text_plain_output_1.png
import csv

import matplotlib.pyplot as plt

import numpy as np # linear algebra

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

path = '/kaggle/input/pima-indians-diabetes-database/diabetes.csv'
raw = open(path, 'rt', encoding='utf8')
reader = csv.reader(raw, delimiter=',')
header = next(reader)
data = list(reader)
data = np.array(data).astype('float')

dataset = pd.read_csv(path)
dataset.shape

dataset.dtypes

dataset.corr()

dataset.skew()

import matplotlib.pyplot as plt

dataset.plot(kind='box', subplots=True, layout=(3, 3), figsize=(15, 8))
plt.show()