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# Graph
## Pivot table UI
Sqliteviz allows building pivot tables and visualizing them. To build a graph
run a query to get data. Then open visualisation panel by clicking ![](./img/visualisation.svg)
in any of the two side toolbars and choose a pivot mode by clicking ![](./img/graph.svg).
A pivot visualisation has the following settings:
- Columns choose one or more column names from the result set. The values in
the chosen columns will be column names of the pivot table.
- Rows choose one or more column names from the result set. The values in the
chosen columns will be row names of the pivot table.
- Order of columns and rows.
- Aggregator and its arguments a function which will be used for pivot cell
calculation. An aggregator can have from zero to two arguments. An aggregator
argument is one of the columns of the result set.
- View pivot table visualisation. It can be a table, a heatmap, a chart,
etc. See some examples of different views of the same pivot table below.
![Fig. 1: Table](./img/Screenshot_pivot_table.png)
![Fig. 2: Heatmap](./img/Screenshot_pivot_heatmap.png)
![Fig. 3: Horizontal Stacked Bar Chart](./img/Screenshot_pivot_barchart.png)
There are several built-in chart views for a pivot. But you can build your own
with `Custom chart` view (fig. 4).
![Fig. 4: Custom Chart](./img/Screenshot_pivot_custom_chart.png)
> **Note:** You can switch to other pivot views and back to `Custom chart`
> all your custom chart settings will be remembered. But if you switch the
> visualisation mode from pivot to any other mode, unsaved changes will be lost.
You can save any visualisation as an image by clicking ![](./img/camera.svg).
## Pivot table SQL
Pivot table (in the form of a result set) can be built on the SQL-level and,
technically speaking, can be visualised as any other result set. Practically
though there are a couple of challenges with that:
1. Visualising a dataset of long/tall shape is much more convenient in Plotly
(chart editor) rather than one of wide/fat shape.
2. SQLite doesn't have a special constructs like `PIVOT` or `CROSSTAB` in
its SQL dialect.
[How to build a pivot table in SQL(ite)][1] explores two options with static
(or beforehand-known) and dynamic columns.
[1]: ../How-to-build-a-pivot-table-in-SQ-Lite