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Charts & Tables

This guide explores critical aspects of data visualization, addressing common problems encountered in charts and tables. Key topics include appropriate sizes and resolutions, effective use of colors, clarity of labels, and accurate representation of units. It emphasizes avoiding 'chart junk', understanding continuous versus discrete data, and the significance of figures and error bars. Additionally, it presents various contexts and formats for visualizations, including papers, posters, and presentations, and highlights common performance issues, illustrated with runtime comparisons of modified classes in microbenchmarks.

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Charts & Tables

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  1. Charts & Tables

  2. Some Issues • Size • Resolution • Colors • Labels • Units • Chart junk • Continuous vs. discrete data • Significant figures and error bars

  3. Contexts Formats Features Color Detail Labeling Captions/Headings Tags Paper Book Poster Presentation

  4. Microbenchmark Performance

  5. Figure 4. Runtimes for each version on each microbenchmark, normalized by the runtime of the original version. The modified classes required at least twice as much time. Optimizing the modified classes only gave a significant benefit on the Loop Method Invocation microbenchmark.

  6. FN Treated Cells TC Treated Cells Untreated Cells

  7. 1% 2% 0% 13% 0% 1% 1% 1% 8% 17% 3% 2% 13% 2% 0% 1% 4% 2% 2% 0% 12% 2% 9% 2%

  8. More Examples Figure Bestiary Common Problems Interpreting and Graphing Data

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