Pivot Table

Pivot tables summarise data into a grid, letting you arrange dimensions into rows and columns with measures aggregated into values.

They’re useful for breaking down data by multiple categories, spotting patterns, or comparing across groups.

Template options

1. Basic pivot table → displays rows, columns, and aggregated values.

2. Pivot table with color → adds conditional formatting to highlight differences or ranges in the data.

Mapping options

• Rows → Dimension(s) to group along the vertical axis. Multiple fields can also be added here, with order controlling the hierarchy.

• Cols → Dimension(s) to group along the horizontal axis. Multiple fields can also be added here, with order controlling the hierarchy.

• Values → Measures to aggregate (sum, count, average, etc.).

• Color → Applies conditional formatting to values.

Pivot table versus table

Pivot Visual

• Great for summarising data

• Easy grouping across rows/columns

• Less flexible around sorting/filtering

• Cannot export pivots in their pivot format

Table Cell

• Great for quickly visualising your data

• Easy sorting and filtering

• Can work with aggregated data from the SQL cell

• Good for exporting the CSV in the same format

Troubleshoot

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