PrintOverview
The following section will define different types of data and variables, and will introduce you to some fundamental usage of Pandas along the way. This will lead into summarizing variables into "statistics": proportions and the mean, primarily.
Learning Outcomes
By the end of this lesson, you should be able to:
- Differentiate categorical vs. quantitative variables
- Examine how Python interprets different columns of a dataset
- Execute Python code to merge datasets
- Calculate frequency tables and two-way tables
- Determine a proportion from those tables
- Estimate the center of a set of quantitative values in two ways: the mean and the median
- Find the spread, or standard deviation, of some quantitative values
Lesson Roadmap
| Type | Assignment | Location |
|---|---|---|
| To Read | Lock, et. al.: 1, 2.1 | textbook |
| To Do |
Complete Homework H02: Data Structure & Categorical Variables Take Lesson 2 Quiz |
Canvas Canvas |
Questions?
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