> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-fix-nav-issues.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> RocketBI is a self-service business intelligence platform that helps you quickly analyze data, build drag-n-drop visualizations and collaborate with colleagues right on your web browser.

# Goal: build your first dashboard with Rocket.BI

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In this guide, you will install and build a simple dashboard using Rocket.BI .
This is the dashboard:

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_01.gif?s=827eb9691e0e297e85b513479c4a0f19" alt="Rocket BI dashboard showing sales metrics with charts and KPIs" border width="1200" height="651" data-path="images/integrations/data-visualization/rocketbi_01.gif" />

<br />

You can checkout [the Dashboard via this link.](https://demo.rocket.bi/dashboard/sales-dashboard-7?token=7eecf750-cbde-4c53-8fa8-8b905fec667e)

<h2 id="install">
  Install
</h2>

Start RocketBI with our pre-built docker images.

Get docker-compose.yml and configuration file:

```bash theme={null}
wget https://raw.githubusercontent.com/datainsider-co/rocket-bi/main/docker/docker-compose.yml
wget https://raw.githubusercontent.com/datainsider-co/rocket-bi/main/docker/.clickhouse.env
```

Edit .clickhouse.env, add clickhouse server information.

Start RocketBI by run command: `docker-compose up -d .`

Open browser, go to `localhost:5050`, login with this account: `hello@gmail.com/123456`

To build from source or advanced configuration you could check it here [Rocket.BI Readme](https://github.com/datainsider-co/rocket-bi/blob/main/README.md)

<h2 id="lets-build-the-dashboard">
  Let's build the dashboard
</h2>

In Dashboard, you will find your reportings, start visualization by clicking **+New**

You can build **unlimited dashboards** & draw **unlimited charts** in a dashboard.

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_02.gif?s=17ff927649ef598c04dda22bc5e2342d" alt="Animation showing the process of creating a new chart in Rocket BI" border width="800" height="434" data-path="images/integrations/data-visualization/rocketbi_02.gif" />

<br />

See hi-res tutorial on Youtube: [https://www.youtube.com/watch?v=TMkdMHHfvqY](https://www.youtube.com/watch?v=TMkdMHHfvqY)

<h3 id="build-the-chart-controls">
  Build the chart controls
</h3>

<h4 id="create-a-metrics-control">
  Create a metrics control
</h4>

In the Tab filter, select metric fields you want to use. Make sure to keep check on aggregation setting.

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_03.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=fd184e24ee8e34f15478e8d1ca8a2f0d" alt="Rocket BI metrics control configuration panel showing selected fields and aggregation settings" border width="1646" height="863" data-path="images/integrations/data-visualization/rocketbi_03.png" />

<br />

Rename filters & Save Control to Dashboard

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_04.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=e216455eca217efe584ded9fe788fb43" alt="Metrics control with renamed filters ready to save to dashboard" border width="1156" height="138" data-path="images/integrations/data-visualization/rocketbi_04.png" />

<h4 id="create-a-date-type-control">
  Create a date type control
</h4>

Choose a Date field as Main Date column:

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_05.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=903c3c52be65f7dc7c53d80edcae8ba0" alt="Date field selection interface in Rocket BI showing available date columns" border width="1646" height="863" data-path="images/integrations/data-visualization/rocketbi_05.png" />

<br />

Add duplicate variants with different lookup ranges. For example, Year, Monthly, Daily date or Day of Week.

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_06.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=41be33e9a95b77bb55c40e0c0b0c36a7" alt="Date range configuration showing different time period options like year, month, and day" border width="1646" height="863" data-path="images/integrations/data-visualization/rocketbi_06.png" />

<br />

Rename filters & Save Control to Dashboard

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_07.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=275f33c82e1a244113330579360afc44" alt="Date range control with renamed filters ready to save to dashboard" border width="346" height="444" data-path="images/integrations/data-visualization/rocketbi_07.png" />

<h3 id="now-let-build-the-charts">
  Now, let build the Charts
</h3>

<h4 id="pie-chart-sales-metrics-by-regions">
  Pie chart: sales metrics by regions
</h4>

Choose Adding new chart, then Select Pie Chart

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_08.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=1e8ac86ff61f26dfd63e4b1ca60f3f29" alt="Chart type selection panel with pie chart option highlighted" border width="1860" height="1312" data-path="images/integrations/data-visualization/rocketbi_08.png" />

<br />

First Drag & Drop the column "Region" from the Dataset to Legend Field

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_09.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=0613be216736a4232be583188e95478e" alt="Drag and drop interface showing Region column being added to legend field" border width="2562" height="1486" data-path="images/integrations/data-visualization/rocketbi_09.png" />

<br />

Then, change to Chart Control Tab

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_10.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=3e9848a9971284e16932abcc7c13067c" alt="Chart control tab interface showing visualization configuration options" border width="1420" height="918" data-path="images/integrations/data-visualization/rocketbi_10.png" />

<br />

Drag & Drop the Metrics Control into Value Field

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_11.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=e0c3ba2a9c8b56c9bae2d96c4ef73705" alt="Metrics control being added to the value field of the pie chart" border width="2532" height="1484" data-path="images/integrations/data-visualization/rocketbi_11.png" />

<br />

(you can also use Metrics Control as Sorting)

Navigate to Chart Setting for further customization

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_12.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=6e746e4b8a0ec29714e0fcbea11b99e3" alt="Chart settings panel showing customization options for the pie chart" border width="1130" height="806" data-path="images/integrations/data-visualization/rocketbi_12.png" />

<br />

For example, change Data label to Percentage

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_13.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=6dfb8707264325ece45b3854770abb5d" alt="Data label settings being changed to show percentages on the pie chart" border width="2534" height="1468" data-path="images/integrations/data-visualization/rocketbi_13.png" />

<br />

Save & Add the Chart to Dashboard

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_14.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=28f7407c5f52877c56aa1f411d76c73f" alt="Dashboard view showing the newly added pie chart with other controls" border width="1566" height="1056" data-path="images/integrations/data-visualization/rocketbi_14.png" />

<h4 id="use-date-control-in-a-time-series-chart">
  Use date control in a time-series chart
</h4>

Let Use a Stacked Column Chart

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_15.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=208309fb6c4bc5da28d42f0b6f35affe" alt="Stacked column chart creation interface with time-series data" border width="1836" height="1332" data-path="images/integrations/data-visualization/rocketbi_15.png" />

<br />

In Chart Control, use Metrics Control as Y-axis & Date Range as X-axis

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_16.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=d22e703180397ab49ff665106b12bcfe" alt="Chart control configuration showing metrics on Y-axis and date range on X-axis" border width="2552" height="1496" data-path="images/integrations/data-visualization/rocketbi_16.png" />

<br />

Add Region column in to Breakdown

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_17.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=128a465bca3a795a8a9647645c10a89e" alt="Region column being added as breakdown dimension in the stacked column chart" border width="2552" height="1496" data-path="images/integrations/data-visualization/rocketbi_17.png" />

<br />

Adding Number Chart as KPIs & glare-up the Dashboard

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/ujc-kN615--sFi3M/images/integrations/data-visualization/rocketbi_18.png?fit=max&auto=format&n=ujc-kN615--sFi3M&q=85&s=06b13a4a3b28fbb77950b503c71dfe8f" alt="Complete dashboard with KPI number charts, pie chart, and time-series visualization" border width="2788" height="1506" data-path="images/integrations/data-visualization/rocketbi_18.png" />

<br />

Now, you had successfully build your 1st dashboard with rocket.BI
