Hand-made visualization tool-kit: http://thesis.armina.info/node/231
Visualizing Bodies of Information ::
Course Assignments
This page lists out the flow of assignments that are broken up on the daily pages in the schedule. Use this page to see how the smaller assignments fit together, but be sure to refer to the schedule pages for weekly assignments.
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-A1:
For A1 you will collect data, write Processing code that is a visualization of your data, translate this code into using Illustrator or openJscad, then print and construct a data sculpture from paper. This sculpture will resonate with your data set in some way that makes it meaningful. For instance, if you collected data on your indoor water use, your scuplture might hang in your bathroom. Or if you collected information about the topics of your social media posts, you might make a bullhorn that spews certain words....
We will work in-class on developing coding skills for visualization, and engage in feedback meant to further meaningful.
- Weeks 1 -3: Collect and shape data and store in xls, csv, and eventually the Table object in Processing. Using the data set that you have been collecting, you will use the program Processing to import your data, and create a visualization based on your data.
- A1a: Develop a data set you are interested in working with. Maybe you want to track how much compost you create each day, your carbon footprint, or how often you need to water your plants.... Whatever data set you choose to work with, it should be meaningful to you and relate in some way to your daily life. Aim for a minimum of 1-2 weeks of data. For Wednesday bring in what you have collected (ideally 1 week).
See description on Sept 14 schedule page.
- A1b: See description on Oct 05 schedule page.
- Weeks 4-7: Drawing data from an external source file
- A1c: Hack into Bubbles on a Map, or Drawing Data with Lines and use your own data from a CSV file, to visualize some aspects of your data set. Change the code where necessary to make your visualization meaningful.
- A1_Final: Continue to build from the code you've been working from, or the Timeline code to create a finished, fully realized visualization of your data set. With A1_Final, you should be able to to successfully parse through your data, have various aspects of your data represented by size, color and shape -- either in space or over time. Code should be well commented, demonstrating where you understand how the code is working, and where you have questions. Variables, control structures, objects and arrays should be used adroitly.
-A2:
For A2 you have two options.
1)The first is to work on the kinship data provided to us from the SSHIS 'Queering Kinship' course. Should you choose to do this, I will put you in touch with the student researcher correlated to the historic figure you want to work with. You will need to work with them to generate more quantitative data.
2) You may select a dataset encoded by XML or JSON from one of the following sites:
NOAA
National Phenology Network see:the download data page (note: you may need to set up an account with nature's notebook to access this data).
DataSF
data.gov
Other potential sources and lists can be found:
Real Time Data sources
On Reddit
work on visualizing a complex data set in JSON or XML from this list. If your data set is not complex to begin with, work on adding data input so that your data set can increase in complexity over time and with use.
These visualizations and your A1 assignments will be on display in the SF Library for the second half of December. We will have a reception on the last day of class -- December 14th, 4-7p.
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