import pandas as pd
import numpy as np
from pandas import DataFrame, Series
df = DataFrame(
    {'integer':[1,2,3,6,7,23,8,3],
     'float':[2,3.4,5,6,2,4.7,4,8],
     'string':['saya',None,'aku','cinta','kamu','a','b','jika']}
)

df

	float	integer	string
0	2.0	1	saya
1	3.4	2	None
2	5.0	3	aku
3	6.0	6	cinta
4	2.0	7	kamu
5	4.7	23	a
6	4.0	8	b
7	8.0	3	jika

df.describe()

	float	integer
count	8.000000	8.000000
mean	4.387500	6.625000
std	2.023037	7.069805
min	2.000000	1.000000
25%	3.050000	2.750000
50%	4.350000	4.500000
75%	5.250000	7.250000
max	8.000000	23.000000

df.cov()

	float	integer
float	4.092679	0.766071
integer	0.766071	49.982143

df.corr()

	float	integer
float	1.000000	0.053562
integer	0.053562	1.000000