Data scientists work often with non-numerical data, such as job titles and survey responses. Factors are a way R can represent them. This course will show you how to use tidyverse, forcats to aid you. You will also use tidyr, ggplot2, and dplyrstringr. Real-world datasets will be used, such as Kaggle State Data Science, fivethirtyeight flight dataset and ML Survey. You'll learn how to efficiently identify and manipulate factor variables, and visualize your data. You're ready to categorize!