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avatar for Nazir Refa

Nazir Refa

ElaadNL
Data analyst electric mobility
Netherlands
Websitehttps://elaad.nl/
Monday, June 27
 

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

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

10:15am PDT

Coffee Break Lyons & Lodato

10:30am PDT

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

12:00pm PDT

Lunch Lyons & Lodato

1:00pm PDT

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

2:15pm PDT

Coffee Break Lane

2:30pm PDT

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

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

Two-sample testing in high dimensions Lane & Lyons & Lodato

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

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

11:42am PDT

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

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato

1:54pm PDT

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

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall High-performance R with FastR 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

When will this machine fail? SIEPR 120

5:21pm PDT

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

5:39pm PDT

Rho: High Performance R McCaw Hall

5:57pm PDT

Rethinking R Documentation: an extension of the lint package Econ 140
 
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

Importing modern data into R SIEPR 130 OPERA: Online Prediction by ExpeRts Aggregation Barnes & McDowell & Cranston

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:24am PDT

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

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

4:30pm PDT

Cruise & Conference Dinner McCaw Hall
 
Thursday, June 30
 

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

11:35am PDT

Handling Huge Hierachical Data in R Econ 140

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:05pm PDT

Visualization of Uncertainty for Longitudinal Data SIEPR 130

1:30pm PDT

Thinking about Energy Markets with interactivity SIEPR 130

1:35pm PDT

Understanding human behavior for applications in finance and social sciences: Insights from content analysis with novel Bayesian learning in R SIEPR 130

1:40pm PDT

Interactive dashboards for visual quality control of air quality data SIEPR 130

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall