chipotle-clustering-challenge

becode, team challenge

A visualisation of the USA with chipotle locations
Visualization of the different clusters
Intrinsic analysis comparison of the clusters of at least 2 methods with varying arguments (using euclidian distance as criteria)
A chosen centroid to live. Make your argument of why the chosen centroid is superior to others. Examples of arguments are:
- highest density
- greatest uninterrupted link of chipotle locations with smallest link-to-link distance
- ...
a Github page where results are visualized

Steps

Create the repository
Install geopandas
Plot the US map
Visualize your data on this map
Plot a dendogram of your data to help you decide the appropropriate clustering resolution
Compare and analyse different clustering methods using intrinsic analysis to decide on a chosen method.
Choose a centroid/adress to live
Publish your results to a Github page with an explanation of your method.

Dataset "chipotle_stores" as "df"

Dataset "states" using geopandas

At first we tried to draw the map of the states using geopandas...

...in order to be able to plot our points directly on the map.

Now we have to choosing only relevant states

Easy using this code

df = df.groupby('state').filter(lambda x : len(x)>20)