Restaurant Density Visualization

A project completed individually to compute statistics, draw folium heat maps, and plots, which help compare the densities of restaurants (categorized as chain and non-chains)
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Files Expected / Produced

I only have one ipython/ Juptyer notebook (restaurants-file.ipynb) which can be opened via terminal using 
'jupyter notebook restaurants-file.ipynb' in the same directory (please ensure this - cd if necessary) OR using Anaconda Navigator's Jupyter
After that, please run all cells (in sequential order - top to bottom) and ensure the amenities (.gz) file is in the same directory. 
to get the desired plots (click on cell -> run all), dataframes and other # ouputs (There are no output files expected)

Required Libraries

pip install numpy (import numpy as np)
pip intall pandas (for import pandas as pd)
pip install seaborn (for import seaborn as sns)
pip install matplotlib (for: import matplotlib.pyplot as plt)
pip install folium (for: from folium.plugins import HeatMap ##HEATMAP (VISUALIZATIONS) and import folium #for MAPPING
pip install heatmap (just in case)
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