visualization 101 ba4all
DESCRIPTION
Presentation for the first BA4All conference in Brussels, Nov 2013TRANSCRIPT
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VISUALIZATION 101USING VISUALIZATION TECHNIQUES FOR
DISCOVERY AND DISPLAY
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“ALL TRUTHS ARE EASY TO UNDERSTAND ONCE THEY ARE DISCOVERED;
THE POINT IS TO DISCOVER THEM.”
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Between 70% and 80% of Business Intelligence projects end in failure
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Seventy-five percent of BI success is determined by factors other than data and technology – so you need to know how to communicate your BI content effectively (Center for Information Based Competition)
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Effectively visualizing your KPIs is critical, as 70% of the sense receptors in the human body reside in our eyes
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Visualizations…
…TO DIRECT
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… to Inform
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… to Educate
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… to Discover
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…TO KEEP TRACK OF PROGRESS
Source: http://robslink.com/SAS/democd63/sfew_dashboard2.htm
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Visualization is…• Based on (non-visual) data• Primarily producing an image• Readable and recognizableRobert Kosara, www.eagereyes.org
The conversion of any abstract data into a graphical format so the characteristics and relationships of the data can be explored and analyzed.
Mark Madsen, Third Nature
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Above all else show the dataEdward Tufte, 1983
Source: http://www.infovis-wiki.net/index.php/Data-Ink_Ratio
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Data-Ink Ratio
Source: http://www.infovis-wiki.net/index.php/Data-Ink_Ratio
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Chartjunk or Art?
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GeWhat? Gestalt principles!
P R O X I M I T Y
CAREFUL: • don’t force the reader to see
groups that aren’t really there• a simple shape is not necessarily
the right shape.
“describe how the mind organizes visual data”
COLORCLOSURE
/ENCLOSURE
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Beware of your Brain
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How many 5’s?
Source: Stephen Few, Show me the Numbers
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Again, how many 5’s?
Source: Stephen Few, Show me the Numbers
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http://www.visual-literacy.org/periodic_table/periodic_table.html
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The first Bar Chart (1786!)
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… and Pie Charts
William Playfair, 1801
Florence Nightingale, 1826
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Be Careful with Pie Charts…
Total = 100%<=5 categoriesPart to wholeRough indication
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And Never, EVER, use 3D!
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What goes where?
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The ‘Standard’ Stuff
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But what about…
Bullet Graphs
Spark Lines
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Newer Visualization types
Horizon Graphs
(Mari-)Mekko Charts
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Visualization is about Patterns
Course grained patterns (Table Lens)
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Patterns in CategoriesParallel Sets
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Patterns of Structure
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Patterns of Containment
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Patterns of Connection
www.circos.ca
www.circos.ca
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Patterns in Time
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Maps show the ‘where’
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Choropleth Maps
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Symbol Maps
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Combine: Small Multiples
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Required Reading
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Guidelines & Conclusions
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Jos van DongenIn BI & DWH since 1991Principal Consultant @ SAS NetherlandsAuthor/Speaker/Analyst
Web: www.sas.com/netherlandsEmail: jos.vandongen<at>sas.comPhone: +31-(0)6-10172008LinkedIn: jvdongenTwitter: josvandongenIRC: _grumpy