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CN

Cathy Niu

Electronic Arts
Sr. Analyst
Los Angeles
Monday, June 27
 

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Small Area Estimation with R (Part 1) Lane

1:00pm PDT

Understanding and creating interactive graphics (Part 1) McDowell & Cranston

2:30pm PDT

Understanding and creating interactive graphics (Part 2) McDowell & Cranston
 
Tuesday, June 28
 

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130

11:24am PDT

United Nations World Population Projections with R McCaw Hall

11:42am PDT

bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm PDT

bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston

1:54pm PDT

Multiple Hurdle Tobit models in R: The mhurdle package Barnes & McDowell & Cranston

2:12pm PDT

RosettaHUB-Sheets, a programmable, collaborative web-based spreadsheet for R, Python and Spark Lane & Lyons & Lodato

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall Integrating R & Tableau Sponsor Pavilion RCAP Designer: An RCloud Package to create Analytical Dashboards Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

R at Microsoft McCaw Hall

5:03pm PDT

Inside the Rent Zestimates Barnes & McDowell & Cranston

5:21pm PDT

Data validation infrastructure: the validate package Barnes & McDowell & Cranston

5:39pm PDT

RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston

5:57pm PDT

Applying R in streaming and Business Intelligence applications Barnes & McDowell & Cranston

6:30pm PDT

Welcome Reception Bing Concert Hall
 
Wednesday, June 29
 

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Notebooks with R Markdown McCaw Hall

10:48am PDT

Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R McCaw Hall

11:24am PDT

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:30pm PDT

Statistical Computing with R Lane & Lyons & Lodato

1:40pm PDT

Changing lives with Data Science at Microsoft Lane & Lyons & Lodato

1:54pm PDT

How to do one's taxes with R McCaw Hall

2:30pm PDT

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

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall
 
Thursday, June 30
 

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:30am PDT

Shiny Gadgets: Interactive tools for Programming and Data Analysis McCaw Hall

11:24am PDT

ggduo: Pairs plot for two group data SIEPR 130

11:42am PDT

rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics SIEPR 130

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:20pm PDT

R for Big Data and Applications: Using R at Oracle Lane & Lyons & Lodato

1:35pm PDT

Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall

3:00pm PDT

Closing Remarks McCaw Hall