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Julie Zhu

Stanford University
Student
Stanford, CA

stanford.edu/~lijingz/home.html

I am currently a Master's Degree candidate in Statistics at Stanford University. I graduated with my bachelor's degree in Mathematical and Computational Science in June. I'm interested in applied predictive modeling, exploratory data analysis, and workflow/version control in RStudio.

8:00am PDT

Registration check-in McCaw Hall

10:15am PDT

Coffee Break McDowell & Cranston

10:30am PDT

Handling and analyzing spatial, spatiotemporal and movement data (Part 2) SIEPR 120

12:00pm PDT

Lunch Lyons & Lodato

1:00pm PDT

Using R with Jupyter notebooks for reproducible research (Part 1) SIEPR 120

2:30pm PDT

Missing Value Imputation with R (Part 2) Barnes

10:30am PDT

edeaR: Extracting knowledge from process data Econ 140

10:48am PDT

Implementing R in old economy companies: From proof-of-concept to production Econ 140

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am PDT

FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

1:00pm PDT

Group and sparse group partial least squares approaches applied in a genomics context Barnes & McDowell & Cranston

1:18pm PDT

Integrated R labs for high school students SIEPR 130

1:36pm PDT

What can R learn from Julia Lane & Lyons & Lodato

1:54pm PDT

A first-year undergraduate data science course SIEPR 130

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Bridging the Data Visualization to Digital Humanities gap: Introducing the Interactive Text Mining Suite Sponsor Pavilion

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston

5:03pm PDT

New Paradigms In Shiny App Development: Designer + Data Scientist Pairing Lane & Lyons & Lodato

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Notebooks with R Markdown McCaw Hall

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

2:30pm PDT

Data Quality Profiling - The First Step with New Data Sponsor Pavilion

10:30am PDT

Data Landscapes: a pragmatic and philosophical visualisation of the sustainable urban landscape SIEPR 130

1:05pm PDT

Visualization of Uncertainty for Longitudinal Data SIEPR 130