# Chart cell

Next to code cells, text cells and SQL cells, DataLab also allows you to insert dedicated chart cells into your notebook. Chart cells are a way to create charts from data frames without writing *any* code. They are great for quick exploration, but also for building publication-grade visuals to include in your reports.

### Creating a chart cell (Python)

Follow these steps to create a chart cell in your workbook:

* Ensure you have at least one pandas DataFrame in your Python session that is assigned to a variable. You can do this by importing a CSV, running a [SQL cell](/work/sql-cell.md) or writing pandas code.
* Click on "Add Content" at the bottom of the notebook or in between two cells. Then, select "Chart".
* Select the DataFrame you want to visualize in the dropdown menu at the top left of the newly created cell. 
  * Don't see your DataFrame here? You might not have an active session, or the DataFrame may not exist anymore. Try re-running your previous cells to make sure the DataFrame exists in your session!
* Select the category and series that you want to display on your chart. [Learn more](/work/chart-cell/configuring-your-chart.md) about categories, series, and customizing your chart.

<figure><img src="/files/OJg5HwwnRMriTLdP7OmS" alt=""><figcaption></figcaption></figure>

### Creating a chart cell (R)

To create a chart cell in an R session, follow the same steps as above. Instead of a pandas DataFrame, the source data for your chart must be an R data frame or the result of a [SQL cell](/work/sql-cell.md).


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