Design Theory for Data Visualization

Design Theory for Data Visualization
     Get Bonus Downloads Here.url -


     01 - The power of data visualization.mp4 -


     02 - What you should know.mp4 -


     01 - Seeing is believing in data exploration.mp4 -


     02 - Curious origins.mp4 -


     03 - Why data visualization matters now more than ever.mp4 -


     01 - The anatomy of a chart.mp4 -


     02 - Visual hierarchy.mp4 -


     03 - Marks and channels.mp4 -


     04 - Data-ink ratio.mp4 -


     05 - Typography.mp4 -


     06 - Using text strategically.mp4 -


     01 - Human perception.mp4 -


     02 - The bandwidth of senses.mp4 -


     03 - Preattentive processing for pattern recognition.mp4 -


     04 - Preattentive attributes.mp4 -


     05 - Gestalt psychology.mp4 -


     06 - Gestalt principles for data visualization.mp4 -


     07 - Cognitive biases in data visualization.mp4 -


     01 - Color theory basics.mp4 -


     02 - Color palettes for data visualization.mp4 -


     03 - How colors cross cultures.mp4 -


     04 - The dos and don'ts of color.mp4 -


     01 - Rule 1 Simple is best.mp4 -


     02 - Rule 2 Give the full picture.mp4 -


     03 - Rule 3 Be careful with absolutes.mp4 -


     04 - Rule 4 Avoid extra dimensions.mp4 -


     05 - Rule 5 Be wary of truncation and dual axes.mp4 -


     06 - Rule 6 Choose your bins wisely.mp4 -


     07 - Rule 7 Use area sparingly.mp4 -


     08 - Rule 8 Keep your order.mp4 -


     09 - Rule 9 Know the dangers behind line smoothing.mp4 -


     10 - Rule 10 Don't hide trends in cumulative charts.mp4 -


     11 - Bonus Stick to category thresholds.mp4 -


     01 - Tailoring visuals to your audience.mp4 -


     02 - POUR principles for accessibility.mp4 -


     01 - Upgrade your data visualizations.mp4 -


     Bonus Resources.txt -

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