Learn how to build accurate, compelling data visualizations, as well as charts and graphs that look great and stand up to analysis.
Overview
Syllabus
Introduction
- Best practices of data visualization
- What you will learn
- Exercise files
- The importance of data viz in today's market
- A quick history of data viz
- Our level of data literacy: The brain science
- Our level of data literacy: The charts that matter
- Using simple charts and graphs
- Using complex charts and graphs
- Challenge: Pop quiz
- Solution: Pop quiz
- Key questions to ask
- Question 1: Who is your audience?
- Question 2: What are your objectives?
- Question 3: What data will serve your objectives?
- Question 4: What chart or graph is best?
- Challenge: The best charts to use
- Solution: The best charts to use
- Being a data fiduciary
- Mistake 1: Putting form over function
- Mistake 2: Improper use of scales
- Mistake 3: Manipulating the axis
- Mistake 4: Forcing your audience to do math
- Mistake 5: Organizing data passively
- Mistake 6: Assuming percentage equals pie
- Challenge: Data viz mistakes
- Solution: Data viz mistakes
- Creating bar graphs in Adobe Illustrator
- Creating pie charts in Adobe Illustrator
- Creating line and area graphs in Adobe Illustrator
- How to use labels and color
- Thank you
Taught by
Amy Balliett
