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Data Science/Module 4: Data Visualization/Seaborn Categorical3/3
Exercise·7 min·10 XP

Quarterly Sales Heatmap

Context. Sales by region and quarter — a 3×4 table of numbers. A heatmap turns the table into color, and annot=True keeps the numbers visible.

Your task. Write make_heatmap(grid) that draws a seaborn heatmap of the grid with the values printed in each cell, sets a title, and returns the axes.

Example. sns.heatmap(grid, annot=True) — the grid is already a table, so it goes in as-is.

Notes. No melting or pivoting needed here; heatmap wants exactly this rows-by-columns shape.

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