> For the complete documentation index, see [llms.txt](https://docs.redivis.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.redivis.com/reference/tables/exporting-tables/google-data-studio.md).

# Google Data Studio

The table export modal **Integrations** tab allows visualization and analysis of your Redivis tables in [Google Data Studio](https://datastudio.google.com). Data Studio provides comprehensive tooling for creating interactive visualizations and dashboards.

<div data-with-frame="true"><img src="/files/f4ziJiywfT96zCalSGbN" alt=""></div>

Using the [Redivis Data Studio connector](https://datastudio.google.com/u/0/datasources/create?connectorId=AKfycbxla6dND3-RkQcc-FbTGM6pZwpk5NZ2Za9_RrWmsH2IbSZnwNvFbHsFlk6rape1OEpH), 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](https://datastudio.google.com/u/0/reporting/ffdc1504-1db6-43a8-b9e5-bc65092222fb/page/YJNyB) was generated using the [US Fires dataset](https://redivis.com/Demo/datasets/1667) hosted on Redivis.

{% embed url="<https://datastudio.google.com/embed/reporting/ffdc1504-1db6-43a8-b9e5-bc65092222fb/page/YJNyB>" %}

## 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](https://datastudio.google.com/u/0/datasources/create?connectorId=AKfycbxla6dND3-RkQcc-FbTGM6pZwpk5NZ2Za9_RrWmsH2IbSZnwNvFbHsFlk6rape1OEpH). 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.

<div data-with-frame="true"><img src="/files/-MRmNYMTHikPNgoFaNV8" alt=""></div>

### 3. Specify your Redivis table

Finally, specify the table that you want to import. If the table belongs to a workflow, you should provide the name of the workflow and the username of the workflow 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.

<div data-with-frame="true"><img src="/files/-MRmPbN0Nk_evMKTDT6c" alt=""></div>

{% hint style="info" %}
The Redivis Data Studio connector is subject to the Redivis [Privacy Policy](https://redivis.com/privacy) and [Terms of Use](https://redivis.com/terms). If you don't yet have a Redivis account, you'll need to [create one](https://redivis.com/?createAccount) in order to use this connector.
{% endhint %}

## 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.

<div data-with-frame="true"><img src="/files/-MRmQtO_QmbybA2yCy84" alt=""></div>

Finally, dataset owners can assign [export restrictions](/reference/data-access/usage-rules.md) 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](https://datastudio.google.com/gallery?category=visualization).

Some researchers may want to dive right in, though we recommend taking a look at the [DataStudio help documentation](https://support.google.com/datastudio) for some helpful resource in getting started.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.redivis.com/reference/tables/exporting-tables/google-data-studio.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
