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Dean Attali

AttaliTech Ltd
Toronto

I love meeting new people so come say hi :) And come to my lighting talk on colour picker for plots, ask me about it for details!

My Friends

8:00am

Registration check-in McCaw Hall

9:00am

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

10:30am

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

1:00pm

Extracting data from the web APIs and beyond (Part 1) Campbell Rehearsal Hall Introduction to SparkR (Part 1) Econ 140

2:30pm

Extracting data from the web APIs and beyond (Part 2) Campbell Rehearsal Hall Introduction to SparkR (Part 2) Econ 140

4:15pm

What's up with the R consortium? McCaw Hall

4:40pm

Presentation of the Women in R task force McCaw Hall

5:00pm

R-Ladies Presentation 1 McCaw Hall

5:10pm

R-Ladies Presentation 2 McCaw Hall

5:20pm

Discussion McCaw Hall

8:00am

Registration check-in McCaw Hall

8:30am

Opening Session McCaw Hall

9:00am

Forty years of S McCaw Hall

10:00am

Coffee Break with Poster Exhibits McCaw Hall

10:30am

R in machine learning competitions McCaw Hall Using Spark with Shiny and R Markdown SIEPR 130

11:24am

Automating our work away: One consulting firm's experience with KnitR Econ 140 Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am

jailbreakr: Get out of Excel, free McCaw Hall

1:00pm

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm

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

1:36pm

What can R learn from Julia Lane & Lyons & Lodato

4:45pm

Covr: Bringing Code Coverage to R Econ 140 How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston R at Microsoft McCaw Hall

5:03pm

'AF' a new package for estimating the attributable fraction McCaw Hall Inside the Rent Zestimates Barnes & McDowell & Cranston New Paradigms In Shiny App Development: Designer + Data Scientist Pairing Lane & Lyons & Lodato

5:21pm

broom: Converting statistical models to tidy data frames McCaw Hall

9:00am

Towards a grammar of interactive graphics McCaw Hall

10:30am

Notebooks with R Markdown McCaw Hall Predicting individual treatment effects Lane & Lyons & Lodato

10:48am

ETL for medium data SIEPR 130

11:06am

On the emergence of R as a platform for emergency outbreak response McCaw Hall

11:24am

Grid Computing in R with Easy Scalability Econ 140 Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

1:00pm

R at Google Lane & Lyons & Lodato

1:18pm

Tools for Robust R Packages SIEPR 130

1:36pm

GNU make for reproducible data analysis using R and other statistical software Barnes & McDowell & Cranston

1:40pm

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

1:54pm

How to do one's taxes with R McCaw Hall The simulator: An Engine for Streamlining Simulations Barnes & McDowell & Cranston

1:55pm

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

2:05pm

Making the R community more open Lane & Lyons & Lodato

2:12pm

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

3:30pm

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

10:30am

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

11:06am

Using Shiny for Formative Assessments Barnes & McDowell & Cranston

1:15pm

Getting R into your bathroom McCaw Hall

1:20pm

shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript SIEPR 130

1:30pm

The Best Time to Post on Reddit McCaw Hall