L2L Analytics Walkthrough: Tag Dispatches by Area

Last updated: October 21, 2026

This walkthrough builds a stacked bar chart that answers: How many red, blue, and yellow tags are there in each area, by tag type? The same steps work for counting any dispatch type by any category.

Prerequisites & Preparation

  • Required Permissions: Creating a chart from a saved dataset requires the Limited Creator role or higher. See How to update Roles in L2L Analytics.

  • Dataset: This chart uses the Dispatch dataset (one row per dispatch).

Step-by-Step Configuration

  1. Open the Dataset: Go to Datasets, search dispatch, and open the Dispatch dataset. The chart editor opens.

  2. Choose a Chart Type: Select Bar Chart from the chart types across the top.

  3. Set the Time Range First: Set the time range to Current year so the preview loads quickly. You can widen it later.

  4. Filter to Tag Dispatches: In the column search, type dispatch type and drag dispatch type code into Filters. Search the values for tag and select every tag type you want to include.

  5. Set the X-Axis: Search area and drag area code onto the X-axis.

  6. Add the Metric: From Metrics, drag in COUNT(*). Every dataset has a simple count metric.

  7. Create the Chart: Click Create chart. You now see a total count of tags by area.

  8. Break It Out by Tag Type: Drag dispatch type code into Dimensions and click Update chart.

  9. Make It Readable: On the Customize tab, set:

    • Stacked style: Stack

    • Minor ticks: On

    • Data zoom: On (adds a slider so one very tall bar doesn't hide the rest)

    • X-axis label rotation: 45°

  10. Save the Chart: Name the chart and click Save. To start a dashboard, choose Add to dashboard, type a new dashboard name, and select Save & go to dashboard.

Note: Sites often name the same dispatch type differently (for example, "Red Tag 1" or "TPM Red Tag"). Searching the filter values by keyword and selecting every match makes sure you catch all variants.

Tip: Click an item in the chart legend to hide it. This helps when one category dominates the chart.

Tip: Columns follow a naming pattern, such as code, name, and description. After a couple of charts, you'll know where to look.

Next Steps