EME 210
Data Analytics for Energy Systems

Overview

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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

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

Canvas

Questions?

If you prefer to use email:

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.

If you prefer to use the discussion forums:

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.