Difference between revisions of "Visualizations"
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5) Questions | 5) Questions | ||
| − | * Which parts of statistics do people need to know? | + | * Which parts of statistics do people need to know? |
| + | ** correlation for PCA | ||
| + | * What linear algebra do people need to know? | ||
| + | ** matrix operations for PCA | ||
6) Tools | 6) Tools | ||
* R under Linux/OSX | * R under Linux/OSX | ||
| + | |||
| + | 7) Possible students | ||
| + | * Sam Ward | ||
| + | * Dakota | ||
| + | |||
| + | 8) Possible sources for data sets | ||
| + | * John Iverson | ||
| + | * Mike Deibel | ||
| + | * Kathy Milar | ||
| + | * | ||
Revision as of 09:33, 4 April 2012
Examples
- Eurozone debt - http://www.bbc.co.uk/news/business-15748696
- Wikileaks US embassy cables - http://datavisualization.ch/datasets/wikileaks-us-embassy-cables/
- Stopping SOPA and PIPA - http://visual.ly/stop-sopa
- Auto accident statistics in Britain - http://www.bbc.co.uk/news/magazine-16631597
- A snapshot of the rapidly changing world of computing, communications and technology - http://www.nytimes.com/interactive/2011/12/06/science/1206-world.html?ref=science
Press
NPR did a couple of interesting segments on Big Data, visualizations, and the search of mathematicians and others who can do that stuff. (December, 2011)
- Part 1 - http://www.npr.org/2011/11/29/142521910/the-digital-breadcrumbs-that-lead-to-big-data?ps=rs
- Part 2 - http://www.npr.org/2011/11/30/142893065/the-search-for-analysts-to-make-sense-of-big-data
New York Times article from December, 2011 on bioinformatics and visualization, MicJ
Other
- http://www.r-bloggers.com/how-the-new-york-times-uses-r-for-data-visualization/
- At some point nyt.com supported a "viz lab" where people could use their data sets to build their own visualizations. I can't find a current reference to this now. 20 January 2012
- IBM's Many Eyes -
- http://www.cc.gatech.edu/~stasko/7450/syllabus.html
Presentations
- David McCandless: The beauty of data visualizations (TED) - http://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization.html
- What we learned from 5 million books (TED) - http://www.ted.com/talks/what_we_learned_from_5_million_books.html
- Google's ngram interface: http://books.google.com/ngrams/
Keywords
- infographics
- Big data
The Plan
1) Planning items
- Are there any field trip opportunities?
- Figure-out what books to order
- Figure-out what are the likely conference opportunities?
- Are there any other tools besides R that we should be considering? GRASS?
2) Things to learn
- Is there a somewhat canonical process or technique that one can reliably apply to go from readings -> data -> information -> visualization?
- How to utilize geocoding attributes?
- How to utilize timestamp attributes?
3) Things to read
4) Things to do during the class
5) Questions
- Which parts of statistics do people need to know?
- correlation for PCA
- What linear algebra do people need to know?
- matrix operations for PCA
6) Tools
- R under Linux/OSX
7) Possible students
- Sam Ward
- Dakota
8) Possible sources for data sets
- John Iverson
- Mike Deibel
- Kathy Milar
