Admin: Created page with "== Course Schedule (DRAFT) == * Week 1 -- Visualization Basics # lab on data collection # begin work on course products ## guide -- do's and don'ts for good infographics ## trans..."

2012-08-27T11:52:52Z

Created page with "== Course Schedule (DRAFT) == * Week 1 -- Visualization Basics # lab on data collection # begin work on course products ## guide -- do's and don'ts for good infographics ## trans..."

New page

== Course Schedule (DRAFT) ==
* Week 1 -- Visualization Basics
# lab on data collection
# begin work on course products
## guide -- do's and don'ts for good infographics
## transferable vignettes
## ??

* Week 2 -- Visualization Basics
# lab on turning reports into data into information
# continue work on course products

* Week 3 -- Exploratory Data Analysis
# lab on EDA -- numerical and graphical summaries
# continue work on course products

* Week 4 -- Exploratory Data Analysis
# lab on EDA
# continue work on course products

* Week 5 -- Visualization Tools (notice the links below)
# Tools assignment -- low tech, high tech
# continue work on course products

* Week 6 -- Visualization Tools
# Tools assignment -- critical reviews of existing visualizations
# continue work on course products

* Week 7 -- Visualization Tools
# Tools assignment
# continue work on course products

* Week 8 -- Visualization Tools
# Tools assignment
# continue work on course products

* Week 9 -- Projects
# Projects assignment
# continue work on course products

* Week 10 -- Projects
# Projects assignment -- documenting choices and assumptions
# continue work on course products

* Week 11 -- Projects
# Projects assignment
# continue work on course products

* Week 12 -- Projects
# Projects assignment
# continue work on course products

* Week 13 -- Projects
# Projects assignment
# continue work on course products

* Week 14 -- Projects
# Projects assignment
# continue work on course products

* Week 15 -- Projects
# Projects presentation
# complete work on course products

== Short-term To Do List ==
# Figure-out books for the library to purchase, probably put them on reserve through the fall (charlie)
# Look at on-line courses in this area (mic)

== Examples ==
* Good and Bad Statistical Graphs -- http://www.datavis.ca/gallery/
* 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
* Words by the millions - http://www.nytimes.com/2012/03/25/business/words-by-the-millions-sorted-by-software.html?_r=1&ref=technology
* county health ratings - http://www.countyhealthrankings.org/app
* live wind map - http://hint.fm/wind/index.html
* Factual - http://www.nytimes.com/2012/03/25/business/factuals-gil-elbaz-wants-to-gather-the-data-universe.html?ref=technology
* worldwide health data - http://www.youtube.com/watch?v=jbkSRLYSojo&feature=player_embedded
* Obama's budget proposal - http://www.nytimes.com/interactive/2012/02/13/us/politics/2013-budget-proposal-graphic.html?emc=eta1
* Interactive earthquake map - http://pnsn.org/tremor
* http://visual.ly/education-vs-incarceration - and their tool for building vizs
* shot analysis for NBA finals - http://www.nytimes.com/interactive/2012/06/11/sports/basketball/nba-shot-analysis.html
* European debt -- http://www.aljazeera.com/indepth/interactive/2012/06/20126127221845926.html
* Map of the Market (link behaves oddly, but you can get there) -- http://www.smartmoney.com/map-�of-�the-�market/
* Gallery of R Visualizations -- http://addictedtor.free.fr/graphiques/
* nice quicktime example of the "starchart" Filmfinder -- http://hcil2.cs.umd.edu/video/1994/1994_visualinfo.mpg -- dated but very good
* 2010 U.S. Election Visualizations -- http://www.csc.ncsu.edu/faculty/healey/US_election/
* Gun-related deaths by US State -- http://www.aljazeera.com/indepth/interactive/2012/07/2012726141159587596.html
* Minard's Map of French Wine -- http://en.wikipedia.org/wiki/File:Minard%E2%80%99s_map_of_French_wine_exports_for_1864.jpg#file
* Minard's Map of Napoleon's Russian Invasion -- http://en.wikipedia.org/wiki/File:Minard.png#file
* Krulwich - http://www.npr.org/blogs/krulwich/2012/03/21/149095154/mirror-mirror-on-the-wall-do-the-data-tell-it-all?sc=fb&cc=fp
* Defections of Syrian Leaders -- http://www.aljazeera.com/indepth/interactive/syriadefections/2012730840348158.html

