Experiment #1: single data set - internet users in China
In my first dataset I used the amount of internet users in the PRC from 2014-2000. I used the XlsReader library to loop through an xls document and then printing out each bar using the beginShape(QUADS) funciton to draw the bars.
This is the raw data that I have obtained from: http://www.internetlivestats.com/internet-users/china
And this is the graph that resulted from reading out the data
Experiment #2: two data sets - NYC population and water consumption 1979/80 - 2009/10
For my second data I compared the average water consumption/day with the NYC population. Again, I used the XlsReader library to read the info. However, since I had to read two different data sets, I had to alter the code from the first experiment. For each dataset I first read all values into an array and then printed both lines in the draw() setup.
The data was taken from:
http://en.wikipedia.org/wiki/Demographic_history_of_New_York_City; and
https://data.cityofnewyork.us/Environment/Water-Consumption-In-The-New-York-City/ia2d-e54m
Here is the raw data:
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| NYC population from 1980-2010 |
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| Average water consumption in million gallons/day from 1979-2009 |
This is the data visualized:
Experiment #3: Twitter real time
For my third experiment I used the twitter API and wanted to use a 3D animation that showed the frequency of certain hashtags without showing absolute values. I stumbled across the GWOptics library for 3D animations in Processing which I can highly recommend. I combined a code of theirs with a Twitter API code (using Twitter4j) that I have used earlier for my midterm.
I used three different hashtags which I expected to have different post-frequencies (low, medium, and high) to produce three different animations. Here we go:
low frequency - #MakeTheGroundswell
medium frequency - #PhysicalComputing
high frequency - #Design
