Other information I took note of was:
- Most visualization should have a goal or purpose and present data in a meaningful way - tell a story. Very few visualizations are just for show.
- Question + Visual Data + Context = Story
- Stacked time series
- Good rule of thumb: to restrict a visualization to stating things that can be seen from the data alone and allow the users to draw their own conclusions (don't skew or mislead)
- Maintain consistency when making data decisions and add a footnote to state said decisions
- Visual hook: (I liked this term and analog) use something the users can relate to, i.e. continent maps, icons - makes it more likely that the audience will remember the visualization.
- Reduce users comprehension time increases impact of the visualization (leave out the clutter)
- Twist: (another good one) violating the norm (or expectations) of the users; i.e. making one continent smaller than actual size in comparison to another of unusual larger size
- Maps: use .svg (usually found in Wikipedia commons) scalable vector graphic file
- Map Visual Anchor: choose the largest measurement, open in Photoshop and use histogram to determine pixel size; and use that number in an Excel formula to accurately scale each element
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