Data Viz Explorers Materials

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Here are the presentation materials from my presentation in Seattle on 9/24/2019.

Introduction

• Data Visualization is Storytelling
• It takes trial and error to find the best representation
• Less is More

Tips

• Cycle through many graph types and layouts
• Fit the graph type to the message
• Use multiple graph elements (sparingly)
• Find the right level of abstraction
• Use multiple data views, with a dashboard
• Brushing datapoints can show relationships
• Use 3D graphs with motion
• Tall tables call for data filter
• Wide tables call for column switcher
• Overloading (multiple roles for one column) is OK
• Call out important datapoints with color, labels
• Drill down: subset, graphlets

A few Don'ts

• Don't break the axis
• Don't use pie charts
• Don't use unnecessary ornamentation
• Don't abuse bubble plots
• Don't mislead

Explorers Data Viz JBH 2019.zip