- Assess an audience in order to create accurate, targeted visualizations.
- Classify the six Ws of a data set and narrow down to the two most important Ws in order to create a visualization.
- Calculate the index of a data set.
- Sketch or diagram a rough plan for a data visualization using analog techniques.
- Distinguish different parts of a data visualization's narrative using visual design techniques.
- Construct a chart or diagram to accurately represent a data set.
- Describe instances in which adding an interactive element to a visualization is appropriate.
Skill Level Beginner
- [Voiceover] Welcome to Data Visualization Fundamentals. I'm Bill Shander, founder of Beehive Media. An information design and data visualization consultancy in Boston. In this course, I am going to cover a lot of ground. We'll talk about how to find and define information hierarchy and organize and understand data to work with it. As well as, how to tell stories with data and how to actually do the tasks at hand. We'll also cover sketching and wire framing all the way through picking the right standard form of charts and graphs, as well as going beyond the basics.
We'll even talk about some of the brain science that explains why visualization's important. Which will help you think about visualization techniques that lend themselves to this understanding. You'll notice that I emphasize how important things like accuracy, and integrity, and clarity of communications are. That's really what this industry is all about. It's about helping audiences understand what's otherwise sometimes difficult to see. It's making the complex simple. It's turning inherently abstract things into tangible, visual objects. It's capturing an issue and delivering a visual representation of it that your audience can connect to immediately.
I absolutely love this work and hope you're ready to dive in with me.