Announcements

Dear all, Canvas is now back online, and Lab 3 is due tonight (October 21).

We will not have class on Tuesday, October 22, as I’ll be attending the ACSP Annual Conference 2025 in Minneapolis. Please use this time to continue working on Lab 4 and try to explore more possibilities of ggplot2! Lab 4 will be due next Wednesday (October 29).

Next Monday (October 27), we’ll welcome Drew Dolan (Principal, DXD Capital) for a guest lecture on data-driven real estate investment. Please participate in person if you are available.

Dear all, thank you for submitting Lab 2, and you are doing a wonderful job! Here are the descriptive statistics: Mean: 15.4; Median: 15.8; Standard Deviation: 1.2.

For Lab 3, please notice that there are five questions, even though only two are shown in the HTML table of contents: (1) Handle Missing Values; (2) The Variety of Histograms; (3) The Variety of Boxplots; (4) Review Diagrams; (5) Explore National Mortgage Database.

Next week, we will not have class on October 22 because I’m heading to Minneapolis for the ACSP Annual Conference 2025. Please use the time to work on the following Lab 4. Also, my office hours availability will be very limited next week, and my response may have some level of delay. Sorry for that!

Hi all, thanks for submitting the first lab and all has done a fatalistic job!

Things are getting complicated for the lab 2. So, please be free to book online/in-person office hour here if you encounter any technical problems in the assignment.

For GitHub, you need to commit and push your lab 2 to the GitHub repo. You don’t have to publish your lab as a webpage (like we did on Wednesday), but it will be pretty cool that show those works as a webpage you’ve done with others! We will talk more about making webpages later!

For the final project, please email me or form the group on Canvas if you have not done: details here!

Dear all, I know that, for many of you, coding can feel challenging at the beginning. After all, we are communicating with computers in a new language and logic. To help you navigate the first few weeks, I have made some adjustments and would like to emphasize a few points about the labs.

1. Please review the example codes of lab 1 in rmd or this page and test the codes using your RStudio. You can find almost all key points for the TODO tasks.
2. You can work on lab-01.rmd directly for the lab or create a new .rmd file. Please submit both .rmd and .HTML files on Canvas.
3. If you have any clarification and coding questions, please first post them on Ed Discussion, especially on the lab 1 megathread if the question is about lab 1 and please help others if you can!
4. Lab 1 will be due next Monday (Oct 6) and we do have a late days policy. If you need accommodations and please contact Disability Resources for Students (DRS).
5. I will open more time slots for office hours and please book them online here.
6. I will record all future in-class lab sessions so that you can review them later if needed.

Meanwhile, if you are interested in getting access to CoStar during this quarter, please follow the instructions to apply before next Monday (Oct 6).

CSDE (Center for Studies in Demography and Ecology) is hosting a panel on Housing, Urban Development, and Displacement. More information on their event page:

• Tim Thomas, Chief Research and Data Officer, King County Regional Homelessness Authority (KCRHA)
  • Talk Title: The Housing Precarity Risk Model: Predicting Displacement and Eviction Risk in a Post-COVID U.S.
• Will von Geldern, PhD Candidate, Evans School of Public Policy & Governance
  • Talk Title: Measuring Displacement: Using Mixed Methods to Understand Eviction Outcomes

Location: Parrington Hall Room 360; To Join By Zoom: Register here

Time: 12:30-1:30 PM PT, Oct 3, 2025

CSDE generally hosts lots of lectures, such as A Portrait of the Unhoused Population of Seattle in 2023 on October 10, 2025. See their whole autumn seminar here.

Welcome to RE 519 Data Analytics and Visualization in Autumn 2025. We are looking forward to meeting you in person on our first day of class (Wednesday, September 24, 2025). The course website will be the main place for all course information and materials. We will use Canvas as a place for submitting assignments and for grading purposes. Ed Discussion will be used for announcements, discussion, and technical questions.

Before the first class on Wednesday, September 24, 2025, please:

1. Finish the pre-class survey.
2. Look through the readings for this class on the course website.
3. Look through the Lab 1 Part A and try to install R and RStudio in advance. No worries if you encounter any trouble, we will install them in the first class.
4. Bring your laptop, no matter whether Windows, Mac, or Linux, to each class!