Slides of the course on big data by Clement Levallois from EMLYON Business School.
For business students. Check the online video connected with these slides.
-> How is data visualization relevant for business. List of tools and resources to advance a dataviz project for small and big companies.
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Data visualization for business
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Big data & cross-platform analytics
MOOC lectures Pr. Clement Levallois
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Data visualization
Data Visualization
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āThe ability to collect, store, and manage data is increasing quickly, but our ability to understand it remains constant.ā
Ben Fry
Co-creator or Processing and Principal at Fathom
The problem to be solved
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āThe picture-examining eye is the best finder we have of the wholly unanticipated.ā
ā [Exploratory Data Analysis] is an approach to analyzing datasets to summarize their main characteristics in easy-to-understand form, often with visual graphs, without using a statistical model or having formulated a hypothesisā
Data visualization: inspired by John Tukeyās āExploratory Data Analysisā
Tukey et al., 1983
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Dataviz draws from different communities
Information visualization / Human Computer Interaction
how do humans interact with the technology?
Cartography
focus on Geographical Information Systems
Information design
What are the best designing practice?
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The mother of all modern dataviz?
ā¢āThe map of the marketā
ā¢Created in 1998 for smartmoney.com
ā¢Still online and used!
ā¢Author: Matt Wattenberg
ā¢How to read it
āColors represent change in stock price
āSurface represents market capitalization
ā¢What it does
āEvolution by sectors at a glance
āFacilitates comparisons / outlier detection
āDrilling: clicking on a sector zooms on it.
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Drone strikes and victims, 2005-2013
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What makes a good data visualization?
1.A pre-condition: data must be respected ā no photoshopping!
2.A Ā« trademark Ā»: data remains largely disaggregated
3.A result: the audience learns something new, via a process of discovery
4.A follow-up: the experience is Ā« addictive Ā», it is memorable and one gets drawn back to it.
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Ben Fryās process of creation in 7 steps
From Fry (2005) PhD dissertation: Computational Information Design
available at: benfry.com/phd/
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Data visualization: what use for business?
ā¢Exploration
āIs there any interesting pattern / segment to be found in my customer data?
ā¢Communication
āHere is the visual summary of my conclusions, for my manager
āHere is a visual explanation of the analytical solution I push to the client
ā¢Control
āMonitoring monthly indicators and trends for production, sales etc. on a dashboard
ā¢Emotion
āConveying a critical message in a communication campaign through a powerful visualization
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Custom
Solutions to create data visualizations
ā¢By hand
One-off projects
Data of limited size
Bleeding edge design
Large set of features
Fit for big data
Standard design
Can deploy to the entire org
Small agencies Teams inside orgs
BI solutions
Off the shelf
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1.Data processing
āR, Python and Matlab are favored both in the academic community & in the industry
āJava is used heavily for data management in companies, also used in academia for data- intensive tasks.
2.Visualization
āProcessing (Java-based): to create videos or installations.
āJavascript (D3.js, three.js, Google Chart API, SigmaJS etc.): to create web-based animations
āFlash (Flash itself or Flare): to create desktop applications.
āR and Python (some packages): to create pictures ā often āscientificā in style.
3.Gimp, Inkscape, PhotoShop or Illustrator to polish the result for print outputs.
1. Using programmatic tools
HOW
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But why would I bother with programming? -> You get much more flexibility and creativity. -> Here is just a sample of what can be done in javascript with D3js.org
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2. Hiring an agency
A choice of 8 outstanding solutions
www.tulpinteractive.com (NL) www.truth-and-beauty.net (DE) www.periscopic.com (US, Portland) www.interactivethings.com/ (CH)
www.o-c-r.org (US, NYC)
www.dataveyes.com (FR)
www.fathom.info (US, Boston)
www.pitchinteractive.com (US, Oakland)
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ā¢Gephi
ā¢NodeXL
ā¢VosViewer
3. āclick and pointā applications
ā¢ArcGIS
ā¢QGIS
ā¢MapBox
ā¢Google Fusion Tables
ā¢Tableau
ā¢Synerscope
ā¢joliCharts
ā¢Plot.ly
ā¢Excel
ā¢Data Wrapper
ā¢Raw http://app.raw.densitydesign.org/
Drawing networks
Drawing maps
Drawing networks, charts and / or maps
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4. BI integrated solutions
ā¢Tableau
ā¢Qlik Sense
ā¢BIME Analytics
ā¢Palantir
ā¢Spotfire
ā¢SiSense
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5. To go furtherā¦
ā¢Critical thinking on data visualization
āhttp://datastori.es
-> A podcast series
āVizWiz
āthe Why Axis
āJunk Charts
āWTF Visualizations
ā¢Great lists of tools and resources
āVisualisingdata.com
āDatavisualization.ch
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This slide presentation is part of a course offered by EMLYON Business School (www.em-lyon.com).
Contact Clement Levallois (levallois [at] em-lyon.com) for more information.