Making-visualizations

List each item you identify using the following format. The easiest way is to copy and paste the template. For now don't bother grouping them, we'll collect a bunch first and then see what the appropriate categories are based on what we find.

Google Doc instead? Yes

Pattern

1. Another pithy idea. Why it's important. How to accomplish it. [Where It's From, page number/URL. curator initials]

Example

1. Choose color combinations with good contrast. This makes it easier for people to separate the principle components. Identify a set to use and then ask your colleagues for feedback, use a web-based color choosing tool. [Charlie's Book of Viz, page 33. cfp]

Entries

Start-Up

• "Excellence in statistical graphics consists of complex ideas communicated with clarity, precision, and efficiency. Graphical displays should:
  • show the data
  • induce the viewer to think about the substance rather than about methodology, graphic design, the technology of graphic production, or something else
  • avoid distorting what the data have to say
  • present many numbers in a small space
  • make large data sets coherent
  • encourage the eye to compare different p[pieces of data
  • reveal the data at several levels of detail, from a broad overview to the fine structure
  • serve a reasonably clear purpose: description, exploration, tabulation, or decoration
  • be closely integrated with the statistical and verbal descriptions of a data set"
  • - "The Visual Display of Quantitative Information", pg. 13
• "Graphics should be reserved for the richer, more complex, more difficult statistical material." - "The Visual Display of Quantitative Information", pg. 30

Reading Summaries

• Scientific and engineering - Mobeen
• Financial Data - Elena