Merge pull request #196 from coding-for-reproducible-research/numpy_data_download_button

Convert numeric question into multiple choice

Author: liamjberrisford

individual_modules/python_for_data_analysis/Python_Pandas.ipynb

@@ -1531,7 +1531,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 6,
    "id": "007f7a76-d99f-4f8c-a729-d26022fd6ca5",
    "metadata": {
     "editable": true,
@@ -1546,13 +1546,13 @@
     {
      "data": {
       "text/html": [
-       "<div id=\"jDekxSutJzVz\" data-shufflequestions=\"False\"\n",
+       "<div id=\"rDMoONLcdwOO\" data-shufflequestions=\"False\"\n",
        "               data-shuffleanswers=\"True\"\n",
        "               data-preserveresponses=\"false\"\n",
        "               data-numquestions=\"1000000\"\n",
        "               data-maxwidth=\"600\"\n",
        "               style=\"border-radius: 10px; text-align: left\"> <style>\n",
-       "#jDekxSutJzVz {\n",
+       "#rDMoONLcdwOO {\n",
        "   --jq-multiple-choice-bg: #6f78ffff;\n",
        "   --jq-mc-button-bg: #fafafa;\n",
        "   --jq-mc-button-border: #e0e0e0e0;\n",
@@ -1734,27 +1734,20 @@
     {
      "data": {
       "application/javascript": [
-       "var questionsjDekxSutJzVz=[\n",
+       "var questionsrDMoONLcdwOO=[\n",
        "    {\n",
        "        \"question\": \"Enter the number of rows that are within the dataframe\",\n",
-       "        \"type\": \"numeric\",\n",
-       "        \"precision\":1,\n",
+       "        \"type\": \"many_choice\",\n",
        "        \"answers\": [\n",
        "            {\n",
-       "                \"type\": \"value\",\n",
-       "                \"value\": 32832,\n",
+       "                \"answer\": \"32832\",\n",
        "                \"correct\": true,\n",
        "                \"feedback\": \"Correct.\"\n",
        "            },\n",
        "            {\n",
-       "                \"type\": \"value\",\n",
-       "                \"value\": 8,\n",
+       "                \"answer\": \"8\",\n",
        "                \"correct\": false,\n",
        "                \"feedback\": \"Thats the number of columns!\"\n",
-       "            },\n",
-       "            {\n",
-       "                \"type\": \"default\",\n",
-       "                \"feedback\": \"Thats not quite right, try again!\"\n",
        "            }\n",
        "        ]\n",
        "    }\n",
@@ -2507,8 +2500,8 @@
        "           Someone more knowledgeable could make this better ;-) */\n",
        "\n",
        "        function try_show() {\n",
-       "          if(document.getElementById(\"jDekxSutJzVz\")) {\n",
-       "            show_questions(questionsjDekxSutJzVz,  jDekxSutJzVz); \n",
+       "          if(document.getElementById(\"rDMoONLcdwOO\")) {\n",
+       "            show_questions(questionsrDMoONLcdwOO,  rDMoONLcdwOO); \n",
        "          } else {\n",
        "             setTimeout(try_show, 200);\n",
        "          }\n",
@@ -2517,8 +2510,8 @@
        "        {\n",
        "        // console.log(element);\n",
        "\n",
-       "        //console.log(\"jDekxSutJzVz\");\n",
-       "        // console.log(document.getElementById(\"jDekxSutJzVz\"));\n",
+       "        //console.log(\"rDMoONLcdwOO\");\n",
+       "        // console.log(document.getElementById(\"rDMoONLcdwOO\"));\n",
        "\n",
        "        try_show();\n",
        "        }\n",
@@ -2541,7 +2534,13 @@
    "cell_type": "code",
    "execution_count": 12,
    "id": "7d05b94e-c3da-42ef-904f-f470cb9d21c4",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -2856,7 +2855,13 @@
   {
    "cell_type": "markdown",
    "id": "535b8e63-f7c9-4295-9f07-34eb9d4c12fa",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "### Performing Analysis \n",
     "\n",
@@ -3022,7 +3027,6 @@
    "source": [
     "#### Exercise 3 - Subsetting Data\n",
     "* The analysis that was performed before was on the complete dataset. \n",
-    "* You have been given code to filter the dataset to retrieve the data that was measured in 2022.\n",
     "* Adapt the code given to get the data from 2023.\n",
     "* For the data from 2023 determine: \n",
     "    * What was the maximum air pollution seen for NO2 air pollution?\n",

individual_modules/python_for_data_analysis/questions/pandas_question_dataframe_attributes.json

@@ -1,24 +1,17 @@
 [
     {
         "question": "Enter the number of rows that are within the dataframe",
-        "type": "numeric",
-        "precision":1,
+        "type": "many_choice",
         "answers": [
             {
-                "type": "value",
-                "value": 32832,
+                "answer": "32832",
                 "correct": true,
                 "feedback": "Correct."
             },
             {
-                "type": "value",
-                "value": 8,
+                "answer": "8",
                 "correct": false,
                 "feedback": "Thats the number of columns!"
-            },
-            {
-                "type": "default",
-                "feedback": "Thats not quite right, try again!"
             }
         ]
     }

individual_modules/python_for_data_analysis/questions/summary_pandas.json

@@ -46,7 +46,7 @@
             },
             {
                 "answer": "Dictionary",
-                "correct": true,
+                "correct": false,
                 "feedback": "Correct"
             }
         ]