Aggregating Data
Explore the fundamentals of data aggregation in Python to convert large datasets into meaningful summary values. Learn how to use aggregation methods such as sum, count, minimum, maximum, and average to analyze tabular data effectively. This lesson helps you gain insights by filtering and describing data from real-world datasets using Pandas, setting a foundation for deeper data analysis.
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Aggregation
Aggregation is the procedure of converting a large number of values, or a dataset, into a single value or quantity aimed to summarize or describe the data. During data analysis, we always want to summarize data in one way or another. When we take a sum, count the number of items, or take the average of some values we aggregate data. Common aggregation methods are:
- sum
- count
- maximum
- minimum