Week 2 - Visualizing data

Data visualization and interpretation of graphical information 📊

Berries. Photo by William Felker on Unsplash

Tasks

Topic Intros

No.
Title
Slides
01 Visualizing data with ggplot2
02 Visualizing numerical data
03 Visualizing categorical data

Class Activities

Activity
Title
Date
Topic Intro Data Visualization Tue, 24 Sep
Topic Intro Data Visualization Wed, 25 Sep
Lab 02 Plastic waste Fri, 27 Sep

Assignments

Assignment
Title
Due
Due this week
R 01 Data Science By Whom? Mon, 23 Sep, 23:59 EST
Lab 01 Hello DCS! Thu, 26 Sep, 23:59 EST
HW 01 Pet names Fri, 27 Sep, 23:59 EST
Q 01 Visualizing Data Sun, 29 Sep, 23:59 EST
Due next week
Lab 02 Plastic waste Thu, 3 Oct, 23:59 EST
HW 02 Airbnb Listings Edinburgh Fri, 4 Oct, 23:59 EST
Q 02 Data wrangling Sun, 6 Oct, 23:59 EST

If you’re having difficulty accessing your HW or Lab repo, see troubleshooting advice here.

Readings

đź“– R4DS::Chp 3 - Data visualisation Required
đź“– IMS::Chp 4 and 5 - Exploring Categorical Data and Numerical Data Required
📌 Debugging Tip: Bugs Teach You by Julia Evans Optional
đź“„ Make a plot Optional
📊 ggplot2 FAQs Optional
đź“„ How to read an R help page Optional
📄 rOpenSci’s Reproducibility Guide Optional

Interactive R tutorials

The following are interactive R tutorials, designed to give you more practice with R. These are optional, but the “Airbnb listings in Edinburgh” dataset show up in your next homework assignment as well, so you might want to go through that one so that you can gain familiarity with it. If you’re struggling with any of the topics covered this week, I strongly recommend you work through the second tutorial as well.

Airbnb listings in Edinburgh Related to HW 02
Data Visualization Basics* Extra practice

*N.B. The rstudio primers are no longer being maintained but I am hoping to find some alternatives to give you practice.