3.2 Create the first dashboard | Getting started: your first dashboard

We will import `retail-analytics.csv` into your AI tool and use it with Luminon.

Use Luminon, import `retail-analytics.csv` into a dataset and create the dashboard `Retail Analytics Overview` and the following charts in this order:
- `Bar chart` `Revenue by Category` (sum `revenue` by `category`)
- `Donut chart` `Revenue Share` (sum `revenue` by `country`)
- `KPI card` `Total Revenue` (sum total `revenue`)

Retail Analytics Overview dashboard with a bar chart, donut chart, and KPI card. — One possible result of the tutorial with an AI tool.

First we create the dashboard and the visuals. In the next step we will arrange them in a simple way.

Adjust `Retail Analytics Overview` to `3` columns:

- `Revenue by Category` on the left and spans `2` columns
- `Revenue Share` on the right and spans `1` column
- `Total Revenue` below on the left and spans `1`
- All charts occupy only one row.

Retail Analytics Overview dashboard with the layout adjusted in the second step. — The same dashboard after the second layout prompt.

The idea is simple: one large chart on the left, one small chart on the right, and the card below. That keeps the result easy to follow.

Add `Monthly Revenue` as a `Line chart` on the same dataset (sum `revenue` by `month`).
Place it next to the `Total Revenue` `KPI card` and make it span `2` columns.

Retail Analytics Overview dashboard with the line chart added next to the KPI card. — The dashboard after the third prompt.

With this last prompt we complete the top row and leave the dashboard ready for the next adjustment.

In the next section we will add filters to the dashboard to make it interactive.