#codersarts #pandas #python #dataanalysis #datascience #pythonprogramming #coding #datacleaning #pivot_table
In this video we will cover the Pivot Table, which is one of the most important and most used in dealing with dataframe. An important part of data analysis is grouping, summarizing, aggregating and calculating statistics about data. Pivot table provides such operations in the most simple manner.
Chapters :
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00:06:20 Usage of pivot_table()
00:08:38 Deal with nans in pivot table and replace it with mean of a column by using “margin” argument”
00:10:15 Assign value instead of missing value by using “fill” argument
00:10:40 Multilevel pivot table
00:14:40 Different aggregate function on different columns
00:14:25 Crosstab method
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