This project involves the analysis of the Stack Overflow Developer Survey 2024 data using Python libraries such as Jupyter Notebook, NumPy, pandas, seaborn, and matplotlib. The analysis aims to uncover insights about developer demographics, programming experience, and employment trends.
- Data Cleaning: Preprocessing the survey data to handle missing values and inconsistencies.
- Exploratory Data Analysis (EDA): Visualizing key trends and distributions in the data.
- Insights & Visualizations: Highlighting significant findings using a variety of plots and charts.
- Categorical Analysis: Focusing on specific areas like demographics, programming experience, and employment-related information.
notebooks: Jupyter notebooks with step-by-step data analysis(data-loading, data-cleaning, visualization).stack-overflow-developer-survey-2024/: Contains StackOver flow survey raw CSV files.survey_Q&A_and_Inference&Conclusion/: Contains questions and answer and Inferences & conclusions drawn on the basis of analysis.images/: Contains visualizations generated from the analysis.README.md: This file, providing an overview of the project.
- Jupyter Notebook: For creating interactive and shareable documents that contain live code, equations, visualizations, and explanatory text.
- NumPy: For numerical computations.
- pandas: For data manipulation and analysis.
- seaborn: For statistical data visualization.
- matplotlib: For plotting and visualization.
- Demographics: Insights into the diversity of the survey respondents.
- Programming Experience: Analysis of programming languages, tools, and platforms used by developers.
- Employment Trends: Exploration of job roles, employment statuses, and preferences within the developer community.
- Clone the repository:
git clone https://github.com/harsh-a-parihar/stackoverflow-annual-developer-survey-analysis.git