> For the complete documentation index, see [llms.txt](https://docs.vitaracharts.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.vitaracharts.com/readme/import-data-to-visualization.md).

# Import Data to Visualization

## Step-by-Step Guide to  import your data and create a chart using Vitara:

### 1. Add Data : 

* Click the “New Data” button to import your dataset.
* Locate the "Datasets" panel within the dashboard interface. Click "More" at the top of the Datasets panel, then select "Add Data" and "New Data".
  \
  Here is the screenshot for the reference

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXe4WtbhwGV7nlssCGuMyGpiuR0e61q_yVrdVtO9L1XOBBl4XiQrHjSbX6Y40q2tAj2VdGYe31p_fFcupAlMQa5fYglGWnOljSI3Vz3zpVVNBZr-R2OkMXADUTGeuiPkAIgdhgBQ?key=HG8zy91NAlh2msPjWJsC0g" alt=""><figcaption></figcaption></figure>

* Upon clicking 'New Data', a dialog box will open, allowing you to select 'File from Disk' to upload your Excel file

  <figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXcyRBAjlAmHqfsR4V08E_K78hCz7qmL7reF8G9N4y1fs3RY8cEBZ4LPV2KDePZfdoSpoVkgy_RWINBZ0dQgigLMBbJPM22MnuPN_cHd7mLGip20Uu4VLhAT5M7LkycmBacmA-uijw?key=HG8zy91NAlh2msPjWJsC0g" alt=""><figcaption></figcaption></figure>

#### As an alternative to file upload, you can also paste data directly from the clipboard

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXc7uF_ISDEU4gJ0MTEAg7hnaoTXETOdZPlnnC9uFHrq6xZGvaTWScXCPpTCc2QzvhFAzKUtcxiuRZrLTkBbBIp5EtN1pOc4NnU77UuJP4PpXD2ihAPODaX6ALMglE60TsiKEmUXAw?key=HG8zy91NAlh2msPjWJsC0g" alt=""><figcaption></figcaption></figure>

### 2. Prepare the Data :&#x20;

After importing your data

* Click "Prepare data"
* Then click “Finish” to confirm the dataset is ready for use.<br>

  <figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXc0s0O3n1BQt3so7rnssx3vkdyVhY28-0sdTPXAhOQ9Jd2io_klqfo0K2PhCOZtPS8_XtY1gpLXNinFg_i8PtQyzq3IwtBJvFLPcHiRaGuI70Kv2HUrvyqjUzNXvg8Efnr9xgOx?key=HG8zy91NAlh2msPjWJsC0g" alt=""><figcaption></figcaption></figure>

### 3. Configure the Chart :&#x20;

Once the dataset is successfully loaded:

* Drag and drop the required attributes and metrics into the chart configuration panel.

<div align="left"><figure><img src="/files/hj9xthLMLksR43kasjwe" alt="" width="114"><figcaption></figcaption></figure></div>

### 4. Choose a Chart Type :&#x20;

Select the desired Vitara chart type from the available options.

### 5 . View the Visualization :&#x20;

The chart will automatically update based on the selected values, rendering the Vitara visualization.\
\
\&#xNAN;***Please refer to the GIF file for reference.***

<figure><img src="/files/nKOR87FPRtR7Wuq3u78z" alt=""><figcaption></figcaption></figure>


---

# 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:

```
GET https://docs.vitaracharts.com/readme/import-data-to-visualization.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.