| Week | Date | Topic | Prepare | Due | |
|---|---|---|---|---|---|
| 1 | Mon, Aug 26 | Lec 0 | Welcome + Introducing your Toolkit |
π socviz - Chp 1 |
|
| Wed, Aug 28 | Lec 1 | Deep dive into ggplot2 layers I |
π ggplot2-book - Chp 13 |
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| 2 | Mon, Sep 2 | No Class | Labor Day |
π HW 0 |
|
| Wed, Sep 4 | Lec 2 | Deep dive into ggplot2 layers II |
π ggplot2-book - Chp 16 |
β RQ 1 |
|
| 3 | Mon, Sep 9 | Lec 3 | Data wrangling I |
π R4DS - Chp 6 |
π HW 1 |
| Wed, Sep 11 | Peer review | Project I Peer Review |
π Project 1 proposals for peer review |
||
| 4 | Mon, Sep 16 | Lec 4 | Data wrangling II |
π R4DS - Chp 19 |
π Project 1 proposals for instructor review |
| Wed, Sep 18 | Lec 5 | Visualizing densities I |
π ggplot2-book - Chp 5 |
||
| 5 | Mon, Sep 23 | Lec 6 | Visualizing densities II |
||
| Wed, Sep 25 | Lec 7 | Data wrangling III |
π R4DS - Chp 20 |
β RQ 2 |
|
| 6 | Mon, Sep 30 | Lec 8 | Visualizing time series data I |
π fdv - Chp 13 |
|
| Wed, Oct 2 | Lec 9 | Visualizing time series data II |
π fdv - Chp 14 |
π HW 2 |
|
| 7 | Mon, Oct 7 | Lec 10 | Themes + Axes + Annotation |
π₯ Reporting and visualising the pandemic by John Burn-Murdoch |
|
| Wed, Oct 9 | Lec 11 | Presentation ready plots |
π fdv - Chp 29 |
β RQ 3 |
|
| 8 | Mon, Oct 14 | Lec 12 | Data visualization accessibility |
π The Right Tools for the Job by Frank Elavsky |
|
| Wed, Oct 16 | Midterm | Project 1 presentations |
π Project 1 |
||
| 9 | Mon, Oct 21 | Lec 13 | Du Bois visualizations Final Project Preview |
||
| Wed, Oct 23 | Lec 14 | Visualizing Likert data |
π fdv - Chp 10 |
||
| 10 | Mon, Oct 28 | Lec 15 | Visualizing Uncertainty |
π fdv - Chp 16 |
π HW 3 |
| Wed, Oct 30 | Lec 16 | Visualizing geospatial data I |
π fdv - Chp 15 |
β RQ 4 |
|
| 11 | Mon, Nov 4 | Lec 17 | Visualizing geospatial data II |
π sf vgnette 1 + π sf vgnette 2 + |
|
| Wed, Nov 6 | Lec 18 | Visualizing geospatial data III |
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| 12 | Mon, Nov 11 | No Class | Veterans Day |
||
| Wed, Nov 13 | Peer Review | Project 2 proposal peer review |
π Project 2 proposals for peer review |
||
| 13 | Mon, Nov 18 | Lec 19 | Animation |
π gganimate vignette |
π Project 2 proposals for instructor review |
| Wed, Nov 20 | Lec 20 | Interactive visualizations + reporting with Shiny I |
π ms - Chp 1 |
π HW 4 |
|
| 14 | Mon, Nov 25 | Lec 21 | Interactive visualizations + reporting with Shiny II |
π ms - Chp 3 |
|
| Wed, Nov 27 | No Class | Happy Thanksgiving π¦ |
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| 15 | Mon, Dec 2 | Lec 22 | Dashboards I |
π What is a Dashboard |
|
| Wed, Dec 4 | Lec 23 | Dashboards II |
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| 16 | Mon, Dec 9 | Lec 24 | Tables |
π Jon Schwabish - Ten Guidelines for Better Tables |
π HW 5 |
| Wed, Dec 11 | Lec 25 | Generative art |
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| Finals | Fri, Dec 13 | Final | Project 2 presentations @ 1:00 - 3:00pm |
π Project 2 |
INFO 526: Data Analysis & Visualization
Dr. Greg Chism
This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses and the timeline of topics and assignments might be updated throughout the semester.