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54 lines
2.3 KiB
Markdown
54 lines
2.3 KiB
Markdown
# Pivot table
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## Pivot table UI
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Sqliteviz allows building pivot tables and visualizing them. To build a pivot
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run a query to get data. Then open visualisation panel by clicking 
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in any of the two side toolbars and choose a pivot mode by clicking .
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A pivot visualisation has the following settings:
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- Columns – choose one or more column names from the result set. The values in
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the chosen columns will be column names of the pivot table.
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- Rows – choose one or more column names from the result set. The values in the
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chosen columns will be row names of the pivot table.
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- Order of columns and rows.
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- Aggregator and its arguments – a function which will be used for pivot cell
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calculation. An aggregator can have from zero to two arguments. An aggregator
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argument is one of the columns of the result set.
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- View – pivot table visualisation. It can be a table, a heatmap, a chart,
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etc. See some examples of different views of the same pivot table below.
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There are several built-in chart views for a pivot. But you can build your own
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with `Custom chart` view (fig. 4).
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> **Note:** You can switch to other pivot views and back to `Custom chart` –
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> all your custom chart settings will be remembered. But if you switch the
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> visualisation mode from pivot to any other mode, unsaved changes will be lost.
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You can save any visualisation as an image by clicking .
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## Pivot table SQL
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Pivot table (in the form of a result set) can be built on the SQL-level and,
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technically speaking, can be visualised as any other result set. Practically
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though there are a couple of challenges with that:
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1. Visualising a dataset of long/tall shape is much more convenient in Plotly
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(chart editor) rather than one of wide/fat shape.
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2. SQLite doesn't have a special constructs like `PIVOT` or `CROSSTAB` in
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its SQL dialect.
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[How to build a pivot table in SQL(ite)][1] explores two options with static
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(or beforehand-known) and dynamic columns.
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[1]: How-to-build-a-pivot-table-in-SQLite
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