Announcements
Welcome back!
NJ returns Intro to Islands
Easter Break on Friday 4/3 (no classes)
Registration/Advising the next two weeks
Consider courses @ right
Make an appointment to meet with your adviser!
Talk to NJ if curious about Math, Applied Math, or Data Science Major
Talk to NJ if curious about Math, Stat, or Data Science Minor
Wednesday: Why Swipe Right on Upper Division Math Courses Wednesday 11:50-12:10 Morken 214
Wednesday we will introduce HW 06 & include time in class to complete it. Hopefully you can submit it without spending extra time outside of class
To Do
HW 00 due today
Top priority: Due Monday, April 6(?) before class: complete your data collection & take a screen shot of your data with your name AND YOUR MEMOS
Islanders go to sleep at night; plan accordingly
HW 06 due Thursday (we will introduce & give time in class Wednesday.).
In class:
In groups (~3 min)
Qualitative Project
NJ does example data collection with memos (~15 min)
In Groups: Goals for Today (this might be too much?).
Data Storage Preparation (~15 min)
Pilot your data collection (~15 min)
If time: Discuss biases (~6 min)
Have a wonderful spring break!
You should be able to see your current grade in G.C.
Please DO NOT begin sampling your Islanders; wait until you have approval & more instruction.
Submit intro to Islands packet to NJ (in class)
Complete "Making Biases Explicit" on Google Classroom
HW 00 due Monday after spring break (March 30)
Figure out your DataFest team soon.
In class:
Qualitative Project Next Steps
Notice how not all appendices are equally important
NJ slides to streamline the process for you.
*These slides are terrible; bear with me
Discuss Sampling plan with group
Share out Sampling plan with class
Adjust sampling plan as you see fit.
If time:
Assign Appendices to group members
Assign first draft the overall one-pager
Discuss Making Biases Explicit with group
Please fill out Topic Preferences form *now* if you haven't already done so.
Math Alum Panel (lots of data science!) tonight!
Friday's class is important - or might be postponed to after spring break
In class:
Comments on reflective report #2/midterm feedback (slides)
In groups
How to refer to you, share email if not already.
What is your favorite/least favorite insect & why?
Comments on on group's topic.
Intro to Qualitative Research (slides - intentionally not shared with anyone; here are the redacted slides open to anyone)
Discuss Making Biases Explicit task
Finish Intro to the Island
new groups (Must be logged in to PLU to view)
Math Alum Panel (lots of data science!) Wednesday
Qualitative Project: There will be a lot of tasks completed in class (like today!)
Data Viz project Reports due today (2nd cohort)
Make sure you can log into The Islands
HW 00 due Friday
Complete CITI training (optional-ish)
Skim Qualitative Study example:
How to refer to you
Favorite book or book series when you were a kid (or favorite now)
If you could travel anywhere for spring break, with a budget of $800, where would you go and why?
Excellent job!
Consider whether you want to show the final product first.
Chronological order of your process isn't always ideal.
Text analysis is completely different from qualitative analysis.
I wanted to insert this assignment here so that you have an experience to compare to, and because there is a week or so before the qualitative project heats up in terms of work outside of class.
Intro to Islands and Sampling (one per group)
New groups starting next week; email me seating requests by tomorrow 9am.
Alumni panel next week! (see flyer @ right)
HW 05 due Friday.
Data Viz final reports due March 13 (Monday presenters) or March 16 (Wednesday presenters)
Read this Qualitative Study example by Monday:
In class:
Work on whatever you need to do
Friday's class: Workday on HW, Data Viz Reports
New groups starting next week; email me seating requests by tomorrow 9am.
HW 05 due Friday.
Data Viz final reports due March 13 (Monday presenters) or March 16 (Wednesday presenters)
Read this Qualitative Study example by Monday:
In class:
Part of Data Viz score is based on your evaluations of peers' presentations. The form is here.
