Data Analytics and Visualization
RE 519, Runstad Department of Real Estate, University of Washington, Autumn 2025
Monday & Wednesday, 2:30 - 3:50pm, Mechanical Engineering Building 245
Haoyu Yue (Pre-doctoral Instructor), [email protected], Schedule Office Hours
Lab Sessions
Lab 1 - Basic of R and RStudio
Covers setup of R, RStudio, and GitHub, basic R and Markdown skills, and accessing Census data for simple data exploration and reproducible analysis.
Lab 2 - Data Wrangling for Dataframes
Focuses on data wrangling with tidyverse—modifying, summarizing, and joining dataframes, sampling for the Central Limit Theorem, and using GitHub for version control.
Lab 3 - Preparing Data for Visualization
Introduces tidy data and exploratory data analysis (EDA) with ggplot2, including data cleaning, handling missing values, and basic visualizations using the Zillow Home Value Index.
LAB 4 – Visualization Using R and ggplot2
Focuses on data visualization design principles and implementation using ggplot2, exploring aesthetic mappings, scales, and themes for expressive, effective, and ethical graphics.
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Built on Just the Class developed by Kevin Lin at Allen School