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CL

Cody Likavec

TINYpulse
Marketing Data Analyst

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Using Git and GitHub with R, Rstudio, and R Markdown (Part 1) Lyons & Lodato

10:15am PDT

Coffee Break McDowell & Cranston

10:30am PDT

Using Git and GitHub with R, Rstudio, and R Markdown (Part 2) Lyons & Lodato

12:00pm PDT

Lunch Lyons & Lodato

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall

2:15pm PDT

Coffee Break Lane

2:30pm PDT

Effective Shiny Programming (Part 2) McCaw Hall

4:00pm PDT

Short Break McCaw Hall

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

5:00pm PDT

R-Ladies Presentation 1 McCaw Hall

5:10pm PDT

R-Ladies Presentation 2 McCaw Hall

5:20pm PDT

Discussion McCaw Hall

8:00am PDT

Registration check-in 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

Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

Connecting R to the OpenML project for Open Machine Learning McCaw Hall

11:06am PDT

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

11:24am PDT

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

11:42am PDT

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

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato

1:36pm PDT

Introducing Statistics with intRo SIEPR 130

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

Coffee Break w/ Poster Session McCaw Hall Integrating R & Tableau Sponsor Pavilion Urban Mobility Modeling using R and Big Data from Mobile Phones Sponsor Pavilion Using R in the evaluation of psychological tests Sponsor Pavilion Visualizations and Machine Learning in R with Tessera and Shiny 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

5:03pm PDT

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

5:21pm PDT

Using Shiny modules to build more-complex and more-manageable apps Lane & Lyons & Lodato

5:39pm PDT

R AnalyticFlow 3: Interactive Data Analysis GUI for R Lane & Lyons & Lodato

5:57pm PDT

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

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

Notebooks with R Markdown McCaw Hall Empowering Business Users with Shiny SIEPR 120

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:00am PDT

Text Mining and Sentiment Extraction in Central Bank Documents SIEPR 120

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:24am PDT

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

11:35am PDT

R's Role in Healthcare Data: Exploration, Visualization and Presentation SIEPR 120

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:36pm PDT

Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider McCaw Hall

1:40pm PDT

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

1:55pm PDT

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

2:30pm PDT

Bayesian inference for Internet ratings data using R Sponsor Pavilion Plotting for Marketers - Seeing the Story Sponsor Pavilion Profile Analysis of Multivariate Data Using the profileR Package 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

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

11:06am PDT

Using Shiny for Formative Assessments Barnes & McDowell & Cranston

11:24am PDT

Revolutionize how you teach and blog: add interactivity Barnes & McDowell & Cranston

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato