# Heatmap

![](/files/-M4oNBROA5ztIoNH8o6n)

## Column Assignments

* X-Axis - Assign a column you want to show at X-Axis. You can assign any column with discrete values (text or number column). If it's a Date / Time column assigned, you can select the aggregation level such as `Month`, `Week`, `Day`, etc.
* Y-Axis - Assign a column you want to show at Y-Axis. You can assign any column with discrete values (text or number column). If it's a Date / Time column assigned, you can select the aggregation level such as `Month`, `Week`, `Day`, etc.
* Color - Take a look at [Color](/visualization/features/color-dialog.md) section for more details.
* Repeat By - You can assign a column to repeat the chart for each of its values. Take a look at [Repeat By](/visualization/features/small-multiple.md) section for more details.

## Show Values on Plot

You can show the column values at "Color By" on the plot area by checking the "Show Value on Plot" checkbox.

![](/files/-MYkRVlcrjbRwg4FYn_Z)

## Category

You can categorize numeric values inside the chart. See [Category(Binning)](/visualization/features/category.md) for the detail.

## 'Others' Group

If you have many categories, you can reduce the number of categories by changing some category names to 'Others' using the 'Others' Group feature. See ['Others' Group](/visualization/features/others-group.md) for the detail.

## Custom Function

You can use the Custom Function feature to define your own aggregation function. See [Custom Function](https://github.com/exploratory-io/book/blob/master/viz/custom-function.md) for the detail.

## Layout Configuration

Take a look at [Layout Configuration](/visualization/features/layout.md) on how to configure the layout and format.

## Exporting Chart Data

Unlike the other chart types, if you export the Heatmap chart data, the data will be saved in in a wide format.

![](/files/-M7xtGPfXGYTvzd99i5z)

## Show Detail

You can show the detailed data underlying the chart by clicking the chart figure. See [Show Detail](/visualization/features/show-detail.md) for the detail.

## Save as an Image

You can save the chart as an image file. See [Save as PNG/SVG](/visualization/features/save.md) for more details.

## Links

You can check out the following articles for more information.

* [Quick Introduction to Heatmap in Exploratory](https://blog.exploratory.io/quick-introduction-to-heatmap-c21a9f9e4644)


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