Data Viz Presentations
Aidan
Chaos
Abel/Suhaib/Mahnoor
Damaris
Meghan
If time allows:
laws, history, and ethical practices working with human data
part of the miscellaneous grade
about 2% of your overall grade
~3 hours to complete?
required if you want to work with human data for your consulting project
Wednesday presenters have slides deadline Wed 11am
Friday's class: Workday on HW, Data Viz Reports
HW 05 due Friday.
Data Viz final reports due March 13 (Monday presenters) or March 16 (Wednesday presenters)
Read this Qualitative Study example by Monday:
In class:
DataFest: need help finding a group? There is a group formation questionnaire on the PLU DataFest website.
Wednesday Data Viz presenters have pdf of slides deadline Wednesday 11am (not Monday).
Part of Data Viz score is based on your evaluations of peers' Data Viz presentations. The form is here.
1st gen? Consider this scholarship. Deadline is extended to March 31.
HW 04 (short) due today.
Data Viz presentations on Monday, March 09.
Data Viz final reports due March 13 (Monday presenters) or March 16 (Wednesday presenters)
In class:
Data Viz presentations: MAX of 5 min. Penalized if you go over 5:15. No penalty for being short, but you need to cover the content in the rubric.
Determine Data Viz Presentation Order/ day Assignments (link NJ only)
Anyone want to go first? Any other order requests?
MONDAY:
Randy/Gabe/Alex/Max
Cody/Corbin/Andrew
Viktoria / Tris
Alton/ Jake
Hoda / Ember
Meghan
WEDNESDAY:
Aidan
Chaos
Abel/Suhaib/Mahnoor
Damaris
Comments on HW 05 coming up next week
Outliers: how do you avoid letting them skew your results?
No clear procedures; you make a decision and it will often affect your results!
some strategies:
Look at context (why would this be from a different population)?
Look for natural gaps in data
Avoid algorithms—if there could be a better reason.
Try with and without (does it change the results?)
Whatever you choose, justify your decisions!!!
Data Viz/ HW time
Friday's 10:30 office hours cancelled for a teaching observation
DataFest: need help finding a group? There is a group formation questionnaire on the PLU DataFest website.
HW 04 (short) due Friday.
Data Viz presentations on Monday, March 09 or Wednesday March 11.
Data Viz final reports due March 13.
NJ noticed something about our discussion from last time... (see images below.)
Data Viz Interviews
Remind your partner how to refer to you
Person closest to the door goes first
at ~20 minutes NJ will give the call to switch. You're welcome to switch sooner, or to ask follow-up questions. (This is your time!)
20 minutes for other partner, use the time to get responses and to ask follow-up questions.
Lat 10 minutes: NJ discusses Data Viz Presentations in more detail.
Format is about the same as DataFest
Rubric is given in the Data Viz Instructions (see step 9)
Things things previous years' students did well
I appreciate the honesty people had: I tried this; this worked & this didn't.
Constructive Criticism/Suggestions from last year
Think about color
Morning Office hours might be cancelled on Friday.
HW 04 opened today. It is intentionally short.
Friday's 10:30 office hours cancelled for a teaching observation
Data Viz: Can I deviate from my proposal? YES!
Reflective Report #2 due today
Data Viz Interviews on Wednesday - bring your viz ready to pilot!
HW 04 (short) due Friday.
Data Viz presentations the following Monday, March 09.
Data Viz final reports due March 13.
In Groups:
How to refer to you
Image: Color Brewer pallettes: what is the difference between the three groups of pallettes?
Data Viz Presentations
Format is about the same as DataFest
Rubric is given in the Data Viz Instructions (see step 9)
Discussion of HW03 plots (slides)
Time to work on Data Viz or HW 04
https://www.gapminder.org/tag/gapminder-world/
groups (Must be logged in to PLU to view)
Data Science for Environmental Health online course (free)? Apps due March 15 https://daseh.org/
Exchange contact info with the group member sitting beside you (this is your assigned interview from this class).
Suhaib: I haven't forgotten your request....
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.
Think about consulting project data you'd like to analyze... not due for a couple weeks but good to keep in mind
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)