It is important to understand the distribution of individuals for a single variable. With quantitative data, four characteristics are generally described from several graphs and numerical summaries. With categorical data, this primarily consists of using tables and graphs to describe the levels in which most individuals are found. This module describes how to construct synthetic descriptions of the distribution of both quantitative and categorical variables.
After completing this module, you should be able to ...
- Construct a succinct written summary that addresses the four specific characteristics of the distribution of a quantitative variable (from numerical summaries and a histogram).
- Construct a succinct written summary that addresses the distribution of a categorical variable (from a frequency or percentage table or a bar chart).
Preparation for Class
Use the resources below to answer these questions. [Problems with videos?]
- Primary Resources (11 pages, 52 mins)
- Reading
Interpreting a Univariate EDA (Quantitative) [11 mins] … corresponding slides- Interpreting a Univariate EDA (Categorical) [2 mins] … corresponding slides
Fall 2020B In-Class “Review Lecture” [39 mins]
- Projection is this example
- Projection is this example
Practice
Archive
- Exercises