{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "daa13044", "metadata": { "id": "daa13044", "outputId": "4d440aaa-1ee7-4771-c526-f55e9458ca8a", "colab": { "base_uri": "https://localhost:8080/", "height": 614 }, "ExecuteTime": { "end_time": "2024-02-16T00:42:12.437369Z", "start_time": "2024-02-16T00:42:11.755307Z" } }, "outputs": [ { "data": { "text/plain": " Timestamp What gender do you identify as? \\\n0 2/9/2024 20:12:14 Male \n1 2/9/2024 20:16:34 Female \n2 2/9/2024 20:18:55 Female \n3 2/9/2024 20:24:00 Male \n4 2/9/2024 20:26:16 Male \n.. ... ... \n255 2/14/2024 19:46:28 Male \n256 2/15/2024 0:28:38 Male \n257 2/15/2024 8:33:45 Male \n258 2/15/2024 16:10:40 Female \n259 2/15/2024 16:14:11 Female \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 gender do you identify as?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 20:12:14MaleNeitherHouse6Yes5 - 10Off-campusNoNo
12/9/2024 20:16:34FemaleBothApartment4NoNaNNaNNaNYes
22/9/2024 20:18:55FemaleFriendsHouse4NoNaNNaNNaNNo
32/9/2024 20:24:00MaleNeitherApartment1NoNaNNaNNoNo
42/9/2024 20:26:16MaleNeitherApartment1Yes10 - 20Off-campusYesNo
.................................
2552/14/2024 19:46:28MaleFriendsHouse5Yes10 - 20On-campusNoNo
2562/15/2024 0:28:38MaleFamilyApartmentNorth District 4 bed 2 bathNoNaNNaNNaNNo
2572/15/2024 8:33:45MaleFamilyHouse9No1 - 5Off-campusNoNo
2582/15/2024 16:10:40FemaleFamilyApartment4Yes5 - 10On-campusNoNo
2592/15/2024 16:14:11FemaleFriendsDorm3 (room), 8 (hall), ~70 (building)NoNaNNaNNaNYes
\n

260 rows × 10 columns

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" }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%matplotlib inline\n", "import pandas as pd\n", "import numpy as np\n", "\n", "df = pd.read_csv(\"data.csv\")\n", "df = df.iloc[:, [0, 5, 7, 8, 9, 58, 59, 60, 61, 26]]\n", "df" ] }, { "cell_type": "code", "execution_count": 1, "id": "29889175", "metadata": { "id": "29889175", "ExecuteTime": { "end_time": "2024-02-16T00:42:12.440256Z", "start_time": "2024-02-16T00:42:12.438587Z" } }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.5" }, "colab": { "provenance": [] } }, "nbformat": 4, "nbformat_minor": 5 }