task-13

Task 13: Controlling categorical variables (factors)

Background

When we are visualizing data with categorical variables, we have to deal with character strings as groupings. The problem with summarizing categorical data in a table or a plot is how to order the groups. Using the concept of Factors allows us to dictate the order of these groupings for presentation. We will revisit the stock data from a previous task to create a table and a plot that has the months correctly labeled and ordered.

• Back or Course Website

Reading

This reading will help you complete the tasks below.

• o Python for Data Science - Categorical Data

Tasks

• Take notes on your reading of the specified ‘Python for Data Science’ chapter in in a marimo notebook.
• Load your “tidy” data from task 10 using the stock return data
• Create a plot that shows the six-month returns by the month in which the returns are collected using the eight years of data
• Include your plots in a marimo notebook with short paragraphs describing your plots.
• Export your notebook to .html and have both the notebook and HTML into your git repository