Changes name to data.csv

1 files changed, 71 insertions, 417 deletions

diff --git a/CS105MiniProject.ipynb b/CS105MiniProject.ipynb
index 495a644..4935969 100644
--- a/CS105MiniProject.ipynb
+++ b/CS105MiniProject.ipynb
@@ -1,422 +1,76 @@
 {
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-        "outputId": "4d440aaa-1ee7-4771-c526-f55e9458ca8a",
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 614
-        }
-      },
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "              Timestamp What gender do you identify as?  \\\n",
-              "0     2/9/2024 20:12:14                            Male   \n",
-              "1     2/9/2024 20:16:34                          Female   \n",
-              "2     2/9/2024 20:18:55                          Female   \n",
-              "3     2/9/2024 20:24:00                            Male   \n",
-              "4     2/9/2024 20:26:16                            Male   \n",
-              "..                  ...                             ...   \n",
-              "255  2/14/2024 19:46:28                            Male   \n",
-              "256   2/15/2024 0:28:38                            Male   \n",
-              "257   2/15/2024 8:33:45                            Male   \n",
-              "258  2/15/2024 16:10:40                          Female   \n",
-              "259  2/15/2024 16:14:11                          Female   \n",
-              "\n",
-              "    Who do you live with?  How many people live in your household?  \n",
-              "0                  Neither                                       6  \n",
-              "1                     Both                                       4  \n",
-              "2                  Friends                                       4  \n",
-              "3                  Neither                                       1  \n",
-              "4                  Neither                                       1  \n",
-              "..                     ...                                     ...  \n",
-              "255                Friends                                       5  \n",
-              "256                 Family             North District 4 bed 2 bath  \n",
-              "257                 Family                                       9  \n",
-              "258                 Family                                       4  \n",
-              "259                Friends      3 (room), 8 (hall), ~70 (building)  \n",
-              "\n",
-              "[260 rows x 4 columns]"
-            ],
-            "text/html": [
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-              "<style scoped>\n",
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-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>Timestamp</th>\n",
-              "      <th>What gender do you identify as?</th>\n",
-              "      <th>Who do you live with?</th>\n",
-              "      <th>How many people live in your household?</th>\n",
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-              "    <tr>\n",
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-              "      <td>2/9/2024 20:12:14</td>\n",
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-              "      <th>1</th>\n",
-              "      <td>2/9/2024 20:16:34</td>\n",
-              "      <td>Female</td>\n",
-              "      <td>Both</td>\n",
-              "      <td>4</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2</th>\n",
-              "      <td>2/9/2024 20:18:55</td>\n",
-              "      <td>Female</td>\n",
-              "      <td>Friends</td>\n",
-              "      <td>4</td>\n",
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-              "    <tr>\n",
-              "      <th>3</th>\n",
-              "      <td>2/9/2024 20:24:00</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>Neither</td>\n",
-              "      <td>1</td>\n",
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-              "    <tr>\n",
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-              "      <td>2/9/2024 20:26:16</td>\n",
-              "      <td>Male</td>\n",
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-              "      <td>1</td>\n",
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-              "      <th>255</th>\n",
-              "      <td>2/14/2024 19:46:28</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>Friends</td>\n",
-              "      <td>5</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>256</th>\n",
-              "      <td>2/15/2024 0:28:38</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>Family</td>\n",
-              "      <td>North District 4 bed 2 bath</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>257</th>\n",
-              "      <td>2/15/2024 8:33:45</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>Family</td>\n",
-              "      <td>9</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>258</th>\n",
-              "      <td>2/15/2024 16:10:40</td>\n",
-              "      <td>Female</td>\n",
-              "      <td>Family</td>\n",
-              "      <td>4</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>259</th>\n",
-              "      <td>2/15/2024 16:14:11</td>\n",
-              "      <td>Female</td>\n",
-              "      <td>Friends</td>\n",
-              "      <td>3 (room), 8 (hall), ~70 (building)</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
