Merge pull request #170 from coding-for-reproducible-research/typo

Proof reading for working with data in R

Author: liamjberrisford

individual_modules/section_landing_pages/working_with_data_in_R.md

@@ -5,13 +5,12 @@
 Over two sessions, learn how to use the Tidyverse to work with data in R. The Tidyverse is a collection of R packages designed to help you manipulate, clean and analyse data. This course will introduce you to the functionality of several key packages, while also discussing some of the conventions the Tidyverse uses when working with data. By the end of the course, participants should feel confident to continue using the Tidyverse to work with datasets in R.
 
 ## Course Objectives 
-On completion of this series of workshops, participants will:
-- Be able to explain what is meant by the ‘tidy’ format (a widely recognised convention for structuring data).
+- Explain what is meant by the ‘tidy’ format (a widely recognised convention for structuring data).
 - Know how to read tabular data from a file to a dataframe.
 - Be able to manipulate datasets, including creating new variables, filtering data, summarising and sorting data.
 - Know how to join multiple datasets together and reshape data.
-- Learn how to work with strings and dates (as time permits).
-- Gain hands on experience working with R notebooks for analysis.
+- Know how to work with strings and dates (as time permits).
+- Experience working with R notebooks for analysis.
 
 ## Pre-requisite Knowledge 
 This course is for participants who already have some programming experience with R. It assumes familiarity with things like: creating and setting variables, the basic data structures (dataframes, vectors, lists), using functions, running R code and viewing console output, installing R packages and using R packages in your own code. Experience with R notebooks is not required.

individual_modules/working_with_data_in_R/combining_datasets.ipynb

@@ -43,7 +43,7 @@
     "## Learning Objectives\n",
     "- Understand the purpose and methods of joining dataset in R using the `dplyr` package\n",
     "- Perform left joins to combine datasets based on common columns\n",
-    "- Handle and resolve issues that arise from repeated key during joins\n",
+    "- Handle and resolve issues that arise from repeated keys during joins\n",
     "- Recognize and avoid pitfalls related to joining on columns with double data types\n",
     "\n",
     "## Joining datasets\n",
@@ -625,7 +625,7 @@
   },
   {
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+   "execution_count": 13,
    "id": "948ebf16-e591-4b35-9dd8-ed37af0e5974",
    "metadata": {
     "editable": true,
@@ -640,13 +640,13 @@
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-       "<div id=\"RkZVJlhgSwLi\" data-shufflequestions=\"False\"\n",
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        "               data-shuffleanswers=\"True\"\n",
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        "               data-numquestions=\"1000000\"\n",
        "               data-maxwidth=\"600\"\n",
        "               style=\"border-radius: 10px; text-align: left\"> <style>\n",
-       "#RkZVJlhgSwLi {\n",
+       "#KOuRONxdPHIi {\n",
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        "   --jq-mc-button-border: #e0e0e0e0;\n",
@@ -828,7 +828,7 @@
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      "data": {
       "application/javascript": [
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+       "var questionsKOuRONxdPHIi=[\n",
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        "        \"question\": \"What is the primary purpose of joining datasets?\",\n",
        "        \"type\": \"many_choice\",\n",
@@ -856,7 +856,7 @@
        "        ]\n",
        "    },\n",
        "    {\n",
-       "        \"question\": \"In a left join, what happens to the rows in the elft dataframe that do not have matching values in the right dataframe?\",\n",
+       "        \"question\": \"In a left join, what happens to the rows in the left dataframe that do not have matching values in the right dataframe?\",\n",
        "        \"type\": \"many_choice\",\n",
        "        \"answers\": [\n",
        "            {\n",
@@ -865,7 +865,7 @@
        "                \"feedback\": \"Incorrect\"\n",
        "            },\n",
        "            {\n",
-       "                \"answer\": \"They are retained with `NA` values fo the column from the right dataframe\",\n",
+       "                \"answer\": \"They are retained with `NA` values for the column from the right dataframe\",\n",
        "                \"correct\": true,\n",
        "                \"feedback\": \"Correct\"\n",
        "            },\n",
@@ -886,7 +886,7 @@
        "        \"type\": \"many_choice\",\n",
        "        \"answers\": [\n",
        "            {\n",
-       "                \"answer\": \"They results in faster joins\",\n",
+       "                \"answer\": \"They result in faster joins\",\n",
        "                \"correct\": false,\n",
        "                \"feedback\": \"Incorrect\"\n",
        "            },\n",
@@ -1656,8 +1656,8 @@
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-       "            show_questions(questionsRkZVJlhgSwLi,  RkZVJlhgSwLi); \n",
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@@ -1666,8 +1666,8 @@
        "        {\n",
        "        // console.log(element);\n",
        "\n",
-       "        //console.log(\"RkZVJlhgSwLi\");\n",
-       "        // console.log(document.getElementById(\"RkZVJlhgSwLi\"));\n",
+       "        //console.log(\"KOuRONxdPHIi\");\n",
+       "        // console.log(document.getElementById(\"KOuRONxdPHIi\"));\n",
        "\n",
        "        try_show();\n",
        "        }\n",

