3 Schedule

The list of topics is tentative and the pacing is subject to change depending on how much we cover each day. We will aim to stick to the due dates outlined below. If a deadline needs to change due to unforeseen circumstances, it will be push until a later date, never pulled up to an earlier date.

Week

Date

Topic

Readings

Due

1

Wed, Aug 25

Welcome

Fri, Aug 27

Grammar of Graphics

Wickham et al., Chp 13

Survey: Getting to know you

2

Mon, Aug 30

Lab: Meet the toolkit

Wed, Sep 1

Looking at data

Healy, Chp 1

RQ 1

Fri, Sep 3

Deep dive: geoms

Wickham et al., Chp 14

3

Mon, Sep 6

Lab: Work on HW

Wed, Sep 8

Deep dive: stats + scales + guides

Wickham et al., Chp 15

HW 1

Fri, Sep 10

Data wrangling I

Wickham and Grolemund, Chp 12 + Chp 13

4

Mon, Sep 13

Lab: Work on Project

Wed, Sep 15

Data wrangling II

Wickham et al., Chp 16

RQ 2

Fri, Sep 17

Deep dive: coordinate systems + faceting + themes

Wickham et al., Chp 17 + Chp 18

5

Mon, Sep 20

Lab: Project 1 peer review

Wed, Sep 22

Guest lecture by Dr. Claus Wilke: Color scales + Color spaces and color-vision deficiency

Wilke Chp 4 + Chp 19

HW 2

Fri, Sep 24

Deep dive: Axes and annotation

Watch: Reporting and visualising the pandemic by John Burn-Murdoch

6

Mon, Sep 27

Work on Project

Wed, Sep 29

Presentation ready plots

Wilke Chp 29

Fri, Oct 1

Project 1 presentation

Project 1

7

Mon, Oct 4

No lab: Fall break

Wed, Oct 6

Visualizing time series data

Wilke Chp 13 + Chp 14

RQ 3

Fri, Oct 8

Visualizing geospatial data I

Wilke Chp 15

8

Mon, Oct 11

Lab: Work on HW 3

Wed, Oct 13

Visualizing geospatial data II

HW 3

Fri, Oct 15

Visualizing text and network data

Wickham et al., Chp 7

9

Mon, Oct 18

Lab: Work on Project 2

Wed, Oct 20

Guest lecture by Kieran Healy: Facets + compounding

Wickham et al., Chp 9

Fri, Oct 22

Animation

RQ 4

10

Mon, Oct 25

Lab: Work on Project 2 and/or HW 4

Wed, Oct 27

Visualizing uncertainty

Wilke Chp 16

HW 4

Fri, Oct 29

Visual inference

Talk: Di Cook - To the Tidyverse and Beyond

11

Mon, Nov 1

Lab: Work on Project 2

Wed, Nov 3

Tables

Paper: Jon Schwabish - Ten Guidelines for Better Tables + Blog post: Tom Mock - 10+ Guidelines for Better Tables in R

RQ 5

Fri, Nov 5

Interactive reporting

Wickham Chp 1 + Chp 2

Project 2 proposal

12

Mon, Nov 8

Lab: Project 2 peer review

Wed, Nov 10

Interactive visualization

Wickham Chp 3 + Chp 7

HW 5

Fri, Nov 12

Accessibility

Amy Cesal - Writing Alt Text for Data Visualization

Project 2 re-proposal

13

Mon, Nov 15

Lab: Work on Project 2

Wed, Nov 17

Guest lecture by Ijeamaka Anyene: Computational art

Video: Ijeamaka Anyene - aRt + ggplot: exploring radial visualizations

Fri, Nov 19

Generative art

Blog post: Danielle Navarro - Unpredictable paintings

14

Mon, Nov 22

Lab: Work on Project 2

Wed, Nov 24

No class: Thanksgiving

RQ 6

Fri, Nov 26

No class: Thanksgiving

15

Mon, Nov 29

Lab: Project 2 peer review

HW 6

Wed, Dec 1

Communicating data science results

Fri, Dec 3

Project 2 presentation

Project 2


  1. Optional. This is an opportunity to improve your score on the Project 2 proposal by integrating feedback from the first round by this deadline. If you’re happy with your Project 2 proposal score, you do not need to submit anything for this assignment.

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