# Pareto chart

> A dashboard item that sorts categories largest first and draws their cumulative share, to find the few causes behind most losses.

Source: https://proxus.io/docs/analyze/dashboard-items/pareto

The **Pareto chart**  sorts categories from the largest value to the
smallest and adds up their share as it goes. It shows which few causes account for most of a problem, so a team knows
where to start. Use it for downtime by cause, rejects by defect, alarms by source.

*Screenshot: A Pareto chart of downtime minutes by cause: bars for labeler jam 186, changeover 142, material shortage 95, sensor fault 61, cleaning 40, operator break 22 and other 14, the cumulative percentage line rising towards 100 %, and a dashed target line at 80 %*

1. **Bar.** One bar per category, largest first. Its height is read on the left axis.
2. **Cumulative line.** With **Show Cumulative Line** on, the line shows the running share of the total, read on the
   right axis from 0 to 100 %. In the sample, the first three causes make up 76 % of the downtime.
3. **Target line.** With **Show Target Line** on, a dashed line marks the **Target percent**. The bars to the left of
   where the cumulative line crosses it are the causes to work on first.

Point at a category for its value and cumulative share. When the item filters the dashboard or drills down,
selecting a bar applies its category.

## Data fields

**Category** and **Value** are required; without them the chart stays empty. The item sorts the categories by value
itself, so the field's own sort order does not matter. A category without a number is left out.

## Settings

- **Top N** keeps only the largest categories. The cumulative share is then worked out over the bars shown, so the
  line still ends at 100 %. Leave it at 0 to show every category.
- **Target percent** is the share the target line marks, 80 % by default.

## Related

- [Proxus dashboard items](https://proxus.io/docs/analyze/dashboard-items)
- [Use and build dashboards](https://proxus.io/docs/analyze/dashboards)