From 3578af4be0b4cc882280518eb8f76f572fd0a61a Mon Sep 17 00:00:00 2001 From: Nidhi Satyapriya Date: Mon, 15 Jul 2024 15:11:21 +0530 Subject: [PATCH 1/3] HigherEducation Vs Salary Analysis --- HigherEduVsSalary.ipynb | 3252 +++++++++++++++++ .../HigherEduVsSalary-checkpoint.ipynb | 1706 +++++++++ 2 files changed, 4958 insertions(+) create mode 100644 HigherEduVsSalary.ipynb create mode 100644 backlog/.ipynb_checkpoints/HigherEduVsSalary-checkpoint.ipynb diff --git a/HigherEduVsSalary.ipynb b/HigherEduVsSalary.ipynb new file mode 100644 index 0000000..e77a8e6 --- /dev/null +++ b/HigherEduVsSalary.ipynb @@ -0,0 +1,3252 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Higher Education Vs Salary Of Developers: EDA and Analysis\n", + " Stack_Overflow 2018 Dataset\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Introduction\n", + "This feature aims to analyze the correlation between higher education levels and the salaries of developers surveyed in 2018. The analysis will help understand how different educational qualifications influence earning potential in the developer community." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "#importing modules\n", + "import numpy as np \n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "import seaborn as sns" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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RespondentHobbyOpenSourceCountryStudentEmploymentFormalEducationUndergradMajorCompanySizeDevType...ExerciseGenderSexualOrientationEducationParentsRaceEthnicityAgeDependentsMilitaryUSSurveyTooLongSurveyEasy
01YesNoKenyaNoEmployed part-timeBachelor’s degree (BA, BS, B.Eng., etc.)Mathematics or statistics20 to 99 employeesFull-stack developer...3 - 4 times per weekMaleStraight or heterosexualBachelor’s degree (BA, BS, B.Eng., etc.)Black or of African descent25 - 34 years oldYesNaNThe survey was an appropriate lengthVery easy
13YesYesUnited KingdomNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)A natural science (ex. biology, chemistry, phy...10,000 or more employeesDatabase administrator;DevOps specialist;Full-......Daily or almost every dayMaleStraight or heterosexualBachelor’s degree (BA, BS, B.Eng., etc.)White or of European descent35 - 44 years oldYesNaNThe survey was an appropriate lengthSomewhat easy
24YesYesUnited StatesNoEmployed full-timeAssociate degreeComputer science, computer engineering, or sof...20 to 99 employeesEngineering manager;Full-stack developer...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
35NoNoUnited StatesNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...100 to 499 employeesFull-stack developer...I don't typically exerciseMaleStraight or heterosexualSome college/university study without earning ...White or of European descent35 - 44 years oldNoNoThe survey was an appropriate lengthSomewhat easy
47YesNoSouth AfricaYes, part-timeEmployed full-timeSome college/university study without earning ...Computer science, computer engineering, or sof...10,000 or more employeesData or business analyst;Desktop or enterprise......3 - 4 times per weekMaleStraight or heterosexualSome college/university study without earning ...White or of European descent18 - 24 years oldYesNaNThe survey was an appropriate lengthSomewhat easy
58YesNoUnited KingdomNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...10 to 19 employeesBack-end developer;Database administrator;Fron......1 - 2 times per weekMaleStraight or heterosexualSecondary school (e.g. American high school, G...White or of European descent18 - 24 years oldNoNaNThe survey was an appropriate lengthSomewhat easy
69YesYesUnited StatesNoEmployed full-timeSome college/university study without earning ...Computer science, computer engineering, or sof...10,000 or more employeesBack-end developer;Front-end developer;Full-st......I don't typically exerciseMaleStraight or heterosexualMaster’s degree (MA, MS, M.Eng., MBA, etc.)White or of European descent18 - 24 years oldNoNoThe survey was an appropriate lengthSomewhat easy
710YesYesNigeriaNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...10 to 19 employeesDesigner;Front-end developer;QA or test developer...1 - 2 times per weekFemaleNaNPrimary/elementary schoolBlack or of African descent25 - 34 years oldNoNaNThe survey was too longSomewhat difficult
811YesYesUnited StatesNoEmployed full-timeSome college/university study without earning ...Fine arts or performing arts (ex. graphic desi...100 to 499 employeesBack-end developer;C-suite executive (CEO, CTO......I don't typically exerciseMaleStraight or heterosexualSome college/university study without earning ...White or of European descent35 - 44 years oldYesNoThe survey was an appropriate lengthVery easy
916NoYesIndiaNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...500 to 999 employeesDesigner...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
\n", + "

10 rows × 129 columns

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" + ], + "text/plain": [ + " Respondent Hobby OpenSource Country Student \\\n", + "0 1 Yes No Kenya No \n", + "1 3 Yes Yes United Kingdom No \n", + "2 4 Yes Yes United States No \n", + "3 5 No No United States No \n", + "4 7 Yes No South Africa Yes, part-time \n", + "5 8 Yes No United Kingdom No \n", + "6 9 Yes Yes United States No \n", + "7 10 Yes Yes Nigeria No \n", + "8 11 Yes Yes United States No \n", + "9 16 No Yes India No \n", + "\n", + " Employment FormalEducation \\\n", + "0 Employed part-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "1 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "2 Employed full-time Associate degree \n", + "3 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "4 Employed full-time Some college/university study without earning ... \n", + "5 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "6 Employed full-time Some college/university study without earning ... \n", + "7 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "8 Employed full-time Some college/university study without earning ... \n", + "9 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "\n", + " UndergradMajor \\\n", + "0 Mathematics or statistics \n", + "1 A natural science (ex. biology, chemistry, phy... \n", + "2 Computer science, computer engineering, or sof... \n", + "3 Computer science, computer engineering, or sof... \n", + "4 Computer science, computer engineering, or sof... \n", + "5 Computer science, computer engineering, or sof... \n", + "6 Computer science, computer engineering, or sof... \n", + "7 Computer science, computer engineering, or sof... \n", + "8 Fine arts or performing arts (ex. graphic desi... \n", + "9 Computer science, computer engineering, or sof... \n", + "\n", + " CompanySize \\\n", + "0 20 to 99 employees \n", + "1 10,000 or more employees \n", + "2 20 to 99 employees \n", + "3 100 to 499 employees \n", + "4 10,000 or more employees \n", + "5 10 to 19 employees \n", + "6 10,000 or more employees \n", + "7 10 to 19 employees \n", + "8 100 to 499 employees \n", + "9 500 to 999 employees \n", + "\n", + " DevType ... \\\n", + "0 Full-stack developer ... \n", + "1 Database administrator;DevOps specialist;Full-... ... \n", + "2 Engineering manager;Full-stack developer ... \n", + "3 Full-stack developer ... \n", + "4 Data or business analyst;Desktop or enterprise... ... \n", + "5 Back-end developer;Database administrator;Fron... ... \n", + "6 Back-end developer;Front-end developer;Full-st... ... \n", + "7 Designer;Front-end developer;QA or test developer ... \n", + "8 Back-end developer;C-suite executive (CEO, CTO... ... \n", + "9 Designer ... \n", + "\n", + " Exercise Gender SexualOrientation \\\n", + "0 3 - 4 times per week Male Straight or heterosexual \n", + "1 Daily or almost every day Male Straight or heterosexual \n", + "2 NaN NaN NaN \n", + "3 I don't typically exercise Male Straight or heterosexual \n", + "4 3 - 4 times per week Male Straight or heterosexual \n", + "5 1 - 2 times per week Male Straight or heterosexual \n", + "6 I don't typically exercise Male Straight or heterosexual \n", + "7 1 - 2 times per week Female NaN \n", + "8 I don't typically exercise Male Straight or heterosexual \n", + "9 NaN NaN NaN \n", + "\n", + " EducationParents \\\n", + "0 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "1 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "2 NaN \n", + "3 Some college/university study without earning ... \n", + "4 Some college/university study without earning ... \n", + "5 Secondary school (e.g. American high school, G... \n", + "6 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", + "7 Primary/elementary school \n", + "8 Some college/university study without earning ... \n", + "9 NaN \n", + "\n", + " RaceEthnicity Age Dependents MilitaryUS \\\n", + "0 Black or of African descent 25 - 34 years old Yes NaN \n", + "1 White or of European descent 35 - 44 years old Yes NaN \n", + "2 NaN NaN NaN NaN \n", + "3 White or of European descent 35 - 44 years old No No \n", + "4 White or of European descent 18 - 24 years old Yes NaN \n", + "5 White or of European descent 18 - 24 years old No NaN \n", + "6 White or of European descent 18 - 24 years old No No \n", + "7 Black or of African descent 25 - 34 years old No NaN \n", + "8 White or of European descent 35 - 44 years old Yes No \n", + "9 NaN NaN NaN NaN \n", + "\n", + " SurveyTooLong SurveyEasy \n", + "0 The survey was an appropriate length Very easy \n", + "1 The survey was an appropriate length Somewhat easy \n", + "2 NaN NaN \n", + "3 The survey was an appropriate length Somewhat easy \n", + "4 The survey was an appropriate length Somewhat easy \n", + "5 The survey was an appropriate length Somewhat easy \n", + "6 The survey was an appropriate length Somewhat easy \n", + "7 The survey was too long Somewhat difficult \n", + "8 The survey was an appropriate length Very easy \n", + "9 NaN NaN \n", + "\n", + "[10 rows x 129 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df=pd.read_csv(\"../Data/survey_results_sample_2018.csv\") #data loading\n", + "df.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data Exploration" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(99, 129)\n" + ] + } + ], + "source": [ + "print(df.shape)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Respondent int64\n", + "Hobby object\n", + "OpenSource object\n", + "Country object\n", + "Student object\n", + " ... \n", + "Age object\n", + "Dependents object\n", + "MilitaryUS object\n", + "SurveyTooLong object\n", + "SurveyEasy object\n", + "Length: 129, dtype: object" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Respondent', 'Hobby', 'OpenSource', 'Country', 'Student', 'Employment', 'FormalEducation', 'UndergradMajor', 'CompanySize', 'DevType', 'YearsCoding', 'YearsCodingProf', 'JobSatisfaction', 'CareerSatisfaction', 'HopeFiveYears', 'JobSearchStatus', 'LastNewJob', 'AssessJob1', 'AssessJob2', 'AssessJob3', 'AssessJob4', 'AssessJob5', 'AssessJob6', 'AssessJob7', 'AssessJob8', 'AssessJob9', 'AssessJob10', 'AssessBenefits1', 'AssessBenefits2', 'AssessBenefits3', 'AssessBenefits4', 'AssessBenefits5', 'AssessBenefits6', 'AssessBenefits7', 'AssessBenefits8', 'AssessBenefits9', 'AssessBenefits10', 'AssessBenefits11', 'JobContactPriorities1', 'JobContactPriorities2', 'JobContactPriorities3', 'JobContactPriorities4', 'JobContactPriorities5', 'JobEmailPriorities1', 'JobEmailPriorities2', 'JobEmailPriorities3', 'JobEmailPriorities4', 'JobEmailPriorities5', 'JobEmailPriorities6', 'JobEmailPriorities7', 'UpdateCV', 'Currency', 'Salary', 'SalaryType', 'ConvertedSalary', 'CurrencySymbol', 'CommunicationTools', 'TimeFullyProductive', 'EducationTypes', 'SelfTaughtTypes', 'TimeAfterBootcamp', 'HackathonReasons', 'AgreeDisagree1', 'AgreeDisagree2', 'AgreeDisagree3', 'LanguageWorkedWith', 'LanguageDesireNextYear', 'DatabaseWorkedWith', 'DatabaseDesireNextYear', 'PlatformWorkedWith', 'PlatformDesireNextYear', 'FrameworkWorkedWith', 'FrameworkDesireNextYear', 'IDE', 'OperatingSystem', 'NumberMonitors', 'Methodology', 'VersionControl', 'CheckInCode', 'AdBlocker', 'AdBlockerDisable', 'AdBlockerReasons', 'AdsAgreeDisagree1', 'AdsAgreeDisagree2', 'AdsAgreeDisagree3', 'AdsActions', 'AdsPriorities1', 'AdsPriorities2', 'AdsPriorities3', 'AdsPriorities4', 'AdsPriorities5', 'AdsPriorities6', 'AdsPriorities7', 'AIDangerous', 'AIInteresting', 'AIResponsible', 'AIFuture', 'EthicsChoice', 'EthicsReport', 'EthicsResponsible', 'EthicalImplications', 'StackOverflowRecommend', 'StackOverflowVisit', 'StackOverflowHasAccount', 'StackOverflowParticipate', 'StackOverflowJobs', 'StackOverflowDevStory', 'StackOverflowJobsRecommend', 'StackOverflowConsiderMember', 'HypotheticalTools1', 'HypotheticalTools2', 'HypotheticalTools3', 'HypotheticalTools4', 'HypotheticalTools5', 'WakeTime', 'HoursComputer', 'HoursOutside', 'SkipMeals', 'ErgonomicDevices', 'Exercise', 'Gender', 'SexualOrientation', 'EducationParents', 'RaceEthnicity', 'Age', 'Dependents', 'MilitaryUS', 'SurveyTooLong', 'SurveyEasy']\n" + ] + } + ], + "source": [ + "print(df.columns.tolist())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Parameters Relevant to our Analysis: Initial Observation\n", + "'FormalEducation' , 'UndergradMajor', 'SalaryType', 'ConvertedSalary', " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Monthly 26\n", + "Yearly 22\n", + "Weekly 1\n", + "Name: SalaryType, dtype: int64" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['SalaryType'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Computer science, computer engineering, or software engineering 56\n", + "A natural science (ex. biology, chemistry, physics) 7\n", + "Another engineering discipline (ex. civil, electrical, mechanical) 7\n", + "A business discipline (ex. accounting, finance, marketing) 5\n", + "Fine arts or performing arts (ex. graphic design, music, studio art) 4\n", + "Information systems, information technology, or system administration 3\n", + "Mathematics or statistics 2\n", + "Web development or web design 2\n", + "A social science (ex. anthropology, psychology, political science) 1\n", + "A humanities discipline (ex. literature, history, philosophy) 1\n", + "Name: UndergradMajor, dtype: int64" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['UndergradMajor'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Bachelor’s degree (BA, BS, B.Eng., etc.) 44\n", + "Master’s degree (MA, MS, M.Eng., MBA, etc.) 29\n", + "Some college/university study without earning a degree 17\n", + "Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.) 4\n", + "Associate degree 3\n", + "Name: FormalEducation, dtype: int64" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['FormalEducation'].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data Cleaning" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FormalEducation 2\n", + "UndergradMajor 11\n", + "SalaryType 50\n", + "ConvertedSalary 53\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "\n", + "print(df[['FormalEducation', 'UndergradMajor', 'SalaryType', 'ConvertedSalary']].isnull().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "df2= df[['FormalEducation', 'UndergradMajor', 'SalaryType', 'ConvertedSalary']]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "FormalEducation 2\n", + "UndergradMajor 11\n", + "SalaryType 50\n", + "ConvertedSalary 53\n", + "dtype: int64" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2.isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# Drop rows where ConvertedSalary is NA\n", + "df2 = df2.dropna(subset=['ConvertedSalary'])\n", + "df2 = df2.dropna(subset=['UndergradMajor'])\n", + "# Drop rows where both FormalEducation and UndergradMajor are NA\n", + "df2 = df2.dropna(subset=['FormalEducation'])\n", + "\n", + "# Display the first few rows to verify\n", + "print(df2.isna().sum())\n", + "print(df2.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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FormalEducationUndergradMajorSalaryTypeConvertedSalary
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FormalEducationUndergradMajorSalaryTypeConvertedSalary
1Bachelor’s degree (BA, BS, B.Eng., etc.)A natural science (ex. biology, chemistry, phy...Yearly70841.0
4Some college/university study without earning ...Computer science, computer engineering, or sof...Yearly21426.0
6Some college/university study without earning ...Computer science, computer engineering, or sof...Yearly120000.0
8Some college/university study without earning ...Fine arts or performing arts (ex. graphic desi...Yearly250000.0
17Master’s degree (MA, MS, M.Eng., MBA, etc.)A business discipline (ex. accounting, finance...Monthly47904.0
20Bachelor’s degree (BA, BS, B.Eng., etc.)Another engineering discipline (ex. civil, ele...Yearly95968.0
22Bachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...Monthly420.0
24Master’s degree (MA, MS, M.Eng., MBA, etc.)Computer science, computer engineering, or sof...Yearly10958.0
25Master’s degree (MA, MS, M.Eng., MBA, etc.)A natural science (ex. biology, chemistry, phy...Monthly51408.0
26Master’s degree (MA, MS, M.Eng., MBA, etc.)Computer science, computer engineering, or sof...Yearly72611.0
\n", + "
" + ], + "text/plain": [ + " FormalEducation \\\n", + "1 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "4 Some college/university study without earning ... \n", + "6 Some college/university study without earning ... \n", + "8 Some college/university study without earning ... \n", + "17 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", + "20 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "22 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "24 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", + "25 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", + "26 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", + "\n", + " UndergradMajor SalaryType \\\n", + "1 A natural science (ex. biology, chemistry, phy... Yearly \n", + "4 Computer science, computer engineering, or sof... Yearly \n", + "6 Computer science, computer engineering, or sof... Yearly \n", + "8 Fine arts or performing arts (ex. graphic desi... Yearly \n", + "17 A business discipline (ex. accounting, finance... Monthly \n", + "20 Another engineering discipline (ex. civil, ele... Yearly \n", + "22 Computer science, computer engineering, or sof... Monthly \n", + "24 Computer science, computer engineering, or sof... Yearly \n", + "25 A natural science (ex. biology, chemistry, phy... Monthly \n", + "26 Computer science, computer engineering, or sof... Yearly \n", + "\n", + " ConvertedSalary \n", + "1 70841.0 \n", + "4 21426.0 \n", + "6 120000.0 \n", + "8 250000.0 \n", + "17 47904.0 \n", + "20 95968.0 \n", + "22 420.0 \n", + "24 10958.0 \n", + "25 51408.0 \n", + "26 72611.0 " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2 = df2.dropna(subset=['SalaryType'])\n", + "df2.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "conversion_factors = {\n", + " 'Yearly': 1,\n", + " 'Monthly': 12,\n", + " 'Weekly': 52,\n", + " \n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "DATA ANALYSIS" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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FormalEducationUndergradMajorSalaryTypeConvertedSalaryNetSalary
1Bachelor’s degree (BA, BS, B.Eng., etc.)A natural science (ex. biology, chemistry, phy...Yearly70841.070841.0
4Some college/university study without earning ...Computer science, computer engineering, or sof...Yearly21426.021426.0
6Some college/university study without earning ...Computer science, computer engineering, or sof...Yearly120000.0120000.0
8Some college/university study without earning ...Fine arts or performing arts (ex. graphic desi...Yearly250000.0250000.0
17Master’s degree (MA, MS, M.Eng., MBA, etc.)A business discipline (ex. accounting, finance...Monthly47904.0574848.0
20Bachelor’s degree (BA, BS, B.Eng., etc.)Another engineering discipline (ex. civil, ele...Yearly95968.095968.0
22Bachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...Monthly420.05040.0
24Master’s degree (MA, MS, M.Eng., MBA, etc.)Computer science, computer engineering, or sof...Yearly10958.010958.0
25Master’s degree (MA, MS, M.Eng., MBA, etc.)A natural science (ex. biology, chemistry, phy...Monthly51408.0616896.0
26Master’s degree (MA, MS, M.Eng., MBA, etc.)Computer science, computer engineering, or sof...Yearly72611.072611.0
\n", + "
" + ], + "text/plain": [ + " FormalEducation \\\n", + "1 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "4 Some college/university study without earning ... \n", + "6 Some college/university study without earning ... \n", + "8 Some college/university study without earning ... \n", + "17 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", + "20 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "22 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "24 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", + "25 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", + "26 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", + "\n", + " UndergradMajor SalaryType \\\n", + "1 A natural science (ex. biology, chemistry, phy... Yearly \n", + "4 Computer science, computer engineering, or sof... Yearly \n", + "6 Computer science, computer engineering, or sof... Yearly \n", + "8 Fine arts or performing arts (ex. graphic desi... Yearly \n", + "17 A business discipline (ex. accounting, finance... Monthly \n", + "20 Another engineering discipline (ex. civil, ele... Yearly \n", + "22 Computer science, computer engineering, or sof... Monthly \n", + "24 Computer science, computer engineering, or sof... Yearly \n", + "25 A natural science (ex. biology, chemistry, phy... Monthly \n", + "26 Computer science, computer engineering, or sof... Yearly \n", + "\n", + " ConvertedSalary NetSalary \n", + "1 70841.0 70841.0 \n", + "4 21426.0 21426.0 \n", + "6 120000.0 120000.0 \n", + "8 250000.0 250000.0 \n", + "17 47904.0 574848.0 \n", + "20 95968.0 95968.0 \n", + "22 420.0 5040.0 \n", + "24 10958.0 10958.0 \n", + "25 51408.0 616896.0 \n", + "26 72611.0 72611.0 " + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Function to convert salary to annual\n", + "def convert_to_annual(row):\n", + " salary_type = row['SalaryType']\n", + " salary = row['ConvertedSalary']\n", + " return salary * conversion_factors[salary_type]\n", + "\n", + "# Apply the function to each row\n", + "df2['NetSalary'] = df2.apply(convert_to_annual, axis=1)\n", + "\n", + "# Verify the results\n", + "df2.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " mean median \\\n", + "FormalEducation \n", + "Bachelor’s degree (BA, BS, B.Eng., etc.) 897724.866667 80000.0 \n", + "Master’s degree (MA, MS, M.Eng., MBA, etc.) 235090.857143 100354.0 \n", + "Some college/university study without earning a... 444953.111111 254736.0 \n", + "\n", + " count \n", + "FormalEducation \n", + "Bachelor’s degree (BA, BS, B.Eng., etc.) 15 \n", + "Master’s degree (MA, MS, M.Eng., MBA, etc.) 14 \n", + "Some college/university study without earning a... 9 \n" + ] + } + ], + "source": [ + "# Average and median NetSalary by FormalEducation\n", + "education_salary_stats = df2.groupby('FormalEducation')['NetSalary'].agg(['mean', 'median', 'count'])\n", + "print(education_salary_stats)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Box plot for NetSalary by FormalEducation\n", + "plt.figure(figsize=(30, 16))\n", + "sns.boxplot(x='FormalEducation', y='NetSalary', data=df2)\n", + "plt.xticks(rotation=90)\n", + "plt.title('NetSalary by FormalEducation')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Descriptive statistics\n", + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(x='FormalEducation', y='NetSalary', data=df2, estimator=np.mean)\n", + "plt.xticks(rotation=90)\n", + "plt.title('Mean NetSalary by FormalEducation')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Descriptive statistics\n", + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(x='FormalEducation', y='NetSalary', data=df2, estimator=np.median)\n", + "plt.xticks(rotation=90)\n", + "plt.title('Median NetSalary by FormalEducation')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Bar Plot: Mean_NetSalary & Median_NetSalary by FormalEducation\n", + "\n", + "1) Higher Salary without Degree: The bar plot shows that individuals with \"Some college/university study without earning a degree\" have the highest median NetSalary. This is an unusual finding and might suggest that those without degrees who are earning high salaries have other significant qualifications or experience.\n", + "2) Bachelor's Degree: Individuals with a \"Bachelor’s degree (BA, BS, B.Eng., etc.)\" have a lower mean NetSalary compared to those with some college education but no degree.\n", + "3) Master's Degree: Those with a \"Master’s degree (MA, MS, M.Eng., MBA, etc.)\" have a slightly higher mean NetSalary compared to Bachelor's degree holders but still lower than those with some college education but no degree.\n", + "4) Secondary School: The plot does not show bars for secondary school education, which might indicate there are no or very few individuals with just a secondary school education in the dataset, or their salaries are significantly lower and not visually represented well in the plot.\n", + "\n", + "Box Plot: NetSalary by FormalEducation\n", + "1) Outliers: There are significant outliers in the \"Some college/university study without earning a degree\" and \"Bachelor’s degree\" categories. These outliers represent individuals earning much higher salaries than their peers.\n", + "2) Salary Ranges: The interquartile range (IQR) for \"Some college/university study without earning a degree\" is wider compared to other education levels, indicating more variability in salaries.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "OBSERVATIONS FROM THE BARPLOT AND BOXPLOT:\n", + "\n", + "1) Pursuing a Master's Degree: Individuals with a Master's degree have a slightly higher median and mean salary compared to those with a Bachelor's degree. This suggests that pursuing a Master's degree can lead to a moderate increase in salary, although the increase is not as substantial as one might expect.\n", + "2) The \"Some college/university study without earning a degree\" category shows the highest median and mean salary among all education levels. This indicates that even without a formal degree, individuals with significant skills and experience can command high salary packages. This observation is especially notable as it emphasizes the value of practical skills and experience in the job market.\n", + "3) Secondary School Education: Individuals with only secondary school education have the lowest median and mean salaries, highlighting that we should pursue Higher Education.\n", + "4) Outliers: The presence of significant outliers in both the \"Some college/university study without earning a degree\" and \"Bachelor’s degree\" categories suggests that there are individuals in these groups earning exceptionally high salaries. These outliers may represent individuals with unique qualifications, high-demand skills, or positions in lucrative industries.\n", + "5) Variability in Salaries: The wider interquartile range (IQR) and presence of outliers in the \"Some college/university study without earning a degree\" category indicate a high variability in salaries. This suggests that while some individuals without degrees can earn very high salaries, there is also a broad range of earnings within this group." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ANOVA for NetSalary by FormalEducation: F_onewayResult(statistic=0.5320673146678855, pvalue=0.5920648151779178)\n" + ] + } + ], + "source": [ + "# Statistical testing\n", + "import scipy.stats as stats\n", + "anova_education = stats.f_oneway(*(df2[df2['FormalEducation'] == edu]['NetSalary'] for edu in df2['FormalEducation'].unique()))\n", + "print('ANOVA for NetSalary by FormalEducation:', anova_education)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ANOVA for NetSalary by FormalEducation: F_onewayResult(statistic=0.43624509740464823, pvalue=0.7283596208876479)\n", + "\n", + "The ANOVA results suggest that there is no statistically significant difference in NetSalary across different levels of FormalEducation. This means that, based on the data, FormalEducation alone does not have a significant impact on NetSalary." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Multiple Comparison of Means - Tukey HSD, FWER=0.05 \n", + "==========================================================================================================================================================\n", + " group1 group2 meandiff p-adj lower upper reject\n", + "----------------------------------------------------------------------------------------------------------------------------------------------------------\n", + " Bachelor‚Äôs degree (BA, BS, B.Eng., etc.) Master‚Äôs degree (MA, MS, M.Eng., MBA, etc.) -662634.0095 0.5741 -2264354.3435 939086.3244 False\n", + " Bachelor‚Äôs degree (BA, BS, B.Eng., etc.) Some college/university study without earning a degree -452771.7556 0.8158 -2270111.2887 1364567.7776 False\n", + "Master‚Äôs degree (MA, MS, M.Eng., MBA, etc.) Some college/university study without earning a degree 209862.254 0.9581 -1631655.8081 2051380.316 False\n", + "----------------------------------------------------------------------------------------------------------------------------------------------------------\n" + ] + } + ], + "source": [ + "import statsmodels.api as sm\n", + "from statsmodels.stats.multicomp import pairwise_tukeyhsd\n", + "\n", + "# Perform Tukey's HSD test\n", + "tukey = pairwise_tukeyhsd(endog=df2['NetSalary'], groups=df2['FormalEducation'], alpha=0.05)\n", + "\n", + "# Print the results\n", + "print(tukey)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "CONCLUSION FROM 'FORMAL EDUCATION'\n", + "Therefore, while there may be observable differences in the mean salaries, they are not statistically significant enough to infer that one educational level consistently results in a higher or lower salary than another.\n", + "This suggests that other factors besides formal education level might be playing a more critical role in determining salaries, such as work experience, industry, geographic location, or specific skill sets." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " mean median \\\n", + "UndergradMajor \n", + "A business discipline (ex. accounting, finance,... 4.910880e+05 509472.0 \n", + "A humanities discipline (ex. literature, histor... 4.320000e+05 432000.0 \n", + "A natural science (ex. biology, chemistry, phys... 2.467880e+05 70841.0 \n", + "A social science (ex. anthropology, psychology,... 1.080000e+07 10800000.0 \n", + "Another engineering discipline (ex. civil, elec... 5.025752e+05 95968.0 \n", + "Computer science, computer engineering, or soft... 2.012078e+05 115000.0 \n", + "Fine arts or performing arts (ex. graphic desig... 2.500000e+05 250000.0 \n", + "Mathematics or statistics 8.264800e+04 82648.0 \n", + "Web development or web design 4.400000e+04 44000.0 \n", + "\n", + " count \n", + "UndergradMajor \n", + "A business discipline (ex. accounting, finance,... 3 \n", + "A humanities discipline (ex. literature, histor... 1 \n", + "A natural science (ex. biology, chemistry, phys... 3 \n", + "A social science (ex. anthropology, psychology,... 1 \n", + "Another engineering discipline (ex. civil, elec... 5 \n", + "Computer science, computer engineering, or soft... 22 \n", + "Fine arts or performing arts (ex. graphic desig... 1 \n", + "Mathematics or statistics 1 \n", + "Web development or web design 1 \n" + ] + } + ], + "source": [ + "\n", + "# Average and median NetSalary by UndergradMajor\n", + "major_salary_stats = df2.groupby('UndergradMajor')['NetSalary'].agg(['mean', 'median', 'count'])\n", + "major_salary_stats['mean'] = major_salary_stats['mean'].round(3)\n", + "print(major_salary_stats)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ANOVA for NetSalary by UndergradMajor: F_onewayResult(statistic=121.02161297389488, pvalue=3.625505738330034e-20)\n" + ] + } + ], + "source": [ + "\n", + "import scipy.stats as stats\n", + "\n", + "# Perform ANOVA on the filtered data\n", + "anova_major = stats.f_oneway(*(df2[df2['UndergradMajor'] == major]['NetSalary'] for major in df2['UndergradMajor'].unique()))\n", + "print('ANOVA for NetSalary by UndergradMajor:', anova_major)\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ANOVA for NetSalary by UndergradMajor: F_onewayResult(statistic=121.02161297389488, pvalue=3.62550573833004e-20)\n", + "\n", + "The ANOVA results show that there is a statistically significant difference in NetSalary across different UndergradMajor categories. This means that the field of study in one's undergraduate education has a significant impact on their net salary." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 8))\n", + "sns.boxplot(x='UndergradMajor', y='NetSalary', data=df2)\n", + "plt.xticks(rotation=90)\n", + "plt.title('NetSalary by UndergradMajor')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(x='UndergradMajor', y='NetSalary', data=df2, estimator=np.mean)\n", + "plt.xticks(rotation=90)\n", + "plt.title('Mean NetSalary by UndergradMajor')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(x='UndergradMajor', y='NetSalary', data=df2, estimator=np.median)\n", + "plt.xticks(rotation=90)\n", + "plt.title('Median NetSalary by UndergradMajor')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Multiple Comparison of Means - Tukey HSD, FWER=0.05 \n", + "===================================================================================================================================================================================================\n", + " group1 group2 meandiff p-adj lower upper reject\n", + "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + " A business discipline (ex. accounting, finance, marketing) A humanities discipline (ex. literature, history, philosophy) -59088.0 1.0 -1353139.969 1234963.969 False\n", + " A business discipline (ex. accounting, finance, marketing) A natural science (ex. biology, chemistry, physics) -244300.0 0.9916 -1159332.9225 670732.9225 False\n", + " A business discipline (ex. accounting, finance, marketing) A social science (ex. anthropology, psychology, political science) 10308912.0 0.0 9014860.031 11602963.969 True\n", + " A business discipline (ex. accounting, finance, marketing) Another engineering discipline (ex. civil, electrical, mechanical) 11487.2 1.0 -806943.1265 829917.5265 False\n", + " A business discipline (ex. accounting, finance, marketing) Computer science, computer engineering, or software engineering -289880.2273 0.8864 -979612.2442 399851.7897 False\n", + " A business discipline (ex. accounting, finance, marketing) Fine arts or performing arts (ex. graphic design, music, studio art) -241088.0 0.9993 -1535139.969 1052963.969 False\n", + " A business discipline (ex. accounting, finance, marketing) Mathematics or statistics -408440.0 0.9761 -1702491.969 885611.969 False\n", + " A business discipline (ex. accounting, finance, marketing) Web development or web design -447088.0 0.9595 -1741139.969 846963.969 False\n", + " A humanities discipline (ex. literature, history, philosophy) A natural science (ex. biology, chemistry, physics) -185212.0 0.9999 -1479263.969 1108839.969 False\n", + " A humanities discipline (ex. literature, history, philosophy) A social science (ex. anthropology, psychology, political science) 10368000.0 0.0 8783116.4877 11952883.5123 True\n", + " A humanities discipline (ex. literature, history, philosophy) Another engineering discipline (ex. civil, electrical, mechanical) 70575.2 1.0 -1157070.2898 1298220.6898 False\n", + " A humanities discipline (ex. literature, history, philosophy) Computer science, computer engineering, or software engineering -230792.2273 0.9988 -1376661.1135 915076.659 False\n", + " A humanities discipline (ex. literature, history, philosophy) Fine arts or performing arts (ex. graphic design, music, studio art) -182000.0 1.0 -1766883.5123 1402883.5123 False\n", + " A humanities discipline (ex. literature, history, philosophy) Mathematics or statistics -349352.0 0.9977 -1934235.5123 1235531.5123 False\n", + " A humanities discipline (ex. literature, history, philosophy) Web development or web design -388000.0 0.9953 -1972883.5123 1196883.5123 False\n", + " A natural science (ex. biology, chemistry, physics) A social science (ex. anthropology, psychology, political science) 10553212.0 0.0 9259160.031 11847263.969 True\n", + " A natural science (ex. biology, chemistry, physics) Another engineering discipline (ex. civil, electrical, mechanical) 255787.2 0.9775 -562643.1265 1074217.5265 False\n", + " A natural science (ex. biology, chemistry, physics) Computer science, computer engineering, or software engineering -45580.2273 1.0 -735312.2442 644151.7897 False\n", + " A natural science (ex. biology, chemistry, physics) Fine arts or performing arts (ex. graphic design, music, studio art) 3212.0 1.0 -1290839.969 1297263.969 False\n", + " A natural science (ex. biology, chemistry, physics) Mathematics or statistics -164140.0 1.0 -1458191.969 1129911.969 False\n", + " A natural science (ex. biology, chemistry, physics) Web development or web design -202788.0 0.9998 -1496839.969 1091263.969 False\n", + " A social science (ex. anthropology, psychology, political science) Another engineering discipline (ex. civil, electrical, mechanical) -10297424.8 0.0 -11525070.2898 -9069779.3102 True\n", + " A social science (ex. anthropology, psychology, political science) Computer science, computer engineering, or software engineering -10598792.2273 0.0 -11744661.1135 -9452923.341 True\n", + " A social science (ex. anthropology, psychology, political science) Fine arts or performing arts (ex. graphic design, music, studio art) -10550000.0 0.0 -12134883.5123 -8965116.4877 True\n", + " A social science (ex. anthropology, psychology, political science) Mathematics or statistics -10717352.0 0.0 -12302235.5123 -9132468.4877 True\n", + " A social science (ex. anthropology, psychology, political science) Web development or web design -10756000.0 0.0 -12340883.5123 -9171116.4877 True\n", + " Another engineering discipline (ex. civil, electrical, mechanical) Computer science, computer engineering, or software engineering -301367.4273 0.6718 -856590.9907 253856.1362 False\n", + " Another engineering discipline (ex. civil, electrical, mechanical) Fine arts or performing arts (ex. graphic design, music, studio art) -252575.2 0.9986 -1480220.6898 975070.2898 False\n", + " Another engineering discipline (ex. civil, electrical, mechanical) Mathematics or statistics -419927.2 0.9617 -1647572.6898 807718.2898 False\n", + " Another engineering discipline (ex. civil, electrical, mechanical) Web development or web design -458575.2 0.9377 -1686220.6898 769070.2898 False\n", + " Computer science, computer engineering, or software engineering Fine arts or performing arts (ex. graphic design, music, studio art) 48792.2273 1.0 -1097076.659 1194661.1135 False\n", + " Computer science, computer engineering, or software engineering Mathematics or statistics -118559.7727 1.0 -1264428.659 1027309.1135 False\n", + " Computer science, computer engineering, or software engineering Web development or web design -157207.7727 0.9999 -1303076.659 988661.1135 False\n", + "Fine arts or performing arts (ex. graphic design, music, studio art) Mathematics or statistics -167352.0 1.0 -1752235.5123 1417531.5123 False\n", + "Fine arts or performing arts (ex. graphic design, music, studio art) Web development or web design -206000.0 1.0 -1790883.5123 1378883.5123 False\n", + " Mathematics or statistics Web development or web design -38648.0 1.0 -1623531.5123 1546235.5123 False\n", + "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n" + ] + } + ], + "source": [ + "import statsmodels.api as sm\n", + "from statsmodels.stats.multicomp import pairwise_tukeyhsd\n", + "\n", + "# Perform Tukey's HSD test\n", + "tukey = pairwise_tukeyhsd(endog=df2['NetSalary'], groups=df2['UndergradMajor'], alpha=0.05)\n", + "\n", + "# Print the results\n", + "print(tukey)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Presence of Outliers:\n", + "\n", + "The box plot for social sciences (e.g., anthropology, psychology, political science) shows an extreme outlier, indicating there is a salary significantly higher than the rest within this major.\n", + "Computer science, engineering, and fine arts majors also show some smaller outliers, indicating occasional higher or lower salaries compared to the majority.\n", + "\n", + "Comparison of Medians:\n", + "\n", + "The median salary is highest for business disciplines among the typical ranges, excluding the extreme outlier in social sciences.\n", + "\n", + "Humanities and mathematics/statistics majors have the lowest median salaries.\n", + "\n", + "Engineering and computer science majors generally have higher median salaries compared to fine arts and humanities.\n", + "\n", + "Engineering disciplines show a longer range, indicating more salary variation.\n", + "\n", + "Web development/design and humanities have shorter whiskers, suggesting less variation in salaries.\n", + "\n", + "Mathematics or Statistics: Salaries are low with minimal variation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "INSIGHTS:\n", + "\n", + "\n", + "Highest Earning Potential:\n", + "\n", + "Social Sciences: With a mean and median salary of 10,800,000.00, this field has significantly higher earnings, likely due to lack of data.\n", + "\n", + "Consistent Earnings:\n", + "\n", + "1) Business Discipline: Both the mean and median are around 491,088.00, suggesting consistent and relatively high earning potential.\n", + "2) Humanities: Consistent earnings with both mean and median at 432,000.00.\n", + "3) Engineering and Computer Science:\n", + "Other Engineering: Mean salary is 502,575.20, with a median lower at 95,968.00, indicating some people, added with unique skills and experience, can earn signficantly greater than the rest\n", + "Computer Science: Mean salary is 201,207.80 with a median higher at 115,000.00, indicating steady earnings potential.\n", + "Fine Arts:\n", + "4) Fine Arts: Has a mean and median salary of 250,000.00, showing consistent earnings for graduates in this field.\n", + "5) Lower Earning Potential: Web Development: Lowest mean and median salary at 44,000.00.\n", + "6) Mathematics or Statistics: Lower salary range with mean and median at 82,648.00.\n", + "\n", + "Education Level Impact:\n", + "\n", + "1) Bachelor's Degree: While having the highest mean salary (897,724.87), the median is relatively low at 80,000.00, indicating potential high outliers.\n", + "2) Master's Degree: Higher median salary at 100,354.00 compared to bachelor's degree, suggesting additional education can improve earning potential.\n", + "3) Some College/University: Interestingly, has a high median salary at 254,736.00, indicating individuals who pursue specific high-earning skills without completing a degree." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Performing Two-Way ANOVA\n", + "\n", + "To examine the combined effect of FormalEducation and UndergradMajor on NetSalary" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "plt.figure(figsize=(12, 8))\n", + "sns.pointplot(data=df2, x='FormalEducation', y='NetSalary', hue='UndergradMajor', dodge=True, markers=[\"o\", \"s\", \"D\", \"^\", \"v\", \"p\", \"h\", \"*\", \"P\"], capsize=.1, errwidth=1, palette=\"colorblind\")\n", + "plt.xticks(rotation=90)\n", + "plt.title('Interaction between FormalEducation and UndergradMajor on NetSalary')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "General Trend:\n", + "The most significant salaries are observed in the \"Some College/University study without earning a degree\" category for certain majors.\n", + "Master's Degree:\n", + "\n", + "A noticeable outlier is seen for the natural sciences, which shows a significantly higher NetSalary.\n", + "\n", + "Natural Sciences:\n", + "Very high salary for Master's degree.\n", + "Social Sciences:\n", + "Peaks significantly at \"Some College/University study without earning a degree\" but returns to lower levels for Bachelor's and Master's degrees.\n", + "\n", + "Outliers:\n", + "\n", + "There are significant outliers in the data. For instance, the natural sciences major with a Master's degree shows an unusually high NetSalary.\n", + "\n", + "Implications:\n", + "\n", + "Higher education (such as a Master's degree) in natural sciences may lead to higher salaries.\n", + "\n", + "Some College/University study without a degree in social sciences may offer better salary prospects than expected.\n", + "\n", + "For most other fields, the degree level does not significantly impact the NetSalary.\n", + "\n", + "Recommendations:\n", + "\n", + "For students pursuing higher salaries, focusing on natural sciences and aiming for a Master's degree might be beneficial.\n", + "\n", + "Those interested in social sciences might explore opportunities even with incomplete higher education." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3-5 years 26\n", + "0-2 years 22\n", + "6-8 years 12\n", + "9-11 years 9\n", + "12-14 years 6\n", + "18-20 years 3\n", + "21-23 years 3\n", + "24-26 years 2\n", + "15-17 years 1\n", + "Name: YearsCodingProf, dtype: int64" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['YearsCodingProf'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.linear_model import LinearRegression\n", + "import matplotlib.pyplot as plt\n", + "experience_mapping = {\n", + " '0-2 years': 1,\n", + " '3-5 years': 2,\n", + " '6-8 years': 3,\n", + " '9-11 years': 4,\n", + " '12-14 years': 5,\n", + " '15-17 years': 6,\n", + " '18-20 years': 7,\n", + " '21-23 years': 8,\n", + " '24-26 years': 9\n", + "}\n", + "df2['ProfCodOrdinal'] = df['YearsCodingProf'].map(experience_mapping)\n", + "# Calculate median NetSalary for each ProfCodOrdinal\n", + "median_salaries = df2.groupby('ProfCodOrdinal')['NetSalary'].median().reset_index()\n", + "\n", + "# Plot the median NetSalary against ProfCodOrdinal\n", + "plt.figure(figsize=(10, 6))\n", + "plt.plot(median_salaries['ProfCodOrdinal'], median_salaries['NetSalary'], marker='o', linestyle='-', color='b')\n", + "plt.xlabel('Professional Coding Experience (Ordinal)')\n", + "plt.ylabel('Median Net Salary')\n", + "plt.title('Median Net Salary by Professional Coding Experience')\n", + "plt.grid(True)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Correlation coefficient: -0.17\n", + "Intercept: 952327.47\n", + "Coefficient: -138979.47\n" + ] + } + ], + "source": [ + "# Linear regression\n", + "X = df2[['ProfCodOrdinal']]\n", + "y = df2['NetSalary']\n", + "reg = LinearRegression().fit(X, y)\n", + "df2['PredictedSalary'] = reg.predict(X)\n", + "\n", + "# Plot regression line\n", + "plt.figure(figsize=(10, 6))\n", + "sns.scatterplot(x='ProfCodOrdinal', y='NetSalary', data=df2)\n", + "plt.plot(df2['ProfCodOrdinal'], df2['PredictedSalary'], color='red', linewidth=2)\n", + "plt.xticks(ticks=np.arange(1, 10), labels=experience_mapping.keys(), rotation=45)\n", + "plt.xlabel('Years of Coding Experience')\n", + "plt.ylabel('Average Salary')\n", + "plt.title('Linear Regression: Salary vs. Coding Experience')\n", + "plt.show()\n", + "\n", + "# Correlation coefficient\n", + "correlation = df2['ProfCodOrdinal'].corr(df2['NetSalary'])\n", + "print(f\"Correlation coefficient: {correlation:.2f}\")\n", + "\n", + "# Regression coefficients\n", + "print(f\"Intercept: {reg.intercept_:.2f}\")\n", + "print(f\"Coefficient: {reg.coef_[0]:.2f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3-5 years 20\n", + "6-8 years 18\n", + "9-11 years 17\n", + "0-2 years 15\n", + "15-17 years 7\n", + "12-14 years 7\n", + "18-20 years 6\n", + "24-26 years 5\n", + "30 or more years 3\n", + "21-23 years 1\n", + "Name: YearsCoding, dtype: int64" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['YearsCoding'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.linear_model import LinearRegression\n", + "import matplotlib.pyplot as plt\n", + "experience_mapping = {\n", + " '0-2 years': 1,\n", + " '3-5 years': 2,\n", + " '6-8 years': 3,\n", + " '9-11 years': 4,\n", + " '12-14 years': 5,\n", + " '15-17 years': 6,\n", + " '18-20 years': 7,\n", + " '21-23 years': 8,\n", + " '24-26 years': 9\n", + "}\n", + "df2['CodOrdinal'] = df['YearsCoding'].map(experience_mapping)\n", + "# Calculate median NetSalary for each ProfCodOrdinal\n", + "median_salaries = df2.groupby('CodOrdinal')['NetSalary'].median().reset_index()\n", + "\n", + "# Plot the median NetSalary against CodOrdinal\n", + "plt.figure(figsize=(10, 6))\n", + "plt.plot(median_salaries['CodOrdinal'], median_salaries['NetSalary'], marker='o', linestyle='-', color='b')\n", + "plt.xlabel('Coding Experience (Ordinal)')\n", + "plt.ylabel('Median Net Salary')\n", + "plt.title('Median Net Salary by Coding Experience')\n", + "plt.grid(True)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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LFvPCCy/YLBN/Dq9WrZr1/GKMMSdPnjSenp6md+/e1mmOntu7deuWIP74efGv8+bNmyZnzpymbdu2NsvFxsaaypUrm5o1ayZ47fbOjxs3bjSSzLvvvptkHoODg42Hh4d57bXXbKbfuHHD5MuXz3Ts2DHJdYGkPNRd9TZu3Ki2bduqQIECslgsWrFihUPrJzXyTdasWZ0TMJxm3rx52r59e4Kfe69QJ6ZmzZrau3ev+vXrp19++UVhYWEPHM+ePXvk6elp83PvyHpNmjRJ9Ib/9evX6/HHH1dAQIDc3d3l6empESNG6MqVK7p06ZKkO1cVJen555+3Wbdjx47y8Ei+Ifro0aP6559/rOvGxMRYf1q1aqXz58/r33//tVnn3ha1+C42p06dspcKq9dff936vmzYsEH/+9//tHTpUpsujvGv696rojVr1lTZsmWt3UK2bt2q27dvJ1iucOHCatKkiXW5nDlzqkSJEvr44481ceJE7d69O9XuXUksJxEREdb36I8//pB05z25W1JdOiWpdu3a8vT0lJ+fn5544gnlyJFDP/zwg/U9deS9++OPP9SkSRObeyzc3NwSxHN3/He3bEnS6tWr1bhxYxUoUMBmXy1btrR5jTVr1tT169f13HPP6Ycffkh0FMmaNWvqp59+0ttvv63ff/89wf0t//77r86dO6euXbvadJPLli2bOnTooG3btunWrVs263To0CHBfrp166aYmJhkW4HitWrVSsHBwfr+++81ZMgQlS9fXitWrNCTTz6pV1991WbZZcuWqV69esqWLZs8PDzk6empmTNnJugamhhH1k3svODn56cXX3xRc+bMsbasrV+/XocOHUoQ571y5cqltm3bau7cudZj/9q1a/rhhx/UrVs367GVkvfQWdavX69y5cqpZs2aNtN79OghY4y1ZXvDhg3y8/NL8LcXP+hMSlSpUsXami9JPj4+Kl26tM25zNG/naSsW7cuwWfSvd9TcuXKpSVLlmjXrl2qW7euihQpomnTpiW6vS5duth0PwwKClLdunWt5837Obcn9jd0ry1btujq1avq3r27zTbj4uL0xBNPaPv27dbjMp698+NPP/0kScm2lv7yyy/Wv+W79+vj46OGDRs6faRYZE4PdeF08+ZNVa5cWV988cV9rT9kyBCdP3/e5qdcuXJ69tlnUzlSOFvZsmVVo0aNBD+JjWh0r2HDhmnChAnatm2bWrZsqVy5cqlp06ZJDnF+t/gP4HsLiDJlylg/KO+9vyleYvdW/P3332revLkk6euvv9bmzZu1fft2vfvuu5Jk/bIZ370pX758Nut7eHgoV65cycYcf7/MkCFDEhR3/fr1k6QEX5ru3WZ8VzZHbu4uVKiQ9X1p1KiRhg0bpuHDh2vZsmX65ZdfbF5XYrkpUKCAdX5Kl7NYLPrtt9/UokULjR8/XtWqVVPu3Lk1YMCAFHVpTI69nFy5ckUeHh7KmTOnzXJ58+ZNcpvxFwDWr1+vl19+WYcPH7YptBx5765cuZLovpLaf2K5vHjxolatWpVgX+XLl7fZV9euXTVr1iydOnVKHTp0UJ48eVSrVi2tXbvWuq3PP/9cb731llasWKHGjRsrZ86cat++vXW4dXvvaVxcnK5du2Y3Zkf5+vqqffv2+vjjj/XHH3/o6NGjKleunL788ksdPHhQkrR8+XJ17NhRBQsW1DfffKOtW7dq+/bt6tmzpyIiIpLdvqPrJvWaXnvtNd24ccM60MwXX3yhQoUKpWhUup49e+rs2bPW9yO+G+TdFx5S8h6mVPx5Mb6rqT1XrlxJ8n2Pnx//b2LH773nweQkdn709va2OZc5+reTlMqVKyf4TKpQoUKC5WrVqqXy5csrIiJCr7zySpIXbxN7nfny5bPm537O7Sn5G4rf7jPPPJNgux999JGMMbp69arNOvbOj5cvX5a7u3uy7138fh999NEE+12yZEmaFvfIPB7qe5xatmxpvfKZmKioKOuIZtevX1eFChX00UcfqVGjRpLuXMnMli2bdfm9e/fq0KFDSV7tQebk4eGhwYMHa/Dgwbp+/brWrVund955Ry1atNDp06eTHamrUaNG8vDw0MqVK/XSSy9Zp/v6+lpv7F+9enWi6yb2jJHFixfL09NTq1evlo+Pj3V6YlcppTs3YRcsWNA6PSYmxuaekcTEX0UdNmyYzY3hdytTpkyy20gt8S1Xe/fuVYsWLayv6/z58wlGxDp37pw19ruXu9fdy0l3rsrOnDlTkvTff/9p6dKlGjVqlKKiopz6t54rVy7FxMTo6tWrNsVTYjeyx4u/ACBJjRs3VmxsrGbMmKFvv/1WzzzzjEPvXa5cuRIMKpHc/hM7HgMDA1WpUiV98MEHia4T/8VWunMvzYsvvqibN29q48aNGjlypNq0aaP//vtPQUFBypo1q0aPHq3Ro0fr4sWL1tantm3b6p9//rH7nrq5uSVoiXHGc3qKFCmil156SQMHDtTBgwdVvnx5ffPNNypWrJiWLFlis8/IyEi723N03aReU8mSJdWyZUt9+eWXatmypVauXKnRo0db75dJTosWLVSgQAHNnj1bLVq00OzZs1WrVq0E94fYew9TqnHjxvL09NSKFSvUt29fu8vnypUryfddks3ffWID4CT3N3U/HP3beVAjR47U/v37Vb16dY0YMUJt2rSx3rNkb/8XLlyw/u3cz7k9JX9D8dudPHlykqOMOlpU5s6dW7Gxsbpw4UKSxVv8fr/99luHjj8gOQ91i5M9L774ojZv3qzFixdr3759evbZZ/XEE08k+UDJGTNmqHTp0omOQISHQ/bs2fXMM8+of//+unr1qvUm1aRaWPLnz6+ePXvqxx9/1OLFix94//EPP737y9Dt27c1f/58m+Xii/97hzlfunRpooNk3K1MmTIqVaqU9u7dm2grXY0aNeTn5+dw7PdetU2J+JHt4gfGaNKkiSQluAl7+/btOnz4sPUG5Dp16sjX1zfBcmfOnNH69esT3Kgcr3Tp0nrvvfdUsWJF7dq164Fit6dhw4aS7owIdTdHjpPx48crR44cGjFihOLi4hx67xo2bKj169fbXJWNi4vTsmXLUrz/Nm3a6MCBAypRokSi+7q7cIqXNWtWtWzZUu+++66ioqKsrTZ3y5s3r3r06KHnnntO//77r27duqUyZcqoYMGCWrhwoc2gLjdv3tR3331nHWkvtdy4cUPh4eGJzovvQhf/+iwWi7y8vGy+ZF64cCFFo+o9yLr3ev3117Vv3z51795d7u7uSbZm38vd3V1du3a1DjyxY8cO9ezZM8nlU/IeJidfvnzq3bu3fvnlF82bNy/RZY4dO6Z9+/ZJujME/KFDh2z+JqU7LbAWi0WNGzeWdKcgu3HjRoJR1xYuXOhQfPakxt9OSq1du1bjxo3Te++9p7Vr11pHCoyKikqw7KJFi2z+Nk6dOqUtW7ZYPw+cdW6vV6+esmfPrkOHDiW5XS8vL4e2GX/Re+rUqUku06JFC3l4eOjYsWNJ7hdw1EPd4pScY8eOadGiRTpz5oz1w2/IkCH6+eefNXv2bP3vf/+zWT4yMlILFizQ22+/7Ypw4UJt27a1Pj8nd+7cOnXqlCZNmqSgoCDrKFTxoxt99tln6t69uzw9PVWmTBn5+flp0qRJOnHihJ5//nmtXLlS7dq1U4ECBXTr1i39888/Wrx4sXx8fJIcrehurVu31sSJE9WlSxe99NJLunLliiZMmJBglLeyZcvqhRde0KRJk+Tp6anHH39cBw4c0IQJE1L0cN/p06erZcuWatGihXr06KGCBQvq6tWrOnz4sHbt2nVfXxAqVqyoxYsXa8mSJSpevLh8fHxsRoUKDg7Wtm3bJN35Mrx161aNGzdOQUFB1qujZcqU0UsvvaTJkyfLzc1NLVu2tI6qV7hwYQ0aNEjSnQJ3+PDheuedd9StWzc999xzunLlikaPHi0fHx+NHDlS0p3RsV599VU9++yzKlWqlLy8vLR+/Xrt27fP5m/dXuz344knnlC9evX0xhtvKCwsTNWrV9fWrVutXyTvvo8nKTly5NCwYcM0dOhQLVy4UC+88EKK37t3331Xq1atUtOmTfXuu+/K19dX06ZNs96LkJL9jxkzRmvXrlXdunU1YMAAlSlTRhERETp58qTWrFmjadOmqVChQurTp498fX1Vr1495c+fXxcuXNC4ceMUEBCgRx99VNKd7kht2rRRpUqVlCNHDh0+fFjz58+3KYjGjx+v559/Xm3atNHLL7+syMhIffzxx7p+/bo+/PDDFOV93rx56tmzp2bNmpXsfU7//vuvWrRooc6dO6thw4bKnz+/rl27ph9//FFfffWVGjVqpLp160qSdaj2fv366ZlnntHp06f1/vvvK3/+/EleiIv3IOveq1mzZipXrpw2bNhgHbo7pXr27KmPPvpIXbp0ka+vb4KR6FLyHp46dUolSpRQ9+7dra24SZk4caKOHz+uHj16WB8mnDdvXoWEhGjt2rWaPXu2Fi9erEqVKmnQoEGaN2+eWrdurTFjxigoKEg//vijpkyZoldeecV67123bt306aefqlu3bvrggw9UqlQprVmzxtrVN7Wkxt+OJO3cuTPR7uLlypWTv7+/zp8/rxdeeEENGzbUyJEj5ebmpiVLlqhBgwYaOnSoJk2aZLPepUuX9NRTT6lPnz4KDQ3VyJEj5ePjYx2xTnLOuT1btmyaPHmyunfvrqtXr+qZZ55Rnjx5dPnyZe3du1eXL19OtgBKTP369dW1a1eNHTtWFy9eVJs2beTt7a3du3crS5Yseu2111S0aFGNGTNG7777ro4fP2697/PixYv6+++/ra3YgENcOzZF+iHJfP/999bfly5daiSZrFmz2vx4eHgkOhLLwoULjYeHh80oYUj/4kf/2b59e6LzW7dubXdUvU8++cTUrVvXBAYGGi8vL1OkSBHTq1cvc/LkSZv1hg0bZgoUKGDc3NwSjFIXGxtr5s2bZ5o1a2YCAwONh4eHCQgIMDVr1jTDhw83Z86csdmWJNO/f/9EY541a5YpU6aM8fb2NsWLFzfjxo0zM2fOTDCaU2RkpHnjjTdMnjx5jI+Pj6ldu7bZunVrgteX2Kh6xhizd+9e07FjR5MnTx7j6elp8uXLZ5o0aWKmTZtmN7+JbfPkyZOmefPmxs/Pz2Y0w8RG1fPx8TGlS5c2AwcOTPA3Fxsbaz766CNTunRp4+npaQIDA80LL7xgTp8+nSBXM2bMMJUqVTJeXl4mICDAtGvXzjrSmzHGXLx40fTo0cM88sgjJmvWrCZbtmymUqVK5tNPP7UZzc9e7ImN1nX3iFt35+ru9+jq1avmxRdfNNmzZzdZsmQxzZo1M9u2bTOSzGeffWY3z8bcGfWrSJEiplSpUtaYU/LeGWPMpk2bTK1atYy3t7fJly+fefPNN81HH31kJJnr169blwsKCjKtW7dOsG9jjLl8+bIZMGCAKVasmPH09DQ5c+Y01atXN++++64JDw83xtwZya5x48Ymb968xsvLyxQoUMB07NjR7Nu3z7qdt99+29SoUcPkyJHDemwPGjTIhISE2OxvxYoVplatWsbHx8dkzZrVNG3a1GzevNlmmaTeg7tzefd7lphr166ZsWPHmiZNmpiCBQsaLy8vkzVrVlOlShUzduxYc+vWLZvlP/zwQ1O0aFHj7e1typYta77++uskR267d1S9lK6b3Hkh3qhRo6wjMDqqbt26RpJ5/vnnE8xLyXsY//eQ3KiBd4uJiTFz5841TZo0MTlz5jQeHh4md+7cpmXLlmbhwoU2oyeeOnXKdOnSxeTKlct4enqaMmXKmI8//thmGWOMOXPmjOnQoYPJli2b8fPzMx06dDBbtmxJ8ah6iR3nDRs2TDCqZkr/dhKT3Kh6kszatWtNTEyMadiwocmbN2+Cc2D8KK7x32niz7fz5883AwYMMLlz5zbe3t6mfv36ZseOHQn2/yDn9rvn3Tt64B9//GFat25tcubMaTw9PU3BggVN69atzbJlyxK89pScH2NjY82nn35qKlSoYD2H16lTx6xatcpm3RUrVpjGjRsbf39/4+3tbYKCgswzzzxj1q1bl+z7ACTGYkwKHlTzELBYLPr++++tz41YsmSJnn/+eR08eDBBH/Bs2bIluCEx/qFu33//fVqFDOAhFP+sos2bN1tbNNJS8+bNdfLkSf33339pvm88uBo1ashisWj79u2uDuWh46q/nd9//12NGzfWsmXL9Mwzz6TpvoHMhq56SahatapiY2N16dIlu/csnThxQhs2bEjQbxoAHsSiRYt09uxZVaxYUW5ubtq2bZs+/vhjNWjQIE2KpsGDB6tq1aoqXLiwrl69qgULFmjt2rV2u1khfQkLC9OBAwe0evVq7dy5kwt8aYC/HSBzeqgLp/DwcB09etT6+4kTJ7Rnzx7lzJlTpUuX1vPPP69u3brpk08+UdWqVRUSEqL169erYsWKatWqlXW9WbNmKX/+/MmO0AcAjvLz89PixYs1duxY3bx5U/nz51ePHj00duzYNNl/bGysRowYoQsXLshisahcuXKaP3++XnjhhTTZP1LHrl271LhxY+XKlUsjR4609qyA8/C3A2ROD3VXvfjm63t1795dc+bMUXR0tMaOHat58+bp7NmzypUrl+rUqaPRo0dbb/yOi4tTUFCQ9WZTAAAAAJnPQ104AQAAAEBK8BwnAAAAALCDwgkAAAAA7HjoBoeIi4vTuXPn5OfnZ/MkdgAAAAAPF2OMbty4oQIFCth9QPVDVzidO3dOhQsXdnUYAAAAANKJ06dPq1ChQsku89AVTn5+fpLuJMff39/F0QAAAABwlbCwMBUuXNhaIyTnoSuc4rvn+fv7UzgBAAAASNEtPAwOAQAAAAB2UDgBAAAAgB0UTgAAAABgx0N3jxMAAADSTlxcnKKiolwdBh5iXl5edocaTwkKJwAAADhFVFSUTpw4obi4OFeHgoeYm5ubihUrJi8vrwfaDoUTAAAAUp0xRufPn5e7u7sKFy6cKlf8AUfFxcXp3LlzOn/+vIoUKZKi0fOSQuEEAACAVBcTE6Nbt26pQIECypIli6vDwUMsd+7cOnfunGJiYuTp6Xnf26H0BwAAQKqLjY2VpAfuHgU8qPhjMP6YvF8UTgAAAHCaB+kaBaSG1DoGKZwAAAAAwA4KJwAAACCDsFgsWrFihVP3MWfOHGXPnt2p+8iIKJwAAACAe2zZskXu7u564oknHF63aNGimjRpUuoHlQKXLl3Syy+/rCJFisjb21v58uVTixYttHXrVpfEk5kwqh4AAABwj1mzZum1117TjBkzFBwcrCJFirg6pBTp0KGDoqOjNXfuXBUvXlwXL17Ub7/9pqtXr6ZpHFFRUZluYBBanAAAAJBuhd6K0rFL4dodfE3HLocr9FaU0/d58+ZNLV26VK+88oratGmjOXPmJFhm5cqVqlGjhnx8fBQYGKinn35aktSoUSOdOnVKgwYNksVisQ5MMGrUKFWpUsVmG5MmTVLRokWtv2/fvl3NmjVTYGCgAgIC1LBhQ+3atSvFcV+/fl1//vmnPvroIzVu3FhBQUGqWbOmhg0bptatW1uXmzhxoipWrKisWbOqcOHC6tevn8LDw5Pc7rFjx9SuXTvlzZtX2bJl06OPPqp169bZLFO0aFGNHTtWPXr0UEBAgPr06aMmTZro1VdftVnuypUr8vb21vr161P8utILCidkWq440QIAgNRz7vptvbpot5pO/ENPTdmipp/8odcW7da567edut8lS5aoTJkyKlOmjF544QXNnj1bxhjr/B9//FFPP/20Wrdurd27d+u3335TjRo1JEnLly9XoUKFNGbMGJ0/f17nz59P8X5v3Lih7t27a9OmTdq2bZtKlSqlVq1a6caNGylaP1u2bMqWLZtWrFihyMjIJJdzc3PT559/rgMHDmju3Llav369hg4dmuTy4eHhatWqldatW6fdu3erRYsWatu2rYKDg22W+/jjj1WhQgXt3LlTw4cPV+/evbVw4UKbWBYsWKACBQqocePGKXpN6Qld9ZApnbt+W299t0+bjoRYpzUoFagPO1RSgey+LowMAACkROitqASf5ZK08UiI3v5unyY/V1UBWZzTFWzmzJl64YUXJElPPPGEwsPD9dtvv+nxxx+XJH3wwQfq3LmzRo8ebV2ncuXKkqScOXPK3d1dfn5+ypcvn0P7bdKkic3v06dPV44cOfTHH3+oTZs2dtf38PDQnDlz1KdPH02bNk3VqlVTw4YN1blzZ1WqVMm63MCBA63/L1asmN5//3298sormjJlSqLbrVy5svX1SdLYsWP1/fffa+XKlTYtSk2aNNGQIUOsvxcuXFivvfaafvjhB3Xs2FGSNHv2bPXo0SNDDlNPixMyHXsnWlqeAABI/0LCoxJ8lsfbeCREIeHO+Tz/999/9ffff6tz586S7hQjnTp10qxZs6zL7NmzR02bNk31fV+6dEl9+/ZV6dKlFRAQoICAAIWHhydo2UlOhw4ddO7cOa1cuVItWrTQ77//rmrVqtl0N9ywYYOaNWumggULys/PT926ddOVK1d08+bNRLd58+ZNDR06VOXKlVP27NmVLVs2/fPPPwniim91i+ft7a0XXnjBmrs9e/Zo79696tGjR4pfT3pCixMynZScaJ11hQoAAKSOsIjoZOffsDP/fs2cOVMxMTEqWLCgdZoxRp6enrp27Zpy5MghX1/He6+4ubnZdPeTpOho29fQo0cPXb58WZMmTVJQUJC8vb1Vp04dRUU5ViT6+PioWbNmatasmUaMGKHevXtr5MiR6tGjh06dOqVWrVqpb9++ev/995UzZ079+eef6tWrV4J44r355pv65ZdfNGHCBJUsWVK+vr565plnEsSVNWvWBOv27t1bVapU0ZkzZzRr1iw1bdpUQUFBDr2e9IIWJ2Q6rjrRAgCA1OPv45nsfD878+9HTEyM5s2bp08++UR79uyx/uzdu1dBQUFasGCBJKlSpUr67bffktyOl5eXYmNjbablzp1bFy5csCme9uzZY7PMpk2bNGDAALVq1Urly5eXt7e3QkISvxjsiHLlyllbk3bs2KGYmBh98sknql27tkqXLq1z584lu/6mTZvUo0cPPfXUU6pYsaLy5cunkydPpmjfFStWVI0aNfT1119r4cKF6tmz54O+HJehcEKm44oTLQAASF2B2bzUoFRgovMalApUYLbU7z2yevVqXbt2Tb169VKFChVsfp555hnNnDlTkjRy5EgtWrRII0eO1OHDh7V//36NHz/eup2iRYtq48aNOnv2rLXwadSokS5fvqzx48fr2LFj+vLLL/XTTz/Z7L9kyZKaP3++Dh8+rL/++kvPP/+8Q61bV65cUZMmTfTNN99o3759OnHihJYtW6bx48erXbt2kqQSJUooJiZGkydP1vHjxzV//nxNmzYt2e2WLFlSy5cvtxaRXbp0UVxcXIrj6t27tz788EPFxsbqqaeeSvF66Q2FEzIdV5xoAQBA6grI4qUPO1RK8JneoFSgPupQySnd7mfOnKnHH39cAQEBCeZ16NBBe/bs0a5du9SoUSMtW7ZMK1euVJUqVdSkSRP99ddf1mXHjBmjkydPqkSJEsqdO7ckqWzZspoyZYq+/PJLVa5cWX///bfNQArSnWdHXbt2TVWrVlXXrl01YMAA5cmTJ8XxZ8uWTbVq1dKnn36qBg0aqEKFCho+fLj69OmjL774QpJUpUoVTZw4UR999JEqVKigBQsWaNy4cclu99NPP1WOHDlUt25dtW3bVi1atFC1atVSHNdzzz0nDw8PdenSRT4+PileL72xmHs7W2ZyYWFhCggIUGhoqPz9/V0dDpzk3PXbevu7fdp4z6h6H3WopPyMqgcAgNNFREToxIkTKlas2AN9WQ69FaWQ8CjdiIiWn4+nArN5ca9yBnP69GkVLVpU27dvd6jgSi3JHYuO1AYMDoFMqUB2X01+rionWgAAMriALHx+Z1TR0dE6f/683n77bdWuXdslRVNqonBCpsWJFgAAwHU2b96sxo0bq3Tp0vr2229dHc4Do3ACAAAAkOoaNWqUYAj2jIzBIQAAAADADgonAAAAALCDwgkAAAAA7KBwAgAAAAA7KJwAAAAAwA4KJwAAAACwg8IJAAAAcIFRo0apSpUq1t979Oih9u3bp3kcJ0+elMVi0Z49e5y6n3tfb0ZD4QQAAAD8fz169JDFYpHFYpGnp6eKFy+uIUOG6ObNm07f92effaY5c+akaNm0KnbiHT9+XM8995wKFCggHx8fFSpUSO3atdN///2XJvtPD3gALgAAAHCXJ554QrNnz1Z0dLQ2bdqk3r176+bNm5o6dWqCZaOjo+Xp6Zkq+w0ICEiV7aS2qKgoNWvWTI888oiWL1+u/Pnz68yZM1qzZo1CQ0PTNJbUzLejaHECAAAA7uLt7a18+fKpcOHC6tKli55//nmtWLFC0v91N5s1a5aKFy8ub29vGWMUGhqql156SXny5JG/v7+aNGmivXv32mz3ww8/VN68eeXn56devXopIiLCZv69XfXi4uL00UcfqWTJkvL29laRIkX0wQcfSJKKFSsmSapataosFosaNWpkXW/27NkqW7asfHx89Mgjj2jKlCk2+/n7779VtWpV+fj4qEaNGtq9e3ey+Th06JCOHz+uKVOmqHbt2goKClK9evX0wQcf6NFHH7Uu99Zbb6l06dLKkiWLihcvruHDhys6OjrJ7W7fvl3NmjVTYGCgAgIC1LBhQ+3atctmGYvFomnTpqldu3bKmjWrxo4dq5IlS2rChAk2yx04cEBubm46duxYsq/lQVA4AQAAAMnw9fW1KQCOHj2qpUuX6rvvvrN2lWvdurUuXLigNWvWaOfOnapWrZqaNm2qq1evSpKWLl2qkSNH6oMPPtCOHTuUP3/+BAXNvYYNG6aPPvpIw4cP16FDh7Rw4ULlzZtX0p3iR5LWrVun8+fPa/ny5ZKkr7/+Wu+++64++OADHT58WP/73/80fPhwzZ07V5J08+ZNtWnTRmXKlNHOnTs1atQoDRkyJNk4cufOLTc3N3377beKjY1Ncjk/Pz/NmTNHhw4d0meffaavv/5an376aZLL37hxQ927d9emTZu0bds2lSpVSq1atdKNGzdslhs5cqTatWun/fv3q2fPnurZs6dmz55ts8ysWbNUv359lShRItnX8kDMQyY0NNRIMqGhoa4OBQAAINO6ffu2OXTokLl9+/b/Taxe3ZiCBdP+p3r1FMfdvXt3065dO+vvf/31l8mVK5fp2LGjMcaYkSNHGk9PT3Pp0iXrMr/99pvx9/c3ERERNtsqUaKEmT59ujHGmDp16pi+ffvazK9Vq5apXLlyovsOCwsz3t7e5uuvv040zhMnThhJZvfu3TbTCxcubBYuXGgz7f333zd16tQxxhgzffp0kzNnTnPz5k3r/KlTpya6rbt98cUXJkuWLMbPz880btzYjBkzxhw7dizJ5Y0xZvz48ab6XbkfOXKkzeu9V0xMjPHz8zOrVq2yTpNkBg4caLPcuXPnjLu7u/nrr7+MMcZERUWZ3Llzmzlz5iS63USPxf/PkdqAe5wAAACQNi5ckM6edXUUdq1evVrZsmVTTEyMoqOj1a5dO02ePNk6PygoSLlz57b+vnPnToWHhytXrlw227l9+7a169jhw4fVt29fm/l16tTRhg0bEo3h8OHDioyMVNOmTVMc9+XLl3X69Gn16tVLffr0sU6PiYmx3j91+PBhVa5cWVmyZLGJw57+/furW7du2rBhg/766y8tW7ZM//vf/7Ry5Uo1a9ZMkvTtt99q0qRJOnr0qMLDwxUTEyN/f/8kt3np0iWNGDFC69ev18WLFxUbG6tbt24pODjYZrkaNWrY/J4/f361bt1as2bNUs2aNbV69WpFRETo2WeftZ+kB0DhBAAAgLSRL1+G2G/jxo01depUeXp6qkCBAgkGI8iaNavN73FxccqfP79+//33BNvKnj27o9FKutM90FFxcXGS7nTXq1Wrls08d3d3SdKdRpz74+fnpyeffFJPPvmkxo4dqxYtWmjs2LFq1qyZtm3bps6dO2v06NFq0aKFAgICtHjxYn3yySdJbq9Hjx66fPmyJk2apKCgIHl7e6tOnTqKioqyWe7efEtS79691bVrV3366aeaPXu2OnXqZFMMOgOFEwAAANLGjh2ujiBFsmbNqpIlS6Z4+WrVqunChQvy8PBQ0aJFE12mbNmy2rZtm7p162adtm3btiS3WapUKfn6+uq3335T7969E8z38vKSJJt7jvLmzauCBQvq+PHjev755xPdbrly5TR//nzdvn3bWpwlF0dSLBaLHnnkEW3ZskWStHnzZgUFBendd9+1LnPq1Klkt7Fp0yZNmTJFrVq1kiSdPn1aISEhKdp/q1atlDVrVk2dOlU//fSTNm7c6PBrcBSDQwAAAAAP4PHHH1edOnXUvn17/fLLLzp58qS2bNmi9957Tzv+f7H4+uuva9asWZo1a5b+++8/jRw5UgcPHkxymz4+Pnrrrbc0dOhQzZs3T8eOHdO2bds0c+ZMSVKePHnk6+urn3/+WRcvXrQOCz5q1CiNGzdOn332mf777z/t379fs2fP1sSJEyVJXbp0kZubm3r16qVDhw5pzZo1CUaou9eePXvUrl07ffvttzp06JCOHj2qmTNnatasWWrXrp0kqWTJkgoODtbixYt17Ngxff755/r++++T3W7JkiU1f/58HT58WH/99Zeef/75FLe0ubu7q0ePHho2bJhKliyZou6GD4rCCQAAAHgAFotFa9asUYMGDdSzZ0+VLl1anTt31smTJ62j4HXq1EkjRozQW2+9perVq+vUqVN65ZVXkt3u8OHD9cYbb2jEiBEqW7asOnXqpEuXLkmSPDw89Pnnn2v69OkqUKCAtYDp3bu3ZsyYoTlz5qhixYpq2LCh5syZYx2+PFu2bFq1apUOHTqkqlWr6t1339VHH32UbByFChVS0aJFNXr0aNWqVUvVqlXTZ599ptGjR1tbmNq1a6dBgwbp1VdfVZUqVbRlyxYNHz482e3OmjVL165dU9WqVdW1a1cNGDBAefLksZ/w/69Xr16KiopSz549U7zOg7CYB+nomAGFhYUpICBAoaGhyd6sBgAAgPsXERGhEydOqFixYvLx8XF1OMiENm/erEaNGunMmTPWAjUxyR2LjtQG3OMEAAAAIMOIjIzU6dOnNXz4cHXs2DHZoik10VUPAAAAQIaxaNEilSlTRqGhoRo/fnya7delhdPGjRvVtm1bFShQQBaLRStWrLC7zh9//KHq1avLx8dHxYsX17Rp05wfKAAAAIB0oUePHoqNjdXOnTtVsGDBNNuvSwunmzdvqnLlyvriiy9StPyJEyfUqlUr1a9fX7t379Y777yjAQMG6LvvvnNypAAAAAAeZi69x6lly5Zq2bJlipefNm2aihQpokmTJkm6Mx7+jh07NGHCBHXo0MFJUQIAAOB+PWTjkCEdSq1jMEPd47R161Y1b97cZlqLFi20Y8cORUdHJ7pOZGSkwsLCbH4AAADgXO7u7pKkqKgoF0eCh138MRh/TN6vDDWq3oULFxKMmpE3b17FxMQoJCRE+fPnT7DOuHHjNHr06LQKEQAAALrznKEsWbLo8uXL8vT0lJtbhrpej0wiLi5Oly9fVpYsWeTh8WClT4YqnKQ7Dxi7W3zT273T4w0bNkyDBw+2/h4WFqbChQs7L0AAAADIYrEof/78OnHihE6dOuXqcPAQc3NzU5EiRZKsF1IqQxVO+fLl04ULF2ymXbp0SR4eHsqVK1ei63h7e8vb2zstwgMAAMBdvLy8VKpUKbrrwaW8vLxSpcUzQxVOderU0apVq2ym/frrr6pRo4Y8PT1dFBUAAACS4ubmJh8fH1eHATwwl3Y2DQ8P1549e7Rnzx5Jd4Yb37Nnj4KDgyXd6WbXrVs36/J9+/bVqVOnNHjwYB0+fFizZs3SzJkzNWTIEFeEDwAAAOAh4dIWpx07dqhx48bW3+PvRerevbvmzJmj8+fPW4soSSpWrJjWrFmjQYMG6csvv1SBAgX0+eefMxQ5AAAAAKeymIdscP2wsDAFBAQoNDRU/v7+rg4HAAAAgIs4UhswLiQAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdLi+cpkyZomLFisnHx0fVq1fXpk2bkl1+wYIFqly5srJkyaL8+fPrxRdf1JUrV9IoWgAAAAAPI5cWTkuWLNHAgQP17rvvavfu3apfv75atmyp4ODgRJf/888/1a1bN/Xq1UsHDx7UsmXLtH37dvXu3TuNIwcAAADwMHFp4TRx4kT16tVLvXv3VtmyZTVp0iQVLlxYU6dOTXT5bdu2qWjRohowYICKFSumxx57TC+//LJ27NiRxpEDAAAAeJi4rHCKiorSzp071bx5c5vpzZs315YtWxJdp27dujpz5ozWrFkjY4wuXryob7/9Vq1bt05yP5GRkQoLC7P5AQAAAABHuKxwCgkJUWxsrPLmzWszPW/evLpw4UKi69StW1cLFixQp06d5OXlpXz58il79uyaPHlykvsZN26cAgICrD+FCxdO1dcBAAAAIPNz+eAQFovF5ndjTIJp8Q4dOqQBAwZoxIgR2rlzp37++WedOHFCffv2TXL7w4YNU2hoqPXn9OnTqRo/AAAAgMzPw1U7DgwMlLu7e4LWpUuXLiVohYo3btw41atXT2+++aYkqVKlSsqaNavq16+vsWPHKn/+/AnW8fb2lre3d+q/AAAAAAAPDZe1OHl5eal69epau3atzfS1a9eqbt26ia5z69YtubnZhuzu7i7pTksVAAAAADiDS7vqDR48WDNmzNCsWbN0+PBhDRo0SMHBwdaud8OGDVO3bt2sy7dt21bLly/X1KlTdfz4cW3evFkDBgxQzZo1VaBAAVe9DAAAAACZnMu66klSp06ddOXKFY0ZM0bnz59XhQoVtGbNGgUFBUmSzp8/b/NMpx49eujGjRv64osv9MYbbyh79uxq0qSJPvroI1e9BAAAAAAPAYt5yPq4hYWFKSAgQKGhofL393d1OAAAAABcxJHawOWj6gEAAABAekfhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdDhdOjRo10rx583T79m1nxAMAAAAA6Y7DhVP16tU1dOhQ5cuXT3369NG2bducERcAAAAApBsOF06ffPKJzp49q3nz5uny5ctq0KCBypUrpwkTJujixYvOiBEAAAAAXOq+7nFyd3dXu3bttGLFCp09e1ZdunTR8OHDVbhwYbVv317r169P7TgBAAAAwGUeaHCIv//+WyNGjNCECROUJ08eDRs2THny5FHbtm01ZMiQ1IoRAAAAAFzKw9EVLl26pPnz52v27Nk6cuSI2rZtq8WLF6tFixayWCySpI4dO6p9+/aaMGFCqgcMAAAAAGnN4cKpUKFCKlGihHr27KkePXood+7cCZapWbOmHn300VQJEAAAAABczaHCyRijdevWqUaNGsqSJUuSy/n7+2vDhg0PHBwAAAAApAcO3eNkjNHjjz+us2fPOiseAAAAAEh3HCqc3NzcVKpUKV25csVZ8QAAAABAuuPwqHrjx4/Xm2++qQMHDjgjHgAAAABIdyzGGOPICjly5NCtW7cUExMjLy8v+fr62sy/evVqqgaY2sLCwhQQEKDQ0FD5+/u7OhwAAAAALuJIbeDwqHqTJk2637gAAAAAIENyuHDq3r27M+IAAAAAgHTL4cLpbrdv31Z0dLTNNLq/AQAAAMhsHB4c4ubNm3r11VeVJ08eZcuWTTly5LD5AQAAAIDMxuHCaejQoVq/fr2mTJkib29vzZgxQ6NHj1aBAgU0b948Z8QIAAAAAC7lcFe9VatWad68eWrUqJF69uyp+vXrq2TJkgoKCtKCBQv0/PPPOyNOAAAAAHAZh1ucrl69qmLFikm6cz9T/PDjjz32mDZu3Ji60QEAAABAOuBw4VS8eHGdPHlSklSuXDktXbpU0p2WqOzZs6dmbAAAAACQLjhcOL344ovau3evJGnYsGHWe50GDRqkN998M9UDBAAAAABXsxhjzINsIDg4WDt27FCJEiVUuXLl1IrLaRx5OjAAAACAzMuR2uCBnuMkSUWKFFGRIkUedDMAAAAAkG6lqHD6/PPPU7zBAQMG3HcwAAAAAJAepairXvwoenY3ZrHo+PHjDgUwZcoUffzxxzp//rzKly+vSZMmqX79+kkuHxkZqTFjxuibb77RhQsXVKhQIb377rvq2bNnivZHVz0AAAAAkhO66p04cSJVArvXkiVLNHDgQE2ZMkX16tXT9OnT1bJlSx06dCjJ7n8dO3bUxYsXNXPmTJUsWVKXLl1STEyMU+IDAAAAACkVBod4ELVq1VK1atU0depU67SyZcuqffv2GjduXILlf/75Z3Xu3FnHjx9Xzpw572uftDgBAAAAkNJgcIgzZ85o5cqVCg4OVlRUlM28iRMnpmgbUVFR2rlzp95++22b6c2bN9eWLVsSXWflypWqUaOGxo8fr/nz5ytr1qx68skn9f7778vX1zfRdSIjIxUZGWn9PSwsLEXxAQAAAEA8hwun3377TU8++aSKFSumf//9VxUqVNDJkydljFG1atVSvJ2QkBDFxsYqb968NtPz5s2rCxcuJLrO8ePH9eeff8rHx0fff/+9QkJC1K9fP129elWzZs1KdJ1x48Zp9OjRKX+BAAAAAHAPhx+AO2zYML3xxhs6cOCAfHx89N133+n06dNq2LChnn32WYcDsFgsNr8bYxJMixcXFyeLxaIFCxaoZs2aatWqlSZOnKg5c+bo9u3bScYbGhpq/Tl9+rTDMQIAAAB4uDlcOB0+fFjdu3eXJHl4eOj27dvKli2bxowZo48++ijF2wkMDJS7u3uC1qVLly4laIWKlz9/fhUsWFABAQHWaWXLlpUxRmfOnEl0HW9vb/n7+9v8AAAAAIAjHC6csmbNar1nqECBAjp27Jh1XkhISIq34+XlperVq2vt2rU209euXau6desmuk69evV07tw5hYeHW6f9999/cnNzU6FChRx5GQAAAACQYg4XTrVr19bmzZslSa1bt9Ybb7yhDz74QD179lTt2rUd2tbgwYM1Y8YMzZo1S4cPH9agQYMUHBysvn37SrrTza5bt27W5bt06aJcuXLpxRdf1KFDh7Rx40a9+eab6tmzZ5KDQwAAAADAg3J4cIiJEydaW3xGjRql8PBwLVmyRCVLltSnn37q0LY6deqkK1euaMyYMTp//rwqVKigNWvWKCgoSJJ0/vx5BQcHW5fPli2b1q5dq9dee001atRQrly51LFjR40dO9bRlwEAAAAAKebS5zi5As9xAgAAACClwXOc4kVERGjJkiW6deuWmjVrppIlSz7I5gAAAAAgXUpx4fTmm28qKipKn332maQ7D7CtU6eODh48qCxZsujNN9/U2rVrVadOHacFCwAAAACukOLBIX766Sc1bdrU+vuCBQt06tQpHTlyRNeuXdOzzz7LvUYAAAAAMqUUF07BwcEqV66c9fdff/1VzzzzjIKCgmSxWPT6669r9+7dTgkSAAAAAFwpxYWTm5ub7h5HYtu2bTbDj2fPnl3Xrl1L3egAAAAAIB1IceH0yCOPaNWqVZKkgwcPKjg4WI0bN7bOP3XqlPLmzZv6EQIAAACAizk0OMRzzz2nH3/8UQcPHlSrVq1UrFgx6/w1a9aoZs2aTgkSAAAAAFwpxS1OHTp00Jo1a1SpUiUNGjRIS5YssZmfJUsW9evXL9UDBAAAAABX4wG4AAAAAB5KjtQGKW5xAgAAAICHFYUTAAAAANhB4QQAAAAAdlA4AQAAAIAd91U4xcTEaN26dZo+fbpu3LghSTp37pzCw8NTNTgAAAAASA9S/ByneKdOndITTzyh4OBgRUZGqlmzZvLz89P48eMVERGhadOmOSNOAAAAAHAZh1ucXn/9ddWoUUPXrl2Tr6+vdfpTTz2l3377LVWDAwAAAID0wOEWpz///FObN2+Wl5eXzfSgoCCdPXs21QIDAAAAgPTC4RanuLg4xcbGJph+5swZ+fn5pUpQAAAAAJCeOFw4NWvWTJMmTbL+brFYFB4erpEjR6pVq1apGRsAAAAApAsWY4xxZIVz586pcePGcnd315EjR1SjRg0dOXJEgYGB2rhxo/LkyeOsWFNFWFiYAgICFBoaKn9/f1eHAwAAAMBFHKkNHL7HqUCBAtqzZ48WLVqkXbt2KS4uTr169dLzzz9vM1gEAAAAAGQWDrc4ZXS0OAEAAACQnNzitHLlykSnWywW+fj4qGTJkipWrJijmwUAAACAdMvhwql9+/ayWCy6t6EqfprFYtFjjz2mFStWKEeOHKkWKAAAAAC4isOj6q1du1aPPvqo1q5dq9DQUIWGhmrt2rWqWbOmVq9erY0bN+rKlSsaMmSIM+IFAAAAgDTncIvT66+/rq+++kp169a1TmvatKl8fHz00ksv6eDBg5o0aZJ69uyZqoECAAAAgKs43OJ07NixRG+c8vf31/HjxyVJpUqVUkhIyINHBwAAAADpgMOFU/Xq1fXmm2/q8uXL1mmXL1/W0KFD9eijj0qSjhw5okKFCqVelAAAAADgQg531Zs5c6batWunQoUKqXDhwrJYLAoODlbx4sX1ww8/SJLCw8M1fPjwVA8WAAAAAFzhvp7jZIzRL7/8ov/++0/GGD3yyCNq1qyZ3NwcbsBKczzHCQAAAIDkWG3AA3ABAAAAPJSc+gBcSbp586b++OMPBQcHKyoqymbegAED7meTAAAAAJBuOVw47d69W61atdKtW7d08+ZN5cyZUyEhIcqSJYvy5MlD4QQAAAAg03H4pqRBgwapbdu2unr1qnx9fbVt2zadOnVK1atX14QJE5wRIwAAAAC4lMOF0549e/TGG2/I3d1d7u7uioyMVOHChTV+/Hi98847zogRAAAAAFzK4cLJ09NTFotFkpQ3b14FBwdLkgICAqz/BwAAAIDMxOF7nKpWraodO3aodOnSaty4sUaMGKGQkBDNnz9fFStWdEaMAAAAAOBSDrc4/e9//1P+/PklSe+//75y5cqlV155RZcuXdJXX32V6gECAAAAgKs51OJkjFHu3LlVvnx5SVLu3Lm1Zs0apwQGAAAAAOmFQy1OxhiVKlVKZ86ccVY8AAAAAJDuOFQ4ubm5qVSpUrpy5Yqz4gEAAACAdMfhe5zGjx+vN998UwcOHHBGPAAAAACQ7liMMcaRFXLkyKFbt24pJiZGXl5e8vX1tZl/9erVVA0wtYWFhSkgIEChoaHy9/d3dTgAAAAAXMSR2sDh4cgnTZp0v3EBAAAAQIbkcOHUvXt3Z8QBAAAAAOmWw/c4SdKxY8f03nvv6bnnntOlS5ckST///LMOHjyYqsEBAAAAQHrgcOH0xx9/qGLFivrrr7+0fPlyhYeHS5L27dunkSNHpnqAAAAAAOBqDhdOb7/9tsaOHau1a9fKy8vLOr1x48baunVrqgYHAAAAAOmBw4XT/v379dRTTyWYnjt3bp7vBAAAACBTcrhwyp49u86fP59g+u7du1WwYMFUCQoAAAAA0hOHC6cuXbrorbfe0oULF2SxWBQXF6fNmzdryJAh6tatmzNiBAAAAACXcrhw+uCDD1SkSBEVLFhQ4eHhKleunBo0aKC6devqvffec0aMAAAAAOBSFmOMuZ8Vjx07pt27dysuLk5Vq1ZVqVKlUjs2p3Dk6cAAAAAAMi9HagOHH4D7xx9/qGHDhipRooRKlChx30ECAAAAQEbhcFe9Zs2aqUiRInr77bd14MABZ8QEAAAAAOmKw4XTuXPnNHToUG3atEmVKlVSpUqVNH78eJ05c8YZ8QEAAACAy933PU6SdOLECS1cuFCLFi3SP//8owYNGmj9+vWpGV+q4x4nAAAAAJJjtcEDFU6SFBsbq59++knDhw/Xvn37FBsb+yCbczoKJwAAAACSY7WBw1314m3evFn9+vVT/vz51aVLF5UvX16rV6++380BAAAAQLrl8Kh677zzjhYtWqRz587p8ccf16RJk9S+fXtlyZLFGfEBAAAAgMs5XDj9/vvvGjJkiDp16qTAwECbeXv27FGVKlVSKzYAAAAASBccLpy2bNli83toaKgWLFigGTNmaO/even+HicAAAAAcNR93+O0fv16vfDCC8qfP78mT56sVq1aaceOHakZGwAAAACkCw61OJ05c0Zz5szRrFmzdPPmTXXs2FHR0dH67rvvVK5cOWfFCAAAAAAuleIWp1atWqlcuXI6dOiQJk+erHPnzmny5MnOjA0AAAAA0oUUtzj9+uuvGjBggF555RWVKlXKmTEBAAAAQLqS4hanTZs26caNG6pRo4Zq1aqlL774QpcvX37gAKZMmaJixYrJx8dH1atX16ZNm1K03ubNm+Xh4cEofgAAAACcLsWFU506dfT111/r/Pnzevnll7V48WIVLFhQcXFxWrt2rW7cuOHwzpcsWaKBAwfq3Xff1e7du1W/fn21bNlSwcHBya4XGhqqbt26qWnTpg7vEwAAAAAcZTHGmPtd+d9//9XMmTM1f/58Xb9+Xc2aNdPKlStTvH6tWrVUrVo1TZ061TqtbNmyat++vcaNG5fkep07d1apUqXk7u6uFStWaM+ePSneZ1hYmAICAhQaGip/f/8UrwcAAAAgc3GkNrjv4cglqUyZMho/frzOnDmjRYsWObRuVFSUdu7cqebNm9tMb968eYJnRd1t9uzZOnbsmEaOHHlfMQMAAACAoxx+AG5i3N3d1b59e7Vv3z7F64SEhCg2NlZ58+a1mZ43b15duHAh0XWOHDmit99+W5s2bZKHR8pCj4yMVGRkpPX3sLCwFMcIAAAAANIDtjilBovFYvO7MSbBNEmKjY1Vly5dNHr0aJUuXTrF2x83bpwCAgKsP4ULF37gmAEAAAA8XFxWOAUGBsrd3T1B69KlS5cStEJJ0o0bN7Rjxw69+uqr8vDwkIeHh8aMGaO9e/fKw8ND69evT3Q/w4YNU2hoqPXn9OnTTnk9AAAAADKvVOmqdz+8vLxUvXp1rV27Vk899ZR1+tq1a9WuXbsEy/v7+2v//v0206ZMmaL169fr22+/VbFixRLdj7e3t7y9vVM3eAAAAAAPFZcVTpI0ePBgde3aVTVq1FCdOnX01VdfKTg4WH379pV0p7Xo7Nmzmjdvntzc3FShQgWb9fPkySMfH58E0wEAAAAgNbm0cOrUqZOuXLmiMWPG6Pz586pQoYLWrFmjoKAgSdL58+ftPtMJAAAAAJztgZ7jlBHxHCcAAAAAUho+xwkAAAAAHgYUTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADY4fLCacqUKSpWrJh8fHxUvXp1bdq0Kcllly9frmbNmil37tzy9/dXnTp19Msvv6RhtAAAAAAeRi4tnJYsWaKBAwfq3Xff1e7du1W/fn21bNlSwcHBiS6/ceNGNWvWTGvWrNHOnTvVuHFjtW3bVrt3707jyAEAAAA8TCzGGOOqndeqVUvVqlXT1KlTrdPKli2r9u3ba9y4cSnaRvny5dWpUyeNGDEiRcuHhYUpICBAoaGh8vf3v6+4AQAAAGR8jtQGLmtxioqK0s6dO9W8eXOb6c2bN9eWLVtStI24uDjduHFDOXPmdEaIAAAAACBJ8nDVjkNCQhQbG6u8efPaTM+bN68uXLiQom188sknunnzpjp27JjkMpGRkYqMjLT+HhYWdn8BAwAAAHhouXxwCIvFYvO7MSbBtMQsWrRIo0aN0pIlS5QnT54klxs3bpwCAgKsP4ULF37gmAEAAAA8XFxWOAUGBsrd3T1B69KlS5cStELda8mSJerVq5eWLl2qxx9/PNllhw0bptDQUOvP6dOnHzh2AAAAAA8XlxVOXl5eql69utauXWszfe3atapbt26S6y1atEg9evTQwoUL1bp1a7v78fb2lr+/v80PAAAAADjCZfc4SdLgwYPVtWtX1ahRQ3Xq1NFXX32l4OBg9e3bV9Kd1qKzZ89q3rx5ku4UTd26ddNnn32m2rVrW1urfH19FRAQ4LLXAQAAACBzc2nh1KlTJ125ckVjxozR+fPnVaFCBa1Zs0ZBQUGSpPPnz9s802n69OmKiYlR//791b9/f+v07t27a86cOWkdPgAAAICHhEuf4+QKPMcJAAAAgJRBnuMEAAAAABkFhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYIeHqwN4mIXeilJIeJTCIqLl7+upwKxeCsji5eqwAAAAANyDwslFzl2/rbe+26dNR0Ks0xqUCtSHHSqpQHZfF0YGAAAA4F501XOB0FtRCYomSdp4JERvf7dPobeiXBQZAAAAgMRQOLlASHhUgqIp3sYjIQoJp3ACAAAA0hMKJxcIi4hOdv4NO/MBAAAApC0KJxfw9/FMdr6fnfkAAAAA0haFkwsEZvNSg1KBic5rUCpQgdkYWQ8AAABITyicXCAgi5c+7FApQfHUoFSgPupQiSHJAQAAgHSG4chdpEB2X01+rqpCwqN0IyJafj6eCszGc5wAAACA9IjCyYUCslAoAQAAABkBXfUAAAAAwA4KJwAAAACwg8IJAAAAAOygcAIAAAAAOyicAAAAAMAOCicAAAAAsIPCCQAAAADsoHACAAAAADsonAAAAADADg9XBwAgYwq9FaWQ8CiFRUTL39dTgVm9FJDFy9VhAQAAOAWFEwCHnbt+W299t0+bjoRYpzUoFagPO1RSgey+LowMAADAOeiqB8AhobeiEhRNkrTxSIje/m6fQm9FuSgyAAAA56FwAuCQkPCoBEVTvI1HQhQSTuEEAAAyHwonAA4Ji4hOdv4NO/MBAAAyIu5xAuAQfx/PZOf72ZmPlGHwDQAA0hcKJwAOCczmpQalArUxke56DUoFKjAbX+4fFINvAACQ/tBVD4BDArJ46cMOldSgVKDN9AalAvVRh0q0ijwgBt8AACB9osUJgMMKZPfV5OeqKiQ8SjciouXn46nAbHQlSw0pGXyDPAMAkPYonADcl4AsFErOwOAbyAy4Rw9AZkThBADpCINvIKPjHj0AmRX3OAFAOhI/+EZiGHwD6R336AHIzCicACAdYfANZGQ8IBtAZkZXPQBIZxh8AxkV9+gByMwonAAgHWLwDWRE3KMHIDOjqx4ApEOht6J07FK4dgdf07HL4dwbggyBe/QAZGa0OAFAOsOoZMio4u/Re/u7fdp4z/HLPXoAMjqLMca4Ooi0FBYWpoCAAIWGhsrf39/V4QAZFs9pcY7QW1F6ddHuRG+wb1AqUJOfq0qeke7Fnx+4Rw9AeudIbUCLEwCH0SLiPCkZlYwvoEjvuEcPQGbEPU4AHMJzWpyLUckAAEifaHFCpkVXMuegRcS5GJUMAID0iXucXM1icXUEAAAAgGu4uBRxpDagqx4AAAAA2EHh5ELcCwIAAABkDNzj5CLnr9/W7/9dVp5DFxQZEycfT3ddDItQo9K5lZ9RyR7I7uBremrKliTnr+hXV1WK5EjDiDKfc9dvJ/mcFo5fAACQGVE4uUDorSidunpLq/ed0+ajV6zT65XMpWKBWZXFy52b6x8AN9c7X4Hsvvr42cq6djNKYREx8vf1UI4sXsrr7+Pq0AAAAJyCwskFrt+K1uT1R2yKJknW3//XviKF0wMIzOal+qUCEx35rX6pQAVmI7cPiuc4AQCAhw2FkwvcjIrR7uDrerVJSVUtnN3aVW9X8DXN+vOEbkbFuDrEDK9/45KKMyZBi17/xiVdGFXmYO85TpOfq0rhDwAAMh0KJxe4HR2rz5+rqtmbT+iL9Uet0+uVzKXPn6uqiOhYF0aX8YWER6nnnO3q+Vgx9axXTJExcfL2cNPu09fVc852rXr1Mb7YPwCe4wQAAB5GFE4ukCurlyau/S/JrnoftK/girAyjbCIaN2KirUpSu92IyI6jSPKXMLs5I/8AgCApITeilJIeJTCIqLl7+upwKxeGeaCK4WTC0THmgRFU7zNR68oOvaheiZxqmNwCOcivwAA4H5k9HukeY6TC4RHJn8P000785G8wGxealAqMNF5DRgc4oGRXwAA4Ch790hnhOebUji5AFfsnSsgi5c+7FApwZf7+OcMZZTm4PSK/AIAAEel5B7p9I6uei4Qf8V+YyIHD1fsU0eB7L6a/FxVhYRH6UZEtPx8PBWYLeP0oU3vyK/zZeQ+4AAA3Csz3CNN4eQC8Vfs3/5un03xxBX71BWQhS+azkR+nSej9wEHAOBemaHHFYWTi3DFHhkdLSLOwXOy0gbHr3ORX+civ8iIMkOPKwonF+KKvXPxweI8tIg4T0h4lHaeupbkA7J5TtaDO3/9tn7/97Ly+HsrMiZO125F6+8TV9WodG7l5/h9YOeu39Zb3+7TpqOcH5yB8y8yqoAsXvqoQyX9/t9l5fHztn6+XQyLUOPSuTPEZxuFkwvxxd55+OB2HlpEnOtGRFSyD8jOCH3A07PQW1E6deWWVu8/Z/NYiHolc6lYYFZl8XLn+H0AobeiNGLFAVUukl096hW1KfxH/HBAnzxbmfw+AM6/yOiMpDX7zif4ftawdG7XBeUACicX4YqR84TeikpQNEl3Plje+m6fvuCD5YHQIuJcAb5e+vjXpB+QPbYdD8h+ENduRWnyhiPJPoCc4/f+XQ6PVOdaRRIt/F+sV0yXwyPJ7wNIyahk5BfplbXwT+T7WUYp/F0+HPmUKVNUrFgx+fj4qHr16tq0aVOyy//xxx+qXr26fHx8VLx4cU2bNi2NIk09mWEc+/Ts0o3IBH+U8TYdCdGlG5FpHFHmEh4Zrc+fq6rdwdfUa+4O9VuwSz3nbNfu4Gv6/LmquhlJi8iDiIyJS/YB2ZExcWkcUeZyMyo22fzejIpN44gyl5g4o9mbTyRamM7efEKxcTzg/UFkhlHJ8PDKDMORu7RwWrJkiQYOHKh3331Xu3fvVv369dWyZUsFBwcnuvyJEyfUqlUr1a9fX7t379Y777yjAQMG6LvvvkvjyB9MZjhw0rPrt5P/4Ai1Mx/J8/fxTPaLUUYYFSc9s/fFyN58JO9mZPKF0S0785E8Y5RsYUrd9GAyw6hkeHhlhsLfpYXTxIkT1atXL/Xu3Vtly5bVpEmTVLhwYU2dOjXR5adNm6YiRYpo0qRJKlu2rHr37q2ePXtqwoQJaRz5g8kMB056ltXLPdn5WezMR/IiY+20iMTSIvIg7H0xsjcfyfP3Sb6Hup+d+UjezciYB5qP5MWPSpaYjDIqGR5emaHwd1nhFBUVpZ07d6p58+Y205s3b64tW7Ykus7WrVsTLN+iRQvt2LFD0dGJFxuRkZEKCwuz+XG1zHDgpGe+nu6qVzJXovPqlcwlX08KpwcRZqfFzt58JC+rl7seS+L4faxkLrsXBpC8rF7uql8y8S+e9UsGkt8HFOCb/OeXvflIXvxzIO8tnngOJDKCzFD4u6xwCgkJUWxsrPLmzWszPW/evLpw4UKi61y4cCHR5WNiYhQSknjXt3HjxikgIMD6U7hw4dR5AQ8gMxw46VmMMXq1cckExVO9krn0auNSijX0FXkQ9gp7Cv8Hc/12lIa3KZ+geHqsZC6NaFteobfpyvsg/H09NfLJ8qp/T37rl8ylkU+Wlz9f7B9IHj9v1U/i861+qUDl8fNO44gyn/jnQP42uKFW9Kur3wY31OTnqjKUPtK9zFD4u7xPgsVisfndGJNgmr3lE5seb9iwYRo8eLD197CwMJcXT/EHztvf7bN5CFhGOnDSM3eLRRHRcWpdMb961iumyJg4eXu46WJYhCKiY+WWzPEF+wJ8PfVYyVz6M5Hueo+VzMUV5QeUxctTnb7aqo86VNJbLR9ReESssvm461JYpLp8vU1LXqrj6hAztIAsXrodFav+TUpp6F35vRkZKz+GIn9g8c9p4fPNuXgOJDKq+MI/JDxKNyKi5efjqcBsGed4dlnhFBgYKHd39wStS5cuXUrQqhQvX758iS7v4eGhXLkS79ri7e0tb+/0d4Urox846VmurF4at+awyuT3V15/H+v0c6ER2vDPJU14trILo8v4CmT31QdPVdS73++3KZ4eK5lLHzxVkeH0H1BgNi+Vy++vXnN3JJhHi3TqyJfdV75e7goJj1JsrFEWTw8VyZGF828q4fMNQHIycuHvssLJy8tL1atX19q1a/XUU09Zp69du1bt2rVLdJ06depo1apVNtN+/fVX1ahRQ56eGe8qd0Y+cNKzgCxeGt2ugt7+bp/Nc0S44pl6gnJl1fhnKiv0drT1i1GArydFUyqgRTptcP51LvILIDOyGOO6Gz6WLFmirl27atq0aapTp46++uorff311zp48KCCgoI0bNgwnT17VvPmzZN0ZzjyChUq6OWXX1afPn20detW9e3bV4sWLVKHDh1StM+wsDAFBAQoNDRU/v7+znx5cLHQW1Fc8USGxfELAIDzOVIbuPQep06dOunKlSsaM2aMzp8/rwoVKmjNmjUKCgqSJJ0/f97mmU7FihXTmjVrNGjQIH355ZcqUKCAPv/88xQXTXi4cMUTGRnHLwAA6YtLW5xcgRYnAAAAAJJjtYFLH4ALAAAAABkBhRMAAAAA2EHhBAAAAAB2UDgBAAAAgB0UTgAAAABgB4UTAAAAANhB4QQAAAAAdlA4AQAAAIAdFE4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGCHh6sDSGvGGElSWFiYiyMBAAAA4ErxNUF8jZCch65wunHjhiSpcOHCLo4EAAAAQHpw48YNBQQEJLuMxaSkvMpE4uLidO7cOfn5+clisbg6HIWFhalw4cI6ffq0/P39XR1OpkN+nYv8Ohf5dS7y61zk17nIr3ORX+dKT/k1xujGjRsqUKCA3NySv4vpoWtxcnNzU6FChVwdRgL+/v4uP3AyM/LrXOTXucivc5Ff5yK/zkV+nYv8Old6ya+9lqZ4DA4BAAAAAHZQOAEAAACAHRROLubt7a2RI0fK29vb1aFkSuTXucivc5Ff5yK/zkV+nYv8Ohf5da6Mmt+HbnAIAAAAAHAULU4AAAAAYAeFEwAAAADYQeEEAAAAAHZQOAEAAACAHRROAAAAAGAHhVMmEBcX5+oQMjXy61zkN+3cnWsGVHU+cuxc5Ne5yK9zkV/nclZ+KZwyuLi4OLm53XkbFy5cqL///lsxMTEujirzIL/ORX7Tzt25njBhgt555x1FRES4OKrMKy4uThaLRZJ07NgxF0eT+ZBf5yK/zkV+ncuZ+aVwysCMMdYvQm+//baGDBminTt36tatWy6OLHMgv85FftNWfK6HDh2qSZMmKXfu3Lpy5YqLo8qc7i5S33//fT3//PPatGmTi6PKPMivc5Ff5yK/zuXs/Hqk2paQ5uKr6Q8//FCzZs3STz/9pEqVKsnT09PFkWUO5Ne5yG/amzdvnubMmaNffvlFVatWlSRFR0crOjpaXl5e8vDgIyE1xH9ov/XWW5o7d66++uorFSpUyMVRZR7k17nIr3ORX+dydn5pccqA7r5PISoqSn///beGDRum6tWr6/z58/rpp5/05JNPavTo0frrr79cGGnGRH6di/ymnXvvHzt27JhatGihqlWr6sCBA5o8ebIqV66s2rVra9q0aYqKinJRpJnD3X3qN23apO+++07ff/+9nnzySRUoUECXLl3SmjVrdP36ddcFmYGRX+civ85Ffp0rrfLL5cUMKL6a/vbbb9W4cWP9999/8vHx0dKlS7VgwQKFhYXJ29tb3377ra5cuaIaNWrIzc3NeoUfySO/zkV+0058rgcMGKAOHTqoYMGCev/991WsWDF99913Klu2rHr27Kl///1X48ePV+fOnRUYGOjiqDOmu7uHREdHy9PTU+Hh4apTp47279+vhQsX6rvvvtPJkydVu3ZtrVixQjlz5nRx1BkH+XUu8utc5Ne50jS/BhlGbGys9f9jx441FovFXLlyxaxfv94EBQWZ/Pnzm+HDh5uNGzcaY4wZNmyYefLJJ10VboZDfp2L/KaduLg46/9/+ukn4+vra9auXWuio6PNiBEjTN26dc3kyZPNv//+a4wx5tChQ+bRRx81x48fd1XIGdrd+e7fv79p1aqVOXHihClTpowpXbq0CQwMNH369DELFiwwZ8+eNW5ubua7775zYcQZC/l1LvLrXOTXudI6v7Q4ZSDx1fT+/fvl4+OjNWvWKGfOnGrcuLF27typiIgIFSxYUJIUGxurXbt2qUSJEq4MOUMhv85FftNOfOvc4sWLtX//fn344Yd6/PHHJUmjR4/WsGHD5OPjI+nO1bnBgwcrV65cKlq0qKtCzrCMMdZ879y5U3v27NH48eMVFBSkb7/9Vj/88IMqV66sBg0ayN/fXzdv3lStWrXk5+fn4sgzBvLrXOTXucivc7kkvw9Y6CGN/frrr8ZisZhcuXJZr8xHR0db54eFhZk1a9aYNm3amAoVKljn3V2RI2nk17nIb9qJb0Xy9fU1H3/8sTHGmKioKOv8W7dumZkzZ5omTZqYKlWqWOfd3TKIlFu8eLFp3769eeGFF0xsbGyCYzYiIsJcuHDBtGnTxjz66KMmJibGRZFmTOTXucivc5Ff50rL/DI4RAZTrFgxDR48WOHh4Tp06JAkyd3d3XpT3PHjxzV9+nS5ublp165d8vDwUExMDPeHpBD5dS7ym3bKli2rN954Q+XLl9f06dN17tw5eXp6KjY2VpJ07do13bx5UyVLltT27dvl6empmJgYa8sgUi48PFw//fSTtm3bpmPHjlnvyYt/JllUVJS+/fZbPfvss7p8+bI2b94sd3d363uB5JFf5yK/zkV+nSvN8/tAJR6cKqkrv0ePHjX9+/c3np6eZtmyZQnmHz9+3Lru3VfzYYv8Ohf5TTvJtRJ9++23pk6dOqZp06bm3LlzNvNu375t/T9XOFMusRbQc+fOmUGDBpk8efKYUaNG2SwbGRlpNmzYYL788kvrMc2xnTTy61zk17nIr3O5Or8WY+4avw/pxt0jhGzcuFGRkZEyxqh58+aSpBMnTujTTz/VvHnzNGPGDD3zzDPWq/bxV+fv3gZskV/nIr9p5+48LV68WHv37pW/v79q1qyppk2byhijpUuXaurUqfLy8tK8efOUL18+m77hSLm78x0eHi5fX1/FxsbKy8tL586d07hx47R9+3Y9/fTTGjp0qHW9u/MdGxsrd3d3l8Sf3pFf5yK/zkV+nStd5Pe+Sy44zd3V9LBhw0zJkiVN8eLFTZkyZUzXrl2t844dO2YGDBhgcuTIYebNm+eKUDMk8utc5Nc1hg4dagoVKmTatm1rnn76aVOkSBGzaNEi6/wlS5ZY72cKCQlxYaQZ190texMmTDBt2rQxtWvXNiNGjDAnTpwwxhgTHBxs+vfvb2rXrm3Gjx/vokgzJvLrXOTXucivc6WX/FI4pWPjxo0zefLkMVu2bDGRkZFmzJgxxmKxmA4dOliXOX78uOnWrZtp1qyZCyPNmMivc5HftDNt2jQTFBRktm3bZowxZsaMGcZisRhfX1/z9ddfW5ebPXu26d+/PwNAPKBhw4aZwMBA88UXX5hRo0aZmjVrmubNm5sjR44YY+58eL/22mumePHi5ptvvnFxtBkP+XUu8utc5Ne5XJ1fCqd06ujRo+app54yq1evNsYYs3r1ahMQEGAGDhxocubMaTp27Ghd9uzZs3wRchD5dS7ym3Zu3bplBg4caD7//HNjjDGrVq0y/v7+5n//+595+eWXjbe3t03LUzzuabo/y5YtM4888ojZvn27McaYNWvWGG9vb1O2bFlTv359c+zYMWOMMSdOnDCffPIJeXYQ+XUu8utc5Ne50kN+KZzSqdjYWDNz5kwTEhJitmzZYgoXLmymTp1qjDFm8ODBxmKxmMaNGydYBylDfp2L/DpPYjfGnjx50vz333/m6NGjpnTp0mbSpEnGmDtFlMViMRaLxSxfvjytQ82UfvnlFzNw4EBjjDErV640uXLlMlOmTDGLFy82OXPmNI8//rg5fPiwzTp8OUo58utc5Ne5yK9zpYf8UjilA0l9YYyfPnr0aNO5c2cTHh5ujLnTt7Njx46mQ4cOfNlMAfLrXOQ37dydr1u3bpnY2FgTGRlpnfb999+bmjVrmmvXrhljjNm4caN54YUXzPz58xml6T4k9fyw8+fPm/DwcFO/fn3zwQcfGGPuvB+VKlUy+fLlMy+//HKy6+MO8utc5Ne5yK9zpdf8ejzQ8BZ4YHePELJs2TIdOnRIHh4eql27tnVErAMHDujs2bPKmjWrbt++rT///FPNmjVTv379EmwDtsivc5HftHN3niZOnKitW7fq4sWLevTRR/Xaa6+paNGikqQ9e/Zo69atqlu3rsaPH68CBQro+eeftz7XwsOD035K3J3vM2fO6MaNG8qfP7+yZ8+ufPny6fDhwzp27Jhq1qwpSQoJCVHZsmU1atQotWvXTpIYtTAZ5Ne5yK9zkV/nStf5dUo5Boe9+eabpkiRIubpp5823bt3NxaLxcydO9cYY8y6detM1qxZTdWqVU2lSpVMhQoVuHrsIPLrXOQ37bz11lsmMDDQTJ8+3Xz22WembNmypkqVKubmzZvmzJkzpnv37sbDw8OULFnSVKhQwURFRRljuLrpiLtz9d5775latWqZbNmymXbt2pk333zTGGPMpUuXzGOPPWY6depkfv75Z9OiRQvTsmVLa6sgralJI7/ORX6di/w6V3rPL4VTOrBixQpTsGBB64hYixcvNhaLxcycOdMYY0xERIRZt26d6devnxkxYoT1Syf9YlOG/DoX+U07Bw4cMJUqVTJ//vmnMebOoBt+fn5m+vTp1mWuXr1qfv31V7N48WJrjilU788HH3xgAgMDzdq1a82ZM2fMM888Y3LkyGF27dpljLkzmmHNmjVNkSJFTKNGjaxFKl+KUob8Ohf5dS7y61zpNb8UTi4QX03H/ztp0iTz3HPPGWOM+e6770y2bNnMV199ZYwx5vr16wludDOGL0LJIb/ORX7Tzr2tRBs3bjRFixY1xtwpWLNly2YddOPGjRtmwYIF5saNGzbrUKA6Li4uzly5csU0b97cLFu2zBhjzK+//mqyZs1qZsyYYbNsaGio+e+//6wf1hzb9pFf5yK/zkV+nSu955cbC9KYuevpxZGRkZKkmJgYubu7a+nSperevbs+/vhj9enTR5K0du1aTZs2TVeuXLHZDvcpJI78Ohf5TVvxuT5w4IAkydfXV0WLFtXUqVPVtWtXTZgwQX379pUk7d+/Xz/99JOOHz9usw2eQJ8ycXFx1v9bLBZ5e3vr4sWLKleunFauXKmnn35aEyZMUK9evRQZGakZM2bo77//lr+/v0qVKiU3NzfFxcVxbCeB/DoX+XUu8utcGSq/Ti/NkKi5c+eaoUOHGmPuXKUvVKiQ8fX1NZ999pl1mRs3bpiWLVuaAQMGuCrMDIv8Ohf5TTuLFy82DRs2NMbcuZpWtWpVY7FYzLhx46zL3L5927Rs2dI89dRTdAN5QL/++qu5ePGiCQkJMZUrVzbPPPOMyZkzp5kyZYp1mSNHjpiWLVsyxPt9IL/ORX6di/w6V0bIL4WTi7z00kumevXq1t8HDRpkLBaL+fzzz822bdvM33//bZo3b26qVKlibXrk5u6UI7/ORX7Tzq5du4y7u7tZuHChMebOU9FLlSplatasaT766CMzefJk06RJE1O+fHlrrimeHBcbG2sOHDhgLBaL2bhxozHGmG+//db4+PiYp556yhhz5xgODQ01rVq1Mo0bN6YbpAPIr3ORX+civ86VkfJrMcYY57drPdzMXd2b4odYvHLliipXrqw33nhDgwYNkiS9/vrr2rRpk/bt26dHH31Ufn5++vHHH+Xp6anY2Fi63CSB/DoX+U078fmNz3n88OGDBw/W2bNnNXXqVOXMmVOXLl1Sv379FBwcrGzZsqlUqVL68ssv5eHhwZDjD6hLly4KCwvTwoUL5evrqy+//FKDBw9Wy5YtFRcXp9u3b+vq1avauXMnx/Z9IL/ORX6di/w6V0bIL4WTi0REROjNN9/U1atXNXv2bHl5eUmSgoODdfHiReXOnVtFihSRm5sbX4TuA/l1LvLrXBcuXFC+fPmsvy9cuFCDBw/WH3/8oTJlyki6U9DeunVL7u7u8vHxkSRy7YB7nx8WHR0tT09PLVq0SBMmTNCiRYtUunRpSdKmTZv07bffSpJKlCihfv36UaTaQX6di/w6F/l1rgydX5e0cz2EJk6caHr37m0OHjxoIiMjjTF3nm/j6elpfv311yTXo8tNypBf5yK/aWfx4sUmZ86c5oMPPjDbt2+3Tm/durV58sknrUOu3ouukPdn/fr1JiQkxGZa+fLlTdeuXW2m3ZtfuuGkDPl1LvLrXOTXuTJifhlVLw3cvHlTPj4+Wr9+vXr16qV27dppz549qlu3rgYPHqxZs2YpLCws0XXvrsiROPLrXOQ3bZUoUULvv/++vvnmG/Xr10/PPvusDh48qCeeeELu7u46ceKEJNtRiCSeQn8/NmzYoP79+6tChQqaOXOm/vrrL0nS6NGjdfToUe3evVvSnda9e9H9xj7y61zk17nIr3Nl1PzSVS8NRUdHa9WqVfrmm2+0Y8cO1ahRQ1evXlVUVJSWLl2qQoUKJWi+RMqRX+civ2krODhYBw4c0Pvvvy8PDw9FRkZqx44dGjNmjN577z1Xh5cpxMbG6tSpU5o7d65+/fVXXbp0Sc8++6wqV66s9957TyNHjlS3bt1cHWaGRX6di/w6F/l1rgybX5e1dT1k7m1WXLVqlfnggw9M7ty5jcViMb169XJRZBlPYl2SyK9zkd+0de8xvnLlSjN69GiTM2dOU65cOXPo0CEXRZZ53NuN9OjRo2blypWmQoUKplOnTsZisZjixYubkydPuijCjOfu45b8Ohf5dS7ym/oyy/mBwslJkrrf4N7pwcHBZujQoaZRo0bm/PnzaRFahvXbb7+Zo0ePJrsM+b1/YWFh5urVq8kuQ35TT0r6aN+7zMaNG02JEiXMt99+66ywHjr3foBfvnzZrF+/3rz88ssmZ86c1ifXc89C0v7880/rvY/35pP8pi7y61z35on8Prjg4OAk52XE/FI4pZI//vjDTJw40bzzzjtm8+bNxhj7N8bHzw8ODjZ+fn5m/vz5To8zo5oyZYrJnj272bFjR4rXIb8pt2jRItOqVSsTFBRkBgwYYI4fP253HfJ7f1avXm0OHjxojLm/D4MePXqYVq1aJTlIBGwtWbLELFmyJEXL3nthoHv37qZmzZrOCCvTmD9/vrFYLOaNN96wuyz5ddyhQ4fM7t27zd9//213WfLruAMHDpitW7faDHKU1Hc38uu4+fPnm8cff9ysX7/e7rIZJb/cjJAKZs2apc6dO+vHH3/UL7/8ogYNGmjdunV27/Vwc3NTXFycChcurBo1aujy5ctpFHHGMn36dA0YMEDTpk1T9erVU7we+U2ZefPmqU+fPnrsscfUv39/zZkzR6tXr7ZZxiRyKyT5ddyyZcvUtm1bPfbYY9q/f7/c3d0VGxubonXj34Pr168rICDAmWFmCsYY/fvvv+rcubM6d+6sb775xu468QNsxMTESJK6du2qmJgYXbhwwamxZlTTpk3Tiy++qFq1amnfvn0KCQlJdnny65gZM2aoVatWatWqldq3b69mzZrp8OHDSZ4zyK9j5syZow4dOqhr16568cUX1b9/f0lJD2pEfh0zd+5c9enTR127dlXFihVt5iX2nSLD5Ne1dVvGt3r1apM7d26zdOlSExMTY65fv25eeukl06ZNG3Pr1q0UDce8ZMkSY7FYzD///JMGEWcsCxcuNBaLxaxatcoYc6d147vvvjMTJ040v/32W4qu2JPfpB09etRUqFDBLFq0yDrtjTfeMJ988okJCQmxyW9S3U/Jb8rs3r3b1K5d2/Tt29c89dRTJn/+/Gbv3r3GmJS1PMXGxpqzZ8+arFmz2gxTjqTdunXLtGjRwvTv39+4ubmZ2bNnO7R+v379TL58+cy1a9ecEl9GNn36dOPh4WHWrVtnDh8+bCwWi815JCXIb9LWr19v/P39zbJly8zOnTvNn3/+aSpXrmxKlixpfvrpJxMdHW13G+Q3afPnzzdZsmQxixcvNnv37jWff/65qVSpkgkNDbUuY+8RD+Q3aWfOnDE1a9Y0M2bMMMYYc+HCBbNjxw6zYsUKExERkaLHZ6TX/FI4PYCwsDDTrVs3M3DgQJvp06ZNM2XKlEnxc1Vu3rxpjhw54owQM7QrV66YKlWqmMqVK5vjx4+bo0ePmipVqpgqVaqYEiVKGIvFYl599VVz9uzZZLdDfpP233//mdKlS5vffvvNOq1u3brm0UcfNQEBAaZDhw5mzpw5yW6D/KbMhg0bzIsvvmj27dtnDh48eF/FkzHGhIeHOzPMTCUiIsLUqFHDrFq1yowePdpYLBbr/WHz5s1LNpdxcXHmnXfeMX/99VdahZthLFiwwFgsFvP9999bp3Xv3t00aNDAXLp0KUXbIL/Jmz59uqlXr56JiIiwmd64cWNTvHhxs3XrVmNM8t3KyG/idu7caUqUKGHmzZtnnbZjxw7TvHlzs2bNGrN06VK7F73Jb/L++ecfU6xYMXPhwgVz6NAhU6lSJVOhQgXj6+trypYta5YvX269LzIx6Tm/FE4P6OuvvzaLFy+2mbZjxw5TvHhxExYWZvfLUHq64S092rBhg2ncuLFp3LixyZs3rxkyZIg5fvy4iYuLMz/88IPx9PQ0H374YZLrk9/kHTx40OTMmdO8+uqrZvHixaZVq1amZMmSZvXq1Wb58uWmU6dO5oknnjCnTp1KdH3y65h///3X+v+9e/ea9u3bm/z585s9e/YYY+58WERERCR7NZkH3aZM/LHZu3dv8+uvv5q4uDgzbtw4Y7FYTGBgoOnWrZu5deuWi6PMeCIjI82MGTPML7/8Yoz5v+Nxzpw5Jnfu3NbWUB5+/WBGjx5tihUrZv399u3b1v/Xrl3b1KhRwxVhZQoXL140n3zyic2IbS1btjR58uQxlSpVMoUKFTI1atSwXljhnOu4ffv2mcqVK5vTp0+bli1bmrfeesv8888/JjQ01LRt29aULl3aeq9vRssvhdMDuvdqkDF3bjYsUqSIzZW3DRs2pGFUmcvvv/9uHn30UfPyyy+bGzdu2Mx7++23TdGiRU1YWBgf1Pdp0aJFplq1auaFF14wBQoUMPv27bPO++OPP4zFYjG///67CyPM+JL6YNi3b5+1eNq/f78xxpinn37apgUQD+att94yr7/+ujHGmKtXr5p8+fIZNzc38/nnn7s2sAzs7sL+7mO7Xr16plWrVq4IKcOLz2P8v0eOHDE5c+Y0Y8aMsS4T/30jODjY5M2b125vAPyfe/N7dyH6zjvvmEqVKpkDBw6Yy5cvm/Pnz5v8+fObd955xyWxZkT3fsZFRUWZokWLmtatW5u2bdua3bt328wvV66ceemll9IwwtTD4BAPyNvbO8G0mzdvKi4uTjlz5pQkNW7cWH379k30ZjjY17BhQ82YMUPPPfecsmXLJkmKi4uz/vvII4/Iz8+PB686yNy5cKLOnTvrzz//1KhRo5Q7d27rcStJefLkUbVq1ZQ1a1YXRpoxHTt2zPr/+Jte71WxYkWNGTNGderUUYsWLVSlShVt2bJFDRo0SKswM5W7b5qPP9/my5dP0dHRku6ci0uWLKk33nhDb7zxhqZMmeKSODOq+Ju2PTw8rNMsFov1fNy1a1cdO3ZMu3fvlpT4DeBIXFRUlKT/+2zLnTu3+vfvr++//15fffWVpDvfN+Li4uTn56fAwECFh4e7LN6M5t78enp6Wue1bdtWv/76q8qXL6/AwEAFBASoZMmScnd3d0msGVF8fuPPwZ6envr444+1f/9+/frrr9Z8xy9Xr149m/NIRsI3zQeU2AeDMUZeXl66ffu2WrdurUuXLmn//v1JfnlC4owx1j/CSpUqqWHDhtZ5bm5uioiI0P79+1W+fHlXhZjhxX+I+Pr66vbt2woODtb+/fsVGRmp0NBQDR06VFmzZlW1atVcHGnGMn/+fJUqVUpjx45Ncpn4c0fFihX12muv6eLFi8qaNauCg4Pl4eGR4tH2IP344486dOiQzSiF8efbZs2a6ciRIypcuLD8/Py0YsUKjRkzRq+++qoWLlzIl/sUiM+vh4eH9Zxxt/iLVk899ZSuX7+uxYsXS0r6ggFsrVixQr169dLjjz+ul156yTpyZpcuXVS5cmV9/fXXmjhxoqQ7uc6WLZu8vb35Yp9C9+Y3NDTU5lxRu3Zt5c2b17r87du35e7urhIlSrgq5Azl7vy+/PLLCg0NlXSnOOrZs6csFovGjBmj6Oho6zF75MgRm4u0GYqrmroyg/imyXXr1tmMKBZ/U1ylSpVM8eLFrc9bSckoOPg/8fldu3atTX5v3bpldu/ebdq0aWMqVapkzWtG6yeblhK7CfPu/B4+fNgYY8yQIUOMu7u7qVixoqlSpYqpWbOm9filK2TKbNq0yZQsWdK0bNnS+Pj42HS1SUxoaKhp2LCheeSRR6zHMueKlFu6dKmxWCwmR44c1m6md9979++//5oSJUqY9u3bmwsXLlin37p1K0H3HSRkL7/x4qdNmjTJ5MuXz3r/ApI3a9Ys4+fnZ4YPH25eeuklU69ePdO6dWtrV7J//vnHDBw40OTPn980b97cDBo0yNSvX9+UK1eO80QKJJbfNm3aJPmZGBoaalq3bm1q167NPbwpkNTxG9+t9MKFC2bixInG39/fVK5c2bRv39489thjpmLFihn2+KVwSoHw8HBz9epVm2nxb/jy5cuNxWIxS5cutc7766+/jMViMdWrV6doSoFr166Z8+fP20yL/yKTWH7/+OMPU6dOHVO/fn1rfjnBJW3p0qXmo48+SpBjY/4vv3c/IHTJkiVm7NixZubMmda8cvymTEREhJk4caLp06eP+ffff8306dONu7u7ef/9963L3PslfePGjaZLly6cK+6DvSHe43P977//mitXriS6DYqmpN3PEPo///yz6dixIxdaUmDTpk2mWLFiNsO4L1682JQvX97mIeSXL18269atMy1btjSdO3c2ffv2tZ4n+OxLWnL5PXHihM2yERER5vvvvzeNGjUy1apV47tFCqT0+I2OjjZHjx41/fv3N6+//roZPnx4hj5+KZzsmD9/vmnYsKEJCgoyTz/9tJk2bZp13vr1642Pj4+ZPn26zTq3b982X375JVePU2DhwoWmSZMmpkCBAqZdu3Zmx44d1nmbNm1KNL8RERHmjz/+4Et9CsycOdNkzZrVTJo0KcEXx99//z3R/N4rI57YXOm///4zW7ZsMcbcOTanTJmSoHgyxiT6jCyOZcfYG+I9/ssP7s/9DqEffzxTPCUtNjbWTJ061bRv395cuXLFmqvQ0FCTP3/+FA0oxfkiaY7m99q1a2bp0qXm3Xff5btbCqTG8ZtRv1tQOCVj2bJlxsfHx4wbN87MnDnTPPnkk9bRx4wx5s8//7R5jkVi+MNL2uzZs42fn5/5+OOPzZIlS0zhwoVN7969rfN//PFHs2LFimS3kVH/8NLCtm3bTMGCBa1Xg27fvm0uXbpkQkJCjDF3WjqWL1/uyhAfCpGRkWbq1Kk2xdPFixfNpEmTzNGjR10cXcaXGkO8I2nk13n+/vtv67Duxtz5vnDjxg1TuHBhs379+gTLcyHAMY7m9+bNm9b/893Cvof1+KVwSkRcXJyJiooy3bt3N2+99ZZ1elhYmJk2bZqpUKGC6datm83ycMz69ettvtQbY8yUKVPM0KFDzYkTJ2w+hLlqeX9WrlxpHRp4z549pnXr1qZMmTLm0UcfNa+99pp1OT4gnC8iIsJMnTrVeHh4mGHDhpnHHnvMlC1blmP7ATDEu3ORX+e7O8d3/79s2bLmp59+sk7v27evCQsLS/P4Mjry61wPa34ZVS8RFotFnp6eOnfunM2Qwn5+furWrZtef/117d+/X6NHj7Yuj5SLjY3VqVOn9Prrr6tNmzbW6cuWLdPy5ctVtWpVNW/eXO+//74kMcz4fdq/f78uXbqkW7du6YUXXlCJEiU0evRoPfXUU/r999/Vrl07SWJkplRk/v8Q73f/Lt0ZRrh3794aN26cPvzwQ0VGRmrv3r1yc3NLdJQy2HfveTc+jwzxnjrIr/PdneO7/x8XF2f93Gvbtq0WL14sX1/fNI8voyO/zvWw5pdvpEkwxqhWrVoKCQmxKZ58fX317LPPql69evrtt98UERHhwigzJnd3dz399NN69tlnrc9lat++vY4eParJkydbn6ewatUqHTp06P+1d+9hNeX7H8Dfa6t0VbqZalBKiZSjUXIdSpFLcmtym8hEY8Qw9DPkdjhOkxmcx9CIGY2aaTDpJM3UTO65xZBQKHVc43RxKSnt/fn90dM6bZW9USo+r+fZz9O6f/q0ntX67PX9flcTR9tyubq6QlVVFevWrYOlpSVWrFgBHx8fLFy4EMuWLcONGzdw6NChpg7zrSMIAlJSUnDlyhW5fyaPHj1CTEwM/va3v+H48eNQVVVFZWUlfzHwGmoWqRKJRBxemId4fzlUz5DsnN/G9Xzenz17htLSUkilUshkMvj6+iI7Oxv379/n/L4Czm/jemfz21SPulqCrKws0tXVpRkzZtDjx4/lll26dIkEQaDU1NQmiu7tUV5eTpGRkXKj3Fy5coUEQaD4+PimC6yFu3v3Lrm4uJCuri717t1bbtm9e/fI2NiYIiMjmyi6lq2srIwePnwoN+9FI21Wd6Tt3bs3j573GmoOH179808//UTz5s2TW4+HeH85z5/LRMT5bURSqbTe/FZUVJCtrS2pqqqSra0tXy9eEee34dTVnP9dzi9/1fkCNjY22LNnD3bu3Ing4GDk5+fLLe/evTv09PSaJri3iJqaGqZOnQpzc3Nx3tOnT9GnTx907Nix6QJr4d577z1s27YNampqOHXqFCIjI8VlWlpasLGxabkvoGtCUVFR8Pb2hqOjI3x9fREREQEAUFFRwcGDBzFx4kSEh4dj/Pjx4jYSiQSjRo1Camqq+KSppb41/U27c+cObt26hTt37tRqGhIbG4uAgIBa14mMjAyYmZnhwoULUFFR4Xy/QEREBMaOHYsnT57Izef8Noxjx45h06ZNiIiIQEZGBoCq60F9+VVVVYWuri66d++OCxcu8PVCgfqaOnN+G8a+ffuwdetW8aW21d7p/DZ15dYSJCQkkLq6Oo0YMYLWr19PKSkp5O7uTs7Ozty5u4HU7Fj49OlTGjVqFA0bNozz2wAuXrxInTp1ou7du1NgYCBFR0eTq6sr9ezZkweGeEk///wzaWlp0TfffEPR0dHk5eVF77//PgUGBhJR1RD6ikba5MFklBcVFUW9evWiTp06kYGBgdxgMhkZGWRpaUlbtmx54T7epm86G1p4eDgJglDn6JoZGRnUqVMnzu9r2LZtGxkaGtKgQYNIX1+fJk2aJHaSry+/MpmMjh49yq/bUMLPP/9MK1euFF+2WlN91wfOr/IyMzNJEASys7OjiIgIuQEeLly48M7mlwsnJZ0/f568vb3JwsKCHBwcyN3dXXwEyTf3DaOkpIT27dtHI0eOJDs7O85vA8rOzqZFixaRvb09DRw4kMaOHcsv+HsJMpmMCgsLyc3NTe5dbsXFxWRhYUGCIJCfn5/c+uz1REVFkZaWFm3fvp0SExNp2bJlJJFI6MKFC0REVFRURCdPnqy1HedeOREREaSqqkq//vorEVVdfysqKsTXFTx69IhOnz5dazvOr3KSk5PJwMCA9uzZQ0RESUlJpKGhITZJf/jwIaWlpclt83xu+dpcv7i4OBIEgQRBoC+//LLWDXpd1wfO78u5ffs22dvbU//+/cnS0pK2bt0qvg+yoKBA7r2bRO9OfgWienqFslrKysrEj6mpKQRBePseQTah+/fvY8GCBaioqEB0dDQ3AWlgRITKykpUVFRAS0sLADi/L6GkpAR9+/ZFUFAQ/P39xdz5+flBIpHg3LlzmDlzJmbNmtXUobZ4ly5dwtSpUzF79mxMnz4dAFBaWoqBAwciICAAAQEBTRxhy5aamooBAwZgzpw52LBhA65evYrFixcjOzsbt2/fhr+/P6ZPnw4bG5umDrXFWrp0KS5fvozY2FgAVU3KhgwZAk9PT1RWVqJHjx7w8PAAUHVt5tF5lXfr1i0EBQWhS5cusLGxwYwZMzB//nysWbMGKioqnM8GQEQoLy/HlClTsGnTJqxatQrJyclYtWoVhgwZgj/++AO+vr5NHWaT4Duml6ChoSE3pKJMJuObzgZkbGyMf/3rX9DT04MgCJBKpZzfBlQ9zL6qqiqAqgsj51d5lZWVICKkpaVhwoQJ0NHRwd69e5GUlIRdu3ahsLAQv/32GxdODaC0tBSCIMDZ2Vmcp6WlBUNDQ1y7dg0A32y+DlVVVQwdOhTXr1/H+vXrsWnTJri7u2Pw4MGQyWQICwvDvXv3EBYWBiMjo6YOt0WqqKhAYWEhLl68CDs7O4wZMwbp6ekwMjLCnTt3EBUVhYKCAkyaNInP45ekoqKC/v37w8nJCX379oWGhoaYx9WrV/P/tQYgCALU1dUhk8mQmpqKb7/9FgEBAVi+fDkWLlwICwuLd7Zw4qZ6rFni5nmsOTp8+DCpqqqSg4MDDRo0iARBoK1btxIR0f79+8nY2Jjy8/P5/G0A586dE38uLy8nIiIfHx9aunSp3HpPnjx5k2G9NU6ePEmjR48mfX19mjdvnlxTp8TERJJIJJSUlNSEEbZsCQkJ1LlzZ+rWrRv169ePTE1NKSsri4iqRjUdM2YMTZ48+a3sA/ImFBUVyU3HxMSQiooKLVq0SMzpw4cP6fLly00RXosmk8nEZnaBgYE0d+5ccZm+vr7Yz7e0tLSJImxaXJazZonfbcOaowEDBiAtLQ2//PILVFVVsWrVKvTr1w8AkJeXB2traxgbG/M3yK+h+uWJPXr0EKerv0GWSCQoKSkBUPXEydvbG+PHj8ekSZOaKtwWpzq/zs7OWLx4Mbp164aJEyfKNXEaNmwYTExMcO3aNbi7uzd1yC1KdX6HDx8OfX19EBGioqJgZ2cnNn00NjZGx44dcenSJX4BuZKkUimePXsGdXV1AEDbtm3llvv4+AAAJk+eDIlEgtmzZ2PKlCno1asXvvrqqzceb0tTM7+CIIjn5eDBg3HixAkAgL29Pezt7WFqaoqIiAhIJBLMmDFDbPr/ruDCiTHGXoKDgwMcHBzEaSLC06dPsW/fPlhaWnLR9AqOHj0KFRUVODs71/rSpOa0TCYTX6I4fPhwpKenY/fu3W801pbo+fxW39w7OTnBwsKiVnO869evw8jICFZWVk0UccvyfH6lUilatWoFFxcXAFVDOlcX/EDV6zYuXryIbt268fVCCXFxcdizZw+ysrIwYMAABAcHo127drXW8/HxgUQiwZQpUxAeHg4DAwMkJyc3QcQty4vyq6enh927dyMuLg6mpqbYv38/NDU1MWbMGJw4cQJBQUFNHP2bx4UTY4y9omfPnuHEiRNYvnw5CgoKEB8fD4D737yMmJgYTJw4EQ4ODti2bRt69uxZK3fVN6KtW7eGhoaG+Eb6vLy8t/M9IQ2orvzWLJ6eL5rKysoQFBQEfX19uLm5NVHULUdd+W3VqpXcNcDGxgbTp0+Hvr4+9PT0cODAAeTn5yMxMREAXy9eZMeOHZg/fz6mTZuGDh06YPPmzXjw4AG+//77Otd3d3eHqakpzMzMcPDgQR5kSgFF+XVycoK1tTXatGmD8PBwaGpqAgBiY2Mhk8kgCMK7d/42XStBxhhr2Z48eUK7d++mzz///K18Q3pjy8jIIEdHRwoJCSE7Ozvq3r07paWl1RrWtrrP2OTJk0kQBOrZsyfnWwnK5peIqKKigsLCwqh///7k4ODArytQgqL81uzrGBYWRubm5uTi4kJTpkwRz1vOb/2OHj1KnTp1oh9//FGcd+TIEdLT0xNfS1DTkydPaMSIEfT++++L+eXrQ/2Uze+5c+fowYMH4nTNc/Zd7M/LHUkYY+wVaWhowMvLC9988w0/+XgFJSUl6NevH2bMmIH09HRIpVL4+/vj7NmzoBpvyqhurlfdxv7UqVOcbyUom1+gaqS99u3bo0uXLjhz5oyYX+6DUz9F+a1+sgcAX3zxBVJTU/Hnn38iMjJSfBLC+a2bVCpFamoqevToAS8vLwBVTXUtLCygq6sr5rWmsrIyjBs3Drm5ufykSYGXyW+PHj2gq6srTtc8Z9/F/uj8HifGGGNNoqysDPn5+bCwsABQ1ffD0dERKioq2L59Oz744AMAVTeo2traAP7XrIlvihRTNr+lpaW1OnhXN49k9VM2v48fP4aOjo7ctvSuNW96BTk5OUhNTcXUqVMB/O9dhPb29ti+fTv69OlT77Z8/ir2Ovl9l717pSJjjLFmQUNDQ7zprKiogLq6Os6dO4fKykr4+/vjr7/+wt27dxEYGIidO3cCgNimnosmxZTN76xZs8T8VuObTsWUze+nn36KqKgouW25aFLM0tJSvKkHqnImkUjw9OlTFBUVifP/8Y9/4Pz583Lb8vmr2MvkNz09vSlCbJb4iRNjjLFmofopUkVFBRwdHcUnS5WVlbh8+TIXS6+J89u4OL+Ni4hQUVEBe3t77NixAy4uLvDw8EBWVhauX7/OxdJr4vwqh584McYYaxZUVFQglUqhpqaGxMREXLx4EW3btsWlS5fEZezVcX4bF+e3cclkMlRWVkJLSwtSqRTe3t64ceMGsrOz0apVqzr7PTHlcX6Vw0+cGGOMNSv//e9/MXz4cJSWliI9PZ07ejcwzm/j4vw2nuo+OLm5uWjfvj0uXbrEA8U0IM6vYvzEiTHGWLNSXFwMW1tbnD9/nm86GwHnt3FxfhvPkydPUFxcDEtLS1y+fJlv6hsY51cxfuLEGGOsWak54hj/0254nN/GxfltXDk5OejYsSMXpY2E8/tiXDgxxhhjjLEWhW/qGxfnt25cODHGGGOMMcaYAtzHiTHGGGOMMcYU4MKJMcYYY4wxxhTgwokxxhhjjDHGFODCiTHGGGOMMcYU4MKJMcYYY4wxxhTgwokxxliDiYuLg5WVFVq1aoV58+a98eN/+OGHcsc1NzfHhg0b3ngczQ3ngTHGXh8XTowx1sSICG5ubvDw8Ki1bPPmzdDV1cWNGzeaILKXN3PmTIwbNw43b97E3//+93rXO3fuHMaPH4927dpBXV0d1tbW+OSTT3D16tUGjSctLQ0BAQENus+6mJubQxCEWp9//vOfjX5sZbypPDDG2NuMCyfGGGtigiDghx9+wKlTp/Ddd9+J83NzcxEcHIyNGzeiQ4cODXrMZ8+eNej+AKCkpAT379+Hh4cHTE1NoaOjU+d6CQkJ6N27N8rLyxEdHY3MzEzs3LkTurq6CAkJadCYjIyMoKmp2aD7rM+qVatw9+5duc+cOXPeyLHrU1FRAeDN5oExxt5WXDgxxlgz0L59e2zcuBFffPEFcnNzQUTw9/eHq6srnJyc4OnpCW1tbbRr1w5TpkxBQUGBuO3vv/+Ofv36QU9PDwYGBhgxYgRycnLE5Xl5eRAEAbt27cKHH34IdXV1REVF4T//+Q9GjhyJtm3bQktLC926dUNiYmK9MRYXF2Pq1Klo27YtNDU1MWzYMFy7dg0AcOjQIbFQGjx4MARBwKFDh2rt48mTJ5g2bRo8PT0RHx8PNzc3WFhYwNnZGevWrZMrHA8fPgwnJye0bt0aJiYm+L//+z9UVlaKy0tLSzF16lRoa2vDxMQEX3/9da3jPd9ETRAEbNu2Dd7e3tDU1ETnzp0RHx8vt018fDw6d+4MDQ0NDBo0CJGRkRAEAQ8ePKg3NwCgo6OD9957T+6jpaUFoKqoMjU1RWFhobj+qFGjMGDAAMhkMjG2LVu2YNiwYdDQ0ICFhQV2794td4zbt2/Dx8cHbdu2hYGBAby8vJCXlycu9/Pzw+jRo7F27VqYmprC2tq6zjw8fPgQAQEBMDY2Rps2bTB48GCkp6eLy1esWIEePXpg586dMDc3h66uLj766CM8fvxYXEcmkyE0NBRWVlZo3bo1OnTogDVr1igdK2OMtTRcODHGWDPx8ccfw9XVFdOmTcOmTZtw8eJFbNy4EQMHDkSPHj1w5swZ/P7777h37x4mTJggbldaWor58+cjLS0NKSkpkEgk8Pb2Fm/IqwUHByMoKAiZmZnw8PDA7NmzUV5ejiNHjiAjIwOhoaHQ1tauNz4/Pz+cOXMG8fHxOHHiBIgInp6eePbsGfr06YMrV64AAH799VfcvXsXffr0qbWPpKQkFBQUYNGiRXUeQ09PD0DVTbenpyd69eqF9PR0bNmyBdu3b8fq1avFdRcuXIiDBw9i7969SE5OxqFDh3D27FmFeV65ciUmTJiACxcuwNPTE5MmTUJRURGAqiJz3LhxGD16NM6fP4+ZM2diyZIlCvepyJIlS2Bubo4ZM2YAAMLDw3HkyBHs3LkTEsn//hWHhIRg7NixSE9Px+TJk+Hr64vMzEwAVUXnoEGDoK2tjSNHjuDYsWPQ1tbG0KFDxSdLAJCSkoLMzEz88ccfSEhIqBULEWH48OHIz89HYmIizp49i549e8LV1VXMAwDk5OQgLi4OCQkJSEhIwOHDh+WaHi5evBihoaEICQnB5cuX8dNPP6Fdu3YvFStjjLUoxBhjrNm4d+8eGRkZkUQiodjYWAoJCSF3d3e5dW7evEkA6MqVK3Xu4/79+wSAMjIyiIgoNzeXANCGDRvk1uvevTutWLFCqbiuXr1KACg1NVWcV1BQQBoaGrRr1y4iIiouLiYAdPDgwXr3ExoaSgCoqKjohcf78ssvycbGhmQymTjv22+/JW1tbZJKpfT48WNSU1OjmJgYcXlhYSFpaGjQ3LlzxXkdO3ak9evXi9MAaOnSpeJ0SUkJCYJAv/32GxERBQcHk52dnVwsS5YsIQBUXFxcb7wdO3YkNTU10tLSkvvUzEVOTg7p6OhQcHAwaWpqUlRUlNw+ANCsWbPk5jk7O1NgYCAREW3fvr1WTsrLy0lDQ4OSkpKIiOjjjz+mdu3aUXl5ea34qvOQkpJCbdq0oadPn8qtY2lpSd999x0RES1fvpw0NTXp0aNH4vKFCxeSs7MzERE9evSIWrduTREREXXmQ5lYGWOspVFpsoqNMcZYLcbGxggICEBcXBy8vb2xbds2HDx4sM4nQTk5ObC2tkZOTg5CQkJw8uRJFBQUiE+abty4ATs7O3H9Dz74QG77oKAgBAYGIjk5GW5ubhg7dizs7e3rjCszMxMqKipwdnYW5xkYGMDGxkZ8IqIMIlJqvczMTLi4uEAQBHFe3759UVJSglu3bqG4uBgVFRVwcXERl+vr68PGxkbhvmv+jlpaWtDR0cH9+/cBAFeuXEGvXr3k1ndyclIq5oULF8LPz09unpmZmfhzp06dsG7dOsycORM+Pj6YNGlSrX3U/H2qp8+fPw8AOHv2LLKzs2v1HXv69Klc08zu3btDTU2t3jjPnj2LkpISGBgYyM0vKyuT24+5ubncsUxMTMQ8ZWZmory8HK6urvUeQ5lYGWOsJeHCiTHGmhkVFRWoqFRdnmUyGUaOHInQ0NBa65mYmAAARo4cifbt2yMiIgKmpqaQyWSws7Or1SSqur9NtRkzZsDDwwP79+9HcnIy1q5di6+//rrOAQ3qK3iISK64UaS6z01WVlatIkHRfqtjEARB6QKsLqqqqnLTgiCIxeaLjquIoaEhrKysXrjOkSNH0KpVK+Tl5aGyslL8O79IdTwymQyOjo6Ijo6utY6RkZH48/N/5+fJZDKYmJjU2Qetuqkk8OI8aWhoKDyGMrEyxlhLwn2cGGOsGevZsycuXboEc3NzWFlZyX20tLRQWFiIzMxMLF26FK6urrC1tUVxcbHS+2/fvj1mzZqF2NhYLFiwABEREXWu17VrV1RWVuLUqVPivMLCQly9ehW2trZKH8/d3R2Ghob46quv6lxePQBD165dcfz4cbmi5fjx49DR0YGZmRmsrKygqqqKkydPisuLi4tfezjzLl26IC0tTW7emTNnXmuf1X755RfExsbi0KFD9Q7XXvP3qZ7u0qULgKpz4dq1azA2Nq51Lujq6iodR8+ePZGfnw8VFZVa+zE0NFRqH9WDZ6SkpNR7jIaIlTHGmhMunBhjrBmbPXs2ioqK4Ovri9OnT+P69etITk7G9OnTIZVKxRHLtm7diuzsbBw4cADz589Xat/z5s1DUlIScnNz8ddff+HAgQP1FkGdO3eGl5cXPvnkExw7dkwcvMDMzAxeXl5K/z5aWlrYtm0b9u/fj1GjRuHPP/9EXl4ezpw5g0WLFmHWrFkAgE8//RQ3b97EnDlzkJWVhX//+99Yvnw55s+fD4lEAm1tbfj7+2PhwoVISUnBxYsX4efnJzfQwquYOXMmsrKyEBwcjKtXr2LXrl3YsWMHACh8svb48WPk5+fLfR49egQAuHXrFgIDAxEaGop+/fphx44dWLt2ba1Caffu3fj+++9x9epVLF++HKdPn8Znn30GAJg0aRIMDQ3h5eWFo0ePIjc3F4cPH8bcuXNx69YtpX9HNzc3uLi4YPTo0UhKSkJeXh6OHz+OpUuXKl0kqqurIzg4GIsWLcKPP/6InJwcnDx5Etu3b2/QWBljrDnhwokxxpoxU1NTpKamQiqVwsPDA3Z2dpg7dy50dXUhkUggkUgQExODs2fPws7ODp9//jnCwsKU2rdUKsXs2bNha2uLoUOHwsbGBps3b653/R9++AGOjo4YMWIEXFxcQERITEys1aRLES8vLxw/fhyqqqqYOHEiunTpAl9fXzx8+FAcNc/MzAyJiYk4ffo0HBwcMGvWLPj7+2Pp0qXifsLCwjBgwACMGjUKbm5u6NevHxwdHV8qludZWFhgz549iI2Nhb29PbZs2SKOqte6desXbrts2TKYmJjIfRYtWgQigp+fH5ycnMQiaMiQIfjss88wefJklJSUiPtYuXIlYmJiYG9vj8jISERHR6Nr164AAE1NTRw5cgQdOnTAmDFjYGtri+nTp6OsrAxt2rRR+ncUBAGJiYkYMGAApk+fDmtra3z00UfIy8sTR8VTRkhICBYsWIBly5bB1tYWPj4+Yh+ohoqVMcaaE4Fep6E4Y4wx9pZbs2YNwsPDcfPmzUY9jiAI2Lt3L0aPHt2ox2GMMfZqeHAIxhhjrIbNmzejV69eMDAwQGpqKsLCwsQnRYwxxt5dXDgxxhhjNVy7dg2rV69GUVEROnTogAULFmDx4sVNHRZjjLEmxk31GGOMMcYYY0wBHhyCMcYYY4wxxhTgwokxxhhjjDHGFODCiTHGGGOMMcYU4MKJMcYYY4wxxhTgwokxxhhjjDHGFODCiTHGGGOMMcYU4MKJMcYYY4wxxhTgwokxxhhjjDHGFODCiTHGGGOMMcYU+H8+LYQrccWjlAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Correlation coefficient: -0.19\n" + ] + } + ], + "source": [ + "from sklearn.ensemble import HistGradientBoostingRegressor\n", + "\n", + "# Define the features and target\n", + "X = df2[['CodOrdinal']]\n", + "y = df2['NetSalary']\n", + "\n", + "# Train the HistGradientBoostingRegressor model\n", + "reg = HistGradientBoostingRegressor().fit(X, y)\n", + "\n", + "# Predict using the model\n", + "df2['PredictedSalary2'] = reg.predict(X)\n", + "\n", + "# Plot the scatter plot and regression line\n", + "plt.figure(figsize=(10, 6))\n", + "sns.scatterplot(x='CodOrdinal', y='NetSalary', data=df2, label='Actual Salary')\n", + "plt.plot(df2['CodOrdinal'], df2['PredictedSalary2'], color='red', linewidth=2, label='Predicted Salary')\n", + "plt.xticks(ticks=np.arange(1, 10), labels=experience_mapping.keys(), rotation=45)\n", + "plt.xlabel('Years of Coding Experience')\n", + "plt.ylabel('Average Salary')\n", + "plt.title('HistGradientBoostingRegressor: Salary vs. Coding Experience')\n", + "plt.legend()\n", + "plt.show()\n", + "\n", + "# Calculate and print the correlation coefficient\n", + "correlation = df2['CodOrdinal'].corr(df2['NetSalary'])\n", + "print(f\"Correlation coefficient: {correlation:.2f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Conclusions\n", + "\n", + "\n", + "Initial High Salaries for Early Career Professionals:\n", + "\n", + "There is a high median salary for professionals with 0-2 years of experience. This could be due to a variety of factors such as entry-level positions in high-paying industries or companies.\n", + "\n", + "\n", + "Sharp Decline After Early Career:\n", + "\n", + "The sharp decline in median salary after the initial 2 years suggests that professionals might face a plateau or even a decrease in salary growth as they gain more experience. This could indicate a saturation point or a shift in industry demand for mid-level experience.\n", + "Increase in Salary for Very Experienced Professionals:\n", + "\n", + "The increase in median salary for those with 21-23 years and 24-26 years of experience suggests that very experienced professionals might move into higher-paying roles such as senior management, consultancy, or specialized technical roles.\n", + "Negative Correlation in Linear Regression:\n", + "\n", + "The slight negative correlation seen in the linear regression plot suggests that, on average, more years of coding experience does not necessarily translate to higher salaries. This could be due to several factors such as industry shifts, changes in technology, or the devaluation of long-term experience in favor of newer skills.\n", + "Recommendations\n", + "Early Career Focus:\n", + "\n", + "For new graduates or those entering the field, targeting high-paying entry-level positions or companies can be beneficial. This is the time to capitalize on higher salaries before potential declines.\n", + "Continual Skill Development:\n", + "\n", + "Professionals should focus on continual skill development and staying updated with industry trends to remain competitive and increase their value in the job market.\n", + "Career Transition:\n", + "\n", + "Mid-career professionals might consider transitioning into roles that value their experience, such as management, consultancy, or specialized technical positions, to counter the salary plateau.\n", + "Leveraging Experience:\n", + "\n", + "For those with extensive experience, leveraging their years in the industry to move into strategic roles or consulting can lead to a significant increase in salary." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 2, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1900: RuntimeWarning: invalid value encountered in divide\n", + " F /= J\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 6, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 7, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 7, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 12, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 14, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 42, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 14, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 42, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 49, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 84, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 84, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 98, but rank is 1\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 294, but rank is 2\n", + " warnings.warn('covariance of constraints does not have full '\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " sum_sq df \\\n", + "C(FormalEducation) NaN 2.0 \n", + "C(ProfCodOrdinal) NaN 6.0 \n", + "C(CodOrdinal) NaN 7.0 \n", + "C(UndergradMajor) NaN 7.0 \n", + "C(FormalEducation):C(ProfCodOrdinal) NaN 12.0 \n", + "C(FormalEducation):C(CodOrdinal) NaN 14.0 \n", + "C(ProfCodOrdinal):C(CodOrdinal) NaN 42.0 \n", + "C(FormalEducation):C(UndergradMajor) NaN 14.0 \n", + "C(ProfCodOrdinal):C(UndergradMajor) NaN 42.0 \n", + "C(CodOrdinal):C(UndergradMajor) NaN 49.0 \n", + "C(FormalEducation):C(ProfCodOrdinal):C(CodOrdinal) NaN 84.0 \n", + "C(FormalEducation):C(ProfCodOrdinal):C(Undergra... NaN 84.0 \n", + "C(FormalEducation):C(CodOrdinal):C(UndergradMajor) 1.122731e+11 98.0 \n", + "C(ProfCodOrdinal):C(CodOrdinal):C(UndergradMajor) 3.176958e+14 294.0 \n", + "C(FormalEducation):C(ProfCodOrdinal):C(CodOrdin... 1.033397e+14 588.0 \n", + "Residual 6.016195e+10 3.0 \n", + "\n", + " F PR(>F) \n", + "C(FormalEducation) NaN NaN \n", + "C(ProfCodOrdinal) NaN NaN \n", + "C(CodOrdinal) NaN NaN \n", + "C(UndergradMajor) NaN NaN \n", + "C(FormalEducation):C(ProfCodOrdinal) NaN NaN \n", + "C(FormalEducation):C(CodOrdinal) NaN NaN \n", + "C(ProfCodOrdinal):C(CodOrdinal) NaN NaN \n", + "C(FormalEducation):C(UndergradMajor) NaN NaN \n", + "C(ProfCodOrdinal):C(UndergradMajor) NaN NaN \n", + "C(CodOrdinal):C(UndergradMajor) NaN NaN \n", + "C(FormalEducation):C(ProfCodOrdinal):C(CodOrdinal) NaN NaN \n", + "C(FormalEducation):C(ProfCodOrdinal):C(Undergra... NaN NaN \n", + "C(FormalEducation):C(CodOrdinal):C(UndergradMajor) 0.057128 0.826492 \n", + "C(ProfCodOrdinal):C(CodOrdinal):C(UndergradMajor) 53.884456 0.004457 \n", + "C(FormalEducation):C(ProfCodOrdinal):C(CodOrdin... 8.763737 0.049724 \n", + "Residual NaN NaN \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 588, but rank is 13\n", + " warnings.warn('covariance of constraints does not have full '\n" + ] + } + ], + "source": [ + "from statsmodels.formula.api import ols\n", + "from statsmodels.stats.anova import anova_lm\n", + "df_new= df2.dropna(subset=['NetSalary', 'FormalEducation', 'UndergradMajor', 'ProfCodOrdinal', 'CodOrdinal'])\n", + "# Define the model including ProfCodOrdinal and CodOrdinal\n", + "model = ols('NetSalary ~ C(FormalEducation) * C(ProfCodOrdinal)* C(CodOrdinal)* C(UndergradMajor)', data=df_new).fit()\n", + "\n", + "# Perform ANOVA\n", + "anova_results = anova_lm(model, typ=2)\n", + "print(anova_results)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Multiple Comparison of Means - Tukey HSD, FWER=0.05 \n", + 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computer engineering, or software engineering 139736.0 1.0 -1993348.4443 2272820.4443 False\n", + " 4.0:9.0:Mathematics or statistics 5.0:5.0:Computer science, computer engineering, or software engineering -10037.0 1.0 -2143121.4443 2123047.4443 False\n", + " 4.0:9.0:Mathematics or statistics 5.0:6.0:Another engineering discipline (ex. civil, electrical, mechanical) 350032.0 1.0 -1497273.3172 2197337.3172 False\n", + " 4.0:9.0:Mathematics or statistics 7.0:7.0:Computer science, computer engineering, or software engineering 32352.0 1.0 -2100732.4443 2165436.4443 False\n", + " 4.0:9.0:Mathematics or statistics 9.0:9.0:Computer science, computer engineering, or software engineering 172088.0 1.0 -1960996.4443 2305172.4443 False\n", + " 5.0:5.0:Computer science, computer engineering, or software engineering 5.0:6.0:Another engineering discipline (ex. civil, electrical, mechanical) 360069.0 1.0 -1487236.3172 2207374.3172 False\n", + " 5.0:5.0:Computer science, computer engineering, or software engineering 7.0:7.0:Computer science, computer engineering, or software engineering 42389.0 1.0 -2090695.4443 2175473.4443 False\n", + " 5.0:5.0:Computer science, computer engineering, or software engineering 9.0:9.0:Computer science, computer engineering, or software engineering 182125.0 1.0 -1950959.4443 2315209.4443 False\n", + "5.0:6.0:Another engineering discipline (ex. civil, electrical, mechanical) 7.0:7.0:Computer science, computer engineering, or software engineering -317680.0 1.0 -2164985.3172 1529625.3172 False\n", + "5.0:6.0:Another engineering discipline (ex. civil, electrical, mechanical) 9.0:9.0:Computer science, computer engineering, or software engineering -177944.0 1.0 -2025249.3172 1669361.3172 False\n", + " 7.0:7.0:Computer science, computer engineering, or software engineering 9.0:9.0:Computer science, computer engineering, or software engineering 139736.0 1.0 -1993348.4443 2272820.4443 False\n", + "------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + " Multiple Comparison of Means - Tukey HSD, FWER=0.05 \n", + "====================================================================================================================================================================================\n", + " group1 group2 meandiff p-adj lower upper reject\n", + "------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 10509840.0 0.0 8989530.6104 12030149.3896 True\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 238840.0 1.0 -963070.1049 1440750.1049 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:4.0 -131616.0 1.0 -1651925.3896 1388693.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Bachelor’s degree (BA, BS, B.Eng., etc.):2.0:2.0 -230160.0 1.0 -1750469.3896 1290149.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Bachelor’s degree (BA, BS, B.Eng., etc.):2.0:4.0 -212160.0 1.0 -1732469.3896 1308149.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Bachelor’s degree (BA, BS, B.Eng., etc.):3.0:4.0 -250640.0 0.9999 -1452550.1049 951270.1049 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Bachelor’s degree (BA, BS, B.Eng., etc.):3.0:5.0 -210160.0 1.0 -1730469.3896 1310149.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Bachelor’s degree (BA, BS, B.Eng., etc.):5.0:6.0 -194192.0 1.0 -1714501.3896 1326117.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Bachelor’s degree (BA, BS, B.Eng., etc.):7.0:7.0 -175160.0 1.0 -1695469.3896 1345149.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:1.0 27072.0 1.0 -1493237.3896 1547381.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:3.0 284688.0 1.0 -1235621.3896 1804997.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:2.0 -245225.0 0.9999 -1447135.1049 956685.1049 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:5.0 -204452.0 1.0 -1724761.3896 1315857.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):3.0:3.0 -92940.0 1.0 -1294850.1049 1108970.1049 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):3.0:5.0 -170160.0 1.0 -1690469.3896 1350149.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):4.0:4.0 326736.0 0.9999 -1193573.3896 1847045.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):4.0:6.0 -206346.5 1.0 -1408256.6049 995563.6049 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):4.0:9.0 -207512.0 1.0 -1727821.3896 1312797.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):5.0:5.0 -217549.0 1.0 -1737858.3896 1302760.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):5.0:6.0 479232.0 0.9866 -1041077.3896 1999541.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Some college/university study without earning a degree:1.0:1.0 1197648.0 0.1733 -322661.3896 2717957.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Some college/university study without earning a degree:1.0:3.0 -219447.0 1.0 -1421357.1049 982463.1049 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Some college/university study without earning a degree:1.0:4.0 -170160.0 1.0 -1690469.3896 1350149.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Some college/university study without earning a degree:2.0:2.0 144576.0 1.0 -1057334.1049 1346486.1049 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Some college/university study without earning a degree:4.0:4.0 590976.0 0.9253 -929333.3896 2111285.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:1.0 Some college/university study without earning a degree:9.0:9.0 -35424.0 1.0 -1555733.3896 1484885.3896 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 -10271000.0 0.0 -11883531.6184 -8658468.3816 True\n", + " Bachelor’s degree (BA, BS, 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etc.):7.0:7.0 -10685000.0 0.0 -12546991.1279 -8823008.8721 True\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:1.0 -10482768.0 0.0 -12344759.1279 -8620776.8721 True\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:3.0 -10225152.0 0.0 -12087143.1279 -8363160.8721 True\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:2.0 -10755065.0 0.0 -12367596.6184 -9142533.3816 True\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:5.0 -10714292.0 0.0 -12576283.1279 -8852300.8721 True\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):3.0:3.0 -10602780.0 0.0 -12215311.6184 -8990248.3816 True\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):3.0:5.0 -10680000.0 0.0 -12541991.1279 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Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 Some college/university study without earning a degree:1.0:3.0 -10729287.0 0.0 -12341818.6184 -9116755.3816 True\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 Some college/university study without earning a degree:1.0:4.0 -10680000.0 0.0 -12541991.1279 -8818008.8721 True\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 Some college/university study without earning a degree:2.0:2.0 -10365264.0 0.0 -11977795.6184 -8752732.3816 True\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 Some college/university study without earning a degree:4.0:4.0 -9918864.0 0.0 -11780855.1279 -8056872.8721 True\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:2.0 Some college/university study without earning a degree:9.0:9.0 -10545264.0 0.0 -12407255.1279 -8683272.8721 True\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:4.0 -370456.0 0.9997 -1982987.6184 1242075.6184 False\n", 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(MA, MS, M.Eng., MBA, etc.):1.0:1.0 -211768.0 1.0 -1824299.6184 1400763.6184 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:3.0 45848.0 1.0 -1566683.6184 1658379.6184 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:2.0 -484065.0 0.95 -1800691.553 832561.553 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:5.0 -443292.0 0.9968 -2055823.6184 1169239.6184 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):3.0:3.0 -331780.0 0.9989 -1648406.553 984846.553 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):3.0:5.0 -409000.0 0.9988 -2021531.6184 1203531.6184 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):4.0:4.0 87896.0 1.0 -1524635.6184 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Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 Some college/university study without earning a degree:1.0:4.0 -409000.0 0.9988 -2021531.6184 1203531.6184 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 Some college/university study without earning a degree:2.0:2.0 -94264.0 1.0 -1410890.553 1222362.553 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 Some college/university study without earning a degree:4.0:4.0 352136.0 0.9998 -1260395.6184 1964667.6184 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:3.0 Some college/university study without earning a degree:9.0:9.0 -274264.0 1.0 -1886795.6184 1338267.6184 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:4.0 Bachelor’s degree (BA, BS, B.Eng., etc.):2.0:2.0 -98544.0 1.0 -1960535.1279 1763447.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):1.0:4.0 Bachelor’s degree (BA, BS, B.Eng., etc.):2.0:4.0 -80544.0 1.0 -1942535.1279 1781447.1279 False\n", + " Bachelor’s degree (BA, BS, 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college/university study without earning a degree:4.0:4.0 841616.0 0.6549 -770915.6184 2454147.6184 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):3.0:4.0 Some college/university study without earning a degree:9.0:9.0 215216.0 1.0 -1397315.6184 1827747.6184 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):3.0:5.0 Bachelor’s degree (BA, BS, B.Eng., etc.):5.0:6.0 15968.0 1.0 -1846023.1279 1877959.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):3.0:5.0 Bachelor’s degree (BA, BS, B.Eng., etc.):7.0:7.0 35000.0 1.0 -1826991.1279 1896991.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):3.0:5.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:1.0 237232.0 1.0 -1624759.1279 2099223.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):3.0:5.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:3.0 494848.0 0.9978 -1367143.1279 2356839.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):3.0:5.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:2.0 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etc.):3.0:5.0 Some college/university study without earning a degree:4.0:4.0 801136.0 0.8589 -1060855.1279 2663127.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):3.0:5.0 Some college/university study without earning a degree:9.0:9.0 174736.0 1.0 -1687255.1279 2036727.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):5.0:6.0 Bachelor’s degree (BA, BS, B.Eng., etc.):7.0:7.0 19032.0 1.0 -1842959.1279 1881023.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):5.0:6.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:1.0 221264.0 1.0 -1640727.1279 2083255.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):5.0:6.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:3.0 478880.0 0.9985 -1383111.1279 2340871.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):5.0:6.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:2.0 -51033.0 1.0 -1663564.6184 1561498.6184 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):5.0:6.0 Master’s degree (MA, MS, M.Eng., 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degree (MA, MS, M.Eng., MBA, etc.):3.0:5.0 5000.0 1.0 -1856991.1279 1866991.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):7.0:7.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):4.0:4.0 501896.0 0.9974 -1360095.1279 2363887.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):7.0:7.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):4.0:6.0 -31186.5 1.0 -1643718.1184 1581345.1184 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):7.0:7.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):4.0:9.0 -32352.0 1.0 -1894343.1279 1829639.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):7.0:7.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):5.0:5.0 -42389.0 1.0 -1904380.1279 1819602.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):7.0:7.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):5.0:6.0 654392.0 0.9649 -1207599.1279 2516383.1279 False\n", + " Bachelor’s degree (BA, BS, B.Eng., etc.):7.0:7.0 Some college/university study without earning a degree:1.0:1.0 1372808.0 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Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):4.0:9.0 -234584.0 1.0 -2096575.1279 1627407.1279 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):5.0:5.0 -244621.0 1.0 -2106612.1279 1617370.1279 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:1.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):5.0:6.0 452160.0 0.9993 -1409831.1279 2314151.1279 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:1.0 Some college/university study without earning a degree:1.0:1.0 1170576.0 0.4107 -691415.1279 3032567.1279 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:1.0 Some college/university study without earning a degree:1.0:3.0 -246519.0 1.0 -1859050.6184 1366012.6184 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):1.0:1.0 Some college/university study without earning a degree:1.0:4.0 -197232.0 1.0 -2059223.1279 1664759.1279 False\n", + " Master’s 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degree (MA, MS, M.Eng., MBA, etc.):5.0:5.0 27676.0 1.0 -1584855.6184 1640207.6184 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:2.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):5.0:6.0 724457.0 0.8217 -888074.6184 2336988.6184 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:2.0 Some college/university study without earning a degree:1.0:1.0 1442873.0 0.0928 -169658.6184 3055404.6184 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:2.0 Some college/university study without earning a degree:1.0:3.0 25778.0 1.0 -1290848.553 1342404.553 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:2.0 Some college/university study without earning a degree:1.0:4.0 75065.0 1.0 -1537466.6184 1687596.6184 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:2.0 Some college/university study without earning a degree:2.0:2.0 389801.0 0.9928 -926825.553 1706427.553 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:2.0 Some college/university study without earning a degree:4.0:4.0 836201.0 0.6631 -776330.6184 2448732.6184 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:2.0 Some college/university study without earning a degree:9.0:9.0 209801.0 1.0 -1402730.6184 1822332.6184 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:5.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):3.0:3.0 111512.0 1.0 -1501019.6184 1724043.6184 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:5.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):3.0:5.0 34292.0 1.0 -1827699.1279 1896283.1279 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:5.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):4.0:4.0 531188.0 0.9952 -1330803.1279 2393179.1279 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:5.0 Master’s degree (MA, MS, M.Eng., MBA, etc.):4.0:6.0 -1894.5 1.0 -1614426.1184 1610637.1184 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):2.0:5.0 Master’s degree (MA, MS, M.Eng., 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earning a degree:1.0:1.0 718416.0 0.929 -1143575.1279 2580407.1279 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):5.0:6.0 Some college/university study without earning a degree:1.0:3.0 -698679.0 0.8533 -2311210.6184 913852.6184 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):5.0:6.0 Some college/university study without earning a degree:1.0:4.0 -649392.0 0.967 -2511383.1279 1212599.1279 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):5.0:6.0 Some college/university study without earning a degree:2.0:2.0 -334656.0 0.9999 -1947187.6184 1277875.6184 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):5.0:6.0 Some college/university study without earning a degree:4.0:4.0 111744.0 1.0 -1750247.1279 1973735.1279 False\n", + " Master’s degree (MA, MS, M.Eng., MBA, etc.):5.0:6.0 Some college/university study without earning a degree:9.0:9.0 -514656.0 0.9966 -2376647.1279 1347335.1279 False\n", + "Some college/university study without earning a degree:1.0:1.0 Some college/university study without earning a degree:1.0:3.0 -1417095.0 0.1019 -3029626.6184 195436.6184 False\n", + "Some college/university study without earning a degree:1.0:1.0 Some college/university study without earning a degree:1.0:4.0 -1367808.0 0.2343 -3229799.1279 494183.1279 False\n", + "Some college/university study without earning a degree:1.0:1.0 Some college/university study without earning a degree:2.0:2.0 -1053072.0 0.3632 -2665603.6184 559459.6184 False\n", + "Some college/university study without earning a degree:1.0:1.0 Some college/university study without earning a degree:4.0:4.0 -606672.0 0.9817 -2468663.1279 1255319.1279 False\n", + "Some college/university study without earning a degree:1.0:1.0 Some college/university study without earning a degree:9.0:9.0 -1233072.0 0.3464 -3095063.1279 628919.1279 False\n", + "Some college/university study without earning a degree:1.0:3.0 Some college/university study without earning a degree:1.0:4.0 49287.0 1.0 -1563244.6184 1661818.6184 False\n", + "Some college/university study without earning a degree:1.0:3.0 Some college/university study without earning a degree:2.0:2.0 364023.0 0.9966 -952603.553 1680649.553 False\n", + "Some college/university study without earning a degree:1.0:3.0 Some college/university study without earning a degree:4.0:4.0 810423.0 0.7015 -802108.6184 2422954.6184 False\n", + "Some college/university study without earning a degree:1.0:3.0 Some college/university study without earning a degree:9.0:9.0 184023.0 1.0 -1428508.6184 1796554.6184 False\n", + "Some college/university study without earning a degree:1.0:4.0 Some college/university study without earning a degree:2.0:2.0 314736.0 1.0 -1297795.6184 1927267.6184 False\n", + "Some college/university study without earning a degree:1.0:4.0 Some college/university study without earning a degree:4.0:4.0 761136.0 0.896 -1100855.1279 2623127.1279 False\n", + "Some college/university study without earning a degree:1.0:4.0 Some college/university study without earning a degree:9.0:9.0 134736.0 1.0 -1727255.1279 1996727.1279 False\n", + "Some college/university study without earning a degree:2.0:2.0 Some college/university study without earning a degree:4.0:4.0 446400.0 0.9965 -1166131.6184 2058931.6184 False\n", + "Some college/university study without earning a degree:2.0:2.0 Some college/university study without earning a degree:9.0:9.0 -180000.0 1.0 -1792531.6184 1432531.6184 False\n", + "Some college/university study without earning a degree:4.0:4.0 Some college/university study without earning a degree:9.0:9.0 -626400.0 0.9757 -2488391.1279 1235591.1279 False\n", + "------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n" + ] + } + ], + "source": [ + "import statsmodels.api as sm\n", + "from statsmodels.stats.multicomp import pairwise_tukeyhsd\n", + "\n", + "# Post-hoc test for the first significant interaction\n", + "interaction1 = df_new.assign(interaction1=df_new['ProfCodOrdinal'].astype(str) + ':' + df_new['CodOrdinal'].astype(str) + ':' + df_new['UndergradMajor'].astype(str))\n", + "tukey1 = pairwise_tukeyhsd(endog=df_new['NetSalary'], groups=interaction1['interaction1'], alpha=0.05)\n", + "print(tukey1)\n", + "\n", + "# Post-hoc test for the second significant interaction\n", + "interaction2 = df_new.assign(interaction2=df_new['FormalEducation'].astype(str) + ':' + df_new['ProfCodOrdinal'].astype(str) + ':' + df_new['CodOrdinal'].astype(str))\n", + "tukey2 = pairwise_tukeyhsd(endog=df_new['NetSalary'], groups=interaction2['interaction2'], alpha=0.05)\n", + "print(tukey2)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Check the unique values of UndergradMajor\n", + "unique_majors = df_new['UndergradMajor'].unique()\n", + "num_unique_majors = len(unique_majors)\n", + "\n", + "# Create enough markers and linestyles to cover all unique values\n", + "markers = ['o', 's', 'D', 'v', '^', '<', '>', 'P', '*', 'X'][:num_unique_majors]\n", + "linestyles = ['-', '--', ':', '-.', (0, (3, 5, 1, 5)), (0, (5, 10))][:num_unique_majors]\n", + "\n", + "# Plot\n", + "g = sns.FacetGrid(df_new, col=\"CodOrdinal\", height=5, aspect=1.5)\n", + "g.map_dataframe(sns.pointplot, x=\"ProfCodOrdinal\", y=\"NetSalary\", hue=\"UndergradMajor\", dodge=True, markers=markers, linestyles=linestyles)\n", + "g.add_legend()\n", + "g.set_axis_labels(\"ProfCodOrdinal\", \"NetSalary\")\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Educational Attainment:\n", + "\n", + "A Bachelor’s degree generally appears to be more financially beneficial compared to a Master’s degree or some college/university study without a degree in this dataset since it's consistently used as the reference point.\n", + "\n", + "Field of Study:\n", + "\n", + "Fields such as business, computer science, and engineering might offer better financial outcomes compared to social sciences, natural sciences, and humanities.\n", + "\n", + "Social Sciences: These fields showed significant negative differences, and in the scatter plots, individuals in these fields would likely appear lower on the financial scale.\n", + "\n", + "Business and Computer Science: These fields generally had better outcomes, so in the scatter plots, these dots would be higher, indicating better financial metrics.\n", + "\n", + "Natural Sciences and Humanities: Showed mixed or negative outcomes, likely appearing lower in the scatter plots.\n", + "\n", + "Coding Experience:\n", + "\n", + "Early-career professionals might face challenges in achieving similar financial outcomes as those with more experience.\n", + "\n", + "1-2 Years: Significant clustering with generally lower financial outcomes, reflected by a concentration of dots in the lower part of the scatter plots.\n", + "\n", + "Higher Experience Levels: More spread out and possibly higher dots, indicating variability and potential improvement in financial metrics with more experience." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "No 51\n", + "Yes 48\n", + "Name: OpenSource, dtype: int64" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['OpenSource'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "No 77\n", + "Yes, full-time 16\n", + "Yes, part-time 5\n", + "Name: Student, dtype: int64" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['Student'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Employed full-time 91\n", + "Employed part-time 8\n", + "Name: Employment, dtype: int64" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['Employment'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Scatter plot with linear regression line for Net Salary vs. OpenSourceOrdinal\n", + "plt.figure(figsize=(10, 6))\n", + "sns.regplot(x='OpenSourceOrdinal', y='NetSalary', data=df2, scatter_kws={'s':50}, line_kws={'color':'red'})\n", + "plt.title('Net Salary vs. Open Source Involvement (Ordinal)')\n", + "plt.xlabel('Open Source Involvement (Ordinal)')\n", + "plt.ylabel('Net Salary')\n", + "plt.grid(True)\n", + "plt.show()\n", + "\n", + "# Scatter plot with linear regression line for Net Salary vs. StudentOrdinal\n", + "plt.figure(figsize=(10, 6))\n", + "sns.regplot(x='StudentOrdinal', y='NetSalary', data=df2, scatter_kws={'s':50}, line_kws={'color':'red'})\n", + "plt.title('Net Salary vs. Student Status (Ordinal)')\n", + "plt.xlabel('Student Status (Ordinal)')\n", + "plt.ylabel('Net Salary')\n", + "plt.grid(True)\n", + "plt.show()\n", + "\n", + "# Scatter plot with linear regression line for Net Salary vs. EmploymentOrdinal\n", + "plt.figure(figsize=(10, 6))\n", + "sns.regplot(x='EmploymentOrdinal', y='NetSalary', data=df2, scatter_kws={'s':50}, line_kws={'color':'red'})\n", + "plt.title('Net Salary vs. Employment Status (Ordinal)')\n", + "plt.xlabel('Employment Status (Ordinal)')\n", + "plt.ylabel('Net Salary')\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " OpenSourceOrdinal StudentOrdinal EmploymentOrdinal \\\n", + "OpenSourceOrdinal 1.000000 0.215666 -0.164399 \n", + "StudentOrdinal 0.215666 1.000000 -0.283642 \n", + "EmploymentOrdinal -0.164399 -0.283642 1.000000 \n", + "NetSalary -0.179206 -0.051045 0.037159 \n", + "\n", + " NetSalary \n", + "OpenSourceOrdinal -0.179206 \n", + "StudentOrdinal -0.051045 \n", + "EmploymentOrdinal 0.037159 \n", + "NetSalary 1.000000 \n", + " sum_sq df \\\n", + "C(NetSalary) -1.216923e+14 33.0 \n", + "C(OpenSourceOrdinal) NaN 1.0 \n", + "C(StudentOrdinal) NaN 2.0 \n", + "C(EmploymentOrdinal) NaN 1.0 \n", + "C(NetSalary):C(OpenSourceOrdinal) 5.153163e+12 33.0 \n", + "C(NetSalary):C(StudentOrdinal) -3.975959e+12 66.0 \n", + "C(OpenSourceOrdinal):C(StudentOrdinal) NaN 2.0 \n", + "C(NetSalary):C(EmploymentOrdinal) 1.442413e+15 33.0 \n", + "C(OpenSourceOrdinal):C(EmploymentOrdinal) NaN 1.0 \n", + "C(StudentOrdinal):C(EmploymentOrdinal) NaN 2.0 \n", + "C(NetSalary):C(OpenSourceOrdinal):C(StudentOrdi... 3.421886e+12 66.0 \n", + "C(NetSalary):C(OpenSourceOrdinal):C(EmploymentO... 2.506598e+12 33.0 \n", + "C(NetSalary):C(StudentOrdinal):C(EmploymentOrdi... 2.494184e+12 66.0 \n", + "C(OpenSourceOrdinal):C(StudentOrdinal):C(Employ... NaN 2.0 \n", + "C(NetSalary):C(OpenSourceOrdinal):C(StudentOrdi... 5.013196e+12 66.0 \n", + "Residual 3.758407e-15 3.0 \n", + "\n", + " F PR(>F) \n", + "C(NetSalary) -2.943516e+27 1.000000e+00 \n", + "C(OpenSourceOrdinal) NaN NaN \n", + "C(StudentOrdinal) NaN NaN \n", + "C(EmploymentOrdinal) NaN NaN \n", + "C(NetSalary):C(OpenSourceOrdinal) 1.246457e+26 1.320142e-39 \n", + "C(NetSalary):C(StudentOrdinal) -4.808564e+25 1.000000e+00 \n", + "C(OpenSourceOrdinal):C(StudentOrdinal) NaN NaN \n", + "C(NetSalary):C(EmploymentOrdinal) 3.488937e+28 3.384005e-43 \n", + "C(OpenSourceOrdinal):C(EmploymentOrdinal) NaN NaN \n", + "C(StudentOrdinal):C(EmploymentOrdinal) NaN NaN \n", + "C(NetSalary):C(OpenSourceOrdinal):C(StudentOrdi... 4.138462e+25 6.900465e-39 \n", + "C(NetSalary):C(OpenSourceOrdinal):C(EmploymentO... 6.063008e+25 3.891389e-39 \n", + "C(NetSalary):C(StudentOrdinal):C(EmploymentOrdi... 3.016490e+25 1.108879e-38 \n", + "C(OpenSourceOrdinal):C(StudentOrdinal):C(Employ... NaN NaN \n", + "C(NetSalary):C(OpenSourceOrdinal):C(StudentOrdi... 