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Data-Science-For-Beginners/4-Data-Science-Lifecycle/15-analyzing/notebook.ipynb

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493 B

{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"source": [
"# print(pd.read_csv('../../data/Taxi/yellow_tripdata_2019-01.csv'))\r\n",
"# all_files = glob.glob('../../data/Taxi/*.csv')\r\n",
"\r\n",
"# df = pd.concat((pd.read_csv(f) for f in all_files))\r\n",
"# print(df)"
],
"outputs": [],
"metadata": {}
}
],
"metadata": {
"orig_nbformat": 4,
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}