text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns  # visualization tool

data = pd.read_csv('/kaggle/input/water-potability/water_potability.csv')

data.corr()

# Veri setimizin Korealasyon Haritasını çıkardık
f,ax = plt.subplots(figsize = (15, 15))
sns.heatmap(data.corr(), annot = True, linewidths=.5, fmt= ".2f", ax=ax)
plt.show()

data.columns

data.Turbidity.plot(kind='hist', bins=50, figsize=(12, 12))
plt.show()