Travel Book Checkouts from 2009 to 2014
MAT 259, 2016
Woohun Joo

Concept
I was curious about which area attracted people's attention the most during the vacation. To observe the differences between six dewey classes in a particular month and year, I referred to checkout counts in a travel book category (from 914 to 919) in the Seattle Public Library for 6 years (from 2009 to 2014).

914: Europe
915: Asia
916: Africa
917: North America
918: South America
919: Australasia, Pacific Ocean, Atlantic Ocean, Arctic islands, and Antarctica

Query
SELECT FLOOR(deweyClass) AS Dewey, MONTH(checkOut) AS MONTH, SUM(CASE WHEN YEAR(checkOut) = 2009 THEN 1 ELSE 0 END) AS '2009', SUM(CASE WHEN YEAR(checkOut) = 2010 THEN 1 ELSE 0 END) AS '2010', SUM(CASE WHEN YEAR(checkOut) = 2011 THEN 1 ELSE 0 END) AS '2011', SUM(CASE WHEN YEAR(checkOut) = 2012 THEN 1 ELSE 0 END) AS '2012', SUM(CASE WHEN YEAR(checkOut) = 2013 THEN 1 ELSE 0 END) AS '2013', SUM(CASE WHEN YEAR(checkOut) = 2014 THEN 1 ELSE 0 END) AS '2014' FROM spl3._rawXmlDataCheckOuts WHERE deweyClass >= 914 AND deweyClass <= 919 GROUP BY MONTH, Dewey

Preliminary sketches
Color Classified by Dewey Class - Each Dewey Class has a particular hue.






Process
Height mapping with Color Variation 1 and 2.
The height of each shape, and hue values correspond to the checkout frequencies.






Final result
Color Classified by Year.




Code
All work is developed within Processing
Source Code + Data