Grouping Data
Explore how to group and aggregate data using the Pandas library in Python. Understand grouping by single and multiple variables to summarize datasets like housing data and student grades. This lesson helps you gain skills to analyze and extract insights from tabular data efficiently.
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Grouping
During analysis, we may want to gather information about specific types of items in a column. For instance, we may want to separate the data for household blocks based on their proximity to the ocean in our California Housing Dataset and calculate the total population of household blocks in each type of area.
We simply want to group data for each type of area and then aggregate population. This can be easily done with Pandas using the function groupby. Below is an illustration of how grouping is done.
As we can see in the above illustration, for every row that has the ...