Example: density estimate

code | plotframe

2

Example: scatterplot

code | plotframe

3

Opportunities

• Exploration
  • Tuning parameters
  • Identifying outliers
  • One fancy plot vs 1000 static plots
• Reports for collaborators
  • Living documents!
  • Allow deeper exploration of the results
  • Cut down on questions?
• Big Data
  • Don’t just rely on summary statistics
  • Greatly compressed information, but with access to the details
  • Zoom into dense figures
  • More exploration, more connections

4

Reproducible reports

• Sweave
• Asciidoc [Example | Source | Glossary]
• Markdown + knitr → R markdown (esp. in RStudio)

5

Biggish data

6

Barriers

• We never learned how
• It’s a hassle
• No consistent platform
• Journal articles are static (and what else matters?)
• Most statisticians are still creating terrible static plots (even worse, obnoxious tables)

7

Barriers

• We never learned how
• It’s a hassle
• No consistent platform
• Journal articles are static (and what else matters?)
• Most statisticians are still creating terrible static plots (even worse, obnoxious tables)

8

Examples from JASA

9

Examples from JASA

10

Examples from JASA

11

Examples from JASA

There are some nice ones.

12

An alternative to tables

Carr & Pickle (2010) Visualizing data patterns with Micromaps.

13

Options

• XLisp-Stat
• locator() and identify()
• ggobi and cranvas
• gWidgets
• rpanel
• Acinonyx (aka iPlots eXtreme)
• RStudio’s manipulate()
• gridSVG
• RGL
• g(i)gplot?
• googleVis
• D3.js

  14

Trade-offs

Easy or flexible?

15

A lot to learn

• HTML and “The DOM”
• CSS
• SVG
• Differences among web browsers
• JavaScript / CoffeeScript
• D3

17

More D3 examples

• Wealth and health of nations
• Brushing
• Adjacency matrix
• Chord diagram
• Random shuffles
• Collisions
• Different kinds of forces
• Word counts at the conventions

18

Acknowledgments

extra

19