Schedule

Note: This outline is subject to change; if it does, students will be notified.

September 2 - Welcome to class
- Indirect data | Pivot tables | Github
September 9 - Getting into data analysis
- How to not mislead with data | Spreadsheet formulas | Google charts
September 16 - Digging for a story
- Questioning methodology | Answering a question with data | Plotly
September 23 - Come together
- Structure of data | Joining data | Google Fusion Tables
September 30 - Extracting data from docs, mapping
- What to do with the data | CometDocs | Google Fusion Tables maps
October 7 - More mapping, setting up a website
- Empathizing with dots | Intro to Choropleths | Github pages
October 14 - Finding, scraping, cleaning data
- FOIAs with Michael Morisy of MuckRock.com | Google Refine | Data miner | Import.io
October 21 -
- Midterm due
October 28 - More maps, advanced auto refine, automated data
- Open Refine advanced | SVG Choropleth map | If This Then That
November 4 - Advanced maps
- Pitch due
- CartoDB | Github Pages | Exploring the Census
November 11 - Investigative journalism and the future of journalism
- Pitch revision due
- Data journalism with Matt Carroll (@MattAtMIT) | Screening of Spotlight at 6:30 p.m. off campus
November 18 - Demographic data and portfolio websites
- Storyboard due
- Census data | Jekyll & Github Pages
November 25 -
- Thanksgiving break
December 2 - Charts and maps from scratch
- Draft due
- Highcharts.js | D3plus | Leaflet.js
December 9 - Introduction to R
- Final due
- R
December 16 -
- Revision due