To explore data manually in a Spark DataFrame using the Chart view, which function should you run?

The function used to explore data manually in a Spark DataFrame using the Chart view is the display function. This function is specifically designed for rendering DataFrames with visualizations, providing users with an interactive interface to view the data in a more intuitive way. When invoked, it allows for various types of charts to be generated, making it easier to analyze and understand the patterns and distributions within the data.

Using the display function also integrally supports interactivity, enabling users to filter and manipulate the view directly within a notebook context, which significantly enhances the data exploration process. This capability is particularly useful in exploratory data analysis (EDA) stages, where visual aids can lead to better insights.