Pivot Tables
Explore how to create pivot tables in Python using Pandas to reorganize and summarize tabular data. Learn to group data by attributes, calculate statistics like averages, and analyze patterns such as school performance and alcohol consumption among students, helping you handle complex datasets effectively.
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Pivot Tables
Pivot tables are a summary of the whole data that give us useful information. These tables reorganize the desired data in a different format. These tables can transform data from columns to rows or rows to columns, or group data by any attribute. Because of the reorganization and transformation of the data, these tables were given the name pivot. These tables can include statistics such as sum, mean, maximum, minimum, and many more.
Use cases
Pivot Tables are used to:
- Group data for business problems such as calculating sales by region or products
- Compare different classes of a data field such