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Intro to Programming Using Open Government Data: Difference between revisions
Intro to Programming Using Open Government Data (view source)
Revision as of 17:44, 24 February 2013
, 11 years ago→API project
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__toc__
Interested in helping? You can:
* Edit the Saturday projects on Github
* Download the files from Github, try them out, and send feedback to shaunagm (at gmail dot com)
To Do (in rough chronological order):
* Saturday projects
* Go through curriculum and flavor examples to be gov data
* Create an "survey of open government projects" presentation (20 - 30 min) to give folks a taste of what is possible.
* Logistics (funding, date, location, staff)
==Saturday Projects==
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Three project ideas:
* API project -
* Stats project -
* Graphical
Projects should be:
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* modular - introduce one thing at a time, possibly in separate scripts labeled "proj1", "proj2" (see [https://github.com/jesstess/Wordplay the original WordPlay project]) for an example.
* well commented (at least for the first draft)
Put projects in [https://github.com/shaunagm/IntroToOpenGov this GitHub repo].
===API project===
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'''What should the API do?'''
*
* Show examples of querying - how to look for intersects, unions, if-then, etc.
* Maybe link it to a simple display - html page?
'''Notes'''
Use [http://www.codecademy.com/courses/python-intermediate-en-6zbLp this intro to APIs] as inspiration?
===Stats project===
'''What do we want people to learn?'''
* How to use python to do basic math/statistics:
*▼
** Find minimums, maximums, averages, sums.
* How to get data into appropriate format i.e. from string to integer (if time.)
* How to handle arrays and data objects (if time.)
'''Good datasets to use.''':<br />
Whatever's the most interesting - and maybe something complementary to whatever we use for other projects.
'''What should the Stats project do?'''
* Access a file with a cleaned-up dataset.
* Show people what data objects are/look like in python. Introduce or go over how to access elements of arrays/hashes.
▲*
* Optional: Access a file with a dirty dataset and clean it up (mainly data typing.)
===Visualization project===
* Options:
** Matplotlib - possibly hard to install? But maybe install it on our own server and have attendees access it.
** Maybe do two visualizations - a straightforward/simple scatterplot or pie chart (ugh) and then a more complicated (and abstracted away) map
** Use [http://www.census.gov/housing/ahs/ american household survey data]? Use this [https://github.com/sunlightlabs/census census wrapper]?
** Things to visualize:
*** Two non-categorical variables, for the scatter plot, for instance average income of an area by some other value.
*** Things that vary by state, that we can show color-coded on a map: income, ethnic diversity, occupations, age
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