# Try Vega

You can try the HEAVY.AI Vega engine and work with various examples. The database used for the examples includes over 100,000,000 rows. The data is based on the [political donations dataset](https://www.omnisci.com/demos/political-donations). Some columns have been stripped so that the data can fit on one NVIDIA Tesla P100 GPU.

## [**Try It: Vega Editor**](https://vega-demo.mapd.com/)

The following examples are available.

### [Simple Pointmap](https://vega-demo.mapd.com/#/examples/geographical/simple-pointmap)

![](https://1128335264-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6xvZtvY4UaNnTQRXqbwd%2Fuploads%2Fgit-blob-095e9098c8d9290db9df5b6fab16ca6617f44206%2F6_vega-tryit-1.png?alt=media)

### [Pointmap With Scales](https://vega-demo.mapd.com/#/examples/geographical/pointmap-with-scales)

![](https://1128335264-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6xvZtvY4UaNnTQRXqbwd%2Fuploads%2Fgit-blob-78918e6e4a0b309df301c8c5ea97ace9c4dda3aa%2F6_vega-tryit-2.png?alt=media)

### [Grouped Pointmap](https://vega-demo.mapd.com/#/examples/geographical/grouped-pointmap)

![](https://1128335264-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6xvZtvY4UaNnTQRXqbwd%2Fuploads%2Fgit-blob-543690a3dc9989682cb33bd9126447b4912c28bf%2F6_vega-tryit-3.png?alt=media)

### [Square Heatmap](https://vega-demo.mapd.com/#/examples/geographical/square-heat-map)

![](https://1128335264-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6xvZtvY4UaNnTQRXqbwd%2Fuploads%2Fgit-blob-a10371058d68adbfa3365f217fee0b911db1bd1e%2F6_vega-tryit-4.png?alt=media)

### [Hexagon Heatmap](https://vega-demo.mapd.com/#/examples/geographical/hexagon-heat-map)

![](https://1128335264-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6xvZtvY4UaNnTQRXqbwd%2Fuploads%2Fgit-blob-fb825eace6a5d05197e08c3079f2167770295a67%2F6_vega-tryit-5.png?alt=media)