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Groupby explained step-by-step and how to use Pivot Table for Pandas DataFrame: Python w/ Example

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Compare the "groupBy" command to "pivot table" in an example - to structure and aggregate a Pandas Dataframe for multi index data configurations.
A simple example of an election with four candidates, two days of voting in three different states. Watch in real-time the performance of each command for various purposes.
Pivot_table for Pandas DataFrame has some additional functionalities, which are presented compared to a multi index groupBy command in Python on COLAB.
#pandas
#dataframe
#dataframes
#groupby
#pivot_table
#datascience
#dataanalytics
#pivot_table
00:00 Example Pandas df for multi index structure
01:52 GroupBy command for Pandas df
08:47 Multi Index GroupBy Example
11:15 Pivot_table code for identical example
12:10 Pivot_table parameters
15:00 Personal recommendation
A simple example of an election with four candidates, two days of voting in three different states. Watch in real-time the performance of each command for various purposes.
Pivot_table for Pandas DataFrame has some additional functionalities, which are presented compared to a multi index groupBy command in Python on COLAB.
#pandas
#dataframe
#dataframes
#groupby
#pivot_table
#datascience
#dataanalytics
#pivot_table
00:00 Example Pandas df for multi index structure
01:52 GroupBy command for Pandas df
08:47 Multi Index GroupBy Example
11:15 Pivot_table code for identical example
12:10 Pivot_table parameters
15:00 Personal recommendation
Groupby explained step-by-step and how to use Pivot Table for Pandas DataFrame: Python w/ Example
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