From 795af57d69a1cf709a00ed4c402869936fc7ae80 Mon Sep 17 00:00:00 2001 From: Anshul Gupta Date: Thu, 22 Feb 2024 18:37:01 -0800 Subject: Cleans housing data --- CS105MiniProject.ipynb | 48 ++++++++++++++++++++++++++++-------------------- 1 file changed, 28 insertions(+), 20 deletions(-) (limited to 'CS105MiniProject.ipynb') diff --git a/CS105MiniProject.ipynb b/CS105MiniProject.ipynb index 818356f..9203683 100644 --- a/CS105MiniProject.ipynb +++ b/CS105MiniProject.ipynb @@ -55,8 +55,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T02:10:58.731970Z", - "start_time": "2024-02-23T02:10:58.699969Z" + "end_time": "2024-02-23T02:35:17.657074Z", + "start_time": "2024-02-23T02:35:17.625812Z" } }, "id": "3bea6ea662d6c063", @@ -100,7 +100,11 @@ " .replace('North District 4 bed 2 bath', '4')\n", " .replace('3 (room), 8 (hall), ~70 (building)', '3')\n", " .astype(int))\n", - "df['Who do you live with? '] = df['Who do you live with? '].replace('Family, Friends', 'Both').replace('Family, Friends, Both', 'Both')\n", + "df['Who do you live with? '] = df['Who do you live with? '].replace('Family, Friends', 'Both').replace(\n", + " 'Family, Friends, Both', 'Both')\n", + "df['Do you currently live in a house, apartnment, or dorm? '] = (\n", + " df['Do you currently live in a house, apartnment, or dorm? ']\n", + " .replace('house (renting)', 'House'))\n", "# Normalizes non-applicable answers\n", "df.loc[df['Do you currently work?'] == 'No', 'How many hours do you work per week on average?'] = 0\n", "df.loc[df['Do you currently work?'] == 'No', 'Do you work in a department related to your major?'] = np.nan\n", @@ -110,8 +114,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T02:10:58.744774Z", - "start_time": "2024-02-23T02:10:58.732815Z" + "end_time": "2024-02-23T02:35:17.671536Z", + "start_time": "2024-02-23T02:35:17.657952Z" } }, "id": "f71f8085d5f66b0", @@ -140,8 +144,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T02:10:58.754973Z", - "start_time": "2024-02-23T02:10:58.746452Z" + "end_time": "2024-02-23T02:35:17.682158Z", + "start_time": "2024-02-23T02:35:17.673510Z" } }, "id": "6c1d9ee7948e6b9a", @@ -166,8 +170,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T02:10:58.763694Z", - "start_time": "2024-02-23T02:10:58.755858Z" + "end_time": "2024-02-23T02:35:17.690742Z", + "start_time": "2024-02-23T02:35:17.683032Z" } }, "id": "34f69a756f513fb7", @@ -208,8 +212,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T02:10:58.965154Z", - "start_time": "2024-02-23T02:10:58.764461Z" + "end_time": "2024-02-23T02:35:17.897912Z", + "start_time": "2024-02-23T02:35:17.691750Z" } }, "id": "da1811cc63b41845", @@ -221,18 +225,20 @@ { "data": { "text/plain": "
", - "image/png": "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" + "image/png": "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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ - "plt.subplots(figsize=(8, 8))\n", "df_2dhist = pd.DataFrame({\n", " x_label: grp['Do you currently work?'].value_counts()\n", " for x_label, grp in df.groupby('Do you currently live in a house, apartnment, or dorm? ')\n", "})\n", + "\n", + "# Plot heatmap\n", + "plt.subplots(figsize=(8, 8))\n", "sns.heatmap(df_2dhist, cmap='viridis')\n", "plt.xlabel('Do you currently live in a house, apartnment, or dorm? ')\n", "_ = plt.ylabel('Do you currently work?')" @@ -240,8 +246,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T02:10:59.277945Z", - "start_time": "2024-02-23T02:10:58.967433Z" + "end_time": "2024-02-23T02:35:18.116782Z", + "start_time": "2024-02-23T02:35:17.901109Z" } }, "id": "201db70188d3e778", @@ -261,21 +267,23 @@ { "data": { "text/plain": "
", - "image/png": "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" + "image/png": "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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ - "df.groupby('Do you currently live in a house, apartnment, or dorm? ').size().plot(kind='barh', color=sns.palettes.mpl_palette('Dark2'))\n", - "plt.gca().spines[['top', 'right',]].set_visible(False)" + "df.groupby('Do you currently live in a house, apartnment, or dorm? ').size().plot(kind='barh',\n", + " color=sns.palettes.mpl_palette(\n", + " 'Dark2'))\n", + "plt.gca().spines[['top', 'right', ]].set_visible(False)" ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T02:10:59.485432Z", - "start_time": "2024-02-23T02:10:59.281076Z" + "end_time": "2024-02-23T02:35:18.248057Z", + "start_time": "2024-02-23T02:35:18.118242Z" } }, "id": "5e460707e32c4a2a", -- cgit v1.2.3 From 431bff4fe84778d8bfa70ee7f712ec892883b969 Mon Sep 17 00:00:00 2001 From: Anaqvi2020 Date: Thu, 22 Feb 2024 22:09:34 -0800 Subject: Chi-square equation --- CS105MiniProject.ipynb | 1312 +++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 1255 insertions(+), 57 deletions(-) (limited to 'CS105MiniProject.ipynb') diff --git a/CS105MiniProject.ipynb b/CS105MiniProject.ipynb index ffb4fa4..dd77c8f 100644 --- a/CS105MiniProject.ipynb +++ b/CS105MiniProject.ipynb @@ -2,27 +2,312 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 54, "id": "daa13044", "metadata": { + "ExecuteTime": { + "end_time": "2024-02-23T01:01:41.396867Z", + "start_time": "2024-02-23T01:01:40.758392Z" + }, "colab": { "base_uri": "https://localhost:8080/", "height": 614 }, "id": "daa13044", - "outputId": "4d440aaa-1ee7-4771-c526-f55e9458ca8a", - "ExecuteTime": { - "end_time": "2024-02-23T01:01:41.396867Z", - "start_time": "2024-02-23T01:01:40.758392Z" - } + "outputId": "4d440aaa-1ee7-4771-c526-f55e9458ca8a" }, "outputs": [ { "data": { - "text/plain": " Timestamp What is your current class standing? \\\n0 2/9/2024 20:12:14 Senior \n1 2/9/2024 20:16:34 Junior \n2 2/9/2024 20:18:55 Junior \n3 2/9/2024 20:24:00 Senior \n4 2/9/2024 20:26:16 Graduate \n.. ... ... \n255 2/14/2024 19:46:28 Junior \n256 2/15/2024 0:28:38 NaN \n257 2/15/2024 8:33:45 Senior \n258 2/15/2024 16:10:40 Sophomore \n259 2/15/2024 16:14:11 Sophomore \n\n Who do you live with? \\\n0 Neither \n1 Both \n2 Friends \n3 Neither \n4 Neither \n.. ... \n255 Friends \n256 Family \n257 Family \n258 Family \n259 Friends \n\n Do you currently live in a house, apartnment, or dorm? \\\n0 House \n1 Apartment \n2 House \n3 Apartment \n4 Apartment \n.. ... \n255 House \n256 Apartment \n257 House \n258 Apartment \n259 Dorm \n\n How many people live in your household? Do you currently work? \\\n0 6 Yes \n1 4 No \n2 4 No \n3 1 No \n4 1 Yes \n.. ... ... \n255 5 Yes \n256 North District 4 bed 2 bath No \n257 9 No \n258 4 Yes \n259 3 (room), 8 (hall), ~70 (building) No \n\n How many hours do you work per week on average? \\\n0 5 - 10 \n1 NaN \n2 NaN \n3 NaN \n4 10 - 20 \n.. ... \n255 10 - 20 \n256 NaN \n257 1 - 5 \n258 5 - 10 \n259 NaN \n\n Do you work on or off campus? \\\n0 Off-campus \n1 NaN \n2 NaN \n3 NaN \n4 Off-campus \n.. ... \n255 On-campus \n256 NaN \n257 Off-campus \n258 On-campus \n259 NaN \n\n Do you work in a department related to your major? \\\n0 No \n1 NaN \n2 NaN \n3 No \n4 Yes \n.. ... \n255 No \n256 NaN \n257 No \n258 No \n259 NaN \n\n Do you have roommates that are part of your major? \n0 No \n1 Yes \n2 No \n3 No \n4 No \n.. ... \n255 No \n256 No \n257 No \n258 No \n259 Yes \n\n[260 rows x 10 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
TimestampWhat is your current class standing?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
02/9/2024 20:12:14SeniorNeitherHouse6Yes5 - 10Off-campusNoNo
12/9/2024 20:16:34JuniorBothApartment4NoNaNNaNNaNYes
22/9/2024 20:18:55JuniorFriendsHouse4NoNaNNaNNaNNo
32/9/2024 20:24:00SeniorNeitherApartment1NoNaNNaNNoNo
42/9/2024 20:26:16GraduateNeitherApartment1Yes10 - 20Off-campusYesNo
.................................
2552/14/2024 19:46:28JuniorFriendsHouse5Yes10 - 20On-campusNoNo
2562/15/2024 0:28:38NaNFamilyApartmentNorth District 4 bed 2 bathNoNaNNaNNaNNo
2572/15/2024 8:33:45SeniorFamilyHouse9No1 - 5Off-campusNoNo
2582/15/2024 16:10:40SophomoreFamilyApartment4Yes5 - 10On-campusNoNo
2592/15/2024 16:14:11SophomoreFriendsDorm3 (room), 8 (hall), ~70 (building)NoNaNNaNNaNYes
\n

260 rows × 10 columns

\n
" + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
TimestampWhat is your current class standing?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
02/9/2024 20:12:14SeniorNeitherHouse6Yes5 - 10Off-campusNoNo
12/9/2024 20:16:34JuniorBothApartment4NoNaNNaNNaNYes
22/9/2024 20:18:55JuniorFriendsHouse4NoNaNNaNNaNNo
32/9/2024 20:24:00SeniorNeitherApartment1NoNaNNaNNoNo
42/9/2024 20:26:16GraduateNeitherApartment1Yes10 - 20Off-campusYesNo
.................................
2552/14/2024 19:46:28JuniorFriendsHouse5Yes10 - 20On-campusNoNo
2562/15/2024 0:28:38NaNFamilyApartmentNorth District 4 bed 2 bathNoNaNNaNNaNNo
2572/15/2024 8:33:45SeniorFamilyHouse9No1 - 5Off-campusNoNo
2582/15/2024 16:10:40SophomoreFamilyApartment4Yes5 - 10On-campusNoNo
2592/15/2024 16:14:11SophomoreFriendsDorm3 (room), 8 (hall), ~70 (building)NoNaNNaNNaNYes
\n", + "

