Visualization

Overview

As an example of a visualization, let’s take the table of yearly average values of nitrogen dioxide (NO2) in Manhattan which we generated in the Analyze CSV File section.

Visualization example

In Analyze CSV File, the code was kept in a Python cell using Run on Cloud. The result of the execution is then displayed inside the cell.

Select Python (Chat) from the '+' button in that cell to perform a simple visualization.

A new cell is generated on the Canvas in the form of a Directed Acyclic Graph (DAG). Press '>_ Open Editor' to enter the visualization code editing screen.

Rewrite the main function as follows and press the Run on Cloud button. The table you have just created is now visualized.

When you return to the Canvas screen, the DAG is also updated and the chart you have just created is displayed.