Exploratory Data Analysis and Visualization
Who are you?
What do you already know how to do?
Some administrative bits
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 constant development
- D3 last point release in December
- Upshot New features weekly?
Some things are… timeless?
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
- help with presentation structure
- help project organization
- divide tasks
- the simplest thing that could possibly work
Think about graphs like a data scientist
State migrations
100 people
Diversity at Yahoo!
Huh?
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
- Git intro
- Another intro video
- Git workflow for beginners
- Forking
- Training and Guides
- Sharing and Collaborating
Fork and clone
git clone https://github.com/YOUR-NAME/edav.git
cd edav
git remote add upstream https://github.com/stat4701/edav.git
