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- Customize Analytics chart data visibility
Customize Analytics chart data visibility
Learn how to configure data visibility in Analytics charts via the web app.
What does it mean to customize data visibility?
To get the most out of your Analytics dashboards, it’s essential to have control over the data you choose to display. Customizing data visibility in charts allows you to show or hide zero values, enabling exception-based reporting to spotlight your team’s successes and identify areas for improvement.
Additionally, you can hide the total metric count from your charts, reducing noise in your dashboards and ensuring that the most relevant information stands out. This level of customization enhances clarity and empowers your team to focus on what truly matters.
Non-count metrics such as "Average duration", "Average score", etc. will display zero values by default.
Customize a chart’s data visibility
Select
Analytics from the menu on the left-hand side.Click
on the upper-right corner of the chart.Click Chart settings, then click Customize data visibility.
In the pop-up window, configure the data visibility settings as needed.
Display items with zero values: Display or hide values where no data has been created.
Hide total metric above chart: Display or hide the total count based on your configured metric and attribute on the upper-left of the chart.
Click Save, then click Save chart on the upper-right of the page to save the changes to the chart.
Click Save on the upper-right of the page to save the changes to your dashboard.
For charts with more than one attribute, displaying zero values only applies to the first attribute.
Limitations
Displaying zero values is currently unsupported for the following chart settings:
Metrics | Attributes | Chart types |
|---|---|---|
Scheduled inspections | Status (Inspections, Actions, and Issues) | Pie |
Completed inspections (Scheduled) | Question (Inspections) | Dial |
Priority (Actions and Issues) | ||
Type (Actions) |
Frequently asked questions
A dash represents the zero values for all non-count metrics. For example, if you create a chart with "Average score" as the metric, a dash will represent data points where no data is created, while a zero will reflect the actual score.
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