Assg2

import numpy as np
from scipy.stats import iqr
import pandas as pd

data = pd.read_csv("Dataset/telecom_churn.csv")

print(data.shape)

print(data.info())

data

data.min()

data.max()

#mean value of all attribute
data.mean()

#mean value of individual attribite for coluumn
data.loc[:,'account length'].mean()

#mean value for first five lines
data.mean(axis = 1)[0:5]

#median value of all attribute
data.median()

data.loc[:, 'area code'].median()

data.median(axis=1)[0:5]

data.mode()

data.std()

data.std(axis = 0)[1:5]

print(data.loc[:,'area code'].std())

data.var()

#Interquartile Range (IQR)
# The Interquartile Range (IQR) is a measure of statistical dispersion, and is calculated as the difference
# between the upper quartile (75th percentile) and the lower quartile (25th percentile).
iqr(data['area code'])