Topic Name Description
Course Syllabus Page Course Syllabus
1.1: Introduction to Data Visualization Design Page The Beauty of Data Visualization
This video introduces the concepts you will learn in this course. Pay attention to the examples of data presentation in the video. What types of data visualization are presented? How can we take data and present it in a way to bring clarity to the audience? How can we solve information problems? As you watch the video, answer these questions.
Page Designing Figures

This lecture discusses how color, size, and whitespace can increase the amount of information captured in a single graphic and how the deliberate use of the design principles can reduce the "time to insight": How long it takes the audience to unpack information?

1.2: Visual Perception Page Introduction to Data Visualization

For a data visualization to be considered useful, it must be understood when presented. Watch this summary of how ideas from psychology can guide the creation and presentation of data visualization.

Page Data Visualization

This video will further explain how your audience will perceive and understand the visual information you display. Note how the speaker uses the visualization principles discussed to create the figures used in the presentation.

2.1: Types of Data Page Levels of Measurement

Watch the video to view how to measure dependent variables and different types of variables. How can we classify measurements? In this video, you will cover four basic scales of measurement. Pay attention to the definition of each scale, examples, and how or why the scale is used. Think of examples from your own experiences to make a connection to each scale and its use.

Page Data Cleaning

When a data set is missing data, full of mistakes, or in a rough form, data scientists call it "dirty data". Data analysis software will sometimes return an error and not analyze dirty data. In other cases, the software will run an analysis, but the dirty data will bias results. This video will show you how data can become dirty and some ways to clean it. Think about data you have worked with in the past. What errors were present in the data sets?

2.2: Using Data Page Data-Driven Decision-Making

Big data, "data-driven", and other buzzwords are becoming ubiquitous in modern industry. What do these terms really mean? These videos define these terms and show how they relate to data visualization.

3.1: Types of Charts Page Displaying Quantitative Data

This video demonstrates some of the more commonly-used charts and explains how to use them. Recall the different data types we discussed in Unit 2 and note how each type of data in the video is charted.

Book Types of Charts

These slides walk through a wide variety of charting options at your disposal. Again, note which charts are associated with each data type.

3.2: Charting in Google Sheets Page Charting in Google Sheets

This video discusses how to construct various charts in Google Sheets, a free software package that can be used for data visualization. Recall the different types of data we discussed in Unit 2. As you watch, try to identify the type of each data point. Also, note which charts are used with each type of data.

Page Example of Visualization in Google Sheets

This video provides an example of a simple visualization. Watch as a data scientist turns a sketch and numbers from a notebook into a digital visualization, and note how much quicker the graphic conveys the information than the raw data.

3.3: Charting Techniques Page Presenting Charts

Engineers are guided by the KISS principle: Keep It Simple, Silly! This video gives tips for ensuring that your charts are understandable and to the point.

Page Making Data Engaging

Data visualization should tell a story. Watch how this data scientist makes his charts interactive and engaging to involve his audience and reach them better.

Book Charting Dos and Don'ts

Whether on purpose or not, a statistician can mislead an audience with a chart. This article explains some chart design principles and common mistakes novice data analysts make. Think about the statistical charts you have seen on billboards, in the news, and in research studies. Using these principles as a guide, would you classify any of those charts as misleading?

4.1: Data Visualization Design Page Defining Variables

All statistical analyses are guided by a research question. Properly defining all variables and clearly stating a problem are the first steps in the data presentation process. This article discusses how to define variables operationally.

Page Design Principles

A visualization must be easily understandable by everyone who sees it. This article demonstrates some ways to ensure that charts are understandable and engaging.

Page Cautionary Examples of Infographics

Review these "dos and don'ts" of presenting data in infographics. Pay attention to the amount of information, images, colors, and charts you should use. Take notes and become familiar with how to conduct a squint test before finalizing your presentation.

4.2: Data Presentation Page When and How to Visualize

Read this article on using figures and tables to simplify or break down complicated information in a way that is accessible and understandable to your audience. Take notes on each section and pay attention to the type of figure/chart used, what it requires, why it is used, when it is best used, and what to avoid when using it. Think of a data set where you can apply each type of figure/table to present.

Page Presentation Tips

Read the article and take notes on preparing a powerful slide deck. Use a presentation you prepared or located on a topic of interest to make this activity more engaging. Follow the ten tips and adjust the slides, then rename the presentation and save it as the new version. Once you are done, compare the two versions and reflect on the improvements.

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