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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Pandas Profiling\n", | |
"#### Exploring a NASA Dataset\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"#Installing Pandas Profiling\n", | |
"!pip install pandas-profiling " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"#Importing Libraries\n", | |
"import pandas as pd\n", | |
"import numpy as np\n", | |
"import pandas_profiling as pdp\n", | |
"\n", | |
"#Pulling data from the NASA open data portal\n", | |
"data = pd.read_csv('https://data.nasa.gov/resource/gh4g-9sfh.csv')\n", | |
"\n", | |
"#Creating the Exploratory Data Analysis of our dataset\n", | |
"report = pdp.ProfileReport(data, title='Pandas Profiling Report', style={'full_width':True})\n", | |
"\n", | |
"report #Saved as variable in the case that you need to print it again" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"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": "3.7.3" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 4 | |
} |
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