import wget
url = 'https://git.wmi.amu.edu.pl/s434788/ium_434788/raw/branch/master/winequality-red.csv'
wget.download(url, out='winequality-red.csv', bar=None)

import pandas as pd
wine=pd.read_csv('winequality-red.csv')
wine

from sklearn.model_selection import train_test_split

wine_train, wine_test = train_test_split(wine, test_size=360,train_size=959, random_state=1)

wine_test["quality"].value_counts()

wine_train["quality"].value_counts()

wine

wine["quality"].value_counts()

wine.describe(include='all')

wine["quality"]=((wine["quality"]-wine["quality"].min())/(wine["quality"].max()-wine["quality"].min()))*20

wine["quality"].value_counts()

wine.isnull().sum()

wine.dropna(inplace=True) 

print(wine)