260 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " Timestamp What is your current class standing? \\\n", + "0 2/9/2024 20:12:14 Senior \n", + "1 2/9/2024 20:16:34 Junior \n", + "2 2/9/2024 20:18:55 Junior \n", + "3 2/9/2024 20:24:00 Senior \n", + "4 2/9/2024 20:26:16 Graduate \n", + ".. ... ... \n", + "255 2/14/2024 19:46:28 Junior \n", + "256 2/15/2024 0:28:38 NaN \n", + "257 2/15/2024 8:33:45 Senior \n", + "258 2/15/2024 16:10:40 Sophomore \n", + "259 2/15/2024 16:14:11 Sophomore \n", + "\n", + " Who do you live with? \\\n", + "0 Neither \n", + "1 Both \n", + "2 Friends \n", + "3 Neither \n", + "4 Neither \n", + ".. ... \n", + "255 Friends \n", + "256 Family \n", + "257 Family \n", + "258 Family \n", + "259 Friends \n", + "\n", + " Do you currently live in a house, apartnment, or dorm? \\\n", + "0 House \n", + "1 Apartment \n", + "2 House \n", + "3 Apartment \n", + "4 Apartment \n", + ".. ... \n", + "255 House \n", + "256 Apartment \n", + "257 House \n", + "258 Apartment \n", + "259 Dorm \n", + "\n", + " How many people live in your household? Do you currently work? \\\n", + "0 6 Yes \n", + "1 4 No \n", + "2 4 No \n", + "3 1 No \n", + "4 1 Yes \n", + ".. ... ... \n", + "255 5 Yes \n", + "256 North District 4 bed 2 bath No \n", + "257 9 No \n", + "258 4 Yes \n", + "259 3 (room), 8 (hall), ~70 (building) No \n", + "\n", + " How many hours do you work per week on average? \\\n", + "0 5 - 10 \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 10 - 20 \n", + ".. ... \n", + "255 10 - 20 \n", + "256 NaN \n", + "257 1 - 5 \n", + "258 5 - 10 \n", + "259 NaN \n", + "\n", + " Do you work on or off campus? \\\n", + "0 Off-campus \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 Off-campus \n", + ".. ... \n", + "255 On-campus \n", + "256 NaN \n", + "257 Off-campus \n", + "258 On-campus \n", + "259 NaN \n", + "\n", + " Do you work in a department related to your major? \\\n", + "0 No \n", + "1 NaN \n", + "2 NaN \n", + "3 No \n", + "4 Yes \n", + ".. ... \n", + "255 No \n", + "256 NaN \n", + "257 No \n", + "258 No \n", + "259 NaN \n", + "\n", + " Do you have roommates that are part of your major? \n", + "0 No \n", + "1 Yes \n", + "2 No \n", + "3 No \n", + "4 No \n", + ".. ... \n", + "255 No \n", + "256 No \n", + "257 No \n", + "258 No \n", + "259 Yes \n", + "\n", + "[260 rows x 10 columns]" + ] }, - "execution_count": 1, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -39,22 +324,307 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 55, "id": "29889175", "metadata": { - "id": "29889175", "ExecuteTime": { "end_time": "2024-02-23T01:01:41.409516Z", "start_time": "2024-02-23T01:01:41.398267Z" - } + }, + "id": "29889175" }, "outputs": [ { "data": { - "text/plain": " Timestamp What is your current class standing? \\\n0 2/9/2024 20:12:14 Senior \n1 2/9/2024 20:16:34 Junior \n2 2/9/2024 20:18:55 Junior \n3 2/9/2024 20:24:00 Senior \n4 2/9/2024 20:26:16 Graduate \n.. ... ... \n255 2/14/2024 19:46:28 Junior \n256 2/15/2024 0:28:38 NaN \n257 2/15/2024 8:33:45 Senior \n258 2/15/2024 16:10:40 Sophomore \n259 2/15/2024 16:14:11 Sophomore \n\n Who do you live with? \\\n0 Neither \n1 Both \n2 Friends \n3 Neither \n4 Neither \n.. ... \n255 Friends \n256 Family \n257 Family \n258 Family \n259 Friends \n\n Do you currently live in a house, apartnment, or dorm? \\\n0 House \n1 Apartment \n2 House \n3 Apartment \n4 Apartment \n.. ... \n255 House \n256 Apartment \n257 House \n258 Apartment \n259 Dorm \n\n How many people live in your household? Do you currently work? \\\n0 6 Yes \n1 4 No \n2 4 No \n3 1 No \n4 1 Yes \n.. ... ... \n255 5 Yes \n256 4 No \n257 9 No \n258 4 Yes \n259 3 No \n\n How many hours do you work per week on average? \\\n0 5 - 10 \n1 0 \n2 0 \n3 0 \n4 10 - 20 \n.. ... \n255 10 - 20 \n256 0 \n257 0 \n258 5 - 10 \n259 0 \n\n Do you work on or off campus? \\\n0 Off-campus \n1 NaN \n2 NaN \n3 NaN \n4 Off-campus \n.. ... \n255 On-campus \n256 NaN \n257 Off-campus \n258 On-campus \n259 NaN \n\n Do you work in a department related to your major? \\\n0 No \n1 NaN \n2 NaN \n3 NaN \n4 Yes \n.. ... \n255 No \n256 NaN \n257 NaN \n258 No \n259 NaN \n\n Do you have roommates that are part of your major? \n0 No \n1 Yes \n2 No \n3 No \n4 No \n.. ... \n255 No \n256 No \n257 No \n258 No \n259 Yes \n\n[260 rows x 10 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
TimestampWhat is your current class standing?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
02/9/2024 20:12:14SeniorNeitherHouse6Yes5 - 10Off-campusNoNo
12/9/2024 20:16:34JuniorBothApartment4No0NaNNaNYes
22/9/2024 20:18:55JuniorFriendsHouse4No0NaNNaNNo
32/9/2024 20:24:00SeniorNeitherApartment1No0NaNNaNNo
42/9/2024 20:26:16GraduateNeitherApartment1Yes10 - 20Off-campusYesNo
.................................
2552/14/2024 19:46:28JuniorFriendsHouse5Yes10 - 20On-campusNoNo
2562/15/2024 0:28:38NaNFamilyApartment4No0NaNNaNNo
2572/15/2024 8:33:45SeniorFamilyHouse9No0Off-campusNaNNo
2582/15/2024 16:10:40SophomoreFamilyApartment4Yes5 - 10On-campusNoNo
2592/15/2024 16:14:11SophomoreFriendsDorm3No0NaNNaNYes
\n

260 rows × 10 columns

\n
" + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
TimestampWhat is your current class standing?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
02/9/2024 20:12:14SeniorNeitherHouse6Yes5 - 10Off-campusNoNo
12/9/2024 20:16:34JuniorBothApartment4No0NaNNaNYes
22/9/2024 20:18:55JuniorFriendsHouse4No0NaNNaNNo
32/9/2024 20:24:00SeniorNeitherApartment1No0NaNNaNNo
42/9/2024 20:26:16GraduateNeitherApartment1Yes10 - 20Off-campusYesNo
.................................
2552/14/2024 19:46:28JuniorFriendsHouse5Yes10 - 20On-campusNoNo
2562/15/2024 0:28:38NaNFamilyApartment4No0NaNNaNNo
2572/15/2024 8:33:45SeniorFamilyHouse9No0Off-campusNaNNo
2582/15/2024 16:10:40SophomoreFamilyApartment4Yes5 - 10On-campusNoNo
2592/15/2024 16:14:11SophomoreFriendsDorm3No0NaNNaNYes
\n", + "

260 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " Timestamp What is your current class standing? \\\n", + "0 2/9/2024 20:12:14 Senior \n", + "1 2/9/2024 20:16:34 Junior \n", + "2 2/9/2024 20:18:55 Junior \n", + "3 2/9/2024 20:24:00 Senior \n", + "4 2/9/2024 20:26:16 Graduate \n", + ".. ... ... \n", + "255 2/14/2024 19:46:28 Junior \n", + "256 2/15/2024 0:28:38 NaN \n", + "257 2/15/2024 8:33:45 Senior \n", + "258 2/15/2024 16:10:40 Sophomore \n", + "259 2/15/2024 16:14:11 Sophomore \n", + "\n", + " Who do you live with? \\\n", + "0 Neither \n", + "1 Both \n", + "2 Friends \n", + "3 Neither \n", + "4 Neither \n", + ".. ... \n", + "255 Friends \n", + "256 Family \n", + "257 Family \n", + "258 Family \n", + "259 Friends \n", + "\n", + " Do you currently live in a house, apartnment, or dorm? \\\n", + "0 House \n", + "1 Apartment \n", + "2 House \n", + "3 Apartment \n", + "4 Apartment \n", + ".. ... \n", + "255 House \n", + "256 Apartment \n", + "257 House \n", + "258 Apartment \n", + "259 Dorm \n", + "\n", + " How many people live in your household? Do you currently work? \\\n", + "0 6 Yes \n", + "1 4 No \n", + "2 4 No \n", + "3 1 No \n", + "4 1 Yes \n", + ".. ... ... \n", + "255 5 Yes \n", + "256 4 No \n", + "257 9 No \n", + "258 4 Yes \n", + "259 3 No \n", + "\n", + " How many hours do you work per week on average? \\\n", + "0 5 - 10 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 10 - 20 \n", + ".. ... \n", + "255 10 - 20 \n", + "256 0 \n", + "257 0 \n", + "258 5 - 10 \n", + "259 0 \n", + "\n", + " Do you work on or off campus? \\\n", + "0 Off-campus \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 Off-campus \n", + ".. ... \n", + "255 On-campus \n", + "256 NaN \n", + "257 Off-campus \n", + "258 On-campus \n", + "259 NaN \n", + "\n", + " Do you work in a department related to your major? \\\n", + "0 No \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 Yes \n", + ".. ... \n", + "255 No \n", + "256 NaN \n", + "257 NaN \n", + "258 No \n", + "259 NaN \n", + "\n", + " Do you have roommates that are part of your major? \n", + "0 No \n", + "1 Yes \n", + "2 No \n", + "3 No \n", + "4 No \n", + ".. ... \n", + "255 No \n", + "256 No \n", + "257 No \n", + "258 No \n", + "259 Yes \n", + "\n", + "[260 rows x 10 columns]" + ] }, - "execution_count": 2, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -78,22 +648,307 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 56, "id": "de4448fd64205d85", "metadata": { - "collapsed": false, "ExecuteTime": { "end_time": "2024-02-23T01:01:41.418974Z", "start_time": "2024-02-23T01:01:41.410787Z" - } + }, + "collapsed": false }, "outputs": [ { "data": { - "text/plain": " Timestamp What is your current class standing? \\\n0 2/9/2024 20:12:14 Senior \n4 2/9/2024 20:26:16 Graduate \n8 2/9/2024 22:02:49 Junior \n9 2/9/2024 22:08:43 Senior \n13 2/9/2024 22:15:13 Junior \n.. ... ... \n246 2/13/2024 19:37:02 Graduate \n247 2/13/2024 21:39:14 Senior \n252 2/14/2024 9:48:12 Junior \n255 2/14/2024 19:46:28 Junior \n258 2/15/2024 16:10:40 Sophomore \n\n Who do you live with? \\\n0 Neither \n4 Neither \n8 Friends \n9 Family \n13 Family \n.. ... \n246 Family \n247 Friends \n252 Family \n255 Friends \n258 Family \n\n Do you currently live in a house, apartnment, or dorm? \\\n0 House \n4 Apartment \n8 House \n9 House \n13 Apartment \n.. ... \n246 House \n247 Apartment \n252 House \n255 House \n258 Apartment \n\n How many people live in your household? Do you currently work? \\\n0 6 Yes \n4 1 Yes \n8 6 Yes \n9 5 Yes \n13 4 Yes \n.. ... ... \n246 2 Yes \n247 3 Yes \n252 5 Yes \n255 5 Yes \n258 4 Yes \n\n How many hours do you work per week on average? \\\n0 5 - 10 \n4 10 - 20 \n8 10 - 20 \n9 1 - 5 \n13 10 - 20 \n.. ... \n246 10 - 20 \n247 20 - 40 \n252 20 - 40 \n255 10 - 20 \n258 5 - 10 \n\n Do you work on or off campus? \\\n0 Off-campus \n4 Off-campus \n8 On-campus \n9 On-campus \n13 Off-campus \n.. ... \n246 On-campus \n247 Off-campus \n252 Off-campus \n255 On-campus \n258 On-campus \n\n Do you work in a department related to your major? \\\n0 No \n4 Yes \n8 No \n9 No \n13 No \n.. ... \n246 Yes \n247 No \n252 No \n255 No \n258 No \n\n Do you have roommates that are part of your major? \n0 No \n4 No \n8 No \n9 No \n13 No \n.. ... \n246 No \n247 Yes \n252 No \n255 No \n258 No \n\n[77 rows x 10 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
TimestampWhat is your current class standing?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
02/9/2024 20:12:14SeniorNeitherHouse6Yes5 - 10Off-campusNoNo
42/9/2024 20:26:16GraduateNeitherApartment1Yes10 - 20Off-campusYesNo
82/9/2024 22:02:49JuniorFriendsHouse6Yes10 - 20On-campusNoNo
92/9/2024 22:08:43SeniorFamilyHouse5Yes1 - 5On-campusNoNo
132/9/2024 22:15:13JuniorFamilyApartment4Yes10 - 20Off-campusNoNo
.................................
2462/13/2024 19:37:02GraduateFamilyHouse2Yes10 - 20On-campusYesNo
2472/13/2024 21:39:14SeniorFriendsApartment3Yes20 - 40Off-campusNoYes
2522/14/2024 9:48:12JuniorFamilyHouse5Yes20 - 40Off-campusNoNo
2552/14/2024 19:46:28JuniorFriendsHouse5Yes10 - 20On-campusNoNo
2582/15/2024 16:10:40SophomoreFamilyApartment4Yes5 - 10On-campusNoNo
\n

77 rows × 10 columns

\n
" + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
TimestampWhat is your current class standing?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
02/9/2024 20:12:14SeniorNeitherHouse6Yes5 - 10Off-campusNoNo
42/9/2024 20:26:16GraduateNeitherApartment1Yes10 - 20Off-campusYesNo
82/9/2024 22:02:49JuniorFriendsHouse6Yes10 - 20On-campusNoNo
92/9/2024 22:08:43SeniorFamilyHouse5Yes1 - 5On-campusNoNo
132/9/2024 22:15:13JuniorFamilyApartment4Yes10 - 20Off-campusNoNo
.................................
2462/13/2024 19:37:02GraduateFamilyHouse2Yes10 - 20On-campusYesNo
2472/13/2024 21:39:14SeniorFriendsApartment3Yes20 - 40Off-campusNoYes
2522/14/2024 9:48:12JuniorFamilyHouse5Yes20 - 40Off-campusNoNo
2552/14/2024 19:46:28JuniorFriendsHouse5Yes10 - 20On-campusNoNo
2582/15/2024 16:10:40SophomoreFamilyApartment4Yes5 - 10On-campusNoNo
\n", + "

