Overview Dashboards

Overview dashboards are in active development. Reach out to us with any suggestions, questions or feedback at [email protected]

Overview dashboards is one of the most powerful features of Marple Insight, allowing you to interact with all your datasets in a single view. For example, you can make a dashboard to track the progress of a test campaign:

Plot types

Currently, the following plot types are supported:

  • Number plots: showing 1 aggregated value for all datasets Example: Total mileage [km]

  • Table, Pie and Bar plots: showing multiple aggregate values, grouped on a second value Example: Average battery temperature for low power, medium power and high power cases

  • Scatter plots: showing two aggregates as a single dot for every dataset Example: Maximum altitude VS maximum speed for every dataset

Hint: scatter plots can be used to identify outliers. You can click the visualise icon to open a dataset for deeper analysis.

By clicking the visualise icon for a dataset, you can drill down into the time series view to explore it in depth.

You can create your plots based on

  • Raw signal values from your datasets, e.g. speed, temperature, etc

  • Math channels that are derived from raw signals, e.g. temperature_fahrenheit Read more here: Functions

  • Dataset metadata, e.g. driver, location, etc

Filtering

Overview dashboards allow you to filter the datasets that you want to see. This can be done on three levels:

  1. Saved filters: use this to make a primary selection of what datasets should appear on the dashboard.

  2. Ad-hoc filters: useful to quickly dive into a subset of the data. They are reset whenever you open the dashboard from scratch.

  3. Plot filters: for applying extra filtering on the plot level. Also saved as part of the dashboard definition.

The visible datasets in an overview dashboard can be filtered on three levels.

Learning more

We produced a series of 1-minute videos to learn the basics of overview dashboards. The first video explains the main concepts:

These 1-minute videos cover a single feature in more depth:

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