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medical_charges_url = 'https://raw.githubusercontent.com/JovianML/opendatasets/master/data/medical-charges.csv'
from urllib.request import urlretrieve
urlretrieve(medical_charges_url,'medical.csv')
('medical.csv', <http.client.HTTPMessage at 0x129c31b7ca0>)
!pip install plotly --quiet
!pip install jovian --quiet
import jovian
import pandas as pd
import plotly.express as px
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
from sklearn import preprocessing 
%matplotlib inline
sns.set_style('darkgrid')
matplotlib.rcParams['font.size']=11
matplotlib.rcParams['figure.figsize']=(10,6)
matplotlib.rcParams['figure.facecolor']='#00000000'
medical_df = pd.read_csv('medical.csv')
medical_df.describe()