Data Explorer
Data Explorer is a data analysis tool that you can use to make customized visual representations of your data without SQL queries. You can use Data Explorer to create customized reports to suit your specific analytics needs. For example, you can use these reports to analyze custom events and monitor how your game activity, key metrics, and events change over time.
To view your Data Explorer reports in the Cloud dashboard, select Analytics > Data Explorer. This page shows all of your existing reports. To view or edit a report, select the report name. You can also create a new report from this page.
Note: There's a new version of Data Explorer, which provides you with a new experience and enhanced capabilities. To access Data Explorer V2 from the Unity Cloud Dashboard while it's in beta, select Analytics > Data Explorer > Try New Experience. You also have the option to select New Experience when you create a new report.
Data Explorer gives you the ability to filter and use your data based on metrics or events and group them by platform, country, or version. You can query your game data based on predefined metrics or events or event parameters, apply dimension filters, and group by which splits the series into each group in that dimension.
The Data Explorer uses graphs to provide data visualization. You can toggle your data representation between the following types of chart:
- Line
- Area
- Pie
- Bar (only available in Data Explorer V2)
- Stacked Bar
- Column
- Stacked Column (only available in Data Explorer V2)
A Data Explorer report also contains a summarization table of your queried data. Each column shows the measures you select, grouped by the dimensions you select. The table consists of a static row of data with information related to the aggregation filter that you select from the dropdown: either Total, Average, or Median.
UGS Analytics has the following features and improvements over legacy Unity Analytics:
- Data is refreshed at least every two hours.
- Multi-dimensional filters with tailored filter values.
- Group by dimension.
- A simpler user interface.
- Improved data visualization.
- Transparency around metric definitions.
For information about the exact capabilities of Data Explorer, see the appropriate page for each version:
We recommend you enjoy the enhanced functionality of the new experience!