Seating for interview pairings is here
Please stay in touch with NJ!
I have a LinkedIn account
Great job this semester!
I love emails from students :)
NJ will be in her office or in this classroom during our final exam period on Tuesday if you have questions, etc.
Course evals - forward NJ the confirmation (individually)
I find it helpful if you give things to adjust and also things to keep the same
Consulting project interview assignment (individually, due Tuesday during our Final Exam Period)
Final consulting project, with edits based on interview (one per group, due Thursday of Finals Week)
Final Reflective report (individually, due Friday of Finals Week; opens this weekend)
Please wait to complete it until your consulting project is finished
In class:
NJ comments on Reflective Report #3 (Qualitative)
Many students had never seen qualitative work before; appreciated an experience of what it's like
Sampling:
interesting that it's not necessarily a case when you want a representative sample; disproportionate is the goal so as to capture minority opinions.
practice with what to do when things don't go as planned
Remember:
In Vivo & Concept codes are just ONE WAY to analyze;
Phenomenology and Grounded Theory are just two of MANY approaches!
Consulting Project Interviews (pairings)
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.
Last ~10 minutes: Connect with your group about what you learned.
I'm nearly finished with qualitative project grading.
Did I send you the peer feedback responses?
Draft of project is due May 15 at 11am if you want to complete the interview on Friday.
Consulting Project Interview Assignment is due during the final exam period, but most will complete it on Friday (preview is here)
Final consulting project w/ edits based on interview is due Thursday of Finals week.
Final reflective report due Friday of finals week
Please complete course evals! (1 pt required, 1 pt extra credit)
In Class
DataFest peer evaluations x3
Use this form to provide feedback (one per group)
Please Confirm: any groups *not* ready by Friday?
To do for this class:
Course evals - forward NJ the confirmation (individually)
Consulting project draft (due 11am Friday) (one per group)
Consulting project interview assignment (individually)
Final consulting project, with edits based on interview (one per group)
Final Reflective report (individually)
Consulting Project time
Please sit with consulting project groups
Late Homework deadline is Monday, May 11
Let NJ know if you do *not* want your datafest presentation shared with the client.
Work on consulting project; first data viz is due May 11. This is a soft deadline.
Any late Homework you'd like to submit due May 11 (see syllabus language below).
Optional:
check out Sarah Stoudt's resources on scrollytelling
In Class
Reminder of Consulting project timeline
May 11 first draft of your viz(s) "due"
May 15 is optional peer feedback time for your almost-final scrollytelling document. If you want to submit for this (at least two groups must participate) you may opt out of the final exam period.
Final exam period
Your main scrollytelling project is due;
Exam time is for peer feedback (if you haven't already done so on May 15)
Rearrange seating according to interest in scrollytelling / set free those who aren't interested
Closereads intro & resources
Here is a tutorial to install the plugin. I thought it was less helpful for the actual creation of a document.
Consulting Project time
Please sit with consulting project groups
Late Homework deadline is Monday, May 11
Let NJ know if you do *not* want your datafest presentation shared with the client.
Work on consulting project; first data viz is due May 11. This is a soft deadline.
Any late Homework you'd like to submit due May 11 (see syllabus language below).
Optional:
check out Sarah Stoudt's resources on scrollytelling
In Class
DataFest Peer Feedback (one video)
Use this DataFest Peer Eval form. (Complete it in groups)
Reminder of Consulting project timeline
May 11 first draft of your viz(s) "due"
May 15 is optional peer feedback time for your almost-final scrollytelling document. If you want to submit for this (at least two groups must participate) you may opt out of the final exam period.
Final exam period
Your main scrollytelling project is due;
Exam time is for peer feedback (if you haven't already done so on May 15)
Consulting Project time
Some students in my data science class are interested in organizing a new Data Club on campus. The club is intended for students who are interested in anything related to data, including data science, analytics, visualization, AI/ML, research, and real-world applications of data across different disciplines.
Currently, the students are looking for members as well as students who may be interested in taking one of the five leadership positions in the club.
The club hopes to organize activities and events in the future, such as:
Inviting guest speakers from different fields to discuss real-world data problems
Organizing workshops and discussions on data analysis
Supporting interdisciplinary collaboration and small research projects
Creating opportunities for students to explore careers and applications related to data
I was wondering if you know any students who might be interested in participating, either as general members or as part of the leadership team, please feel free to recommend students for the leadership position.
Here is the interest form:
Please feel free to share this with students who may be interested (Ideally before end of this week so that we can set up the club before end of the semester)
Thanks!
Please sit with consulting project groups
Coffee, Fruit & Donuts next Monday.
Superlatives voting due today!
Late Homework deadline is Monday, May 11 per the syllabus
See DATA club info above!
Work on consulting project; Ideally you have a draft of your insights/story by May 6. This is a soft deadline.
Any late Homework you'd like to submit (see syllabus language below).
In Class
DataFest Peer Feedback (one video)
Use this DataFest Peer Eval form. (Complete it in groups)
Consulting Project time
The DataFest trophy is at the trophy place!
