Data Visualization
HELLO! I am Amanda Johnson Data Analysis & Communications 2 Consultant at the State Library of North Carolina amanda.johnson@ncdcr.gov
Public Library Data 3
Agenda ● Effective visualization principles ● Quick and easy tips to improve any visualization 4 ● Design principles
Why data visualization? ▹ Comprehend information quickly ▹ Find patterns & relationships in data 5 ▹ Identify trends ▹ Communicate data
1. Building effective visualizations
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2. Quick and easy tips to improve any visualization
Tip: Provide context for numbers Source Source 10
Tip: Choose charts wisely Source 11
Chart Types: Line Chart Source 12
Chart Types: Bar Chart Basic bar chart Grouped bar chart Stacked bar chart Source Source Source 13
Chart Types: Other Charts Treemap Scatter Plot Pie Chart Source Source Source 14
Chart Types: Excel 15
Chart Types: Even more Data Viz Catalogue Chart Picker 16
Tip: Do the work for your audience 17
Tip: Do the work for your audience 18
Tip: Do the work for your audience 19
Tip: Do the work for your audience 20
3. Design principles
Graphics: Show rather than tell Source Source 22
Font: Limit to three Source Source 23
Colors: Grab attention Source Source Source 24
Arrangement: Visual organization Source Source Source 25
Resources Visualization tools: 26 Graphic design tools: Accessibility Checker WC3 Web Accessibility Standards
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