Data Visualization Foundations
Coming May 2021…
About this Course
What is data visualization? A simple answer might be something like the graphic representation of data. But to get a better understanding of what practitioners of data visualization do, let’s start with the term data. By data, I mean raw, unorganized facts and numbers.
Practitioners of data visualization take raw, hard to grasp data and turn that data into information by providing context and a purpose.
What you'll learn
- Define Data Visualization
- Describe the difference between data and information
- Recall that data visualization should tell a story and help users make decisions
- List a number of charts and visualizations and describe their uses
- Recall that data should be double-checked for accuracy
- Recall that visualizations should never distort data
- Recall that visualizations should never communicate using only color
Data Visualization Fundamentals
During this course, we’ll learn how to convert data into information by providing context and a purpose, and we’ll take a look at different visual means of telling our audience a meaningful story.
Bar Charts, Histograms, and Pie Charts
Memorizing a massive list of visualizations isn’t a good use of your time. Over the next few stages, we’re going to cover some of the most common methods for presenting data. In most cases, the charts covered here will serve your needs. If not, you can always do more research in finding the ideal visualization to tell your data’s story.
Line and Area Charts, Scatter Plots, and Maps
In this stage, we'll be taking a look at line and area charts, scatter plots, and maps.
Practicing Data Visualization
In this stage, we’ll examine sketching as part of the brainstorming process in preparing for a data visualization. We’ll also discuss how to keep our data visualizations accessible and our practices ethical.