> ## Documentation Index > Fetch the complete documentation index at: https://private-7c7dfe99-mintlify-a804b3ad.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 export const CommunityMaintainedBadge = () => { return
Community Maintained
; }; export const Image = ({img, alt, size}) => { return {alt} ; }; In this guide, you will install and build a simple dashboard using Rocket.BI . This is the dashboard: Rocket BI dashboard showing sales metrics with charts and KPIs
You can checkout [the Dashboard via this link.](https://demo.rocket.bi/dashboard/sales-dashboard-7?token=7eecf750-cbde-4c53-8fa8-8b905fec667e)

Install

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)

Let's build the dashboard

In Dashboard, you will find your reportings, start visualization by clicking **+New** You can build **unlimited dashboards** & draw **unlimited charts** in a dashboard. Animation showing the process of creating a new chart in Rocket BI
See hi-res tutorial on Youtube: [https://www.youtube.com/watch?v=TMkdMHHfvqY](https://www.youtube.com/watch?v=TMkdMHHfvqY)

Build the chart controls

Create a metrics control

In the Tab filter, select metric fields you want to use. Make sure to keep check on aggregation setting. Rocket BI metrics control configuration panel showing selected fields and aggregation settings
Rename filters & Save Control to Dashboard Metrics control with renamed filters ready to save to dashboard

Create a date type control

Choose a Date field as Main Date column: Date field selection interface in Rocket BI showing available date columns
Add duplicate variants with different lookup ranges. For example, Year, Monthly, Daily date or Day of Week. Date range configuration showing different time period options like year, month, and day
Rename filters & Save Control to Dashboard Date range control with renamed filters ready to save to dashboard

Now, let build the Charts

Pie chart: sales metrics by regions

Choose Adding new chart, then Select Pie Chart Chart type selection panel with pie chart option highlighted
First Drag & Drop the column "Region" from the Dataset to Legend Field Drag and drop interface showing Region column being added to legend field
Then, change to Chart Control Tab Chart control tab interface showing visualization configuration options
Drag & Drop the Metrics Control into Value Field Metrics control being added to the value field of the pie chart
(you can also use Metrics Control as Sorting) Navigate to Chart Setting for further customization Chart settings panel showing customization options for the pie chart
For example, change Data label to Percentage Data label settings being changed to show percentages on the pie chart
Save & Add the Chart to Dashboard Dashboard view showing the newly added pie chart with other controls

Use date control in a time-series chart

Let Use a Stacked Column Chart Stacked column chart creation interface with time-series data
In Chart Control, use Metrics Control as Y-axis & Date Range as X-axis Chart control configuration showing metrics on Y-axis and date range on X-axis
Add Region column in to Breakdown Region column being added as breakdown dimension in the stacked column chart
Adding Number Chart as KPIs & glare-up the Dashboard Complete dashboard with KPI number charts, pie chart, and time-series visualization
Now, you had successfully build your 1st dashboard with rocket.BI