Want to see how ChartBrick works before connecting a source? Import the built-in sample dataset and you'll get a working dashboard you can take apart and rebuild — no upload needed.

Open the data source picker

In your workspace sidebar, click New to open the data source picker. If your workspace has no datasets yet, a Don't have data ready? section appears at the top with a Marketing campaigns card marked Sample. Click it.

You need to be an Admin or Editor to create datasets — Viewers can't.

Review the sample dataset

The sample page describes the Marketing campaigns dataset — 12 months of multi-channel ad performance: spend, clicks, conversions, and revenue — and previews the charts you'll get, tagged KPI, Trend over time, Channel mix, and Region breakdown.

Generate the sample dashboard

Click Open sample dashboard. ChartBrick creates the dataset, builds a dashboard of charts from it (about 5 seconds), and drops you straight onto the finished dashboard.

This is a normal dataset and dashboard in your workspace — safe to experiment with and easy to delete later.

Experiment in the chart editor

Open any chart on the dashboard to edit it. In the editor you can:

Switch the chart type — bar, line, area, pie, and more.
Re-map columns to Axis X (Categories) and Axis Y (Values).
Change how each measure is aggregated — Sum, Average, Count, and so on.

Nothing is locked in, so change things freely and watch the preview update. Every change saves on its own.

Swap in your own data

Once you're comfortable, connect a real source. Click New in the sidebar again and pick CSV, Excel, JSON, REST API, Google Sheets, Airtable, Notion, Stackby, MySQL, or Postgres.

Unlike the sample, a connected source can be refreshed with Update data when its data changes.

What's next?

Create your first chart — the full walkthrough from data source to finished chart.
Filter, sort and aggregate your chart data — shape what the chart shows.
Build a dashboard — combine several charts into one view.

Explore ChartBrick with Sample Data