== 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
** Military spending - http://www.guardian.co.uk/news/datablog/2010/apr/01/information-is-beautiful-military-spending
* 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/
* Baby names -- NameVoyager (http://www.babynamewizard.com/voyager)
* Wordle (http://www.wordle.net/ )
* Raw Milk Laws in the US (http://farmtoconsumer.org/raw_milk_map.htm)
* International Milk Production (http://chartsbin.com/view/1492)
* Perception in Visualization -- http://www.csc.ncsu.edu/faculty/healey/PP/

== Keywords ==
* infographics
* Big data
* work flow(s)

== The People ==
* Mic Jackson, Mathematics & Environmental Science
* Charlie Peck, Computer Science

# Diana Ainembabazi
# Ivan Babic
# Leif DeJong
# Ryan Lake
# Mobeen Ludin
# Emily Pavlovic
# Mikel Qafa
# Alex Reid
# Elena Sergienko
# Tristan Wright

== Tools ==
* GPlates - plate tectonics visualizations, multi-platform (http://www.gplates.org/)
* open source visualization toolkits
** Prefuse ( http://prefuse.org/ ),
** Flare ( http://flare.prefuse.org/ )
** Protovis ( http://vis.stanford.edu/protovis/ )

* groundbreaking visualization projects
** Many Eyes ( http://www.many�-eyes.com )
** IBM Visualization and Behavior Group (http://researcher.watson.ibm.com/researcher/view_project.php?id=3419)

* a review of Tableau software (http://infosthetics.com/archives/2010/06/social_visualization_software_review_tableau_public.html)
* another (http://bitools.org/tableau-software/)
* a Tableau competitor (http://www.inetsoft.com/info/alternative_to_tableau_visualization_dashboards/?utm_vendor=google&utm_source=northamerica&utm_campaign=visual&utm_medium=search&utm_content=12577228682&utm_term=tableau%20software%20review&gclid=CKPZmvbyoLECFQ8CQAody2v2bg)
* Polaris interactive database visualization (http://www.graphics.stanford.edu/projects/polaris/)
* Spotfire (http://www.cs.umd.edu/hcil/spotfire/)

== Topics ==
# Long-term turtle size, sex, age, climate by year from Western Nebraska (JohnI)
#* Von Bertalanthy (sp) growth model, special case of Fisher models?
# Long-term iguana size, sex, age, climate (8 years only) from Bahamas (Exumas island) (JohnI)
#* Von Bertalanthy (sp) growth model, special case of Fisher models?
# Why do turtles lay the number, size, type and frequency of eggs that they do?
#* What are the common patterns?
#* Which dimensions aren't accounted for?
#** Latitude and longitude?
#** Habitat?
#** Phylogeny?
#** Climate?
#** What other data sets are available?
# How to distinguish between variations within a species vs different species
#* Standardized morphometric data (AOT moristic data, e.g. counts of number of scales between body parts), size standardized
#* Currently using multivariate statistics, about 25 variables
#* Looking for one image with all populations and variables
#* Looking for structure
# Phylogenetic reconstruction, visualizing trees with multiple models (JohnI)

== Techniques ==
# Principle component analysis
# Discriminate function analysis
# Data conditioning and translation, CSV and XML
# Gridded and non-gridded data
# Ideas that Michael suggested

== Sources ==
# Mic's books
# Charlie's books
# Dave's viz workshop at Kean
# Web sources
* The Organisation for Economic Co-operation and Development (OECD) statistics -- http://www.oecd.org/statistics/

== Schedule ==
* Looking for 2-3 hours of meeting time, possibly one shorter and one longer
* Noon on Monday, Thursday, or Friday
* 4p-7p Monday, Wednesday, Thursday, Friday (modulo sport practice)

== 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? At which stage(s) is/are a visualization helpful?
* 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 sources for data sets
* John Iverson
** turtle birthing data
** phylogenetic reconstruction
* Mike Deibel
* Kathy Milar
* Meg Streepy
** GPlates - visualizing plate tectonics

Fk-vizscidat-notes - Revision history

Admin: Created page with "== Course Schedule (DRAFT) == * Week 1 -- Visualization Basics # lab on data collection # begin work on course products ## guide -- do's and don'ts for good infographics ## trans..."