> For the complete documentation index, see [llms.txt](https://docs.opendatablend.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.opendatablend.io/open-data-blend-datasets/loading-data-files-in-tableau-desktop.md).

# Loading Data Files in Tableau Desktop

{% hint style="info" %}
The instructions on this page are based on Tableau Desktop Professional Edition 2020.4 and Tableau Desktop Public Edition 2020.4.
{% endhint %}

## Supported Formats

Tableau Desktop can't load the compressed CSV data files (`csv.gz`) directly but it can load the CSVs once they’ve been extracted.

## Download the Data Files

Download and save the data files to a suitable location. In the examples that follow, the data has been saved to `C:\data`.&#x20;

{% hint style="info" %}
Although you could load data files directly from the data file URLs, this is not recommended because you may quickly hit usage limits or incur additional costs. We always recommend saving the files locally or to cloud storage first using the Open Data Blend Dataset UI, Open Data Blend Dataset API, or [Open Data Blend for Python](https://github.com/opendatablend/opendatablend-py).
{% endhint %}

## Extracting the CSV Data Files

Use a decompression tool such as [7-Zip](https://www.7-zip.org/) to extract compressed CSV data file to a suitable location.

## Loading CSV Data Files

You can use the below steps as a guide on how you can load extracted CSV data files in Tableau Desktop.

In the Connect pane under the 'To a File' section, click 'Text File'

![](https://2828358319-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MKsnHi3Rf8E7kunYTJB%2F-MTvWMGORsbj4AbpbUmU%2F-MTvWXItlG0OS7_w3End%2Fimage.png?alt=media\&token=6d9495f8-559c-4a80-a94e-88e17bcffac2)

In the Open File dialog, navigate to the location where you extracted the CSV data file to then select it and click 'Open'.&#x20;

![](https://2828358319-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MKsnHi3Rf8E7kunYTJB%2F-MU9JI0avf5oapOjesSd%2F-MUB9NXqjXAmOtRo9M3u%2Fimage.png?alt=media\&token=0ba52363-518d-4fce-962f-296ccc6c038f)

Click 'Update Now' to see a preview of the data.

![](https://2828358319-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MKsnHi3Rf8E7kunYTJB%2F-MU9JI0avf5oapOjesSd%2F-MUB9UxX9qStwphEuAf_%2Fimage.png?alt=media\&token=8ef691ee-4227-40f0-ace0-e2f0ae652d71)

## Using Tableau Desktop for Data Analysis

Guidance on how to analyse data in Tableau Desktop is beyond the scope of this documentation.&#x20;

You may find the following helpful:

* [Tableau Desktop and Web Authoring Help](https://help.tableau.com/current/pro/desktop/en-us/gettingstarted_overview.htm)
* [Tableau Public How-to Videos](https://public.tableau.com/en-us/s/resources)


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.opendatablend.io/open-data-blend-datasets/loading-data-files-in-tableau-desktop.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
