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How to calculate the measure of central tendency for a data set using python?

Description

To calculate the mean,median,mode of the sample data in python.

Process

Mean/Average:

  It add together all of the numbers in a data set and then divide the sum by the total count of numbers.

   To calculate the mean value using df.mean() python inbuilt function.

Median:

   It arranging the data from smallest to largest.

   After arranging it takes the middle data in a data set.

   Find the median by averaging the two middle data.

   To calculate the median value using df.median() python inbuilt function.

Mode:

   Its returns the frequently used data one or more time in a data set.

   To calculate the mode value using df.mode() python inbuilt function.

Sample Code

#import pandas library

import pandas as pd

#load the data from CSV file

data=pd.read_csv(‘/home/soft27/soft27/

Sathish/Pythonfiles/Employee.csv’)
#creating the Data Frame

df=pd.DataFrame(data)

print(“Actual data from the CSV file:”)

print(df)

#Calculate the mean

print(“Mean is:”)

print(df.mean())

#Calculate the median

print(“Median is:”)

print(df.median())

#calculate the mode

print(“Mode is:”)

print(df.mode())

Screenshots
Calculate the measure of central tendency for a data set using python
import pandas library
Load the data from CSV file