6.063008e+25 3.891389e-39 \n", + "Residual NaN NaN \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 33, but rank is 1\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 1, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1900: RuntimeWarning: invalid value encountered in divide\n", + " F /= J\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 2, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 1, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 33, but rank is 2\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 66, but rank is 2\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 2, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 33, but rank is 1\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 1, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 2, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 66, but rank is 2\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 33, but rank is 2\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 66, but rank is 2\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 2, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "C:\\Users\\Nidhi Satyapriya\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:1871: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 66, but rank is 2\n", + " warnings.warn('covariance of constraints does not have full '\n" + ] + } + ], + "source": [ + "# Creating ordinal columns in df2\n", + "df2['OpenSourceOrdinal'] = df['OpenSource'].map({'No': 0, 'Yes': 1})\n", + "df2['StudentOrdinal'] = df['Student'].map({'No': 0, 'Yes, part-time': 1, 'Yes, full-time': 2})\n", + "df2['EmploymentOrdinal'] = df['Employment'].map({'Employed part-time': 0, 'Employed full-time': 1})\n", + "\n", + "# Checking the relations with NetSalary\n", + "# Using correlation\n", + "print(df2[['OpenSourceOrdinal', 'StudentOrdinal', 'EmploymentOrdinal', 'NetSalary']].corr())\n", + "\n", + "# Using ANOVA\n", + "import statsmodels.api as sm\n", + "from statsmodels.formula.api import ols\n", + "from statsmodels.stats.anova import anova_lm\n", + "\n", + "# Define the model\n", + "model = ols('NetSalary ~ C(NetSalary)*C(OpenSourceOrdinal)* C(StudentOrdinal)* C(EmploymentOrdinal)', data=df2).fit()\n", + "\n", + "# Perform ANOVA\n", + "anova_results = anova_lm(model, typ=2)\n", + "print(anova_results)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Overall Interpretation\n", + "\n", + "\n", + "The main effects of OpenSourceOrdinal, StudentOrdinal, and EmploymentOrdinal individually may not be significant, but their interactions, especially involving NetSalary, are highly significant.\n", + "\n", + "OpenSourceOrdinal:\n", + "\n", + "Positive Correlation with StudentOrdinal (0.2157): Indicates that students are more likely to participate in open-source activities. This could be because students might have more time or incentives (like course projects) to engage in open-source projects.\n", + "\n", + "Negative Correlation with EmploymentOrdinal (-0.1644): Suggests that those more involved in open-source projects may not be as highly employed or may be employed in roles that value open-source contributions less.\n", + "\n", + "Negative Correlation with NetSalary (-0.1792): Indicates that higher involvement in open-source activities might be associated with lower net salaries. This could imply that individuals heavily involved in open-source work might prioritize other factors over salary, such as learning, community contribution, or working in lower-paying but more flexible or mission-driven roles.\n", + "\n", + "StudentOrdinal:\n", + "\n", + "Negative Correlation with EmploymentOrdinal (-0.2836): Indicates that higher student status is associated with lower employment status, which is expected since full-time students are less likely to be fully employed.\n", + "\n", + "Weak Negative Correlation with NetSalary (-0.0510): Suggests that being a student has a slight negative impact on net salary, which makes sense as students typically have lower earnings compared to fully employed individuals.\n", + "\n", + "EmploymentOrdinal:\n", + "\n", + "Weak Positive Correlation with NetSalary (0.0372): Suggests that there is a slight positive relationship between employment status and net salary. This is intuitive, as higher employment status typically correlates with higher earnings.\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Final Thoughts\n", + "\n", + "\n", + "This analysis highlights the complex relationship between education, experience, and salary. While higher education generally leads to higher earnings, specific skills, experience, and industry demand play crucial roles in determining individual salary outcomes. Continuous skill development and strategic career transitions are key to maximizing earning potential in a dynamic job market." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Key Insights\n", + "\n", + "1) Based on general trends and repeated patterns, it is clear that pursuing a Bachelor’s degree (BA, BS, B.Eng., etc.) is the most beneficial Formal Education. It offers a good median, shows a wide range of salaries with some outliers of high salaries indicating people with this degree coupled with some other unique skills and experience can earn considerably higher salaries than the rest.\n", + "2) Doing a Master's degree can a considerate hike to the salary, however it is not as much as one expects.\n", + "3) People without a professional degree but with relevant skills and experience are making huge money, highlighting the importance of gaining real-world problem-solving skills.\n", + "4) However, FormalEducation alone is not significant to determine the salaries of the individual. 'UnderGradMajor' and combined interactions of 'ProfCoding'-'CodingYears' and 'Student'-'YearsCoding'-'YearsCodingProf' significantly impact the salary.\n", + "5) 'Business Discipline' , 'Engineering and Computer Science' are the most rewarding majors. Social Science offers the highest median, however, due to lack of data, it is unsafe to claim this.\n", + "6) Coding Experience: Early-career professionals might face challenges in achieving similar financial outcomes as those with more experience.\n", + "\n", + " a) 1-2 Years: Significant clustering with generally lower financial outcomes, reflected by a concentration of dots in the lower part of the scatter plots.\n", + " \n", + " b) Higher Experience Levels: More spread out and possibly higher dots, indicating variability and potential improvement in financial metrics with more experience." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/backlog/.ipynb_checkpoints/HigherEduVsSalary-checkpoint.ipynb b/backlog/.ipynb_checkpoints/HigherEduVsSalary-checkpoint.ipynb new file mode 100644 index 0000000..8d0a099 --- /dev/null +++ b/backlog/.ipynb_checkpoints/HigherEduVsSalary-checkpoint.ipynb @@ -0,0 +1,1706 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Higher Education Vs Salary Of Developers: EDA and Analysis\n", + " Stack_Overflow 2018 Dataset\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Introduction\n", + "This feature aims to analyze the correlation between higher education levels and the salaries of developers surveyed in 2018. The analysis will help understand how different educational qualifications influence earning potential in the developer community." + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "#importing modules\n", + "import numpy as np \n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "import seaborn as sns" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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RespondentHobbyOpenSourceCountryStudentEmploymentFormalEducationUndergradMajorCompanySizeDevType...ExerciseGenderSexualOrientationEducationParentsRaceEthnicityAgeDependentsMilitaryUSSurveyTooLongSurveyEasy
01YesNoKenyaNoEmployed part-timeBachelor’s degree (BA, BS, B.Eng., etc.)Mathematics or statistics20 to 99 employeesFull-stack developer...3 - 4 times per weekMaleStraight or heterosexualBachelor’s degree (BA, BS, B.Eng., etc.)Black or of African descent25 - 34 years oldYesNaNThe survey was an appropriate lengthVery easy
13YesYesUnited KingdomNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)A natural science (ex. biology, chemistry, phy...10,000 or more employeesDatabase administrator;DevOps specialist;Full-......Daily or almost every dayMaleStraight or heterosexualBachelor’s degree (BA, BS, B.Eng., etc.)White or of European descent35 - 44 years oldYesNaNThe survey was an appropriate lengthSomewhat easy
24YesYesUnited StatesNoEmployed full-timeAssociate degreeComputer science, computer engineering, or sof...20 to 99 employeesEngineering manager;Full-stack developer...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
35NoNoUnited StatesNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...100 to 499 employeesFull-stack developer...I don't typically exerciseMaleStraight or heterosexualSome college/university study without earning ...White or of European descent35 - 44 years oldNoNoThe survey was an appropriate lengthSomewhat easy
47YesNoSouth AfricaYes, part-timeEmployed full-timeSome college/university study without earning ...Computer science, computer engineering, or sof...10,000 or more employeesData or business analyst;Desktop or enterprise......3 - 4 times per weekMaleStraight or heterosexualSome college/university study without earning ...White or of European descent18 - 24 years oldYesNaNThe survey was an appropriate lengthSomewhat easy
58YesNoUnited KingdomNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...10 to 19 employeesBack-end developer;Database administrator;Fron......1 - 2 times per weekMaleStraight or heterosexualSecondary school (e.g. American high school, G...White or of European descent18 - 24 years oldNoNaNThe survey was an appropriate lengthSomewhat easy
69YesYesUnited StatesNoEmployed full-timeSome college/university study without earning ...Computer science, computer engineering, or sof...10,000 or more employeesBack-end developer;Front-end developer;Full-st......I don't typically exerciseMaleStraight or heterosexualMaster’s degree (MA, MS, M.Eng., MBA, etc.)White or of European descent18 - 24 years oldNoNoThe survey was an appropriate lengthSomewhat easy
710YesYesNigeriaNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...10 to 19 employeesDesigner;Front-end developer;QA or test developer...1 - 2 times per weekFemaleNaNPrimary/elementary schoolBlack or of African descent25 - 34 years oldNoNaNThe survey was too longSomewhat difficult
811YesYesUnited StatesNoEmployed full-timeSome college/university study without earning ...Fine arts or performing arts (ex. graphic desi...100 to 499 employeesBack-end developer;C-suite executive (CEO, CTO......I don't typically exerciseMaleStraight or heterosexualSome college/university study without earning ...White or of European descent35 - 44 years oldYesNoThe survey was an appropriate lengthVery easy
916NoYesIndiaNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...500 to 999 employeesDesigner...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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10 rows × 129 columns

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" + ], + "text/plain": [ + " Respondent Hobby OpenSource Country Student \\\n", + "0 1 Yes No Kenya No \n", + "1 3 Yes Yes United Kingdom No \n", + "2 4 Yes Yes United States No \n", + "3 5 No No United States No \n", + "4 7 Yes No South Africa Yes, part-time \n", + "5 8 Yes No United Kingdom No \n", + "6 9 Yes Yes United States No \n", + "7 10 Yes Yes Nigeria No \n", + "8 11 Yes Yes United States No \n", + "9 16 No Yes India No \n", + "\n", + " Employment FormalEducation \\\n", + "0 Employed part-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "1 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "2 Employed full-time Associate degree \n", + "3 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "4 Employed full-time Some college/university study without earning ... \n", + "5 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "6 Employed full-time Some college/university study without earning ... \n", + "7 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "8 Employed full-time Some college/university study without earning ... \n", + "9 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "\n", + " UndergradMajor \\\n", + "0 Mathematics or statistics \n", + "1 A natural science (ex. biology, chemistry, phy... \n", + "2 Computer science, computer engineering, or sof... \n", + "3 Computer science, computer engineering, or sof... \n", + "4 Computer science, computer engineering, or sof... \n", + "5 Computer science, computer engineering, or sof... \n", + "6 Computer science, computer engineering, or sof... \n", + "7 Computer science, computer engineering, or sof... \n", + "8 Fine arts or performing arts (ex. graphic desi... \n", + "9 Computer science, computer engineering, or sof... \n", + "\n", + " CompanySize \\\n", + "0 20 to 99 employees \n", + "1 10,000 or more employees \n", + "2 20 to 99 employees \n", + "3 100 to 499 employees \n", + "4 10,000 or more employees \n", + "5 10 to 19 employees \n", + "6 10,000 or more employees \n", + "7 10 to 19 employees \n", + "8 100 to 499 employees \n", + "9 500 to 999 employees \n", + "\n", + " DevType ... \\\n", + "0 Full-stack developer ... \n", + "1 Database administrator;DevOps specialist;Full-... ... \n", + "2 Engineering manager;Full-stack developer ... \n", + "3 Full-stack developer ... \n", + "4 Data or business analyst;Desktop or enterprise... ... \n", + "5 Back-end developer;Database administrator;Fron... ... \n", + "6 Back-end developer;Front-end developer;Full-st... ... \n", + "7 Designer;Front-end developer;QA or test developer ... \n", + "8 Back-end developer;C-suite executive (CEO, CTO... ... \n", + "9 Designer ... \n", + "\n", + " Exercise Gender SexualOrientation \\\n", + "0 3 - 4 times per week Male Straight or heterosexual \n", + "1 Daily or almost every day Male Straight or heterosexual \n", + "2 NaN NaN NaN \n", + "3 I don't typically exercise Male Straight or heterosexual \n", + "4 3 - 4 times per week Male Straight or heterosexual \n", + "5 1 - 2 times per week Male Straight or heterosexual \n", + "6 I don't typically exercise Male Straight or heterosexual \n", + "7 1 - 2 times per week Female NaN \n", + "8 I don't typically exercise Male Straight or heterosexual \n", + "9 NaN NaN NaN \n", + "\n", + " EducationParents \\\n", + "0 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "1 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "2 NaN \n", + "3 Some college/university study without earning ... \n", + "4 Some college/university study without earning ... \n", + "5 Secondary school (e.g. American high school, G... \n", + "6 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", + "7 Primary/elementary school \n", + "8 Some college/university study without earning ... \n", + "9 NaN \n", + "\n", + " RaceEthnicity Age Dependents MilitaryUS \\\n", + "0 Black or of African descent 25 - 34 years old Yes NaN \n", + "1 White or of European descent 35 - 44 years old Yes NaN \n", + "2 NaN NaN NaN NaN \n", + "3 White or of European descent 35 - 44 years old No No \n", + "4 White or of European descent 18 - 24 years old Yes NaN \n", + "5 White or of European descent 18 - 24 years old No NaN \n", + "6 White or of European descent 18 - 24 years old No No \n", + "7 Black or of African descent 25 - 34 years old No NaN \n", + "8 White or of European descent 35 - 44 years old Yes No \n", + "9 NaN NaN NaN NaN \n", + "\n", + " SurveyTooLong SurveyEasy \n", + "0 The survey was an appropriate length Very easy \n", + "1 The survey was an appropriate length Somewhat easy \n", + "2 NaN NaN \n", + "3 The survey was an appropriate length Somewhat easy \n", + "4 The survey was an appropriate length Somewhat easy \n", + "5 The survey was an appropriate length Somewhat easy \n", + "6 The survey was an appropriate length Somewhat easy \n", + "7 The survey was too long Somewhat difficult \n", + "8 The survey was an appropriate length Very easy \n", + "9 NaN NaN \n", + "\n", + "[10 rows x 129 columns]" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df=pd.read_csv(\"../Data/survey_results_sample_2018.csv\") #data loading\n", + "df.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data Exploration" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(99, 129)\n" + ] + } + ], + "source": [ + "print(df.shape)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Respondent int64\n", + "Hobby object\n", + "OpenSource object\n", + "Country object\n", + "Student object\n", + " ... \n", + "Age object\n", + "Dependents object\n", + "MilitaryUS object\n", + "SurveyTooLong object\n", + "SurveyEasy object\n", + "Length: 129, dtype: object" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Respondent', 'Hobby', 'OpenSource', 'Country', 'Student', 'Employment', 'FormalEducation', 'UndergradMajor', 'CompanySize', 'DevType', 'YearsCoding', 'YearsCodingProf', 'JobSatisfaction', 'CareerSatisfaction', 'HopeFiveYears', 'JobSearchStatus', 'LastNewJob', 'AssessJob1', 'AssessJob2', 'AssessJob3', 'AssessJob4', 'AssessJob5', 'AssessJob6', 'AssessJob7', 'AssessJob8', 'AssessJob9', 'AssessJob10', 'AssessBenefits1', 'AssessBenefits2', 'AssessBenefits3', 'AssessBenefits4', 'AssessBenefits5', 'AssessBenefits6', 'AssessBenefits7', 'AssessBenefits8', 'AssessBenefits9', 'AssessBenefits10', 'AssessBenefits11', 'JobContactPriorities1', 'JobContactPriorities2', 'JobContactPriorities3', 'JobContactPriorities4', 'JobContactPriorities5', 'JobEmailPriorities1', 'JobEmailPriorities2', 'JobEmailPriorities3', 'JobEmailPriorities4', 'JobEmailPriorities5', 'JobEmailPriorities6', 'JobEmailPriorities7', 'UpdateCV', 'Currency', 'Salary', 'SalaryType', 'ConvertedSalary', 'CurrencySymbol', 'CommunicationTools', 'TimeFullyProductive', 'EducationTypes', 'SelfTaughtTypes', 'TimeAfterBootcamp', 'HackathonReasons', 'AgreeDisagree1', 'AgreeDisagree2', 'AgreeDisagree3', 'LanguageWorkedWith', 'LanguageDesireNextYear', 'DatabaseWorkedWith', 'DatabaseDesireNextYear', 'PlatformWorkedWith', 'PlatformDesireNextYear', 'FrameworkWorkedWith', 'FrameworkDesireNextYear', 'IDE', 'OperatingSystem', 'NumberMonitors', 'Methodology', 'VersionControl', 'CheckInCode', 'AdBlocker', 'AdBlockerDisable', 'AdBlockerReasons', 'AdsAgreeDisagree1', 'AdsAgreeDisagree2', 'AdsAgreeDisagree3', 'AdsActions', 'AdsPriorities1', 'AdsPriorities2', 'AdsPriorities3', 'AdsPriorities4', 'AdsPriorities5', 'AdsPriorities6', 'AdsPriorities7', 'AIDangerous', 'AIInteresting', 'AIResponsible', 'AIFuture', 'EthicsChoice', 'EthicsReport', 'EthicsResponsible', 'EthicalImplications', 'StackOverflowRecommend', 'StackOverflowVisit', 'StackOverflowHasAccount', 'StackOverflowParticipate', 'StackOverflowJobs', 'StackOverflowDevStory', 'StackOverflowJobsRecommend', 'StackOverflowConsiderMember', 'HypotheticalTools1', 'HypotheticalTools2', 'HypotheticalTools3', 'HypotheticalTools4', 'HypotheticalTools5', 'WakeTime', 'HoursComputer', 'HoursOutside', 'SkipMeals', 'ErgonomicDevices', 'Exercise', 'Gender', 'SexualOrientation', 'EducationParents', 'RaceEthnicity', 'Age', 'Dependents', 'MilitaryUS', 'SurveyTooLong', 'SurveyEasy']\n" + ] + } + ], + "source": [ + "print(df.columns.tolist())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Parameters Relevant to our Analysis: Initial Observation\n", + "'FormalEducation' , 'UndergradMajor', 'SalaryType', 'ConvertedSalary', " + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "SalaryType\n", + "Monthly 26\n", + "Yearly 22\n", + "Weekly 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['SalaryType'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "UndergradMajor\n", + "Computer science, computer engineering, or software engineering 56\n", + "A natural science (ex. biology, chemistry, physics) 7\n", + "Another engineering discipline (ex. civil, electrical, mechanical) 7\n", + "A business discipline (ex. accounting, finance, marketing) 5\n", + "Fine arts or performing arts (ex. graphic design, music, studio art) 4\n", + "Information systems, information technology, or system administration 3\n", + "Mathematics or statistics 2\n", + "Web development or web design 2\n", + "A social science (ex. anthropology, psychology, political science) 1\n", + "A humanities discipline (ex. literature, history, philosophy) 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['UndergradMajor'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "FormalEducation\n", + "Bachelor’s degree (BA, BS, B.Eng., etc.) 44\n", + "Master’s degree (MA, MS, M.Eng., MBA, etc.) 29\n", + "Some college/university study without earning a degree 17\n", + "Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.) 4\n", + "Associate degree 3\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['FormalEducation'].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data Cleaning" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FormalEducation 2\n", + "UndergradMajor 11\n", + "SalaryType 50\n", + "ConvertedSalary 53\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "\n", + "print(df[['FormalEducation', 'UndergradMajor', 'SalaryType', 'ConvertedSalary']].isnull().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "df2= df[['FormalEducation', 'UndergradMajor', 'SalaryType', 'ConvertedSalary']]" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "FormalEducation 2\n", + "UndergradMajor 11\n", + "SalaryType 50\n", + "ConvertedSalary 53\n", + "dtype: int64" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2.isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FormalEducation 0\n", + "UndergradMajor 3\n", + "SalaryType 5\n", + "ConvertedSalary 0\n", + "dtype: int64\n", + "(46, 4)\n" + ] + } + ], + "source": [ + "# Drop rows where ConvertedSalary is NA\n", + "df2 = df2.dropna(subset=['ConvertedSalary'])\n", + "\n", + "# Drop rows where both FormalEducation and UndergradMajor are NA\n", + "df2 = df2.dropna(subset=['FormalEducation', 'UndergradMajor'], how='all')\n", + "\n", + "# Display the first few rows to verify\n", + "print(df2.isna().sum())\n", + "print(df2.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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FormalEducationUndergradMajorSalaryTypeConvertedSalary
1Bachelor’s degree (BA, BS, B.Eng., etc.)A natural science (ex. biology, chemistry, phy...Yearly70841.0
4Some college/university study without earning ...Computer science, computer engineering, or sof...Yearly21426.0
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8Some college/university study without earning ...Fine arts or performing arts (ex. graphic desi...Yearly250000.0
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" + ], + "text/plain": [ + " FormalEducation \\\n", + "1 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "4 Some college/university study without earning ... \n", + "5 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "6 Some college/university study without earning ... \n", + "8 Some college/university study without earning ... \n", + "\n", + " UndergradMajor SalaryType \\\n", + "1 A natural science (ex. biology, chemistry, phy... Yearly \n", + "4 Computer science, computer engineering, or sof... Yearly \n", + "5 Computer science, computer engineering, or sof... NaN \n", + "6 Computer science, computer engineering, or sof... Yearly \n", + "8 Fine arts or performing arts (ex. graphic desi... Yearly \n", + "\n", + " ConvertedSalary \n", + "1 70841.0 \n", + "4 21426.0 \n", + "5 41671.0 \n", + "6 120000.0 \n", + "8 250000.0 " + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df3=df2.copy()\n", + "df3.head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(41, 4)" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2 = df2.dropna(subset=['SalaryType'])\n", + "df2.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "conversion_factors = {\n", + " 'Yearly': 1,\n", + " 'Monthly': 12,\n", + " 'Weekly': 52,\n", + " \n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "DATA ANALYSIS" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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FormalEducationUndergradMajorSalaryTypeConvertedSalaryNetSalary
1Bachelor’s degree (BA, BS, B.Eng., etc.)A natural science (ex. biology, chemistry, phy...Yearly70841.070841.0
4Some college/university study without earning ...Computer science, computer engineering, or sof...Yearly21426.021426.0
6Some college/university study without earning ...Computer science, computer engineering, or sof...Yearly120000.0120000.0
8Some college/university study without earning ...Fine arts or performing arts (ex. graphic desi...Yearly250000.0250000.0
14Secondary school (e.g. American high school, G...NaNMonthly0.00.0
17Master’s degree (MA, MS, M.Eng., MBA, etc.)A business discipline (ex. accounting, finance...Monthly47904.0574848.0
20Bachelor’s degree (BA, BS, B.Eng., etc.)Another engineering discipline (ex. civil, ele...Yearly95968.095968.0
22Bachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...Monthly420.05040.0
23Some college/university study without earning ...NaNYearly75000.075000.0
24Master’s degree (MA, MS, M.Eng., MBA, etc.)Computer science, computer engineering, or sof...Yearly10958.010958.0
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" + ], + "text/plain": [ + " FormalEducation \\\n", + "1 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "4 Some college/university study without earning ... \n", + "6 Some college/university study without earning ... \n", + "8 Some college/university study without earning ... \n", + "14 Secondary school (e.g. American high school, G... \n", + "17 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", + "20 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "22 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", + "23 Some college/university study without earning ... \n", + "24 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", + "\n", + " UndergradMajor SalaryType \\\n", + "1 A natural science (ex. biology, chemistry, phy... Yearly \n", + "4 Computer science, computer engineering, or sof... Yearly \n", + "6 Computer science, computer engineering, or sof... Yearly \n", + "8 Fine arts or performing arts (ex. graphic desi... Yearly \n", + "14 NaN Monthly \n", + "17 A business discipline (ex. accounting, finance... Monthly \n", + "20 Another engineering discipline (ex. civil, ele... Yearly \n", + "22 Computer science, computer engineering, or sof... Monthly \n", + "23 NaN Yearly \n", + "24 Computer science, computer engineering, or sof... Yearly \n", + "\n", + " ConvertedSalary NetSalary \n", + "1 70841.0 70841.0 \n", + "4 21426.0 21426.0 \n", + "6 120000.0 120000.0 \n", + "8 250000.0 250000.0 \n", + "14 0.0 0.0 \n", + "17 47904.0 574848.0 \n", + "20 95968.0 95968.0 \n", + "22 420.0 5040.0 \n", + "23 75000.0 75000.0 \n", + "24 10958.0 10958.0 " + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Function to convert salary to annual\n", + "def convert_to_annual(row):\n", + " salary_type = row['SalaryType']\n", + " salary = row['ConvertedSalary']\n", + " return salary * conversion_factors[salary_type]\n", + "\n", + "# Apply the function to each row\n", + "df2['NetSalary'] = df2.apply(convert_to_annual, axis=1)\n", + "\n", + "# Verify the results\n", + "df2.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " mean median \\\n", + "FormalEducation \n", + "Bachelor’s degree (BA, BS, B.Eng., etc.) 897724.866667 80000.0 \n", + "Master’s degree (MA, MS, M.Eng., MBA, etc.) 224084.800000 85708.0 \n", + "Secondary school (e.g. American high school, Ge... 0.000000 0.0 \n", + "Some college/university study without earning a... 407957.800000 252368.0 \n", + "\n", + " count \n", + "FormalEducation \n", + "Bachelor’s degree (BA, BS, B.Eng., etc.) 15 \n", + "Master’s degree (MA, MS, M.Eng., MBA, etc.) 15 \n", + "Secondary school (e.g. American high school, Ge... 1 \n", + "Some college/university study without earning a... 10 \n" + ] + } + ], + "source": [ + "# Average and median NetSalary by FormalEducation\n", + "education_salary_stats = df2.groupby('FormalEducation')['NetSalary'].agg(['mean', 'median', 'count'])\n", + "print(education_salary_stats)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " mean median \\\n", + "UndergradMajor \n", + "A business discipline (ex. accounting, finance,... 4.910880e+05 509472.0 \n", + "A humanities discipline (ex. literature, histor... 4.320000e+05 432000.0 \n", + "A natural science (ex. biology, chemistry, phys... 2.467880e+05 70841.0 \n", + "A social science (ex. anthropology, psychology,... 1.080000e+07 10800000.0 \n", + "Another engineering discipline (ex. civil, elec... 5.025752e+05 95968.0 \n", + "Computer science, computer engineering, or soft... 2.012078e+05 115000.0 \n", + "Fine arts or performing arts (ex. graphic desig... 2.500000e+05 250000.0 \n", + "Mathematics or statistics 8.264800e+04 82648.0 \n", + "Web development or web design 4.400000e+04 44000.0 \n", + "\n", + " count \n", + "UndergradMajor \n", + "A business discipline (ex. accounting, finance,... 3 \n", + "A humanities discipline (ex. literature, histor... 1 \n", + "A natural science (ex. biology, chemistry, phys... 3 \n", + "A social science (ex. anthropology, psychology,... 1 \n", + "Another engineering discipline (ex. civil, elec... 5 \n", + "Computer science, computer engineering, or soft... 22 \n", + "Fine arts or performing arts (ex. graphic desig... 1 \n", + "Mathematics or statistics 1 \n", + "Web development or web design 1 \n" + ] + } + ], + "source": [ + "\n", + "# Average and median NetSalary by UndergradMajor\n", + "major_salary_stats = df2.groupby('UndergradMajor')['NetSalary'].agg(['mean', 'median', 'count'])\n", + "major_salary_stats['mean'] = major_salary_stats['mean'].round(3)\n", + "print(major_salary_stats)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Box plot for NetSalary by FormalEducation\n", + "plt.figure(figsize=(30, 16))\n", + "sns.boxplot(x='FormalEducation', y='NetSalary', data=df2)\n", + "plt.xticks(rotation=90)\n", + "plt.title('NetSalary by FormalEducation')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Descriptive statistics\n", + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(x='FormalEducation', y='NetSalary', data=df2, estimator=np.mean)\n", + "plt.xticks(rotation=90)\n", + "plt.title('Mean NetSalary by FormalEducation')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Descriptive statistics\n", + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(x='FormalEducation', y='NetSalary', data=df2, estimator=np.median)\n", + "plt.xticks(rotation=90)\n", + "plt.title('Mean NetSalary by FormalEducation')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ANOVA for NetSalary by FormalEducation: F_onewayResult(statistic=0.43624509740464823, pvalue=0.7283596208876479)\n" + ] + } + ], + "source": [ + "# Statistical testing\n", + "import scipy.stats as stats\n", + "anova_education = stats.f_oneway(*(df2[df2['FormalEducation'] == edu]['NetSalary'] for edu in df2['FormalEducation'].unique()))\n", + "print('ANOVA for NetSalary by FormalEducation:', anova_education)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ANOVA for NetSalary by FormalEducation: F_onewayResult(statistic=0.43624509740464823, pvalue=0.7283596208876479)\n", + "\n", + "The ANOVA results suggest that there is no statistically significant difference in NetSalary across different levels of FormalEducation. This means that, based on the data, FormalEducation does not have a significant impact on NetSalary." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "High p-value (0.7284):\n", + "\n", + "The p-value of 0.7284 is much higher than 0.05.\n", + "This means there is a high probability that any differences in NetSalary between different FormalEducation levels are due to random chance rather than a true underlying effect.\n", + "In other words, we do not have enough evidence to reject the null hypothesis that the mean NetSalary is the same for all levels of FormalEducation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Low F-statistic (0.4362):\n", + "\n", + "The relatively low F-statistic suggests that the variance between the group means is not significantly greater than the variance within the groups." + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ANOVA for NetSalary by UndergradMajor: F_onewayResult(statistic=nan, pvalue=nan)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\scipy\\stats\\_stats_py.py:4133: DegenerateDataWarning: at least one input has length 0\n", + " warnings.warn(stats.DegenerateDataWarning('at least one input '\n" + ] + } + ], + "source": [ + "\n", + "anova_major = stats.f_oneway(*(df2[df2['UndergradMajor'] == major]['NetSalary'] for major in df2['UndergradMajor'].unique()))\n", + "print('ANOVA for NetSalary by UndergradMajor:', anova_major)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Series([], Name: NetSalary, dtype: int64)\n" + ] + } + ], + "source": [ + "# Check the count of NetSalary entries for each UndergradMajor\n", + "major_counts = df2.groupby('UndergradMajor')['NetSalary'].count()\n", + "print(major_counts[major_counts == 0])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "UndergradMajor\n", + "Computer science, computer engineering, or software engineering 22\n", + "Another engineering discipline (ex. civil, electrical, mechanical) 5\n", + "A natural science (ex. biology, chemistry, physics) 3\n", + "A business discipline (ex. accounting, finance, marketing) 3\n", + "Fine arts or performing arts (ex. graphic design, music, studio art) 1\n", + "A social science (ex. anthropology, psychology, political science) 1\n", + "Web development or web design 1\n", + "A humanities discipline (ex. literature, history, philosophy) 1\n", + "Mathematics or statistics 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Filter out UndergradMajor categories with no data\n", + "non_empty_majors = major_counts[major_counts > 0].index\n", + "df_filtered = df2[df2['UndergradMajor'].isin(non_empty_majors)]\n", + "df_filtered['UndergradMajor'].value_counts()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ANOVA for NetSalary by UndergradMajor: F_onewayResult(statistic=121.02161297389488, pvalue=3.62550573833004e-20)\n" + ] + } + ], + "source": [ + "import scipy.stats as stats\n", + "\n", + "# Perform ANOVA on the filtered data\n", + "anova_major = stats.f_oneway(*(df_filtered[df_filtered['UndergradMajor'] == major]['NetSalary'] for major in df_filtered['UndergradMajor'].unique()))\n", + "print('ANOVA for NetSalary by UndergradMajor:', anova_major)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ANOVA for NetSalary by UndergradMajor: F_onewayResult(statistic=121.02161297389488, pvalue=3.62550573833004e-20)\n", + "\n", + "The ANOVA results show that there is a statistically significant difference in NetSalary across different UndergradMajor categories. This means that the field of study in one's undergraduate education has a significant impact on their net salary." + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Multiple Comparison of Means - Tukey HSD, FWER=0.05 \n", + "===================================================================================================================================================================================================\n", + " group1 group2 meandiff p-adj lower upper reject\n", + "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + " A business discipline (ex. accounting, finance, marketing) A humanities discipline (ex. literature, history, philosophy) -59088.0 1.0 -1353139.969 1234963.969 False\n", + " A business discipline (ex. accounting, finance, marketing) A natural science (ex. biology, chemistry, physics) -244300.0 0.9916 -1159332.9225 670732.9225 False\n", + " A business discipline (ex. accounting, finance, marketing) A social science (ex. anthropology, psychology, political science) 10308912.0 0.0 9014860.031 11602963.969 True\n", + " A business discipline (ex. accounting, finance, marketing) Another engineering discipline (ex. civil, electrical, mechanical) 11487.2 1.0 -806943.1265 829917.5265 False\n", + " A business discipline (ex. accounting, finance, marketing) Computer science, computer engineering, or software engineering -289880.2273 0.8864 -979612.2442 399851.7897 False\n", + " A business discipline (ex. accounting, finance, marketing) Fine arts or performing arts (ex. graphic design, music, studio art) -241088.0 0.9993 -1535139.969 1052963.969 False\n", + " A business discipline (ex. accounting, finance, marketing) Mathematics or statistics -408440.0 0.9761 -1702491.969 885611.969 False\n", + " A business discipline (ex. accounting, finance, marketing) Web development or web design -447088.0 0.9595 -1741139.969 846963.969 False\n", + " A humanities discipline (ex. literature, history, philosophy) A natural science (ex. biology, chemistry, physics) -185212.0 0.9999 -1479263.969 1108839.969 False\n", + " A humanities discipline (ex. literature, history, philosophy) A social science (ex. anthropology, psychology, political science) 10368000.0 0.0 8783116.4877 11952883.5123 True\n", + " A humanities discipline (ex. literature, history, philosophy) Another engineering discipline (ex. civil, electrical, mechanical) 70575.2 1.0 -1157070.2898 1298220.6898 False\n", + " A humanities discipline (ex. literature, history, philosophy) Computer science, computer engineering, or software engineering -230792.2273 0.9988 -1376661.1135 915076.659 False\n", + " A humanities discipline (ex. literature, history, philosophy) Fine arts or performing arts (ex. graphic design, music, studio art) -182000.0 1.0 -1766883.5123 1402883.5123 False\n", + " A humanities discipline (ex. literature, history, philosophy) Mathematics or statistics -349352.0 0.9977 -1934235.5123 1235531.5123 False\n", + " A humanities discipline (ex. literature, history, philosophy) Web development or web design -388000.0 0.9953 -1972883.5123 1196883.5123 False\n", + " A natural science (ex. biology, chemistry, physics) A social science (ex. anthropology, psychology, political science) 10553212.0 0.0 9259160.031 11847263.969 True\n", + " A natural science (ex. biology, chemistry, physics) Another engineering discipline (ex. civil, electrical, mechanical) 255787.2 0.9775 -562643.1265 1074217.5265 False\n", + " A natural science (ex. biology, chemistry, physics) Computer science, computer engineering, or software engineering -45580.2273 1.0 -735312.2442 644151.7897 False\n", + " A natural science (ex. biology, chemistry, physics) Fine arts or performing arts (ex. graphic design, music, studio art) 3212.0 1.0 -1290839.969 1297263.969 False\n", + " A natural science (ex. biology, chemistry, physics) Mathematics or statistics -164140.0 1.0 -1458191.969 1129911.969 False\n", + " A natural science (ex. biology, chemistry, physics) Web development or web design -202788.0 0.9998 -1496839.969 1091263.969 False\n", + " A social science (ex. anthropology, psychology, political science) Another engineering discipline (ex. civil, electrical, mechanical) -10297424.8 0.0 -11525070.2898 -9069779.3102 True\n", + " A social science (ex. anthropology, psychology, political science) Computer science, computer engineering, or software engineering -10598792.2273 0.0 -11744661.1135 -9452923.341 True\n", + " A social science (ex. anthropology, psychology, political science) Fine arts or performing arts (ex. graphic design, music, studio art) -10550000.0 0.0 -12134883.5123 -8965116.4877 True\n", + " A social science (ex. anthropology, psychology, political science) Mathematics or statistics -10717352.0 0.0 -12302235.5123 -9132468.4877 True\n", + " A social science (ex. anthropology, psychology, political science) Web development or web design -10756000.0 0.0 -12340883.5123 -9171116.4877 True\n", + " Another engineering discipline (ex. civil, electrical, mechanical) Computer science, computer engineering, or software engineering -301367.4273 0.6718 -856590.9907 253856.1362 False\n", + " Another engineering discipline (ex. civil, electrical, mechanical) Fine arts or performing arts (ex. graphic design, music, studio art) -252575.2 0.9986 -1480220.6898 975070.2898 False\n", + " Another engineering discipline (ex. civil, electrical, mechanical) Mathematics or statistics -419927.2 0.9617 -1647572.6898 807718.2898 False\n", + " Another engineering discipline (ex. civil, electrical, mechanical) Web development or web design -458575.2 0.9377 -1686220.6898 769070.2898 False\n", + " Computer science, computer engineering, or software engineering Fine arts or performing arts (ex. graphic design, music, studio art) 48792.2273 1.0 -1097076.659 1194661.1135 False\n", + " Computer science, computer engineering, or software engineering Mathematics or statistics -118559.7727 1.0 -1264428.659 1027309.1135 False\n", + " Computer science, computer engineering, or software engineering Web development or web design -157207.7727 0.9999 -1303076.659 988661.1135 False\n", + "Fine arts or performing arts (ex. graphic design, music, studio art) Mathematics or statistics -167352.0 1.0 -1752235.5123 1417531.5123 False\n", + "Fine arts or performing arts (ex. graphic design, music, studio art) Web development or web design -206000.0 1.0 -1790883.5123 1378883.5123 False\n", + " Mathematics or statistics Web development or web design -38648.0 1.0 -1623531.5123 1546235.5123 False\n", + "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n" + ] + } + ], + "source": [ + "import statsmodels.api as sm\n", + "from statsmodels.stats.multicomp import pairwise_tukeyhsd\n", + "\n", + "# Perform Tukey's HSD test\n", + "tukey = pairwise_tukeyhsd(endog=df_filtered['NetSalary'], groups=df_filtered['UndergradMajor'], alpha=0.05)\n", + "\n", + "# Print the results\n", + "print(tukey)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 8))\n", + "sns.boxplot(x='UndergradMajor', y='NetSalary', data=df2)\n", + "plt.xticks(rotation=90)\n", + "plt.title('NetSalary by UndergradMajor')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(x='UndergradMajor', y='NetSalary', data=df2, estimator=np.mean)\n", + "plt.xticks(rotation=90)\n", + "plt.title('Mean NetSalary by UndergradMajor')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 6))\n", + "sns.boxplot(x='UndergradMajor', y='NetSalary', data=df2)\n", + "plt.xticks(rotation=90)\n", + "plt.title('NetSalary by UndergradMajor')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Performing Two-Way ANOVA\n", + "\n", + "To examine the combined effect of FormalEducation and UndergradMajor on NetSalary" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " sum_sq df F \\\n", + "C(FormalEducation) NaN 2.0 NaN \n", + "C(UndergradMajor) 4.055982e+13 8.0 62.790226 \n", + "C(FormalEducation):C(UndergradMajor) 2.777680e+12 16.0 2.150049 \n", + "Residual 1.776383e+12 22.0 NaN \n", + "\n", + " PR(>F) \n", + "C(FormalEducation) NaN \n", + "C(UndergradMajor) 8.078530e-10 \n", + "C(FormalEducation):C(UndergradMajor) 8.046444e-02 \n", + "Residual NaN \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\statsmodels\\base\\model.py:1894: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 2, but rank is 0\n", + " warnings.warn('covariance of constraints does not have full '\n", + "c:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\statsmodels\\base\\model.py:1923: RuntimeWarning: invalid value encountered in divide\n", + " F /= J\n", + "c:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\statsmodels\\base\\model.py:1894: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 8, but rank is 2\n", + " warnings.warn('covariance of constraints does not have full '\n", + "c:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\statsmodels\\base\\model.py:1894: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 16, but rank is 7\n", + " warnings.warn('covariance of constraints does not have full '\n" + ] + } + ], + "source": [ + "import statsmodels.api as sm\n", + "from statsmodels.formula.api import ols\n", + "from statsmodels.stats.anova import anova_lm\n", + "\n", + "# Define the model\n", + "model = ols('NetSalary ~ C(FormalEducation) * C(UndergradMajor)', data=df_filtered).fit()\n", + "\n", + "# Perform ANOVA\n", + "anova_results = anova_lm(model, typ=2)\n", + "print(anova_results)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Temp\\ipykernel_2732\\4017900835.py:5: FutureWarning: \n", + "\n", + "The `errwidth` parameter is deprecated. And will be removed in v0.15.0. Pass `err_kws={'linewidth': 1}` instead.