Moving forward: please sit with consulting project groups
DataFest prizes: thanks for your patience! I'm working through them!
Coffee, Fruit & Donuts next Monday!
Keep an eye out for superlatives voting!
Work on consulting project; Ideally you have a draft of your insights/story by May 6. This is a soft deadline.
Late Homework deadline is Monday, May 11 per the syllabus
In Class
DataFest Peer Feedback (one video)
Use this DataFest Peer Eval form. (Complete it in groups)
Consulting Project time
Moving forward: please sit with consulting project groups
DataFest prizes: thanks for your patience! I'm working through them!
Math Senor Capstones on Friday; 348 class will be consulting project time.
Expect "invaders" in the class today starting around 1pm.
Work on consulting project; Ideally you have a draft of your insights/story by May 6.
In Class
Comments on DataFest reflective reports
students really valued the mentor meetings
I'm sorry I didn't think to warn students who might be triggered by the context.
Students liked having hybrid format for the closing ceremony.
Someone suggested hybrid for the kickoff too.
NJ wonders: did the online video for the closing celebration get better when we muted the classroom?
Consulting Project time
Moving forward: please sit with consulting project groups
DataFest prizes: thanks for your patience! I'm working through them!
Math Senor Capstones on Friday; 348 class will be consulting project time.
Work on consulting project
In Class
DataFest peer evals
Use this DataFest Peer Eval form. (Complete it in groups)
Introduce Consulting project
Project time
CITI training if not already
Qualitative & DataFest Reflective Reports if not already
rest. :)
In Class:
gganimate demos
DataFest peer evals
Use this DataFest Peer Eval form. (Complete it in groups)
well done on DataFest!
Friday's class cancelled to give space for completing CITI training.
CITI training!
DataFest Reflective Report due Wednesday
Opened on Sunday on Google Classroom
Qualitative Reflective Report due Friday
If you didn't come to class today: complete Qualitative critique on your own. (see Wednedsday's content page for instructions and peer qualitative projects)
On your own
Follow these instructions to complete the CITI training: https://www.plu.edu/hprb/students/step-3/#register
See "to do" list @ left for additional deadlines
Friday's class cancelled to give space for completing CITI training.
CITI training!
DataFest Reflective Report ( was due Wed)
Qualitative Reflective Report due Friday
If you didn't come to class Wednesday: complete Qualitative critique on your own
In class:
DataFest Recap
Multiple graphs on one screen - probably too small and too much at one time
Finished? Just say "thank you."
Watch out for cursor noise
On interactive Data Viz: https://nightingaledvs.com/building-tableau-dashboards-for-the-powerpoint-download/
Critique 1-2 DataFest submissions
Use this DataFest Peer Eval form.
Check out a Peer's Qualitative Project
Community groups trade
A critiques B and
B critiques A
Environment groups critique the one "after" yours
A critiques B
B critiques C
C critiques A
Complete Qualitative Peer Feedback (one per group, unless a group member is absent)
DataFest Kickoff via Google Meet today at 3pm
No class Monday, April 20
New DataFest mentor: Sola Genbro. Is anyone willing to switch to him for one of their mentor visits?
Student Life is seeking student candidates for 2026-27 Coordinator for Assessment, Evaluation, and Research position!
Qualitative project due April 17
In class:
DataFest Updates
NJ made mistakes on the registration form:
Food on Sunday (11:30 ish) and the Closing Celebration Program starts at noon
You can't use AI that trains on the data (I should have included this as a new disclosure agreement)
If your mentor isn't there, etc., just pivot.
Nick created a video for filtering & matching
Does anyone want a "space" for DataFest? Talk to Christine!
Finish Qualitative Project
No class today (April 15)
No class April 20
Student Life is seeking student candidates for 2026-27 Coordinator for Assessment, Evaluation, and Research position!
Consulting proj proposal - due today
Qualitative project due April 17
Registration: register during class if needed.
Grades: You should be able to see your grade on G.C. Let me know if not...
I'm behind on the reshape HW assignment
DataFest: there is NO food on Saturday (my mistake on the registration), but there IS food (lots!) on Sunday! Food arrives 11:30-ish, presentation begins at noon.
Does anyone want a "space" for DataFest? talk to Christine!
Internship opportunity (link)
No class April 15
Qualitative Work Days April 13 & April 17
No HW this week (Qual project; Consulting proposals due)
No class April 20 (DataFest Recovery)
Screen shot of a draft (one that you completed individually) was due today before class.
Consulting proj proposal - due Wednesday, April 15
One per group
Qualitative project due April 17
One per group
This deadline is soft
Coming next week:
DataFest reflective Report
Qualitative Project Reflective Report (with group evaluation)
Give a sense of the DataFest requirements
you need to submit your slides. Any insight is acceptable.
you need to interview your assigned mentors (you're welcome to interview more!)
see image below for DataFest reflective report questions
Move toward finishing 1-page summary with appendices
remember the themes (not the demographics ) are the main point.
final submission will be one pdf file
review work that has been done by your peers according to the rubric
Pay attention to point values in rubric to get a sense of the depth/importance of each appendix
Decide whether your group needs to meet on Wednesday (optional)
If necessary: connect with consultig project group/ talk to people & make a plan to meet Wednesday if needed.
