Python Pandas Tutorial: Data Analysis & Visualization With Pivot Table in Pandas#14
Hi Guys, In this video I have talked about how you can create pivot tables with visualization in Python. Pivot table is an very essential concept for data analysis, data wrangling and data pre-processing purpose. With pivot table we can easily summarize our data really fast from any dataset.
Most people likely have experience with pivot tables in MS Excel. Python provides also a same flavor using Pandas. Really using pandas pivot table you can look at your data from a different alignment and pivot extensively used in analyzing or summarizing the data.
This video covers as follows in greater details:
Pandas Pivot Table introduction
Why use Pivot Tables?
Pandas Pivot Table function syntax and parameters.
How to pick specific column in Pivot Table?
How to use aggregate function in Pivot Table?
How to apply multiple aggregate function on a single column in Pivot Table?
How to handle null values in Pivot Table?
How to set the total in each row and column using margins parameter?
How to apply filter in Pivot Table?
How to sort the data in Pivot Table?
How to create pivot table on specific portion of the data?
Use query method and its benefit with Pivot Table?
Create "bar" chart using Pivot Table.
Create "line" chart using Pivot Table.
How to plot sales month wise (extract month name from date column) and visualize it?
*More!!!
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