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{
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{
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" 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]"
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"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"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "29889175",
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"id": "29889175"
},
"outputs": [],
"source": []
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|