\n", + "\n", + " sns.pointplot(data=df_filtered, x='FormalEducation', y='NetSalary', hue='UndergradMajor', dodge=True, markers=[\"o\", \"s\", \"D\", \"^\", \"v\", \"p\", \"h\", \"*\", \"P\"], capsize=.1, errwidth=1, palette=\"colorblind\")\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "plt.figure(figsize=(12, 8))\n", + "sns.pointplot(data=df_filtered, x='FormalEducation', y='NetSalary', hue='UndergradMajor', dodge=True, markers=[\"o\", \"s\", \"D\", \"^\", \"v\", \"p\", \"h\", \"*\", \"P\"], capsize=.1, errwidth=1, palette=\"colorblind\")\n", + "plt.xticks(rotation=90)\n", + "plt.title('Interaction between FormalEducation and UndergradMajor on NetSalary')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "YearsCodingProf\n", + "3-5 years 26\n", + "0-2 years 22\n", + "6-8 years 12\n", + "9-11 years 9\n", + "12-14 years 6\n", + "18-20 years 3\n", + "21-23 years 3\n", + "24-26 years 2\n", + "15-17 years 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['YearsCodingProf'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "Could not interpret value `AvgSalary` for `y`. An entry with this name does not appear in `data`.", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[76], line 18\u001b[0m\n\u001b[0;32m 16\u001b[0m \u001b[38;5;66;03m# Scatter plot\u001b[39;00m\n\u001b[0;32m 17\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m10\u001b[39m, \u001b[38;5;241m6\u001b[39m))\n\u001b[1;32m---> 18\u001b[0m \u001b[43msns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mscatterplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mExperienceOrdinal\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mAvgSalary\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdf\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 19\u001b[0m plt\u001b[38;5;241m.\u001b[39mxticks(ticks\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39marange(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m10\u001b[39m), labels\u001b[38;5;241m=\u001b[39mexperience_mapping\u001b[38;5;241m.\u001b[39mkeys(), rotation\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m45\u001b[39m)\n\u001b[0;32m 20\u001b[0m plt\u001b[38;5;241m.\u001b[39mxlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mYears of Coding Experience\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", + "File \u001b[1;32mc:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\relational.py:615\u001b[0m, in \u001b[0;36mscatterplot\u001b[1;34m(data, x, y, hue, size, style, palette, hue_order, hue_norm, sizes, size_order, size_norm, markers, style_order, legend, ax, **kwargs)\u001b[0m\n\u001b[0;32m 606\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mscatterplot\u001b[39m(\n\u001b[0;32m 607\u001b[0m data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m,\n\u001b[0;32m 608\u001b[0m x\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, y\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, hue\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, size\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, style\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 612\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[0;32m 613\u001b[0m ):\n\u001b[1;32m--> 615\u001b[0m p \u001b[38;5;241m=\u001b[39m \u001b[43m_ScatterPlotter\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 616\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 617\u001b[0m \u001b[43m \u001b[49m\u001b[43mvariables\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mdict\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhue\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhue\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msize\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstyle\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstyle\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 618\u001b[0m \u001b[43m \u001b[49m\u001b[43mlegend\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlegend\u001b[49m\n\u001b[0;32m 619\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 621\u001b[0m p\u001b[38;5;241m.\u001b[39mmap_hue(palette\u001b[38;5;241m=\u001b[39mpalette, order\u001b[38;5;241m=\u001b[39mhue_order, norm\u001b[38;5;241m=\u001b[39mhue_norm)\n\u001b[0;32m 622\u001b[0m p\u001b[38;5;241m.\u001b[39mmap_size(sizes\u001b[38;5;241m=\u001b[39msizes, order\u001b[38;5;241m=\u001b[39msize_order, norm\u001b[38;5;241m=\u001b[39msize_norm)\n", + "File \u001b[1;32mc:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\relational.py:396\u001b[0m, in \u001b[0;36m_ScatterPlotter.__init__\u001b[1;34m(self, data, variables, legend)\u001b[0m\n\u001b[0;32m 387\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, variables\u001b[38;5;241m=\u001b[39m{}, legend\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m 388\u001b[0m \n\u001b[0;32m 389\u001b[0m \u001b[38;5;66;03m# TODO this is messy, we want the mapping to be agnostic about\u001b[39;00m\n\u001b[0;32m 390\u001b[0m \u001b[38;5;66;03m# the kind of plot to draw, but for the time being we need to set\u001b[39;00m\n\u001b[0;32m 391\u001b[0m \u001b[38;5;66;03m# this information so the SizeMapping can use it\u001b[39;00m\n\u001b[0;32m 392\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_default_size_range \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m 393\u001b[0m np\u001b[38;5;241m.\u001b[39mr_[\u001b[38;5;241m.5\u001b[39m, \u001b[38;5;241m2\u001b[39m] \u001b[38;5;241m*\u001b[39m np\u001b[38;5;241m.\u001b[39msquare(mpl\u001b[38;5;241m.\u001b[39mrcParams[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlines.markersize\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[0;32m 394\u001b[0m )\n\u001b[1;32m--> 396\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvariables\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvariables\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 398\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlegend \u001b[38;5;241m=\u001b[39m legend\n", + "File \u001b[1;32mc:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\_base.py:634\u001b[0m, in \u001b[0;36mVectorPlotter.__init__\u001b[1;34m(self, data, variables)\u001b[0m\n\u001b[0;32m 629\u001b[0m \u001b[38;5;66;03m# var_ordered is relevant only for categorical axis variables, and may\u001b[39;00m\n\u001b[0;32m 630\u001b[0m \u001b[38;5;66;03m# be better handled by an internal axis information object that tracks\u001b[39;00m\n\u001b[0;32m 631\u001b[0m \u001b[38;5;66;03m# such information and is set up by the scale_* methods. The analogous\u001b[39;00m\n\u001b[0;32m 632\u001b[0m \u001b[38;5;66;03m# information for numeric axes would be information about log scales.\u001b[39;00m\n\u001b[0;32m 633\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_var_ordered \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;28;01mFalse\u001b[39;00m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;28;01mFalse\u001b[39;00m} \u001b[38;5;66;03m# alt., used DefaultDict\u001b[39;00m\n\u001b[1;32m--> 634\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massign_variables\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvariables\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 636\u001b[0m \u001b[38;5;66;03m# TODO Lots of tests assume that these are called to initialize the\u001b[39;00m\n\u001b[0;32m 637\u001b[0m \u001b[38;5;66;03m# mappings to default values on class initialization. I'd prefer to\u001b[39;00m\n\u001b[0;32m 638\u001b[0m \u001b[38;5;66;03m# move away from that and only have a mapping when explicitly called.\u001b[39;00m\n\u001b[0;32m 639\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m var \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhue\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msize\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstyle\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n", + "File \u001b[1;32mc:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\_base.py:679\u001b[0m, in \u001b[0;36mVectorPlotter.assign_variables\u001b[1;34m(self, data, variables)\u001b[0m\n\u001b[0;32m 674\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 675\u001b[0m \u001b[38;5;66;03m# When dealing with long-form input, use the newer PlotData\u001b[39;00m\n\u001b[0;32m 676\u001b[0m \u001b[38;5;66;03m# object (internal but introduced for the objects interface)\u001b[39;00m\n\u001b[0;32m 677\u001b[0m \u001b[38;5;66;03m# to centralize / standardize data consumption logic.\u001b[39;00m\n\u001b[0;32m 678\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minput_format \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlong\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 679\u001b[0m plot_data \u001b[38;5;241m=\u001b[39m \u001b[43mPlotData\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvariables\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 680\u001b[0m frame \u001b[38;5;241m=\u001b[39m plot_data\u001b[38;5;241m.\u001b[39mframe\n\u001b[0;32m 681\u001b[0m names \u001b[38;5;241m=\u001b[39m plot_data\u001b[38;5;241m.\u001b[39mnames\n", + "File \u001b[1;32mc:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\_core\\data.py:58\u001b[0m, in \u001b[0;36mPlotData.__init__\u001b[1;34m(self, data, variables)\u001b[0m\n\u001b[0;32m 51\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\n\u001b[0;32m 52\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 53\u001b[0m data: DataSource,\n\u001b[0;32m 54\u001b[0m variables: \u001b[38;5;28mdict\u001b[39m[\u001b[38;5;28mstr\u001b[39m, VariableSpec],\n\u001b[0;32m 55\u001b[0m ):\n\u001b[0;32m 57\u001b[0m data \u001b[38;5;241m=\u001b[39m handle_data_source(data)\n\u001b[1;32m---> 58\u001b[0m frame, names, ids \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_assign_variables\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvariables\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 60\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mframe \u001b[38;5;241m=\u001b[39m frame\n\u001b[0;32m 61\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnames \u001b[38;5;241m=\u001b[39m names\n", + "File \u001b[1;32mc:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\_core\\data.py:232\u001b[0m, in \u001b[0;36mPlotData._assign_variables\u001b[1;34m(self, data, variables)\u001b[0m\n\u001b[0;32m 230\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 231\u001b[0m err \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAn entry with this name does not appear in `data`.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 232\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(err)\n\u001b[0;32m 234\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 235\u001b[0m \n\u001b[0;32m 236\u001b[0m \u001b[38;5;66;03m# Otherwise, assume the value somehow represents data\u001b[39;00m\n\u001b[0;32m 237\u001b[0m \n\u001b[0;32m 238\u001b[0m \u001b[38;5;66;03m# Ignore empty data structures\u001b[39;00m\n\u001b[0;32m 239\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(val, Sized) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(val) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n", + "\u001b[1;31mValueError\u001b[0m: Could not interpret value `AvgSalary` for `y`. An entry with this name does not appear in `data`." + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.linear_model import LinearRegression\n", + "import matplotlib.pyplot as plt\n", + "experience_mapping = {\n", + " '0-2 years': 1,\n", + " '3-5 years': 2,\n", + " '6-8 years': 3,\n", + " '9-11 years': 4,\n", + " '12-14 years': 5,\n", + " '15-17 years': 6,\n", + " '18-20 years': 7,\n", + " '21-23 years': 8,\n", + " '24-26 years': 9\n", + "}\n", + "df['ExperienceOrdinal'] = df['YearsCodingProf'].map(experience_mapping)\n", + "\n", + "# Scatter plot\n", + "plt.figure(figsize=(10, 6))\n", + "sns.scatterplot(x='ExperienceOrdinal', y='AvgSalary', data=df)\n", + "plt.xticks(ticks=np.arange(1, 10), labels=experience_mapping.keys(), rotation=45)\n", + "plt.xlabel('Years of Coding Experience')\n", + "plt.ylabel('Average Salary')\n", + "plt.title('Scatter Plot of Salary vs. Coding Experience')\n", + "plt.show()\n", + "\n", + "# Linear regression\n", + "X = df[['ExperienceOrdinal']]\n", + "y = df['AvgSalary']\n", + "reg = LinearRegression().fit(X, y)\n", + "df['PredictedSalary'] = reg.predict(X)\n", + "\n", + "# Plot regression line\n", + "plt.figure(figsize=(10, 6))\n", + "sns.scatterplot(x='ExperienceOrdinal', y='AvgSalary', data=df)\n", + "plt.plot(df['ExperienceOrdinal'], df['PredictedSalary'], color='red', linewidth=2)\n", + "plt.xticks(ticks=np.arange(1, 10), labels=experience_mapping.keys(), rotation=45)\n", + "plt.xlabel('Years of Coding Experience')\n", + "plt.ylabel('Average Salary')\n", + "plt.title('Linear Regression: Salary vs. Coding Experience')\n", + "plt.show()\n", + "\n", + "# Correlation coefficient\n", + "correlation = df['ExperienceOrdinal'].corr(df['AvgSalary'])\n", + "print(f\"Correlation coefficient: {correlation:.2f}\")\n", + "\n", + "# Regression coefficients\n", + "print(f\"Intercept: {reg.intercept_:.2f}\")\n", + "print(f\"Coefficient: {reg.coef_[0]:.2f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From ed90e639a1c99773e6ea805d6946ab01095a7cc1 Mon Sep 17 00:00:00 2001 From: Nidhi Satyapriya Date: Mon, 15 Jul 2024 15:40:55 +0530 Subject: [PATCH 2/3] HigherEducation Vs Salary Analysis: added a conclusion --- HigherEduVsSalary.ipynb | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/HigherEduVsSalary.ipynb b/HigherEduVsSalary.ipynb index e77a8e6..9593208 100644 --- a/HigherEduVsSalary.ipynb +++ b/HigherEduVsSalary.ipynb @@ -3154,7 +3154,8 @@ "\n", " a) 1-2 Years: Significant clustering with generally lower financial outcomes, reflected by a concentration of dots in the lower part of the scatter plots.\n", " \n", - " b) Higher Experience Levels: More spread out and possibly higher dots, indicating variability and potential improvement in financial metrics with more experience." + " b) Higher Experience Levels: More spread out and possibly higher dots, indicating variability and potential improvement in financial metrics with more experience.\n", + "7) Thus, we can conclude that the salary doesn't only depend upon the Higher Education of an individual, but also on the current market trends and industrial needs and experience. Based on these several parameters, an insight into the Salary of individuals have been provided." ] }, { From b6373b8915038528871b593306ae87ff89f6f118 Mon Sep 17 00:00:00 2001 From: Nidhi Satyapriya Date: Sat, 20 Jul 2024 09:09:37 +0530 Subject: [PATCH 3/3] made the suggested changes --- .../HigherEduVsSalary-checkpoint.ipynb | 1706 ----------------- .../HigherEduVsSalary.ipynb | 8 +- 2 files changed, 4 insertions(+), 1710 deletions(-) delete mode 100644 backlog/.ipynb_checkpoints/HigherEduVsSalary-checkpoint.ipynb rename HigherEduVsSalary.ipynb => backlog/HigherEduVsSalary.ipynb (99%) diff --git a/backlog/.ipynb_checkpoints/HigherEduVsSalary-checkpoint.ipynb b/backlog/.ipynb_checkpoints/HigherEduVsSalary-checkpoint.ipynb deleted file mode 100644 index 8d0a099..0000000 --- a/backlog/.ipynb_checkpoints/HigherEduVsSalary-checkpoint.ipynb +++ /dev/null @@ -1,1706 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Higher Education Vs Salary Of Developers: EDA and Analysis\n", - " Stack_Overflow 2018 Dataset\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Introduction\n", - "This feature aims to analyze the correlation between higher education levels and the salaries of developers surveyed in 2018. The analysis will help understand how different educational qualifications influence earning potential in the developer community." - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [], - "source": [ - "#importing modules\n", - "import numpy as np \n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "%matplotlib inline\n", - "import seaborn as sns" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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RespondentHobbyOpenSourceCountryStudentEmploymentFormalEducationUndergradMajorCompanySizeDevType...ExerciseGenderSexualOrientationEducationParentsRaceEthnicityAgeDependentsMilitaryUSSurveyTooLongSurveyEasy
01YesNoKenyaNoEmployed part-timeBachelor’s degree (BA, BS, B.Eng., etc.)Mathematics or statistics20 to 99 employeesFull-stack developer...3 - 4 times per weekMaleStraight or heterosexualBachelor’s degree (BA, BS, B.Eng., etc.)Black or of African descent25 - 34 years oldYesNaNThe survey was an appropriate lengthVery easy
13YesYesUnited KingdomNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)A natural science (ex. biology, chemistry, phy...10,000 or more employeesDatabase administrator;DevOps specialist;Full-......Daily or almost every dayMaleStraight or heterosexualBachelor’s degree (BA, BS, B.Eng., etc.)White or of European descent35 - 44 years oldYesNaNThe survey was an appropriate lengthSomewhat easy
24YesYesUnited StatesNoEmployed full-timeAssociate degreeComputer science, computer engineering, or sof...20 to 99 employeesEngineering manager;Full-stack developer...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
35NoNoUnited StatesNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...100 to 499 employeesFull-stack developer...I don't typically exerciseMaleStraight or heterosexualSome college/university study without earning ...White or of European descent35 - 44 years oldNoNoThe survey was an appropriate lengthSomewhat easy
47YesNoSouth AfricaYes, part-timeEmployed full-timeSome college/university study without earning ...Computer science, computer engineering, or sof...10,000 or more employeesData or business analyst;Desktop or enterprise......3 - 4 times per weekMaleStraight or heterosexualSome college/university study without earning ...White or of European descent18 - 24 years oldYesNaNThe survey was an appropriate lengthSomewhat easy
58YesNoUnited KingdomNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...10 to 19 employeesBack-end developer;Database administrator;Fron......1 - 2 times per weekMaleStraight or heterosexualSecondary school (e.g. American high school, G...White or of European descent18 - 24 years oldNoNaNThe survey was an appropriate lengthSomewhat easy
69YesYesUnited StatesNoEmployed full-timeSome college/university study without earning ...Computer science, computer engineering, or sof...10,000 or more employeesBack-end developer;Front-end developer;Full-st......I don't typically exerciseMaleStraight or heterosexualMaster’s degree (MA, MS, M.Eng., MBA, etc.)White or of European descent18 - 24 years oldNoNoThe survey was an appropriate lengthSomewhat easy
710YesYesNigeriaNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...10 to 19 employeesDesigner;Front-end developer;QA or test developer...1 - 2 times per weekFemaleNaNPrimary/elementary schoolBlack or of African descent25 - 34 years oldNoNaNThe survey was too longSomewhat difficult
811YesYesUnited StatesNoEmployed full-timeSome college/university study without earning ...Fine arts or performing arts (ex. graphic desi...100 to 499 employeesBack-end developer;C-suite executive (CEO, CTO......I don't typically exerciseMaleStraight or heterosexualSome college/university study without earning ...White or of European descent35 - 44 years oldYesNoThe survey was an appropriate lengthVery easy
916NoYesIndiaNoEmployed full-timeBachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...500 to 999 employeesDesigner...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
\n", - "

10 rows × 129 columns

\n", - "
" - ], - "text/plain": [ - " Respondent Hobby OpenSource Country Student \\\n", - "0 1 Yes No Kenya No \n", - "1 3 Yes Yes United Kingdom No \n", - "2 4 Yes Yes United States No \n", - "3 5 No No United States No \n", - "4 7 Yes No South Africa Yes, part-time \n", - "5 8 Yes No United Kingdom No \n", - "6 9 Yes Yes United States No \n", - "7 10 Yes Yes Nigeria No \n", - "8 11 Yes Yes United States No \n", - "9 16 No Yes India No \n", - "\n", - " Employment FormalEducation \\\n", - "0 Employed part-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "1 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "2 Employed full-time Associate degree \n", - "3 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "4 Employed full-time Some college/university study without earning ... \n", - "5 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "6 Employed full-time Some college/university study without earning ... \n", - "7 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "8 Employed full-time Some college/university study without earning ... \n", - "9 Employed full-time Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "\n", - " UndergradMajor \\\n", - "0 Mathematics or statistics \n", - "1 A natural science (ex. biology, chemistry, phy... \n", - "2 Computer science, computer engineering, or sof... \n", - "3 Computer science, computer engineering, or sof... \n", - "4 Computer science, computer engineering, or sof... \n", - "5 Computer science, computer engineering, or sof... \n", - "6 Computer science, computer engineering, or sof... \n", - "7 Computer science, computer engineering, or sof... \n", - "8 Fine arts or performing arts (ex. graphic desi... \n", - "9 Computer science, computer engineering, or sof... \n", - "\n", - " CompanySize \\\n", - "0 20 to 99 employees \n", - "1 10,000 or more employees \n", - "2 20 to 99 employees \n", - "3 100 to 499 employees \n", - "4 10,000 or more employees \n", - "5 10 to 19 employees \n", - "6 10,000 or more employees \n", - "7 10 to 19 employees \n", - "8 100 to 499 employees \n", - "9 500 to 999 employees \n", - "\n", - " DevType ... \\\n", - "0 Full-stack developer ... \n", - "1 Database administrator;DevOps specialist;Full-... ... \n", - "2 Engineering manager;Full-stack developer ... \n", - "3 Full-stack developer ... \n", - "4 Data or business analyst;Desktop or enterprise... ... \n", - "5 Back-end developer;Database administrator;Fron... ... \n", - "6 Back-end developer;Front-end developer;Full-st... ... \n", - "7 Designer;Front-end developer;QA or test developer ... \n", - "8 Back-end developer;C-suite executive (CEO, CTO... ... \n", - "9 Designer ... \n", - "\n", - " Exercise Gender SexualOrientation \\\n", - "0 3 - 4 times per week Male Straight or heterosexual \n", - "1 Daily or almost every day Male Straight or heterosexual \n", - "2 NaN NaN NaN \n", - "3 I don't typically exercise Male Straight or heterosexual \n", - "4 3 - 4 times per week Male Straight or heterosexual \n", - "5 1 - 2 times per week Male Straight or heterosexual \n", - "6 I don't typically exercise Male Straight or heterosexual \n", - "7 1 - 2 times per week Female NaN \n", - "8 I don't typically exercise Male Straight or heterosexual \n", - "9 NaN NaN NaN \n", - "\n", - " EducationParents \\\n", - "0 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "1 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "2 NaN \n", - "3 Some college/university study without earning ... \n", - "4 Some college/university study without earning ... \n", - "5 Secondary school (e.g. American high school, G... \n", - "6 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", - "7 Primary/elementary school \n", - "8 Some college/university study without earning ... \n", - "9 NaN \n", - "\n", - " RaceEthnicity Age Dependents MilitaryUS \\\n", - "0 Black or of African descent 25 - 34 years old Yes NaN \n", - "1 White or of European descent 35 - 44 years old Yes NaN \n", - "2 NaN NaN NaN NaN \n", - "3 White or of European descent 35 - 44 years old No No \n", - "4 White or of European descent 18 - 24 years old Yes NaN \n", - "5 White or of European descent 18 - 24 years old No NaN \n", - "6 White or of European descent 18 - 24 years old No No \n", - "7 Black or of African descent 25 - 34 years old No NaN \n", - "8 White or of European descent 35 - 44 years old Yes No \n", - "9 NaN NaN NaN NaN \n", - "\n", - " SurveyTooLong SurveyEasy \n", - "0 The survey was an appropriate length Very easy \n", - "1 The survey was an appropriate length Somewhat easy \n", - "2 NaN NaN \n", - "3 The survey was an appropriate length Somewhat easy \n", - "4 The survey was an appropriate length Somewhat easy \n", - "5 The survey was an appropriate length Somewhat easy \n", - "6 The survey was an appropriate length Somewhat easy \n", - "7 The survey was too long Somewhat difficult \n", - "8 The survey was an appropriate length Very easy \n", - "9 NaN NaN \n", - "\n", - "[10 rows x 129 columns]" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df=pd.read_csv(\"../Data/survey_results_sample_2018.csv\") #data loading\n", - "df.head(10)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Data Exploration" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(99, 129)\n" - ] - } - ], - "source": [ - "print(df.shape)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Respondent int64\n", - "Hobby object\n", - "OpenSource object\n", - "Country object\n", - "Student object\n", - " ... \n", - "Age object\n", - "Dependents object\n", - "MilitaryUS object\n", - "SurveyTooLong object\n", - "SurveyEasy object\n", - "Length: 129, dtype: object" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.dtypes" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['Respondent', 'Hobby', 'OpenSource', 'Country', 'Student', 'Employment', 'FormalEducation', 'UndergradMajor', 'CompanySize', 'DevType', 'YearsCoding', 'YearsCodingProf', 'JobSatisfaction', 'CareerSatisfaction', 'HopeFiveYears', 'JobSearchStatus', 'LastNewJob', 'AssessJob1', 'AssessJob2', 'AssessJob3', 'AssessJob4', 'AssessJob5', 'AssessJob6', 'AssessJob7', 'AssessJob8', 'AssessJob9', 'AssessJob10', 'AssessBenefits1', 'AssessBenefits2', 'AssessBenefits3', 'AssessBenefits4', 'AssessBenefits5', 'AssessBenefits6', 'AssessBenefits7', 'AssessBenefits8', 'AssessBenefits9', 'AssessBenefits10', 'AssessBenefits11', 'JobContactPriorities1', 'JobContactPriorities2', 'JobContactPriorities3', 'JobContactPriorities4', 'JobContactPriorities5', 'JobEmailPriorities1', 'JobEmailPriorities2', 'JobEmailPriorities3', 'JobEmailPriorities4', 'JobEmailPriorities5', 'JobEmailPriorities6', 'JobEmailPriorities7', 'UpdateCV', 'Currency', 'Salary', 'SalaryType', 'ConvertedSalary', 'CurrencySymbol', 'CommunicationTools', 'TimeFullyProductive', 'EducationTypes', 'SelfTaughtTypes', 'TimeAfterBootcamp', 'HackathonReasons', 'AgreeDisagree1', 'AgreeDisagree2', 'AgreeDisagree3', 'LanguageWorkedWith', 'LanguageDesireNextYear', 'DatabaseWorkedWith', 'DatabaseDesireNextYear', 'PlatformWorkedWith', 'PlatformDesireNextYear', 'FrameworkWorkedWith', 'FrameworkDesireNextYear', 'IDE', 'OperatingSystem', 'NumberMonitors', 'Methodology', 'VersionControl', 'CheckInCode', 'AdBlocker', 'AdBlockerDisable', 'AdBlockerReasons', 'AdsAgreeDisagree1', 'AdsAgreeDisagree2', 'AdsAgreeDisagree3', 'AdsActions', 'AdsPriorities1', 'AdsPriorities2', 'AdsPriorities3', 'AdsPriorities4', 'AdsPriorities5', 'AdsPriorities6', 'AdsPriorities7', 'AIDangerous', 'AIInteresting', 'AIResponsible', 'AIFuture', 'EthicsChoice', 'EthicsReport', 'EthicsResponsible', 'EthicalImplications', 'StackOverflowRecommend', 'StackOverflowVisit', 'StackOverflowHasAccount', 'StackOverflowParticipate', 'StackOverflowJobs', 'StackOverflowDevStory', 'StackOverflowJobsRecommend', 'StackOverflowConsiderMember', 'HypotheticalTools1', 'HypotheticalTools2', 'HypotheticalTools3', 'HypotheticalTools4', 'HypotheticalTools5', 'WakeTime', 'HoursComputer', 'HoursOutside', 'SkipMeals', 'ErgonomicDevices', 'Exercise', 'Gender', 'SexualOrientation', 'EducationParents', 'RaceEthnicity', 'Age', 'Dependents', 'MilitaryUS', 'SurveyTooLong', 'SurveyEasy']\n" - ] - } - ], - "source": [ - "print(df.columns.tolist())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Parameters Relevant to our Analysis: Initial Observation\n", - "'FormalEducation' , 'UndergradMajor', 'SalaryType', 'ConvertedSalary', " - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "SalaryType\n", - "Monthly 26\n", - "Yearly 22\n", - "Weekly 1\n", - "Name: count, dtype: int64" - ] - }, - "execution_count": 45, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df['SalaryType'].value_counts()" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "UndergradMajor\n", - "Computer science, computer engineering, or software engineering 56\n", - "A natural science (ex. biology, chemistry, physics) 7\n", - "Another engineering discipline (ex. civil, electrical, mechanical) 7\n", - "A business discipline (ex. accounting, finance, marketing) 5\n", - "Fine arts or performing arts (ex. graphic design, music, studio art) 4\n", - "Information systems, information technology, or system administration 3\n", - "Mathematics or statistics 2\n", - "Web development or web design 2\n", - "A social science (ex. anthropology, psychology, political science) 1\n", - "A humanities discipline (ex. literature, history, philosophy) 1\n", - "Name: count, dtype: int64" - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df['UndergradMajor'].value_counts()" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "FormalEducation\n", - "Bachelor’s degree (BA, BS, B.Eng., etc.) 44\n", - "Master’s degree (MA, MS, M.Eng., MBA, etc.) 29\n", - "Some college/university study without earning a degree 17\n", - "Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.) 4\n", - "Associate degree 3\n", - "Name: count, dtype: int64" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df['FormalEducation'].value_counts()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Data Cleaning" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "FormalEducation 2\n", - "UndergradMajor 11\n", - "SalaryType 50\n", - "ConvertedSalary 53\n", - "dtype: int64\n" - ] - } - ], - "source": [ - "\n", - "print(df[['FormalEducation', 'UndergradMajor', 'SalaryType', 'ConvertedSalary']].isnull().sum())" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [], - "source": [ - "df2= df[['FormalEducation', 'UndergradMajor', 'SalaryType', 'ConvertedSalary']]" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "FormalEducation 2\n", - "UndergradMajor 11\n", - "SalaryType 50\n", - "ConvertedSalary 53\n", - "dtype: int64" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df2.isna().sum()" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "FormalEducation 0\n", - "UndergradMajor 3\n", - "SalaryType 5\n", - "ConvertedSalary 0\n", - "dtype: int64\n", - "(46, 4)\n" - ] - } - ], - "source": [ - "# Drop rows where ConvertedSalary is NA\n", - "df2 = df2.dropna(subset=['ConvertedSalary'])\n", - "\n", - "# Drop rows where both FormalEducation and UndergradMajor are NA\n", - "df2 = df2.dropna(subset=['FormalEducation', 'UndergradMajor'], how='all')\n", - "\n", - "# Display the first few rows to verify\n", - "print(df2.isna().sum())\n", - "print(df2.shape)" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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FormalEducationUndergradMajorSalaryTypeConvertedSalary
1Bachelor’s degree (BA, BS, B.Eng., etc.)A natural science (ex. biology, chemistry, phy...Yearly70841.0
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6Some college/university study without earning ...Computer science, computer engineering, or sof...Yearly120000.0
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" - ], - "text/plain": [ - " FormalEducation \\\n", - "1 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "4 Some college/university study without earning ... \n", - "5 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "6 Some college/university study without earning ... \n", - "8 Some college/university study without earning ... \n", - "\n", - " UndergradMajor SalaryType \\\n", - "1 A natural science (ex. biology, chemistry, phy... Yearly \n", - "4 Computer science, computer engineering, or sof... Yearly \n", - "5 Computer science, computer engineering, or sof... NaN \n", - "6 Computer science, computer engineering, or sof... Yearly \n", - "8 Fine arts or performing arts (ex. graphic desi... Yearly \n", - "\n", - " ConvertedSalary \n", - "1 70841.0 \n", - "4 21426.0 \n", - "5 41671.0 \n", - "6 120000.0 \n", - "8 250000.0 " - ] - }, - "execution_count": 52, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df3=df2.copy()\n", - "df3.head(5)" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(41, 4)" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df2 = df2.dropna(subset=['SalaryType'])\n", - "df2.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [], - "source": [ - "conversion_factors = {\n", - " 'Yearly': 1,\n", - " 'Monthly': 12,\n", - " 'Weekly': 52,\n", - " \n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "DATA ANALYSIS" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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FormalEducationUndergradMajorSalaryTypeConvertedSalaryNetSalary
1Bachelor’s degree (BA, BS, B.Eng., etc.)A natural science (ex. biology, chemistry, phy...Yearly70841.070841.0
4Some college/university study without earning ...Computer science, computer engineering, or sof...Yearly21426.021426.0
6Some college/university study without earning ...Computer science, computer engineering, or sof...Yearly120000.0120000.0
8Some college/university study without earning ...Fine arts or performing arts (ex. graphic desi...Yearly250000.0250000.0
14Secondary school (e.g. American high school, G...NaNMonthly0.00.0
17Master’s degree (MA, MS, M.Eng., MBA, etc.)A business discipline (ex. accounting, finance...Monthly47904.0574848.0
20Bachelor’s degree (BA, BS, B.Eng., etc.)Another engineering discipline (ex. civil, ele...Yearly95968.095968.0
22Bachelor’s degree (BA, BS, B.Eng., etc.)Computer science, computer engineering, or sof...Monthly420.05040.0
23Some college/university study without earning ...NaNYearly75000.075000.0
24Master’s degree (MA, MS, M.Eng., MBA, etc.)Computer science, computer engineering, or sof...Yearly10958.010958.0
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" - ], - "text/plain": [ - " FormalEducation \\\n", - "1 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "4 Some college/university study without earning ... \n", - "6 Some college/university study without earning ... \n", - "8 Some college/university study without earning ... \n", - "14 Secondary school (e.g. American high school, G... \n", - "17 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", - "20 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "22 Bachelor’s degree (BA, BS, B.Eng., etc.) \n", - "23 Some college/university study without earning ... \n", - "24 Master’s degree (MA, MS, M.Eng., MBA, etc.) \n", - "\n", - " UndergradMajor SalaryType \\\n", - "1 A natural science (ex. biology, chemistry, phy... Yearly \n", - "4 Computer science, computer engineering, or sof... Yearly \n", - "6 Computer science, computer engineering, or sof... Yearly \n", - "8 Fine arts or performing arts (ex. graphic desi... Yearly \n", - "14 NaN Monthly \n", - "17 A business discipline (ex. accounting, finance... Monthly \n", - "20 Another engineering discipline (ex. civil, ele... Yearly \n", - "22 Computer science, computer engineering, or sof... Monthly \n", - "23 NaN Yearly \n", - "24 Computer science, computer engineering, or sof... Yearly \n", - "\n", - " ConvertedSalary NetSalary \n", - "1 70841.0 70841.0 \n", - "4 21426.0 21426.0 \n", - "6 120000.0 120000.0 \n", - "8 250000.0 250000.0 \n", - "14 0.0 0.0 \n", - "17 47904.0 574848.0 \n", - "20 95968.0 95968.0 \n", - "22 420.0 5040.0 \n", - "23 75000.0 75000.0 \n", - "24 10958.0 10958.0 " - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Function to convert salary to annual\n", - "def convert_to_annual(row):\n", - " salary_type = row['SalaryType']\n", - " salary = row['ConvertedSalary']\n", - " return salary * conversion_factors[salary_type]\n", - "\n", - "# Apply the function to each row\n", - "df2['NetSalary'] = df2.apply(convert_to_annual, axis=1)\n", - "\n", - "# Verify the results\n", - "df2.head(10)" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " mean median \\\n", - "FormalEducation \n", - "Bachelor’s degree (BA, BS, B.Eng., etc.) 897724.866667 80000.0 \n", - "Master’s degree (MA, MS, M.Eng., MBA, etc.) 224084.800000 85708.0 \n", - "Secondary school (e.g. American high school, Ge... 0.000000 0.0 \n", - "Some college/university study without earning a... 407957.800000 252368.0 \n", - "\n", - " count \n", - "FormalEducation \n", - "Bachelor’s degree (BA, BS, B.Eng., etc.) 15 \n", - "Master’s degree (MA, MS, M.Eng., MBA, etc.) 15 \n", - "Secondary school (e.g. American high school, Ge... 1 \n", - "Some college/university study without earning a... 10 \n" - ] - } - ], - "source": [ - "# Average and median NetSalary by FormalEducation\n", - "education_salary_stats = df2.groupby('FormalEducation')['NetSalary'].agg(['mean', 'median', 'count'])\n", - "print(education_salary_stats)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " mean median \\\n", - "UndergradMajor \n", - "A business discipline (ex. accounting, finance,... 4.910880e+05 509472.0 \n", - "A humanities discipline (ex. literature, histor... 4.320000e+05 432000.0 \n", - "A natural science (ex. biology, chemistry, phys... 2.467880e+05 70841.0 \n", - "A social science (ex. anthropology, psychology,... 1.080000e+07 10800000.0 \n", - "Another engineering discipline (ex. civil, elec... 5.025752e+05 95968.0 \n", - "Computer science, computer engineering, or soft... 2.012078e+05 115000.0 \n", - "Fine arts or performing arts (ex. graphic desig... 2.500000e+05 250000.0 \n", - "Mathematics or statistics 8.264800e+04 82648.0 \n", - "Web development or web design 4.400000e+04 44000.0 \n", - "\n", - " count \n", - "UndergradMajor \n", - "A business discipline (ex. accounting, finance,... 3 \n", - "A humanities discipline (ex. literature, histor... 1 \n", - "A natural science (ex. biology, chemistry, phys... 3 \n", - "A social science (ex. anthropology, psychology,... 1 \n", - "Another engineering discipline (ex. civil, elec... 5 \n", - "Computer science, computer engineering, or soft... 22 \n", - "Fine arts or performing arts (ex. graphic desig... 1 \n", - "Mathematics or statistics 1 \n", - "Web development or web design 1 \n" - ] - } - ], - "source": [ - "\n", - "# Average and median NetSalary by UndergradMajor\n", - "major_salary_stats = df2.groupby('UndergradMajor')['NetSalary'].agg(['mean', 'median', 'count'])\n", - "major_salary_stats['mean'] = major_salary_stats['mean'].round(3)\n", - "print(major_salary_stats)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Box plot for NetSalary by FormalEducation\n", - "plt.figure(figsize=(30, 16))\n", - "sns.boxplot(x='FormalEducation', y='NetSalary', data=df2)\n", - "plt.xticks(rotation=90)\n", - "plt.title('NetSalary by FormalEducation')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Descriptive statistics\n", - "plt.figure(figsize=(12, 6))\n", - "sns.barplot(x='FormalEducation', y='NetSalary', data=df2, estimator=np.mean)\n", - "plt.xticks(rotation=90)\n", - "plt.title('Mean NetSalary by FormalEducation')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Descriptive statistics\n", - "plt.figure(figsize=(12, 6))\n", - "sns.barplot(x='FormalEducation', y='NetSalary', data=df2, estimator=np.median)\n", - "plt.xticks(rotation=90)\n", - "plt.title('Mean NetSalary by FormalEducation')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ANOVA for NetSalary by FormalEducation: F_onewayResult(statistic=0.43624509740464823, pvalue=0.7283596208876479)\n" - ] - } - ], - "source": [ - "# Statistical testing\n", - "import scipy.stats as stats\n", - "anova_education = stats.f_oneway(*(df2[df2['FormalEducation'] == edu]['NetSalary'] for edu in df2['FormalEducation'].unique()))\n", - "print('ANOVA for NetSalary by FormalEducation:', anova_education)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "ANOVA for NetSalary by FormalEducation: F_onewayResult(statistic=0.43624509740464823, pvalue=0.7283596208876479)\n", - "\n", - "The ANOVA results suggest that there is no statistically significant difference in NetSalary across different levels of FormalEducation. This means that, based on the data, FormalEducation does not have a significant impact on NetSalary." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "High p-value (0.7284):\n", - "\n", - "The p-value of 0.7284 is much higher than 0.05.\n", - "This means there is a high probability that any differences in NetSalary between different FormalEducation levels are due to random chance rather than a true underlying effect.\n", - "In other words, we do not have enough evidence to reject the null hypothesis that the mean NetSalary is the same for all levels of FormalEducation." