Embedded Files
playing with data @ facebook / scratch / abstract(s) / force(s)
idea(s) -- watch / fragment(s) / media / education(s) / data / science
experiment(s) -- math / face(s) / script(s) / update(s) / idea(s)
infovis -- javascript
visualization(s) -- vis.js
toolbox -- data science
data sets -- quandl (tutorial) / collection(s)
city sdk -- information / developer(s)
tool(s) -- conversion(s) / experience(s)
unity3D -- terraviz (presentation) / tutorial: graphs
resource(s) -- data web / machine learning / ethic(s) / analytics
politic(s) -- portability
creative technology / multimedia @ VU
reference(s) -- multimedia authoring / visualising data /... / chart(s) /...
Joshua D. Angrist, Jörn-Steffen Pischke -- Mastering Metrics: The Path from Cause to Effect (amazon)
an Ayres -- Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart (amazon)
Katy Börner, David E. Polley -- Visual Insights: A Practical Guide to Making Sense of Data (amazon)
Mark Jeffery -- Data-Driven Marketing: The 15 Metrics Everyone in Marketing Should Know (amazon)
Kaiser Fung -- Numbers Rule Your World: The Hidden Influence of Probabilities and Statistics on Everything You Do (amazon)
Kaiser Fung -- Numbersense: How to Use Big Data to Your Advantage (amazon)
Ritchie S. King -- Visual Storytelling with D3: An Introduction to Data Visualization in JavaScript (amazon)
Manuel Lima -- Visual Complexity: Mapping Patterns of Information (amazon)
Gordon S. Linoff, Michael J. A. Berry -- Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (amazon)
Malcolm Maclean -- D3 Tips and Tricks: Interactive Data Visualization in a Web Browser (amazon)
Isabel Meirelles -- Design for Information: An Introduction to the Histories, Theories, and Best Practices Behind Effective Information Visualizations (amazon)
Mary S. Morgan -- The World in the Model (amazon)
Scott Murray -- Interactive Data Visualization for the Web (amazon)
Cathy O'Neil -- Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (amazon)
Alex Pentland -- Social Physics: how good ideas spread - the lessons from a new science (amazon)
Stephen A. Thomas -- Data Visualization with JavaScript (amazon)
Edward R. Tufte -- The Visual Display of Quantitative Information (amazon)
Charles Wheelan -- Naked Statistics: Stripping the Dread from the Data (amazon)
Dona M. Wong -- The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures (amazon)
Nathan Yau -- Data Points: Visualization That Means Something (amazon)
Nathan Yau -- Visualize This: The FlowingData Guide to Design, Visualization, and Statistics (amazon)
and there is more: ... soon ... / tool(s) / 2016 / TED / ASDS / IXA / research / art(s)
data cleaning tools:
OpenRefine: http://openrefine.org
DataWrangler: http://vis.stanford.edu/wrangler/
DataVis tools that can easily be learned in an hour:
Datawrapper: https://datawrapper.de
Plotly: https://plot.ly || a gallery: https://plot.ly/#gallery || a tutorial: http://www.instructables.com/id/Embedding-Interactive-Graphs-in-Blogs-and-Websites/
DataVis tools that can easily be learned in a few days:
Tableau Public (I've worked with Tableau with my students): http://www.tableausoftware.com/public/community || a good introduction video: http://www.tableausoftware.com/public/how-it-works || video tutorials: http://www.tableausoftware.com/public/training || a gallery: http://www.tableausoftware.com/public/community/in-the-wild
Fusion Tables: http://www.google.com/drive/apps.html#fusiontables || a gallery: https://sites.google.com/site/fusiontablestalks/stories || tutorials: https://support.google.com/fusiontables/answer/184641 || Google recently announced a free massive open online course with Fusion Tables, titled "Making Sense of Data": https://datasense.withgoogle.com (https://datasense.withgoogle.com/faqs)
CartoDB: http://cartodb.com/visualize || video tutorials: http://developers.cartodb.com/tutorials.html and http://academy.cartodb.com/classes/online-mapping-for-beginners/ || free version: http://cartodb.com/academic
Lyra (in early alpha): http://idl.cs.washington.edu/projects/lyra/ || play with it in your browser: http://idl.cs.washington.edu/projects/lyra/app/ || tutorial: http://vallandingham.me/make_a_barchart_with_lyra.html
A comparison of Fusion Tables and CartoDB: http://blog.cartodb.com/post/21264086445/comparing-fusion-tables-to-open-source-cartodb
DataVis tools that are extremely flexible, but laborious and hard to learn:
Processing: http://processing.org
D3: http://d3js.org/
great online courses on data and its visualization:
Data Journalism Course: http://datajournalismcourse.net
Google's "Making Sense of Data" (already mentioned above): https://datasense.withgoogle.com
School of Data: http://schoolofdata.org/2014/03/11/how-to-earn-a-badge-at-the-school-of-data-screencast/ and http://schoolofdata.org/courses/
ik zou bovenstaand materiaal graag willen integreren in het datavis onderwijs bij CreaTe, en ook materiaal van andere bestaande datavis MOOCs, b.v. ook
video lectures MOOC: Katy Börner: http://ivmooc.cns.iu.edu/
tenslotte nog een voorbeeldje van literatuur die ik graag gebruik:
Interactive Dynamics for Visual Analysis: https://queue.acm.org/detail.cfm?id=2146416
(and by the way, here is the [old] website for our annual presentations in Amsterdam: http://showmethedata.nl)
amd more about: Yuri Engelhardt -- yuriweb.com
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