77 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " Timestamp What is your current class standing? \\\n", + "0 2/9/2024 20:12:14 Senior \n", + "4 2/9/2024 20:26:16 Graduate \n", + "8 2/9/2024 22:02:49 Junior \n", + "9 2/9/2024 22:08:43 Senior \n", + "13 2/9/2024 22:15:13 Junior \n", + ".. ... ... \n", + "246 2/13/2024 19:37:02 Graduate \n", + "247 2/13/2024 21:39:14 Senior \n", + "252 2/14/2024 9:48:12 Junior \n", + "255 2/14/2024 19:46:28 Junior \n", + "258 2/15/2024 16:10:40 Sophomore \n", + "\n", + " Who do you live with? \\\n", + "0 Neither \n", + "4 Neither \n", + "8 Friends \n", + "9 Family \n", + "13 Family \n", + ".. ... \n", + "246 Family \n", + "247 Friends \n", + "252 Family \n", + "255 Friends \n", + "258 Family \n", + "\n", + " Do you currently live in a house, apartnment, or dorm? \\\n", + "0 House \n", + "4 Apartment \n", + "8 House \n", + "9 House \n", + "13 Apartment \n", + ".. ... \n", + "246 House \n", + "247 Apartment \n", + "252 House \n", + "255 House \n", + "258 Apartment \n", + "\n", + " How many people live in your household? Do you currently work? \\\n", + "0 6 Yes \n", + "4 1 Yes \n", + "8 6 Yes \n", + "9 5 Yes \n", + "13 4 Yes \n", + ".. ... ... \n", + "246 2 Yes \n", + "247 3 Yes \n", + "252 5 Yes \n", + "255 5 Yes \n", + "258 4 Yes \n", + "\n", + " How many hours do you work per week on average? \\\n", + "0 5 - 10 \n", + "4 10 - 20 \n", + "8 10 - 20 \n", + "9 1 - 5 \n", + "13 10 - 20 \n", + ".. ... \n", + "246 10 - 20 \n", + "247 20 - 40 \n", + "252 20 - 40 \n", + "255 10 - 20 \n", + "258 5 - 10 \n", + "\n", + " Do you work on or off campus? \\\n", + "0 Off-campus \n", + "4 Off-campus \n", + "8 On-campus \n", + "9 On-campus \n", + "13 Off-campus \n", + ".. ... \n", + "246 On-campus \n", + "247 Off-campus \n", + "252 Off-campus \n", + "255 On-campus \n", + "258 On-campus \n", + "\n", + " Do you work in a department related to your major? \\\n", + "0 No \n", + "4 Yes \n", + "8 No \n", + "9 No \n", + "13 No \n", + ".. ... \n", + "246 Yes \n", + "247 No \n", + "252 No \n", + "255 No \n", + "258 No \n", + "\n", + " Do you have roommates that are part of your major? \n", + "0 No \n", + "4 No \n", + "8 No \n", + "9 No \n", + "13 No \n", + ".. ... \n", + "246 No \n", + "247 Yes \n", + "252 No \n", + "255 No \n", + "258 No \n", + "\n", + "[77 rows x 10 columns]" + ] }, - "execution_count": 3, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -108,51 +963,347 @@ }, { "cell_type": "code", + "execution_count": 57, + "id": "5fe8ec7f22878e60", + "metadata": { + "ExecuteTime": { + "end_time": "2024-02-23T01:01:41.427847Z", + "start_time": "2024-02-23T01:01:41.419852Z" + }, + "collapsed": false + }, "outputs": [ { "data": { - "text/plain": " Timestamp What is your current class standing? \\\n1 2/9/2024 20:16:34 Junior \n2 2/9/2024 20:18:55 Junior \n3 2/9/2024 20:24:00 Senior \n5 2/9/2024 20:45:09 Junior \n6 2/9/2024 21:55:59 Sophomore \n.. ... ... \n253 2/14/2024 13:45:45 Senior \n254 2/14/2024 16:26:06 Junior \n256 2/15/2024 0:28:38 NaN \n257 2/15/2024 8:33:45 Senior \n259 2/15/2024 16:14:11 Sophomore \n\n Who do you live with? \\\n1 Both \n2 Friends \n3 Neither \n5 Both \n6 Friends \n.. ... \n253 Family \n254 Family \n256 Family \n257 Family \n259 Friends \n\n Do you currently live in a house, apartnment, or dorm? \\\n1 Apartment \n2 House \n3 Apartment \n5 Apartment \n6 Apartment \n.. ... \n253 House \n254 House \n256 Apartment \n257 House \n259 Dorm \n\n How many people live in your household? Do you currently work? \\\n1 4 No \n2 4 No \n3 1 No \n5 4 No \n6 4 No \n.. ... ... \n253 6 No \n254 5 No \n256 4 No \n257 9 No \n259 3 No \n\n How many hours do you work per week on average? \\\n1 0 \n2 0 \n3 0 \n5 0 \n6 0 \n.. ... \n253 0 \n254 0 \n256 0 \n257 0 \n259 0 \n\n Do you work on or off campus? \\\n1 NaN \n2 NaN \n3 NaN \n5 NaN \n6 NaN \n.. ... \n253 NaN \n254 NaN \n256 NaN \n257 Off-campus \n259 NaN \n\n Do you work in a department related to your major? \\\n1 NaN \n2 NaN \n3 NaN \n5 NaN \n6 NaN \n.. ... \n253 NaN \n254 NaN \n256 NaN \n257 NaN \n259 NaN \n\n Do you have roommates that are part of your major? \n1 Yes \n2 No \n3 No \n5 No \n6 No \n.. ... \n253 No \n254 Yes \n256 No \n257 No \n259 Yes \n\n[176 rows x 10 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
TimestampWhat is your current class standing?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
12/9/2024 20:16:34JuniorBothApartment4No0NaNNaNYes
22/9/2024 20:18:55JuniorFriendsHouse4No0NaNNaNNo
32/9/2024 20:24:00SeniorNeitherApartment1No0NaNNaNNo
52/9/2024 20:45:09JuniorBothApartment4No0NaNNaNNo
62/9/2024 21:55:59SophomoreFriendsApartment4No0NaNNaNNo
.................................
2532/14/2024 13:45:45SeniorFamilyHouse6No0NaNNaNNo
2542/14/2024 16:26:06JuniorFamilyHouse5No0NaNNaNYes
2562/15/2024 0:28:38NaNFamilyApartment4No0NaNNaNNo
2572/15/2024 8:33:45SeniorFamilyHouse9No0Off-campusNaNNo
2592/15/2024 16:14:11SophomoreFriendsDorm3No0NaNNaNYes
\n

176 rows × 10 columns

\n
" + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
TimestampWhat is your current class standing?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
12/9/2024 20:16:34JuniorBothApartment4No0NaNNaNYes
22/9/2024 20:18:55JuniorFriendsHouse4No0NaNNaNNo
32/9/2024 20:24:00SeniorNeitherApartment1No0NaNNaNNo
52/9/2024 20:45:09JuniorBothApartment4No0NaNNaNNo
62/9/2024 21:55:59SophomoreFriendsApartment4No0NaNNaNNo
.................................
2532/14/2024 13:45:45SeniorFamilyHouse6No0NaNNaNNo
2542/14/2024 16:26:06JuniorFamilyHouse5No0NaNNaNYes
2562/15/2024 0:28:38NaNFamilyApartment4No0NaNNaNNo
2572/15/2024 8:33:45SeniorFamilyHouse9No0Off-campusNaNNo
2592/15/2024 16:14:11SophomoreFriendsDorm3No0NaNNaNYes
\n", + "

176 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " Timestamp What is your current class standing? \\\n", + "1 2/9/2024 20:16:34 Junior \n", + "2 2/9/2024 20:18:55 Junior \n", + "3 2/9/2024 20:24:00 Senior \n", + "5 2/9/2024 20:45:09 Junior \n", + "6 2/9/2024 21:55:59 Sophomore \n", + ".. ... ... \n", + "253 2/14/2024 13:45:45 Senior \n", + "254 2/14/2024 16:26:06 Junior \n", + "256 2/15/2024 0:28:38 NaN \n", + "257 2/15/2024 8:33:45 Senior \n", + "259 2/15/2024 16:14:11 Sophomore \n", + "\n", + " Who do you live with? \\\n", + "1 Both \n", + "2 Friends \n", + "3 Neither \n", + "5 Both \n", + "6 Friends \n", + ".. ... \n", + "253 Family \n", + "254 Family \n", + "256 Family \n", + "257 Family \n", + "259 Friends \n", + "\n", + " Do you currently live in a house, apartnment, or dorm? \\\n", + "1 Apartment \n", + "2 House \n", + "3 Apartment \n", + "5 Apartment \n", + "6 Apartment \n", + ".. ... \n", + "253 House \n", + "254 House \n", + "256 Apartment \n", + "257 House \n", + "259 Dorm \n", + "\n", + " How many people live in your household? Do you currently work? \\\n", + "1 4 No \n", + "2 4 No \n", + "3 1 No \n", + "5 4 No \n", + "6 4 No \n", + ".. ... ... \n", + "253 6 No \n", + "254 5 No \n", + "256 4 No \n", + "257 9 No \n", + "259 3 No \n", + "\n", + " How many hours do you work per week on average? \\\n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "5 0 \n", + "6 0 \n", + ".. ... \n", + "253 0 \n", + "254 0 \n", + "256 0 \n", + "257 0 \n", + "259 0 \n", + "\n", + " Do you work on or off campus? \\\n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "5 NaN \n", + "6 NaN \n", + ".. ... \n", + "253 NaN \n", + "254 NaN \n", + "256 NaN \n", + "257 Off-campus \n", + "259 NaN \n", + "\n", + " Do you work in a department related to your major? \\\n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "5 NaN \n", + "6 NaN \n", + ".. ... \n", + "253 NaN \n", + "254 NaN \n", + "256 NaN \n", + "257 NaN \n", + "259 NaN \n", + "\n", + " Do you have roommates that are part of your major? \n", + "1 Yes \n", + "2 No \n", + "3 No \n", + "5 No \n", + "6 No \n", + ".. ... \n", + "253 No \n", + "254 Yes \n", + "256 No \n", + "257 No \n", + "259 Yes \n", + "\n", + "[176 rows x 10 columns]" + ] }, - "execution_count": 4, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nw_df" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-02-23T01:01:41.427847Z", - "start_time": "2024-02-23T01:01:41.419852Z" - } - }, - "id": "5fe8ec7f22878e60", - "execution_count": 4 + ] }, { "cell_type": "markdown", + "id": "899d85626b77db20", + "metadata": { + "collapsed": false + }, "source": [ "
\n", "

CS105 Project

\n", "

Ali Naqvi, ...

\n", "

Topic: Does who a student is living with effect if and how they work jobs?

\n", "
\n" - ], - "metadata": { - "collapsed": false - }, - "id": "899d85626b77db20" + ] }, { "cell_type": "code", + "execution_count": 58, + "id": "bfa40c9e9693481d", + "metadata": { + "ExecuteTime": { + "end_time": "2024-02-23T01:01:41.526696Z", + "start_time": "2024-02-23T01:01:41.430135Z" + }, + "collapsed": false + }, "outputs": [ { "data": { - "text/plain": "
", - "image/png": "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" + "image/png": "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", + "text/plain": [ + "
" + ] }, "metadata": {}, "output_type": "display_data" @@ -171,30 +1322,77 @@ "plt.pie(work_counts, labels=work_counts.index, autopct='%1.1f%%', startangle=90, colors=['lightblue', 'lightcoral'])\n", "plt.title('Distribution of People Who Work and Don\\'t Work')\n", "plt.show()\n" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-02-23T01:01:41.526696Z", - "start_time": "2024-02-23T01:01:41.430135Z" - } - }, - "id": "bfa40c9e9693481d", - "execution_count": 5 + ] }, { "cell_type": "code", - "outputs": [], - "source": [], + "execution_count": 65, + "id": "9c830283e9b26466", "metadata": { - "collapsed": false, "ExecuteTime": { "end_time": "2024-02-23T01:01:41.532148Z", "start_time": "2024-02-23T01:01:41.528825Z" - } + }, + "collapsed": false }, - "id": "9c830283e9b26466", - "execution_count": 5 + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Do you have roommates that are part of your major? No Yes Total\n", + "Do you currently live in a house, apartnment, o... \n", + "Apartment 83 44 127\n", + "Dorm 17 11 28\n", + "House 77 21 98\n", + "Room 1 0 1\n", + "house (renting) 1 0 1\n", + "Total 179 76 255\n" + ] + } + ], + "source": [ + "roommates_major_table = pd.crosstab(df.iloc[:, 3], df.iloc[:, 9], margins=True, margins_name='Total')\n", + "\n", + "# Print the table\n", + "print(roommates_major_table)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "aef1e802", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Chi-squared Value: 6.761293513057266\n", + "Degrees of Freedom: 10\n" + ] + } + ], + "source": [ + "# Extract the observed values from the contingency table\n", + "observed_values = roommates_major_table.iloc[:-1, :-1].values\n", + "\n", + "# Calculate expected values\n", + "row_totals = roommates_major_table.iloc[:-1, -1].values\n", + "col_totals = roommates_major_table.iloc[-1, :-1].values\n", + "total = np.sum(row_totals)\n", + "\n", + "expected_values = np.outer(row_totals, col_totals) / total\n", + "\n", + "# Calculate chi-squared statistic\n", + "chi2_statistic = np.sum((observed_values - expected_values)**2 / expected_values)\n", + "\n", + "# Degrees of freedom\n", + "degrees_of_freedom = (roommates_major_table.shape[0] - 1) * (roommates_major_table.shape[1] - 1)\n", + "\n", + "# Print results\n", + "print(f\"Chi-squared Value: {chi2_statistic}\\nDegrees of Freedom: {degrees_of_freedom}\")\n" + ] } ], "metadata": { -- cgit v1.2.3 From 9b066744bfcc7992917f93d6d0c2cea2bd6afb6d Mon Sep 17 00:00:00 2001 From: Anshul Gupta Date: Thu, 22 Feb 2024 22:19:24 -0800 Subject: Formatting --- CS105MiniProject.ipynb | 1339 ++++++------------------------------------------ 1 file changed, 149 insertions(+), 1190 deletions(-) (limited to 'CS105MiniProject.ipynb') diff --git a/CS105MiniProject.ipynb b/CS105MiniProject.ipynb index 35ebf16..0663bc0 100644 --- a/CS105MiniProject.ipynb +++ b/CS105MiniProject.ipynb @@ -26,312 +26,27 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 1, "id": "daa13044", "metadata": { - "ExecuteTime": { - "end_time": "2024-02-23T01:01:41.396867Z", - "start_time": "2024-02-23T01:01:40.758392Z" - }, "colab": { "base_uri": "https://localhost:8080/", "height": 614 }, "id": "daa13044", - "outputId": "4d440aaa-1ee7-4771-c526-f55e9458ca8a" + "outputId": "4d440aaa-1ee7-4771-c526-f55e9458ca8a", + "ExecuteTime": { + "end_time": "2024-02-23T06:18:35.652667Z", + "start_time": "2024-02-23T06:18:35.617295Z" + } }, "outputs": [ { "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
TimestampWhat is your current class standing?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
02/9/2024 20:12:14SeniorNeitherHouse6Yes5 - 10Off-campusNoNo
12/9/2024 20:16:34JuniorBothApartment4NoNaNNaNNaNYes
22/9/2024 20:18:55JuniorFriendsHouse4NoNaNNaNNaNNo
32/9/2024 20:24:00SeniorNeitherApartment1NoNaNNaNNoNo
42/9/2024 20:26:16GraduateNeitherApartment1Yes10 - 20Off-campusYesNo
.................................
2552/14/2024 19:46:28JuniorFriendsHouse5Yes10 - 20On-campusNoNo
2562/15/2024 0:28:38NaNFamilyApartmentNorth District 4 bed 2 bathNoNaNNaNNaNNo
2572/15/2024 8:33:45SeniorFamilyHouse9No1 - 5Off-campusNoNo
2582/15/2024 16:10:40SophomoreFamilyApartment4Yes5 - 10On-campusNoNo
2592/15/2024 16:14:11SophomoreFriendsDorm3 (room), 8 (hall), ~70 (building)NoNaNNaNNaNYes
\n", - "