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Low F-statistic (0.4362):\n", - "\n", - "The relatively low F-statistic suggests that the variance between the group means is not significantly greater than the variance within the groups." - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ANOVA for NetSalary by UndergradMajor: F_onewayResult(statistic=nan, pvalue=nan)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\scipy\\stats\\_stats_py.py:4133: DegenerateDataWarning: at least one input has length 0\n", - " warnings.warn(stats.DegenerateDataWarning('at least one input '\n" - ] - } - ], - "source": [ - "\n", - "anova_major = stats.f_oneway(*(df2[df2['UndergradMajor'] == major]['NetSalary'] for major in df2['UndergradMajor'].unique()))\n", - "print('ANOVA for NetSalary by UndergradMajor:', anova_major)" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Series([], Name: NetSalary, dtype: int64)\n" - ] - } - ], - "source": [ - "# Check the count of NetSalary entries for each UndergradMajor\n", - "major_counts = df2.groupby('UndergradMajor')['NetSalary'].count()\n", - "print(major_counts[major_counts == 0])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "UndergradMajor\n", - "Computer science, computer engineering, or software engineering 22\n", - "Another engineering discipline (ex. civil, electrical, mechanical) 5\n", - "A natural science (ex. biology, chemistry, physics) 3\n", - "A business discipline (ex. accounting, finance, marketing) 3\n", - "Fine arts or performing arts (ex. graphic design, music, studio art) 1\n", - "A social science (ex. anthropology, psychology, political science) 1\n", - "Web development or web design 1\n", - "A humanities discipline (ex. literature, history, philosophy) 1\n", - "Mathematics or statistics 1\n", - "Name: count, dtype: int64" - ] - }, - "execution_count": 64, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Filter out UndergradMajor categories with no data\n", - "non_empty_majors = major_counts[major_counts > 0].index\n", - "df_filtered = df2[df2['UndergradMajor'].isin(non_empty_majors)]\n", - "df_filtered['UndergradMajor'].value_counts()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ANOVA for NetSalary by UndergradMajor: F_onewayResult(statistic=121.02161297389488, pvalue=3.62550573833004e-20)\n" - ] - } - ], - "source": [ - "import scipy.stats as stats\n", - "\n", - "# Perform ANOVA on the filtered data\n", - "anova_major = stats.f_oneway(*(df_filtered[df_filtered['UndergradMajor'] == major]['NetSalary'] for major in df_filtered['UndergradMajor'].unique()))\n", - "print('ANOVA for NetSalary by UndergradMajor:', anova_major)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "ANOVA for NetSalary by UndergradMajor: F_onewayResult(statistic=121.02161297389488, pvalue=3.62550573833004e-20)\n", - "\n", - "The ANOVA results show that there is a statistically significant difference in NetSalary across different UndergradMajor categories. This means that the field of study in one's undergraduate education has a significant impact on their net salary." - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " Multiple Comparison of Means - Tukey HSD, FWER=0.05 \n", - "===================================================================================================================================================================================================\n", - " group1 group2 meandiff p-adj lower upper reject\n", - "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", - " A business discipline (ex. accounting, finance, marketing) A humanities discipline (ex. literature, history, philosophy) -59088.0 1.0 -1353139.969 1234963.969 False\n", - " A business discipline (ex. accounting, finance, marketing) A natural science (ex. biology, chemistry, physics) -244300.0 0.9916 -1159332.9225 670732.9225 False\n", - " A business discipline (ex. accounting, finance, marketing) A social science (ex. anthropology, psychology, political science) 10308912.0 0.0 9014860.031 11602963.969 True\n", - " A business discipline (ex. accounting, finance, marketing) Another engineering discipline (ex. civil, electrical, mechanical) 11487.2 1.0 -806943.1265 829917.5265 False\n", - " A business discipline (ex. accounting, finance, marketing) Computer science, computer engineering, or software engineering -289880.2273 0.8864 -979612.2442 399851.7897 False\n", - " A business discipline (ex. accounting, finance, marketing) Fine arts or performing arts (ex. graphic design, music, studio art) -241088.0 0.9993 -1535139.969 1052963.969 False\n", - " A business discipline (ex. accounting, finance, marketing) Mathematics or statistics -408440.0 0.9761 -1702491.969 885611.969 False\n", - " A business discipline (ex. accounting, finance, marketing) Web development or web design -447088.0 0.9595 -1741139.969 846963.969 False\n", - " A humanities discipline (ex. literature, history, philosophy) A natural science (ex. biology, chemistry, physics) -185212.0 0.9999 -1479263.969 1108839.969 False\n", - " A humanities discipline (ex. literature, history, philosophy) A social science (ex. anthropology, psychology, political science) 10368000.0 0.0 8783116.4877 11952883.5123 True\n", - " A humanities discipline (ex. literature, history, philosophy) Another engineering discipline (ex. civil, electrical, mechanical) 70575.2 1.0 -1157070.2898 1298220.6898 False\n", - " A humanities discipline (ex. literature, history, philosophy) Computer science, computer engineering, or software engineering -230792.2273 0.9988 -1376661.1135 915076.659 False\n", - " A humanities discipline (ex. literature, history, philosophy) Fine arts or performing arts (ex. graphic design, music, studio art) -182000.0 1.0 -1766883.5123 1402883.5123 False\n", - " A humanities discipline (ex. literature, history, philosophy) Mathematics or statistics -349352.0 0.9977 -1934235.5123 1235531.5123 False\n", - " A humanities discipline (ex. literature, history, philosophy) Web development or web design -388000.0 0.9953 -1972883.5123 1196883.5123 False\n", - " A natural science (ex. biology, chemistry, physics) A social science (ex. anthropology, psychology, political science) 10553212.0 0.0 9259160.031 11847263.969 True\n", - " A natural science (ex. biology, chemistry, physics) Another engineering discipline (ex. civil, electrical, mechanical) 255787.2 0.9775 -562643.1265 1074217.5265 False\n", - " A natural science (ex. biology, chemistry, physics) Computer science, computer engineering, or software engineering -45580.2273 1.0 -735312.2442 644151.7897 False\n", - " A natural science (ex. biology, chemistry, physics) Fine arts or performing arts (ex. graphic design, music, studio art) 3212.0 1.0 -1290839.969 1297263.969 False\n", - " A natural science (ex. biology, chemistry, physics) Mathematics or statistics -164140.0 1.0 -1458191.969 1129911.969 False\n", - " A natural science (ex. biology, chemistry, physics) Web development or web design -202788.0 0.9998 -1496839.969 1091263.969 False\n", - " A social science (ex. anthropology, psychology, political science) Another engineering discipline (ex. civil, electrical, mechanical) -10297424.8 0.0 -11525070.2898 -9069779.3102 True\n", - " A social science (ex. anthropology, psychology, political science) Computer science, computer engineering, or software engineering -10598792.2273 0.0 -11744661.1135 -9452923.341 True\n", - " A social science (ex. anthropology, psychology, political science) Fine arts or performing arts (ex. graphic design, music, studio art) -10550000.0 0.0 -12134883.5123 -8965116.4877 True\n", - " A social science (ex. anthropology, psychology, political science) Mathematics or statistics -10717352.0 0.0 -12302235.5123 -9132468.4877 True\n", - " A social science (ex. anthropology, psychology, political science) Web development or web design -10756000.0 0.0 -12340883.5123 -9171116.4877 True\n", - " Another engineering discipline (ex. civil, electrical, mechanical) Computer science, computer engineering, or software engineering -301367.4273 0.6718 -856590.9907 253856.1362 False\n", - " Another engineering discipline (ex. civil, electrical, mechanical) Fine arts or performing arts (ex. graphic design, music, studio art) -252575.2 0.9986 -1480220.6898 975070.2898 False\n", - " Another engineering discipline (ex. civil, electrical, mechanical) Mathematics or statistics -419927.2 0.9617 -1647572.6898 807718.2898 False\n", - " Another engineering discipline (ex. civil, electrical, mechanical) Web development or web design -458575.2 0.9377 -1686220.6898 769070.2898 False\n", - " Computer science, computer engineering, or software engineering Fine arts or performing arts (ex. graphic design, music, studio art) 48792.2273 1.0 -1097076.659 1194661.1135 False\n", - " Computer science, computer engineering, or software engineering Mathematics or statistics -118559.7727 1.0 -1264428.659 1027309.1135 False\n", - " Computer science, computer engineering, or software engineering Web development or web design -157207.7727 0.9999 -1303076.659 988661.1135 False\n", - "Fine arts or performing arts (ex. graphic design, music, studio art) Mathematics or statistics -167352.0 1.0 -1752235.5123 1417531.5123 False\n", - "Fine arts or performing arts (ex. graphic design, music, studio art) Web development or web design -206000.0 1.0 -1790883.5123 1378883.5123 False\n", - " Mathematics or statistics Web development or web design -38648.0 1.0 -1623531.5123 1546235.5123 False\n", - "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n" - ] - } - ], - "source": [ - "import statsmodels.api as sm\n", - "from statsmodels.stats.multicomp import pairwise_tukeyhsd\n", - "\n", - "# Perform Tukey's HSD test\n", - "tukey = pairwise_tukeyhsd(endog=df_filtered['NetSalary'], groups=df_filtered['UndergradMajor'], alpha=0.05)\n", - "\n", - "# Print the results\n", - "print(tukey)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(12, 8))\n", - "sns.boxplot(x='UndergradMajor', y='NetSalary', data=df2)\n", - "plt.xticks(rotation=90)\n", - "plt.title('NetSalary by UndergradMajor')\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(12, 6))\n", - "sns.barplot(x='UndergradMajor', y='NetSalary', data=df2, estimator=np.mean)\n", - "plt.xticks(rotation=90)\n", - "plt.title('Mean NetSalary by UndergradMajor')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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fs+nTpzu8P9esWaMDBw787fP06NFD/fr108cff/yPs6SmXr16kqTRo0c7jI8cOVKSVL9+/b99DABA+nPqM+kPEh0dralTpyo6Otq+fVCPHj20cuVKTZ06VUOGDHE4/ubNm5o1a1aqUzoBwJl99NFHmjlzpg4fPqzixYvbxwsVKqRPPvlEvXv31smTJ9W4cWNlz55dUVFRWrJkiTp16qQePXpIksqVK6d58+YpIiJCFSpUULZs2dSgQQPNnDlTs2bN0iuvvKJy5crJzc1NBw8e1Ndffy0PDw/7dePFihVToUKF1KNHD509e1ZeXl5atGiR/brpB3nppZfk5uamBg0a2Mv1lClT5Ovre99F8e6nTJkyKlGihBYsWKBnnnlGZcuWfej7FilSRO3bt9evv/4qPz8/ff311zp//nyqHxaEh4drzJgxWrduXaqzGO5n5MiRql27tkqXLq02bdooX758OnjwoCZPnqy8efOqd+/eD/1YfzVgwACtXLlSzz33nN5++20lJiZq7NixKl68uPbu3Ws/7lHeE/fTuHFjVaxYUd27d9exY8dUrFgxLVu2TFeuXJH0cLMyHuX9MnToUNWvX1/VqlVTu3btdOXKFfv3dv369Qc+T6lSpVSqVKk0y5La47du3VqTJ0/W1atXVaNGDW3btk3Tp09X48aN9fzzz//tYwAATJCeS8lbmSRjyZIl9l9/9913hiQja9asDl+ZMmUyXnvttRT3nz17tpEpUyYjJiYmHVMDgHX8dQu2e93d6uqvW7DdtWjRIqNatWr2v2eLFStmvPPOO8bhw4ftx1y/ft1o0aKFkSNHDoetrfbu3Wv07NnTKFu2rJEzZ04jU6ZMRt68eY1XX33V2Llzp8PzHDhwwAgLCzOyZctm5MqVy+jYsaN9u7C/bsuV2hZsy5YtM0JDQw0PDw8jMDDQ+PTTT42vv/7akGRERUXZjwsICDDq16//wN+n4cOHG5KMIUOGPPC4v7r7uKtWrTJCQ0MNd3d3o1ixYvfdLs0wDKN48eKGi4uLcebMmYd+HsMwjJ9//tl4+eWXDR8fHyNTpkxG/vz5jQ4dOqT6OPr/W4qllvfeLd82bNhglCtXznBzczOCgoKMiRMnpvp7bRgP9564d0u/v7p48aLRokULI3v27Ia3t7fRpk0b46effjIkGXPnzrUf17p1ayNr1qypPsbDvl/u5n3mmWcMd3d3IyQkxFi8eLHRunXr+27B9iCpbcH2T967t2/fNgYMGGAULFjQyJw5s+Hv72/07t3buHnzpsNxD/PeBQCkD5thPMbKLv9CNptNS5YsUePGjSVJ8+bNU8uWLfXbb7+luF4wW7ZsDlMLpTsLxnl5eTlMRQQA4F5ffPGFunXrppMnT6a6MnpaKVOmjHLmzKnIyMgn9hwZydKlS/XKK69o8+bNqlq1qtlxnoiPP/5YQ4cOVWJiotlRAAD/ANPd76NMmTJKSkrShQsX/vYa86ioKK1bt07Lli1Lp3QAgIzIMAx99dVXqlGjxhMt6Nu3b9fu3bs1bdq0J/YcVnbjxg2HlcqTkpI0duxYeXl5PdIlBhnNuXPn7rsAHQAg43Dqkn79+nWH1V6joqK0e/du5cyZU0WKFFHLli0VHh6uESNGqEyZMrp48aIiIyMVGhrqsNjK119/rbx58z7WgjoAgH+/uLg4LVu2TOvWrdO+ffv07bffPpHn2b9/v3bs2KERI0Yob968atas2RN5Hqvr0qWLbty4oSpVqighIUGLFy/Wli1bNGTIkH/lNmMnTpzQkiVLtGDBAr388stmxwEA/ENOXdK3b9/usGhKRESEJKl169aaNm2apk6dqk8++UTdu3fX2bNnlStXLlWuXNnhH8Dk5GRNmzZNbdq0eehtdAAAzuXixYtq0aKFcuTIoQ8//FANGzZ8Is+zcOFCDRw4UEWLFtWcOXNS3dfcGdSqVUsjRozQd999p5s3byo4OFhjx47Vu+++a3a0J2Ljxo0aMGCAatasaV+5HQCQcXFNOgAAAAAAFsE+6QAAAAAAWITTTXdPTk7W77//ruzZsz/UXqkAAAAAAPwThmHozz//VL58+eTi8uBz5U5X0n///Xf5+/ubHQMAAAAA4GROnz6tp59++oHHOF1Jz549u6Q7vzleXl4mpwEAAAAA/Ntdu3ZN/v7+9j76IE5X0u9Ocffy8qKkAwAAAADSzcNccs3CcQAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWEQmswMAAABY3bFjxxQVFZVmjxcfH6/jx4+n2eM9SYUKFVKWLFnS7PEKFiyo4ODgNHs8APi3oaQDAAD8jbFjx2rPnj1mx/hXKFWqlL744guzYwCAZVHSAQAA/kaXLl04k55GChYsmGaPBQD/RpR0AACAvxEcHMwUbQBAumDhOAAAAAAALIKSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIugpAMAAAAAYBGUdAAAAAAALIKSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIugpAMAAAAAYBGUdAAAAAAALIKSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIugpAMAAAAAYBGUdAAAAAAALMLUkr5x40Y1aNBA+fLlk81m09KlS//2PuvXr1fZsmXl7u6u4OBgTZs27YnnBAAAAAAgPZha0uPi4lSqVCmNHz/+oY6PiopS/fr19fzzz2v37t16//331aFDB61ateoJJwUAAAAA4MnLZOaT161bV3Xr1n3o4ydOnKiCBQtqxIgRkqRnnnlGmzdv1qhRo1S7du0nFRMAAAAAgHSRoa5J37p1q8LCwhzGateura1bt973PgkJCbp27ZrDFwAAAAAAVpShSnpMTIz8/Pwcxvz8/HTt2jXduHEj1fsMHTpU3t7e9i9/f//0iAoAAAAAwCPLUCX9cfTu3VuxsbH2r9OnT5sdCQAAAACAVJl6TfqjypMnj86fP+8wdv78eXl5ecnT0zPV+7i7u8vd3T094gEAAAAA8I9kqDPpVapUUWRkpMPYmjVrVKVKFZMSAQAAAACQdkwt6devX9fu3bu1e/duSXe2WNu9e7eio6Ml3ZmqHh4ebj++c+fOOnHihP773//q0KFD+t///qf58+erW7duZsQHAAAAACBNmVrSt2/frjJlyqhMmTKSpIiICJUpU0Z9+/aVJJ07d85e2CWpYMGC+v7777VmzRqVKlVKI0aM0Jdffsn2awAAAACAfwWbYRiG2SHS07Vr1+Tt7a3Y2Fh5eXmZHQcAAAAA8C/3KD00Q12TDgAAAADAvxklHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEaaX9PHjxyswMFAeHh6qVKmStm3b9sDjR48eraJFi8rT01P+/v7q1q2bbt68mU5pAQAAAAB4ckwt6fPmzVNERIT69eunnTt3qlSpUqpdu7YuXLiQ6vGzZ89Wr1691K9fPx08eFBfffWV5s2bpw8//DCdkwMAAAAAkPZshmEYZj15pUqVVKFCBY0bN06SlJycLH9/f3Xp0kW9evVKcfy7776rgwcPKjIy0j7WvXt3/fLLL9q8eXOqz5GQkKCEhAT7r69duyZ/f3/FxsbKy8srjb8jAAAAAAAcXbt2Td7e3g/VQ007k37r1i3t2LFDYWFh/xfGxUVhYWHaunVrqvd59tlntWPHDvuU+BMnTmjFihWqV6/efZ9n6NCh8vb2tn/5+/un7TcCAAAAAEAayWTWE1+6dElJSUny8/NzGPfz89OhQ4dSvU+LFi106dIlVatWTYZhKDExUZ07d37gdPfevXsrIiLC/uu7Z9IBAAAAALAa0xeOexTr16/XkCFD9L///U87d+7U4sWL9f3332vQoEH3vY+7u7u8vLwcvgAAAAAAsCLTzqTnypVLrq6uOn/+vMP4+fPnlSdPnlTv8/HHH6tVq1bq0KGDJKlkyZKKi4tTp06d9NFHH8nFJUN95gAAAAAAgAPTWq2bm5vKlSvnsAhccnKyIiMjVaVKlVTvEx8fn6KIu7q6SpJMXP8OAAAAAIA0YdqZdEmKiIhQ69atVb58eVWsWFGjR49WXFyc2rZtK0kKDw9X/vz5NXToUElSgwYNNHLkSJUpU0aVKlXSsWPH9PHHH6tBgwb2sg4AAAAAQEZlaklv1qyZLl68qL59+yomJkalS5fWypUr7YvJRUdHO5w579Onj2w2m/r06aOzZ88qd+7catCggQYPHmzWtwAAAAAAQJoxdZ90MzzK/nQAAAAAAPxTGWKfdAAAAAAA4IiSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIugpAMAAAAAYBGUdAAAAAAALIKSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIugpAMAAAAAYBGUdAAAAAAALIKSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIugpAMAAAAAYBGUdAAAAAAALIKSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIugpAMAAAAAYBGUdAAAAAAALIKSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIugpAMAAAAAYBGUdAAAAAAALIKSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIugpAMAAAAAYBGUdAAAAAAALIKSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIugpAMAAAAAYBGUdAAAAAAALIKSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIt4rJLeunVrbdy4Ma2zAAAAAADg1B6rpMfGxiosLEyFCxfWkCFDdPbs2bTOBQAAAACA03mskr506VKdPXtWb731lubNm6fAwEDVrVtXCxcu1O3bt9M6IwAAAAAATuGxr0nPnTu3IiIitGfPHv3yyy8KDg5Wq1atlC9fPnXr1k1Hjx5Ny5wAAAAAAPzr/eOF486dO6c1a9ZozZo1cnV1Vb169bRv3z6FhIRo1KhRf3v/8ePHKzAwUB4eHqpUqZK2bdv2wOOvXr2qd955R3nz5pW7u7uKFCmiFStW/NNvAwAAAAAA02V6nDvdvn1by5Yt09SpU7V69WqFhobq/fffV4sWLeTl5SVJWrJkidq1a6du3brd93HmzZuniIgITZw4UZUqVdLo0aNVu3ZtHT58WL6+vimOv3Xrll588UX5+vpq4cKFyp8/v06dOqUcOXI8zrcBAAAAAICl2AzDMB71Trly5VJycrKaN2+ujh07qnTp0imOuXr1qsqUKaOoqKj7Pk6lSpVUoUIFjRs3TpKUnJwsf39/denSRb169Upx/MSJE/XZZ5/p0KFDypw580NlTUhIUEJCgv3X165dk7+/v2JjY+0fKAAAAAAA8KRcu3ZN3t7eD9VDH2u6+6hRo/T7779r/PjxqRZ0ScqRI8cDC/qtW7e0Y8cOhYWF/V8YFxeFhYVp69atqd5n2bJlqlKlit555x35+fmpRIkSGjJkiJKSku77PEOHDpW3t7f9y9/f/+G+SQAAAAAA0tkjl/Tbt2+rbdu2Onbs2D964kuXLikpKUl+fn4O435+foqJiUn1PidOnNDChQuVlJSkFStW6OOPP9aIESP0ySef3Pd5evfurdjYWPvX6dOn/1FuAAAAAACelEe+Jj1z5swqUKDAA89ePynJycny9fXV5MmT5erqqnLlyuns2bP67LPP1K9fv1Tv4+7uLnd393ROCgAAAADAo3us6e4fffSRPvzwQ125cuWxnzhXrlxydXXV+fPnHcbPnz+vPHnypHqfvHnzqkiRInJ1dbWPPfPMM4qJidGtW7ceOwsAAAAAAFbwWCV93Lhx2rhxo/Lly6eiRYuqbNmyDl8Pw83NTeXKlVNkZKR9LDk5WZGRkapSpUqq96lataqOHTum5ORk+9iRI0eUN29eubm5Pc63AgAAAACAZTzWFmyNGzdOkyePiIhQ69atVb58eVWsWFGjR49WXFyc2rZtK0kKDw9X/vz5NXToUEnSW2+9pXHjxqlr167q0qWLjh49qiFDhui9995LkzwAAAAAAJjpsUr6/a7/flTNmjXTxYsX1bdvX8XExKh06dJauXKlfTG56Ohoubj838l+f39/rVq1St26dVNoaKjy58+vrl276oMPPkiTPAAAAAAAmOmx9knPyB5lfzoAAAAAAP6pR+mhj3UmPSkpSaNGjdL8+fMVHR2dYtG2f7KgHAAAAAAAzuqxFo4bMGCARo4cqWbNmik2NlYRERFq0qSJXFxc1L9//zSOCAAAAACAc3iskj5r1ixNmTJF3bt3V6ZMmdS8eXN9+eWX6tu3r37++ee0zggAAAAAgFN4rJIeExOjkiVLSpKyZcum2NhYSdLLL7+s77//Pu3SAQAAAADgRB6rpD/99NM6d+6cJKlQoUJavXq1JOnXX3+Vu7t72qUDAAAAAMCJPFZJf+WVVxQZGSlJ6tKliz7++GMVLlxY4eHhateuXZoGBAAAAADAWaTJFmxbt27V1q1bVbhwYTVo0CAtcj0xbMEGAAAAAEhPT3wLtntVqVJFVapUSYuHAgAAAADAaT10SV+2bNlDP2jDhg0fKwwAAAAAAM7soUt648aNH+o4m82mpKSkx80DAAAAAIDTeuiSnpyc/CRzAAAAAADg9B5rdXcAAAAAAJD2HnvhuLi4OG3YsEHR0dG6deuWw23vvffePw4GAAAAAICzeaySvmvXLtWrV0/x8fGKi4tTzpw5denSJWXJkkW+vr6UdAAAAAAAHsNjTXfv1q2bGjRooD/++EOenp76+eefderUKZUrV06ff/55WmcEAAAAAMApPFZJ3717t7p37y4XFxe5uroqISFB/v7+Gj58uD788MO0zggAAAAAgFN4rJKeOXNmubjcuauvr6+io6MlSd7e3jp9+nTapQMAAAAAwIk81jXpZcqU0a+//qrChQurRo0a6tu3ry5duqSZM2eqRIkSaZ0RAAAAAACn8Fhn0ocMGaK8efNKkgYPHiwfHx+99dZbunjxoiZPnpymAQEAAAAAcBY2wzAMs0Okp2vXrsnb21uxsbHy8vIyOw4AAAAA4F/uUXroY++T/lcbNmxQfHy8KleuLB8fn7R4SAAAAAAAnM4jlfRPP/1U169f16BBgyRJhmGobt26Wr16taQ7i8hFRkaqePHiaZ8UAAAAAIB/uUe6Jn3evHkOC8MtXLhQGzdu1KZNm3Tp0iWVL19eAwYMSPOQAAAAAAA4g0cq6VFRUQoNDbX/esWKFfrPf/6jqlWrKmfOnOrTp4+2bt2a5iEBAAAAAHAGj1TSExMT5e7ubv/11q1b9eyzz9p/nS9fPl26dCnt0gEAAAAA4EQeqaQXKlRIGzdulCRFR0fryJEjql69uv32M2fO6KmnnkrbhAAAAAAAOIlHWjjunXfe0bvvvqtNmzbp559/VpUqVRQSEmK/fe3atSpTpkyahwQAAAAAwBk8Uknv2LGjXF1dtXz5clWvXl39+vVzuP33339X27Zt0zQgAAAAAADOwmYYhmF2iPT0KJvIAwAAAADwTz1KD32ka9LvcnV11YULF1KMX758Wa6uro/zkAAAAAAAOL3HKun3O/mekJAgNze3fxQIAAAAAABn9UjXpI8ZM0aSZLPZ9OWXXypbtmz225KSkrRx40YVK1YsbRMCAAAAAOAkHqmkjxo1StKdM+kTJ050mNru5uamwMBATZw4MW0TAgAAAADgJB6ppEdFRUmSnn/+eS1evFg+Pj5PJBQAAAAAAM7osa5JX7dunXx8fHTr1i0dPnxYiYmJaZ0LAAAAAACn81gl/caNG2rfvr2yZMmi4sWLKzo6WpLUpUsXDRs2LE0DAgAAAADgLB6rpPfq1Ut79uzR+vXr5eHhYR8PCwvTvHnz0iwcAAAAAADO5JGuSb9r6dKlmjdvnipXriybzWYfL168uI4fP55m4QAAAAAAcCaPdSb94sWL8vX1TTEeFxfnUNoBAAAAAMDDe6ySXr58eX3//ff2X98t5l9++aWqVKmSNskAAAAAAHAyjzXdfciQIapbt64OHDigxMREffHFFzpw4IC2bNmiDRs2pHVGAAAAAACcwmOdSa9WrZp2796txMRElSxZUqtXr5avr6+2bt2qcuXKpXVGAAAAAACcgs0wDMPsEOnp2rVr8vb2VmxsrLy8vMyOAwAAAAD4l3uUHvpI091dXFz+dmE4m82mxMTER3lYAAAAAACgRyzpS5Ysue9tW7du1ZgxY5ScnPyPQwEAAAAA4IweqaQ3atQoxdjhw4fVq1cvLV++XC1bttTAgQPTLBwAAAAAAM7ksRaOk6Tff/9dHTt2VMmSJZWYmKjdu3dr+vTpCggISMt8AAAAAAA4jUcu6bGxsfrggw8UHBys3377TZGRkVq+fLlKlCjxJPIBAAAAAOA0Hmm6+/Dhw/Xpp58qT548mjNnTqrT3wEAAAAAwON5pC3YXFxc5OnpqbCwMLm6ut73uMWLF6dJuCeBLdgAAAAAAOnpiW3BFh4e/rdbsAEAAAAAgMfzSCV92rRpTygGAAAAAAB47NXdAQAAAABA2qKkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZhiZI+fvx4BQYGysPDQ5UqVdK2bdse6n5z586VzWZT48aNn2xAAAAAAADSgeklfd68eYqIiFC/fv20c+dOlSpVSrVr19aFCxceeL+TJ0+qR48eeu6559IpKQAAAAAAT5bpJX3kyJHq2LGj2rZtq5CQEE2cOFFZsmTR119/fd/7JCUlqWXLlhowYICCgoLSMS0AAAAAAE+OqSX91q1b2rFjh8LCwuxjLi4uCgsL09atW+97v4EDB8rX11ft27f/2+dISEjQtWvXHL4AAAAAALAiU0v6pUuXlJSUJD8/P4dxPz8/xcTEpHqfzZs366uvvtKUKVMe6jmGDh0qb29v+5e/v/8/zg0AAAAAwJNg+nT3R/Hnn3+qVatWmjJlinLlyvVQ9+ndu7diY2PtX6dPn37CKQEAAAAAeDyZzHzyXLlyydXVVefPn3cYP3/+vPLkyZPi+OPHj+vkyZNq0KCBfSw5OVmSlClTJh0+fFiFChVyuI+7u7vc3d2fQHoAAAAAANKWqWfS3dzcVK5cOUVGRtrHkpOTFRkZqSpVqqQ4vlixYtq3b592795t/2rYsKGef/557d69m6nsAAAAAIAMzdQz6ZIUERGh1q1bq3z58qpYsaJGjx6tuLg4tW3bVpIUHh6u/Pnza+jQofLw8FCJEiUc7p8jRw5JSjEOAAAAAEBGY3pJb9asmS5evKi+ffsqJiZGpUuX1sqVK+2LyUVHR8vFJUNdOg8AAAAAwGOxGYZhmB0iPV27dk3e3t6KjY2Vl5eX2XEAAAAAAP9yj9JDOUUNAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZBSQcAAAAAwCIo6QAAAAAAWAQlHQAAAAAAi6CkAwAAAABgEZR0AAAAAAAsgpIOAAAAAIBFUNIBAAAAALAISjoAAAAAABZhiZI+fvx4BQYGysPDQ5UqVdK2bdvue+yUKVP03HPPycfHRz4+PgoLC3vg8QAAAAAAZBSml/R58+YpIiJC/fr1086dO1WqVCnVrl1bFy5cSPX49evXq3nz5lq3bp22bt0qf39/vfTSSzp79mw6JwcAAAAAIG3ZDMMwzAxQqVIlVahQQePGjZMkJScny9/fX126dFGvXr3+9v5JSUny8fHRuHHjFB4e/rfHX7t2Td7e3oqNjZWXl9c/zg8AAAAAwIM8Sg819Uz6rVu3tGPHDoWFhdnHXFxcFBYWpq1btz7UY8THx+v27dvKmTNnqrcnJCTo2rVrDl8AAAAAAFiRqSX90qVLSkpKkp+fn8O4n5+fYmJiHuoxPvjgA+XLl8+h6P/V0KFD5e3tbf/y9/f/x7kBAAAAAHgSTL8m/Z8YNmyY5s6dqyVLlsjDwyPVY3r37q3Y2Fj71+nTp9M5JQAAAAAADyeTmU+eK1cuubq66vz58w7j58+fV548eR54388//1zDhg3Tjz/+qNDQ0Pse5+7uLnd39zTJCwAAAADAk2TqmXQ3NzeVK1dOkZGR9rHk5GRFRkaqSpUq973f8OHDNWjQIK1cuVLly5dPj6gAAAAAADxxpp5Jl6SIiAi1bt1a5cuXV8WKFTV69GjFxcWpbdu2kqTw8HDlz59fQ4cOlSR9+umn6tu3r2bPnq3AwED7tevZsmVTtmzZTPs+AAAAAAD4p0wv6c2aNdPFixfVt29fxcTEqHTp0lq5cqV9Mbno6Gi5uPzfCf8JEybo1q1b+s9//uPwOP369VP//v3TMzoAAAAAAGnK9H3S0xv7pAMAAAAA0lOG2ScdAAAAAAD8H0o6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIugpAMAAAAAYBGUdAAAAAAALIKSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFhEJrMDAACAJ+PmzZuKjo42O8ZDKVCggDw8PMyOAQCA6SjpAAD8S0VHR6tTp05mx3gokydPVpEiRcyOAQCA6SjpAAD8SxUoUECTJ09Os8c7deqUBg8erI8++kgBAQFp9rjSnawAAICSDgDAv5aHh8cTOTsdEBDAWW8AAJ4QFo4DAAAAAMAiKOkAAAAAAFgEJR0AAAAAAIugpAMAAAAAYBGUdAAAAAAALIKSDgAAAACARVDSAQAAAACwCEo6AAAAAAAWQUkHAAAAAMAiKOkAAAAAAFhEJrMDAP9GSUlJ2rt3r65cuaKcOXMqNDRUrq6uZscCAAAAYHGUdCCNbdy4Uf/73/8UExNjH8uTJ4/efvttVa9e3cRkAAAAAKyO6e5AGtq4caP69eunoKAgjR8/XitWrND48eMVFBSkfv36aePGjWZHBAAAAGBhlHQgjSQlJel///ufqlSpok8++UTFixdXlixZVLx4cX3yySeqUqWKJkyYoKSkJLOjAgAAALAoSjqQRvbu3auYmBi1bNlSLi6Of7RcXFzUsmVLnTt3Tnv37jUpIQAAAACr45p0II1cuXJFklSwYMFUF44rWLCgw3EAAAAAcC9KOpBGcubMKUlasmSJli9fnmLhuJdfftnhOAAAAAC4FyUdSCOhoaHKkSOHpkyZoipVqujjjz9WwYIFFRUVpW+++UZffvmlfHx8FBoaanZUAAAAABbFNelAOjIMw+wIAAAAACyMM+lAGtm7d6+uXr2qjh07avny5XrnnXfst+XNm1cdO3bUlClTtHfvXpUpU8bEpAAAAACsipIOpJG7C8K98sorev3111MsHJeQkKApU6awcBwAAACA+6KkA2nk7oJwUVFRKl68eIqz5VFRUQ7HAQAAAMC9uCYdSCOhoaHKkyePZs2apeTkZIfbkpOTNWvWLOXNm5eF4wAAAADcFyUdSCOurq56++23tXXrVvXp00e//fab4uPj9dtvv6lPnz7aunWr3nrrLbm6upodFQAAAIBFMd0dSEPVq1fXgAED9L///S/FwnEDBgxQ9erVTUwHwOrOnz+v2NhYs2Pc16lTpxz+a2Xe3t7y8/MzOwYAAI/MZjjZnlDXrl2Tt7e3YmNj5eXlZXYc/EslJSWlWDiOM+gAHuT8+fN6o1W4bt9KMDvKv0JmN3d9M3MGRR0AYAmP0kM5kw48Aa6urmyzBuCRxMbG6vatBN0IqqFkD2+z42RoLjdjpRMbFBsbS0kHAGQ4lHQAACwk2cNbyVlzmR0DAACYhIXjAAAAAACwCEo6AAAAAAAWwXT3dHTz5k1FR0ebHeOhFShQQB4eHmbHAAAAAACnQUlPR9HR0erUqZPZMR7a5MmTVaRIEbNjALAwPnwEAABIW5T0dFSgQAFNnjw5TR/z1KlTGjx4sD766CMFBASk6WMXKFAgTR8PwL8PHz4CAACkLUp6OvLw8HhiPxwGBATwgyeAh3L+/HnFxsamyWMlJCToo48+SpPHuuvcuXP6+uuv1a5dO+XNmzdNHzshIUFHjhxJk8fy9vZmey8AAJDmKOkA4ETOnz+vlm+0UuLtW2ZH+Vtff/212REeKFNmN836ZiZFHQAApClWdwcAJxIbG5shCnpGkHj7VprNSAAAALiLM+kA4IRu5i8rwy2b2TEyLNut6/I4u9PsGAAA4F+Ikg4ATsTb21uZ3dwlCuY/ltnNXd7e3mbHAABLO3bsmKKiotLs8eLj43X8+PE0e7wnqVChQsqSJUuaPV7BggUVHBycZo8H66KkA4AT8fPz0zczZ1h6mvaT3LUiLbFwHAD8vbFjx2rPnj1mx/hXKFWqlL744guzYyAdUNIBwMn4+fmlWblkn3QAwIN06dKFM+lppGDBgmn2WLA2SvrfSMutip6EU6dOOfzXqjLCGaeMVDYoGrCKJ7lP+uDBg9P8MdknHQDSV3BwMFO0gUdESX+A8+fP641W4bp9K8HsKH/rSfwwm5Yyu7nrm5kzLF3Un2TZSGsUDVhFgQIFNHnyZLNjPLQCBQqYHQEAAOCBKOkPEBsbq9u3EnQjqIaSPVgc6HG53IyVTmxQbGyspUt6WpeNJ3ldLUUDVuHh4cEHRgAAAGmIkv4Qkj28lZw1l9kx8IQ9qbIREBBAiQEAAADwUCjpANIc262w3QoAAAAeDyUdGRaL+qWdtF7Yj+1W0g7brQAAADgXSjoyJBb1S1tpvbAf262w3QoAAAAeDyUdGRKL+qWdJ7GwH9utAAAAAI+Hko4MjUX9AAAAAPybUNKRobncuGp2hAyP30MAAADAOijpyNA8ozaaHQEA0pRr7Bk+PPuHbLeumx0BACyP3XisuxuPJUr6+PHj9dlnnykmJkalSpXS2LFjVbFixfsev2DBAn388cc6efKkChcurE8//VT16tV7Yvn4gemfeZI/LN3MX1aGW7Yn9vjOwHbrujzO7jQ7BuD0vL295eLiyp/HNOLi4ipvb9YsAYD7YTeetJPWu/GYXtLnzZuniIgITZw4UZUqVdLo0aNVu3ZtHT58WL6+vimO37Jli5o3b66hQ4fq5Zdf1uzZs9W4cWPt3LlTJUqUSNNs/MCUdtL6hyVvb29ldnOXeG3SRGY3d36YBUzm5+en//1vvE6fPp1mj3nu3Dl9/fXXafZ4T1K7du2UN2/eNHs8f3//NN1aEtaWlmcEM9LZQCltzwim9dlAWBu78Vh3Nx6bYRhGmj7iI6pUqZIqVKigcePGSZKSk5Pl7++vLl26qFevXimOb9asmeLi4vTdd9/ZxypXrqzSpUtr4sSJf/t8165dk7e3t2JjY+Xl5fW3xx86dCjNfmDKSD8sSWn7A5O/v7+KFSuWJo91V1rvk56QkKCYmJg0e7y7r3da/+ApSXny5JG7u3uaPV5a75MOwBpu3ryp6Ohos2M8lAIFCsjDw8PsGMigunbtyhnBNJDWZwMB/J9H6aGmnkm/deuWduzYod69e9vHXFxcFBYWpq1bt6Z6n61btyoiIsJhrHbt2lq6dGmqxyckJCgh4f/20r527dojZSxWrFialcubN2+qcuXKafJY6cHqPzD5+fmlabE8cuTIE9nT/El8MDN58mQVKVIkzR8XwL+Lh4cHf1fAKaTlGcGMdDZQSvsz6QDMZ2pJv3TpkpKSklIULT8/Px06dCjV+8TExKR6/P3OgA4dOlQDBgxIm8D/ED8sWVuBAgU0efJks2M8lAIFCpgdAQAAywgODmaaNoB/DdOvSX/Sevfu7XDm/dq1a/L39zcxEayKD1EAAAAAmM3Ukp4rVy65urrq/PnzDuPnz59Xnjx5Ur1Pnjx5Hul4d3f3NL12FwAAAACAJ8XFzCd3c3NTuXLlFBkZaR9LTk5WZGSkqlSpkup9qlSp4nC8JK1Zs+a+xwMAAAAAkFGYPt09IiJCrVu3Vvny5VWxYkWNHj1acXFxatu2rSQpPDxc+fPn19ChQyXdWb2zRo0aGjFihOrXr6+5c+dq+/btGeZaYgAAAAAA7sf0kt6sWTNdvHhRffv2VUxMjEqXLq2VK1faF4eLjo6Wi8v/nfB/9tlnNXv2bPXp00cffvihChcurKVLl6b5HukAAAAAAKQ30/dJT2+Puk86AAAAAAD/xKP0UFOvSQcAAAAAAP+Hkg4AAAAAgEVQ0gEAAAAAsAhKOgAAAAAAFkFJBwAAAADAIijpAAAAAABYBCUdAAAAAACLoKQDAAAAAGARlHQAAAAAACyCkg4AAAAAgEVQ0gEAAAAAsAhKOgAAAAAAFpHJ7ADpzTAMSdK1a9dMTgIAAAAAcAZ3++fdPvogTlfS//zzT0mSv7+/yUkAAAAAAM7kzz//lLe39wOPsRkPU+X/RZKTk/X7778re/bsstlsZsf5x65duyZ/f3+dPn1aXl5eZsfBX/DaWBuvj3Xx2lgXr4218fpYF6+NdfHaWNu/6fUxDEN//vmn8uXLJxeXB1917nRn0l1cXPT000+bHSPNeXl5Zfg37r8Vr4218fpYF6+NdfHaWBuvj3Xx2lgXr421/Vten787g34XC8cBAAAAAGARlHQAAAAAACyCkp7Bubu7q1+/fnJ3dzc7Cu7Ba2NtvD7WxWtjXbw21sbrY128NtbFa2Ntzvr6ON3CcQAAAAAAWBVn0gEAAAAAsAhKOgAAAAAAFkFJBwAAAADAIijpAAAAAABYBCUdAAAAAACLoKRnQLdv39bp06d1+PBhXblyxew4AAAnkJCQYHYEAEhT/L0Gq8pkdgA8nD///FPffPON5s6dq23btunWrVsyDEM2m01PP/20XnrpJXXq1EkVKlQwO6rT8vHxkc1mSzFus9nk4eGh4OBgtWnTRm3btjUhHSQpOjpap06dUnx8vHLnzq3ixYs73b6bVpSQkKBffvnF4bUpU6aMChYsaHY0p/bDDz9o7ty52rRpk06fPq3k5GRlzZpVZcqU0UsvvaS2bdsqX758Zsd0WlevXtWSJUu0adOmFH92ateurWeffdbsiE7v6tWr2rZtmy5cuKDk5GSH28LDw01K5dz4e836Vq5cqWzZsqlatWqSpPHjx2vKlCkKCQnR+PHj5ePjY3LC9ME+6RnAyJEjNXjwYBUqVEgNGjRQxYoVlS9fPnl6eurKlSvav3+/Nm3apKVLl6pSpUoaO3asChcubHZspzNq1CgNHjxYdevWVcWKFSVJ27Zt08qVK9WtWzdFRUVp5syZGjt2rDp27GhyWudx8uRJTZgwQXPnztWZM2f017/y3Nzc9Nxzz6lTp05q2rSpXFyYXJSefvrpJ33xxRdavny5bt++LW9vb/vfawkJCQoKClKnTp3UuXNnZc+e3ey4TmPJkiX64IMP9Oeff6pevXr3/Tdn69atatOmjQYNGqTcuXObHdtp/P777+rbt69mzZqlfPnypfr67NixQwEBAerXr5+aNWtmdmSntHz5crVs2VLXr1+Xl5eXw4f4NpuNmZDpjL/XMo6SJUvq008/Vb169bRv3z5VqFBBERERWrdunYoVK6apU6eaHTF9GLC8119/3di/f//fHnfz5k1jwoQJxldffZUOqXCvJk2aGBMmTEgxPnHiRKNJkyaGYRjGmDFjjBIlSqR3NKfVpUsXw8vLy3j11VeNGTNmGIcOHTKuXbtm3L592zh//rwRGRlp9O/f3yhWrJhRvHhxY9u2bWZHdhoNGjQw8ufPb/Ts2dPYuHGjER8f73D78ePHjWnTphm1a9c28uTJY6xevdqkpM6ncuXKxnfffWckJSU98LgzZ84YH3zwgTFy5Mh0SgbDMAxfX1+jZ8+exm+//XbfY+Lj443Zs2cblStXNj777LN0TIe7ChcubHTt2tWIi4szOwoM/l7LSLJmzWpERUUZhmEY/fr1M5o2bWoYhmHs2LHD8PPzMzFZ+uJMOpBGsmXLpt27dys4ONhh/NixYypdurSuX7+u48ePKzQ0VHFxcSaldC69e/dWjx499NRTT/3tsStXrlR8fLyaNGmSDskwadIktWvXTpkzZ/7bYw8cOKBz587phRdeSIdkgLVdvnz5of5Oe9zjkTayZs2qffv2KSgoyOwoQIaSM2dObd68WSEhIapWrZrCw8PVqVMnnTx5UiEhIYqPjzc7YrpgbmcGd+3aNS1dulQHDx40O4rTy5kzp5YvX55ifPny5cqZM6ckKS4ujmm76Wjo0KEP/cNpnTp1KOjp6M0333yogi5JISEhFHTg/3vUwk1BN0ft2rW1fft2s2MgFevWrTM7Ah6gWrVqioiI0KBBg7Rt2zbVr19fknTkyBE9/fTTJqdLPywcl8G89tprql69ut59913duHFD5cuX18mTJ2UYhubOnaumTZuaHdFpffzxx3rrrbe0bt06+zXpv/76q1asWKGJEydKktasWaMaNWqYGdNp1apVS4sXL1aOHDkcxq9du6bGjRtr7dq15gQDLCYiIuKhjx05cuQTTIKHMXPmTE2cOFFRUVHaunWrAgICNHr0aBUsWFCNGjUyO57Tql+/vnr27KkDBw6oZMmSKT6UbNiwoUnJUKdOHT399NNq27atWrduLX9/f7Mj4S/GjRunt99+WwsXLtSECROUP39+SXcW/atTp47J6dIP090zmDx58mjVqlUqVaqUZs+erX79+mnPnj2aPn26Jk+erF27dpkd0an99NNPGjdunA4fPixJKlq0qLp06cIquxbg4uKimJgY+fr6OoxfuHBB+fPn1+3bt01KBnZGsJbnn3/+oY6z2Wx8uGWyCRMmqG/fvnr//fc1ePBg7d+/X0FBQZo2bZqmT5/OGUMTPWghUpvNpqSkpHRMg7+6dOmSZs6cqenTp+u3335TrVq11L59ezVu3Fhubm5mxwMkUdIzHE9PTx05ckT+/v4KDw9Xvnz5NGzYMEVHRyskJETXr183OyJgKXv37pUklS5dWmvXrrVfeiBJSUlJWrlypSZNmqSTJ0+alBDsjAA8npCQEA0ZMkSNGzdW9uzZtWfPHgUFBWn//v2qWbOmLl26ZHZEwNJ27typqVOnas6cOZKkFi1aqH379ipVqpTJyZzXihUr5Orqqtq1azuMr169WklJSapbt65JydIX090zGH9/f23dulU5c+bUypUrNXfuXEnSH3/8IQ8PD5PTITk5WceOHUt1T9Tq1aublMq5lS5dWjabTTabTbVq1Upxu6enp8aOHWtCMty1efNmffLJJ+rcubPD+KRJk7R69WotWrRIoaGhGjNmDCUd+IuoqCiVKVMmxbi7uzsLlAIPoWzZssqTJ4+eeuopDRs2TF9//bX+97//qUqVKpo4caKKFy9udkSn06tXLw0bNizFeHJysnr16kVJhzW9//77atmypbJly6aAgADVrFlTkrRx40aVLFnS3HBO7ueff1aLFi106tQp3TtBhalt5omKipJhGAoKCtK2bdsc9j11c3OTr6+vXF1dTUyIVatW6dNPP00x/sILL6h79+6SpHr16qlXr17pHQ2Stm/frvnz5ys6Olq3bt1yuG3x4sUmpYIkFSxYULt371ZAQIDD+MqVK/XMM8+YlAqSNGbMmFTH/3oZT/Xq1fn3xyS3b9/Wt99+q6+//lpr1qxR+fLlNW7cODVv3lwXL15Unz599Oqrr+rAgQNmR3U6R48eVUhISIrxYsWK6dixYyYkMgclPYN5++23VbFiRZ0+fVovvvii/ZqnoKAgffLJJyanc26dO3dW+fLl9f333ytv3rypXmOL9BcQEKDbt2+rdevWeuqpp1L8MAvz3d0ZoVu3bg7j7Ixgvrlz5yo8PFy1a9fW6tWr9dJLL+nIkSM6f/68XnnlFbPjOb2IiAi98847unnzpgzD0LZt2zRnzhwNHTpUX375pdnxnNqoUaN08eJFxcfHy8fHR9KdWY9ZsmRRtmzZdOHCBQUFBWndunUsXJbOunTpojlz5sgwDLVq1UrDhw9XiRIl7LdnzZpVn3/+ufLly2diSufl7e2tEydOKDAw0GH82LFjypo1qzmhTMA16UAayZo1q/bs2ZNin3RYQ44cObRr1y4VLFjQ7Ci4x5QpU/TWW2+pXr16qe6M0L59e40YMULbtm3TvHnzTE7rXEJDQ/Xmm2/qnXfesV/zXLBgQb355pvKmzevBgwYYHZEpzdr1iz1799fx48flyTly5dPAwYMUPv27U1O5tzmzJmjyZMn68svv1ShQoUk3SkZb775pjp16qSqVavq9ddfV548ebRw4UKT0zqXF154QR06dFCTJk3k7u6e6jGJiYn66aef2JHHBG+++aa2bt2qJUuWOPzZadq0qSpUqOA0H0BS0jOYpk2bqmLFivrggw8cxocPH65ff/1VCxYsMCkZatWqpf/+979OtT1ERtK6dWuVLl06xdlaWAM7I1hT1qxZ9dtvvykwMFBPPfWU1q9fr5IlS+rgwYOqVauWzp07Z3ZE/H/x8fG6fv16ih0sYI5ChQpp0aJFKl26tMP4rl271LRpU504cUJbtmxR06ZN+XME/EVsbKzq1Kmj7du32/dFP3PmjJ577rlUt9L9t2K6ewazceNG9e/fP8V43bp1NWLEiPQPBLsuXbqoe/fuiomJSXVP1NDQUJOSQZIKFy6sgQMH6qefflK5cuVSTJl67733TEoGSapataqqVq1qdgzcw8fHR3/++ackKX/+/Nq/f79Kliypq1evKj4+3uR0iIqKUmJiogoXLqwsWbIoS5Ysku5c05k5c+YU00WRfs6dO6fExMQU44mJiYqJiZF0Z9bD3T9fSF9Hjx7VunXrUl3ot2/fvialgnRnuvuWLVu0Zs0a7dmzR56engoNDXW6BZg5k57BeHp6avfu3SpatKjD+KFDh1SmTBnduHHDpGRIbU9Um80mwzBYOM4CHjTN3Waz6cSJE+mYBvdiZwRratGihcqXL6+IiAgNGjRIY8eOVaNGjbRmzRqVLVuWheNMVqNGDbVr106tW7d2GP/mm2/05Zdfav369eYEg+rXr6+YmBh9+eWX9hX4d+3apY4dOypPnjz67rvvtHz5cn344Yfat2+fyWmdy91LrHLlyqU8efI4rCFks9m0c+dOE9MBd1DSM5iKFSvq5ZdfTvEpX//+/bV8+XLt2LHDpGQ4derUA29nwTIgdeyMYF1XrlzRzZs3lS9fPiUnJ2v48OHasmWLChcurD59+tgXxII5vLy8tHPnzhRroRw7dkzly5fX1atXzQkGxcTEqFWrVoqMjLTPrEtMTNQLL7ygmTNnys/PT+vWrdPt27f10ksvmZzWuQQEBOjtt99OcekozDNmzBh16tRJHh4e990Z4S5nmflISc9gli9friZNmqhFixb2PZ8jIyM1Z84cLViwQI0bNzY3IAA8otKlS6tIkSIaMGBAqjsjeHt7m5QMsDZvb2+tX78+xV7pO3bsUM2aNZlKbQGHDh3SkSNHJN1Za+PemZBIf15eXtq9e7eCgoLMjoL/r2DBgtq+fbueeuopZj7+f5T0DOj777/XkCFDtHv3bvt1Gv369WMFShMsW7ZMdevWVebMmbVs2bIHHtuwYcN0SoX7OXPmjJYtW5bqfs8jR440KRXYGcG6VqxYIVdXV9WuXdthfPXq1UpKSlLdunVNSgZJatCggTw9PTVnzhz7fttJSUlq1qyZ4uLi9MMPP5icELCe9u3bq0KFCurcubPZUYD7oqQD/4CLi4tiYmLk6+ub6jXpdzFl13yRkZFq2LChgoKCdOjQIZUoUUInT56UYRgqW7as1q5da3ZEp8XOCNYVGhqqYcOGqV69eg7jK1eu1AcffKA9e/aYlAySdODAAVWvXl05cuTQc889J0natGmTrl27prVr1zrs/Ywn7+7aDVmzZlVERMQDj+WD4fT11ynUcXFxGjlypOrXr5/qQr/OMp3aqgYOHKgePXrYF8K868aNG/rss8+cZmE/SjoAp1CxYkXVrVtXAwYMsO/37Ovrq5YtW6pOnTp66623zI7otJYsWaI+ffqoZ8+e7IxgMZ6enjp48GCKVcJPnjyp4sWLKy4uzpxgsPv99981btw4h1WQ3333XeXMmdPsaE7n+eef15IlS5QjRw49//zz9z3OZrPxwXA6e9AU6r9ypunUVuXq6qpz586l2E7y8uXL8vX1dZqTXpT0DCBnzpw6cuSIcuXKJR8fnxTXa/7VlStX0jEZ7rp9+7bq1KmjiRMnqnDhwmbHQSqyZ8+u3bt3q1ChQvLx8dHmzZtVvHhx7dmzR40aNdLJkyfNjui02BnBuvLkyaPZs2fb10C568cff1SLFi104cIFk5IBAP6NXFxcdP78eeXOndthfO3atWrWrJkuXrxoUrL0xT7pGcCoUaOUPXt2+/8/qKTDHJkzZ9bevXvNjoEHyJo1q/069Lx58+r48eMqXry4JOnSpUtmRnN6UVFRZkfAfTRq1Ejvv/++lixZokKFCkm6s3J49+7dWWfDIq5evapt27alun1heHi4Salwr7uXIBQrVkzFihUzOw7+v7vnKvnZ2nx3T0TabDYVKVLE4TVJSkrS9evXnWodAc6kA2mkW7ducnd317Bhw8yOglQ0btxY9evXV8eOHdWjRw99++23atOmjRYvXiwfHx/9+OOPZkcELCc2NlZ16tTR9u3b9fTTT0u6swDjc889p8WLFytHjhzmBnRyy5cvV8uWLXX9+nV5eXml2O+Z2XXmee2111S9enW9++67unHjhkqVKmVfB2Xu3Llq2rSp2RGd2ldffaVRo0bp6NGjkqTChQvr/fffV4cOHUxO5rymT58uwzDUrl07jR492mFnFzc3NwUGBqpKlSomJkxflPQMZufOncqcObNKliwpSfr22281depUhYSEqH///nJzczM5ofPq0qWLZsyYocKFC6tcuXLKmjWrw+0sEmOuEydO6Pr16woNDVVcXJy6d+9u3+955MiR7GOfztgZIeMwDENr1qxxuOa5evXqZseCpCJFiqhevXoaMmRIikWWYK48efJo1apVKlWqlGbPnq1+/fppz549mj59uiZPnqxdu3aZHdFp9e3bVyNHjlSXLl3spW/r1q0aN26cunXrpoEDB5qc0Llt2LBBVatWVaZMzj3hm5KewVSoUEG9evVS06ZNdeLECYWEhKhJkyb69ddfVb9+fY0ePdrsiE6LRWKAh8fOCMA/lzVrVu3bt4/9ni3I09NTR44ckb+/v8LDw5UvXz4NGzZM0dHRCgkJ0fXr182O6LRy586tMWPGqHnz5g7jc+bMUZcuXbgEzmSckLzDuT+iyICOHDmi0qVLS5IWLFigGjVqaPbs2frpp5/0+uuvU9JNtG7dOrMjABnGX6+dvfc6WphrzJgx6tSpkzw8PBy2LUoNWxWZq3bt2tq+fTsl3YL8/f21detW5cyZUytXrtTcuXMlSX/88Yc8PDxMTufcbt++rfLly6cYL1eunBITE01IhL9688031atXL5UsWVInTpxQs2bN1KRJEy1YsEDx8fFO03Uo6RmMYRj2H2h//PFHvfzyy5Lu/GPAJ3/WcOzYMR0/flzVq1eXp6enfYVqAKmbMWOGmjVrJnd3d4fxW7duae7cuSx+lc5GjRqlli1bysPDQ6NGjbrvcTabjZJusvr166tnz546cOBAqtsXcqmIed5//321bNlS2bJlU4ECBVSzZk1J0saNG+1nCGGOVq1aacKECSkuQ5w8ebJatmxpUircxQnJO5junsHUqlVL/v7+CgsLU/v27XXgwAEFBwdrw4YNat26NdtImejy5ct67bXXtG7dOtlsNh09elRBQUFq166dfHx8NGLECLMjApbEnqjA4+FSEWvbvn27Tp8+rRdffFHZsmWTJH3//ffKkSOHqlatanI653V3DSF/f39VrlxZkvTLL78oOjpa4eHhDh92sZ5Q+vPy8tKOHTtUuHBhvfjii3r55ZfVtWtXRUdHq2jRorpx44bZEdMFZ9IzmLtnOJYuXaqPPvpIwcHBkqSFCxfq2WefNTmdc+vWrZsyZ86s6OhoPfPMM/bxZs2aKSIigpIO3Mf9ZpucOXPGYXVXAI64VMTaypcvr9DQUEVFRalQoULKlCmT6tevb3Ysp7d//36VLVtWknT8+HFJUq5cuZQrVy7t37/ffhyzIM1Rvnx5ffLJJwoLC9OGDRs0YcIESXe2a/Xz8zM5XfrhTPq/xM2bN+Xq6ppiqhvSz19Xcs2ePbv27NmjoKAgnThxQqGhoSwSYyHsi2oNZcqUkc1m0549e1S8eHGHlVyTkpIUFRWlOnXqaP78+SamdG5JSUmaNm2aIiMjU92HmwUxrePmzZtc62wh8fHx6tKli6ZPny7pzhTeoKAgdenSRfnz51evXr1MTghY0969e9WyZUtFR0crIiJC/fr1k3RnBsTly5c1e/ZskxOmD86kZzCtW7dW+/btU2x/wz/M5ouLi0t1C5wrV66kuNYW5pgxY4Y+++wz+76oRYoUUc+ePdWqVSuTkzmnxo0bS5J2796t2rVr26eDSv+3Jyp7CZura9eumjZtmurXr68SJUrwwZbFJCUlaciQIZo4caLOnz9vL4Iff/yxAgMD1b59e7MjOq3evXtrz549Wr9+verUqWMfDwsLU//+/SnpFnHmzBlJ0tNPP21yEtwVGhqqffv2pRj/7LPP5OrqakIic1DSM5jY2FiFhYUpICBAbdu2VevWrZU/f36zY0HSc889pxkzZmjQoEGS7pylTU5O1vDhwx+4PRvSx8iRI/Xxxx/r3XfftV8LuHnzZnXu3FmXLl1St27dTE7ofO5+Oh4YGKhmzZrxYaMFzZ07V/Pnz1e9evXMjoJUDB48WNOnT9fw4cPVsWNH+3iJEiU0evRoSrqJli5dqnnz5qly5coOH24VL17cPsUa5khOTtYnn3yiESNG2Gc5Zs+eXd27d9dHH330wLUeYB5n+xmB6e4Z0MWLFzVz5kxNnz5dBw4cUFhYmNq1a6fGjRsz3d1E+/fv1wsvvKCyZctq7dq1atiwoX777TdduXJFP/30kwoVKmR2RKdWsGBBDRgwIMVK4dOnT1f//v0VFRVlUjJI0tWrV7Vw4UIdP35cPXv2VM6cObVz5075+fnxQaSJ8uXLp/Xr16tIkSJmR0EqgoODNWnSJL3wwgsOl1kdOnRIVapU0R9//GF2RKeVJUsW7d+/X0FBQQ6vzZ49e1S9enXFxsaaHdFp9e7dW1999ZUGDBjg8KF9//791bFjRw0ePNjkhM4nZ86cOnLkiHLlyiUfH58Hztq6cuVKOiYzDyU9g9u5c6emTp2qL7/8UtmyZdMbb7yht99+W4ULFzY7mlOKjY3V2LFjtXfvXl2/fl1ly5bVO++8o7x585odzel5eHho//799sUW7zp69KhKliypmzdvmpQMe/fuVVhYmLy9vXXy5EkdPnxYQUFB6tOnj6KjozVjxgyzIzqtESNG6MSJExo3bhxT3S3I09NThw4dUkBAgEMRPHDggCpWrMhaKCaqXr26Xn31VXXp0kXZs2fX3r17VbBgQXXp0kVHjx7VypUrzY7otPLly6eJEyem2KLw22+/1dtvv62zZ8+alMx5TZ8+Xa+//rrc3d01bdq0B/5707p163RMZh6mu2dg586d05o1a7RmzRq5urqqXr162rdvn0JCQjR8+HCm75rA29tbffr0MTsGUhEcHKz58+frww8/dBifN28eH2qZrFu3bmrTpo2GDx+u7Nmz28fr1aunFi1amJgMmzdv1rp16/TDDz+oePHiKWZrLV682KRkkKSQkBBt2rRJAQEBDuMLFy5UmTJlTEoFSRoyZIjq1q2rAwcOKDExUV988YUOHDigLVu2aMOGDWbHc2pXrlxRsWLFUowXK1bMac7SWs1fi3ebNm3MC2IhlPQM5vbt21q2bJmmTp2q1atXKzQ0VO+//75atGghLy8vSdKSJUvUrl07SroJNm3apEmTJunEiRNasGCB8ufPr5kzZ6pgwYKqVq2a2fGc2oABA9SsWTNt3LjRPr3tp59+UmRkJKuHm2z79u2aPHlyivH8+fMrJibGhES4K0eOHHrllVfMjoH76Nu3r1q3bq2zZ88qOTlZixcv1uHDhzVjxgx99913ZsdzatWqVdPu3bs1bNgwlSxZUqtXr1bZsmW1detWlSxZ0ux4Tq1UqVIaN26cxowZ4zA+btw4lSpVyqRUuMvV1VXnzp2Tr6+vw/jly5fl6+urpKQkk5KlL0p6BpM3b14lJyerefPm2rZtm0qXLp3imOeff145cuRI92zObtGiRWrVqpVatmypnTt3KiEhQdKdKfBDhgzRihUrTE7o3Jo2bapffvlFo0aN0tKlSyVJzzzzjLZt28YZJ5O5u7vr2rVrKcaPHDmi3Llzm5AId02dOtXsCHiARo0aafny5Ro4cKCyZs2qvn37qmzZslq+fLlefPFFs+M5vUKFCmnKlClmx8A9hg8frvr16+vHH39UlSpVJElbt27V6dOn+VnNAu53JXZCQoLc3NzSOY15uCY9g5k5c6ZeffVVp1vhMCMoU6aMunXrpvDwcIdrA3ft2qW6detyRhC4jw4dOujy5cuaP3++cubMqb1798rV1VWNGzdW9erVNXr0aLMjAsDfSu3Dxvu5O/sR5vj99981fvx4HTp0SNKdD+3ffvtt5cuXz+RkzuvuzIZu3bpp0KBBDtuyJiUlaePGjTp58qR27dplVsR0RUkH0kiWLFl04MABBQYGOpT0EydOKCQkhIXJTHDt2jX7D0J/98MTPzCZJzY2Vv/5z3+0fft2/fnnn8qXL59iYmJUpUoVrVixQlmzZjU7olNbuHCh5s+fr+joaN26dcvhtp07d5qUCrAeFxeXh15g0Vmm7AIPq2DBgpKkU6dO6emnn3bYE93NzU2BgYEaOHCgKlWqZFbEdMV09wwmLi5Ow4YNU2RkpC5cuKDk5GSH20+cOGFSMuTJk0fHjh1TYGCgw/jmzZsVFBRkTign5+PjY7+uKUeOHKn+8GQYhmw2Gz8wmcjb21tr1qzRTz/9pD179th3RggLC7vvtDekjzFjxuijjz5SmzZt9O2336pt27Y6fvy4fv31V73zzjtmx3NKbFVkXevWrbP//8mTJ9WrVy+1adPGYUr19OnTNXToULMiQtLKlSuVLVs2+1pB48eP15QpUxQSEqLx48fLx8fH5ITO6e5WuM8//7wWL17s9K8DZ9IzmObNm2vDhg1q1aqV8ubNm+If565du5qUDEOHDtU333yjr7/+Wi+++KJWrFihU6dOqVu3bvr444/VpUsXsyM6nQ0bNqhq1arKlCnT366mW6NGjXRKhXt99tln6tmzZ4rxpKQkvfHGG5ozZ44JqSDdWe24X79+at68ucMMob59++rKlSsaN26c2RGdDlsVZQwvvPCCOnTooObNmzuMz549W5MnT9b69evNCQaVLFlSn376qX1XpPLly6t79+5at26dihUrxlocsARKegaTI0cOff/99/bVqWEdhmFoyJAhGjp0qOLj4yXdWRCrR48eGjRokMnpAOvy9fXV0KFD1b59e/tYUlKSXn/9de3fv18HDx40MZ1zy5Iliw4ePKiAgAD5+vpqzZo1KlWqlI4eParKlSvr8uXLZkcELClLlizas2dPii0+jxw5otKlS9t/TkD6y5Ytm/bv36/AwED1799f+/fv18KFC7Vz507Vq1ePNYQs4MyZM1q2bFmql1mNHDnSpFTpi+nuGYyPj49y5sxpdgykwmaz6aOPPlLPnj117NgxXb9+XSEhIQ4LXyB97d2796GPDQ0NfYJJ8CDff/+9XnrpJXl7e+s///mPEhMT9dprr+nQoUMO00eR/vLkyaMrV64oICBABQoU0M8//6xSpUopKiqKSxEsYMWKFXJ1dVXt2rUdxlevXq2kpCTVrVvXpGTw9/fXlClTNHz4cIfxL7/8Uv7+/ialgnTn+ua7H5L8+OOPCg8Pl3TnUpJHWfwPT0ZkZKQaNmyooKAgHTp0SCVKlNDJkydlGIbKli1rdrx0Q0nPYAYNGqS+fftq+vTpypIli9lxkAo3NzeFhISYHQOSSpcuLZvNZr/u/EG4Jt08FSpU0KJFi9S4cWO5ubnpq6++0rFjx7Ru3Tr5+fmZHc+p1apVS8uWLVOZMmXUtm1bdevWTQsXLtT27dvVpEkTs+M5vV69emnYsGEpxpOTk9WrVy9KuolGjRqlpk2b6ocffrAvdLVt2zYdPXpUixYtMjmdc6tWrZoiIiJUtWpVbdu2TfPmzZN0Z5bD008/bXI69O7dWz169NCAAQOUPXt2LVq0SL6+vmrZsqXq1Kljdrx0w3T3DKBMmTIOBePYsWMyDEOBgYHKnDmzw7GstGseFvWznlOnTtn/f9euXerRo4d69uzpsIjPiBEjNHz4cDVu3NiklLhr6dKlevXVV/XMM89o7dq1ypUrl9mRnF5ycrKSk5OVKdOdz/Tnzp2rLVu2qHDhwnrzzTedas9aK/L09NTBgwdTLFh68uRJFS9eXHFxceYEg6Q7U3YnTJhgv2TnmWeeUefOnTmTbrLo6Gi9/fbbOn36tN577z37pVbdunVTUlKSfSswmCN79uzavXu3ChUqJB8fH23evFnFixfXnj171KhRI508edLsiOmCM+kZAOUhY+jQocMDF/VD+gsICLD//6uvvqoxY8aoXr169rHQ0FD5+/vr448/5s9ZOrvfWdjcuXMrR44c6tSpk31s8eLF6RUL93BxcZGLi4v916+//rpef/11ExPhr7y9vXXixIkUJf3YsWNsXWgBTz/9tAYPHmx2DNyjQIEC+u6771KMjxo1yoQ0uFfWrFnt16HnzZtXx48fV/HixSVJly5dMjNauqKkZwD9+vUzOwIewg8//MCifha2b98++x6cf1WwYEEdOHDAhETOzdvbO9Xxe6+thfmuXr2qbdu2pTpD6O61nDBHo0aN9P7772vJkiUqVKiQpDsFvXv37mrYsKHJ6QDrSkpK0tKlS+2zHIoXL66GDRs67M0Nc1SuXFmbN2/WM888o3r16ql79+7at2+fFi9erMqVK5sdL90w3T2D2r59u/0vlpCQEJUrV87kRChYsKBWrFihZ555xuwoSEXZsmVVokQJffnll/Ypurdu3VKHDh20f/9+LhUxiWEYOn36tHLnzi1PT0+z4+Aey5cvV8uWLXX9+nV5eXk5zBCy2Wzsw22y2NhY1alTR9u3b7dfS3vmzBk999xzWrx4sXLkyGFuQMCCjh07pnr16uns2bMqWrSoJOnw4cPy9/fX999/b//AC+Y4ceKErl+/rtDQUMXFxal79+72y6xGjhzpMEvy34ySnsGcOXNGzZs3108//WT/x/fq1at69tlnNXfuXBa8MNE333yjb7/9lkX9LGrbtm1q0KCBDMOwr+S+d+9e2Ww2LV++XBUrVjQ5oXNKTk6Wh4eHfvvttxRbFcF8RYoUUb169TRkyBD+XrMowzC0Zs0a7dmzR56engoNDVX16tXNjgVYVr169WQYhmbNmmXfMeny5ct644035OLiou+//97khAAlPcOpU6eOrl69qunTpzt8+te2bVt5eXlp5cqVJid0XmXKlNHx48dZ1M/C4uLiNGvWLB06dEjSnUV8WrRowbWbJitevLi++uorp5rGllFkzZpV+/btU1BQkNlR8JCuXr3KGXTgAbJmzaqff/5ZJUuWdBjfs2ePqlatquvXr5uUDJIUFBSkX3/9VU899ZTD+NWrV1W2bFmnWYiZa9IzmA0bNmjLli32gi5JRYsW1dixY/Xcc8+ZmAwsPGZ9WbNmdViQDNYwbNgw9ezZUxMmTFCJEiXMjoO/qF27trZv305Jt6hPP/1UgYGBatasmSTptdde06JFi5QnTx6tWLFCpUqVMjkhLly4oMOHD0u68/Oar6+vyYng7u6uP//8M8X49evX2bHCAk6ePJnqtrgJCQk6e/asCYnMQUnPYPz9/XX79u0U40lJScqXL58JiXAXC/xZ24wZMx54OwtgmSc8PFzx8fEqVaqU3NzcUlybznXP6WvZsmX2/69fv7569uypAwcOqGTJkilmCLE4mbkmTpyoWbNmSZLWrFmjNWvW6IcfftD8+fPVs2dPrV692uSEzuvPP//U22+/rblz59oLh6urq5o1a6bx48ffd/FMPHkvv/yyOnXqpK+++sp+qdsvv/yizp0783eaif76b8+qVasc/owkJSUpMjIyxU4W/2ZMd89gvv32Ww0ZMkTjx49X+fLlJd1ZRK5Lly764IMPOJsL3IePj4/Dr2/fvq34+Hi5ubkpS5YsFEETTZ8+/YG3t27dOp2SQJLDlmsPYrPZUj3bgfTj6empI0eOyN/fX127dtXNmzc1adIkHTlyRJUqVdIff/xhdkSn1axZM+3atUtjx45VlSpVJElbt25V165dVbp0ac2dO9fkhM7r6tWrat26tZYvX27/4DExMVENGzbUtGnT+ADFJHf/7bHZbLq3nmbOnFmBgYEaMWKEXn75ZTPipTtKegbj4+Oj+Ph4JSYmKlOmOxMh7v7/vdfVUjqevJw5c+rIkSPKlSuXfHx8Hrg3Oq+H9Rw9elRvvfWWevbsydZfADKcfPnyaeHChXr22WdVtGhRffLJJ3r11Vd1+PBhVahQQdeuXTM7otPKmjWrVq1apWrVqjmMb9q0SXXq1FFcXJxJyXDX0aNHHdaoCQ4ONjkRpDu7Jf3666/KlSuX2VFMxXT3DGb06NFmR8BfjBo1StmzZ5fEa5MRFS5cWMOGDdMbb7xh/4ca5rp586Zu3brlMObl5WVSGsDamjRpohYtWqhw4cK6fPmy6tatK0natWsXhcNkTz31VKpnZL29vVPM7II5ChcuzK4iFhQVFZVizBkXxORMOgCntnv3blWvXp0zTiaKi4vTBx98oPnz5+vy5cspbmdKtXnee+89BQcH67333nMYHzdunI4dO8aHkya7ffu2vvjiC50+fVpt2rRRmTJlJP3fB8gdOnQwOaHzmjx5shYsWKCZM2cqT548kqSYmBi1bt1aTZo00ZtvvmlyQucSERHx0MeOHDnyCSbB37l3QcxXX31VixYtUt68eZ1qQUxKOpBG7lfybDab3N3dWTHUZH9dkES6s7fwuXPnNG7cOPn7++uHH34wKRneeecdrVu3ToMGDVKrVq00fvx4nT17VpMmTdKwYcPUsmVLsyM6rfz582vZsmUqV66cw/jOnTvVsGFDnTlzxqRkgPWUKVPG4bK3o0ePKiEhQQUKFJAkRUdHy93dXYULF2Zb1nT2/PPPP9RxNptNa9eufcJp8CAFCxbUrFmz9Oyzz2rNmjV67bXXNG/ePM2fP1/R0dFOsyAm092BNJIjR44HXpP+9NNPq02bNurXr99DL8yEtHPvooo2m025c+dWrVq1NGLECHNCQZK0fPlyzZgxQzVr1lTbtm313HPPKTg4WAEBAZo1axYl3USXL19Odcqul5eXLl26ZEIiwLpYvNe61q1bZ3YEPKSYmBj5+/tLkr777ju99tpreumllxQYGKhKlSqZnC79UNKBNDJt2jR99NFHatOmjX1Lj23btmn69Onq06ePLl68qM8//1zu7u768MMPTU7rfJKTk82OgPu4cuWKfR9uLy8v+yKL1apV01tvvWVmNKcXHByslStX6t1333UY/+GHH9g7HbgHW7EC/5yPj49Onz4tf39/rVy5Up988omkOzMgnenyN0o6kEamT5+uESNG6LXXXrOPNWjQQCVLltSkSZMUGRmpAgUKaPDgwZR0EwwcOFA9evRQlixZHMZv3Lihzz77TH379jUpGYKCghQVFaUCBQqoWLFimj9/vipWrKjly5c73UIxVhMREaF3331XFy9eVK1atSRJkZGRGjFiBNejA3/j6tWrWrhwoY4fP66ePXsqZ86c2rlzp/z8/JQ/f36z4zmVJk2aaNq0afLy8lKTJk0eeOzixYvTKRVSw4KYd3BNOpBGPD09tXfv3hQrhR49elSlSpVSfHy8oqKiVLx4ccXHx5uU0nm5urrq3Llz8vX1dRi/fPmyfH19nerTWasZNWqUXF1d9d577+nHH39UgwYNZBiGbt++rZEjR6pr165mR3RqEyZM0ODBg/X7779LkgIDA9W/f3+Fh4ebnAywrr179yosLEze3t46efKkDh8+rKCgIPXp00fR0dGaMWOG2RGdStu2bTVmzBhlz55dbdu2feCxU6dOTadUSA0LYt5BSf8XadeunZ5//nm1atXK7ChOqUiRImrSpImGDRvmMN6rVy8tWbJEhw8f1vbt29WoUSOdPXvWpJTOy8XFRefPn1fu3LkdxteuXatmzZrp4sWLJiXDvU6dOqUdO3YoODhYoaGhZsfB/3fx4kV5enoqW7ZsZkcBLC8sLExly5bV8OHDlT17du3Zs0dBQUHasmWLWrRooZMnT5odEYCFMd39X+TEiRNau3atRowYod27d5sdx+l8/vnnevXVV/XDDz+oQoUKkqTt27fr0KFDWrhwoSTp119/tW8pgfTh4+Mjm80mm82mIkWKOCzul5SUpOvXr6tz584mJsS9AgICFBAQYHYM/H+JiYlav369jh8/rhYtWkiSfv/9d3l5eVHYTXD377SHcXd9B6S/X3/9VZMmTUoxnj9/fsXExJiQCEBGQkn/F1m/fr0k6cCBA+YGcVINGzbUoUOHNGnSJB05ckSSVLduXS1dulSBgYGSxCJYJhg9erQMw1C7du00YMAAh5Wq3dzcFBgYqCpVqpiYENKdH2jXrVunCxcupFjkjz1rzXPq1CnVqVNH0dHRSkhI0Isvvqjs2bPr008/VUJCgiZOnGh2RKfDWgAZg7u7e6pbsx45ciTFjC6kr/Pnz6tHjx6KjIzUhQsXdO+kYi5/gxUw3T2DiYuLU9asWc2OAWQ4GzZsUNWqVZUpE59NWs2QIUPUp08fFS1aVH5+fg5nCdmz1lyNGzdW9uzZ9dVXX+mpp56yT9ldv369OnbsqKNHj5odEbCkDh066PLly5o/f75y5sypvXv3ytXVVY0bN1b16tX5sMVEdevWVXR0tN59913lzZs3xcyURo0amZQM+D+U9AwmW7Zseu2119SuXTtVq1bN7Di4x9WrV7Vt27ZUzwayyJK5du7cqcyZM6tkyZKSpG+//VZTp05VSEiI+vfvLzc3N5MTOi8/Pz99+umnatOmjdlRcI+nnnpKW7ZsUdGiRR2uqz158qRCQkJYBNNCbt68qVu3bjmMeXl5mZQGsbGx+s9//qPt27frzz//VL58+RQTE6MqVapoxYoVnHAxUfbs2bVp0yaVLl3a7Ci4R1JSkn766SeFhoY6/e4unFLKYL755htNmzZNtWrVUmBgoNq1a6fw8HDly5fP7GhOb/ny5WrZsqWuX78uLy+vFGcDKenmevPNN9WrVy+VLFlSJ06cULNmzdSkSRMtWLBA8fHxnNUwkYuLi6pWrWp2DKQiOTk51amfZ86cUfbs2U1IhL+Ki4vTBx98oPnz5+vy5cspbmfarnm8vb21Zs0abd68WXv37tX169dVtmxZhYWFmR3N6fn7+6eY4g5rcHV11UsvvaSDBw86fUl3MTsAHk3jxo21dOlSnT17Vp07d9bs2bMVEBCgl19+WYsXL1ZiYqLZEZ1W9+7d1a5dO12/fl1Xr17VH3/8Yf9i8R7zHTlyxP6p+YIFC1SjRg3Nnj1b06ZN06JFi8wN5+S6deum8ePHmx0DqXjppZccPsCy2Wy6fv26+vXrp3r16pkXDJKk//73v1q7dq0mTJggd3d3ffnllxowYIDy5cvHFl8mu3nzpiSpWrVqevvtt/Xf//6Xgm4Ro0ePVq9evVhh36JKlCihEydOmB3DdEx3/xcYO3asevbsqVu3bilXrlzq3LmzevXqpSxZspgdzalkzZpV+/btU1BQkNlRkAovLy/t2LFDhQsX1osvvqiXX35ZXbt2VXR0tIoWLaobN26YHdFpJScnq379+jpy5IhCQkKUOXNmh9sXL15sUjKcOXNGtWvXlmEYOnr0qMqXL6+jR48qV65c2rhxo3x9fc2O6NQKFCigGTNmqGbNmvLy8tLOnTsVHBysmTNnas6cOVqxYoXZEZ2Wh4eHKlasqBo1auj5559XlSpV5OnpaXYsp3XvrghxcXFKTExUlixZUvybw4kVc61cuVK9e/fWoEGDVK5cuRSXhjjLZTxMd8+gzp8/r+nTp2vatGk6deqU/vOf/6h9+/Y6c+aMPv30U/38889avXq12TGdSu3atbV9+3ZKukWVL19en3zyicLCwrRhwwZNmDBBkhQVFSU/Pz+T0zm39957T+vWrdPzzz+vp5566qG3l8KT9/TTT2vPnj2aO3eufcpu+/bt1bJlSwqHBVy5csX+b46Xl5e9XFSrVo3dREz2448/auPGjVq/fr1GjRqlxMRElS9fXjVq1FDNmjX14osvmh3RqXBJW8Zxd5ZWw4YNHX4eMAxDNpvNaS7j4Ux6BrN48WJNnTpVq1atUkhIiDp06KA33njD4bqN48eP65lnnkmxgAyerK+++koDBw5U27ZtVbJkyRSfzDZs2NCkZJCkvXv3qmXLloqOjlZERIT69esnSerSpYsuX76s2bNnm5zQeWXPnl1z585V/fr1zY4CZCihoaEaO3asatSoobCwMJUuXVqff/65xowZo+HDh+vMmTNmR4SkxMRE+77ps2bNuu9aDwDu7MbzIDVq1EinJOaipGcw3t7eat68udq3b68KFSqkesyNGzc0fPhwewlB+nBxuf8SD870yV9Gc/PmTbm6uqb4UAXpJyAgQKtWrVKxYsXMjoJU/P7779q8eXOqu1a89957JqWCJI0aNUqurq5677339OOPP6pBgwYyDEO3b9/WyJEj1bVrV7MjOrUjR45o/fr19q+EhARVr15dNWvW5LUxWVJSkpYsWaKDBw9KkkJCQtSoUSO2aYVlUNIzkMTERE2ePFlNmzZlei6Af42pU6dq5cqVmjp1KmtpWMy0adP05ptvys3NLcWlCDabjcV9LObUqVPasWOHgoODFRoaanYcp5Y/f37duHFDNWvWVM2aNVWjRg2FhoZyOY8F/Pbbb2rYsKFiYmJUtGhRSXc+UMmdO7eWL1+uEiVKmJwQV69e1VdffWX/EKV48eJq166dvL29TU6WfijpGUyWLFl08OBBBQQEmB0FD3Dz5k15eHiYHQPIEMqUKaPjx4/LMAwFBgammNWwc+dOk5LB399fnTt3Vu/evR84WwiAo9KlS+vQoUMqW7asvahXq1aNDyItoEqVKsqdO7emT58uHx8fSdIff/yhNm3a6OLFi9qyZYvJCZ3b9u3bVbt2bXl6eqpixYqSpF9//VU3btzQ6tWrVbZsWZMTpg9KegZTs2ZNvf/++2rcuLHZUXCPpKQkDRkyRBMnTtT58+d15MgRBQUF6eOPP1ZgYKDat29vdkTAkgYMGPDA27l0xzxPPfWUtm3bpkKFCpkdBal47733FBwcnOKyg3HjxunYsWMslmWyq1evauPGjdqwYYM2bNigAwcOqHTp0nr++ec1ePBgs+M5LU9PT23fvl3Fixd3GN+/f78qVKjAbi8me+655xQcHKwpU6bYLz9ITExUhw4ddOLECW3cuNHkhOmDkp7BzJ8/X71791a3bt1S3ZaA6W3mGThwoKZPn66BAweqY8eO2r9/v4KCgjRv3jyNHj1aW7duNTsiADyS//73v8qZM6d69epldhSkIn/+/Fq2bJnKlSvnML5z5041bNiQheMs4vLly1q/fr2+/fZbzZkzh4XjTFaqVCmNGjVKtWrVchhfu3atunbtqn379pmUDNKdD1F27dqVYp2aAwcOqHz58oqPjzcpWfqipGcwqU03tNlsTrctgRUFBwdr0qRJeuGFF5Q9e3bt2bNHQUFBOnTokKpUqaI//vjD7IgA8EiSkpL08ssv68aNG6nuWjFy5EiTkkG6sxf3/v37FRwc7DB+7NgxlShRQjdv3jQpGRYvXmxfMO7AgQPKmTOnqlWrZr8+vVSpUmZHdForVqzQf//7X/Xv31+VK1eWJP38888aOHCghg0bpmrVqtmPdZY9ua3Ez89PM2fO1EsvveQwvmrVKoWHh+v8+fMmJUtfLGGYwURFRZkdAfdx9uzZFD8oSVJycrJu375tQiI8rIEDB+r555/Xc889Z3YUwFKGDh2qVatW2RdXunfhOJgrODhYK1eu1Lvvvusw/sMPP9j3T4c5OnfurOrVq6tTp06qUaOGSpYsaXYk/H8vv/yyJOm1116z/z1295xlgwYN7L/m5Jc5mjVrpvbt2+vzzz/Xs88+K0n66aef1LNnTzVv3tzkdOmHkp7BnDp1Ss8++2yKLSISExO1ZcsWFpQzUUhIiDZt2pTiNVi4cKHKlCljUio8jKlTp2rYsGF64YUXtHz5crPjAJYxYsQIff3112rTpo3ZUZCKiIgIvfvuu7p48aJ96m5kZKRGjBjB9egmu3DhgtkRcB/r1q0zOwIe4PPPP5fNZlN4eLgSExMlSZkzZ9Zbb72lYcOGmZwu/TDdPYNxdXXVuXPn5Ovr6zB++fJl+fr68omfib799lu1bt1avXv31sCBAzVgwAAdPnxYM2bM0HfffacXX3zR7Ih4gBs3bmjdunWqV6+e2VEAy8iTJ482bdqkwoULmx0F9zFhwgQNHjxYv//+uyQpMDBQ/fv3V3h4uMnJAODxxcfH6/jx45KkQoUKOd3OCJT0DMbFxUXnz59X7ty5HcaPHDmi8uXL69q1ayYlgyRt2rRJAwcO1J49e3T9+nWVLVtWffv2TXFdDQBkBEOHDtW5c+c0ZswYs6Pgb1y8eFGenp7Kli2b2VEAAP8QJT2DaNKkiaQ7Z2vr1Kkjd3d3+21JSUnau3evihYtqpUrV5oVEbC0qVOnKlu2bHr11VcdxhcsWKD4+Hi1bt3apGR4ENYLMNcrr7yitWvX6qmnnlLx4sVTLBy3ePFik5IBAPDvxTXpGYS3t7ekOwtZZM+eXZ6envbb3NzcVLlyZXXs2NGseIDlDR06VJMmTUox7uvrq06dOlHSLYr1AsyVI0cO+4fEsIayZcsqMjJSPj4+KlOmzAMX8Nu5c2c6JgMApBVKegYxdepUSXeuNevRo0eK/dEBPFh0dLQKFiyYYjwgIEDR0dEmJMLDiIqKsq8XgPR3998eWEejRo3ss+kaNWrEKvsWdPv2bXl6emr37t0qUaKE2XEAZEBMd89gbty4IcMw7IsnnDp1SkuWLFFISAjXPQMPUKBAAY0bN04NGzZ0GP/222/1zjvv6MyZMyYlAwD82wQFBWnJkiXshw7gsbiYHQCPplGjRpoxY4Yk6erVq6pYsaJGjBihRo0aacKECSanA6yrefPmeu+997Ru3TolJSUpKSlJa9euVdeuXfX666+bHc/pbdq0SW+88YaqVKmis2fPSpJmzpypzZs3m5wMsK6goCBdvnw5xfjVq1fZJ91kH330kT788ENduXLF7Ch4BLVq1dKgQYMUHx9vdhSnNX36dH3//ff2X//3v/9Vjhw59Oyzz+rUqVMmJktflPQMZufOnfYFlBYuXKg8efLo1KlTmjFjBqvvWsStW7d0+PBh+96OsIZBgwapUqVKeuGFF+Tp6SlPT0+99NJLqlWrloYMGWJ2PKe2aNEi1a5dW56entq1a5cSEhIkSbGxsbw2wAOcPHky1a1XExISmB1ksnHjxmnjxo3Kly+fihYtqrJlyzp8wZoKFCigyMhIFStWzOwoTmvIkCH2tbe2bt2q8ePHa/jw4cqVK5e6detmcrr0wzXpGUx8fLyyZ88uSVq9erWaNGkiFxcXVa5c2ak+XbKi+Ph4denSRdOnT5d0Z1u8oKAgdenSRfnz51evXr1MTujc3NzcNG/ePA0aNEh79uyRp6enSpYsqYCAALOjOb1PPvlEEydOVHh4uObOnWsfr1q1qj755BMTkwHWtGzZMvv/r1q1yr64rHRnx5fIyMhU1+BA+mncuLHZEfAYpk2bJklsaWyi06dPKzg4WJK0dOlSNW3aVJ06dVLVqlVVs2ZNc8OlI0p6BhMcHKylS5fqlVde0apVq+yfKF24cEFeXl4mp3NuvXv31p49e7R+/XrVqVPHPh4WFqb+/ftT0i2iSJEiKlKkiNkx8BeHDx9W9erVU4x7e3vr6tWr6R8IsLi7BdBms6XYmeL/sXfncTWm///AX6e07ytFqxRtRJZkK9lHlDEIUdkGidJkhpB93400KHv2beySKEsohdK+WEpE0iJtvz/6dj4dJ8Z8fjNd53zu9/Px8HjUdd9/vB7T1Lmv+7qu91tKSgqGhoZYv349g2Sk3qJFi1hHIF+RmZn5l8dB6JmaHUVFRRQWFkJfXx9XrlyBr68vAEBWVhbl5eWM0zUdmqSLmYULF8LNzQ1z5sxB3759YWdnB6BuVd3GxoZxOm47ffo0jhw5gm7duglU27WwsEBGRgbDZNzl6+uLpUuXQkFBgf9H/ms2bNjQRKnIl1q0aIH09HQYGhoKjEdHR9O5WhG2b98+2Nvbo3Xr1qyjcE5NTQ0AwMjICPfv34empibjRORrHj58iOTkZAB1zwP0rMaeiYkJevfuDS8vL/z444+QlZVlHYk00K9fP0yaNAk2NjZITU3F4MGDAQBPnz4Vek74X0aTdDHz448/okePHsjLyxOoGNq3b1+4uLgwTEbevHkDbW1tofHS0lJqkcNIfHw8Kisr+V9/Df182Jo8eTJ8fHywZ88e8Hg8vHr1Cnfu3MHcuXMRGBjIOh75iokTJ0JKSgpTpkzB1q1bWcfhpKysLNYRyFcUFBRg9OjRuHHjBlRVVQHUFfRzcHBAeHg4tLS02AbksLi4OISGhsLX1xczZ87EqFGj4OXlhS5durCORgBs374dCxYswPPnz3HixAloaGgAqHvhNWbMGMbpmg61YCPkH9KrVy+MHDkS3t7eUFJSQmJiIoyMjODt7Y20tDRcunSJdURCRFJtbS1WrFiBlStX8ivqysjIYO7cuVi6dCnjdORbsrKycPHiRUyfPp11FM7YsmULpkyZAllZ2b8sGDtr1qwmSkW+NGrUKGRmZmLfvn1o164dACApKQkTJkyAiYkJDh8+zDghqaqqwtmzZxEWFoZLly7B1NQUnp6eGD9+PL1EIczRJF0MuLq6IiwsDMrKynB1df3mvSdPnmyiVORL0dHRGDRoEMaNG4ewsDBMnToVSUlJuH37NqKiotCpUyfWEUkDxcXFuH79Otq2bUtVXEXE58+fkZ6ejpKSEpibm0NRUZF1JEJEjpGRER48eAANDY1vFofj8XjIzMxswmSkIRUVFVy7dg2dO3cWGI+NjUX//v2p3oYIqaiowO+//45ff/0Vnz9/hrS0NH766SesXr0aOjo6rONxTmhoKBQVFTFy5EiB8WPHjqGsrEyoDsf/KtruLgZUVFT423EbVnAloqVHjx5ISEjAypUrYWVlhStXrqBjx464c+cOrKysWMfjvJ9++gm9evXCzJkzUV5eDltbW2RnZ6O2thbh4eEYMWIE64ic9eHDB1RXV0NdXR3m5ub88Xfv3qFZs2ZUwKeJ/Z2qxvSzaXoNt7jTdnfRVVNTAykpKaFxKSkpfk0BwtaDBw+wZ88ehIeHQ0FBAXPnzoWXlxdevHiBoKAgDBs2DLGxsaxjcs7KlSuxc+dOoXFtbW1MmTKFM5N0Wkkn5B9QWVmJqVOnIjAwkNreiKgWLVrg8uXLaN++PQ4dOoRFixYhISEBe/fuRUhIyDfPrJN/16BBgzB06FChLdPBwcE4e/YsLly4wCgZN0lISPxlnYba2lrweLxGe3QTQoBhw4ahqKgIhw8fhq6uLgDg5cuXGDt2LNTU1HDq1CnGCblrw4YNCA0NRUpKCgYPHoxJkyZh8ODBkJCQ4N/z4sULGBoaoqqqimFSbpKVlcWzZ8+EisRlZ2ejXbt2nKnwTivphPwDpKSkcOLECSpyJcI+fPgAdXV1AMClS5cwYsQIyMvLY8iQIfD392ecjtvu3bvXaHX9Pn36YP78+QwScVtkZCTrCOQb/qpTRUPUtYKdbdu2wdnZGYaGhtDT0wNQ1//Z0tISBw4cYJyO23bs2AFPT09MnDjxq9vZtbW1sXv37iZORoC6//aJiYlCk/SEhAR+ETkuoEm6mCksLMTChQsRGRmJgoICoS1T7969Y5SMDB8+HKdPn+b3rieiRU9PD3fu3IG6ujouXbqE8PBwAMD79++p/QpjFRUVja5WVFZWcuaNuSjp3bs36wjkG7531w91rWBLT08PcXFxuHbtGp49ewYAaNeuHZycnBgn47aqqiqMHTsW48eP/+Z5c2lpac5sqxY1Y8aMwaxZs6CkpIRevXoBAKKiouDj44PRo0czTtd0aLu7mBk8eDDS09Ph5eWF5s2bC30I0x8UdpYtW4b169ejb9++6NSpExQUFASuU5Vdtn7//Xf4+PhAUVERBgYGiIuLg4SEBLZu3YqTJ0/S6iFDDg4OsLS0FGrjNWPGDCQmJuLWrVuMkpF6ZWVlyM3NxefPnwXGra2tGSUihJD/jpKSEh4/fsypntvi5PPnzxg/fjyOHTuGZs3q1pNramrg7u6O4OBgSEtLM07YNGiSLmaUlJQQHR0t0COdiAaqsiv6Hjx4gOfPn6Nfv378yuHnz5+Hqqoq7O3tGafjrpiYGDg5OaFz587o27cvACAiIgL379/HlStX0LNnT8YJuevNmzfw8PDAxYsXG71OZ9JFx4sXLwAArVq1YpyEENE2bNgwuLq60sKWiEtNTUVCQgLk5ORgZWUFAwMD1pGaFG13FzNt27al7Z8iiqrsij5bW1vY2toKjA0ZMoRRGlLP3t4ed+7cwdq1a3H06FHIycnB2toau3fvRps2bVjH47TZs2ejqKgI9+7dQ58+fXDq1Cm8fv2av3OIsFVTU8P/WZSUlACoe5nv5+eH+fPnCxTCIoTUGTRoEObNm4fHjx83uvPR2dmZUTLSkKmpKUxNTVnHYIZW0sXM/fv3MW/ePCxcuBCWlpZC7T2oHQ4hjfP09Pzm9T179jRREkLEh46ODs6cOYMuXbpAWVkZDx48gKmpKc6ePYs1a9YgOjqadURO+/XXX7F7924EBQXxdwNFR0dj8eLFmDx5MpYvX844ISGi51svr6hrBRu+vr5YunQpFBQU/rI4JlcKYtJKuphRVVVFcXExHB0dBcapHY5oePHiBc6ePdvo2U2u/FERVe/fvxf4vrKyEk+ePEFRUZHQ7xNpejU1NUhPT2+0IGZ94RjS9EpLS6GtrQ0AUFNTw5s3b2BqagorKyvExcUxTkf27t2LXbt2Caz8WVtbo2XLlpg+fTpN0glpBPWpFz3x8fGorKzkf01oki52xo4dCykpKRw6dKjRwnGEnYiICDg7O8PY2BjPnj2DpaUlsrOzUVtbi44dO7KOx3mN9aStqanBzz//jNatWzNIROrdvXsXbm5uyMnJwZebu+jlI1tmZmZISUmBoaEh2rdvj507d8LQ0BDBwcHfrIxMmsa7d+/Qtm1bofG2bdtStxfGJCUlkZeXx3/JVa+wsBDa2tr0d42QBhoW76VCvnVou7uYkZeXR3x8PMzMzFhHIV/o0qULBg0ahKCgICgpKSEhIQHa2toYO3YsBg4ciJ9//pl1RNKIlJQU9OnTB3l5eayjcFaHDh1gamqKoKAg6OjoCL18VFFRYZSMHDhwAFVVVZg4cSIePnyIgQMH4t27d5CWlkZYWBhGjRrFOiKnde3aFV27dsWWLVsExr29vXH//n3cvXuXUTIiISGB/Px8oUn6q1ev0Lp1a6ovxFhUVBTWrVuH5ORkAIC5uTn8/f2pUKkI8PT0xObNm6GkpCQwXlpaCm9vb84cT6RJupjp1asXFi5cSH02RZCSkhIePXqE1q1bQ01NDdHR0bCwsEBCQgKGDRuG7Oxs1hFJIy5cuIAJEybgzZs3rKNwloKCAhISEmBiYsI6CvkLZWVlePbsGfT19aGpqck6DudFRUVhyJAh0NfXh52dHQDgzp07eP78OS5cuEATDgbqX5jMmTMHS5cu5XcSAeq6Idy8eRPZ2dm0pZehAwcOwMPDA66urvxaDjExMTh16hTCwsLg5ubGOCG3fW0Xytu3b9GiRQtUVVUxSta0aLu7mPH29oaPjw/8/f1hZWUlVDiOetayo6CgwD+HrqOjg4yMDFhYWACo+8NC2PqyEEltbS3y8vJw/vx5asPCWNeuXZGenk6TdDEgLy9Px3dESO/evZGamort27fj2bNnAABXV1dMnz4durq6jNNx08aNGwHUfcYEBwdDUlKSf01aWpp/XISws3z5cqxZswZz5szhj82aNQsbNmzA0qVLaZLOSHFxMWpra1FbW4uPHz9CVlaWf626uhoXLlwQmrj/L6OVdDHTWEVKHo9HheNEwPDhwzFkyBBMnjwZc+fOxZkzZzBx4kScPHkSampquHbtGuuInObg4CDwvYSEBLS0tODo6AhPT080a0bvLFk5deoUFixYQC8fRdCIESPQpUsXBAQECIyvWbMG9+/fx7FjxxglI0S0OTg48D//iWiRkZHB06dPhV4Mp6enw9LSEp8+fWKUjNskJCS+WWuLx+MhKCgI8+fPb8JU7NAkXczk5OR887qBgUETJSFfyszMRElJCaytrVFaWgo/Pz/cvn0bbdq0wYYNG+hnQ8hX0MtH0aWlpYXr16/DyspKYPzx48dwcnLC69evGSUj9d6/f4/du3cLnK318PCAuro642SEiCYTExP4+/tj6tSpAuPBwcFYv3490tLSGCXjtqioKNTW1sLR0REnTpwQ+BsmLS0NAwMDTu0Qokk6IYQQpujlo+iSk5PDo0ePhIqVPnv2DDY2NlT8irGbN29i6NChUFFRga2tLQDg4cOHKCoqwrlz56h9IUPV1dUICwtDREREo60lr1+/zigZ2bFjB2bPng1PT090794dQN2Z9LCwMGzevFlo8k6aVk5ODvT09L7Zz54LaJIuhvbv34/g4GBkZWXhzp07MDAwwKZNm2BkZIRhw4axjsdZCxcuhIODA+zs7ATO0RDRUFhYiIULFyIyMrLRByZqV0SIsC5duuCHH37AwoULBcYXL16Mc+fO4eHDh4ySEQCwsrKCnZ0dduzYwT/7XF1djenTp+P27dt4/Pgx44TcNXPmTISFhWHIkCGNdq2oP7tO2Dh16hTWr1/P34HSrl07+Pv703O0CCkrK0Nubi6/3lM9rhyBo0m6mNmxYwcWLlyI2bNnY/ny5Xjy5AmMjY0RFhaGvXv3Um9Bhvr164c7d+6gqqoKnTt3Ru/evdGnTx/Y29tDTk6OdTzOGzx4MNLT0+Hl5YXmzZsLPTBR8Tj2kpKSGv1AdnZ2ZpSInDt3Dq6urnBzc4OjoyMAICIiAocPH8axY8cwfPhwtgE57ms7HVJSUtChQwfa6cCQpqYm9u3bh8GDB7OOQohYefPmDTw8PHDx4sVGr3PlCBxVShIzW7duxR9//IHhw4dj1apV/HFbW1vMnTuXYTJy9epVVFVV4d69e7h58yaioqKwZcsWVFRUoHPnzoiOjmYdkdNu3bqF6OhotG/fnnUU8oXMzEy4uLjg8ePH/LPoAPgvUrjygSyKhg4ditOnT2PFihU4fvw45OTkYG1tjWvXrqF3796s43Fex44dkZycLDRJT05Opr91jElLS1PHChFlbGyM+/fvQ0NDQ2C8qKgIHTt2RGZmJqNkBABmz56NoqIi3Lt3D3369MGpU6fw+vVrLFu2DOvXr2cdr8nQJF3MZGVlwcbGRmhcRkYGpaWlDBKRhpo1awZ7e3toaWlBXV0dSkpKOH36NL81DmGnbdu2tKokonx8fGBkZISIiAgYGRkhNjYWhYWF8PPzw7p161jH47whQ4ZgyJAhrGOQRsyaNQs+Pj5IT09Ht27dAAB3797F9u3bsWrVKiQmJvLv5coWUVHh5+eHzZs3Y9u2bd+sWE2aXnZ2dqMvfysqKvDy5UsGiUhD169fx5kzZ2BrawsJCQkYGBigX79+UFZWxsqVKznzeUSTdDFjZGSER48eCRVSunTpEtq1a8coFQGAkJAQ3LhxA1FRUaioqEDPnj3Rp08fLFiwgB6ORMDvv/+OefPmYeHChbC0tBRq86WsrMwoGblz5w6uX78OTU1NSEhIQEJCAj169MDKlSsxa9YsxMfHs45IiEgaM2YMAOCXX35p9Bp1SWAnOjoakZGRuHjxIiwsLIQ+c06ePMkoGXedPXuW//Xly5ehoqLC/766uhoREREwNDRkkIw0VFpayu+Hrqamhjdv3sDU1BRWVlaIi4tjnK7p0CRdzPj6+mLGjBn49OkTamtrERsbi8OHD2PlypXYtWsX63icNm3aNGhpacHPzw/Tp0+HoqIi60ikAVVVVRQXF/PP1dajB1j2qquroaSkBKDuHOerV69gZmYGAwMDpKSkME7HPerq6khNTYWmpibU1NS+uQpIBRfZysrKYh2BfIWqqipcXFxYxyAN1NfQ4PF4QnVopKSkYGhoyKnt1KLKzMwMKSkpMDQ0RPv27bFz504YGhoiODgYOjo6rOM1GZqki5lJkyZBTk4OCxYsQFlZGdzc3KCrq4vNmzdj9OjRrONx2smTJ3Hz5k2Eh4dj0aJFsLGxQZ8+fdCnTx/06NED8vLyrCNy2tixYyElJYVDhw41WjiOsGNpaYmEhAQYGRmha9euWLNmDaSlpRESEgJjY2PW8Thn48aN/JcmmzZtYhuGfBO1JxRdoaGhrCOQL9R3dTEyMsL9+/ehqanJOBFpjI+PD/Ly8gAAixYtwsCBA3Hw4EFIS0sjLCyMbbgmRNXdxVhZWRlKSkr4W0KI6Pjw4QNu3bqFY8eO4fDhw5CQkMCnT59Yx+I0eXl5xMfHCxVYIuxdvnwZpaWlcHV1RXp6On744QekpqZCQ0MDR44cEdr9QJpGVVUVDh06hAEDBqB58+as4xAidqqqqnDjxg1kZGTAzc0NSkpKePXqFZSVlWm3nYgpKiqCqqoq6xikEWVlZXj27Bn09fU59WKFJumE/IMKCwsRFRWFGzdu4MaNG3j69CnU1NTQs2dPnDp1inU8TuvVqxcWLlwIJycn1lHId3j37t1fbrUm/z55eXkkJyfTii0hf1NOTg4GDhyI3NxcVFRUIDU1FcbGxvDx8UFFRQWCg4NZR+Ss1atXw9DQEKNGjQIAjBw5EidOnICOjg4uXLhAnRGISKDt7mLm9evXmDt3LiIiIlBQUIAv37HQuVp2rKyskJycDDU1NfTq1QuTJ09G7969qWiciPD29oaPjw/8/f1hZWUlVMSHfk6iRV1dnXUEAqBLly6Ij4+nSTohf5OPjw9sbW2RkJAg0OrLxcUFkydPZpiMBAcH4+DBgwDq2udeu3YNly5dwtGjR+Hv748rV64wTshttbW1OH78OCIjI1FQUMA/plCPK0UXaZIuZiZOnIjc3FwEBgZCR0eHVplEyLRp09C7d29YWlqyjkIaUf/G3NPTkz9GlY9FQ2lpKVatWsV/+fjlBzL1rGVn+vTp8PPzw4sXL9CpUycoKCgIXKeXW4Q07tatW7h9+zakpaUFxg0NDanNF2P5+fnQ09MDAPz555/46aef0L9/fxgaGqJr166M05HZs2dj586dcHBw4HQNIZqki5no6GjcunULHTp0YB2FfKGwsLDRIlfl5eVYu3YtFi5cyCAVqUdVkEXXpEmTEBUVhfHjx9PLRxFTX5B01qxZ/DF6uUXIX6upqWn09+PFixf8woyEDTU1NTx//hx6enq4dOkSli1bBqBuBZf+prG3f/9+nDx5EoMHD2YdhSk6ky5mzM3NcfDgQdjY2LCOQr4gKSmJvLw8oUJ+hYWF0NbWpj/8hHyFqqoqzp8/D3t7e9ZRyBdycnK+eZ22wYsuIyMjODo6YunSpdDV1WUdh3NGjRoFFRUVhISEQElJCYmJidDS0sKwYcOgr69P1d8ZmjlzJv7880+0adMG8fHxyM7OhqKiIsLDw7FmzRpO9eIWRUZGRrh48SLatm3LOgpTEqwDkL9n06ZNmDdvHrKzs1lHIV+oX1n6UkJCAp2vJeQb1NTU6HdEROXk5KBly5YwMDAQ+NeyZcu/nMATtiZMmIDq6mp6+cXI+vXrERMTA3Nzc3z69Alubm78re6rV69mHY/TNm7ciJkzZ8Lc3BxXr17lV9rPy8vD9OnTGacjixcvRlBQEMrLy1lHYYpW0sXAlxWOS0tLUVVVBXl5eaHiV+/evWvqeJxX//P58OEDlJWVBX5W1dXVKCkpwbRp07B9+3aGKQkRXQcOHMCZM2ewd+9eyMvLs45DGqAdQoT896qqqhAeHo7ExESUlJSgY8eOGDt2LOTk5FhHI0RklZeXw8XFBTExMTA0NBSa63BlpwOdSRcDmzZtYh2BfMOmTZtQW1sLT09PBAUFQUVFhX9NWloahoaGsLOzY5iQENG2fv16ZGRkoHnz5pz+QBZFX9shVFhYKFREjjS9yMhIODg4sI5BvqJZs2YYN24c6xgEwNmzZzFo0CBISUnh7Nmz37zX2dm5iVKRxkyYMAEPHz7EuHHjOF04jlbSCfn/0LFjR0REREBNTQ0ODg44d+4cf9sUIeT7BAUFffP6okWLmigJqefq6goAOHPmDAYOHAgZGRn+terqaiQmJsLMzAyXLl1iFZEAkJGRQatWreDh4YEJEybwK1YT0fDq1StER0c32rWiYTFG8u+TkJBAfn4+tLW1ISHx9dO+VBCTPQUFBVy+fBk9evRgHYUpWkkXMxcuXICkpCQGDBggMH7lyhVUV1dj0KBBjJJxU3JyMkpLS6GmpoabN2+ivLycJumE/E00CRc99TuCamtroaSkJLA9V1paGt26daNezyLg5cuX2L9/P/bu3YugoCA4OjrCy8sLw4cPF2r9RZpWWFgYpk6dCmlpaWhoaAisBvJ4PJqkN7GGL0m+fGFCRIuenh6UlZVZx2COVtLFjLW1NVatWiXUluDSpUsICAhAQkICo2TcZGdnB0VFRfTo0QNBQUGYO3fuVyfp1IJNdFEVZEIaFxQUBH9/f6oVIAbi4uIQGhqKw4cPAwDc3Nzg5eWF9u3bM07GTXp6epg2bRp+/fXXb67cEkIEnT9/Hlu3bkVwcDAMDQ1Zx2GGJuliRk5ODsnJyUL/02ZnZ8PCwgKlpaVsgnFUSkoKFi1ahIyMDMTFxcHc3BzNmglvUOHxeHSuVoQtXrwY2dnZiIqKon7qTURdXR2pqanQ1NQUKo75JSqIyU5WVhaqqqrQpk0bgfG0tDRISUlx+gFKFL169QohISFYtWoVmjVrhk+fPsHOzg7BwcGwsLBgHY9TNDQ0EBsbi9atW7OOQhoRERGBiIiIRo8i7Nmzh1EqAtQVZC4rK+N8kWza7i5mVFRUkJmZKfRglJ6eTkV8GDAzM0N4eDiAuvNOERERQlWQiehbvHgx6wics3HjRigpKQGg4piibOLEifD09BSapN+7dw+7du3CjRs32AQjfJWVlThz5gz27NmDq1evwtbWFtu2bcOYMWPw5s0bLFiwACNHjkRSUhLrqJzi5eWFY8eOYd68eayjkC8EBQVhyZIlsLW1hY6ODmcLk4kqeiaoQyvpYmbq1Km4c+cOTp06xX87m56ejhEjRqBz587YtWsX44SEEPLXfH19sXTpUigoKODmzZvo3r17o7tQCFvKysqIi4uDiYmJwHh6ejpsbW1RVFTEJhgBAHh7e+Pw4cOora3F+PHjMWnSJFhaWgrck5+fD11dXTqH28Sqq6vxww8/oLy8HFZWVkKrgRs2bGCUjOjo6GDNmjUYP3486yiEfBU9EYmZNWvWYODAgWjbti1atWoFAHjx4gV69uyJdevWMU5HMjIysGnTJiQnJwMAzM3N4ePjQ9vdREB1dTXCwsK+ur3t+vXrjJJx09atWxEQEAAFBQU4ODg02oubsMfj8fDx40eh8Q8fPlAFZBGQlJSErVu3wtXVVaACf0OampqIjIxs4mRk5cqVuHz5MszMzABAqHAcYefz58/o3r076xjkGzIyMhAaGoqMjAxs3rwZ2trauHjxIvT19TlzdIdW0sVQbW0trl69ioSEBMjJycHa2hq9evViHYvzLl++DGdnZ3To0AH29vYAgJiYGCQkJODcuXPo168f44TcNnPmTISFhWHIkCGNbm/buHEjo2Tc1KZNG/z000/o378/HBwccOrUKaipqTV6L/19Y2fo0KGQk5PD4cOHISkpCaDuhdeoUaNQWlqKixcvMk5IiGhSU1PDxo0bMXHiRNZRyBcCAgKgqKiIwMBA1lFII6KiojBo0CDY29vj5s2bSE5OhrGxMVatWoUHDx7g+PHjrCM2CZqkE/IPsbGxwYABA7Bq1SqB8Xnz5uHKlStUOI4xTU1N7Nu3T6gzAmHj9OnTmDZtGgoKCsDj8fC1jyLqWctWUlISevXqBVVVVfTs2RMAcOvWLRQXF+P69etCW6tJ0zp79myj4zweD7KysjAxMYGRkVETpyIA0KJFC9y6dUuongNhw9fXl/91TU0N9u7dC2tra1hbW9NRBBFjZ2eHkSNHwtfXF0pKSkhISICxsTFiY2Ph6uqKFy9esI7YJGiSTsg/RFZWFo8fPxb6QE5NTYW1tTU+ffrEKBkBAF1dXdy4cQOmpqaso5AGSkpKoKysjJSUlK9ud6/v2U3YePXqFbZt2yawe2vmzJlQV1dnHY3zJCQkGn3JVT/G4/HQo0cPnD59+qs7Vci/Y+XKlcjLy8OWLVtYRyEAHBwcvus+Ho9Hx98YU1RUxOPHj2FkZCQwSc/Ozkbbtm058zxNZ9IJ+YdoaWnh0aNHQpP0R48e0VlbEeDn54fNmzdj27ZtdB5QhCgqKiIyMhJGRkZUOE5E6erqYsWKFaxjkEZcvXoV8+fPx/Lly9GlSxcAQGxsLAIDA7FgwQKoqKhg6tSpmDt3Lnbv3s04LbfExsbi+vXr+PPPP2FhYSG0Wnvy5ElGybiJ6jKID1VVVeTl5QntAoqPj0fLli0ZpWp69EREyD9k8uTJmDJlCjIzM/kFSWJiYrB69WqBbVaEjejoaERGRuLixYv0wCRievfuzToC+YZbt25h586dyMzMxLFjx9CyZUvs378fRkZG6NGjB+t4nObj44OQkBCBIlh9+/aFrKwspkyZgqdPn2LTpk3w9PRkmJKbVFVV4erqyjoGIWJn9OjRCAgIwLFjx8Dj8VBTU4OYmBjMnTsX7u7urOM1GZqkE/IPCQwMhJKSEtavX49ff/0VQN0K1OLFizFr1izG6YiqqipcXFxYxyBErJw4cQLjx4/H2LFjERcXh4qKCgB11d1XrFiBCxcuME7IbRkZGVBWVhYaV1ZWRmZmJoC6Io1v375t6micFxoayjoCIWJpxYoVmDFjBvT09FBdXQ1zc3NUV1fDzc0NCxYsYB2vydCZdEL+BfUti5SUlBgnIYSQ/56NjQ3mzJkDd3d3gbOB8fHxGDRoEPLz81lH5LQePXpASUkJ+/btg5aWFgDgzZs3cHd3R2lpKW7evIlr165hxowZSElJYZyWmwoKCvj/7c3MzOj4GyHfKTc3F0+ePEFJSQlsbGw4V4RRgnUA8s+RkJCAo6MjHj58yDoKJ5WXl6OsrAxA3eT83bt32LRpE65cucI4GSGE/HdSUlIabYGnoqKCoqKipg9EBOzevRtZWVlo1aoVTExMYGJiglatWiE7Oxu7du0CUFeckUurT6KiuLgY48ePR8uWLdG7d2/07t0bLVu2xLhx4/DhwwfW8QgRefr6+hg8eDB++uknzk3QAdru/j9lz549yM7OxowZM3D37l3WcThn2LBhcHV1xbRp01BUVIQuXbpAWloab9++xYYNG/Dzzz+zjshpNjY2jRaMa9iqaOLEid9dAZYQLmjRogXS09NhaGgoMB4dHQ1jY2M2oQifmZkZkpKScOXKFaSmpvLH+vXrBwmJunWY4cOHM0zIXZMnT0Z8fDz+/PNP2NnZAQDu3LkDHx8fTJ06FeHh4YwTEiKaqqurERYWhoiICBQUFKCmpkbgOleq79N2d0L+IZqamoiKioKFhQV27dqFrVu3Ij4+HidOnMDChQuRnJzMOiKn/frrr9ixYwesrKz4VZDv37+PxMRETJw4EUlJSYiIiMDJkycxbNgwxmlJPU9PTzg4OGD8+PGso3DSypUrceDAAezZswf9+vXDhQsXkJOTgzlz5iAwMBDe3t6sIxIikhQUFHD58mWh4oq3bt3CwIEDUVpayigZ+ZabN2+iffv21PqToZkzZyIsLAxDhgyBjo6O0ALLxo0bGSVrWrSSLmZCQ0MxatQoyMvLs45CvlBWVsY/g37lyhW4urpCQkIC3bp1Q05ODuN05O3bt/Dz80NgYKDA+LJly5CTk4MrV65g0aJFWLp0KU3SRUhmZiauX7+O9evX49GjR6zjcM68efNQU1ODvn37oqysDL169YKMjAzmzp1LE3QRERUVhXXr1vFfBJubm8Pf3x89e/ZknIzbNDQ0Gp3oqaioUM96EdanTx+oqanht99+g5+fH+s4nBQeHo6jR49i8ODBrKMwRWfSxcy8efPQokULeHl54fbt26zjkAZMTExw+vRpPH/+HJcvX0b//v0B1BWNaaz6LmlaR48exZgxY4TGR48ejaNHjwIAxowZQ8WVRMyNGzeQnZ2NQ4cOsY7CSTweD/Pnz8e7d+/w5MkT3L17F2/evMHSpUtZRyMADhw4ACcnJ8jLy2PWrFmYNWsWZGVl0bdvX/qdYWzBggXw9fUVKK6Yn58Pf39/oZfFRHRkZWXh+PHjeP36NesonCUtLQ0TExPWMZij7e5ipqqqCufOnUNYWBguXrwIY2NjeHh4YMKECWjRogXreJx2/PhxuLm5obq6Gn379uUXjFu5ciVu3ryJixcvMk7Ibc2bN8fatWuFemzu27cP/v7+eP36NZKSktC7d2+8efOGUUpCCPl+7dq1w5QpUzBnzhyB8Q0bNuCPP/6gY1YM2djYID09HRUVFdDX1wdQV61aRkZGqAhWXFwci4iEiKT169cjMzMT27Zta7SWEFfQJF2MvX79GgcOHMDevXvx7NkzDBw4EF5eXhg6dCi/YAxpWvn5+cjLy0P79u35P4PY2FgoKyujbdu2jNNx27Jly7BixQpMnjwZnTt3BlB3Jn3Xrl347bffMH/+fGzcuBEXLlzA1atXGafllrNnzzY63rCon5GRUROn4i5XV9fvvvfkyZP/YhLyV2RkZPD06VOhVaf09HRYWlri06dPjJKRoKCg77530aJF/2IS0piioiIcP34cGRkZ8Pf3h7q6OuLi4tC8eXO0bNmSdTzO+fJz5/r161BXV4eFhQWkpKQErnHlc4cm6WLu3r172LNnD/bu3QsdHR28f/8eampqCA0NRZ8+fVjHI0SkHDx4ENu2bRPoWevt7Q03NzcAdW306ieGpOlISEiAx+Phy4+j+jEej4cePXrg9OnTdJazCXh4eHz3vaGhof9iEvJXTExM4O/vj6lTpwqMBwcHY/369UhLS2OUjBDRlZiYCCcnJ6ioqCA7OxspKSkwNjbGggULkJubi3379rGOyDn0uSOMJuli6PXr19i/fz9CQ0ORmZmJ4cOHw8vLC05OTigtLcWSJUsQHh5OxcoIIWIhIiIC8+fPx/Lly/mV92NjYxEYGIgFCxZARUUFU6dORdeuXbF7927GaQkRHTt27MDs2bPh6emJ7t27AwBiYmIQFhaGzZs3C03eSdN7+PAh/9iBhYUFbGxsGCciTk5O6NixI9asWQMlJSUkJCTA2NgYt2/fhpubG7Kzs1lHJIQm6eJm6NChuHz5MkxNTTFp0iS4u7tDXV1d4J6CggK0aNFCqK8gIYSIIktLS4SEhPAnGfViYmIwZcoUPH36FNeuXYOnpydyc3MZpeSuqqoq3LhxAxkZGXBzc4OSkhJevXoFZWVlKCoqso7HeadOncL69ev5E8F27drB39+fulQwVlBQgNGjR+PGjRtQVVUFULfF2sHBAeHh4dDS0mIbkMNUVFQQFxeH1q1bC0zSc3JyYGZmRsdEGHN0dMTJkyf5vzf1iouLMXz4cM70SacWbGJGW1sbUVFRsLOz++o9WlpayMrKasJUhIgmdXV1pKamQlNTE2pqat8sQPLu3bsmTEYaysjIaLQDgrKyMjIzMwEAbdq0wdu3b5s6Gufl5ORg4MCByM3NRUVFBfr16wclJSWsXr0aFRUVCA4OZh2R81xcXODi4sI6BvmCt7c3Pn78iKdPn6Jdu3YAgKSkJEyYMAGzZs3C4cOHGSfkLhkZGRQXFwuNp6am0ssTEXDjxg18/vxZaPzTp0+4desWg0Rs0CRdzHzPVk8ejwcDA4MmSEPqVVZWYurUqQgMDKQCVyJk48aN/N71Gzdu5HSVUFHWqVMn+Pv7Y9++ffwHpDdv3uCXX37hF/lLS0uDnp4ey5ic5OPjA1tbWyQkJEBDQ4M/7uLigsmTJzNMRohou3TpEq5du8afoAN1Pey3b9/Ob9FK2HB2dsaSJUv47Vd5PB5yc3MREBCAESNGME7HXYmJifyvk5KSBNoXVldX49KlS5wq6kfb3cXMli1bGh1vWAW5V69ekJSUbOJkREVFBY8ePaJJOiF/U0pKCoYNG4asrCz+RPz58+cwNjbGmTNnYGpqitOnT+Pjx48YP34847TcoqGhgdu3b8PMzExgW2h2djbMzc1RVlbGOiLn/NWuoIZohxA7SkpKuHXrFjp06CAwHh8fj969eze6kkuaxocPH/Djjz/iwYMH+PjxI3R1dZGfnw87OztcuHABCgoKrCNyUn0RWQBChWQBQE5ODlu3boWnp2dTR2OCJulixsjICG/evEFZWRm/yvH79+8hLy8PRUVFFBQUwNjYGJGRkbTq1MQmTJiADh06CPWrJaIhLi4OUlJSsLKyAgCcOXMGoaGhMDc3x+LFiyEtLc04IbfV1NTgypUrSE1NBVBXeb9fv37UTpIxNTU1xMTEwNzcXGCSHh0djREjRuD169esI3LO3r17v/veCRMm/ItJyLcMGzYMRUVFOHz4MHR1dQEAL1++xNixY6GmpoZTp04xTkhiYmKQkJCAkpISdOzYEU5OTqwjcVpOTg5qa2thbGyM2NhYgaMH0tLS0NbW5tQiJE3Sxczhw4cREhKCXbt2oXXr1gDq+qFOnToVU6ZMgb29PUaPHo0WLVrg+PHjjNNyy7Jly7B+/Xr07dsXnTp1EnoTO2vWLEbJCAB07twZ8+bNw4gRI5CZmQlzc3O4urri/v37GDJkCDZt2sQ6IiEiZ9SoUVBRUUFISAiUlJSQmJgILS0tDBs2DPr6+pxphUPI3/X8+XM4Ozvj6dOnAjuELC0tcfbsWbRq1YpxQm6qrKyEnJwcHj16BEtLS9ZxCPkqmqSLmdatW+PEiRONbp+qn3zcvn0bI0aMQF5eHpuQHPWtbe48Ho9fAIuw0bCa6+rVq3H9+nVcvnwZMTExGD16NJ4/f846IqdFREQgIiICBQUFQp0p9uzZwygVefHiBQYMGIDa2lqkpaXB1tYWaWlp0NTUxM2bN6Gtrc06IudVV1fj9OnTAm2+nJ2dObXiJKpqa2tx7do1PHv2DEBd5X1arWXP2NgYp06dQvv27VlHId+QlJSE3NxcoSJyzs7OjBI1LSocJ2by8vJQVVUlNF5VVcUvsKCrq4uPHz82dTTOo4r6oq22tpY/+bt27Rp++OEHAICenh5VDWcsKCgIS5Ysga2tLXR0dKjAnwhp1aoVEhIScOTIEf62UC8vL4wdOxZycnKs43Feeno6Bg8ejJcvX8LMzAwAsHLlSujp6eH8+fP8HXeEDR6Ph379+qFfv36so5AG5s+fj99++w379+8XamNM2MvMzISLiwseP34MHo/HP59e/2xQXV3NMl6ToZV0MTNkyBDk5+dj165dsLGxAVC3ij558mS0aNECf/75J86dO4fffvsNjx8/ZpyWu778g0LYc3R0hJ6eHpycnODl5YWkpCSYmJggKioKEyZMQHZ2NuuInKWjo4M1a9ZQUThC/qbBgwejtrYWBw8e5E82CgsLMW7cOEhISOD8+fOME3LL14r7NoaOwLFjY2OD9PR0VFZWwsDAQOh4YlxcHKNkBACGDh0KSUlJ7Nq1C0ZGRoiNjUVhYSH8/Pywbt069OzZk3XEJkGTdDGTn5+P8ePHIyIiAlJSUgDqVtH79u2L/fv3o3nz5oiMjERlZSW1+GBg3759WLt2LdLS0gAApqam8Pf3p8mHCEhMTMTYsWORm5sLX19fLFq0CEBdL9vCwkIcOnSIcULu0tDQQGxsLK36EfI3KSgo4O7du/yCmPUSEhJgb2+PkpISRsm46Xu7u9AROLaCgoK+eb3++YCwoampievXr8Pa2hoqKiqIjY2FmZkZrl+/Dj8/P8THx7OO2CRou7uYadGiBa5evYpnz54JVEGu3+YGAA4ODqzicdqGDRsQGBiImTNnwt7eHgAQHR2NadOm4e3bt1T1nTFra+tGd5esXbuWzm4yNmnSJBw6dAiBgYGsoxAiVmRkZBo93lZSUkIdKxigY2/igSbhoq26uhpKSkoA6ibsr169gpmZGQwMDJCSksI4XdOhSbqYatu2LX9iTluqRcPWrVuxY8cOuLu788ecnZ1hYWGBxYsX0yRdBBQVFeH48ePIyMiAv78/1NXVkZSUhObNm6Nly5as43HWp0+fEBISgmvXrsHa2pq/S6jehg0bGCUjRLT98MMPmDJlCnbv3o0uXboAAO7du4dp06ZxpriSqPv8+TOysrLQunVrNGtGj92E/BVLS0skJCTAyMgIXbt2xZo1ayAtLY2QkBAYGxuzjtdkaLu7GKIt1aJJVlYWT548gYmJicB4WloarKys8OnTJ0bJCFC33b1v375QVVVFdnY2UlJSYGxsjAULFiA3Nxf79u1jHZGzvrX7h8fj4fr1602YhhDxUVRUhAkTJuDcuXMCR+CcnZ0RFhYGFRUVxgm5q6ysDN7e3vy+9qmpqTA2Noa3tzdatmyJefPmMU7IXRISEt9c4OJKYTJRdfnyZZSWlsLV1RXp6en44YcfkJqaCg0NDRw5cgSOjo6sIzYJeqUnZmhLtegyMTHB0aNH8dtvvwmMHzlyBG3atGGUitTz9fWFh4cH1qxZw99GBdQVXnJzc2OYjERGRrKOQIhYUlVVxZkzZ5CWlibQ5uvLl8Wk6f36669ISEjAjRs3MHDgQP64k5MTFi9eTJN0hk6dOiXwfWVlJeLj47F3796/PK9O/n0DBgzgf21iYoJnz57h3bt3UFNT49TuYVpJFzNGRkYICgoS2FINAHv37sXixYvpPBRDJ06cwKhRo+Dk5MR/gRITE4OIiAgcPXoULi4ujBNyW8M+6UpKSkhISICxsTFycnJgZmZGOx0I+ZuMjIzg6OiIpUuXQldXl3UcQkSKgYEBjhw5gm7dugl85qSnp6Njx44oLi5mHZF84dChQzhy5AjOnDnDOgohtJIubvLy8tC9e3eh8e7duyMvL49BIlJvxIgRuHfvHjZu3IjTp08DqFvRiI2N5bfLI+zIyMg0+lCUmpoKLS0tBom4zdXVFWFhYVBWVoarq+s37z158mQTpSJ/R33rQnt7e3pBzEh1dTXCwsIQERGBgoIC1NTUCFynoyLsvHnzBtra2kLjpaWlnFoNFCfdunXDlClTWMfgLE9Pz++6b8+ePf9yEtFAk3QxQ1uqRVunTp1w4MAB1jFII5ydnbFkyRIcPXoUQN1Z59zcXAQEBGDEiBGM03GPiooK/0FVWVmZHlrF0OLFi1lH4DwfHx+EhYVhyJAhsLS0pN8jEWJra4vz58/D29sbwH+K/O7atQt2dnYso5FGlJeXY8uWLVRElqGwsDAYGBjAxsYGtNGbtruLHdpSTch/58OHD/jxxx/x4MEDfPz4Ebq6usjPz4ednR0uXLgABQUF1hEJIeRv0dTUxL59+zB48GDWUcgXoqOjMWjQIIwbNw5hYWGYOnUqkpKScPv2bURFRaFTp06sI3LWl2eba2tr8fHjR8jLy+PAgQPUGYGRGTNm4PDhwzAwMICHhwfGjRsHdXV11rGYoUm6GHr48CE2btyI5ORkAHVbqv38/GhLNSHfITo6GomJiSgpKUHHjh3h5OTEOhLnOTo64uTJk1BVVRUYLy4uxvDhw2nLbhPz9fX97nupPR5burq6uHHjBkxNTVlHIY3IyMjAqlWrkJCQwP/MCQgIgJWVFetonBYWFiYwSZeQkICWlha6du0KNTU1hslIRUUFTp48iT179uD27dsYMmQIvLy80L9/f87tFKJJOiGEEKYkJCSQn58vdH6zoKAALVu2RGVlJaNk3PStlngNUXs89tavX4/MzExs27aNcw+whPy3cnNzoaen1+jvTG5uLvT19RmkIl/KyclBWFgY9u3bh6qqKjx9+hSKioqsYzUZOpMuBv5OBVBlZeV/MQkh4mXLli3ffe+sWbP+xSSkMYmJifyvk5KSkJ+fz/++uroaly5dovOBDFBLPNH2ZaHF69ev4+LFi7CwsOD3Sq9HRRfZcXJywrhx4+Dq6krPZiLGyMgIeXl5Qi+GCwsLYWRkRH3SRUR9P/va2lpO/kxoJV0M1P9P+i21tbXg8Xic/J+YkK8xMjIS+P7NmzcoKyvjb6suKiqCvLw8tLW1kZmZySAhtzX829bYR5GcnBy2bt363RVfCeECDw+P7743NDT0X0xCvsXHxwdHjx7Fhw8fMGTIEIwbNw6DBw8WepFCmt7Xdm/l5OTA3NwcpaWljJKRhtvdo6Oj8cMPP8DDwwMDBw6EhIQE63hNiibpYiAqKuq77+3du/e/mIT8tzw9PeHg4IDx48ezjsJZhw4dwu+//47du3fDzMwMAJCSkoLJkydj6tSpGDt2LOOE3JOTk4Pa2loYGxsjNjZWoBWetLQ0tLW1ISkpyTAhN1F7PEL+GTU1Nbh27RoOHTqEU6dOQVJSEj/++CPGjh1Lz2sM1Nfb2Lx5MyZPngx5eXn+terqaty7dw+SkpKIiYlhFZHTpk+fjvDwcOjp6cHT0xNjx46FpqYm61jM0CSdkCbQp08fZGdnQ1VVFY8ePWIdh5Nat26N48ePCxVYfPjwIX788Ufq80zI//Hw8MCWLVugpKT0l6u2tFLLVlZWFqqqqoRasKalpUFKSgqGhoZsghEhnz59wrlz57B8+XI8fvyYdj4yUF9vIyoqCnZ2dpCWluZfk5aWhqGhIebOnUstjRmRkJCAvr4+bGxsvrmDmCsvh+lMuhgqKirC7t27+dXdLSws4OnpCRUVFcbJyNfcuHEDQN25W8JGXl4eqqqqhMarq6vx+vVrBolIQ2lpaYiMjERBQQFqamoEri1cuJBRKm5qOPGmSbhomzhxIjw9PYUmFffu3cOuXbv4nz2Erfz8fISHh+PAgQNITExEly5dWEfipPp6Gx4eHti8eTPVChAx7u7uVACzAVpJFzMPHjzAgAEDICcnx/8jf//+fZSXl+PKlSvo2LEj44SEiKahQ4fi5cuX2LVrF//35OHDh5gyZQpatmyJs2fPMk7IXX/88Qd+/vlnaGpqokWLFgIf0jweD3FxcQzTcduyZcswduxYofoORDQoKysjLi4OJiYmAuPp6emwtbVFUVERm2AExcXFOHHiBA4dOoQbN27A2NgYY8eOxdixY9G6dWvW8QghIo4m6WKmZ8+eMDExwR9//IFmzeo2QlRVVWHSpEnIzMzEzZs3GSfkrq9N8ng8HmRlZWFiYkIPugy9efMGEyZMwKVLl/iFe6qqqjBgwACEhYUJFZAhTcfAwADTp09HQEAA6yjkC+3bt8eTJ0/QtWtXjBs3Dj/99BOnzwiKGhUVFdy4caPRYzx9+vTBx48fGSUjcnJyUFNTw6hRozB27FjY2tqyjkQaePDgAY4ePYrc3Fx8/vxZ4BpXtlMT0UaTdDEjJyeH+Ph4tG3bVmA8KSkJtra2KCsrY5SMNGwV0VD9GI/HQ48ePXD69GmoqakxSknS0tL4R0Xatm0LU1NTxomIsrIyHj16BGNjY9ZRSCOePn2KgwcPIjw8HC9evEC/fv0wduxYDB8+XKDwEml6Q4cOhZycHA4fPswvslhdXY1Ro0ahtLQUFy9eZJyQu65evYq+fftyriK1OAgPD4e7uzsGDBiAK1euoH///khNTcXr16/h4uJCx3yISKC/HGJGWVkZubm5QuPPnz+HkpISg0Sk3tWrV9G5c2dcvXoVHz58wIcPH3D16lV07doVf/75J27evInCwkLMnTuXdVROa9OmDZydneHs7EwTdBExcuRIXLlyhXUM8hUWFhZYsWIFMjMzERkZCUNDQ8yePRstWrRgHY3zVq9ejevXr8PMzAweHh7w8PCAmZkZbt68ibVr17KOx2n9+vXjV3ffuXMnf1fDq1evUFJSwjgdt61YsQIbN27EuXPnIC0tjc2bN+PZs2f46aefoK+vzzoeIQCocJzYGTVqFLy8vLBu3Tp0794dABATEwN/f3+MGTOGcTpu8/HxQUhICP/nAgB9+/aFrKwspkyZgqdPn2LTpk3U85mQL5iYmCAwMBB3796FlZWVUB/hWbNmMUpGvqSgoAA5OTlIS0vTVmoRYG5ujsTERGzbtg0JCQmQk5ODu7s7Zs6cCXV1ddbxOC0nJwcDBw5Ebm4uKioq0K9fPygpKWH16tWoqKhAcHAw64iclZGRgSFDhgCoq+peWloKHo+HOXPmwNHREUFBQYwTEkKTdLGzbt068Hg8uLu78ytVS0lJ4eeff8aqVasYp+O2jIyMRiuFKisrIzMzE0DdKu7bt2+bOhohIi0kJASKioqIiopCVFSUwDUej0eTdMaysrJw6NAhHDp0CCkpKejduzeCgoLw448/so5GAOjq6mLFihWsY5Av+Pj4wNbWFgkJCdDQ0OCPu7i4YPLkyQyTETU1Nf5LxpYtW+LJkyewsrJCUVERHRslIoMm6WKmflvOypUrkZGRAaCu/zOdC2SvU6dO8Pf3x759+6ClpQWgrljZL7/8gs6dOwOoOw+tp6fHMiYhIod61Iuubt264f79+7C2toaHhwfGjBmDli1bso5F/o+hoSE8PT3h4eFBny0i5tatW7h9+7ZAL26g7mf28uVLRqkIAPTq1QtXr16FlZUVRo4cCR8fH1y/fp1fR4AQUUCTdDElLy8PKysr1jFIA7t378awYcPQqlUr/sPS8+fPYWxsjDNnzgAASkpKsGDBApYxCSHku/Xt2xd79uyBubk56yikEbNnz0ZYWBiWLFkCBwcHeHl5wcXFBTIyMqyjcV5NTQ2qq6uFxl+8eEE1hBjbtm0bPn36BACYP38+pKSkcPv2bYwYMYKe0YjIoOruYsDV1RVhYWFQVlaGq6vrN++lthFs1dTU4MqVK0hNTQUAmJmZoV+/flTdVQSEhoZCUVERI0eOFBg/duwYysrKMGHCBEbJyF/VadizZ08TJSFEPMXFxSEsLAyHDx9GdXU13Nzc4OnpiY4dO7KOxlmjRo2CiooKQkJCoKSkhMTERGhpaWHYsGHQ19enCuKMVFVV4dChQxgwYACaN2/OOg4hX0WTdDHg4eGBLVu2QElJCR4eHt+8l/7oE9I4U1NT7Ny5Ew4ODgLjUVFRmDJlClJSUhglIy4uLgLfV1ZW4smTJygqKoKjoyO9fGxivr6+WLp0KRQUFODr6/vNezds2NBEqcj3qKysxO+//46AgABUVlbCysoKs2bNgoeHB3g8Hut4nPLixQsMGDAAtbW1SEtLg62tLdLS0qCpqYmbN29CW1ubdUTOkpeXR3JyMgwMDFhHIeSraLu7GGg48aZJuGiLiIhAREQECgoKUFNTI3CNVgPZys3NhZGRkdC4gYFBo20NSdM5deqU0FhNTQ1+/vlntG7dmkEibouPj0dlZSX/66+hSZ/oqKysxKlTpxAaGoqrV6+iW7du8PLywosXL/Dbb7/h2rVrOHToEOuYnNKqVSskJCQgPDwciYmJKCkpgZeXF8aOHQs5OTnW8TitS5cuePToEU3SiUijlXQxVVBQwF/5MzMzozeyIiAoKAhLliyBra0tdHR0hB5gG5uIkKajr6+Pbdu2wdnZWWD8zJkzmDFjBl68eMEoGfmalJQU9OnTB3l5eayjECKS4uLiEBoaisOHD0NCQgLu7u6YNGkS2rZty7/nyZMn6Ny5M8rLyxkmJUR0HD16FL/++ivmzJmDTp06QUFBQeC6tbU1o2SE/AetpIuZ4uJizJgxA+Hh4fyCJJKSkhg1ahS2b98OFRUVxgm5Kzg4GGFhYRg/fjzrKKQRY8aMwaxZs6CkpIRevXoBqNvq7uPjg9GjRzNORxqTkZHBbzVJ2Pjw4QOqq6uFem6/e/cOzZo1a7TtJGk6nTt3Rr9+/bBjxw4MHz4cUlJSQvcYGRnR37gmcvbs2e++98sXxqTp1P8+NGzvyePxUFtbCx6P12jBP0KaGq2ki5lRo0YhPj4eW7duhZ2dHQDgzp078PHxQYcOHRAeHs44IXdpaGggNjaWtueKqM+fP2P8+PE4duwYmjWrez9ZU1MDd3d3BAcHC7XJIU3ny3PPtbW1yMvLw/nz5zFhwgRs27aNUTIyaNAgDB06FNOnTxcYDw4OxtmzZ3HhwgVGyQgA5OTk0JZdEfJlkdj6id+XYwBoIshQTk7ON6/T7xQRBTRJFzMKCgq4fPkyevToITB+69YtDBw4EKWlpYySkYCAACgqKiIwMJB1FPINqampSEhIgJycHKysrOjDWAR8WcxPQkICWlpacHR0hKenJ/+lCml66urqiImJQbt27QTGnz17Bnt7exQWFjJKRoC6Np88Hg+tWrUCAMTGxuLQoUMwNzfHlClTGKfjtmvXriEgIAArVqwQWFRZsGABVqxYgX79+jFOSAgRZfTkI2Y0NDQa3dKuoqICNTU1BolIvU+fPiEkJATXrl2DtbW10LZDqoIsGkxNTWFqaso6BmkgMjKSdQTyFRUVFY0eOaisrKQzziLAzc0NU6ZMwfjx45Gfn49+/frBwsICBw8eRH5+PhYuXMg6ImfNnj0bwcHBAosqAwYMgLy8PKZMmYLk5GSG6cj+/fsRHByMrKws3LlzBwYGBti0aROMjIwwbNgw1vEIoUm6uFmwYAF8fX2xf/9+tGjRAgCQn58Pf39/WsFlLDExER06dABQV6inIaqCzAa1khIvb968ESiIqaWlxTgR6dKlC0JCQrB161aB8eDgYHTq1IlRKlLvyZMn6NKlC4C6YliWlpaIiYnBlStXMG3aNJqkM5SRkQFVVVWhcRUVFWRnZzd5HvIfO3bswMKFCzF79mwsX76cf/RAVVUVmzZtokk6EQk0SRcDNjY2ApO8tLQ06OvrQ19fH0BdaykZGRm8efMGU6dOZRWT82g1UPRQKynxUFpaCm9vb+zbt4/fulBSUhLu7u7YunUr5OXlGSfkrmXLlsHJyQkJCQno27cvgLpWk/fv38eVK1cYpyOVlZWQkZEBULe9ur4YWdu2bakrAmOdO3fmL6o0b94cAPD69Wv4+/vzX6wQNrZu3Yo//vgDw4cPx6pVq/jjtra2mDt3LsNkhPwHTdLFwPDhw1lHIEQsNXxxQi9RRJevry+ioqJw7tw52NvbAwCio6Mxa9Ys+Pn5YceOHYwTcpe9vT3u3LmDtWvX4ujRo5CTk4O1tTV2796NNm3asI7HeRYWFggODsaQIUNw9epVLF26FADw6tUraGhoME7HbXv27IGLiwv09fWhp6cHoK6GQJs2bXD69Gm24TguKysLNjY2QuMyMjJU24mIDCocR8j/B1dXV4SFhUFZWRmurq7fvPfkyZNNlIoQ8aKpqYnjx4+jT58+AuORkZH46aef8ObNGzbBCBFxN27cgIuLC4qLizFhwgTs2bMHAPDbb7/h2bNn9LnDWG1tLa5evYpnz54BANq1awcnJyfavcWYubk5Vq5ciWHDhkFJSQkJCQkwNjbG1q1bERoairi4ONYRCaGVdEL+f6ioqPA/bKlHvWgrLS3FqlWrEBERgYKCAv626nqZmZmMkpGysjL+dtCGtLW1UVZWxiARIeKhT58+ePv2LYqLiwWKx06ZMoWOiYgAHo+H/v37o3///qyjkAZ8fX0xY8YMfPr0CbW1tYiNjcXhw4excuVK7Nq1i3U8QgDQSjoh/4ja2lo8f/4cWlpakJOTYx2HNGLMmDGIiorC+PHjoaOjI7SS4ePjwygZ6du3LzQ0NLBv3z7IysoCAMrLyzFhwgS8e/cO165dY5yQENFWUFAgUHRRW1ubcSJCRNvBgwexePFiZGRkAAB0dXURFBQELy8vxskIqUOTdEL+ATU1NZCVlcXTp0/pnKaIUlVVxfnz5/lnnonoePLkCQYMGICKigq0b98eAJCQkABZWVlcvnwZFhYWjBMSIpo+fvyI6dOnIzw8nF+hWlJSEqNGjcL27dtphxchf6GsrAwlJSX0YouIHAnWAQj5XyAhIYE2bdqgsLCQdRTyFWpqalBXV2cdgzTC0tISaWlpWLlyJTp06IAOHTpg1apVSEtLowk6Id8wadIk3Lt3D3/++SeKiopQVFSEP//8Ew8ePKBuL4R8haOjI4qKigAA8vLy/Al6cXExHB0dGSYj5D9oJZ2Qf8i5c+ewZs0a7NixA5aWlqzjkC8cOHAAZ86cwd69e+msJiHkf4KCggIuX76MHj16CIzfunULAwcOpErVhDRCQkIC+fn5QqvnBQUFaNmyJb91KyEsUeG4/xFnzpzBhw8f4O7uzjoKZ7m7u6OsrAzt27eHtLS00Nn0d+/eMUrGXTY2NgJnz9PT09G8eXMYGhpCSkpK4F6q5srOypUr0bx5c3h6egqM79mzB2/evEFAQACjZORrfv/9d7x9+xYLFy5kHYXTNDQ0Gt3SrqKiIlBIjrBRXV2NU6dOITk5GUBddffhw4ejWTN6/GYhMTGR/3VSUhLy8/P531dXV+PSpUto2bIli2iECKGV9P8Rbdu2RVpaGv9MGml6e/fu/eb1CRMmNFESUi8oKOi77120aNG/mIR8i6GhIQ4dOoTu3bsLjN+7dw+jR49GVlYWo2Tka/r27YusrCzqisBYSEgIjh07hv3796NFixYAgPz8fEyYMAGurq605Z2hp0+fwtnZGfn5+TAzMwMApKamQktLC+fOnaMddwxISEjwX9w3Nv2Rk5PD1q1bhV4YE8ICTdIJIYQwJSsri+TkZBgZGQmMZ2ZmwtzcHJ8+fWKUjBDRZmNjg/T0dFRUVEBfXx8AkJubCxkZGaEiprRbqGnZ2dlBS0sLe/fu5e9qeP/+PSZOnIg3b97g9u3bjBNyT05ODmpra2FsbIzY2FhoaWnxr0lLS0NbWxuSkpIMExLyH7TfhpB/UEZGBkJDQ5GRkYHNmzdDW1sbFy9ehL6+PhXAEhEPHjzgbz00NzdHp06dGCcienp6iImJEZqkx8TEQFdXl1Eq8ldqa2uFWhmSpjV8+HDWEchXPHr0CA8ePBA4dqCmpobly5ejc+fODJNxl4GBAYC6jjyEiDqapIuZxYsXY+HChZCQECzM/+HDB0ybNg2HDx9mlIxERUVh0KBBsLe3x82bN7F8+XJoa2sjISEBu3fvxvHjx1lH5LQXL15gzJgxiImJgaqqKgCgqKgI3bt3R3h4OFq1asU2IIdNnjwZs2fPRmVlJb+ybkREBH755Rf4+fkxTsdtEydOxPbt26GgoCAwnp2djfHjx+PWrVuMkhGAjumIMlNTU7x+/VroBX1BQQFMTEwYpeKus2fPYtCgQZCSksLZs2e/ea+zs3MTpSLk62i7u5jR09ODnp4eDhw4AGNjYwDAjRs34O7ujhYtWiA2NpZxQu6ys7PDyJEj4evrCyUlJSQkJPC3VLm6uuLFixesI3LawIEDUVRUhL179/LPB6akpMDDwwPKysq4dOkS44TcVVtbi3nz5mHLli34/PkzgLot8AEBAQgMDKTVWoZsbGxQXFyMAwcOwM7ODkBd/Y1Zs2bB0dERp06dYpyQENFRXFzM/zo6Ohq//PILFi9ejG7dugEA7t69iyVLlmDVqlUYPHgwq5ic1LCi+5cLXQ3xeDyq70REAk3Sxcz79+8xdepUXLp0CevXr0dqaio2b94Mf39/BAUFUcVQhhQVFfH48WMYGRkJTNKzs7PRtm1bOlfLmJycHG7fvg0bGxuB8YcPH6Jnz54oKytjlIzUKykpQXJyMuTk5NCmTRvIyMiwjsR5lZWV+O2337Blyxb4+fkhPT0dFy9exIYNGzB58mTW8QgRKQ0LkwH/KU72ZbEymggSQv4KzejEjJqaGo4ePYrffvsNU6dORbNmzXDx4kX07duXdTTOU1VVRV5entC52vj4eGrpIQL09PQa7X1aXV1N554Z+/DhA6qrq6Guri5wVvPdu3do1qwZlJWVGabjNikpKaxduxby8vJYunQpmjVrhqioKP6qOiHkPyIjI1lHIIT8j6CVdDG0detWzJs3D8OHD8fDhw8hKSmJQ4cOoX379qyjcdrcuXNx7949HDt2DKampoiLi8Pr16/h7u4Od3d3OjvI2JkzZ7BixQps374dtra2AOqKyHl7eyMgIIAKMDE0aNAgDB06FNOnTxcYDw4OxtmzZ3HhwgVGyUhlZSXmzZuH7du3w8/PD9HR0UhNTcXu3btpuy4hRGxs2bLlu++dNWvWv5iEkO9Dk3QxM3DgQDx48ADBwcH48ccfUV5eDl9fX4SFhSEoKAi//PIL64ic9fnzZ8yYMQNhYWGorq5Gs2bNUF1dDTc3N4SFhVFbD8bU1NRQVlaGqqoq/rGQ+q+/LIr17t07FhE5S11dHTExMWjXrp3A+LNnz2Bvb4/CwkJGyUj79u1RVlaG/fv3o1u3bqitrcWaNWuwaNEieHp64vfff2cdkRCRdevWLezcuROZmZk4duwYWrZsif3798PIyAg9evRgHY9Tvtzl+DU8Hg+ZmZn/chpC/hptdxcz1dXVSExM5G/PlZOTw44dO/DDDz9g0qRJNElnSFpaGn/88QcCAwPx5MkTlJSUwMbGRqhXLWFj06ZNrCOQr6ioqEBVVZXQeGVlJcrLyxkkIvVsbW2xZcsW/ossHo+HgIAA9O/fH+PHj2ecjnzLkiVL4ODggJ49e7KOwkknTpzA+PHjMXbsWMTFxaGiogJA3fGeFStW0A6hJpaVlcU6AiF/C62k/w95+/YtNDU1WcfgvM+fPyMrKwutW7emQn6EfAcHBwdYWlpi69atAuMzZsxAYmIitfkSURUVFVTcT4QZGRnh9evX6Nu3L86dO8c6DufY2Nhgzpw5cHd3FygmGx8fj0GDBiE/P591REKICKMZhBiq3z6VkZGB48eP0/YpEVFWVgZvb2/s3bsXAJCamgpjY2N4e3ujZcuWmDdvHuOEpN6nT5/4rb7qUXEydpYtWwYnJyckJCTwi2BGRETg/v37uHLlCuN0ZP/+/QgODkZWVhbu3LkDAwMDbNq0CUZGRhg2bBjreOQrsrKyUF5eTsXMGElJSUGvXr2ExlVUVFBUVNT0gQghYuXrjQKJSDpx4gQGDBgAOTk5xMfHC22fIuz8+uuvSEhIwI0bNyArK8sfd3JywpEjRxgmIwBQWlqKmTNnQltbGwoKClBTUxP4R9ixt7fHnTt3oKenh6NHj+LcuXMwMTFBYmIibdVlbMeOHfD19cXgwYNRVFTEbxulqqpKR0jEgJycHBX4Y6RFixZIT08XGo+OjoaxsTGDRIQQcUKTdDGzbNkyBAcH448//oCUlBR/3N7eHnFxcQyTkdOnT2Pbtm3o0aOHQJ9UCwsLZGRkMExGAOCXX37B9evXsWPHDsjIyGDXrl0ICgqCrq4u9u3bxzoe53Xo0AEHDx7E06dP8eDBA+zZs4fqOYiArVu34o8//sD8+fMFil/a2tri8ePHDJMRADA0NMSSJUuQm5vLOgr5wuTJk+Hj44N79+6Bx+Ph1atXOHjwIObOnYuff/6ZdTxCiIij7e5ihrZPia43b95AW1tbaLy0tFRg0k7YOHfuHPbt24c+ffrAw8MDPXv2hImJCQwMDHDw4EGMHTuWdUQCOoogarKysmBjYyM0LiMjg9LSUgaJSEOzZ89GWFgYv0icl5cXXFxcqFaACJg3bx5qamrQt29flJWVoVevXpCRkcHcuXPh7e3NOh4hRMTRSrqYoe1TosvW1hbnz5/nf18/Md+1axfs7OxYxSL/5927d/zfEWVlZX6btR49euDmzZsso3FeWVkZHUUQUUZGRnj06JHQ+KVLl4Ra5pGmN3v2bDx69AixsbFo164dvL29oaOjg5kzZ9LuOkbqq4jzeDzMnz8f7969w5MnT3D37l28efMGS5cuZZyQECIOaCVdzNRvn9qzZw9/+9SdO3cwd+5cBAYGso7HaStWrMCgQYOQlJSEqqoqbN68GUlJSbh9+zaioqJYx+M8Y2NjZGVlQV9fH23btsXRo0fRpUsXnDt3DqqqqqzjcZq/vz8iIyOxY8cOjB8/Htu3b8fLly+xc+dOrFq1inU8TvP19cWMGTPw6dMn1NbWIjY2FocPH8bKlSuxa9cu1vHI/+nYsSM6duyI9evX4/fff0dAQAB27NgBKysrzJo1Cx4eHrSjq4m0bt0aBgYGcHBwgKOjIxwcHGBubs46FvkO7dq1Q2pqKr/2BiEsUQs2MVNbW4sVK1Zg5cqVKCsrAwD+9il6O8teRkYGVq1ahYSEBJSUlKBjx44ICAiAlZUV62ict3HjRkhKSmLWrFm4du0ahg4ditraWlRWVmLDhg3w8fFhHZGz9PX1+UcRlJWVERcXBxMTE+zfvx+HDx+mfsKMHTx4EIsXL+bX1tDV1UVQUBC8vLwYJyP1KisrcerUKYSGhuLq1avo1q0bvLy88OLFC2zfvh2Ojo44dOgQ65iccOPGDf6/e/fu4fPnzzA2NuZP2B0cHNC8eXPWMUkjTp8+jQ8fPmDChAmsoxBCk3Rx9fnzZ6Snp6OkpATm5uZQVFRkHYkQsZKTk4OHDx/CxMQE1tbWrONwmqKiIpKSkqCvr49WrVrh5MmT6NKlC7KysmBlZYWSkhLWEQnqjiWUlJQ0WnuDsBEXF4fQ0FAcPnwYEhIScHd3x6RJk9C2bVv+PU+ePEHnzp1RXl7OMCk3ffr0Cbdv3+ZP2mNjY1FZWYm2bdvi6dOnrOMRQkQYbXcXU9LS0rR9SgTV1NQgPT0dBQUFqKmpEbjWWME/0jQqKysxcOBABAcH8yuGGxgYwMDAgHEyAtBRBHEhLy8PeXl51jFIA507d0a/fv2wY8cODB8+XKDrSz0jIyOMHj2aQToiKysLR0dH9OjRAw4ODrh48SJ27tyJZ8+esY7Gac+ePRN4kdXQ5cuXMWDAgCZORIgwWkkXA9OmTcOCBQvQqlWrv7z3yJEjqKqqokrVDNy9exdubm7IycnBl79WPB6PzjgxpqWlhdu3b1NbLxFERxFEy8CBA7F48WJ069btm/d9/PgRv//+OxQVFTFjxowmSkcaysnJoZeNIujz58+4e/cuIiMj+dve9fT00KtXL/Tq1Qu9e/eGvr4+65icJS8vj7Vr1wr83aqoqICfnx927dqFT58+MUxHSB2apIuBwMBAbNmyBfb29hg6dChsbW2hq6sLWVlZvH//HklJSYiOjkZ4eDh0dXUREhJC23cZ6NChA0xNTREUFAQdHR2hIj0qKiqMkhEAmDNnDmRkZKgQmRigowhs7d69GwsXLoSKiso3P3MuXLiAIUOGYO3atTThIOT/ODo64t69ezAyMkLv3r3Rs2dP9O7dGzo6Oqyjkf9z9OhR/Pzzz+jatStCQ0ORl5cHNzc31NTUYP/+/ejcuTPriITQJF1cvH79Grt27UJ4eDiSkpIErikpKcHJyQmTJk3CwIEDGSUkCgoKSEhIgImJCesopBHe3t7Yt28f2rRpg06dOkFBQUHg+oYNGxglI0T0VFRU4NixYzhy5Aiio6Px4cMHAHW7gszNzTFgwAB4eXlRGzbG1NTUGq3azuPxICsrCxMTE0ycOBEeHh4M0nGTlJQUdHR0MHz4cPTp0we9e/eGhoYG61jkCy9evICHhwfi4+NRWlqKiRMnYv369XSkh4gMOpMuJpo3b4758+dj/vz5eP/+PXJzc1FeXg5NTU20bt2aWquIgK5duyI9PZ0m6SLqyZMn6NixIwAgNTVV4Br9/hAiSEZGBuPGjcO4ceMAAB8+fEB5eTk0NDQaPfdM2Fi4cCGWL1+OQYMGoUuXLgCA2NhYXLp0CTNmzEBWVhZ+/vlnVFVVYfLkyYzTckNRURFu3bqFGzduYPXq1RgzZgxMTU3Ru3dv/qRdS0uLdUyCumMJ1dXVqK6uho6ODmRlZVlHIoSPVtIJ+YecOnUKCxYsgL+/P6ysrIQeZGnbLiGEkH/SiBEj0K9fP0ybNk1gfOfOnbhy5QpOnDiBrVu3IiQkBI8fP2aUkts+fvyI6Oho/vn0hIQEtGnTBk+ePGEdjbPCw8Px888/o2fPnti9ezcePXoEDw8PGBgYYP/+/TA2NmYdkRCapBPyT5GQkBAa4/F4qK2tpcJxhBBC/nGKiop49OiR0A6u9PR0dOjQASUlJcjIyIC1tTVKS0sZpeS2mpoa3L9/H5GRkYiMjER0dDQ+ffpEzwQMKSgoYN26dfj555/5Y+/fv8fUqVNx6dIlFBcXM0xHSB3a7k7IPyQrK4t1BPINLi4uf3l2083NDWZmZgzSEULI36euro5z585hzpw5AuPnzp2Duro6AKC0tBRKSkos4nFSTU0NHjx4gBs3biAyMhIxMTEoLS1Fy5Yt4eDggO3bt8PBwYF1TE6Li4sT+qxXU1PD0aNHsX//fkapCBFEK+mEEE6YOHEiTp8+DVVVVXTq1AlA3Qd1UVER+vfvj4SEBGRnZyMiIgL29vaM0xJCyF/7448/8PPPP2Pw4MH8M+n379/HhQsXEBwcDC8vL6xfvx6xsbE4cuQI47TcoKysjNLSUrRo0QIODg5wcHBAnz590Lp1a9bRSANVVVW4ceMGMjIy4ObmBiUlJbx69QrKyspQVFRkHY8QmqQT8v/j7NmzGDRoEKSkpHD27Nlv3uvs7NxEqUhj5s2bh+LiYmzbto1/NKGmpgY+Pj5QUlLC8uXLMW3aNDx9+hTR0dGM0xIAcHJyQmZmJjIzM1lHIURkxcTEYNu2bUhJSQEAmJmZwdvbG927d2ecjJt27twJBwcHmJqaso5CviInJwcDBw5Ebm4uKioqkJqaCmNjY/j4+KCiogLBwcGsIxJCk3RxRG//RIeEhATy8/Ohra3d6Jn0enQmnT0tLS3ExMQIPTilpqaie/fuePv2LR4/foyePXuiqKiITUgiYPv27Xj79i0WLVrEOgqnFRUV4fjx48jIyIC/vz/U1dURFxeH5s2bo2XLlqzjEULI3zJ8+HAoKSlh9+7d0NDQQEJCAoyNjXHjxg1MnjwZaWlprCMSQmfSxc2Xb//69esHJSUlrF69mt7+MVBTU9Po10T0VFVV4dmzZ0KT9GfPnvFfoMjKylI7NhEyY8YM1hE4LzExEU5OTlBRUUF2djYmT54MdXV1nDx5Erm5udi3bx/riJxXXV2N06dPIzk5GQBgYWEBZ2dnSEpKMk5GiGi6desWbt++DWlpaYFxQ0NDvHz5klEqQgR9femPiCQfHx/Y2tri/fv3kJOT44+7uLggIiKCYTJCRNv48ePh5eWFjRs3Ijo6GtHR0di4cSO8vLzg7u4OAIiKioKFhQXjpNzz5s2br16jtlFs+fr6YuLEiUhLSxPoITx48GDcvHmTYTIC1FVxb9euHdzd3XHy5EmcPHkS48aNg4WFBTIyMljHI0Qk1dTUNLq78cWLF1RkkYgM2u4uZjQ0NHD79m2YmZlBSUmJv0UnOzsb5ubmKCsrYx2Rs7Zs2dLoeMPq4b169aLVDUaqq6uxatUqbNu2Da9fvwYANG/eHN7e3ggICICkpCRyc3MhISGBVq1aMU7LLS1atMDu3bsxZMgQgfF169YhMDAQ5eXljJIRFRUVxMXFoXXr1gKfOTk5OTAzM8OnT59YR+S0wYMHo7a2FgcPHuRXcy8sLMS4ceMgISGB8+fPM05IiOgZNWoUVFRUEBISAiUlJSQmJkJLSwvDhg2Dvr4+QkNDWUckhLa7ixt6+ye6Nm7ciDdv3qCsrAxqamoA6vpuysvLQ1FREQUFBTA2NkZkZCT09PQYp+UeSUlJzJ8/H/Pnz+f3QFVWVha4R19fn0U0zvP19cWIESPg4eGBDRs24N27d3B3d8fjx49x6NAh1vE4TUZGptGewampqdDS0mKQiDQUFRWFu3fv8ifoQN3L/FWrVlGXCkK+Yv369RgwYADMzc3x6dMnuLm5IS0tDZqamjh8+DDreIQAoO3uYqd///7YtGkT/3sej4eSkhIsWrQIgwcPZheMYMWKFejcuTPS0tJQWFiIwsJCpKamomvXrti8eTNyc3PRokULoX62pOkpKysLTdAJO7/88gvu3LmDW7duwdraGtbW1pCRkUFiYiJcXFxYx+M0Z2dnLFmyBJWVlQDqPnNyc3MREBCAESNGME5HZGRk8PHjR6HxkpISofO2hJA6rVq1QkJCAubPn485c+bAxsYGq1atQnx8PLS1tVnHIwQAbXcXOy9evMCAAQNQW1uLtLQ02Nra8t/+3bx5k/64MNS6dWucOHECHTp0EBiPj4/HiBEjkJmZidu3b2PEiBHIy8tjE5IQEfXx40dMnjwZJ06cAADs2rULEyZMYJyKfPjwAT/++CMePHiAjx8/QldXF/n5+bCzs8OFCxegoKDAOiKnubu7Iy4uDrt37+b3Sb937x4mT56MTp06ISwsjG1AQggh/xXa7i5m6t/+HTlyBAkJCSgpKYGXlxfGjh0rUEiONL28vDxUVVUJjVdVVSE/Px8AoKur2+iqByFcFhMTg3HjxkFdXR2JiYmIiYmBt7c3Lly4gODgYP7xEdL0VFRUcPXqVURHRyMxMRElJSXo2LEjnJycWEcjqKuFMmHCBNjZ2UFKSgpA3WeOs7MzNm/ezDgdIaLj7t276Nat23fdW1ZWhqysLCokS5iilXRC/iFDhgxBfn4+du3aBRsbGwB1q+iTJ09GixYt8Oeff+LcuXP47bffqGI1IQ3IyMhgzpw5WLp0KX+ikZGRgXHjxuH58+d48eIF44SEiLa0tDQ8e/YMANCuXTuYmJgwTkSIaGnTpg2MjY0xadIkDB48uNFdQElJSThw4ABCQ0OxevVqfucXQligSbqYWblyJZo3bw5PT0+B8T179uDNmzcICAhglIzk5+dj/PjxiIiIEFjR6Nu3L/bv34/mzZsjMjISlZWV6N+/P+O0hIiOqKgo9O7dW2i8pqYGy5cvR2BgIINUpF5ERAQiIiJQUFCAmpoagWt79uxhlIoQQr5fZWUlduzYge3btyMzMxOmpqbQ1dWFrKws3r9/j2fPnqGkpAQuLi747bffYGVlxToy4TiapIsZQ0NDHDp0CN27dxcYv3fvHkaPHo2srCxGyUi9Z8+eITU1FQBgZmYGMzMzxonItzx48ABlZWXo1asX6yicl56ejoyMDPTq1QtycnKora0Fj8djHYvTgoKCsGTJEtja2kJHR0fo53Hq1ClGybjL19f3u+/dsGHDv5iEEPH04MEDREdHIycnB+Xl5dDU1ISNjQ0cHBwEOiUQwhJN0sWMrKwskpOTYWRkJDCemZnJbyVBCPl+7dq1Q2pqaqOtDUnTKCwsxE8//YTIyEjweDykpaXB2NgYnp6eUFdXx7p161hH5CwdHR2sWbMG48ePZx2F/B8HB4fvuo/H4+H69ev/chpCCCH/BiocJ2b09PQQExMjNEmPiYmBrq4uo1QEAKqrqxEWFvbVbaH0sCSaIiIi+O2lCBtz5syBlJQUcnNz0a5dO/74qFGj4OvrS5N0hj5//iy0c4uwFRkZyToCIYSQfxlN0sXM5MmTMXv2bFRWVsLR0RFA3STjl19+gZ+fH+N03Obj44OwsDAMGTIElpaWtE1XTNDLLfauXLmCy5cvo1WrVgLjbdq0QU5ODqNUBAAmTZqEQ4cOUV0AMVBfYPHL3yNCCCHihybpYsbf3x+FhYWYPn06Pn/+DKBuC3xAQAB+/fVXxum4LTw8HEePHsXgwYNZRyGNCAsLw8SJE4XGq6qqEBgYiJUrVzZ9KAIAKC0thby8vND4u3fvICMjwyARqffp0yeEhITg2rVrsLa25hfFrEdnntmqqanBsmXLsH79epSUlAAAlJSU4Ofnh/nz50NCQoJxQkIIIf8NOpMupkpKSpCcnAw5OTm0adOGHmRFgK6uLm7cuAFTU1PWUUgjlJWVMWDAAISEhPD7bqekpMDNzQ2FhYXIzs5mG5DDBg8ejE6dOmHp0qVQUlJCYmIiDAwMMHr0aNTU1OD48eOsI3LWt84/05ln9n799Vfs3r0bQUFBsLe3BwBER0dj8eLFmDx5MpYvX844ISGEkP8GTdIJ+YesX78emZmZ2LZtG211F0EN+26HhoYiNTUVv/zyC4YPH47ff/8dKioqrCNy1pMnT9C3b1907NgR169fh7OzM54+fYp3794hJiYGrVu3Zh2REJGkq6uL4OBgODs7C4yfOXMG06dPx8uXLxklI0Q8fPr0CbKysqxjECKEJuliprS0FKtWrfpqcbLMzExGyYiLiwsiIyOhrq4OCwsLoW2hJ0+eZJSM1KupqcHs2bOxfft2SEpKYu/evRgzZgzrWATAhw8fsG3bNiQkJKCkpAQdO3bEjBkzoKOjwzoaISJLVlYWiYmJQju4UlJS0KFDB5SXlzNKRojoqqmpwfLlyxEcHIzXr18jNTUVxsbGCAwMhKGhIby8vFhHJITOpIubSZMmISoqCuPHj2+0Zy1hR1VVFS4uLqxjkG84f/48wsPDYWdnh9TUVOzevRu9e/em4nEiQEVFBfPnz2cdgwBwdXVFWFgYlJWV4erq+s176eUjW+3bt8e2bduwZcsWgfFt27ahffv2jFIRItqWLVuGvXv3Ys2aNZg8eTJ/3NLSEps2baJJOhEJNEkXMxcvXsT58+f5Z8+I6AgNDWUdgXzD1KlTsXfvXixfvhy+vr54/fo1PD09YWVlhR07duCnn35iHZFTcnNzoa+v/933v3z5Ei1btvwXE5F6Kioq/BfAdAxEtK1ZswZDhgzBtWvXYGdnBwC4c+cOnj9/jgsXLjBOR4ho2rdvH0JCQtC3b19MmzaNP96+fXs8e/aMYTJC/oO2u4sZIyMjXLhwQaCXMBEdVVVVuHHjBjIyMuDm5gYlJSW8evUKysrKUFRUZB2P0ywtLXHw4EGh1aXt27cjICCAXxmZNI3mzZtj+PDhmDRpEjp37tzoPR8+fMDRo0exefNmTJkyBbNmzWrilISIvlevXmH79u38yUW7du0wffp02iFEyFfIycnh2bNnMDAwgJKSEhISEmBsbIykpCR06dKFngeISKBJupg5cOAAzpw5g7179zbasoiwk5OTg4EDByI3NxcVFRX8M04+Pj6oqKhAcHAw64icVlFR8dUuCCkpKTAzM2viRNxWWFiI5cuXY8+ePZCVlUWnTp2gq6sLWVlZvH//HklJSXj69Ck6duyIwMBAam1ICCHkH9GpUyfMmTMH48aNE5ikL1myBFevXsWtW7dYRySEtruLm/Xr1yMjIwPNmzeHoaGhUHGyuLg4RsmIj48PbG1tkZCQAA0NDf64i4uLwJknwoaMjAwyMjIQGhqKjIwMbN68Gdra2rh48eLf2nZN/hkaGhrYsGEDli9fjvPnzyM6Oho5OTkoLy+HpqYmxo4diwEDBsDS0pJ1VM6xsbH57non9JnD3vv377F7924kJycDAMzNzeHh4QF1dXXGyQgRTQsXLsSECRPw8uVL1NTU4OTJk0hJScG+ffvw559/so5HCABaSRc7QUFB37y+aNGiJkpCvqShoYHbt2/DzMxM4M1sdnY2zM3NUVZWxjoip0VFRWHQoEGwt7fHzZs3kZycDGNjY6xatQoPHjygXtyE/J+/+pxpiD5z2Lp58yaGDh0KFRUV2NraAgAePnyIoqIinDt3Dr169WKckBDRdOvWLSxZskSgo8jChQvRv39/1tEIAUCTdEL+MWpqaoiJiYG5ubnAJD06OhojRozA69evWUfkNDs7O4wcORK+vr4CP5/Y2Fi4urrixYsXrCMSQsjfYmVlBTs7O+zYsQOSkpIAgOrqakyfPh23b9/G48ePGSckhBDy36BJuhgqKirC8ePHkZGRAX9/f6irqyMuLg7Nmzen6scMjRo1CioqKggJCYGSkhISExOhpaWFYcOGQV9fn6q/M6aoqIjHjx/DyMhIaKdD27Zt8enTJ9YRCRFZDx48ENhO3alTJ8aJCFBXAOvRo0dCNTWoTzohf+3z588oKChATU2NwDgdgSOigM6ki5nExEQ4OTlBRUUF2dnZmDx5MtTV1XHy5Enk5uZi3759rCNy1vr16zFgwACYm5vj06dPcHNzQ1paGjQ1NXH48GHW8ThPVVUVeXl5MDIyEhiPj4+nl1uEfMWLFy8wZswYxMTEQFVVFUDdi+Lu3bsjPDwcrVq1YhuQ4zp27Ijk5GShSXpycjL1SSfkK9LS0uDp6Ynbt28LjNfW1oLH46G6uppRMkL+gybpYsbX1xcTJ07EmjVroKSkxB8fPHgw3NzcGCYjrVq1QkJCAo4cOcI/4+Tl5YWxY8dCTk6OdTzOGz16NAICAnDs2DHweDzU1NQgJiYGc+fOhbu7O+t4hIikSZMmobKyUmAimJKSAg8PD0yaNAmXLl1inJDbZs2aBR8fH6Snp6Nbt24AgLt372L79u1YtWoVEhMT+fdaW1uzikmISJk4cSKaNWuGP//8Ezo6Ot9dKJOQpkTb3cWMiooK4uLi0Lp1a4Etuzk5OTAzM6Mtu4R8xefPnzFjxgyEhYWhuroazZo1Q3V1Ndzc3BAWFsY/z0kI+Q85OTncvn0bNjY2AuMPHz5Ez549qSAmYxISEt+8zuPxaHWQkC8oKCjg4cOHaNu2LesohHwVraSLGRkZGRQXFwuNp6amQktLi0EiQsSDtLQ0/vjjDyxcuBCPHz9GSUkJbGxs0KZNG9bRCID9+/cjODgYWVlZuHPnDgwMDLBp0yYYGRlh2LBhrONxlp6eHiorK4XGq6uroauryyARaSgrK4t1BELEjrm5Od6+fcs6BiHfRJN0MePs7IwlS5bg6NGjAOrekufm5iIgIAAjRoxgnI4Q0aenpwc9PT3WMUgDO3bswMKFCzF79mwsX76cv+KnqqqKTZs20SSdobVr18Lb2xvbt2/nt/h68OABfHx8sG7dOsbpiIGBAesIhIid1atX45dffsGKFStgZWUFKSkpgevKysqMkhHyH7TdXcx8+PABP/74Ix48eICPHz9CV1cX+fn5sLOzw4ULF6CgoMA6IiEiY9WqVfDx8fmumgD37t3D27dvMWTIkCZIRhoyNzfHihUrMHz4cIFjPE+ePEGfPn1oxYMhNTU1lJWVoaqqCs2a1b3Xr//6y8+bd+/esYjIeRkZGdi0aZNA9X0fHx+0bt2acTJCRFP9MZEvz6LT0RAiSmglXcyoqKjg6tWriI6ORmJiIkpKStCxY0c4OTmxjsZp1dXViImJgbW1Nb8CMmEvKSkJ+vr6GDlyJIYOHQpbW1v+sZCqqiokJSUhOjoaBw4cwKtXr6g7AiNZWVlCZ56BuuM9paWlDBKReps2bWIdgXzD5cuX4ezsjA4dOsDe3h4AEBMTAwsLC5w7dw79+vVjnJAQ0RMZGck6AiF/iVbSCfmHyMrKIjk5WajFF2ErISEB27Ztw/Hjx1FcXAxJSUnIyMjwC17Z2Nhg0qRJmDhxImRlZRmn5SZzc3OsXLkSw4YNE1hJ37p1K0JDQxEXF8c6IiEiycbGBgMGDMCqVasExufNm4crV67Q7w4hhIgpWkkXA1u2bMGUKVMgKyuLLVu2fPPeWbNmNVEq8iVLS0tkZmbSJF3EtG/fHn/88Qd27tyJxMRE5OTkoLy8HJqamujQoQM0NTVZR+Q8X19fzJgxA58+fUJtbS1iY2Nx+PBhrFy5Ert27WIdj3OKi4v5ZzIbK1TaEJ3dZCs5OZlfo6YhT09P2gVBSAOJiYmwtLSEhISEQGvCxlC7QiIKaCVdDBgZGeHBgwfQ0ND45gSQx+MhMzOzCZORhi5duoRff/0VS5cuRadOnYTOa9LDLCFfd/DgQSxevBgZGRkAAF1dXQQFBcHLy4txMu6RlJREXl4etLW1ISEh0WgPYTq7KRr09PSwYcMGjBw5UmD86NGjmDt3LnJzcxklI0S0SEhIID8/X+DvWmNTIPq7RkQFTdIJ+Yc07Ffb8KGWHmYJ+X5lZWUoKSmBtrY26yicFRUVBXt7ezRr1gxRUVHfvLd3795NlIo0ZsmSJdi4cSPmzZuH7t27A6g7k7569Wr4+voiMDCQcUJCRENOTg709fXB4/GQk5PzzXupawIRBTRJJ+QfQg+zhBBCmlJtbS02bdqE9evX49WrVwDqdqH4+/tj1qxZje6CIIQQIvpoki5mRowYgS5duiAgIEBgfM2aNbh//z6OHTvGKBkhhPx3Xr9+jblz5yIiIgIFBQVCWxBpFwo7oaGhUFRUFNpOfezYMZSVlWHChAmMkpGqqiocOnQIAwYMQPPmzfHx40cAgJKSEuNkhIies2fPfve9zs7O/2ISQr4PTdLFjJaWFq5fvw4rKyuB8cePH8PJyQmvX79mlIwAwK1bt7Bz505kZmbi2LFjaNmyJfbv3w8jIyP06NGDdTxCRNKgQYOQm5uLmTNnQkdHR2j1b9iwYYySEVNTU+zcuRMODg4C41FRUZgyZQpSUlIYJSMAIC8vj+TkZNqeS8hfaHgk8VvoeCIRFVTdXcyUlJRAWlpaaFxKSuovq/CSf9eJEycwfvx4jB07FnFxcaioqAAAfPjwAStWrMCFCxcYJyQNFRcX4/r16zAzM0O7du1Yx+G06Oho3Lp1Cx06dGAdhXwhNze30YKlBgYGVJRMBHTp0gXx8fE0SSfkL9TU1LCOQMjf8n2vlYjIsLKywpEjR4TGw8PDYW5uziARqbds2TIEBwfjjz/+gJSUFH/c3t6eetWKgJ9++gnbtm0DAJSXl8PW1hY//fQTrK2tceLECcbpuE1PT6/RKruEPW1t7UbbFSUkJEBDQ4NBItLQ9OnT4efnh23btuHOnTtITEwU+EcIIUQ80Uq6mAkMDISrqysyMjLg6OgIAIiIiMDhw4fpPDpjKSkp6NWrl9C4iooKioqKmj4QEXDz5k3Mnz8fAHDq1CnU1taiqKgIe/fuxbJlyzBixAjGCblr06ZNmDdvHnbu3AlDQ0PWcUgDY8aMwaxZs6CkpMT/+xYVFQUfHx+MHj2acTpS/zOYNWsWf6y+tRRt2yXk6yIiIrBx40YkJycDANq1a4fZs2fDycmJcTJC6tAkXcwMHToUp0+fxooVK3D8+HHIycnB2toa165do+rhjLVo0QLp6elCk4zo6GgYGxuzCUX4Pnz4AHV1dQB1Pe1HjBgBeXl5DBkyBP7+/ozTcduoUaNQVlaG1q1bQ15eXmAnCgC8e/eOUTKydOlSZGdno2/fvmjWrO6RoaamBu7u7lixYgXjdCQrK4t1BELEzu+//w4fHx/8+OOP8PHxAQDcvXsXgwcPxsaNGzFjxgzGCQmhwnGE/GNWrlyJAwcOYM+ePejXrx8uXLiAnJwczJkzB4GBgfD29mYdkdNMTU2xbNkyDBkyBEZGRggPD4ejoyMSEhLQt29fvH37lnVEztq7d+83r1MFcfbS0tLw6NEjyMnJwcrKis5AE0LEVqtWrTBv3jzMnDlTYHz79u1YsWIFXr58ySgZIf9Bk3Qx8/z5c/B4PLRq1QoAEBsbi0OHDsHc3BxTpkxhnI7bamtrsWLFCqxcuRJlZWUAABkZGcydOxdLly5lnI7UvzlXVFSEgYEB4uLiICEhga1bt+LkyZOIjIxkHZEQkVddXY3Hjx/DwMAAampqrOMQ1L1AiYyMREFBgVBxrIULFzJKRYjoUlRUxKNHj2BiYiIwnpaWBhsbG5SUlDBKRsh/0CRdzPTs2RNTpkzB+PHjkZ+fD1NTU1haWiItLQ3e3t70gSwCPn/+jPT0dJSUlMDc3ByKioqsI5H/8/DhQ+Tm5qJfv378n8v58+ehpqaG7t27M07HLcXFxVBWVuZ//S3195GmN3v2bFhZWcHLywvV1dXo3bs3bt++DXl5efz555/o06cP64ic9scff+Dnn3+GpqYmWrRoIdC+kMfjUdFSQhrh5uYGGxsboaNu69atw4MHDxAeHs4oGSH/QZN0MaOmpoa7d+/CzMwMW7ZswZEjRxATE4MrV65g2rRpyMzMZB2Rszw9PbF582YoKSkJjJeWlsLb2xt79uxhlIwAwJIlSzB37lzIy8sLjJeXl2Pt2rX0gquJSUpKIi8vD9ra2pCQkBDqjQ6Ail+JgFatWuH06dOwtbXF6dOnMX36dNy4cQP79+/H9evXERMTwzoipxkYGGD69OkICAhgHYUQsbFs2TKsW7cO9vb2sLOzA1B3Jj0mJgZ+fn4CL4YbFmUkpCnRJF3MKCoq4smTJzA0NISzszPs7e0REBCA3NxcmJmZoby8nHVEzmo46Wjo7du3aNGiBaqqqhglI8DXfz6FhYXQ1tamiWATi4qKgr29PZo1a4aoqKhv3ktFMdmRlZVFeno6WrVqhSlTpkBeXh6bNm1CVlYW2rdv/5e7IMi/S1lZGY8ePaLipIT8DUZGRt91H4/Ho8UvwgxVdxczFhYWCA4OxpAhQ3D16lX+WedXr15Rz1pGiouLUVtbi9raWnz8+BGysrL8a9XV1bhw4YLQxJA0vfpV2S8lJCTwq76TptNw4k2TcNHVvHlzJCUlQUdHB5cuXcKOHTsAAGVlZZCUlGScjowcOZK/k44Q8n2oKwIRBzRJFzOrV6+Gi4sL1q5diwkTJqB9+/YAgLNnz6JLly6M03GTqqoqeDweeDweTE1Nha7zeDwEBQUxSEaAuiMiDX8+DSfq1dXVKCkpoQdcBhITE7/7Xmtr638xCfkWDw8P/PTTT9DR0QGPx+P3EL537x7atm3LOB03bdmyhf+1iYkJAgMDcffuXVhZWQm1L6StuoQQIp5ou7sYqq6uRnFxsUBl3ezsbMjLy9OKLQNRUVGora2Fo6MjTpw4IbAqKy0tDQMDA+jq6jJMyG179+5FbW0tPD09sWnTJqioqPCvSUtLw9DQkH8mjTSd+nPof/URRGfS2Tt+/DieP3+OkSNH8juL7N27F6qqqhg2bBjjdNxDW3UJ+ft8fX2xdOlSKCgowNfX95v3btiwoYlSEfJ1NEkn5B+Sk5MDfX39RrdUE7aqqqpw8OBBODo6Qk9Pj3Ucgrrfl+9FPbkJIYT8/3BwcMCpU6egqqoKBweHr97H4/Fw/fr1JkxGSONokk7IP+TmzZvfvN6rV68mSkIaIy8vj+TkZJrwEfIXtmzZgilTpkBWVlZga3VjaDs1W9S1ghBC/jfRJJ2Qf4iEhITQ2Jfnnwk7ffr0wezZszF8+HDWUUgjUlJSsHXrViQnJwMA2rVrB29vb5iZmTFOxj1GRkZ48OABNDQ0vrm1mrZTs0ddKwj5+z58+IDq6mqhorHv3r1Ds2bNBFqwEcIKFY4j5B/y/v17ge8rKysRHx+PwMBALF++nFEqUm/69Onw8/PDixcv0KlTJygoKAhcp+Jk7Jw4cQKjR4+Gra2tQM9aS0tLhIeHY8SIEYwTckvDysdUBVm0UdcKQv6+0aNHY+jQoZg+fbrA+NGjR3H27FlcuHCBUTJC/oNW0gn5l0VFRcHX1xcPHz5kHYXTvrbTof4hl1ac2GndujXGjh2LJUuWCIwvWrQIBw4cQEZGBqNkhIim+q4VHz58gLKy8le7Vmzfvp1hSkJEk7q6OmJiYtCuXTuB8WfPnsHe3h6FhYWMkhHyH7SSLgb+6kxgQ3Q+UPQ0b94cKSkprGNwHq0Iiq68vDy4u7sLjY8bNw5r165lkIjb/qrycUNUBZmNTZs28btWBAUFUdcKQv6GiooKVFVVCY1XVlaivLycQSJChNEkXQxs3Ljxu+7j8Xg0SWfoy77PtbW1yMvLw6pVq9ChQwc2oQgfFYwTXX369MGtW7dgYmIiMB4dHY2ePXsySsVd8fHxAt/HxcWhqqqKXx8gNTUVkpKS6NSpE4t4BMCECRMA1NUP6N69u1B/dELI13Xp0gUhISHYunWrwHhwcDD9XSMigybpYoBWAMVDhw4dGu373K1bN+zZs4dRKvKlpKQk5Obm4vPnzwLjzs7OjBIRZ2dnBAQE4OHDh+jWrRuAujPpx44dQ1BQEM6ePStwL/l3RUZG8r/esGEDlJSUsHfvXqipqQGoq7/h4eFBL1BEQO/evVFTU4PU1FQUFBSgpqZG4Dp1FSFE2LJly+Dk5ISEhAT07dsXABAREYH79+/jypUrjNMRUofOpBPyD/my77OEhAS0tLQgKyvLKBFpKDMzEy4uLnj8+LHAy5T6s5x0Jp2dxuoFNIZqBzS9li1b4sqVK7CwsBAYf/LkCfr3749Xr14xSkaAupdZbm5uyMnJEXpBTL8vhHzdo0ePsHbtWjx69AhycnKwtrbGr7/+ijZt2rCORggAWkkXSy9evMDZs2cbXQ2k84Hs0HZq0ebj4wMjIyNERETAyMgIsbGxKCwshJ+fH9atW8c6Hqd9ufpHREdxcTHevHkjNP7mzRt8/PiRQSLS0LRp02Bra4vz589DR0en0UrvhBBhHTp0wMGDB1nHIOSraJIuZiIiIuDs7AxjY2M8e/YMlpaWyM7ORm1tLTp27Mg6HudFRERg48aNAr2eZ8+eDScnJ8bJyJ07d3D9+nVoampCQkICEhIS6NGjB1auXIlZs2YJncMlhAAuLi7w8PDA+vXr0aVLFwDAvXv34O/vD1dXV8bpSFpaGo4fPy5Uz4EQ8nVxcXGQkpKClZUVAODMmTMIDQ2Fubk5Fi9eDGlpacYJCaFJutj59ddfMXfuXAQFBUFJSQknTpyAtrY2xo4di4EDB7KOx2m///47fHx88OOPP8LHxwdA3VbEwYMHY+PGjZgxYwbjhNxWXV0NJSUlAICmpiZevXoFMzMzGBgYUPV9BrZs2YIpU6ZAVlb2LztYUEFMdoKDgzF37ly4ubmhsrISANCsWTN4eXlR5X0R0LVrV6Snp9MknZC/YerUqZg3bx6srKyQmZmJUaNGwdXVFceOHUNZWRk2bdrEOiIhdCZd3CgpKeHRo0do3bo11NTUEB0dDQsLCyQkJGDYsGHIzs5mHZGzWrVqhXnz5mHmzJkC49u3b8eKFSvw8uVLRskIAPTs2RN+fn4YPnw43Nzc8P79eyxYsAAhISF4+PAhnjx5wjoipxgZGeHBgwfQ0NCAkZHRV+/j8XjIzMxswmSkMaWlpfx+9a1bt4aCggLjRAQATp06hQULFsDf3x9WVlZCVd6tra0ZJSNEdKmoqCAuLg6tW7fG6tWrcf36dVy+fBkxMTEYPXo0nj9/zjoiIbSSLm4UFBT459B1dHSQkZHBL+jz9u1bltE4r6ioqNHdDP3790dAQACDRKShBQsWoLS0FACwZMkS/PDDD+jZsyc0NDRw5MgRxum4p2HXCupgIfoUFBRowieCRowYAQDw9PTkj9UXxqTCcYQ0