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Overview
Visualizing data is a critical step in the analysis process. In this lesson, we will introduce a plotting tool in Python, as well as several types of plots that can be used to show different types of data. We will start with an introduction to plotting with one variable, demonstrating bar plots, box plots, and histograms. Then, we will delve into plots with multiple variables, including bar plots (again) and scatter plots. Finally, we will wrap up with an example of working with time series and line plots.
Learning Outcomes
By the end of this lesson, you should be able to:
- Recognize different types of plots in python
- Implement python code to plot one variable at a time
- Create plots with multiple variables
- Distinguish correlation vs. causation
Lesson Roadmap
Type | Assignment or Assessment | Location |
---|---|---|
To Read | Lock, et. al.: 2.4-2.7 | Textbook |
To Do |
Complete Homework: H04 Exploratory Data Analysis Take Lesson 3 Quiz |
Canvas |
Questions?
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If you have any questions, please send a message through Canvas. We will check daily to respond. If your question is one that is relevant to the entire class, we may respond to the entire class rather than individually.
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If you have questions, please feel free to post them to the General Questions and Discussion forum in Canvas. While you are there, feel free to post your own responses if you, too, are able to help a classmate.