260 rows × 10 columns

\n", - "
" - ], - "text/plain": [ - " Timestamp What is your current class standing? \\\n", - "0 2/9/2024 20:12:14 Senior \n", - "1 2/9/2024 20:16:34 Junior \n", - "2 2/9/2024 20:18:55 Junior \n", - "3 2/9/2024 20:24:00 Senior \n", - "4 2/9/2024 20:26:16 Graduate \n", - ".. ... ... \n", - "255 2/14/2024 19:46:28 Junior \n", - "256 2/15/2024 0:28:38 NaN \n", - "257 2/15/2024 8:33:45 Senior \n", - "258 2/15/2024 16:10:40 Sophomore \n", - "259 2/15/2024 16:14:11 Sophomore \n", - "\n", - " Who do you live with? \\\n", - "0 Neither \n", - "1 Both \n", - "2 Friends \n", - "3 Neither \n", - "4 Neither \n", - ".. ... \n", - "255 Friends \n", - "256 Family \n", - "257 Family \n", - "258 Family \n", - "259 Friends \n", - "\n", - " Do you currently live in a house, apartnment, or dorm? \\\n", - "0 House \n", - "1 Apartment \n", - "2 House \n", - "3 Apartment \n", - "4 Apartment \n", - ".. ... \n", - "255 House \n", - "256 Apartment \n", - "257 House \n", - "258 Apartment \n", - "259 Dorm \n", - "\n", - " How many people live in your household? Do you currently work? \\\n", - "0 6 Yes \n", - "1 4 No \n", - "2 4 No \n", - "3 1 No \n", - "4 1 Yes \n", - ".. ... ... \n", - "255 5 Yes \n", - "256 North District 4 bed 2 bath No \n", - "257 9 No \n", - "258 4 Yes \n", - "259 3 (room), 8 (hall), ~70 (building) No \n", - "\n", - " How many hours do you work per week on average? \\\n", - "0 5 - 10 \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 10 - 20 \n", - ".. ... \n", - "255 10 - 20 \n", - "256 NaN \n", - "257 1 - 5 \n", - "258 5 - 10 \n", - "259 NaN \n", - "\n", - " Do you work on or off campus? \\\n", - "0 Off-campus \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 Off-campus \n", - ".. ... \n", - "255 On-campus \n", - "256 NaN \n", - "257 Off-campus \n", - "258 On-campus \n", - "259 NaN \n", - "\n", - " Do you work in a department related to your major? \\\n", - "0 No \n", - "1 NaN \n", - "2 NaN \n", - "3 No \n", - "4 Yes \n", - ".. ... \n", - "255 No \n", - "256 NaN \n", - "257 No \n", - "258 No \n", - "259 NaN \n", - "\n", - " Do you have roommates that are part of your major? \n", - "0 No \n", - "1 Yes \n", - "2 No \n", - "3 No \n", - "4 No \n", - ".. ... \n", - "255 No \n", - "256 No \n", - "257 No \n", - "258 No \n", - "259 Yes \n", - "\n", - "[260 rows x 10 columns]" - ] + "text/plain": " What is your current class standing? What is your age? \\\n0 Senior 23+ \n1 Junior 20 \n2 Junior 23+ \n3 Senior 23+ \n4 Graduate 22 \n.. ... ... \n255 Junior 21 \n256 NaN 21 \n257 Senior 21 \n258 Sophomore 21 \n259 Sophomore 18 \n\n Who do you live with? \\\n0 Neither \n1 Both \n2 Friends \n3 Neither \n4 Neither \n.. ... \n255 Friends \n256 Family \n257 Family \n258 Family \n259 Friends \n\n Do you currently live in a house, apartnment, or dorm? \\\n0 House \n1 Apartment \n2 House \n3 Apartment \n4 Apartment \n.. ... \n255 House \n256 Apartment \n257 House \n258 Apartment \n259 Dorm \n\n How many people live in your household? Do you currently work? \\\n0 6 Yes \n1 4 No \n2 4 No \n3 1 No \n4 1 Yes \n.. ... ... \n255 5 Yes \n256 North District 4 bed 2 bath No \n257 9 No \n258 4 Yes \n259 3 (room), 8 (hall), ~70 (building) No \n\n How many hours do you work per week on average? \\\n0 5 - 10 \n1 NaN \n2 NaN \n3 NaN \n4 10 - 20 \n.. ... \n255 10 - 20 \n256 NaN \n257 1 - 5 \n258 5 - 10 \n259 NaN \n\n Do you work on or off campus? \\\n0 Off-campus \n1 NaN \n2 NaN \n3 NaN \n4 Off-campus \n.. ... \n255 On-campus \n256 NaN \n257 Off-campus \n258 On-campus \n259 NaN \n\n Do you work in a department related to your major? \\\n0 No \n1 NaN \n2 NaN \n3 No \n4 Yes \n.. ... \n255 No \n256 NaN \n257 No \n258 No \n259 NaN \n\n Do you have roommates that are part of your major? \n0 No \n1 Yes \n2 No \n3 No \n4 No \n.. ... \n255 No \n256 No \n257 No \n258 No \n259 Yes \n\n[260 rows x 10 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
What is your current class standing?What is your age?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
0Senior23+NeitherHouse6Yes5 - 10Off-campusNoNo
1Junior20BothApartment4NoNaNNaNNaNYes
2Junior23+FriendsHouse4NoNaNNaNNaNNo
3Senior23+NeitherApartment1NoNaNNaNNoNo
4Graduate22NeitherApartment1Yes10 - 20Off-campusYesNo
.................................
255Junior21FriendsHouse5Yes10 - 20On-campusNoNo
256NaN21FamilyApartmentNorth District 4 bed 2 bathNoNaNNaNNaNNo
257Senior21FamilyHouse9No1 - 5Off-campusNoNo
258Sophomore21FamilyApartment4Yes5 - 10On-campusNoNo
259Sophomore18FriendsDorm3 (room), 8 (hall), ~70 (building)NoNaNNaNNaNYes
\n

260 rows × 10 columns

\n
" }, - "execution_count": 54, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -364,307 +79,22 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 2, "id": "29889175", "metadata": { + "id": "29889175", "ExecuteTime": { - "end_time": "2024-02-23T01:01:41.409516Z", - "start_time": "2024-02-23T01:01:41.398267Z" - }, - "id": "29889175" + "end_time": "2024-02-23T06:18:35.665240Z", + "start_time": "2024-02-23T06:18:35.654717Z" + } }, "outputs": [ { "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
TimestampWhat is your current class standing?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
02/9/2024 20:12:14SeniorNeitherHouse6Yes5 - 10Off-campusNoNo
12/9/2024 20:16:34JuniorBothApartment4No0NaNNaNYes
22/9/2024 20:18:55JuniorFriendsHouse4No0NaNNaNNo
32/9/2024 20:24:00SeniorNeitherApartment1No0NaNNaNNo
42/9/2024 20:26:16GraduateNeitherApartment1Yes10 - 20Off-campusYesNo
.................................
2552/14/2024 19:46:28JuniorFriendsHouse5Yes10 - 20On-campusNoNo
2562/15/2024 0:28:38NaNFamilyApartment4No0NaNNaNNo
2572/15/2024 8:33:45SeniorFamilyHouse9No0Off-campusNaNNo
2582/15/2024 16:10:40SophomoreFamilyApartment4Yes5 - 10On-campusNoNo
2592/15/2024 16:14:11SophomoreFriendsDorm3No0NaNNaNYes
\n", - "

260 rows × 10 columns

\n", - "
" - ], - "text/plain": [ - " Timestamp What is your current class standing? \\\n", - "0 2/9/2024 20:12:14 Senior \n", - "1 2/9/2024 20:16:34 Junior \n", - "2 2/9/2024 20:18:55 Junior \n", - "3 2/9/2024 20:24:00 Senior \n", - "4 2/9/2024 20:26:16 Graduate \n", - ".. ... ... \n", - "255 2/14/2024 19:46:28 Junior \n", - "256 2/15/2024 0:28:38 NaN \n", - "257 2/15/2024 8:33:45 Senior \n", - "258 2/15/2024 16:10:40 Sophomore \n", - "259 2/15/2024 16:14:11 Sophomore \n", - "\n", - " Who do you live with? \\\n", - "0 Neither \n", - "1 Both \n", - "2 Friends \n", - "3 Neither \n", - "4 Neither \n", - ".. ... \n", - "255 Friends \n", - "256 Family \n", - "257 Family \n", - "258 Family \n", - "259 Friends \n", - "\n", - " Do you currently live in a house, apartnment, or dorm? \\\n", - "0 House \n", - "1 Apartment \n", - "2 House \n", - "3 Apartment \n", - "4 Apartment \n", - ".. ... \n", - "255 House \n", - "256 Apartment \n", - "257 House \n", - "258 Apartment \n", - "259 Dorm \n", - "\n", - " How many people live in your household? Do you currently work? \\\n", - "0 6 Yes \n", - "1 4 No \n", - "2 4 No \n", - "3 1 No \n", - "4 1 Yes \n", - ".. ... ... \n", - "255 5 Yes \n", - "256 4 No \n", - "257 9 No \n", - "258 4 Yes \n", - "259 3 No \n", - "\n", - " How many hours do you work per week on average? \\\n", - "0 5 - 10 \n", - "1 0 \n", - "2 0 \n", - "3 0 \n", - "4 10 - 20 \n", - ".. ... \n", - "255 10 - 20 \n", - "256 0 \n", - "257 0 \n", - "258 5 - 10 \n", - "259 0 \n", - "\n", - " Do you work on or off campus? \\\n", - "0 Off-campus \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 Off-campus \n", - ".. ... \n", - "255 On-campus \n", - "256 NaN \n", - "257 Off-campus \n", - "258 On-campus \n", - "259 NaN \n", - "\n", - " Do you work in a department related to your major? \\\n", - "0 No \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 Yes \n", - ".. ... \n", - "255 No \n", - "256 NaN \n", - "257 NaN \n", - "258 No \n", - "259 NaN \n", - "\n", - " Do you have roommates that are part of your major? \n", - "0 No \n", - "1 Yes \n", - "2 No \n", - "3 No \n", - "4 No \n", - ".. ... \n", - "255 No \n", - "256 No \n", - "257 No \n", - "258 No \n", - "259 Yes \n", - "\n", - "[260 rows x 10 columns]" - ] + "text/plain": " What is your current class standing? What is your age? \\\n0 Senior 23+ \n1 Junior 20 \n2 Junior 23+ \n3 Senior 23+ \n4 Graduate 22 \n.. ... ... \n255 Junior 21 \n256 NaN 21 \n257 Senior 21 \n258 Sophomore 21 \n259 Sophomore 18 \n\n Who do you live with? \\\n0 Neither \n1 Both \n2 Friends \n3 Neither \n4 Neither \n.. ... \n255 Friends \n256 Family \n257 Family \n258 Family \n259 Friends \n\n Do you currently live in a house, apartnment, or dorm? \\\n0 House \n1 Apartment \n2 House \n3 Apartment \n4 Apartment \n.. ... \n255 House \n256 Apartment \n257 House \n258 Apartment \n259 Dorm \n\n How many people live in your household? Do you currently work? \\\n0 6 Yes \n1 4 No \n2 4 No \n3 1 No \n4 1 Yes \n.. ... ... \n255 5 Yes \n256 4 No \n257 9 No \n258 4 Yes \n259 3 No \n\n How many hours do you work per week on average? \\\n0 5 - 10 \n1 0 \n2 0 \n3 0 \n4 10 - 20 \n.. ... \n255 10 - 20 \n256 0 \n257 0 \n258 5 - 10 \n259 0 \n\n Do you work on or off campus? \\\n0 Off-campus \n1 NaN \n2 NaN \n3 NaN \n4 Off-campus \n.. ... \n255 On-campus \n256 NaN \n257 Off-campus \n258 On-campus \n259 NaN \n\n Do you work in a department related to your major? \\\n0 No \n1 NaN \n2 NaN \n3 NaN \n4 Yes \n.. ... \n255 No \n256 NaN \n257 NaN \n258 No \n259 NaN \n\n Do you have roommates that are part of your major? \n0 No \n1 Yes \n2 No \n3 No \n4 No \n.. ... \n255 No \n256 No \n257 No \n258 No \n259 Yes \n\n[260 rows x 10 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
What is your current class standing?What is your age?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
0Senior23+NeitherHouse6Yes5 - 10Off-campusNoNo
1Junior20BothApartment4No0NaNNaNYes
2Junior23+FriendsHouse4No0NaNNaNNo
3Senior23+NeitherApartment1No0NaNNaNNo
4Graduate22NeitherApartment1Yes10 - 20Off-campusYesNo
.................................
255Junior21FriendsHouse5Yes10 - 20On-campusNoNo
256NaN21FamilyApartment4No0NaNNaNNo
257Senior21FamilyHouse9No0Off-campusNaNNo
258Sophomore21FamilyApartment4Yes5 - 10On-campusNoNo
259Sophomore18FriendsDorm3No0NaNNaNYes
\n

