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Visualizations

Visualizations. Follow-up. Data: dimensions. Basic graphs. Gapminder. Excel. Wordle. Homework: Postings: research and experiment. Follow-up from guest lecture. Summarize? ?. Natural Language Processing. Text to text or data extraction. Speech recognition.

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Visualizations

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  1. Visualizations Follow-up. Data: dimensions. Basic graphs. Gapminder. Excel. Wordle. Homework: Postings: research and experiment.

  2. Follow-up from guest lecture • Summarize? • ?

  3. Natural Language Processing • Text to • text or • data extraction

  4. Speech recognition • input is sound wave captured as electrical amplitudes and frequencies • first step is doing Fourier Analysis to encode sound wave as set of sine waves • next step is segmentation: divide into (best guess) at syllabus (phonemes) • THEN use statistical approach and/or grammar approach to make matches

  5. NLP and Speech reco • Can combine • For each, issues of scope, speaker(aka user), training or not • Distinct applications • limited (directed) speech • dictation • data extraction • translation • ???

  6. Consider • several possible topics for presentation • I will demonstrate duolingo.com which I am using to learn Spanish!!! • another possibility for presentation topic

  7. Objective … of graphs, charts, diagrams, visualizations is to represent data. Typically data is sets of numbers or sets of other information. Examples: • height and weight of some set of people • possibly with other characteristics and over time • GDP, average longevity of countries • population, region, over time • frequency of words in a piece of text

  8. Caution • If you don't have much data, then not much to do… • if data is wrong or definitions not understood or misunderstood, ….

  9. Preview • Next Monday: guest speaker curator from Neuberger present artist visualizations

  10. Organization / conference / competition / links • http://www.visualizing.org/

  11. 2012 Olympic medal count • Issues • what counts? How to weigh types of medals? • Adjustment for population • what about wealth of country? • http://www.nytimes.com/interactive/2012/08/07/sports/olympics/the-best-and-worst-countries-in-the-medal-count.html?ref=olympics

  12. Gapminder • http://www.gapminder.org/

  13. Excel graphs • Construct data • Bar graphs • When are pie graphs appropriate? • x-y graphs • bubble graphs

  14. Wordle • http://www.wordle.net/

  15. Dimension • The term 'dimension' is used for any attribute of a thing, not just height/width/length • Gapminder examples appeal (I think) because of quantity and dimensions of data • dynamic representation of time • color for regions • comparisons

  16. Napoleon's March • … into Russia 1812-1813 • Called by Edward Tufte (and others) the best (and still the best) graphical visualization. • Use Google to get multiple versions • Your opinion?

  17. My Ds mnemonic • definitions • denominator • dimensions • [what's the] difference • data sources • distribution The point of visualizations is to show these things (and others?)

  18. Examples • … and excuse to start reminding you to vote • http://fivethirtyeight.blogs.nytimes.com/ • http://fivethirtyeight.blogs.nytimes.com/2012/07/27/new-york-not-as-blue-as-it-could-be/

  19. Example • Drawn to show electoral votes (and assessment on how states will vote) • dimensions of size versus population http://elections.nytimes.com/2012/electoral-map • Note: the geographic view does not accurately display Alaska or Hawaii in position and size!!! • Try multiple maps (scenarios) + our own?

  20. If these visualizations make you less likely to vote because New York is predicted to be solidly Democratic… • popular vote will count in terms of mandate • there are down ticket contests • increasing the youth vote will make younger people be more important to politicians • good to get into the habit • people have died for the right to vote!

  21. Example • Periodic table of visualization methods (!) Periodic table: http://www.visual-literacy.org/periodic_table/periodic_table.html • assumes the periodic table has meaning for viewers

  22. Timeline • http://www.datavis.ca/milestones/ • on visualizations • http://www.informationisbeautiful.net/visualizations/mountains-out-of-molehills/ • see also http://www.informationisbeautiful.net

  23. Tools • http://www.computerworld.com/s/article/9215504/22_free_tools_for_data_visualization_and_analysis • http://www.readwriteweb.com/archives/the_best_tools_for_visualization.php

  24. Note / caution / repeat • If you don't have much data, then visualization does not help • if data is (potentially) misunderstood or misleading • Think about Ds

  25. Homework • Decide on presentation topic and make proposal to the appropriate moodle forum • Postings: usual plus • any visualization topic • Tools • Edward Tufte: • Home page (not that easy to navigate and mainly tool to sell his workshops and books which are excellent: http://www.edwardtufte.com/tufte/ • Forum: http://www.edwardtufte.com/bboard/q-and-a?topic_id=1 • Critique of PowerPoint for lectures! • etc. Next class: guest speaker on artist visualizations

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