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@lgaalves
lgaalves committed Jul 2, 2019
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Showing 1 changed file with 118 additions and 10 deletions.
128 changes: 118 additions & 10 deletions day-2-introduction-to-python-part-II-and-web-scraping/06 - Mini-Project.ipynb
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},
{
"cell_type": "code",
"execution_count": 154,
"execution_count": 186,
"metadata": {
"ExecuteTime": {
"end_time": "2019-07-02T12:27:15.851723Z",
"start_time": "2019-07-02T12:27:15.626855Z"
"end_time": "2019-07-02T12:49:29.742836Z",
"start_time": "2019-07-02T12:49:29.532825Z"
}
},
"outputs": [
Expand Down Expand Up @@ -697,13 +697,65 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 209,
"metadata": {
"collapsed": true
"ExecuteTime": {
"end_time": "2019-07-02T12:55:14.180254Z",
"start_time": "2019-07-02T12:55:14.175575Z"
}
},
"outputs": [],
"source": [
"#Test to see if the groups all have the same population mean\n"
"#Test to see if the groups all have the same population mean\n",
"category_employed=[]\n",
"category_unemployed=[]\n",
"for major_category in all_majors:\n",
" employed=[]\n",
" unemployed=[]\n",
" for major in major_category:\n",
" employed.append(major['Employed'])\n",
" unemployed.append(major['Unemployed']) \n",
" category_employed.append(employed)\n",
" category_unemployed.append(unemployed)"
]
},
{
"cell_type": "code",
"execution_count": 210,
"metadata": {
"ExecuteTime": {
"end_time": "2019-07-02T12:55:14.756162Z",
"start_time": "2019-07-02T12:55:14.752269Z"
}
},
"outputs": [],
"source": [
"from scipy import stats"
]
},
{
"cell_type": "code",
"execution_count": 212,
"metadata": {
"ExecuteTime": {
"end_time": "2019-07-02T12:55:18.622152Z",
"start_time": "2019-07-02T12:55:18.613466Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"F_onewayResult(statistic=1.9640512058789068, pvalue=0.02099887134728745)"
]
},
"execution_count": 212,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stats.f_oneway(*category_employed)"
]
},
{
Expand All @@ -720,15 +772,71 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 222,
"metadata": {
"collapsed": true
"ExecuteTime": {
"end_time": "2019-07-02T13:01:35.386804Z",
"start_time": "2019-07-02T13:01:35.360534Z"
}
},
"outputs": [],
"outputs": [
{
"ename": "TypeError",
"evalue": "random_sample() takes at most 1 positional argument (2 given)",
"output_type": "error",
"traceback": [
"\u001b[0;31m----------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-222-aaa2707c3c09>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mlenj\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcategory_employed\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mmin_len\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mleni\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlenj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0msample1\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcategory_employed\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mmin_len\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0msample2\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcategory_employed\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mmin_len\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mleni\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0mlenj\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32mmtrand.pyx\u001b[0m in \u001b[0;36mmtrand.RandomState.random_sample\u001b[0;34m()\u001b[0m\n",
"\u001b[0;31mTypeError\u001b[0m: random_sample() takes at most 1 positional argument (2 given)"
]
}
],
"source": [
"#Test the pairwise associations\n",
"\n"
"for i in range(0, len(category_employed)):\n",
" for j in range(0, len(category_employed)):\n",
" if i >j:\n",
" leni=len(category_employed[i])\n",
" lenj=len(category_employed[j])\n",
" min_len=min(leni,lenj)\n",
" sample1=np.random.sample(category_employed[i],min_len)\n",
" sample2=np.random.sample(category_employed[i],min_len)\n",
" if leni==lenj: \n",
" print(stats.ttest_rel(sample1, sample2))"
]
},
{
"cell_type": "code",
"execution_count": 221,
"metadata": {
"ExecuteTime": {
"end_time": "2019-07-02T13:01:03.762814Z",
"start_time": "2019-07-02T13:01:03.750650Z"
}
},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'min_len' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m----------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-221-3584a15fab32>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcategory_employed\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mmin_len\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mNameError\u001b[0m: name 'min_len' is not defined"
]
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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