260 rows × 10 columns

\n
" }, - "execution_count": 55, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -698,307 +128,22 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 3, "id": "de4448fd64205d85", "metadata": { + "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T01:01:41.418974Z", - "start_time": "2024-02-23T01:01:41.410787Z" - }, - "collapsed": false + "end_time": "2024-02-23T06:18:35.672377Z", + "start_time": "2024-02-23T06:18:35.665944Z" + } }, "outputs": [ { "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
TimestampWhat is your current class standing?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
02/9/2024 20:12:14SeniorNeitherHouse6Yes5 - 10Off-campusNoNo
42/9/2024 20:26:16GraduateNeitherApartment1Yes10 - 20Off-campusYesNo
82/9/2024 22:02:49JuniorFriendsHouse6Yes10 - 20On-campusNoNo
92/9/2024 22:08:43SeniorFamilyHouse5Yes1 - 5On-campusNoNo
132/9/2024 22:15:13JuniorFamilyApartment4Yes10 - 20Off-campusNoNo
.................................
2462/13/2024 19:37:02GraduateFamilyHouse2Yes10 - 20On-campusYesNo
2472/13/2024 21:39:14SeniorFriendsApartment3Yes20 - 40Off-campusNoYes
2522/14/2024 9:48:12JuniorFamilyHouse5Yes20 - 40Off-campusNoNo
2552/14/2024 19:46:28JuniorFriendsHouse5Yes10 - 20On-campusNoNo
2582/15/2024 16:10:40SophomoreFamilyApartment4Yes5 - 10On-campusNoNo
\n", - "

77 rows × 10 columns

\n", - "
" - ], - "text/plain": [ - " Timestamp What is your current class standing? \\\n", - "0 2/9/2024 20:12:14 Senior \n", - "4 2/9/2024 20:26:16 Graduate \n", - "8 2/9/2024 22:02:49 Junior \n", - "9 2/9/2024 22:08:43 Senior \n", - "13 2/9/2024 22:15:13 Junior \n", - ".. ... ... \n", - "246 2/13/2024 19:37:02 Graduate \n", - "247 2/13/2024 21:39:14 Senior \n", - "252 2/14/2024 9:48:12 Junior \n", - "255 2/14/2024 19:46:28 Junior \n", - "258 2/15/2024 16:10:40 Sophomore \n", - "\n", - " Who do you live with? \\\n", - "0 Neither \n", - "4 Neither \n", - "8 Friends \n", - "9 Family \n", - "13 Family \n", - ".. ... \n", - "246 Family \n", - "247 Friends \n", - "252 Family \n", - "255 Friends \n", - "258 Family \n", - "\n", - " Do you currently live in a house, apartnment, or dorm? \\\n", - "0 House \n", - "4 Apartment \n", - "8 House \n", - "9 House \n", - "13 Apartment \n", - ".. ... \n", - "246 House \n", - "247 Apartment \n", - "252 House \n", - "255 House \n", - "258 Apartment \n", - "\n", - " How many people live in your household? Do you currently work? \\\n", - "0 6 Yes \n", - "4 1 Yes \n", - "8 6 Yes \n", - "9 5 Yes \n", - "13 4 Yes \n", - ".. ... ... \n", - "246 2 Yes \n", - "247 3 Yes \n", - "252 5 Yes \n", - "255 5 Yes \n", - "258 4 Yes \n", - "\n", - " How many hours do you work per week on average? \\\n", - "0 5 - 10 \n", - "4 10 - 20 \n", - "8 10 - 20 \n", - "9 1 - 5 \n", - "13 10 - 20 \n", - ".. ... \n", - "246 10 - 20 \n", - "247 20 - 40 \n", - "252 20 - 40 \n", - "255 10 - 20 \n", - "258 5 - 10 \n", - "\n", - " Do you work on or off campus? \\\n", - "0 Off-campus \n", - "4 Off-campus \n", - "8 On-campus \n", - "9 On-campus \n", - "13 Off-campus \n", - ".. ... \n", - "246 On-campus \n", - "247 Off-campus \n", - "252 Off-campus \n", - "255 On-campus \n", - "258 On-campus \n", - "\n", - " Do you work in a department related to your major? \\\n", - "0 No \n", - "4 Yes \n", - "8 No \n", - "9 No \n", - "13 No \n", - ".. ... \n", - "246 Yes \n", - "247 No \n", - "252 No \n", - "255 No \n", - "258 No \n", - "\n", - " Do you have roommates that are part of your major? \n", - "0 No \n", - "4 No \n", - "8 No \n", - "9 No \n", - "13 No \n", - ".. ... \n", - "246 No \n", - "247 Yes \n", - "252 No \n", - "255 No \n", - "258 No \n", - "\n", - "[77 rows x 10 columns]" - ] + "text/plain": " What is your current class standing? What is your age? \\\n0 Senior 23+ \n4 Graduate 22 \n8 Junior 20 \n9 Senior 22 \n13 Junior 21 \n.. ... ... \n246 Graduate 23+ \n247 Senior 21 \n252 Junior 20 \n255 Junior 21 \n258 Sophomore 21 \n\n Who do you live with? \\\n0 Neither \n4 Neither \n8 Friends \n9 Family \n13 Family \n.. ... \n246 Family \n247 Friends \n252 Family \n255 Friends \n258 Family \n\n Do you currently live in a house, apartnment, or dorm? \\\n0 House \n4 Apartment \n8 House \n9 House \n13 Apartment \n.. ... \n246 House \n247 Apartment \n252 House \n255 House \n258 Apartment \n\n How many people live in your household? Do you currently work? \\\n0 6 Yes \n4 1 Yes \n8 6 Yes \n9 5 Yes \n13 4 Yes \n.. ... ... \n246 2 Yes \n247 3 Yes \n252 5 Yes \n255 5 Yes \n258 4 Yes \n\n How many hours do you work per week on average? \\\n0 5 - 10 \n4 10 - 20 \n8 10 - 20 \n9 1 - 5 \n13 10 - 20 \n.. ... \n246 10 - 20 \n247 20 - 40 \n252 20 - 40 \n255 10 - 20 \n258 5 - 10 \n\n Do you work on or off campus? \\\n0 Off-campus \n4 Off-campus \n8 On-campus \n9 On-campus \n13 Off-campus \n.. ... \n246 On-campus \n247 Off-campus \n252 Off-campus \n255 On-campus \n258 On-campus \n\n Do you work in a department related to your major? \\\n0 No \n4 Yes \n8 No \n9 No \n13 No \n.. ... \n246 Yes \n247 No \n252 No \n255 No \n258 No \n\n Do you have roommates that are part of your major? \n0 No \n4 No \n8 No \n9 No \n13 No \n.. ... \n246 No \n247 Yes \n252 No \n255 No \n258 No \n\n[77 rows x 10 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
What is your current class standing?What is your age?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
0Senior23+NeitherHouse6Yes5 - 10Off-campusNoNo
4Graduate22NeitherApartment1Yes10 - 20Off-campusYesNo
8Junior20FriendsHouse6Yes10 - 20On-campusNoNo
9Senior22FamilyHouse5Yes1 - 5On-campusNoNo
13Junior21FamilyApartment4Yes10 - 20Off-campusNoNo
.................................
246Graduate23+FamilyHouse2Yes10 - 20On-campusYesNo
247Senior21FriendsApartment3Yes20 - 40Off-campusNoYes
252Junior20FamilyHouse5Yes20 - 40Off-campusNoNo
255Junior21FriendsHouse5Yes10 - 20On-campusNoNo
258Sophomore21FamilyApartment4Yes5 - 10On-campusNoNo
\n

77 rows × 10 columns

\n
" }, - "execution_count": 56, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -1013,307 +158,22 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 4, "id": "5fe8ec7f22878e60", "metadata": { + "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T01:01:41.427847Z", - "start_time": "2024-02-23T01:01:41.419852Z" - }, - "collapsed": false + "end_time": "2024-02-23T06:18:35.679365Z", + "start_time": "2024-02-23T06:18:35.673583Z" + } }, "outputs": [ { "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
TimestampWhat is your current class standing?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
12/9/2024 20:16:34JuniorBothApartment4No0NaNNaNYes
22/9/2024 20:18:55JuniorFriendsHouse4No0NaNNaNNo
32/9/2024 20:24:00SeniorNeitherApartment1No0NaNNaNNo
52/9/2024 20:45:09JuniorBothApartment4No0NaNNaNNo
62/9/2024 21:55:59SophomoreFriendsApartment4No0NaNNaNNo
.................................
2532/14/2024 13:45:45SeniorFamilyHouse6No0NaNNaNNo
2542/14/2024 16:26:06JuniorFamilyHouse5No0NaNNaNYes
2562/15/2024 0:28:38NaNFamilyApartment4No0NaNNaNNo
2572/15/2024 8:33:45SeniorFamilyHouse9No0Off-campusNaNNo
2592/15/2024 16:14:11SophomoreFriendsDorm3No0NaNNaNYes
\n", - "