Registration: register during class if needed.
DataFest: there is NO food on Saturday, but there IS food (lots!) on Sunday!
Internship opportunity (link)
No class April 15
Qualitative Work Days April 13 & April 17
No class April 20 (DataFest Recovery)
Coding due today before class
Draft your appendices for Qualitative Project, submit screen shot by Monday
Consulting proj proposal - due April 15
One per group
Qualitative project due April 17
One per group
Discuss Concept Codes
Discuss drafts completed thus far.
Assign remaining first drafts
submit screen shot of at least one first draft you (individually) completed by Monday
Begin to put together the 1-page executive summary w/ appendices
Meet with your adviser (possibly me!) if you haven't yet done so! (after class?)
See Timeline @ Right
No class April 15
Qualitative Work Days April 13 & April 17
No class April 20 (DataFest Recovery)
Conduct 1st round of qualtative coding analysis (In Vivo Codes AND Concept Codes)
Write First draft of Appendices.
Submit Consulting project proposal - due April 15
Qualitative Project Due April 17
Find DataFest Group or fill out group formation form on website- do ASAP.
CITI training, especially if you're doing human subjects data
Qualitative Project (finish before DataFest):
Friday: (Bring Your In Vivo & Concept Codes) Meet in groups to discuss Concept Codes & Determine Themes
Next Monday: (Bring First Drafts of Appendices & One-pager) In class: review & make edits, put it together
Wednesday & Friday: Goal is to Finish Qualitative Project before Friday
April 17-19: DataFest
Friday: Opening Ceremony (Google Meet) 3 pm
Data Released immediatlely after Opening Ceremony to all registered participants
Friday/Saturday: Meet with your assigned mentors, create your video presentation
Sunday: 10am submissions are due
Closing Celebration (hybrid format, food in Morken 214) Sunday at noon.
After DataFest:
Monday April 20: take a day off
Starting Wednesday April 22: Consulting projects & a few other coding assignments, but the class is much "lighter" in terms of workload.
Register for DataFest: link
Sign up for DataFest Discord Server: link
Sign up for DataFest Mentor Interviews: link
Discuss Qualitative Project Components.
Consulting Project Meet & Greet
No R coding HW this week (You have Qualitative Coding to do)
Career fair (see flyer from last week)
Conduct 1st round of qualtative coding analysis (In Vivo Codes AND Concept Codes) - Submit screen shot on Google classroom before class Friday (Hard Deadline)
If Applicable: Write First draft of Appendices:
Making Biases Explicit
Sampling plan
Submit Consulting project proposal - due April 15
Find DataFest Group or fill out group formation form on website- do ASAP.
CITI training, especially if you're doing human subjects data
In groups:
Remind your group how to refer to you
Data Viz image @ left:
What do you notice/take away? What do you wonder?
A nice (static) scrollytelling example
Qualitative Project Next Steps
Prepare data for Round 1 of coding (melt or pivot_longer functions)
Pilot coding/ ask questions if you have them.
Discuss how data collection went - person writing appendix on data collection take notes on what adjustments were needed, etc.
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, Statistics or Data Science Major/Minor
Career Fair (see flyer @ right) & pre-fair workshop (also on flyer)
DataFest April 17-19
This class does not meet April 20 (DataFest recovery)
Stay tuned about April 15 and April 17.
Qualitative Data Collection (with memos) due Monday - hard deadline
HW 06 due Monday- soft deadline
Complete CITI training if applicable
Begin thinking about consulting project
Optional: watch the videos @ right on melting and casting
In class:
Consulting project meet and greet - google doc
NJ introduces "reshape" package main ideas
melt (analogous to pivot_long)
cast (analogous to pivot_wide) - NJ's code
talk from Hadley Wickham with a nice animation
Work on HW 06 / Check in with qualitative groups if needed
Need more help?
Video about melting data (i.e., going from wide to long format)
Video about casting data (i.e., going from long to wide format)
Hadley Wickham talking about pivot_long() and pivot_wide() from tidyr (the nice animation is within the first 8 min).
Announcements
Welcome back!
Why Swipe Right event on Wednesday before this class...(see flyer @ right)
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 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
See image caption from above; Islanders go to sleep at night; plan accordingly
HW 06 due Thursday (we will introduce & give time in class Wednesday.).
Coming soon: consulting project proposal (it will involve settling on a group and a dataset)
In class:
In groups (~3 min)
Discussion of HW 05 (Outliers part 2)
Graded based on strength & clarity of the argument
Some examples of student work
Don't use arbitrary-ish numbers to define outliers when there is a stronger story/argument for a class or type to remove.
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)
This student jittered the outliers in the boxplot.
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.
Pro tip: Skim the transcripts and then push next if it gets boring
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
Pro tip: Skim the transcripts and then push next if it gets boring
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)