individual_modules/working_with_data_in_R/introducing_tidyverse.ipynb

@@ -238,7 +238,7 @@
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@@ -253,13 +253,13 @@
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        "               data-numquestions=\"1000000\"\n",
        "               data-maxwidth=\"600\"\n",
        "               style=\"border-radius: 10px; text-align: left\"> <style>\n",
-       "#rWKmnFiiOorR {\n",
+       "#dkpwXxKWjrjN {\n",
        "   --jq-multiple-choice-bg: #6f78ffff;\n",
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        "   --jq-mc-button-border: #e0e0e0e0;\n",
@@ -441,7 +441,7 @@
     {
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        "        \"type\": \"many_choice\",\n",
@@ -1269,8 +1269,8 @@
        "           Someone more knowledgeable could make this better ;-) */\n",
        "\n",
        "        function try_show() {\n",
-       "          if(document.getElementById(\"rWKmnFiiOorR\")) {\n",
-       "            show_questions(questionsrWKmnFiiOorR,  rWKmnFiiOorR); \n",
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@@ -1279,8 +1279,8 @@
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-       "        // console.log(document.getElementById(\"rWKmnFiiOorR\"));\n",
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+       "        // console.log(document.getElementById(\"dkpwXxKWjrjN\"));\n",
        "\n",
        "        try_show();\n",
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individual_modules/working_with_data_in_R/loading_data.ipynb

@@ -310,7 +310,7 @@
   },
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@@ -325,13 +325,13 @@
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        "               data-numquestions=\"1000000\"\n",
        "               data-maxwidth=\"600\"\n",
        "               style=\"border-radius: 10px; text-align: left\"> <style>\n",
-       "#pOEYmbaqhbes {\n",
+       "#dWNwzaQGtXvW {\n",
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        "   --jq-mc-button-border: #e0e0e0e0;\n",
@@ -513,7 +513,7 @@
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-       "var questionspOEYmbaqhbes=[\n",
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        "        \"type\": \"many_choice\",\n",
@@ -555,7 +555,7 @@
        "                \"feedback\": \"Correct\"\n",
        "            },\n",
        "            {\n",
-       "                \"answer\": \"It does not require specifying data types\",\n",
+       "                \"answer\": \"It does not require users to specify data types\",\n",
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        "                \"feedback\": \"Incorrect\"\n",
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@@ -567,7 +567,7 @@
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        "    {\n",
-       "        \"question\": \"Which arguement in the `read_csv` function is used to specify the data types of column explicitly?\",\n",
+       "        \"question\": \"Which argument in the `read_csv` function is used to specify the data types of column explicitly?\",\n",
        "        \"type\": \"many_choice\",\n",
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@@ -1341,8 +1341,8 @@
        "           Someone more knowledgeable could make this better ;-) */\n",
        "\n",
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-       "            show_questions(questionspOEYmbaqhbes,  pOEYmbaqhbes); \n",
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@@ -1351,8 +1351,8 @@
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-       "        // console.log(document.getElementById(\"pOEYmbaqhbes\"));\n",
+       "        //console.log(\"dWNwzaQGtXvW\");\n",
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        "\n",
        "        try_show();\n",
        "        }\n",