All Google Data Studio updates
6 updates to Google Data Studio tracked so far. Most recent: 2018-01-10 — Expanded data set support for Data Control.
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2018-01-10Other
Expanded data set support for Data Control.
Data Control, which allows users to populate report templates with their own account data, has been updated to support Attribution 360 (TV Attribution) and DFP (DoubleClick for Publishers) data sets, facilitating better scalability for agencies and companies with subsidiaries.
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2018-01-10Other
New IMAGE function to display images in tables.
Google Data Studio introduced the IMAGE function, allowing users to embed images directly into tables. This is particularly useful for adding product images or YouTube video thumbnails to reports.
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2018-01-10Other
Enhanced Field Reports Editing capabilities.
New functionality has been added to make editing visualizations easier without returning to the data source. Users can now rename fields, change aggregation and semantic types, modify date functions, and apply calculations like % of total or difference from total directly within the report.
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2018-01-10Other
Addition of Google Analytics Sampling Indicator.
Google Data Studio reports now feature a Google Analytics Sampling Indicator. This indicator informs users when a specific component in their report contains sampled data from Google Analytics, providing transparency regarding data accuracy and timeliness.
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2018-01-10Other
Launch of Coordinated Coloring for consistent data visualization.
Coordinated Coloring binds specific colors to data, ensuring that color-data pairs remain consistent across different visualizations, filters, and versions within a report. This feature is automatically enabled for new reports and can be manually added to existing ones.
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2018-01-10Other
Introduction of Pivot Tables in Google Data Studio.
Google Data Studio now includes Pivot Tables, which allow users to reorganize metrics and dimensions by pivoting rows into columns. This feature enables better grouping and summarization of data and helps analyze relationships between data points that are difficult to spot in standard tables.