Quantitative Integrity: does my visualization represent the information in the data?
Communicative Integrity: does the received information represent to transmitted information?
Political Integrity: is the filtering effected by my ideology and political commitments transparent?

  1. The five basic types of chart
  2. From infographic to live trace (experiment interface, data UI, raw data real time UI)
  3. The range of tools
  4. Generating statistics - from raw data to summary figures
  5. Influences: Tufte, Huff, Monmonier, Minard,
  6. 1d,1.5d, 2d, 2.5d, 3d, 4d diagrams
  7. Menagerie of diagrams
  8. Vintage infographics (see https://thesocietypages.org/graphicsociology/)
  9. Kieran Healy and James Moody. "Data Visualization in Sociology"

Measurement: precision, accuracy, reliability, validity
Sampling, sampling on DV
%ing in the right direction
Denominator problem
Small numbers
Distributions shapes and characterizations.
World finding out conceptualization empirical making sense of data Kant cause effect correlation
Spuriousness
Signal to noise ratio
Theory of information Shannon

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Dan Ryan/mobile