Google Data Studio


The table export modal Integrations tab allows visualization and analysis of your Redivis tables in Google Data Studio. Data Studio provides comprehensive tooling for creating interactive visualizations and dashboards.

Using the Redivis Data Studio connector, data from your Redivis table is dynamically mirrored in Google Data Studio, for live updating of visual dashboards according to your latest data.

The sample dashboard below was generated using the US Fires dataset hosted on Redivis.

Creating a new data source

1. Navigate to the Redivis Connector

To create a new data source, click this link to navigate to the Redivis Connector. You can also search for "Redivis" when creating a new data source to select the Redivis connector.

2. Authorize your Google and Redivis accounts

Click the authorize buttons to 1) allow your Google account to interface with the Redivis connector; and 2) allow Data Studio to access your data in Redivis.

3. Specify your Redivis table

Finally, specify the table that you want to import. If the table belongs to a project, you should provide the name of the project and the username of the project owner. If the table belongs to a dataset, you should provide the name of the dataset as well as the username of the dataset owner.

The Redivis Data Studio connector is subject to the Redivis Privacy Policy and Terms of Use. If you don't yet have a Redivis account, you'll need to create one in order to use this connector.

Access and security

Data Studio allows you to share your report with other users, and even embed your report on external websites. If you are sharing restricted data, it is important that you set the "Data credentials" to "Viewer". This will enforce that every viewer of the report has access to the underlying Redivis table. If the credential is set to "Owner", the data in the report will be visible so long as you (the owner) have access to the data in Redivis.

Finally, dataset owners can assign export restrictions to their datasets. Certain tables may be bound by these export restrictions and cannot be imported into DataStudio (for example, if the data can only be exported to a specific compute environment, or if there are export size limits that the table exceeds). In this case, you can return to Redivis and request an export exception for the table if appropriate.

Using Data Studio

Data Studio provides a point-and-click interface that can allow you to develop elegant, interactive visualizations in minutes. You can leverage a comprehensive library of default visualizations, or tap in to the growing body of community visualizations.

Some researchers may want to dive right in, though we recommend taking a look at the DataStudio help documentation for some helpful resource in getting started.

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