This page will constantly be updated.
- Instructors: Dhrumil Mehta (@DataDhrumil) and Al Johri (@AlJohri)
- Dates: May 4 - May 6
- Slack: https://djbootcamp18.slack.com/
- Repo: https://git.io/vpV1H
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Fill out the survey: https://goo.gl/forms/IKl3iX6S6P30wCh43
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Familiarize yourself with this data: https://projects.propublica.org/represent/expenditures
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Skim through these stories. Read the ones with an asterisk on the left. They all use or relate to the above dataset.
date headline Jan. 17, 2012 *How House Operating Budget Cuts are Paving the Way for More Special Interest Influence Feb. 6, 2012 *Turnover in the House: Who Keeps — And Who Loses — the Most Staff Aug 5, 2014 Now it’s easier to account for how the Senate spends your money July 31, 2014 Senators spent $1 million on charter flights last year Sept. 12, 2014 Landrieu pays back nearly $34K for charter flights Mar. 20, 2015 *20 House members received more money for mileage than Aaron Schock last year Apr 2, 2015 Travel in the shadows: House reports omit key spending details Nov 21, 2017 Conyers scandal rocks House Democrats -
If you have already access to macOS, follow these setup instructions. If not, please talk to Professor Upton to see if you can get access to one. If that's impossible to arrange, Ubuntu may work as well but all of the instructions are centered around macOS. We will cover the setup instructions again at the beginning of the bootcamp if you have any issues.
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(Optional) Some of the material for day1 is available below. Feel free to peruse it. You can also check out this interactive command line tutorial: https://www.codecademy.com/learn/learn-the-command-line
- Introductions
- Setup
- Command Line
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Git and GitHub
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Web Development
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Advanced Git
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Git Resources
- Customizing your project
- Exploratory Data Visualization
- Upacking Websites & Hunting for Data
- Scraping data
- APIs
- Regex [optional]
- Q & A + Project Time
For your final project, you will create a simple website with a d3 visualization using the House Office Expenditure Data. You'll select a meaningful subset of the data and write an article to accompany the viz.