1. Data Visualization Graphical representation of information Chars Plots Maps Time series

2. Data Visualization Process Acquire - Obtain the data from some source Parse - Give the data some structure, clean up Filter - Remove all but the data of interest Mine - Use the data to derive interesting properties – Statistical methods – Pattern recognition – Numerical analysis, etc

3. Data Visualization Process Represent - Chose a visual representation Refine – Improve to make it more visually engaging Interact - Make it interactive – manipulating the data – controlling visual features, etc.

5. http://www.visual-literacy.org/periodic_table/periodic_table.html

6. 1942 878199339861472466 692367 577157957469354 433218427737 69355 77 15884255774293317266465 2321972317144245279783 894426639977235666 192728137476617125274 5461431957177747267264 69996488671362602773 44397674237271751517 135932784015647711117 37137265725126988423 664214331797255718197 818781295378486415673 7860213928178369127437 6719 8896692974533372 328172 7339529777 41 761769836764253542476 1336237524743256676 8794162820792321556687 225 "random" numbers chosen and tweeted by 225 people http://blog.blprnt.com/blog/blprnt/your-random-numbers-getting-started-with-processing-and-data-visualization Jer Thorp. Artist/Educator - NYU