Pivot tables with pivot_table() in Data Analysis Python - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a pivot table in data analysis?

A pivot table is a tool that summarizes data by grouping and aggregating it, making it easier to see patterns and compare values.

beginner

What does the pandas function pivot_table() do?

It creates a pivot table from a DataFrame by grouping data based on specified columns and applying aggregation functions like sum or mean.

intermediate

Which parameter in pivot_table() specifies the columns to group by?

The index parameter specifies the columns to group by in rows, and columns specifies columns to group by in columns.

intermediate

How do you change the aggregation function in pivot_table()?

Use the aggfunc parameter to specify the aggregation function, like sum, mean, or a custom function.

beginner

What happens if you don't specify the values parameter in pivot_table()?

By default, all numeric columns are aggregated and included in the pivot table.

What parameter do you use in pivot_table() to set the rows to group by?

A index

B columns

C values

D aggfunc

The index parameter sets the rows to group by in the pivot table.

Which aggregation function is NOT commonly used with pivot_table()?

A sum

B mean

C count

D print

print is not an aggregation function; sum, mean, and count are common.

If you want to see the average sales by region, which aggfunc should you use?

A mean

B sum

C max

D min

The mean function calculates the average.

What type of data does pivot_table() aggregate by default if values is not set?

A Only string columns

B All columns

C Only numeric columns

D No columns

By default, pivot_table() aggregates all numeric columns.

Which parameter in pivot_table() lets you add columns to group by?

A index

B columns

C values

D aggfunc

The columns parameter adds columns to group by in the pivot table.

Explain how to create a pivot table using pandas pivot_table() to summarize sales data by region and product.

Think about grouping rows by region, columns by product, and summing sales.

Describe the role of the aggfunc parameter in pivot_table() and give examples of common functions used.

Aggregation means combining data to get a summary.