> ## Documentation Index
> Fetch the complete documentation index at: https://julius.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Custom Visualizations

> Learn how to create custom visualizations in Julius. 

Julius lets you turn raw data into clear charts with just a few prompts. You can generate and refine visuals without writing code.

This guide covers how to **create**, **customize**, and **save** visualizations that match your data and your brand.

<Steps>
  <Step title="Upload or Access your Data">
    1. click **“+ Add Data”**.
    2. Upload a file or choose a connected data source.
    3. Julius will automatically parse the structure and show a preview.
  </Step>

  <Step title="Ask for a Visualization in Natural Language">
    In the chat, simply type something like:

    > “Create a bar chart of sales by region.”\
    > “Plot a line graph showing daily active users over time.”\
    > “Visualize the distribution of order amounts as a histogram.”

    Julius will:

    * Parse your request
    * Identify relevant columns
    * Generate the appropriate visualization (e.g., bar, line, scatter, histogram, boxplot)
  </Step>

  <Step title="Customize the Output">
    Once the visualization appears, you can refine it by asking follow-ups:

    * **Change chart type**:

      > “Can you turn this into a pie chart?”
    * **Adjust axes or labels**:

      > “Label the x-axis as ‘Date’ and y-axis as ‘Revenue’”
    * **Add grouping or filtering**:

      > “Group by product category” or “Only show data for 2024”
    * **Change formatting**:

      > “Add data labels” or “Use log scale on the y-axis”
  </Step>

  <Step title="View or Edit the Code (Optional)">
    Click **“Show Code”** to:

    * See the Python or SQL code used to generate the visualization
    * Edit the code if you want more control (e.g., set color palettes, change figure size)
    * Rerun the chart with your edits
  </Step>

  <Step title="Save It to a Notebook (Optional)">
    Once you're happy with the visualization:

    * Click **“Save to Notebook”** to store it with your analysis
    * Add context, reasoning, or notes alongside the chart
    * Share the Notebook with your team for review or reuse
  </Step>

  <Step title="Export or Share">
    * Right-click or use built-in tools to **download the chart as an image (PNG, SVG)**
    * Or **copy it to clipboard** to paste into a report, slide deck, or Notion doc
  </Step>
</Steps>

***

## Using Chart Themes:

Julius supports **custom chart themes**, allowing you to personalize your visualizations to align with your company’s brand identity.

<Frame>
  <img src="https://mintcdn.com/julius-d061c216/FYM8NUtCrVJzhSKO/images/get-started/creating-custom-visualizations/visualizations-chart-themes.png?fit=max&auto=format&n=FYM8NUtCrVJzhSKO&q=85&s=b5ce535238299419657f37e11f3a56b7" alt="Chart themes settings panel in Julius" title="Chart themes settings panel in Julius" className="mx-auto" style={{ width:"52%" }} width="1276" height="938" data-path="images/get-started/creating-custom-visualizations/visualizations-chart-themes.png" />
</Frame>

To get started:

<Steps>
  <Step title="Click on Settings → Chart Themes">
    * Open **Settings** in Julius.
    * Navigate to the **Chart Themes** section.
  </Step>

  <Step title="Choose from built-in presets like Scientific, Dark, or the Julius theme">
    * Choose from built-in presets like Scientific, Dark, or the Julius theme
    * Or select `New theme` to create your own custom theme
  </Step>

  <Step title="Create your Own Custom Theme">
    * Select primary and background colors using a color picker or input **RGB, HSL, or HEX** codes
    * Auto-generate a palette or manually set gradient and chart colors
    * Customize chart details: **axes, fonts, borders, legends**, and more
  </Step>
</Steps>

Once created, your custom theme will automatically apply to new visualizations, making it easy to drop charts into decks, presentations, and reports that look on-brand.