176 rows × 10 columns

\n", - "
" - ], - "text/plain": [ - " Timestamp What is your current class standing? \\\n", - "1 2/9/2024 20:16:34 Junior \n", - "2 2/9/2024 20:18:55 Junior \n", - "3 2/9/2024 20:24:00 Senior \n", - "5 2/9/2024 20:45:09 Junior \n", - "6 2/9/2024 21:55:59 Sophomore \n", - ".. ... ... \n", - "253 2/14/2024 13:45:45 Senior \n", - "254 2/14/2024 16:26:06 Junior \n", - "256 2/15/2024 0:28:38 NaN \n", - "257 2/15/2024 8:33:45 Senior \n", - "259 2/15/2024 16:14:11 Sophomore \n", - "\n", - " Who do you live with? \\\n", - "1 Both \n", - "2 Friends \n", - "3 Neither \n", - "5 Both \n", - "6 Friends \n", - ".. ... \n", - "253 Family \n", - "254 Family \n", - "256 Family \n", - "257 Family \n", - "259 Friends \n", - "\n", - " Do you currently live in a house, apartnment, or dorm? \\\n", - "1 Apartment \n", - "2 House \n", - "3 Apartment \n", - "5 Apartment \n", - "6 Apartment \n", - ".. ... \n", - "253 House \n", - "254 House \n", - "256 Apartment \n", - "257 House \n", - "259 Dorm \n", - "\n", - " How many people live in your household? Do you currently work? \\\n", - "1 4 No \n", - "2 4 No \n", - "3 1 No \n", - "5 4 No \n", - "6 4 No \n", - ".. ... ... \n", - "253 6 No \n", - "254 5 No \n", - "256 4 No \n", - "257 9 No \n", - "259 3 No \n", - "\n", - " How many hours do you work per week on average? \\\n", - "1 0 \n", - "2 0 \n", - "3 0 \n", - "5 0 \n", - "6 0 \n", - ".. ... \n", - "253 0 \n", - "254 0 \n", - "256 0 \n", - "257 0 \n", - "259 0 \n", - "\n", - " Do you work on or off campus? \\\n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "5 NaN \n", - "6 NaN \n", - ".. ... \n", - "253 NaN \n", - "254 NaN \n", - "256 NaN \n", - "257 Off-campus \n", - "259 NaN \n", - "\n", - " Do you work in a department related to your major? \\\n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "5 NaN \n", - "6 NaN \n", - ".. ... \n", - "253 NaN \n", - "254 NaN \n", - "256 NaN \n", - "257 NaN \n", - "259 NaN \n", - "\n", - " Do you have roommates that are part of your major? \n", - "1 Yes \n", - "2 No \n", - "3 No \n", - "5 No \n", - "6 No \n", - ".. ... \n", - "253 No \n", - "254 Yes \n", - "256 No \n", - "257 No \n", - "259 Yes \n", - "\n", - "[176 rows x 10 columns]" - ] + "text/plain": " What is your current class standing? What is your age? \\\n1 Junior 20 \n2 Junior 23+ \n3 Senior 23+ \n5 Junior 21 \n6 Sophomore 19 \n.. ... ... \n253 Senior 21 \n254 Junior 19 \n256 NaN 21 \n257 Senior 21 \n259 Sophomore 18 \n\n Who do you live with? \\\n1 Both \n2 Friends \n3 Neither \n5 Both \n6 Friends \n.. ... \n253 Family \n254 Family \n256 Family \n257 Family \n259 Friends \n\n Do you currently live in a house, apartnment, or dorm? \\\n1 Apartment \n2 House \n3 Apartment \n5 Apartment \n6 Apartment \n.. ... \n253 House \n254 House \n256 Apartment \n257 House \n259 Dorm \n\n How many people live in your household? Do you currently work? \\\n1 4 No \n2 4 No \n3 1 No \n5 4 No \n6 4 No \n.. ... ... \n253 6 No \n254 5 No \n256 4 No \n257 9 No \n259 3 No \n\n How many hours do you work per week on average? \\\n1 0 \n2 0 \n3 0 \n5 0 \n6 0 \n.. ... \n253 0 \n254 0 \n256 0 \n257 0 \n259 0 \n\n Do you work on or off campus? \\\n1 NaN \n2 NaN \n3 NaN \n5 NaN \n6 NaN \n.. ... \n253 NaN \n254 NaN \n256 NaN \n257 Off-campus \n259 NaN \n\n Do you work in a department related to your major? \\\n1 NaN \n2 NaN \n3 NaN \n5 NaN \n6 NaN \n.. ... \n253 NaN \n254 NaN \n256 NaN \n257 NaN \n259 NaN \n\n Do you have roommates that are part of your major? \n1 Yes \n2 No \n3 No \n5 No \n6 No \n.. ... \n253 No \n254 Yes \n256 No \n257 No \n259 Yes \n\n[183 rows x 10 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
What is your current class standing?What is your age?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
1Junior20BothApartment4No0NaNNaNYes
2Junior23+FriendsHouse4No0NaNNaNNo
3Senior23+NeitherApartment1No0NaNNaNNo
5Junior21BothApartment4No0NaNNaNNo
6Sophomore19FriendsApartment4No0NaNNaNNo
.................................
253Senior21FamilyHouse6No0NaNNaNNo
254Junior19FamilyHouse5No0NaNNaNYes
256NaN21FamilyApartment4No0NaNNaNNo
257Senior21FamilyHouse9No0Off-campusNaNNo
259Sophomore18FriendsDorm3No0NaNNaNYes
\n

183 rows × 10 columns

\n
" }, - "execution_count": 57, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -1334,7 +194,16 @@ }, { "cell_type": "code", - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Count the number of people who work and don't work\n", "work_counts = df['Do you currently work?'].value_counts()\n", @@ -1346,13 +215,27 @@ "plt.show()" ], "metadata": { - "collapsed": false + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-02-23T06:18:35.781584Z", + "start_time": "2024-02-23T06:18:35.680024Z" + } }, - "id": "6bc50ddc195d88a" + "id": "6bc50ddc195d88a", + "execution_count": 5 }, { "cell_type": "code", - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "df_2dhist = pd.DataFrame({\n", " x_label: grp['Do you currently work?'].value_counts()\n", @@ -1366,9 +249,14 @@ "_ = plt.ylabel('Do you currently work?')" ], "metadata": { - "collapsed": false + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-02-23T06:18:36.021224Z", + "start_time": "2024-02-23T06:18:35.783111Z" + } }, - "id": "15f1e14311b1b17f" + "id": "15f1e14311b1b17f", + "execution_count": 6 }, { "cell_type": "markdown", @@ -1380,25 +268,91 @@ }, { "cell_type": "code", - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "df.groupby('Do you currently live in a house, apartnment, or dorm? ').size().plot(kind='barh',\n", " color=sns.palettes.mpl_palette(\n", " 'Dark2'))\n", - "plt.gca().spines[['top', 'right', ]].set_visible(False)\n", - "roommates_major_table = pd.crosstab(df.iloc[:, 3], df.iloc[:, 9], margins=True, margins_name='Total')\n", - "\n", - "# Print the table\n", - "print(roommates_major_table)\n" + "plt.gca().spines[['top', 'right', ]].set_visible(False)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-02-23T06:18:36.170073Z", + "start_time": "2024-02-23T06:18:36.024936Z" + } + }, + "id": "a3d9a4a3b5eba149", + "execution_count": 7 + }, + { + "cell_type": "markdown", + "source": [ + "## Hypotheses" ], "metadata": { "collapsed": false }, - "id": "2ee7f39b5d8df8de" + "id": "4df3824f641fb18b" + }, + { + "cell_type": "markdown", + "source": [ + "### Hypothesis 2: Students who live on-campus are more likely to have roommates of the same major." + ], + "metadata": { + "collapsed": false + }, + "id": "796d474b4650e712" }, { "cell_type": "code", - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": "Do you have roommates that are part of your major? No Yes Total\nDo you currently live in a house, apartnment, o... \nApartment 83 44 127\nDorm 17 11 28\nHouse 78 21 99\nRoom 1 0 1\nTotal 179 76 255", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Do you have roommates that are part of your major?NoYesTotal
Do you currently live in a house, apartnment, or dorm?
Apartment8344127
Dorm171128
House782199
Room101
Total17976255
\n
" + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "roommates_major_table = pd.crosstab(df.iloc[:, 3], df.iloc[:, 9], margins=True, margins_name='Total')\n", + "roommates_major_table" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-02-23T06:18:36.201284Z", + "start_time": "2024-02-23T06:18:36.179437Z" + } + }, + "id": "2ee7f39b5d8df8de", + "execution_count": 8 + }, + { + "cell_type": "code", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Chi-squared Value: 6.54402786926266\n", + "Degrees of Freedom: 8\n" + ] + } + ], "source": [ "# Extract the observed values from the contingency table\n", "observed_values = roommates_major_table.iloc[:-1, :-1].values\n", @@ -1417,12 +371,17 @@ "degrees_of_freedom = (roommates_major_table.shape[0] - 1) * (roommates_major_table.shape[1] - 1)\n", "\n", "# Print results\n", - "print(f\"Chi-squared Value: {chi2_statistic}\\nDegrees of Freedom: {degrees_of_freedom}\")\n" + "print(f\"Chi-squared Value: {chi2_statistic}\\nDegrees of Freedom: {degrees_of_freedom}\")" ], "metadata": { - "collapsed": false + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-02-23T06:18:36.219063Z", + "start_time": "2024-02-23T06:18:36.205767Z" + } }, - "id": "957406c164cf2ef1" + "id": "957406c164cf2ef1", + "execution_count": 9 } ], "metadata": { -- cgit v1.2.3 From a29f4fe7e73661e347074fd05de52dc2c6414622 Mon Sep 17 00:00:00 2001 From: Alex Zhang Date: Thu, 22 Feb 2024 22:55:50 -0800 Subject: Adds histogram --- CS105MiniProject.ipynb | 110 +++++++++++++++++++++++++++++++++---------------- 1 file changed, 75 insertions(+), 35 deletions(-) (limited to 'CS105MiniProject.ipynb') diff --git a/CS105MiniProject.ipynb b/CS105MiniProject.ipynb index 0663bc0..b8d92b8 100644 --- a/CS105MiniProject.ipynb +++ b/CS105MiniProject.ipynb @@ -36,15 +36,15 @@ "id": "daa13044", "outputId": "4d440aaa-1ee7-4771-c526-f55e9458ca8a", "ExecuteTime": { - "end_time": "2024-02-23T06:18:35.652667Z", - "start_time": "2024-02-23T06:18:35.617295Z" + "end_time": "2024-02-23T06:53:02.933496Z", + "start_time": "2024-02-23T06:53:02.907444Z" } }, "outputs": [ { "data": { - "text/plain": " What is your current class standing? What is your age? \\\n0 Senior 23+ \n1 Junior 20 \n2 Junior 23+ \n3 Senior 23+ \n4 Graduate 22 \n.. ... ... \n255 Junior 21 \n256 NaN 21 \n257 Senior 21 \n258 Sophomore 21 \n259 Sophomore 18 \n\n Who do you live with? \\\n0 Neither \n1 Both \n2 Friends \n3 Neither \n4 Neither \n.. ... \n255 Friends \n256 Family \n257 Family \n258 Family \n259 Friends \n\n Do you currently live in a house, apartnment, or dorm? \\\n0 House \n1 Apartment \n2 House \n3 Apartment \n4 Apartment \n.. ... \n255 House \n256 Apartment \n257 House \n258 Apartment \n259 Dorm \n\n How many people live in your household? Do you currently work? \\\n0 6 Yes \n1 4 No \n2 4 No \n3 1 No \n4 1 Yes \n.. ... ... \n255 5 Yes \n256 North District 4 bed 2 bath No \n257 9 No \n258 4 Yes \n259 3 (room), 8 (hall), ~70 (building) No \n\n How many hours do you work per week on average? \\\n0 5 - 10 \n1 NaN \n2 NaN \n3 NaN \n4 10 - 20 \n.. ... \n255 10 - 20 \n256 NaN \n257 1 - 5 \n258 5 - 10 \n259 NaN \n\n Do you work on or off campus? \\\n0 Off-campus \n1 NaN \n2 NaN \n3 NaN \n4 Off-campus \n.. ... \n255 On-campus \n256 NaN \n257 Off-campus \n258 On-campus \n259 NaN \n\n Do you work in a department related to your major? \\\n0 No \n1 NaN \n2 NaN \n3 No \n4 Yes \n.. ... \n255 No \n256 NaN \n257 No \n258 No \n259 NaN \n\n Do you have roommates that are part of your major? \n0 No \n1 Yes \n2 No \n3 No \n4 No \n.. ... \n255 No \n256 No \n257 No \n258 No \n259 Yes \n\n[260 rows x 10 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
What is your current class standing?What is your age?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
0Senior23+NeitherHouse6Yes5 - 10Off-campusNoNo
1Junior20BothApartment4NoNaNNaNNaNYes
2Junior23+FriendsHouse4NoNaNNaNNaNNo
3Senior23+NeitherApartment1NoNaNNaNNoNo
4Graduate22NeitherApartment1Yes10 - 20Off-campusYesNo
.................................
255Junior21FriendsHouse5Yes10 - 20On-campusNoNo
256NaN21FamilyApartmentNorth District 4 bed 2 bathNoNaNNaNNaNNo
257Senior21FamilyHouse9No1 - 5Off-campusNoNo
258Sophomore21FamilyApartment4Yes5 - 10On-campusNoNo
259Sophomore18FriendsDorm3 (room), 8 (hall), ~70 (building)NoNaNNaNNaNYes
\n

