#!/usr/bin/env python
# coding: utf-8

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from pycaret.datasets import get_data

data = get_data('insurance')

import matplotlib.pyplot as plt
import seaborn as sns


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data.info()


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sns.set_style('darkgrid')
colors = ['#851836', '#EDBD17', '#0E1428', '#407076', '#4C5B61']
sns.set_palette(sns.color_palette(colors))


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categorical = ['sex', 'children', 'smoker', 'region']

fig, axs = plt.subplots(2, 2, figsize=(20,10))

for variable, ax in zip(categorical, axs.flatten()):
  sns.histplot(data, x='charges', hue=variable, multiple='stack', ax=ax)


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