On Monday we will focus on data visualization and data wrangling in R using RStudio.

Morning session

Welcome and introductions (9:00–9:30)

Data visualization in R (9:30–10:20)

Principles of data visualization

Taxonomy of data graphics ( | )

Activity: Deconstructing data graphics

Visual cues (include position as well):

For each of the following four data graphics:
Answer the following three questions:
1. Identify the visual cues used
2. How are the variables mapped to the visual cues?
3. Summarize the real-world meaning in one sentence

Creating data graphics with ggplot2

Introduction to ggplot2 ( | )

Morning break (10:20–10:30)

More data visualization using ggplot2 (10:30–12:00)

Introduction to mosaic::mplot()
Weather and storms ggplot-example.Rmd
General check in on the morning and the workshop and plans for the week

Lunch (12:00–1:30)

You can make your own plan or eat together at Oriental Taste, 41 Main Street. We’ll take a head count in the morning to see how many. There are both indoor and outdoor seating options.

Afternoon session

Data wrangling in R (1:30–2:50)

Wrangling one table with dplyr

Single table analysis ( | )
Understanding the pipe operator ( | )
Short activity: practice using the five verbs
Aggregating and summarizing ( | )
Short activity: practice aggregating and summarizing

Wrangling two or more tables with dplyr

Joining two tables with dplyr ( | )
NYC flights nycflights-example.Rmd

Work on implementation plans (2:50–3:30)

Group A, supported by Ethan and Andrea:
- Brian Candido (DSC-WAV co-PI)
- Andrew, Ed, Eileen, Renee, Wesley
Group B, supported by Nick and Emma:
- Ileana Vasu (DSC-WAV co-PI)
- Eric and Nic
Group C, supported by Ben and Sunni:
- Eben Afarikumah (DSC-WAV co-PI)
- Beth, Charu, and Mya

Evening session (remote by appointment)

Set up a time with Sunni or Emma via Slack

Monday schedule