260 rows × 10 columns

\n
" + "text/plain": " What is your current class standing? What is your age? \\\n0 Senior 23+ \n1 Junior 20 \n2 Junior 23+ \n3 Senior 23+ \n4 Graduate 22 \n.. ... ... \n255 Junior 21 \n256 NaN 21 \n257 Senior 21 \n258 Sophomore 21 \n259 Sophomore 18 \n\n Who do you live with? \\\n0 Neither \n1 Both \n2 Friends \n3 Neither \n4 Neither \n.. ... \n255 Friends \n256 Family \n257 Family \n258 Family \n259 Friends \n\n Do you currently live in a house, apartnment, or dorm? \\\n0 House \n1 Apartment \n2 House \n3 Apartment \n4 Apartment \n.. ... \n255 House \n256 Apartment \n257 House \n258 Apartment \n259 Dorm \n\n How many people live in your household? \\\n0 6 \n1 4 \n2 4 \n3 1 \n4 1 \n.. ... \n255 5 \n256 North District 4 bed 2 bath \n257 9 \n258 4 \n259 3 (room), 8 (hall), ~70 (building) \n\n What was your GPA your very first quarter at UCR? Do you currently work? \\\n0 2.73 Yes \n1 3.7 No \n2 3.75 No \n3 3.81 No \n4 3.23 Yes \n.. ... ... \n255 4 Yes \n256 3.5 No \n257 3.7 No \n258 3 Yes \n259 4 No \n\n How many hours do you work per week on average? \\\n0 5 - 10 \n1 NaN \n2 NaN \n3 NaN \n4 10 - 20 \n.. ... \n255 10 - 20 \n256 NaN \n257 1 - 5 \n258 5 - 10 \n259 NaN \n\n Do you work on or off campus? \\\n0 Off-campus \n1 NaN \n2 NaN \n3 NaN \n4 Off-campus \n.. ... \n255 On-campus \n256 NaN \n257 Off-campus \n258 On-campus \n259 NaN \n\n Do you work in a department related to your major? \\\n0 No \n1 NaN \n2 NaN \n3 No \n4 Yes \n.. ... \n255 No \n256 NaN \n257 No \n258 No \n259 NaN \n\n Do you have roommates that are part of your major? \n0 No \n1 Yes \n2 No \n3 No \n4 No \n.. ... \n255 No \n256 No \n257 No \n258 No \n259 Yes \n\n[260 rows x 11 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
What is your current class standing?What is your age?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?What was your GPA your very first quarter at UCR?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
0Senior23+NeitherHouse62.73Yes5 - 10Off-campusNoNo
1Junior20BothApartment43.7NoNaNNaNNaNYes
2Junior23+FriendsHouse43.75NoNaNNaNNaNNo
3Senior23+NeitherApartment13.81NoNaNNaNNoNo
4Graduate22NeitherApartment13.23Yes10 - 20Off-campusYesNo
....................................
255Junior21FriendsHouse54Yes10 - 20On-campusNoNo
256NaN21FamilyApartmentNorth District 4 bed 2 bath3.5NoNaNNaNNaNNo
257Senior21FamilyHouse93.7No1 - 5Off-campusNoNo
258Sophomore21FamilyApartment43Yes5 - 10On-campusNoNo
259Sophomore18FriendsDorm3 (room), 8 (hall), ~70 (building)4NoNaNNaNNaNYes
\n

260 rows × 11 columns

\n
" }, "execution_count": 1, "metadata": {}, @@ -63,7 +63,7 @@ "df = pd.read_csv(\"data.csv\")\n", "\n", "# Select relevant columns\n", - "df = df.iloc[:, [2, 3, 7, 8, 9, 58, 59, 60, 61, 26]]\n", + "df = df.iloc[:, [2, 3, 7, 8, 9, 34, 58, 59, 60, 61, 26]]\n", "df" ] }, @@ -84,15 +84,15 @@ "metadata": { "id": "29889175", "ExecuteTime": { - "end_time": "2024-02-23T06:18:35.665240Z", - "start_time": "2024-02-23T06:18:35.654717Z" + "end_time": "2024-02-23T06:53:02.952629Z", + "start_time": "2024-02-23T06:53:02.936631Z" } }, "outputs": [ { "data": { - "text/plain": " What is your current class standing? What is your age? \\\n0 Senior 23+ \n1 Junior 20 \n2 Junior 23+ \n3 Senior 23+ \n4 Graduate 22 \n.. ... ... \n255 Junior 21 \n256 NaN 21 \n257 Senior 21 \n258 Sophomore 21 \n259 Sophomore 18 \n\n Who do you live with? \\\n0 Neither \n1 Both \n2 Friends \n3 Neither \n4 Neither \n.. ... \n255 Friends \n256 Family \n257 Family \n258 Family \n259 Friends \n\n Do you currently live in a house, apartnment, or dorm? \\\n0 House \n1 Apartment \n2 House \n3 Apartment \n4 Apartment \n.. ... \n255 House \n256 Apartment \n257 House \n258 Apartment \n259 Dorm \n\n How many people live in your household? Do you currently work? \\\n0 6 Yes \n1 4 No \n2 4 No \n3 1 No \n4 1 Yes \n.. ... ... \n255 5 Yes \n256 4 No \n257 9 No \n258 4 Yes \n259 3 No \n\n How many hours do you work per week on average? \\\n0 5 - 10 \n1 0 \n2 0 \n3 0 \n4 10 - 20 \n.. ... \n255 10 - 20 \n256 0 \n257 0 \n258 5 - 10 \n259 0 \n\n Do you work on or off campus? \\\n0 Off-campus \n1 NaN \n2 NaN \n3 NaN \n4 Off-campus \n.. ... \n255 On-campus \n256 NaN \n257 Off-campus \n258 On-campus \n259 NaN \n\n Do you work in a department related to your major? \\\n0 No \n1 NaN \n2 NaN \n3 NaN \n4 Yes \n.. ... \n255 No \n256 NaN \n257 NaN \n258 No \n259 NaN \n\n Do you have roommates that are part of your major? \n0 No \n1 Yes \n2 No \n3 No \n4 No \n.. ... \n255 No \n256 No \n257 No \n258 No \n259 Yes \n\n[260 rows x 10 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
What is your current class standing?What is your age?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
0Senior23+NeitherHouse6Yes5 - 10Off-campusNoNo
1Junior20BothApartment4No0NaNNaNYes
2Junior23+FriendsHouse4No0NaNNaNNo
3Senior23+NeitherApartment1No0NaNNaNNo
4Graduate22NeitherApartment1Yes10 - 20Off-campusYesNo
.................................
255Junior21FriendsHouse5Yes10 - 20On-campusNoNo
256NaN21FamilyApartment4No0NaNNaNNo
257Senior21FamilyHouse9No0Off-campusNaNNo
258Sophomore21FamilyApartment4Yes5 - 10On-campusNoNo
259Sophomore18FriendsDorm3No0NaNNaNYes
\n

260 rows × 10 columns

\n
" + "text/plain": " What is your current class standing? What is your age? \\\n0 Senior 23+ \n1 Junior 20 \n2 Junior 23+ \n3 Senior 23+ \n4 Graduate 22 \n.. ... ... \n255 Junior 21 \n256 NaN 21 \n257 Senior 21 \n258 Sophomore 21 \n259 Sophomore 18 \n\n Who do you live with? \\\n0 Neither \n1 Both \n2 Friends \n3 Neither \n4 Neither \n.. ... \n255 Friends \n256 Family \n257 Family \n258 Family \n259 Friends \n\n Do you currently live in a house, apartnment, or dorm? \\\n0 House \n1 Apartment \n2 House \n3 Apartment \n4 Apartment \n.. ... \n255 House \n256 Apartment \n257 House \n258 Apartment \n259 Dorm \n\n How many people live in your household? \\\n0 6 \n1 4 \n2 4 \n3 1 \n4 1 \n.. ... \n255 5 \n256 4 \n257 9 \n258 4 \n259 3 \n\n What was your GPA your very first quarter at UCR? Do you currently work? \\\n0 2.73 Yes \n1 3.70 No \n2 3.75 No \n3 3.81 No \n4 3.23 Yes \n.. ... ... \n255 4.00 Yes \n256 3.50 No \n257 3.70 No \n258 3.00 Yes \n259 4.00 No \n\n How many hours do you work per week on average? \\\n0 5 - 10 \n1 0 \n2 0 \n3 0 \n4 10 - 20 \n.. ... \n255 10 - 20 \n256 0 \n257 0 \n258 5 - 10 \n259 0 \n\n Do you work on or off campus? \\\n0 Off-campus \n1 NaN \n2 NaN \n3 NaN \n4 Off-campus \n.. ... \n255 On-campus \n256 NaN \n257 Off-campus \n258 On-campus \n259 NaN \n\n Do you work in a department related to your major? \\\n0 No \n1 NaN \n2 NaN \n3 NaN \n4 Yes \n.. ... \n255 No \n256 NaN \n257 NaN \n258 No \n259 NaN \n\n Do you have roommates that are part of your major? \n0 No \n1 Yes \n2 No \n3 No \n4 No \n.. ... \n255 No \n256 No \n257 No \n258 No \n259 Yes \n\n[260 rows x 11 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
What is your current class standing?What is your age?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?What was your GPA your very first quarter at UCR?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
0Senior23+NeitherHouse62.73Yes5 - 10Off-campusNoNo
1Junior20BothApartment43.70No0NaNNaNYes
2Junior23+FriendsHouse43.75No0NaNNaNNo
3Senior23+NeitherApartment13.81No0NaNNaNNo
4Graduate22NeitherApartment13.23Yes10 - 20Off-campusYesNo
....................................
255Junior21FriendsHouse54.00Yes10 - 20On-campusNoNo
256NaN21FamilyApartment43.50No0NaNNaNNo
257Senior21FamilyHouse93.70No0Off-campusNaNNo
258Sophomore21FamilyApartment43.00Yes5 - 10On-campusNoNo
259Sophomore18FriendsDorm34.00No0NaNNaNYes
\n

260 rows × 11 columns

\n
" }, "execution_count": 2, "metadata": {}, @@ -119,6 +119,19 @@ "df['Do you currently live in a house, apartnment, or dorm? '] = (\n", " df['Do you currently live in a house, apartnment, or dorm? ']\n", " .replace('house (renting)', 'House'))\n", + "\n", + "df.loc[df['What was your GPA your very first quarter at UCR?'].str.contains(\n", + " \"I am not sure|idk|I don't know|This is my first quarter|i don't rem|not sure|I never checked. |I dont know\") == True, 'What was your GPA your very first quarter at UCR?'] = np.nan\n", + "df['What was your GPA your very first quarter at UCR?'] = (\n", + " df['What was your GPA your very first quarter at UCR?']\n", + " .replace('Idk, I think 3.2 or something along those lines', '3.2')\n", + " .replace('2.8?', '2.8')\n", + " .replace('3 point something', '3.0')\n", + " .replace('3.67 I think', '3.67')\n", + " .replace('3.0?', '3.0')\n", + " .replace('about 3.0', '3.0')\n", + " .astype(np.float64))\n", + "\n", "# Normalizes non-applicable answers\n", "df.loc[df['Do you currently work?'] == 'No', 'How many hours do you work per week on average?'] = 0\n", "df.loc[df['Do you currently work?'] == 'No', 'Do you work in a department related to your major?'] = np.nan\n", @@ -133,15 +146,15 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T06:18:35.672377Z", - "start_time": "2024-02-23T06:18:35.665944Z" + "end_time": "2024-02-23T06:53:02.965372Z", + "start_time": "2024-02-23T06:53:02.954441Z" } }, "outputs": [ { "data": { - "text/plain": " What is your current class standing? What is your age? \\\n0 Senior 23+ \n4 Graduate 22 \n8 Junior 20 \n9 Senior 22 \n13 Junior 21 \n.. ... ... \n246 Graduate 23+ \n247 Senior 21 \n252 Junior 20 \n255 Junior 21 \n258 Sophomore 21 \n\n Who do you live with? \\\n0 Neither \n4 Neither \n8 Friends \n9 Family \n13 Family \n.. ... \n246 Family \n247 Friends \n252 Family \n255 Friends \n258 Family \n\n Do you currently live in a house, apartnment, or dorm? \\\n0 House \n4 Apartment \n8 House \n9 House \n13 Apartment \n.. ... \n246 House \n247 Apartment \n252 House \n255 House \n258 Apartment \n\n How many people live in your household? Do you currently work? \\\n0 6 Yes \n4 1 Yes \n8 6 Yes \n9 5 Yes \n13 4 Yes \n.. ... ... \n246 2 Yes \n247 3 Yes \n252 5 Yes \n255 5 Yes \n258 4 Yes \n\n How many hours do you work per week on average? \\\n0 5 - 10 \n4 10 - 20 \n8 10 - 20 \n9 1 - 5 \n13 10 - 20 \n.. ... \n246 10 - 20 \n247 20 - 40 \n252 20 - 40 \n255 10 - 20 \n258 5 - 10 \n\n Do you work on or off campus? \\\n0 Off-campus \n4 Off-campus \n8 On-campus \n9 On-campus \n13 Off-campus \n.. ... \n246 On-campus \n247 Off-campus \n252 Off-campus \n255 On-campus \n258 On-campus \n\n Do you work in a department related to your major? \\\n0 No \n4 Yes \n8 No \n9 No \n13 No \n.. ... \n246 Yes \n247 No \n252 No \n255 No \n258 No \n\n Do you have roommates that are part of your major? \n0 No \n4 No \n8 No \n9 No \n13 No \n.. ... \n246 No \n247 Yes \n252 No \n255 No \n258 No \n\n[77 rows x 10 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
What is your current class standing?What is your age?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
0Senior23+NeitherHouse6Yes5 - 10Off-campusNoNo
4Graduate22NeitherApartment1Yes10 - 20Off-campusYesNo
8Junior20FriendsHouse6Yes10 - 20On-campusNoNo
9Senior22FamilyHouse5Yes1 - 5On-campusNoNo
13Junior21FamilyApartment4Yes10 - 20Off-campusNoNo
.................................
246Graduate23+FamilyHouse2Yes10 - 20On-campusYesNo
247Senior21FriendsApartment3Yes20 - 40Off-campusNoYes
252Junior20FamilyHouse5Yes20 - 40Off-campusNoNo
255Junior21FriendsHouse5Yes10 - 20On-campusNoNo
258Sophomore21FamilyApartment4Yes5 - 10On-campusNoNo
\n

