# Create Table from Data

Instead of manually adding all the columns to create a table, one can import data (including columns and data) from csv or tsv files. Note that files have to be uploaded to storage (see section on storage) in order for it to be accessible.

<figure><img src="/files/HqLgGtvZKe6MUXJSMxVN" alt="" width="375"><figcaption></figcaption></figure>

After choosing to import data from storage, one may have to navigate through folders depending on how data has been organized in your project.

<figure><img src="/files/l3tL98aSAjKYO534Fr5W" alt="" width="360"><figcaption></figcaption></figure>

After locating the appropriate file in a folder one can select the file to import data.

<figure><img src="/files/nrTU3TTrk0rL0S92oab5" alt="" width="375"><figcaption></figcaption></figure>

The column and data from the csv file is pulled into the table outline. The platform automatically detects the data type and name for each column. It might be necessary to make manual adjustments.

<figure><img src="/files/JwgcKKFMCvHK88pR2Ihs" alt="" width="375"><figcaption></figcaption></figure>


---

# Agent Instructions: 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:

```
GET https://docs.informationhub.io/tables/create-table-from-data.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
