QMSS Data Visualization

Who are you?

What do you already know how to do?

http://bit.ly/qmssvizt0

Some administrative bits

• Course site
• Site source

Books

Goals

Goals

• Practical data visualization
• working with actual data
• collaborating with others
• using modern, rapidly changing tools

Rapidly Changing:

• NPR Viz Data processing workflow, published on Tuesday
• RMarkdown Released Tuesday
• Beaker Notebook release May
• vega latest release July
• dplyr last commit Tuesday
• D3 last release July
• Upshot New features weekly?

Some things are… timeless?

• Guidance from 1915

Master the everyday, mundane but indispensible…

…tools of the trade:

• text editors
• version control (git)
• the command line

• Practice iterative and collaborative development of your projects
• Initiate and participate in code and project reviews
• Fail early, learn from it, and ask for help

My roles

Editor, Curator

• Lots of readings to be familiar with
• A few slides?
• Tons of links

Senior Developer

• debug
• readable
• reproducible
• present
• share mistakes!

Project manager

• 4 3-week sprints
• itemizing tasks
• estimating work
• dividing tasks
• revising!

Think about graphs like a data scientist

State menu patterns

Let's talk about…

After class

• Make a Github account if you don't already have one
• Fork the repo — your assignments will be in the form of pull requests!
• Install R and [RStudio] for next week's gentle intro to R
• Read about RMarkdown

Blogs

• Flowing Data
• Gelman
• Junk Charts
• R-bloggers
• Messing
• OKCupid
• chartsnthings

• FastCo Design

Fork and clone

git clone https://github.com/YOUR-NAME/qmssviz.git
cd qmssviz
git remote add upstream https://github.com/malecki/qmssviz.git