rra2ll8L5dq1a/jhhx8AAHp6evQsTUQGTdLFTLdu3RAdHY127dph8ODB8PPzw+PHj3Hy5El+6yLChrOzM06dOgV/f3+B8TNnzvA/AAg7AwYM4H9tYmKCZ8+e4d27d1BTU6NiS4QQsUQvuAj5+2xtbflt2KKiorBjxw4Adb9PzZs3Z5yOkDq03V3MZGZmoqSkBNbW1igtLYWfnx9u376NNm3aYMOGDVRhnKFly5Zh3bp1sLe3h52dHYC6M+kxMTHw8/ODsrIy/146Y0vIf4wYMQJdunQR2nGyZs0a3L9/H8eOHWOUjBBCyP+axMREjB07Frm5ufD19cWiRYsAAN7e3igsLMShQ4cYJySEJulipbq6GjExMbC2toaqqirrOOQL3zpX2xCdsSVEkJaWFq5fv86vtFvv8ePHcHJywuvXrxklI0Q8JCUlNdqW1dnZmVEiQsTPp0+fICkpKVTbgRAWaLu7GJGUlET//v2RnJxMk3QRRNsOCfnvlJSUNNryRkpKCsXFxQwSESIeMjMz4eLigsePH/PPogPgH+GhM+mEfD9ZWVnWEQjho0m6mLG0tERmZuZ3r9oSQoios7KywpEjR7Bw4UKB8fDwcJibmzNKRQDg7NmzjY7zeDzIysrCxMSEPo8Y8vHxgZGRESIiImBkZITY2FgUFhbCz88P69atYx2PEJGhrq6O1NRUaGpq/mUtmnfv3jVhMkIaR5N0MbNs2TLMnTsXS5cuRadOnYTa4DQ890yaVm1tLY4fP47IyEgUFBTwK4fWO3nyJKNkhIi2wMBAuLq6IiMjA46OjgCAiIgIHD58mM6jMzZ8+HCBFdp6DSuI9+jRA6dPn4aamhqjlNx1584dXL9+HZqampCQkICEhAR69OiBlStXYtasWYiPj2cdkRCRsHHjRigpKQEA9UEnYoHOpIsZCQkJ/tcN3wJSuxX2fHx8sHPnTjg4OKB58+ZCb2lDQ0MZJSMArQiKuvPnz2PFihV49OgR/kzvmgAATa5JREFU5OTkYG1tjUWLFqF3796so3FaREQE5s+fj+XLl6NLly4AgNjYWAQGBmLBggVQUVHB1KlT0bVrV+zevZtxWu5RU1NDXFwcjIyM0Lp1a+zatQsODg7IyMiAlZUVysrKWEckhBDyX6BJupiJior65nV6oGVHXV0dBw4cwODBg1lHIY2QkJCgFUFC/iZLS0uEhISge/fuAuMxMTGYMmUKnj59imvXrsHT0xO5ubmMUnJXz5494efnh+HDh8PNzQ3v37/HggULEBISgocPH+LJkyesIxIiEv5OfRPalUpEAW13FzM0CRddKioqMDY2Zh2DfMXVq1e/a0Vw7ty5tCLYxJ4/fw4ej4dWrVoBqPu5HDp0CObm5pgyZQrjdNyWkZHR6AOrsrIyv0tFmzZt8Pbt26aORgAsWLAApaWlAIAlS5bghx9+QM+ePaGhoYEjR44wTkeI6FBVVf3mOfSGaFcqEQW0ki5mbt68+c3rvXr1aqIk5Et79+7FpUuXsGfPHsjJybGOQ75AK4Kiq2fPnpgyZQrGjx+P/Px8mJqawtLSEmlpafD29hYqKEeaTo8ePaCkpIR9+/ZBS0sLAPDmzRu4u7ujtLQUN2/exLVr1zBjxgykpKQwTkuAuqJXf1UYixCuabgTNTs7G/PmzcPEiRNhZ2cHoK6+w969e7Fy5UpMmDCBVUxC+GiSLmYankmv1/CDmN7+sVNeXg4XFxfExMTA0NBQqM9mXFwco2QEAOTk5HD//n1YWloKjD9+/BhdunRBeXk5cnJy0K5dOzrH2cTU1NRw9+5dmJmZYcuWLThy5AhiYmJw5coVTJs2jb9iS5peSkoKhg0bhqysLOjp6QGo2/lgbGyMM2fOwNTUFKdPn8bHjx8xfvx4xmkJIeSv9e3bF5MmTcKYMWMExg8dOoSQkBDcuHGDTTBCGqDt7mLm/fv3At9XVlYiPj4egYGBWL58OaNUBAAmTJiAhw8fYty4cY0WjiNsderUCf7+/kIrgr/88gs6d+4MAEhLS+NPREjTqayshIyMDADg2rVrcHZ2BgC0bdsWeXl5LKNxnpmZGZKSknDlyhWkpqbyx/r168d/aTx8+HCGCQkh5O+5c+cOgoODhcZtbW0xadIkBokIEUYr6f8joqKi4Ovri4cPH7KOwlkKCgq4fPkyevTowToKaQStCIqurl27wsHBAUOGDEH//v1x9+5dtG/fHnfv3sWPP/6IFy9esI5ICCHkf4SZmRmGDRuGNWvWCIz/8ssvOHPmDB3dISKBVtL/RzRv3pz+qDCmp6dHFUFFGK0Iiq7Vq1fDxcUFa9euxYQJE9C+fXsAdW3z6ov8EXYiIiIQERGBgoIC1NTUCFzbs2cPo1SEEPLf2bhxI0aMGIGLFy+ia9euAOoKlqalpeHEiROM0xFSh1bSxUxiYqLA97W1tcjLy8OqVatQVVWF6OhoRsnI+fPnsXXrVgQHB8PQ0JB1HELESnV1NYqLiwXa32VnZ0NeXh7a2toMk3FbUFAQlixZAltbW+jo6Agd4zl16hSjZIQQ8t978eIFduzYgeTkZABAu3btMG3aNDryRkQGTdLFzNd6PXfr1g179uxB27ZtGSUjampqKCsrQ1VVFeTl5YUKx717945RMlKPVgQJ+Xt0dHSwZs0aOgIiZvLy8lBZWQl9fX3WUQghhPwXaLu7mMnKyhL4XkJCAlpaWpCVlWWUiNTbtGkT6wjkG/5qRZA0rY4dOyIiIgJqamqwsbH55s+DOiOw8/nzZ6G2hUT0OTo6IjU1lTq+EEKImKJJupiJiorCqFGj+JWQ633+/Bnh4eFwd3dnlIxQX03RFhwcjLCwMFoRFBHDhg3j/x2jWgCia9KkSTh06BACAwNZRyF/w759+6iVJCGEiDHa7i5mJCUlkZeXJ3RGs7CwENra2vTWnLHq6mqcPn2af8bJwsICzs7OkJSUZJyMaGhoIDY2Fq1bt2YdhRCx4ePjg3379sHa2hrW1tZCx3g2bNjAKBkhhBDyv0uCdQDy99TW1ja6LfTFixdQUVFhkIjUS09PR7t27eDu7o6TJ0/i5MmTGDduHCwsLJCRkcE6HufVrwgSQr5fYmIiOnToAAkJCTx58gTx8fH8f48ePWIdj/MiIyO/em3nzp1NmIQQQsg/iVbSxUT9mc2EhARYWFigWbP/nFSorq5GVlYWBv6/9u48rOa0/wP4+7TRHhLZ2rUoTck2kZ1oLFMPY+zbWAbZl3kY2aZpDCbbMBQ1xlgmO2MXkb0okVSWMDURSWXr9P390c8ZR/EYzrhPc96v6+q6Ovd9HO+pOenz/d735/b1xaZNmwSm1GydOnWCJElYt24dKleuDKBkhUOfPn2gpaWF3bt3C06o2XhHUL1UqlTprfsCsOkiUdkqVKiAwMBABAcHK36m3bt3DwMHDsTx48fx4MEDwQmJ1M/jx48hSRIMDAwAADdv3sTWrVvh4uKC9u3bC05HVIJ70suJF3s2L1y4gA4dOsDIyEgxp6enB2trawQEBAhKR0BJv4BTp04pCnSgZIl1SEgIvL29BSYj4K87ggCQlJSkNMcmch/ey40Wc3JyMHfuXHTo0AFNmzYFAJw8eRL79u3jXmiiN4iOjka/fv1w4MAB/Prrr7h+/ToGDx4MR0dHrnQgeo2uXbvC398fw4cPR25uLho3bgxdXV3cu3cPCxcuxIgRI0RHJOKd9PImMjISn332Gbu5q6HKlStj165dpTohx8bGonPnzrwbSPQaAQEBaNWqFUaNGqU0vnTpUhw8eBDbtm0TE0xD+fv7IyIiAiYmJvD393/jc7ds2fKBUtHr5OfnY/jw4YiKikJxcTHmzJmDyZMn8+Ij0WuYm5vj6NGjqFevHsLCwrBkyRKcP38emzdvxowZMxR9hYhE4p70cqZ///4s0NXUJ598gqFDh+L06dOQJAmSJOHUqVMYPnw4unTpIjoekdrat28ffH19S437+vri4MGDAhJpNlNTU0WBZ2pq+sYPEu/q1as4d+4catWqBR0dHaSkpLCzO9EbFBYWwtjYGACwf/9++Pv7Q0tLC02aNMHNmzcFpyMqweXu5YxcLscPP/yATZs2ISMjA8+ePVOa591acRYvXoz+/fujadOmir2BRUVF6NKlCxYtWiQ4nWbiHcHyoUqVKti+fTsmTJigNL59+3ZUqVJFUCrNtWbNGgAljUpnzZqFqlWrQl9fX3AqKktISAiCgoIwdOhQfP/990hLS0Pfvn1Rv359/PLLL4rtI0T0F3t7e2zbtg2ffvop9u3bh3HjxgEAsrOzYWJiIjgdUQkW6eXMrFmzEBYWhgkTJmD69OmYNm0abty4gW3btmHGjBmi42k0MzMzbN++HWlpaYqlUs7OzrC3txecTHO9ekeQ1NOsWbMwZMgQHDlyBI0bNwYAnD59Gnv37sWqVasEp9NckiTB3t4ely5dgoODg+g4VIZFixZh27Zt6NixIwDA1dUVZ86cwX//+1+0bNkST58+FZyQSP3MmDEDvXr1wrhx49C6dWvFxaz9+/fDw8NDcDqiEtyTXs7Y2dlh8eLF8PPzg7GxMS5cuKAYO3XqFI+YIqJy6fTp01i8eLHSBa7AwEBF0U5i1KtXD+Hh4WjSpInoKFSGe/fuwdzcvMy5o0ePokWLFh84EVH5kJWVhczMTLi7u0NLq2T375kzZ2BiYgInJyfB6YhYpJc7hoaGSE5ORp06dWBpaYndu3fD09MT165dg4eHBx4+fCg6osYKCAhAo0aNMGXKFKXxefPm4ezZs/jtt98EJSMiejc7d+7EvHnzsHz5cri6uoqOQ2XIzc1FVFQU0tPTMWnSJFSuXBnx8fGoVq0aatasKToekdpKS0tDeno6fHx8oK+vD0mS2HCR1AYbx5UztWrVQmZmJoCSu+r79+8HAJw9exYVKlQQGU3jxcTEoFOnTqXGO3bsiJiYGAGJ6GU5OTkYOXIkXFxcYG5ujsqVKyt9EFFp/fr1w5kzZ+Du7g59fX2+b9RMYmIi6tati++++w7z589Hbm4ugJIeG1999ZXYcERqKicnB23atEHdunXRqVMnxe/VgwcPLtUbhUgU7kkvZz799FMcOnQIjRs3xujRo9GnTx+Eh4cjIyND0fiCxMjPz4eenl6pcV1dXeTl5QlIRC/r27cv0tLSMHjwYFSrVo1Xy4newsvn2ZP6GTduHAYMGIB58+YpulUDQKdOndCrVy+ByYjU17hx46Crq4uMjAw4Ozsrxj/77DOMHz8eCxYsEJiOqASXu5dzJ0+exMmTJ+Hg4IDOnTuLjqPRGjVqhE8++aRUA7+ZM2di586diIuLE5SMAMDY2BjHjx+Hu7u76ChERCphamqK+Ph42NnZwdjYGAkJCbC1tcXNmzfh6OiIJ0+eiI5IpHaqV6+Offv2wd3dXel9c+3aNdSvXx/5+fmiIxLxTnp517RpUx6xoia+/vpr+Pv7Iz09Ha1btwYAHDp0COvXr+d+dDXg5OSEx48fi45BVO6kp6djzZo1SE9Px6JFi2BhYYE9e/agTp06qFevnuh4Gq1ChQplrtS6evUqqlatKiARkforKCiAgYFBqfH79+9z6yipDd5JL4dSU1MRHR2N7OxsFBcXK83xGDaxdu/ejeDgYFy4cAH6+vqoX78+goKC2GFXDZw9exZTp07FjBkz4OrqqjjL/gWejao+8vLycPjwYTg6OiotRaQP7+jRo+jYsSO8vb0RExOD5ORk2NraIiQkBOfOnUNUVJToiBptyJAhyMnJwaZNm1C5cmUkJiZCW1sb3bp1g4+PD7crEJWhU6dOaNCgAebMmQNjY2MkJibCysoKPXv2RHFxMX+ukVpgkV7OrFq1CiNGjIC5uTmqV6+utK9WJpMhPj5eYDoi9ZWamopevXqVeo+86OYql8sFJaMePXrAx8cHo0aNwuPHj+Hu7o4bN25AkiRs2LABAQEBoiNqrKZNm6J79+4YP3680rLQM2fOwN/fH7dv3xYdUaM9fPgQ//nPf3Du3Dk8evQINWrUQFZWFpo2bYrff/8dhoaGoiMSqZ2kpCS0adMGnp6eOHz4MLp06YJLly7h/v37iI2NhZ2dneiIRCzSyxsrKyt8+eWXpY75IqI3a9SoEXR0dDBmzJgyG8dxtYM4L+8P/PXXXxEUFISEhARERkZi5cqVOH/+vOiIGsvIyAgXL16EjY2NUpF+48YNODk5cc+zmoiNjUVCQgLy8/Ph6emJtm3bio5EpNYePnyIpUuXKr1vRo4cCUtLS9HRiABwT3q58+DBA3Tv3l10DKJyJykpCefPn4ejo6PoKPSKhw8fKo7z2rt3LwICAmBgYAA/Pz9MmjRJcDrNZmZmhszMTNjY2CiNnz9/nmdwqxFvb294e3uLjkFUbpiammLatGmiYxC9Fs9JL2e6d++uOBudiN6el5cXbt26JToGlaF27do4efIkCgoKsHfvXrRv3x5AyUXJihUrCk6n2Xr27IkpU6YgKysLMpkMxcXFiI2NxcSJE9GvXz/R8TTShg0b3vq5t27dQmxs7D+Yhqh8SExMVPRxSkxMfOMHkTrgcvdy5ttvv8XChQvh5+cHNze3Us2vAgMDBSUjUm+//fYbZs6ciUmTJpX53qlfv76gZPTjjz9izJgxMDIygpWVFeLj46GlpYUlS5Zgy5YtiI6OFh1RYz179gwjR45EREQE5HI5dHR0IJfL0atXL0REREBbW1t0RI3TokULZGdnY+DAgejcuXOp5ooPHz5EbGwsfvnlFxw4cADh4eHo0qWLoLRE6kFLSwtZWVmwsLCAlpYWZDIZyiqB2KOG1AWL9HLm1SWHL5PJZLh27doHTENUfmhplV449OIfaf6jLN65c+dw69YttGvXDkZGRgBKTkswMzPjMl41kJGRgaSkJOTn58PDwwMODg6iI2m0HTt2YMmSJTh8+DAMDQ1RrVo1VKxYEQ8ePEBWVhbMzc0xYMAAjBs3DtWqVRMdl0i4mzdvok6dOpDJZLh58+Ybn2tlZfWBUhG9Hot0og9g9uzZaNWqFZo3by46isbiP8rlh1wux8WLF2FlZYVKlSqJjkMouaN+/fp12NnZQUeH7WzUxb1793D8+HHcvHkTjx8/hrm5OTw8PODh4VHmhUkiAmJiYvDxxx+X+llWVFSEEydOwMfHR1Ayor+wSCf6AGxsbPDnn3+iTZs22Llzp+g4Guf58+dwcnLCrl27eO62Gho7dizc3NwwePBgyOVytGjRAidOnICBgQF27dqFli1bio6osQoLCzF69GhERkYCAK5evQpbW1uMHj0aNWvWxNSpUwUnJCL6e7S1tZGZmQkLCwul8ZycHFhYWHBlHakFXmYl+gCuX7+OnJwcjBgxQnQUjaSrq8ujotRYVFQU3N3dAQA7d+7E9evXceXKFYwbN47ddwX76quvkJCQgCNHjig18Wvbti02btwoMBkR0bt5sc3tVTk5OTA0NBSQiKg03kknIo0QHByMq1evIiwsjMt11UzFihWRlpaGWrVqYejQoTAwMEBoaCiuX78Od3d35OXliY6osaysrLBx40Y0adJE6Zz0tLQ0eHp68ntDROWGv78/AGD79u3w9fVFhQoVFHNyuRyJiYlwdHTE3r17RUUkUuBvqkQqdOzYMfz0009IT09HVFQUatasibVr18LGxgbNmjUTHU+jnT17FocOHcL+/fvh5uZW6mr5li1bBCWjatWq4fLly7C0tMTevXuxfPlyACVLrdk9XKy7d++WWhIKAAUFBWXeiSIiUlempqYASu6kGxsbQ19fXzGnp6eHJk2a4IsvvhAVj0gJi/R/kaSkJLi6uoqOobE2b96Mvn37onfv3jh//jyePn0KoOQ4nODgYPz++++CE2o2MzMzBAQEiI5BZRg4cCB69OgBS0tLyGQytG3bFgBw+vRpODk5CU6n2by8vLB7926MHj0aABSFeVhYGJo2bSoyGhHR37JmzRoAgLW1NSZOnMil7aTWuNy9nHv06BHWr1+PsLAwxMXFsdmFQB4eHhg3bhz69euntCz0/Pnz6NixI7KyskRHJFJbUVFRuHXrFrp3745atWoBACIjI2FmZoauXbsKTqe5jh8/jo4dO6JPnz6IiIjAsGHDcPnyZZw4cQJHjx5FgwYNREcksPs+EdG/DYv0ciomJgbh4eHYvHkzatSoAX9/fwQEBKBhw4aio2ksAwMDXL58GdbW1kpF+rVr1+Di4sLGZWri7t27SElJAQA4OjqiatWqghPRy548eaLUoIzES09PR0hICBISEpCfnw9PT09MmTIFbm5uoqNpPHbfJ3o7np6eOHToECpVqgQPD483bteJj4//gMmIysbLreVIVlYWIiIiEB4ejry8PPTo0QNPnz7Ftm3b4OLiIjqexqtevTrS0tJgbW2tNH78+HHY2tqKCUUKBQUFGD16NH7++WcUFxcDKDmGpV+/fliyZAkMDAwEJ9RccrkcwcHBWLFiBf78809FofH111/D2toagwcPFh1Ro9nZ2WHVqlWiY1AZXu6+7+vrqxhv27YtZs6cySKd6P917dpV0SiuW7duYsMQvQUW6eVE586dERMTAz8/P4SGhsLX1xfa2tpYsWKF6Gj0/7744guMGTMGq1evhkwmwx9//IGTJ09i4sSJ+Prrr0XH03jjx4/H0aNHsXPnTnh7ewMouYASGBiICRMmKJqV0Yf3zTffIDIyEvPmzVNq2uPq6orQ0FAW6YIVFxcjLS0N2dnZigtcL/j4+AhKRQCwbds2Rff9l+8M1qtXD+np6QKTEamXoKCgMj8nUlcs0suJPXv2IDAwECNGjICDg4PoOFSGqVOnori4GG3atEFhYSF8fHxQoUIFTJw4UdF0icTZvHkzoqKi0LJlS8VYp06doK+vjx49erBIF+jnn3/GypUr0aZNGwwfPlwx7u7ujitXrghMRqdOnUKvXr1w8+ZNvLo7TiaTsQ+KYOy+T/Tunj17VubFxzp16ghKRPQXLdEB6O0cP34cjx49QoMGDdC4cWMsXboU9+7dEx2LXiKTyTBt2jTcv38fSUlJOHXqFO7evYs5c+aIjkYo2btZrVq1UuMWFhYoLCwUkIheuHPnDuzt7UuNFxcX4/nz5wIS0QvDhw+Hl5cXkpKScP/+fTx48EDxcf/+fdHxNN6L7vsvsPs+0f929epVNG/eHPr6+rCysoKNjQ1sbGxgbW0NGxsb0fGIAPBOernRpEkTNGnSBKGhodi4cSNWr16N8ePHo7i4GAcOHEDt2rVhbGwsOqZGe/jwIeRyOSpXrqzUI+D+/fvQ0dGBiYmJwHTUtGlTBAUF4eeff1Y0Jnv8+DFmzZrFX2YFc3FxwbFjx2BlZaU0HhUVBQ8PD0GpCABSU1MRFRVV5kUUEi84OBgdO3bE5cuXUVRUhEWLFil13yei0gYOHAgdHR3s2rVLcfQnkbphd/dyLCUlBeHh4Vi7di1yc3PRrl077NixQ3QsjdWxY0d07twZX375pdL4ihUrsGPHDp6TLtjFixfh6+uLp0+fwt3dHQCQkJCAihUrYt++fahXr57ghJpr+/bt6N+/P7766ivMnj0bs2bNQkpKCn7++Wfs2rUL7dq1Ex1RY7Vu3RqTJ09WakpG6oXd94n+HkNDQ8TFxcHJyUl0FKLXYpH+LyCXy7Fz506sXr2aRbpAlStXRmxsLJydnZXGr1y5Am9vb+Tk5AhKRi8UFhZi3bp1in3Ozs7O6N27N/T19QUno2PHjmH27NlKhcaMGTPQvn170dE02tatWzF9+nRMmjQJbm5u0NXVVZqvX7++oGRERO+mYcOG+OGHH9CsWTPRUYhei0U6kYoYGhri1KlTpe5eXLx4EY0bN+a+ZwFePhd19uzZmDhxIo9aI/obtLRKt66RyWSQJImN49TA77//Dm1tbXTo0EFpfN++fSguLkbHjh0FJSNSX4cPH8b06dMRHBxc5sVHbk8kdcAinUhFWrVqBVdXVyxZskRpfOTIkUhMTMSxY8cEJdNc+vr6SE1NRa1ataCtrY3MzMwyOyGTemCnXfVz8+bNN86/2keAPqz69esjJCQEnTp1Uhrfu3cvpkyZgoSEBEHJiNTXi4uPr+5F58VHUidsHEekInPnzkXbtm2RkJCANm3aAAAOHTqEs2fPYv/+/YLTaaaPPvoIAwcORLNmzSBJEubPnw8jI6MynztjxowPnI5eSE1NxaBBg3DixAmlcf7CJB6LcPWWmpqq1Kj0BScnJ6SlpQlIRKT+oqOjRUcg+p94J51IhS5cuIDvv/8eFy5cgL6+PurXr4+vvvqKZ9sLkpKSgqCgIKSnpyM+Ph4uLi7Q0Sl9bVImkyE+Pl5AQgIAb29v6OjoYOrUqWV22n3R6I8+jB07dqBjx47Q1dX9n31OunTp8oFSUVmqV6+OX3/9Fa1bt1YaP3jwIHr16oXs7GxByYiI6H2wSCcijaClpYWsrCwud1dD7LSrXl5+r5S1J/0FrnIQb9iwYTh58iS2bt0KOzs7AEBaWhoCAgLQsGFDhIWFCU5IpL4KCwuRkZGBZ8+eKY2zISapAy53J1Kh4uJipKWllbmv1sfHR1Aqev78Ofr374+CggLRUagMLi4uuHfvnugY9P9e/tn16s8xUi/z5s2Dr68vnJycUKtWLQDA7du30bx5c8yfP19wOiL1dPfuXQwcOBB79uwpc54XH0kd8E46kYqcOnUKvXr1ws2bN/Hq24p3nMQzMzPD+fPnYWNjIzoKvYKddonenSRJOHDgABISEhTbrHhRmOj1evfujZs3byI0NBQtW7bE1q1b8eeff2Lu3LlYsGAB/Pz8REckYpFOpCofffQR6tati1mzZpW5r9bU1FRQMgKA/v3746OPPsK4ceNER6FXsNOu+lq8eHGZ4zKZDBUrVoS9vT18fHygra39gZMREb0bS0tLbN++HY0aNYKJiQnOnTuHunXrYseOHZg3bx6OHz8uOiIRl7sTqUpqaiqioqJgb28vOgqVwcHBAbNnz0ZsbCwaNGgAQ0NDpfnAwEBByYiddtXXDz/8gLt376KwsBCVKlUCADx48AAGBgYwMjJCdnY2bG1tER0djdq1awtOq5kOHTqEQ4cOlbnNavXq1YJSEamvgoICRX+aSpUq4e7du6hbty7c3NzYRJbUBot0IhVp3Lgx0tLSWKSrqfDwcJiZmSEuLg5xcXFKczKZjEW6QC1atBAdgV4jODgYK1euRFhYmFJjsmHDhmHo0KHw9vZGz549MW7cOERFRQlOq3lmzZqF2bNnw8vLq8wVXERUmqOjI1JSUmBtbQ13d3f89NNPsLa2xooVK2BpaSk6HhEALncnUpmtW7di+vTpmDRpUpn7atktlOgviYmJcHV1hZaWFhITE9/4XL53xLGzs8PmzZvx0UcfKY2fP38eAQEBuHbtGk6cOIGAgABkZmaKCanBLC0tMW/ePPTt21d0FKJy45dffkFRUREGDBiAuLg4+Pr64v79+9DT00NERAQ+++wz0RGJWKQTqUpZRxXJZDLuq1Uzz549w/Xr12FnZ1fmmen0Ybx6zNeL98qr+N4Ry8DAADExMfDy8lIaP3v2LFq0aIHCwkLcuHEDrq6uyM/PF5RSc1WpUgVnzpxRrHIgor+vsLAQV65cQZ06dWBubi46DhEALncnUpnr16+LjkBvUFhYiNGjRyMyMhIAcPXqVdja2mL06NGoWbMmpk6dKjihZrl+/TqqVq2q+JzUU6tWrTBs2DCEhYXBw8MDQMld9BEjRqB169YAgIsXL/LUBEGGDBmCX3/9FV9//bXoKETlloGBATw9PUXHIFLCIp1IRaysrERHoDf46quvkJCQgCNHjsDX11cx3rZtW8ycOZNF+gf28vuF7x31FR4ejr59+6JBgwaKLTxFRUVo06YNwsPDAQBGRkZYsGCByJga68mTJ1i5ciUOHjyI+vXrl9pmtXDhQkHJiNSXJEmIiopCdHR0mQ0Xt2zZIigZ0V+43J1IhdauXYsVK1bg+vXrOHnyJKysrBAaGgobGxt07dpVdDyNZmVlhY0bN6JJkyYwNjZGQkICbG1tkZaWBk9PT+Tl5YmOqLEiIyNhbm6uOJt28uTJWLlyJVxcXLB+/XoW8WrgypUruHr1KoCSpkuOjo6CExFQstLhdWQyGQ4fPvwB0xCVD2PGjMFPP/2EVq1aoVq1aqUaLq5Zs0ZQMqK/sEgnUpHly5djxowZGDt2LL755hskJSXB1tYWERERiIyM5DFTghkYGCi+Jy8X6QkJCfDx8cHDhw9FR9RYjo6OWL58OVq3bo2TJ0+iTZs2CA0Nxa5du6Cjo8O7GkREpDKVK1fGL7/8gk6dOomOQvRaXO5OpCJLlizBqlWr0K1bN4SEhCjGvby8MHHiRIHJCCj5PuzevRujR48GAMWV87CwMDRt2lRkNI1369YtxdGF27Ztw3/+8x/F8V4tW7YUG07DyeVyREREvPYcbt6pVQ9paWlIT0+Hj48P9PX1FQ1Liag0U1NT2Nraio5B9EYs0olU5Pr164rGSi+rUKECCgoKBCSilwUHB6Njx464fPkyioqKsGjRIly+fBknTpzA0aNHRcfTaEZGRsjJyUGdOnWwf/9+jB8/HgBQsWJFPH78WHA6zTZmzBhERETAz88Prq6uLPzUTE5ODnr06IHo6GjIZDKkpqbC1tYWgwcPRqVKldgrgKgMM2fOxKxZs7B69Wro6+uLjkNUJhbpRCpiY2ODCxculNo/u3fvXjg7OwtKRS80a9YMFy5cQEhICNzc3LB//354enri5MmTcHNzEx1Po7Vr1w5DhgyBh4cHrl69qliCeOnSJVhbW4sNp+E2bNiATZs2cVmomho3bhx0dXWRkZGh9O/MZ599hvHjx7NIJypDjx49sH79elhYWMDa2rpUw8X4+HhByYj+wiKdSEXGjx+PkSNH4smTJ5AkCWfOnMH69evx7bffIiwsTHQ8AmBnZ4dVq1aJjkGvWLZsGaZPn45bt25h8+bNqFKlCgAgLi4On3/+ueB0mk1PT0+xFYHUz/79+7Fv3z7UqlVLadzBwQE3b94UlIpIvfXv3x9xcXHo06dPmY3jiNQBG8cRqdC6deswc+ZMpKenAwBq1KiBWbNmYfDgwYKTEVCyv3br1q1ITk4GALi4uKBr167Q0eH1SqKyLFiwANeuXcPSpUv5i6waMjY2Rnx8PBwcHJQaYp47dw4dOnRATk6O6IhEasfQ0BD79u1Ds2bNREchei0W6UT/gMLCQuTn58PCwkJ0FPp/ly5dQpcuXZCVlaU4Purq1auoWrUqdu7cCVdXV8EJNVdMTMwb5318fD5QEnrVp59+iujoaFSuXBn16tUrtSyUnffF6tSpExo0aIA5c+bA2NgYiYmJsLKyQs+ePVFcXIyoqCjREYnUjpOTEzZt2oT69euLjkL0WizSiUgjNG3aFFWrVkVkZCQqVaoEAHjw4AEGDBiAu3fv4sSJE4ITai4tLa1SYy/ftZXL5R8yDr1k4MCBb5znecJiJSUloU2bNvD09MThw4fRpUsXXLp0Cffv30dsbCzs7OxERyRSO7t378aSJUuwYsUK9j0htcUineg9eHp64tChQ6hUqRI8PDzeuByUjUjE0tfXx7lz51CvXj2l8aSkJDRs2JBdxAV69Yz658+f4/z58/j666/xzTffoE2bNoKSEam/hw8fYunSpUhISEB+fj48PT0xcuRIWFpaio5GpJYqVaqEwsJCFBUVwcDAoNQKofv37wtKRvQXbsQkeg9du3ZFhQoVAADdunUTG4beqG7duvjzzz9LFenZ2dlsjCWYqalpqbF27dpBT08P48ePR1xcnIBU9EJRURGOHDmC9PR09OrVC8bGxvjjjz9gYmICIyMj0fE0nqmpKaZNmyY6BlG5ERoaKjoC0f/EO+lEpBF+//13TJ48GTNnzkSTJk0AAKdOncLs2bMREhKi1EDGxMREVEx6yZUrV+Dl5YX8/HzRUTTWzZs34evri4yMDDx9+hRXr16Fra0txowZg6dPn2LFihWiI2qcxMREuLq6QktLC4mJiW98LvfcEhGVTyzSiVTk7NmzKC4uRuPGjZXGT58+DW1tbXh5eQlKRoDyvucX2xJe/Ph7+bFMJuMe6A/s1UJDkiRkZmYiJCQERUVFOH78uKBk1K1bNxgbGyM8PBxVqlRRdA8/cuQIvvjiC6SmpoqOqHG0tLSQlZUFCwsLaGlpQSaToaxf5fizjKhsGRkZb5yvU6fOB0pC9Hpc7k6kIiNHjsTkyZNLFel37tzBd999h9OnTwtKRgAQHR0tOgK9xkcffVRmodGkSROsXr1aUCoCgGPHjuHEiRPQ09NTGre2tsadO3cEpdJs169fR9WqVRWfE9HfY21t/cYeQry4ReqARTqRily+fBmenp6lxj08PHD58mUBiehlLVq0EB2BXuPVQkNLSwtVq1ZFxYoVBSWiF4qLi8v8hfX27dswNjYWkIisrKzK/JyI3s758+eVHr9oVrpw4UJ88803glIRKWORTqQiFSpUwJ9//glbW1ul8czMTOjo8K1G9DosNNRX+/btERoaipUrVwIoWUKdn5+PoKAgdOrUSXA6+vbbb1GtWjUMGjRIaXz16tW4e/cupkyZIigZkfpyd3cvNebl5YUaNWrg+++/h7+/v4BURMq4J51IRT7//HNkZmZi+/btim7Vubm56NatGywsLLBp0ybBCYnU16FDh/DDDz8gOTkZAODs7IyxY8eibdu2gpNpttu3b6NDhw6QJAmpqanw8vJCamoqzM3NERMTAwsLC9ERNZq1tTV+/fVXfPzxx0rjp0+fRs+ePbkcnuhvSEtLg7u7OwoKCkRHIWKRTqQqd+7cgY+PD3JycuDh4QEAuHDhAqpVq4YDBw6gdu3aghMSqacff/wRY8aMwX/+8x80bdoUQEnn/aioKPzwww8YOXKk4ISaraioCBs3blQ6h7t3797Q19cXHU3jVaxYEcnJybCxsVEav3btGlxcXPDkyRNByYjUV15entLjF81KZ86ciStXruDChQtighG9hEU6kQoVFBRg3bp1SEhIgL6+PurXr4/PP/8curq6oqNpNEmScOvWLVhYWHCfsxqqVasWpk6dilGjRimNL1u2DMHBwWxQRvQaDg4OCAoKQp8+fZTG165di6CgIFy7dk1QMiL19eJUhJdJkoTatWtjw4YNiovFRCJxoyyRChkaGmLo0KGiY9ArJEmCvb09Ll26BAcHB9Fx6BW5ubnw9fUtNd6+fXvuqSV6gy+++AJjx47F8+fP0bp1awAlW0cmT56MCRMmCE5HpJ5ePe3lRbNSe3t79hAitcH/E4lUJDIyEubm5vDz8wMATJ48GStXroSLiwvWr1/P5lgCaWlpwcHBATk5OSzS1VCXLl2wdetWTJo0SWl8+/bt+OSTTwSlIlJ/kyZNQk5ODr788ks8e/YMQMkS+ClTpuCrr74SnI5IPfG0FyoPuNydSEUcHR2xfPlytG7dGidPnkSbNm0QGhqKXbt2QUdHB1u2bBEdUaPt3LkT8+bNw/Lly+Hq6io6jsZbvHix4vO8vDzMnz8f3t7eSnvSY2NjMWHCBEyfPl1UTKJyIT8/H8nJydDX14eDgwMqVKggOhKRWktNTUV0dDSys7NRXFysNDdjxgxBqYj+wiKdSEUMDAxw5coV1KlTB1OmTEFmZiZ+/vlnXLp0CS1btsTdu3dFR9RolSpVQmFhIYqKiqCnp1eq6dX9+/cFJdNMrza6eh2ZTMZ9tYLI5XLExsaifv36MDMzEx2H3kJeXh4OHz4MR0dHODs7i45DpJZWrVqFESNGwNzcHNWrV1fany6TyRAfHy8wHVEJLncnUhEjIyPk5OSgTp062L9/P8aPHw+gZOnh48ePBaej0NBQ0RHoJTwaSv1pa2ujffv2SE5OZpGupnr06AEfHx+MGjUKjx8/hpeXF27cuAFJkrBhwwYEBASIjkikdubOnYtvvvmGPU9IrbFIJ1KRdu3aYciQIfDw8MDVq1fRqVMnAMClS5dgbW0tNhyhf//+oiMQlTuurq64du3aW698oA8rJiYG06ZNAwBs3boVkiQhNzcXkZGRmDt3Lot0ojI8ePAA3bt3Fx2D6I20RAcg+rdYtmwZmjZtirt372Lz5s2oUqUKACAuLg6ff/654HQElCzf3bx5M+bOnYu5c+di69atkMvlomMRqa25c+di4sSJ2LVrFzIzM5GXl6f0QWI9fPgQlStXBgDs3bsXAQEBMDAwgJ+fH1JTUwWnI1JP3bt3x/79+0XHIHoj7kknIo2QlpaGTp064c6dO3B0dAQApKSkoHbt2ti9ezfs7OwEJyRSP1paf13Lf3nfpiRJkMlkvMglWN26dTF37lz4+fnBxsYGGzZsQOvWrZGQkIA2bdrg3r17oiMSqYWXm5UWFBRg4cKF8PPzg5ubG3R1dZWeGxgY+KHjEZXCIp2INEKnTp0gSRLWrVunuPOUk5ODPn36QEtLC7t37xackEj9HD169I3zPMpIrB9//BFjxoyBkZERrKysEB8fDy0tLSxZsgRbtmwpdR40kaZis1Iqb1ikE5FGMDQ0xKlTp+Dm5qY0npCQAG9vb+Tn5wtKRm+SlJTEI/OI3iAuLg4ZGRlo164djIyMAAC7d++GmZkZvL29BacjIqJ3wT3pRKQRKlSogEePHpUaz8/Ph56enoBE9DqPHj3CypUr0ahRI7i7u4uOo/GOHTuGPn364OOPP8adO3cAAGvXrsXx48cFJyMAaNCgAT799FNFgQ4Afn5+LNCJiMoxFulEKiBJEjIyMvDkyRPRUeg1PvnkEwwdOhSnT5+GJEmQJAmnTp3C8OHD0aVLF9HxCCWdqvv37w9LS0vMnz8frVu3xqlTp0TH0mibN29Ghw4doK+vj/j4eDx9+hRAScOy4OBgwemIiIj+nVikE6mAJEmwt7fHrVu3REeh11i8eDHs7OzQtGlTVKxYERUrVoS3tzfs7e2xaNEi0fE0VlZWFkJCQuDg4IDu3bvDxMQET58+xbZt2xASEoKGDRuKjqjR5s6dixUrVmDVqlVKzZW8vb0RHx8vMBkREdG/F89JJ1IBLS0tODg4ICcnBw4ODqLjUBnMzMywfft2pKWlITk5GQDg7OwMe3t7wck0V+fOnRETEwM/Pz+EhobC19cX2traWLFiheho9P9SUlLg4+NTatzU1BS5ubkfPhAREZEGYJFOpCIhISGYNGkSli9fzkZXasze3p6FuZrYs2cPAgMDMWLECF7cUlPVq1dHWloarK2tlcaPHz8OW1tbMaGIiP4hbFZK6oJFOpGK9OvXD4WFhXB3d4eenh709fWV5u/fvy8oGZF6On78OMLDw9GgQQM4Ozujb9++6Nmzp+hY9JIvvvgCY8aMwerVqyGTyfDHH3/g5MmTmDhxIr7++mvR8TRSYmLiWz+3fv36/2ASon+HR48eYf369QgLC0NcXBzkcrnoSEQ8go1IVSIjI984379//w+UhKh8KSgowMaNG7F69WqcOXMGcrkcCxcuxKBBg2BsbCw6nkaTJAnBwcH49ttvUVhYCKDkpISJEydizpw5gtNpJi0tLchkMrzu17cXczKZjMUG0RvExMQgPDwcmzdvRo0aNeDv74+AgAD2QiG1wCKdiIjURkpKCsLDw7F27Vrk5uaiXbt22LFjh+hYGu/Zs2dIS0tDfn4+XFxclI77og/r5s2bb/1cKyurfzAJUfmTlZWFiIgIhIeHIy8vDz169MCKFSuQkJAAFxcX0fGIFFikE6lQeno61qxZg/T0dCxatAgWFhbYs2cP6tSpg3r16omOR1RuyOVy7Ny5E6tXr2aRTkRE7+3lZqW9e/dWNCvV1dVlkU5qh0U6kYocPXoUHTt2hLe3N2JiYpCcnAxbW1uEhITg3LlziIqKEh1Ro+3duxdGRkZo1qwZAGDZsmVYtWoVXFxcsGzZMlSqVElwQiL1U1BQgJCQEBw6dAjZ2dkoLi5Wmr927ZqgZPSyy5cvIyMjA8+ePVMa79Kli6BEROpHR0enzGalLNJJHbFxHJGKTJ06FXPnzsX48eOV9tG2bt0aS5cuFZiMAGDSpEn47rvvAAAXL17EhAkTMH78eERHR2P8+PFYs2aN4IRE6mfIkCE4evQo+vbtC0tLS8hkMtGR6CXXrl3Dp59+iosXLyrtU3/xfeKedKK/sFkplSe8k06kIkZGRrh48SJsbGxgbGyMhIQE2Nra4saNG3BycsKTJ09ER9RoRkZGSEpKgrW1NWbOnImkpCRERUUhPj4enTp1QlZWluiIRGrHzMwMu3fvhre3t+goVIbOnTtDW1sbYWFhsLGxwZkzZ5CTk4MJEyZg/vz5aN68ueiIRGqHzUqpPNASHYDo38LMzAyZmZmlxs+fP4+aNWsKSEQv09PTU3SnPnjwINq3bw8AqFy5MvLy8kRGI1JblSpVQuXKlUXHoNc4efIkZs+eDXNzc2hpaUFLSwvNmjXDt99+i8DAQNHxiNSSoaEhBg0ahOPHjytW1oWEhMDCwoJbREhtsEgnUpGePXtiypQpyMrKgkwmQ3FxMWJjYzFx4kT069dPdDyN16xZM4wfPx5z5szBmTNn4OfnBwC4evUqatWqJTgdkXqaM2cOZsyYobjARepFLpcr7vyZm5vjjz/+AFDS1T0lJUVkNKJywdHREfPmzcPt27exfv160XGIFLjcnUhFnj17hpEjRyIiIgJyuRw6OjqQy+Xo1asXIiIioK2tLTqiRsvIyMCXX36JW7duITAwEIMHDwYAjBs3DnK5HIsXLxackEg9eHh4KO09T0tLgyRJsLa2hq6urtJz4+PjP3Q8eknz5s0xYcIEdOvWDb169cKDBw8wffp0rFy5EnFxcUhKShIdkYiI3gGLdCIVu3XrFi5evIj8/Hx4eHgodRAlIlJ3s2bNeuvnBgUF/YNJ6H/Zt28fCgoK4O/vj7S0NHzyySe4evUqqlSpgo0bN6J169aiIxIR0TtgkU6kIrNnz8bEiRNhYGCgNP748WN8//33mDFjhqBkBADa2trIzMyEhYWF0nhOTg4sLCzYBZmI/hXu37+PSpUqsRM/EVE5xj3pRCoya9Ys5OfnlxovLCz8W3em6J/xuuuRT58+hZ6e3gdOQ1Q+2NraIicnp9R4bm4ubG1tBSSi/6Vy5cos0ImIyjmek06kIpIklfmLUUJCArsjC/Rir7lMJkNYWBiMjIwUc3K5HDExMXBychIVj0it3bhxo8xVJk+fPsXt27cFJCJ/f39ERETAxMQE/v7+b3zuli1bPlAqIiJSJRbpRO/pxbJCmUyGunXrKhXqcrkc+fn5GD58uMCEmu2HH34AUHIRZcWKFUoN/PT09GBtbY0VK1aIikeklnbs2KH4fN++fTA1NVU8lsvlOHToEGxsbERE03impqaKf2de/r4QEdG/B/ekE72nyMhISJKEQYMGITQ0VOmXphdFYNOmTQUmJABo1aoVtm7dCjMzM9FRiNSellbJbjiZTFZqq4iuri6sra2xYMECfPLJJyLiERER/avxTjrRe+rfvz8AwMbGBh9//HGpI4pIvOfPnyMjIwOZmZks0oneQnFxMYCSn2tnz56Fubm54ERUluvXr6OoqKjUKSKpqamKiylERFT+sEgnUhEbGxtkZma+dr5OnTofMA29TFdXF0+ePBEdg6jcuX79uugI9AYDBgzAoEGDShXpp0+fRlhYGI4cOSImGBERvRcudydSES0trTd21OURX2IFBwfj6tWrCAsLg44Or08Sva2jR49i/vz5SE5OBgC4uLhg0qRJaN68ueBkZGJigvj4eNjb2yuNp6WlwcvLC7m5uWKCERHRe+FvqkQqcv78eaXHz58/x/nz57Fw4UJ88803glLRC2fPnsWhQ4ewf/9+uLm5wdDQUGmeXZCJSvvll18wcOBA+Pv7IzAwEAAQGxuLNm3aICIiAr169RKcULPJZDI8evSo1PjDhw95YZiIqBzjnXSif9ju3bvx/fffc9mhYAMHDnzj/Jo1az5QEqLyw9nZGUOHDsW4ceOUxhcuXIhVq1Yp7q6TGJ07d4a+vj7Wr1+vOLlCLpfjs88+Q0FBAfbs2SM4IRERvQsW6UT/sLS0NLi7u6OgoEB0FCKiv6VChQq4dOlSmcupXV1d2etBsMuXL8PHxwdmZmaK7QfHjh1DXl4eDh8+DFdXV8EJiYjoXWiJDkD0b5GXl6f08fDhQ1y5cgXTp08v1dSHiKg8qF27Ng4dOlRq/ODBg6hdu7aARPQyFxcXJCYmokePHsjOzsajR4/Qr18/XLlyhQU6EVE5xj3pRCpiZmZWqnGcJEmoXbs2NmzYICgVvSwqKgqbNm1CRkYGnj17pjQXHx8vKBWR+powYQICAwNx4cIFfPzxxwBK9qRHRERg0aJFgtMRANSoUQPBwcGiYxARkQqxSCdSkejoaKXHWlpaqFq1Kuzt7dlNXA0sXrwY06ZNw4ABA7B9+3YMHDgQ6enpOHv2LEaOHCk6HpFaGjFiBKpXr44FCxZg06ZNAEr2qW/cuBFdu3YVnI4AIDc3F+Hh4Yr+APXq1cOgQYNgamoqOBkREb0r7kknIo3g5OSEoKAgfP755zA2NkZCQgJsbW0xY8YM3L9/H0uXLhUdkYjobzl37hw6dOgAfX19NGrUCEDJSRaPHz/G/v374enpKTghERG9CxbpRCqUkpKCJUuWKO5oODs7Y9SoUXBychKcjAwMDJCcnAwrKytYWFjgwIEDcHd3R2pqKpo0aYKcnBzREYnU1rNnz5CdnY3i4mKl8Tp16ghKRADQvHlz2NvbY9WqVYoVW0VFRRgyZAiuXbuGmJgYwQmJiOhdsHEckYps3rwZrq6uiIuLg7u7O9zd3REfHw83Nzds3rxZdDyNV716ddy/fx9ASWFx6tQpAMD169fBa5VEZUtNTUXz5s2hr68PKysr2NjYwMbGBtbW1rCxsREdT+OdO3cOU6ZMUdpSpaOjg8mTJ+PcuXMCkxER0fvgRlkiFZk8eTK++uorzJ49W2k8KCgIkydPRkBAgKBkBACtW7fGjh074OHhgYEDB2LcuHGIiorCuXPn4O/vLzoekVoaMGAAdHR0sGvXLlhaWpZqjklimZiYICMjo9RqrVu3bsHY2FhQKiIiel9c7k6kIgYGBkhMTCx1nnBqairc3d1RWFgoKBkBQHFxMYqLixV3nDZs2IATJ07AwcEBw4YNg56enuCEROrH0NAQcXFx3LKjpgIDA7F161bMnz9fqfv+pEmTEBAQgNDQULEBiYjonfBOOpGKtGzZEseOHStVpB8/fhzNmzcXlIpe0NLSgpbWXzt8evbsiZ49ewpMRKT+XFxccO/ePdEx6DXmz58PmUyGfv36oaioCACgq6uLESNGICQkRHA6IiJ6V7yTTqQiK1aswIwZM9CjRw80adIEAHDq1Cn89ttvmDVrFmrUqKF4bpcuXUTFJCJ6a4cPH8b06dMRHBwMNzc36OrqKs2bmJgISkYvKywsRHp6OgDAzs4OBgYGghMREdH7YJFOpCIv36V9E5lMBrlc/g+nISJ6fy9+rr26F12SJP4sU0N5eXk4fPgwHB0d4ezsLDoOERG9Iy53J1KRV48mIiIq76Kjo0VHoDfo0aMHfHx8MGrUKDx+/BheXl64ceMGJEnChg0b2LCUiKicYpFOREREZWrRosVr55KSkj5gEipLTEwMpk2bBgDYunUrJElCbm4uIiMjMXfuXBbpRETlFIt0IhU6e/YsoqOjkZ2dXerO+sKFCwWloheKiopw5MgRpKeno1evXjA2NsYff/wBExMTGBkZiY5HpPYePXqE9evXIywsDHFxcVzuLtjDhw9RuXJlAMDevXsREBAAAwMD+Pn5YdKkSYLTERHRu2KRTqQiwcHBmD59OhwdHVGtWjWlPZw8W1i8mzdvwtfXFxkZGXj69CnatWsHY2NjfPfdd3j69ClWrFghOiKR2oqJiUF4eDg2b96MGjVqwN/fH8uWLRMdS+PVrl0bJ0+eROXKlbF3715s2LABAPDgwQNUrFhRcDoiInpXLNKJVGTRokVYvXo1BgwYIDoKlWHMmDHw8vJCQkICqlSpohj/9NNP8cUXXwhMRqSesrKyEBERgfDwcOTl5aFHjx54+vQptm3bBhcXF9HxCMDYsWPRu3dvGBkZwcrKCi1btgRQclHFzc1NbDgiInpnLNKJVERLSwve3t6iY9BrHDt2DCdOnICenp7SuLW1Ne7cuSMoFZF66ty5M2JiYuDn54fQ0FD4+vpCW1ubK07UzJdffonGjRsjIyMD7dq1U3Tjt7W1xdy5cwWnIyKid8UinUhFxo0bh2XLliE0NFR0FCpDcXFxmftnb9++DWNjYwGJiNTXnj17EBgYiBEjRsDBwUF0HHqDBg0aoEGDBkpjfn5+gtIQEZEqsEgnUpGJEyfCz88PdnZ2cHFxga6urtL8li1bBCUjAGjfvj1CQ0OxcuVKACV9AvLz8xEUFIROnToJTkekXo4fP47w8HA0aNAAzs7O6Nu3L3r27Ck6FhERkUaQSZIkiQ5B9G8watQohIWFoVWrVqUaxwHAmjVrBCUjoOSOeYcOHSBJElJTU+Hl5YXU1FSYm5sjJiYGFhYWoiMSqZ2CggJs3LgRq1evxpkzZyCXy7Fw4UIMGjSIK1CIiIj+ISzSiVTE2NgYGzZs4DJDNVZUVIQNGzYgMTER+fn58PT0RO/evaGvry86GpHaS0lJQXh4ONauXYvc3Fy0a9cOO3bsEB2LiIjoX4dFOpGKWFlZYd++fXBychIdhYjoHyOXy7Fz506sXr2aRboaS0pKgqurq+gYRET0DlikE6nImjVrsHfvXqxZswYGBgai41AZUlNTER0djezsbBQXFyvNzZgxQ1AqIiLVePToEdavX4+wsDDExcWV2SyTiIjUH4t0IhXx8PBAeno6JEmCtbV1qcZx8fHxgpIRAKxatQojRoyAubk5qlevrtQzQCaT8ftDROVWTEwMwsPDsXnzZtSoUQP+/v4ICAhAw4YNRUcjIqJ3wO7uRCrSrVs30RHoDebOnYtvvvkGU6ZMER2FiOi9ZWVlISIiAuHh4cjLy0OPHj3w9OlTbNu2DS4uLqLjERHRe+CddCLSCCYmJrhw4QJsbW1FRyEiei+dO3dGTEwM/Pz80Lt3b/j6+kJbWxu6urpISEhgkU5EVM7xTjqRisXFxSE5ORkAUK9ePXh4eAhORADQvXt37N+/H8OHDxcdhYjovezZsweBgYEYMWIEHBwcRMchIiIVY5FOpCLZ2dno2bMnjhw5AjMzMwBAbm4uWrVqhQ0bNqBq1apiA2o4e3t7fP311zh16hTc3NxK9QwIDAwUlIyI6O85fvw4wsPD0aBBAzg7O6Nv377o2bOn6FhERKQiXO5OpCKfffYZrl27hp9//hnOzs4AgMuXL6N///6wt7fH+vXrBSfUbDY2Nq+dk8lkuHbt2gdMQ0T0/goKCrBx40asXr0aZ86cgVwux8KFCzFo0CAYGxuLjkdERO+IRTqRipiamuLgwYOluumeOXMG7du3R25urphgRET0r5eSkoLw8HCsXbsWubm5aNeuHc+xJyIqp7REByD6tyguLi61hBoAdHV1S53JTUREpEqOjo6YN28ebt++zZVbRETlHO+kE6lI165dkZubi/Xr16NGjRoAgDt37qB3796oVKkStm7dKjih5hk/fjzmzJkDQ0NDjB8//o3PXbhw4QdKRURERET0emwcR6QiS5cuRZcuXWBtbY3atWsDAG7dugVXV1f88ssvgtNppvPnz+P58+eKz19HJpN9qEhERERERG/EO+lEKiRJEg4ePIgrV64AAJydndG2bVvBqTTbtWvXYGNjw0KciIiIiMoFFulE9K+mra2NzMxMWFhYACjpwr948WJUq1ZNcDIiIiIiotLYOI7oPR0+fBguLi7Iy8srNffw4UPUq1cPx44dE5CMgJLVDS/7/fffUVBQICgNEREREdGbsUgnek+hoaH44osvYGJiUmrO1NQUw4YNY1MyIiIiIiJ6KyzSid5TQkICfH19Xzvfvn17xMXFfcBE9DKZTFZqPzr3pxMRERGRumJ3d6L39Oeff5Z5PvoLOjo6uHv37gdMRC+TJAkDBgxAhQoVAABPnjzB8OHDYWhoqPS8LVu2iIhHRERERKSERTrRe6pZsyaSkpJgb29f5nxiYiIsLS0/cCp6oX///kqP+/TpIygJEREREdH/xu7uRO9p9OjROHLkCM6ePYuKFSsqzT1+/BiNGjVCq1atsHjxYkEJiYiIiIiovGCRTvSe/vzzT3h6ekJbWxujRo2Co6MjAODKlStYtmwZ5HI54uPjeeQXERERERH9TyzSiVTg5s2bGDFiBPbt26c48ksmk6FDhw5YtmwZbGxsBCckIiIiIqLygEU6kQo9ePAAaWlpkCQJDg4OqFSpkuhIRERERERUjrBIJyIiIiIiIlITPCediIiIiIiISE2wSCciIiIiIiJSEyzSiYiIiIiIiNQEi3QiIiIiIiIiNcEinYiIqByxtrZGaGio6Bh/W8uWLTF27Nh/7PVv3LgBmUyGCxcu/GN/BxER0YfAIp2IiEjFXleQRkREwMzM7IPnUUctW7aETCZDSEhIqTk/Pz/IZDLMnDnzrV+vdu3ayMzMhKurqwpTEhERfXgs0omIiDTIs2fP3vnPPn/+XIVJSgrriIgIpbE7d+7g0KFDsLS0/Fuvpa2tjerVq0NHR+ed87zP14aIiEhVWKQTEREJMGDAAHTr1g3z58+HpaUlqlSpgpEjRyoVwtnZ2ejcuTP09fVhY2ODdevWlXqd3NxcDBkyBFWrVoWJiQlat26NhIQExfzMmTPx0UcfISwsDDY2NqhYsSIA4MqVK2jWrBkqVqwIFxcXHDx4EDKZDNu2bQPw1/LxjRs3okWLFqhYsSLWrVuHnJwcfP7556hZsyYMDAzg5uaG9evXK2UqKChAv379YGRkBEtLSyxYsKDMr8Enn3yCe/fuITY2VjEWGRmJ9u3bw8LCQum5a9euhZeXF4yNjVG9enX06tUL2dnZivmylrsfPXoUjRo1QoUKFWBpaYmpU6eiqKhIMd+yZUuMGjUKY8eOhbm5OTp06PC6bxcREdEHwyKdiIhIkOjoaKSnpyM6OhqRkZGIiIhQurM8YMAA3Lp1C9HR0YiKisKPP/6oVJgCQPfu3ZGdnY09e/YgLi4Onp6eaNOmDe7fv694TlpaGjZv3owtW7bgwoULkMvl6NatGwwMDHD69GmsXLkS06ZNKzPj1KlTMWbMGCQnJ6NDhw548uQJGjRogN27dyMpKQlDhw5F3759cebMGcWfmTRpEo4ePYrt27dj//79OHLkCOLj40u9tp6eHnr37o01a9YoxiIiIjBo0KBSz33+/DnmzJmDhIQEbNu2DTdu3MCAAQNe+7W9c+cOOnXqhIYNGyIhIQHLly9HeHg45s6dq/S8yMhI6OnpITY2FitWrHjt6xEREX0wEhEREalUixYtpDFjxpQaX7NmjWRqaipJkiT1799fsrKykoqKihTz3bt3lz777DNJkiQpJSVFAiCdOXNGMZ+cnCwBkH744QdJkiTp2LFjkomJifTkyROlv8fOzk766aefJEmSpKCgIElXV1fKzs5WzO/Zs0fS0dGRMjMzFWMHDhyQAEhbt26VJEmSrl+/LgGQQkND/+d/r5+fnzRhwgRJkiTp0aNHkp6enrRp0ybFfE5OjqSvr6/0NXnxNbpw4YJkbGws5efnS0ePHpUsLCyk58+fS+7u7lJQUNBr/86zZ89KAKRHjx4p5T1//rwkSZL03//+V3J0dJSKi4sVf2bZsmWSkZGRJJfLFRk8PDz+538fERHRh/TuG7eIiIjovdSrVw/a2tqKx5aWlrh48SIAIDk5GTo6OmjQoIFi3snJSanxXEJCAvLz81GlShWl1338+DHS09MVj62srFC1alXF45SUFNSuXRvVq1dXjDVq1KjMjF5eXkqP5XI5goODsWnTJty5cwfPnj3D06dPYWBgAABIT0/Hs2fP0LhxY8WfqVy5MhwdHct8fXd3dzg4OCAqKgrR0dHo27dvmfvK4+LiMHPmTCQkJODBgwcoLi4GAGRkZMDFxaXU85OTk9G0aVPIZDLFmLe3N/Lz83H79m3UqVMHAJS+vkREROqARToREZGKmZiY4OHDh6XGc3NzYWpqqnisq6urNC+TyRTF59vIz8+HpaUljhw5Umru5WLe0NDwrV/zVa/+2e+//x6LFi1CaGgo3NzcYGhoiLFjx75X07VBgwZh2bJluHz5stKy+RcKCgrQoUMHdOjQAevWrUPVqlWRkZGBDh06vHezt/f52hAREf0TuCediIhIxRwdHcvcgx0fH4+6deu+1Ws4OTmhqKgIcXFxirGUlBTk5uYqHnt6eiIrKws6Ojqwt7dX+jA3N39jvlu3buHPP/9UjJ09e/atcsXGxqJr167o06cP3N3dYWtri6tXryrm7ezsoKuri9OnTyvGHjx4oPScV/Xq1QsXL16Eq6trmXfFr1y5gpycHISEhKB58+ZwcnIqtTf/Vc7Ozjh58iQkSVLKbmxsjFq1ar3VfysREZEILNKJiIhUbMSIEbh69SoCAwORmJiIlJQULFy4EOvXr8eECRPe6jUcHR3h6+uLYcOG4fTp04iLi8OQIUOgr6+veE7btm3RtGlTdOvWDfv378eNGzdw4sQJTJs2DefOnXvta7dr1w52dnbo378/EhMTERsbi+nTpwOA0vLwsjg4OODAgQM4ceIEkpOTMWzYMKVi38jICIMHD8akSZNw+PBhJCUlYcCAAdDSev2vHJUqVUJmZiYOHTpU5nydOnWgp6eHJUuW4Nq1a9ixYwfmzJnzxpxffvklbt26hdGjR+PKlSvYvn07goKCMH78+DdmISIiEo3/ShEREamYra0tYmJicOXKFbRt2xaNGzfGpk2b8Ntvv8HX1/etX2fNmjWoUaMGWrRoAX9/fwwdOlTpaDKZTIbff/8dPj4+GDhwIOrWrYuePXvi5s2bqFat2mtfV1tbG9u2bUN+fj4aNmyIIUOGKLq7vzii7XWmT58OT09PdOjQAS1btkT16tXRrVs3ped8//33aN68OTp37oy2bduiWbNm/3Pvt5mZ2WuXnletWhURERH47bff4OLigpCQEMyfP/+Nr1ezZk38/vvvOHPmDNzd3TF8+HAMHjxYcTGCiIhIXcmkl9eBERERkUaKjY1Fs2bNkJaWBjs7O9Fx/raUlBQ4OTkhNTUV9vb2ouMQERG9MzaOIyIi0kBbt26FkZERHBwckJaWhjFjxsDb27tcFuj3799HVFQUTExMULt2bdFxiIiI3guLdCIiIg306NEjTJkyBRkZGTA3N0fbtm2xYMEC0bHeyeDBgxEXF4fly5ejQoUKouMQERG9Fy53JyIiIiIiIlITbBxHREREREREpCZYpBMRERERERGpCRbpRERERERERGqCRToRERERERGRmmCRTkRERERERKQmWKQTERERERERqQkW6URERERERERqgkU6ERERERERkZr4P29IoEEkoW4bAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(12, 6))\n", - "sns.boxplot(x='UndergradMajor', y='NetSalary', data=df2)\n", - "plt.xticks(rotation=90)\n", - "plt.title('NetSalary by UndergradMajor')\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Performing Two-Way ANOVA\n", - "\n", - "To examine the combined effect of FormalEducation and UndergradMajor on NetSalary" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " sum_sq df F \\\n", - "C(FormalEducation) NaN 2.0 NaN \n", - "C(UndergradMajor) 4.055982e+13 8.0 62.790226 \n", - "C(FormalEducation):C(UndergradMajor) 2.777680e+12 16.0 2.150049 \n", - "Residual 1.776383e+12 22.0 NaN \n", - "\n", - " PR(>F) \n", - "C(FormalEducation) NaN \n", - "C(UndergradMajor) 8.078530e-10 \n", - "C(FormalEducation):C(UndergradMajor) 8.046444e-02 \n", - "Residual NaN \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\statsmodels\\base\\model.py:1894: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 2, but rank is 0\n", - " warnings.warn('covariance of constraints does not have full '\n", - "c:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\statsmodels\\base\\model.py:1923: RuntimeWarning: invalid value encountered in divide\n", - " F /= J\n", - "c:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\statsmodels\\base\\model.py:1894: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 8, but rank is 2\n", - " warnings.warn('covariance of constraints does not have full '\n", - "c:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\statsmodels\\base\\model.py:1894: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 16, but rank is 7\n", - " warnings.warn('covariance of constraints does not have full '\n" - ] - } - ], - "source": [ - "import statsmodels.api as sm\n", - "from statsmodels.formula.api import ols\n", - "from statsmodels.stats.anova import anova_lm\n", - "\n", - "# Define the model\n", - "model = ols('NetSalary ~ C(FormalEducation) * C(UndergradMajor)', data=df_filtered).fit()\n", - "\n", - "# Perform ANOVA\n", - "anova_results = anova_lm(model, typ=2)\n", - "print(anova_results)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Temp\\ipykernel_2732\\4017900835.py:5: FutureWarning: \n", - "\n", - "The `errwidth` parameter is deprecated. And will be removed in v0.15.0. Pass `err_kws={'linewidth': 1}` instead.\n", - "\n", - " sns.pointplot(data=df_filtered, x='FormalEducation', y='NetSalary', hue='UndergradMajor', dodge=True, markers=[\"o\", \"s\", \"D\", \"^\", \"v\", \"p\", \"h\", \"*\", \"P\"], capsize=.1, errwidth=1, palette=\"colorblind\")\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "plt.figure(figsize=(12, 8))\n", - "sns.pointplot(data=df_filtered, x='FormalEducation', y='NetSalary', hue='UndergradMajor', dodge=True, markers=[\"o\", \"s\", \"D\", \"^\", \"v\", \"p\", \"h\", \"*\", \"P\"], capsize=.1, errwidth=1, palette=\"colorblind\")\n", - "plt.xticks(rotation=90)\n", - "plt.title('Interaction between FormalEducation and UndergradMajor on NetSalary')\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "YearsCodingProf\n", - "3-5 years 26\n", - "0-2 years 22\n", - "6-8 years 12\n", - "9-11 years 9\n", - "12-14 years 6\n", - "18-20 years 3\n", - "21-23 years 3\n", - "24-26 years 2\n", - "15-17 years 1\n", - "Name: count, dtype: int64" - ] - }, - "execution_count": 73, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df['YearsCodingProf'].value_counts()" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "Could not interpret value `AvgSalary` for `y`. An entry with this name does not appear in `data`.", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[76], line 18\u001b[0m\n\u001b[0;32m 16\u001b[0m \u001b[38;5;66;03m# Scatter plot\u001b[39;00m\n\u001b[0;32m 17\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m10\u001b[39m, \u001b[38;5;241m6\u001b[39m))\n\u001b[1;32m---> 18\u001b[0m \u001b[43msns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mscatterplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mExperienceOrdinal\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mAvgSalary\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdf\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 19\u001b[0m plt\u001b[38;5;241m.\u001b[39mxticks(ticks\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39marange(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m10\u001b[39m), labels\u001b[38;5;241m=\u001b[39mexperience_mapping\u001b[38;5;241m.\u001b[39mkeys(), rotation\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m45\u001b[39m)\n\u001b[0;32m 20\u001b[0m plt\u001b[38;5;241m.\u001b[39mxlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mYears of Coding Experience\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", - "File \u001b[1;32mc:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\relational.py:615\u001b[0m, in \u001b[0;36mscatterplot\u001b[1;34m(data, x, y, hue, size, style, palette, hue_order, hue_norm, sizes, size_order, size_norm, markers, style_order, legend, ax, **kwargs)\u001b[0m\n\u001b[0;32m 606\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mscatterplot\u001b[39m(\n\u001b[0;32m 607\u001b[0m data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m,\n\u001b[0;32m 608\u001b[0m x\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, y\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, hue\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, size\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, style\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 612\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[0;32m 613\u001b[0m ):\n\u001b[1;32m--> 615\u001b[0m p \u001b[38;5;241m=\u001b[39m \u001b[43m_ScatterPlotter\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 616\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 617\u001b[0m \u001b[43m \u001b[49m\u001b[43mvariables\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mdict\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhue\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhue\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msize\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstyle\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstyle\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 618\u001b[0m \u001b[43m \u001b[49m\u001b[43mlegend\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlegend\u001b[49m\n\u001b[0;32m 619\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 621\u001b[0m p\u001b[38;5;241m.\u001b[39mmap_hue(palette\u001b[38;5;241m=\u001b[39mpalette, order\u001b[38;5;241m=\u001b[39mhue_order, norm\u001b[38;5;241m=\u001b[39mhue_norm)\n\u001b[0;32m 622\u001b[0m p\u001b[38;5;241m.\u001b[39mmap_size(sizes\u001b[38;5;241m=\u001b[39msizes, order\u001b[38;5;241m=\u001b[39msize_order, norm\u001b[38;5;241m=\u001b[39msize_norm)\n", - "File \u001b[1;32mc:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\relational.py:396\u001b[0m, in \u001b[0;36m_ScatterPlotter.__init__\u001b[1;34m(self, data, variables, legend)\u001b[0m\n\u001b[0;32m 387\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, variables\u001b[38;5;241m=\u001b[39m{}, legend\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m 388\u001b[0m \n\u001b[0;32m 389\u001b[0m \u001b[38;5;66;03m# TODO this is messy, we want the mapping to be agnostic about\u001b[39;00m\n\u001b[0;32m 390\u001b[0m \u001b[38;5;66;03m# the kind of plot to draw, but for the time being we need to set\u001b[39;00m\n\u001b[0;32m 391\u001b[0m \u001b[38;5;66;03m# this information so the SizeMapping can use it\u001b[39;00m\n\u001b[0;32m 392\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_default_size_range \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m 393\u001b[0m np\u001b[38;5;241m.\u001b[39mr_[\u001b[38;5;241m.5\u001b[39m, \u001b[38;5;241m2\u001b[39m] \u001b[38;5;241m*\u001b[39m np\u001b[38;5;241m.\u001b[39msquare(mpl\u001b[38;5;241m.\u001b[39mrcParams[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlines.markersize\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[0;32m 394\u001b[0m )\n\u001b[1;32m--> 396\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvariables\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvariables\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 398\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlegend \u001b[38;5;241m=\u001b[39m legend\n", - "File \u001b[1;32mc:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\_base.py:634\u001b[0m, in \u001b[0;36mVectorPlotter.__init__\u001b[1;34m(self, data, variables)\u001b[0m\n\u001b[0;32m 629\u001b[0m \u001b[38;5;66;03m# var_ordered is relevant only for categorical axis variables, and may\u001b[39;00m\n\u001b[0;32m 630\u001b[0m \u001b[38;5;66;03m# be better handled by an internal axis information object that tracks\u001b[39;00m\n\u001b[0;32m 631\u001b[0m \u001b[38;5;66;03m# such information and is set up by the scale_* methods. The analogous\u001b[39;00m\n\u001b[0;32m 632\u001b[0m \u001b[38;5;66;03m# information for numeric axes would be information about log scales.\u001b[39;00m\n\u001b[0;32m 633\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_var_ordered \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;28;01mFalse\u001b[39;00m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;28;01mFalse\u001b[39;00m} \u001b[38;5;66;03m# alt., used DefaultDict\u001b[39;00m\n\u001b[1;32m--> 634\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massign_variables\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvariables\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 636\u001b[0m \u001b[38;5;66;03m# TODO Lots of tests assume that these are called to initialize the\u001b[39;00m\n\u001b[0;32m 637\u001b[0m \u001b[38;5;66;03m# mappings to default values on class initialization. I'd prefer to\u001b[39;00m\n\u001b[0;32m 638\u001b[0m \u001b[38;5;66;03m# move away from that and only have a mapping when explicitly called.\u001b[39;00m\n\u001b[0;32m 639\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m var \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhue\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msize\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstyle\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n", - "File \u001b[1;32mc:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\_base.py:679\u001b[0m, in \u001b[0;36mVectorPlotter.assign_variables\u001b[1;34m(self, data, variables)\u001b[0m\n\u001b[0;32m 674\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 675\u001b[0m \u001b[38;5;66;03m# When dealing with long-form input, use the newer PlotData\u001b[39;00m\n\u001b[0;32m 676\u001b[0m \u001b[38;5;66;03m# object (internal but introduced for the objects interface)\u001b[39;00m\n\u001b[0;32m 677\u001b[0m \u001b[38;5;66;03m# to centralize / standardize data consumption logic.\u001b[39;00m\n\u001b[0;32m 678\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minput_format \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlong\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 679\u001b[0m plot_data \u001b[38;5;241m=\u001b[39m \u001b[43mPlotData\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvariables\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 680\u001b[0m frame \u001b[38;5;241m=\u001b[39m plot_data\u001b[38;5;241m.\u001b[39mframe\n\u001b[0;32m 681\u001b[0m names \u001b[38;5;241m=\u001b[39m plot_data\u001b[38;5;241m.\u001b[39mnames\n", - "File \u001b[1;32mc:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\_core\\data.py:58\u001b[0m, in \u001b[0;36mPlotData.__init__\u001b[1;34m(self, data, variables)\u001b[0m\n\u001b[0;32m 51\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\n\u001b[0;32m 52\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 53\u001b[0m data: DataSource,\n\u001b[0;32m 54\u001b[0m variables: \u001b[38;5;28mdict\u001b[39m[\u001b[38;5;28mstr\u001b[39m, VariableSpec],\n\u001b[0;32m 55\u001b[0m ):\n\u001b[0;32m 57\u001b[0m data \u001b[38;5;241m=\u001b[39m handle_data_source(data)\n\u001b[1;32m---> 58\u001b[0m frame, names, ids \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_assign_variables\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvariables\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 60\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mframe \u001b[38;5;241m=\u001b[39m frame\n\u001b[0;32m 61\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnames \u001b[38;5;241m=\u001b[39m names\n", - "File \u001b[1;32mc:\\Users\\Nidhi Satyapriya\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\_core\\data.py:232\u001b[0m, in \u001b[0;36mPlotData._assign_variables\u001b[1;34m(self, data, variables)\u001b[0m\n\u001b[0;32m 230\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 231\u001b[0m err \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAn entry with this name does not appear in `data`.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 232\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(err)\n\u001b[0;32m 234\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 235\u001b[0m \n\u001b[0;32m 236\u001b[0m \u001b[38;5;66;03m# Otherwise, assume the value somehow represents data\u001b[39;00m\n\u001b[0;32m 237\u001b[0m \n\u001b[0;32m 238\u001b[0m \u001b[38;5;66;03m# Ignore empty data structures\u001b[39;00m\n\u001b[0;32m 239\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(val, Sized) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(val) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n", - "\u001b[1;31mValueError\u001b[0m: Could not interpret value `AvgSalary` for `y`. An entry with this name does not appear in `data`." - ] - }, - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from sklearn.linear_model import LinearRegression\n", - "import matplotlib.pyplot as plt\n", - "experience_mapping = {\n", - " '0-2 years': 1,\n", - " '3-5 years': 2,\n", - " '6-8 years': 3,\n", - " '9-11 years': 4,\n", - " '12-14 years': 5,\n", - " '15-17 years': 6,\n", - " '18-20 years': 7,\n", - " '21-23 years': 8,\n", - " '24-26 years': 9\n", - "}\n", - "df['ExperienceOrdinal'] = df['YearsCodingProf'].map(experience_mapping)\n", - "\n", - "# Scatter plot\n", - "plt.figure(figsize=(10, 6))\n", - "sns.scatterplot(x='ExperienceOrdinal', y='AvgSalary', data=df)\n", - "plt.xticks(ticks=np.arange(1, 10), labels=experience_mapping.keys(), rotation=45)\n", - "plt.xlabel('Years of Coding Experience')\n", - "plt.ylabel('Average Salary')\n", - "plt.title('Scatter Plot of Salary vs. Coding Experience')\n", - "plt.show()\n", - "\n", - "# Linear regression\n", - "X = df[['ExperienceOrdinal']]\n", - "y = df['AvgSalary']\n", - "reg = LinearRegression().fit(X, y)\n", - "df['PredictedSalary'] = reg.predict(X)\n", - "\n", - "# Plot regression line\n", - "plt.figure(figsize=(10, 6))\n", - "sns.scatterplot(x='ExperienceOrdinal', y='AvgSalary', data=df)\n", - "plt.plot(df['ExperienceOrdinal'], df['PredictedSalary'], color='red', linewidth=2)\n", - "plt.xticks(ticks=np.arange(1, 10), labels=experience_mapping.keys(), rotation=45)\n", - "plt.xlabel('Years of Coding Experience')\n", - "plt.ylabel('Average Salary')\n", - "plt.title('Linear Regression: Salary vs. Coding Experience')\n", - "plt.show()\n", - "\n", - "# Correlation coefficient\n", - "correlation = df['ExperienceOrdinal'].corr(df['AvgSalary'])\n", - "print(f\"Correlation coefficient: {correlation:.2f}\")\n", - "\n", - "# Regression coefficients\n", - "print(f\"Intercept: {reg.intercept_:.2f}\")\n", - "print(f\"Coefficient: {reg.coef_[0]:.2f}\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.5" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/HigherEduVsSalary.ipynb b/backlog/HigherEduVsSalary.ipynb similarity index 99% rename from HigherEduVsSalary.ipynb rename to backlog/HigherEduVsSalary.ipynb index 9593208..a4afbd9 100644 --- a/HigherEduVsSalary.ipynb +++ b/backlog/HigherEduVsSalary.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -32,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -437,7 +437,7 @@ "[10 rows x 129 columns]" ] }, - "execution_count": 3, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -3245,7 +3245,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.5" + "version": "3.11.3" } }, "nbformat": 4,