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-              "<p>260 rows × 4 columns</p>\n",
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-              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "dataframe",
-              "variable_name": "df2",
-              "summary": "{\n  \"name\": \"df2\",\n  \"rows\": 260,\n  \"fields\": [\n    {\n      \"column\": \"Timestamp\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"min\": \"2/10/2024 0:03:14\",\n        \"max\": \"2/9/2024 23:56:18\",\n        \"samples\": [\n          \"2/9/2024 22:54:55\",\n          \"2/12/2024 2:12:41\",\n          \"2/12/2024 19:19:36\"\n        ],\n        \"num_unique_values\": 260,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"What gender do you identify as?\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"samples\": [\n          \"Female\",\n          \"Non-binary\",\n          \"Male\"\n        ],\n        \"num_unique_values\": 4,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Who do you live with? \",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"samples\": [\n          \"Neither\",\n          \"Both\",\n          \"Family, Friends, Both\"\n        ],\n        \"num_unique_values\": 6,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"How many people live in your household?\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"samples\": [\n          \"6\",\n          \"4\",\n          \"2\"\n        ],\n        \"num_unique_values\": 17,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
-            }
-          },
-          "metadata": {},
-          "execution_count": 1
-        }
-      ],
-      "source": [
-        "%matplotlib inline\n",
-        "import pandas as pd\n",
-        "import numpy as np\n",
-        "\n",
-        "df = pd.read_csv(\"CS105 W24 Survey (Responses) - Form Responses 1.csv\")\n",
-        "#df\n",
-        "df2 = df.iloc[:, [0, 5, 7, 9]]\n",
-        "df2"
-      ]
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "daa13044",
+   "metadata": {
+    "id": "daa13044",
+    "outputId": "4d440aaa-1ee7-4771-c526-f55e9458ca8a",
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 614
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "29889175",
-      "metadata": {
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-      },
-      "outputs": [],
-      "source": []
+    "ExecuteTime": {
+     "end_time": "2024-02-16T00:28:29.748265Z",
+     "start_time": "2024-02-16T00:28:29.708379Z"
     }
-  ],
-  "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": []
+   },
+   "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?  How many people live in your household?  \n0                  Neither                                       6  \n1                     Both                                       4  \n2                  Friends                                       4  \n3                  Neither                                       1  \n4                  Neither                                       1  \n..                     ...                                     ...  \n255                Friends                                       5  \n256                 Family             North District 4 bed 2 bath  \n257                 Family                                       9  \n258                 Family                                       4  \n259                Friends      3 (room), 8 (hall), ~70 (building)  \n\n[260 rows x 4 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Timestamp</th>\n      <th>What gender do you identify as?</th>\n      <th>Who do you live with?</th>\n      <th>How many people live in your household?</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2/9/2024 20:12:14</td>\n      <td>Male</td>\n      <td>Neither</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2/9/2024 20:16:34</td>\n      <td>Female</td>\n      <td>Both</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2/9/2024 20:18:55</td>\n      <td>Female</td>\n      <td>Friends</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2/9/2024 20:24:00</td>\n      <td>Male</td>\n      <td>Neither</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2/9/2024 20:26:16</td>\n      <td>Male</td>\n      <td>Neither</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>255</th>\n      <td>2/14/2024 19:46:28</td>\n      <td>Male</td>\n      <td>Friends</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>256</th>\n      <td>2/15/2024 0:28:38</td>\n      <td>Male</td>\n      <td>Family</td>\n      <td>North District 4 bed 2 bath</td>\n    </tr>\n    <tr>\n      <th>257</th>\n      <td>2/15/2024 8:33:45</td>\n      <td>Male</td>\n      <td>Family</td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>258</th>\n      <td>2/15/2024 16:10:40</td>\n      <td>Female</td>\n      <td>Family</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>259</th>\n      <td>2/15/2024 16:14:11</td>\n      <td>Female</td>\n      <td>Friends</td>\n      <td>3 (room), 8 (hall), ~70 (building)</td>\n    </tr>\n  </tbody>\n</table>\n<p>260 rows × 4 columns</p>\n</div>"
+     },
+     "execution_count": 2,
+     "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\n",
+    "df2 = df.iloc[:, [0, 5, 7, 9]]\n",
+    "df2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "29889175",
+   "metadata": {
+    "id": "29889175"
+   },
+   "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"
   },
-  "nbformat": 4,
-  "nbformat_minor": 5
-}
\ No newline at end of file
+  "colab": {
+   "provenance": []
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}