77 rows × 10 columns

\n
" + "text/plain": " What is your current class standing? What is your age? \\\n0 Senior 23+ \n4 Graduate 22 \n8 Junior 20 \n9 Senior 22 \n13 Junior 21 \n.. ... ... \n246 Graduate 23+ \n247 Senior 21 \n252 Junior 20 \n255 Junior 21 \n258 Sophomore 21 \n\n Who do you live with? \\\n0 Neither \n4 Neither \n8 Friends \n9 Family \n13 Family \n.. ... \n246 Family \n247 Friends \n252 Family \n255 Friends \n258 Family \n\n Do you currently live in a house, apartnment, or dorm? \\\n0 House \n4 Apartment \n8 House \n9 House \n13 Apartment \n.. ... \n246 House \n247 Apartment \n252 House \n255 House \n258 Apartment \n\n How many people live in your household? \\\n0 6 \n4 1 \n8 6 \n9 5 \n13 4 \n.. ... \n246 2 \n247 3 \n252 5 \n255 5 \n258 4 \n\n What was your GPA your very first quarter at UCR? Do you currently work? \\\n0 2.73 Yes \n4 3.23 Yes \n8 3.40 Yes \n9 NaN Yes \n13 3.50 Yes \n.. ... ... \n246 4.00 Yes \n247 3.60 Yes \n252 3.50 Yes \n255 4.00 Yes \n258 3.00 Yes \n\n How many hours do you work per week on average? \\\n0 5 - 10 \n4 10 - 20 \n8 10 - 20 \n9 1 - 5 \n13 10 - 20 \n.. ... \n246 10 - 20 \n247 20 - 40 \n252 20 - 40 \n255 10 - 20 \n258 5 - 10 \n\n Do you work on or off campus? \\\n0 Off-campus \n4 Off-campus \n8 On-campus \n9 On-campus \n13 Off-campus \n.. ... \n246 On-campus \n247 Off-campus \n252 Off-campus \n255 On-campus \n258 On-campus \n\n Do you work in a department related to your major? \\\n0 No \n4 Yes \n8 No \n9 No \n13 No \n.. ... \n246 Yes \n247 No \n252 No \n255 No \n258 No \n\n Do you have roommates that are part of your major? \n0 No \n4 No \n8 No \n9 No \n13 No \n.. ... \n246 No \n247 Yes \n252 No \n255 No \n258 No \n\n[77 rows x 11 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
What is your current class standing?What is your age?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?What was your GPA your very first quarter at UCR?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
0Senior23+NeitherHouse62.73Yes5 - 10Off-campusNoNo
4Graduate22NeitherApartment13.23Yes10 - 20Off-campusYesNo
8Junior20FriendsHouse63.40Yes10 - 20On-campusNoNo
9Senior22FamilyHouse5NaNYes1 - 5On-campusNoNo
13Junior21FamilyApartment43.50Yes10 - 20Off-campusNoNo
....................................
246Graduate23+FamilyHouse24.00Yes10 - 20On-campusYesNo
247Senior21FriendsApartment33.60Yes20 - 40Off-campusNoYes
252Junior20FamilyHouse53.50Yes20 - 40Off-campusNoNo
255Junior21FriendsHouse54.00Yes10 - 20On-campusNoNo
258Sophomore21FamilyApartment43.00Yes5 - 10On-campusNoNo
\n

77 rows × 11 columns

\n
" }, "execution_count": 3, "metadata": {}, @@ -163,15 +176,15 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T06:18:35.679365Z", - "start_time": "2024-02-23T06:18:35.673583Z" + "end_time": "2024-02-23T06:53:02.975332Z", + "start_time": "2024-02-23T06:53:02.968284Z" } }, "outputs": [ { "data": { - "text/plain": " What is your current class standing? What is your age? \\\n1 Junior 20 \n2 Junior 23+ \n3 Senior 23+ \n5 Junior 21 \n6 Sophomore 19 \n.. ... ... \n253 Senior 21 \n254 Junior 19 \n256 NaN 21 \n257 Senior 21 \n259 Sophomore 18 \n\n Who do you live with? \\\n1 Both \n2 Friends \n3 Neither \n5 Both \n6 Friends \n.. ... \n253 Family \n254 Family \n256 Family \n257 Family \n259 Friends \n\n Do you currently live in a house, apartnment, or dorm? \\\n1 Apartment \n2 House \n3 Apartment \n5 Apartment \n6 Apartment \n.. ... \n253 House \n254 House \n256 Apartment \n257 House \n259 Dorm \n\n How many people live in your household? Do you currently work? \\\n1 4 No \n2 4 No \n3 1 No \n5 4 No \n6 4 No \n.. ... ... \n253 6 No \n254 5 No \n256 4 No \n257 9 No \n259 3 No \n\n How many hours do you work per week on average? \\\n1 0 \n2 0 \n3 0 \n5 0 \n6 0 \n.. ... \n253 0 \n254 0 \n256 0 \n257 0 \n259 0 \n\n Do you work on or off campus? \\\n1 NaN \n2 NaN \n3 NaN \n5 NaN \n6 NaN \n.. ... \n253 NaN \n254 NaN \n256 NaN \n257 Off-campus \n259 NaN \n\n Do you work in a department related to your major? \\\n1 NaN \n2 NaN \n3 NaN \n5 NaN \n6 NaN \n.. ... \n253 NaN \n254 NaN \n256 NaN \n257 NaN \n259 NaN \n\n Do you have roommates that are part of your major? \n1 Yes \n2 No \n3 No \n5 No \n6 No \n.. ... \n253 No \n254 Yes \n256 No \n257 No \n259 Yes \n\n[183 rows x 10 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
What is your current class standing?What is your age?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
1Junior20BothApartment4No0NaNNaNYes
2Junior23+FriendsHouse4No0NaNNaNNo
3Senior23+NeitherApartment1No0NaNNaNNo
5Junior21BothApartment4No0NaNNaNNo
6Sophomore19FriendsApartment4No0NaNNaNNo
.................................
253Senior21FamilyHouse6No0NaNNaNNo
254Junior19FamilyHouse5No0NaNNaNYes
256NaN21FamilyApartment4No0NaNNaNNo
257Senior21FamilyHouse9No0Off-campusNaNNo
259Sophomore18FriendsDorm3No0NaNNaNYes
\n

183 rows × 10 columns

\n
" + "text/plain": " What is your current class standing? What is your age? \\\n1 Junior 20 \n2 Junior 23+ \n3 Senior 23+ \n5 Junior 21 \n6 Sophomore 19 \n.. ... ... \n253 Senior 21 \n254 Junior 19 \n256 NaN 21 \n257 Senior 21 \n259 Sophomore 18 \n\n Who do you live with? \\\n1 Both \n2 Friends \n3 Neither \n5 Both \n6 Friends \n.. ... \n253 Family \n254 Family \n256 Family \n257 Family \n259 Friends \n\n Do you currently live in a house, apartnment, or dorm? \\\n1 Apartment \n2 House \n3 Apartment \n5 Apartment \n6 Apartment \n.. ... \n253 House \n254 House \n256 Apartment \n257 House \n259 Dorm \n\n How many people live in your household? \\\n1 4 \n2 4 \n3 1 \n5 4 \n6 4 \n.. ... \n253 6 \n254 5 \n256 4 \n257 9 \n259 3 \n\n What was your GPA your very first quarter at UCR? Do you currently work? \\\n1 3.70 No \n2 3.75 No \n3 3.81 No \n5 4.00 No \n6 4.00 No \n.. ... ... \n253 4.00 No \n254 3.80 No \n256 3.50 No \n257 3.70 No \n259 4.00 No \n\n How many hours do you work per week on average? \\\n1 0 \n2 0 \n3 0 \n5 0 \n6 0 \n.. ... \n253 0 \n254 0 \n256 0 \n257 0 \n259 0 \n\n Do you work on or off campus? \\\n1 NaN \n2 NaN \n3 NaN \n5 NaN \n6 NaN \n.. ... \n253 NaN \n254 NaN \n256 NaN \n257 Off-campus \n259 NaN \n\n Do you work in a department related to your major? \\\n1 NaN \n2 NaN \n3 NaN \n5 NaN \n6 NaN \n.. ... \n253 NaN \n254 NaN \n256 NaN \n257 NaN \n259 NaN \n\n Do you have roommates that are part of your major? \n1 Yes \n2 No \n3 No \n5 No \n6 No \n.. ... \n253 No \n254 Yes \n256 No \n257 No \n259 Yes \n\n[183 rows x 11 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
What is your current class standing?What is your age?Who do you live with?Do you currently live in a house, apartnment, or dorm?How many people live in your household?What was your GPA your very first quarter at UCR?Do you currently work?How many hours do you work per week on average?Do you work on or off campus?Do you work in a department related to your major?Do you have roommates that are part of your major?
1Junior20BothApartment43.70No0NaNNaNYes
2Junior23+FriendsHouse43.75No0NaNNaNNo
3Senior23+NeitherApartment13.81No0NaNNaNNo
5Junior21BothApartment44.00No0NaNNaNNo
6Sophomore19FriendsApartment44.00No0NaNNaNNo
....................................
253Senior21FamilyHouse64.00No0NaNNaNNo
254Junior19FamilyHouse53.80No0NaNNaNYes
256NaN21FamilyApartment43.50No0NaNNaNNo
257Senior21FamilyHouse93.70No0Off-campusNaNNo
259Sophomore18FriendsDorm34.00No0NaNNaNYes
\n

183 rows × 11 columns

\n
" }, "execution_count": 4, "metadata": {}, @@ -217,8 +230,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T06:18:35.781584Z", - "start_time": "2024-02-23T06:18:35.680024Z" + "end_time": "2024-02-23T06:53:03.191673Z", + "start_time": "2024-02-23T06:53:02.976617Z" } }, "id": "6bc50ddc195d88a", @@ -251,8 +264,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T06:18:36.021224Z", - "start_time": "2024-02-23T06:18:35.783111Z" + "end_time": "2024-02-23T06:53:03.404019Z", + "start_time": "2024-02-23T06:53:03.194598Z" } }, "id": "15f1e14311b1b17f", @@ -287,13 +300,40 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T06:18:36.170073Z", - "start_time": "2024-02-23T06:18:36.024936Z" + "end_time": "2024-02-23T06:53:03.516283Z", + "start_time": "2024-02-23T06:53:03.408298Z" } }, "id": "a3d9a4a3b5eba149", "execution_count": 7 }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dataTable1 = pd.pivot_table(data=df, values='What was your GPA your very first quarter at UCR?',\n", + " index='How many hours do you work per week on average?', aggfunc='mean')\n", + "_ = dataTable1.plot(kind='bar')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-02-23T06:53:03.640403Z", + "start_time": "2024-02-23T06:53:03.518082Z" + } + }, + "id": "36727f07413da341", + "execution_count": 8 + }, { "cell_type": "markdown", "source": [ @@ -319,10 +359,10 @@ "outputs": [ { "data": { - "text/plain": "Do you have roommates that are part of your major? No Yes Total\nDo you currently live in a house, apartnment, o... \nApartment 83 44 127\nDorm 17 11 28\nHouse 78 21 99\nRoom 1 0 1\nTotal 179 76 255", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Do you have roommates that are part of your major?NoYesTotal
Do you currently live in a house, apartnment, or dorm?
Apartment8344127
Dorm171128
House782199
Room101
Total17976255
\n
" + "text/plain": "Do you work in a department related to your major? No Yes Total\nDo you currently live in a house, apartnment, o... \nApartment 22 16 38\nDorm 4 1 5\nHouse 27 7 34\nTotal 53 24 77", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Do you work in a department related to your major?NoYesTotal
Do you currently live in a house, apartnment, or dorm?
Apartment221638
Dorm415
House27734
Total532477
\n
" }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -334,12 +374,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T06:18:36.201284Z", - "start_time": "2024-02-23T06:18:36.179437Z" + "end_time": "2024-02-23T06:53:03.657146Z", + "start_time": "2024-02-23T06:53:03.642872Z" } }, "id": "2ee7f39b5d8df8de", - "execution_count": 8 + "execution_count": 9 }, { "cell_type": "code", @@ -348,8 +388,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Chi-squared Value: 6.54402786926266\n", - "Degrees of Freedom: 8\n" + "Chi-squared Value: 4.183390044200403\n", + "Degrees of Freedom: 6\n" ] } ], @@ -365,7 +405,7 @@ "expected_values = np.outer(row_totals, col_totals) / total\n", "\n", "# Calculate chi-squared statistic\n", - "chi2_statistic = np.sum((observed_values - expected_values)**2 / expected_values)\n", + "chi2_statistic = np.sum((observed_values - expected_values) ** 2 / expected_values)\n", "\n", "# Degrees of freedom\n", "degrees_of_freedom = (roommates_major_table.shape[0] - 1) * (roommates_major_table.shape[1] - 1)\n", @@ -376,12 +416,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-02-23T06:18:36.219063Z", - "start_time": "2024-02-23T06:18:36.205767Z" + "end_time": "2024-02-23T06:53:03.664072Z", + "start_time": "2024-02-23T06:53:03.659800Z" } }, "id": "957406c164cf2ef1", - "execution_count": 9 + "execution_count": 10 } ], "metadata": { -- cgit v1.2.3