Quick Start

This page shows how to create your first visualization using Muze in ThoughtSpot’s in-browser editor. We’ll walk through each step so you can see exactly how a visualization is built.

Open the Viz Editor

From any search in ThoughtSpot, click Viz Editor in the Visualizations panel. The editor loads a default Muze example.

Click the </> icon at the top-right to reveal the code editor (HTML, CSS, JS tabs). The displayed chart now collapses into a Preview Pane to the left.

Define the HTML

In the HTML tab, you’ll see something like:

<div id="chart"></div>

This <div> is where Muze mounts the visualization. Need multiple charts? Just add more container elements.

Style with CSS

In the CSS tab, you can style the container:

#chart {
  width: 600px;
  height: 400px;
}

Adjust these or add new CSS rules as desired.

Load & Inspect Data in JS

In the JavaScript tab, the viz object provides two main things:

• muze: The Muze visualization library instance
• getDataFromSearchQuery: Fetches data from the ThoughtSpot search query as a DataModel instance

const { muze, getDataFromSearchQuery } = viz;
const data = getDataFromSearchQuery();

// Inspect the data in the browser console:
console.log(data.getData());

Here's a quick overview of the data we are working with:

Container	Region	Average Unit Price
Large Box	Central	246.36
Small Pack	West	22.21
Medium Box	West	153.66
...	...	...
Large Box	South	483.32
Jumbo Drum	South	250.81
Small Pack	East	23.47

Create a Simple Chart

Muze has a chainable API to declaratively define the visualization. Here's a breakdown of the code you see in the JS tab.

muze
  .canvas()
  .data(data) // Attach the data from the ThoughtSpot search query
  .rows(["Average Unit Price"]) // Y-axis field
  .columns(["Container"]) // X-axis field
  .mount("#chart"); // Attach to our <div>

Bonus: Faceting

Want to break down the chart by another dimension (e.g., Region)? Add that field to rows or columns and click Run:

muze
  .canvas()
  .data(data)
  .rows(["Region", "Average Unit Price"])
  .columns(["Container"])
  .mount("#chart");

Save Your Visualization

Click Pin above the chart to save it to a Liveboard. Now it’s shareable and easily revisitable from the liveboard!

See More

• Check out our docs on Muze for more configuration options and advanced use-cases:

  • Guides & Tutorials
  • API Reference

• Looking to manipulate your data before visualizing it? Check out our DataModel docs:

  • Guides & Tutorials
  • API Reference

You can always come back here by clicking Read Docs again or visit our advanced guides. Enjoy exploring what Muze can do!