Data Analysis: Grouping Data and Calculating Aggregates in Pandas | RayVision
Welcome to RayVision! 📊 In today’s video, we delve into grouping data and calculating aggregate statistics using Pandas. Learn how to use the df.groupby() method to efficiently summarize and analyze your data.
Question: Which method in Pandas is used to group data based on one or more columns and calculate aggregate statistics?
Options:
df.groupby()
df.aggregate()
df.pivot_table()
df.crosstab()
Answer: 1. df.groupby()
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