Submit a pull request updating the line on this page!
For Columbia people registered, use your uni to log in and find them at the CVN site
2015-01-22 analyze the questionnaire, set up your repo
2015-01-27 Malecki out hadley video
2015-01-29 Malecki out lisa video
Read all of Tufte by this point.
Read the jekyll/gh-pages basics and a more in-depth tutorial, and/or yet another tutorial.
- Presentation: some rules of thumb for good (static) graphs?
- Presentation: serving jekyll locally; including different kinds of content
Fork, build, and read the ggplot2 book. Skim Wilkinson. Read and study the pictures in Gelman&Hill (at least) chapter 3.
- Presentation: using ggplot to re-create more figures in Gelman & Hill
- Presentation: using yhat's python ggplot
Read: Reproducibility is still a challenge and the knitr documentation and demos. We will also discuss using git branches and making a pull request.
- Presentation: using knitr with pdf and html;
- Presentation: controlling chunk options (sizes etc)
Read Lattice and the quick start at rCharts. Read about tidy data as the contract underlying all types of graphing.
- Presentation: producing different graph types in lattice or ggplot
- Presentation: using the different libraries of rcharts
Read: Histogram package paper and Wickham and Deng. Browse [Rgooglevis examples](http://cran.r-project.org/web/packages/googleVis/vignettes/googleVis_examples.html and watch Rosling, The Joy of Stats.
- Presentation: connecting R to googlevis
- Presentation: 1d and 2d density plots (hexbins etc)
Read and run http://ggvis.rstudio.com/ and optionally http://bokeh.pydata.org; read the Vega tutorial.
- Presentation: getting started with ggvis in rstudio
- Presentation: bokeh quick start
For this week, read Murray, Interactive Data Visualization for the Web
- Presentation: html output with knitr and rcharts
- Presentation: moving toward the browser
- Presentation: making a plot with d3 in plunker and turning it into a gist
- Presentation: something better than a bar plot?
- Presentation: Making an nyc map in R and plotting things on it
- Presentation: ggmap or geocoding with google maps in R or python
Read the introduction to geospatial data by Bostock as well as the choropleth and the introduction to Rmaps which is built on Datamaps as well as leaflet.
- Presentation: Rmaps and/or leafletR / leaflet-shiny
- Presentation: Bostock Let's make a map redux (acquire, transform, plot)
Please choose two or three of these and come prepared with reactions and questions.
- Semantically resonant colors
- Color naming
- HCL in R
- I want Hue (theory)
- Motley
- How to avoid equidistant HSV colors
- Mastering Multi-hued Color Scales with Chroma.js
- Presentation: scraping something with beautifulsoup
- Presentation: using twitter or yelp with python
- Presentation: twitteR and Rfacebook
- Presentation: scraping with rvest
- Presentation: working with data across tools with beaker
- Presentation: making and sharing iPython notebooks
Read: Research directions in data wrangling and the Shiny tutorial.
- Presentation: shiny app
- Presentation: shiny app
Read Heer et al, animated transitions.
- Presentation: database modeling
- Presentation: another linked display (slider or brush)
- Presentation: using crossfilter on some other data (acs? bls?)
- Presentation: crosslet for citibike data?