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James Yu

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Exploratory Data Analysis and Visualization - gganimate
Exploratory Data Analysis and Visualization - Lecture 16 Geospatial Data 1 - Vectors
Exploratory Data Analysis and Visualization - Lecture 15 Lists, Loop and Functionals
Exploratory Data Analysis and Visualization - Lecture 14 Dates and Time
Exploratory Data Analysis and Visualization - Functions in R
Exploratory Data Analysis and Visualization - Lecture 13 Factors
Exploratory Data Analysis and Visualization - Lecture 12 String Basics and Regular Expressions
Exploratory Data Analysis and Visualization - Lecture 11 Data Import
COS531 Modern Applied Statistical Learning Lab 10: Classification - Logistic Regression and Linear Discriminant Analysis
COS531 Modern Applied Statistical Learning Lab 9: Analysis of Variance (ANOVA)
Exploratory Data Analysis and Visualization - Lecture 10 Data Tidying Part Two - Relational Data
Exploratory Data Analysis and Visualization - Lecture 9 Data Tidying Part One
COS531 Modern Applied Statistical Learning Lab 8: Multiple Linear Regression
Exploratory Data Analysis and Visualization - EDA Class Exercise
Exploratory Data Analysis and Visualization - Lecture 8 Exploratory Data Analysis Part Two
COS531 Modern Applied Statistical Learning Lab 7: Simple Linear Regression
Exploratory Data Analysis and Visualization - Lecture 7 Exploratory Data Analysis Part One
COS531 Modern Applied Statistical Learning Lab 6: Bootstrapping
Exploratory Data Analysis and Visualization - Lecture 6 Data Transformation Part Two
Exploratory Data Analysis and Visualization - Lecture 5 Data Transformation Part One
COS531 Modern Applied Statistical Learning Lab 5: p-values
COS531 Modern Applied Statistical Learning Lab 4: Confidence Interval Estimate and Hypothesis Test Part One
Lab Homework Example
Exploratory Data Analysis and Visualization - Lecture 4 Data Visualization Part Three
Modern Applied Statistical Learning - Lab 3: Review of Multiple Variables
Exploratory Data Analysis and Visualization - Lecture 3 Data Visualization Part Two and R Markdown Basics
Exploratory Data Analysis and Visualization - Lecture 3 Data Visualization Part Two and R Markdown Basics
Exploratory Data Analysis and Visualization - Lecture 2 Data Visualization Part One
Exploratory Data Analysis and Visualization - Lecture 1 Introduction to R
For Spring 2025 Semester
DAS522 - Final Project, Spring 2024
DAS522 - Lecture 20 Animated Graph with 'gganimate' package
DAS522 - Lecture 19 Geospatial Data - Combine Raster and Vector Data
DAS522 - Lecture 18 Geospatial Data Visualization - Raster
DAS522 - Lecture 17 Geospatial Data Visualization - Vectors
DAS522 - Lecture 16 List and Functionals
DAS522 - Lecture 15 Date and Time
DAS522 - Lecture 14.5 Functions in R
DAS522 - Lecture 14 Factors
DAS522 - Lecture 13 String Basics and Regular Expressions
DAS522 - Lecture 12 Data Import
DAS522 - Lecture 11 Tidy Data Part Two (Relational Data)
DAS522 - Lecture 10 Tidy Data Part One
DAS522 - Lecture 9 Exploratory Data Analysis Part Two
DAS522 - Lecture 8 Exploratory Data Analysis Part One
DAS522 - Lecture 7 Data Transformation Part Two
DAS522 - Lecture 6 Data Transformation Part One
DAS522 - Lecture 5 Data Visualization Part Three and R Markdown Basics
DAS522 - Lecture 4 Data Visualization Part Two
DAS522 - Lecture 3 Data Visualization Part One
DAS522 - Lecture 2 Basics of Descriptive Statistics
STA305 Fall 2023 - Final Project
STA305 Fall 2023 - Bonus Hackathon Problem
STA305 Fall 2023 - Self-study: Covariance Tests
STA305 Fall 2023 - Lecture 16 - Lists, Loops and Functionals
STA305 Fall 2023 - Self-study: Functions and Conditional Statements in R
STA305 Fall 2023 - Lecture 15 - Dates and Times
STA305 Fall 2023 - Lecture 14 - Factors
STA305 Fall 2023 - Lecture 13 - String Basics and Regular Expressions
STA305 Fall 2023 - Lecture 12 - Data Import
STA305 Fall 2023 - Lecture 11 - Data Tidying Part Two
STA305 Fall 2023 - Lecture 10 - Data Tidying Part One
STA305 Fall 2023 - Lecture 9 - Data Modeling Basics (Regression)
STA305 Fall 2023 - Lecture 8 - Exploratory Data Analysis (EDA)
STA305 Fall 2023 - Lecture 7 - Data Transformation Part Two
STA305 Fall 2023 - Lecture 6 - Data Transformation Part One
STA305 Fall 2023 - Lecture 5 - From Data Visualization to Data Transformation
STA305 Fall2023 - Lecture 3 - Data Visualization Part II
STA305 Fall2023 - Lecture 2 - Data Visualization I
STA305 Fall2023 - Lecture 1 - R Basics
STA305 Fall2023 - Lecture 0 - Introduction to Course
Lecture 24 - Model Building Part Two
Lecture 23 - Model Building Part One
Lecture 22 - Modeling Basics Part 2
Lecture 21 - Modeling Basics
Lecture 20 - For loop and iteration
Lecture 19 - Functions, Vectors and Lists
Lecture 18 - Dates and Times
Lecture 17 - Factors
Lecture 16 - Application of Regular Expressions
Lecture 15 - String Basics and Regular Expression
Lecture 14 - Data Import
Lecture 12 - Tidy Data Part 3
Lecture 12 - Tidy Data Part 2
Lecture 11 - Tidy Data Part 1
Homework 2&3 Recitation
Lecture 10 - An Exemplary Study of EDA - Part Two
Solution to Lab Exercises
Lecture 9 - An Exemplary Study of EDA - Part One
Lecture 8 - The Pipe Operator and Introduction to EDA
Lecture 7 - Data Transformation2
Lecture 6: Data Transformation 1
Data Visualization Examples for Self-Study
Lecture 5: From Data Visualization to Data Transformation
DAS422 Lecture 4 - Data Visualization Part 3 (Spring 2023)
DAS422 Lecture 3 - Data Visualization Part 2 (Spring 2023)
DAS422 Lecture 2 - Data Visualization Part 1 (Spring 2023)
DAS422 Lecture 1 - Introduction (Spring 2023)
R Markdown Guidelines