1.Reading a .csv file
2.Reading number of rows and columns
3.Checking data statistics
4.Checking for Data Types
5.Renaming the column names
6.Removing columns from the dataframe
7.Splitting a column & concatenating two dataframe
8.Counting the frequency of a certain value of a column
9.Replacing a certain string from a column
10.Finding the number of unique values of a column of the dataframe
11.Conversion of datatype of a column of the dataframe
12.Sorting the columns in ascending and decending orders
13.Finding the lowest and highest value of a column
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Data analysis of test bowlers based on various libraries of python like numpy, pandas, matplotlib & seaborn.
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