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groups (Must be logged in to PLU to view)
Exchange contact info with the group member sitting beside you (this is your assigned interview from this class).
HW 03 due Friday
Reflective Report #2 due Monday
Bring Data Viz Candidates to class Wednesday of next week so that you can conduct your first "interview" with your assigned classmate.
Begin thinking about consulting project data you'd like to analyze
In class:
In Groups:
gapminder video classic data viz example: https://www.youtube.com/watch?v=jbkSRLYSojo
Next step on Data Viz: Everyone conducts at least 2 interviews (completed & submitted individually)
Exchange contact info with the group member sitting beside you; this is your assigned interviewee from this class
Wednesday of next week: bring your viz so you can get feedback from your interviewee!
Time to work on HW 03/ Data Viz
Jenny Bryan at PLOTCON 2016: "Behind every great plot there's a great deal of wrangling"
In class:
NJ's R tips for the day
Tips on HW3
use ifelse() function
Reminder: When you're interpreting a plot, point to the specific feature of the plot that helps you draw the conclusion
We will critique eachothers' graphs for the last part, so do a good job & be ready to receive feedback!
Time to work on HW 03/ Data Viz
Kathy O'Neil, author of Weapons of Math Destruction, gives a TED talk:, "The era of blind faith in big data must end."
NJ still working on grading data viz proposals
Friday: Career services talk
HW 3 due Friday 3pm
Data Viz projects: pause until you get approval from NJ
In class:
Comment on the quiz... the class is divided on the 3rd question. NJ hasn't released the scores to enable more authentic discussion
Here are the readings:
HW 03 time
HW02 due today
Data Viz proposal due today. Read Data Viz instructions
By Monday: Complete these readings:
Complete Quiz vy Monday's class time
Discuss this bar chart race blog
Tools and Resources for DataViz project:
ggplot can make nice maps! Streetmaps blog post
Example of ggplot2: state map plots
there are a lot of ggplot extensions
Shiny Apps are a common extension
A. Zieffler's intro to ggplot 2 that breaks down how it works.
Time to work on HW02 or Data Viz proposal
HW02 due Friday
Data Viz proposal due Friday. Read Data Viz instructions, through page 3
Please remind NJ to stop w/ about 15 min left to class for HW 02.
Discuss Data Viz
Critique different approaches in this bar chart race blog
Group slides: Bar chart critique and data viz discussion.
Tools and Resources for DataViz project:
Intro to ggplot2 package... See cheat sheet
My guru's Intro to ggplot 2 and resources page (including, but not limited to colorblindness awareness stuff)
Napa Cards https://napa-cards.net/
No Class Monday, Feb 16 (Holiday)
Syllabus spotlight: Office Hours
NJ has office hours after this class until 1:35 MW, and MWF 10:30-11:15, and by appointment.
HW02 deadline pushed back to Wednesday of next week.
See reading assignments from Wednesday
Data Viz Approval (1 point) due Friday.
On your own:
Please review any materials posted for Wednesday that you didn't get to
Optionally, check out this interview with a statistical consultant.
No Class Monday, Feb 16 (Holiday)
Syllabus spotlight: Office Hours
NJ has office hours after this class until 1:35 MW, and MWF 10:30-11:15, and by appointment.
HW02 Due Friday we will schedule some time in class to exchange book titles with eachother
See reading assignments @ right
Data Viz Approval (1 point) due Friday.
On your own:
Start the HW; bring questions to class Friday. There will be time Friday in class to exhange data with classmates.
Look over these ggplot2 resources:
skim this cheat sheet to see some ideas of what you can do with ggplot2.
read A. Zieffler's intro to ggplot 2 that breaks down how it works.
Skim Grolemund & Wickham (2017) Ch. 3 from R for Data Science
Read Tufte Excerpts on Data Viz:
look for data viz principles we can add to our list with the Gelman article principles.
Data Viz Approval due Friday. See last page of Data Viz instructions. Need a graph or data and a group. Email NJ if you need help finding a group.
If Quarto isn't working on your device, try nb or markdown instead!
Read Gelman et al (2002) by Wednesday
HW02 Due Friday
Data Viz Data & Group due Friday. (1 pt)
In class:
Discussion of the quiz
Ethics Discussion:
Discuss readings on Ethics... intro slides
Rao & Andre (2011) summary of the MMR & Autism Vaccine story
Discuss last question on the quiz
Angwin et al (2016) investigation of the recidivism algorithm
Hadley's 4 positives of code (from last Wednesday)
Work on Data Viz project
Work on HW 02.
Data Viz project is available on GC - Data Selection due next Friday
Quiz due Monday
Syllabus Spotlight:
Hard deadlines for quizzes: After the answers are released, it's done.
Today: Finish HW 01 (3pm deadline is soft)
By Monday's class time:
Quiz 02 (based on these readings on Ethics in Data Science)
Rao & Andre (2011) summary of the MMR & Autism Vaccine story (~1.5 pages)
Angwin et al (2016) investigation of the recidivism algorithm with lots of pictures. :)
In class:
Feedback from Reflective Report
Nervous about R? NJ is happy to help!
Regarding Group projects:
DataFest conflicts:
Finish up Hadley Wickham's talk from last time
Brief overview of Data Viz Project (on G.C.)
~10 minutes to talk with peers about ideas for data viz project. (slides)
Intro to Quarto (notes)
Students work on HW 1 & Data Viz Project
Start looking for a data visualization you'd like to critique/redo (or a data set).
Read Gelman (2002) and other selected data viz readings to prepare for data viz project & quiz. Hint: Write down principles of good data viz.
groups (Must be logged in to PLU to view)
Welcome! I am Dr. Justice!
Best way to reach NJ is via email
Due Today
Join our GC Site (see email)
Syllabus Quiz 1 (~5 min)
Reflective Report #1 (~20 min)
Due Friday-ish
Download R & R-Studio... (see resources)
HW 1 (Not quite ready yet; we will have class time to work on it.)
Optional: Email NJ project ideas
In class:
Important websites:
How to reach the syllabus
How to reach this Weekly Content Page
This is your GO TO (not Sakai).
Intro to the Course, (link to slides; must be logged in to PLU)
GUI vs. CLI. (link to group slides)