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Longyi Bi

CWT
Director Technology and Development
France

carlsonwagonlit.com/content/cwt/global/en/home.html

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

1:00pm PDT

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

2:30pm PDT

Understanding and creating interactive graphics (Part 2) McDowell & Cranston

4:15pm PDT

What's up with the R consortium? McCaw Hall

4:40pm PDT

Presentation of the Women in R task force McCaw Hall

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

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

R: The last line of defense against bad debt Econ 140

11:24am PDT

Automating our work away: One consulting firm's experience with KnitR Econ 140

11:42am PDT

How can I get everyone else in my organisation to love R as much as I do? Econ 140

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

Transforming a museum to be data-driven using R McCaw Hall

1:36pm PDT

Introducing Statistics with intRo SIEPR 130 What can R learn from Julia Lane & Lyons & Lodato

1:54pm PDT

A first-year undergraduate data science course SIEPR 130 Zero-overhead integration of R, JS, Ruby and C/C++ Lane & Lyons & Lodato

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall High-performance R with FastR Sponsor Pavilion R Microplots in Tables with the latex() Function Sponsor Pavilion Visualizations and Machine Learning in R with Tessera and Shiny Sponsor Pavilion Writing a dplyr backend to support out-of-memory data for Microsoft R Server Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston R at Microsoft McCaw Hall

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 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 Helping R Stay in the Lead by Deploying Models with PFA SIEPR 120

6:30pm PDT

Welcome Reception Bing Concert Hall

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

Importing modern data into R SIEPR 130 Notebooks with R Markdown McCaw Hall Empowering Business Users with Shiny SIEPR 120

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

10:48am PDT

ETL for medium data SIEPR 130 Size of Datasets for Analytics and Implications for R Econ 140

11:06am PDT

Efficient tabular data ingestion and manipulation with MonetDBLite SIEPR 130

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:15am PDT

Building a High Availability REST API Engine for R SIEPR 120

11:20am PDT

Automated clinical research tracking and assessment using R-Shiny SIEPR 120

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130

11:40am PDT

Chunked, dplyr for large text files SIEPR 120

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

Run-time Testing Using assertive SIEPR 130 R at Google Lane & Lyons & Lodato

1:20pm PDT

How Teradata Aster R Scales Data Science 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

1:55pm PDT

Bringing the Power of R to Citizen Data Scientists Lane & Lyons & Lodato

2:12pm PDT

Providing Digital Provenance: from Modeling through Production Barnes & McDowell & Cranston

2:30pm PDT

Coffee Break with Poster Session McCaw Hall Data Quality Profiling - The First Step with New Data Sponsor Pavilion Helping Non-programmers Use R Sponsor Pavilion Plotting for Marketers - Seeing the Story Sponsor Pavilion Presidential Rankings: Visualization and Comparisons Sponsor Pavilion Time Flies - Use R to Analyze the Changing Airline Industry Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

4:30pm PDT

Cruise & Conference Dinner McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:00am PDT

Coffee Break w/ Poster Exhibits McCaw Hall

10:30am PDT

Data Landscapes: a pragmatic and philosophical visualisation of the sustainable urban landscape SIEPR 130 swirl-tbp: a package for interactively learning R programming and data science through the addition of 'template-based practice' problems in swirl Barnes & McDowell & Cranston A Shiny App is Worth 1000**3 Words: A Case Study in Displaying Three-Dimensional Dose Combination Response Data Econ 140

10:40am PDT

Forecasting Revenue for S&P 500 Companies Using the baselineforecast Package Econ 140

10:48am PDT

Authoring Books with R Markdown McCaw Hall

11:05am PDT

Using R at a rapidly scaling healthcare technology startup Econ 140

11:10am PDT

Event Detection with Social Media Data Econ 140

11:15am PDT

Convenient educational & psychological test reporting with the QME package & a Shiny UI Econ 140

11:35am PDT

Handling Huge Hierachical Data in R Econ 140

11:40am PDT

rfmt - A new formatter for R source code Econ 140

11:42am PDT

Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

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

Interact with Python from within R McCaw Hall

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall