Next to code cells, text cells and SQL cells, Workspace 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.
Follow these steps to create a chart cell:
Open a notebook file in DataCamp's notebook editor.
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 or writing pandas code.
Click "Add Chart" at the bottom of the notebook (or on "Add chart" when hovering on the area in between two cells).
Select the data frame you want to visualize in the typeahead block in the chart cell header.
Select the chart type and the variables to map onto the X-axis and Y-axis. You can optionally also select a variable to group by, to display multiple lines/bars for multiple categories.
The steps are similar to the steps for Python, but the source data for the chart has to be an R data frame or the result of a SQL cell.