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Jim Porzak

DS4CI
Principal
El Cerrito, CA USA

I am a (semi-)retired data scientist specializing in customer insights. I have been using R since 2002 and have presented at all but two useR! conferences starting with the first Vienna useR! 2004. See my archives, ds4ci.org/archives/ for past presentations including tutorials at useR! Vienna and Dortmund.

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

Connecting R to the OpenML project for Open Machine Learning McCaw Hall Implementing R in old economy companies: From proof-of-concept to production Econ 140

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

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

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

1:54pm PDT

Statistics and R in Forensic Genetics McCaw Hall

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall Teaching R to 200 people in a week SIEPR 130

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

flexdashboard: Easy interactive dashboards for R Lane & Lyons & Lodato

5:03pm PDT

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

5:21pm PDT

Data validation infrastructure: the validate package Barnes & McDowell & Cranston 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 Visual Pruner: A Shiny app for cohort selection in observational studies Lane & Lyons & Lodato

6:30pm PDT

Welcome Reception Bing Concert Hall

10:30am PDT

Importing modern data into R SIEPR 130 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

10:55am PDT

rempreq: An R package for Estimating the Employment Impact of U.S. Domestic Industry Production and Imports SIEPR 120

11:24am PDT

Grid Computing in R with Easy Scalability Econ 140

11:30am PDT

Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers SIEPR 120

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

1:00pm PDT

R markdown: Lifesaver or death trap? McCaw Hall

1:18pm PDT

Tools for Robust R Packages SIEPR 130

1:36pm PDT

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

2:05pm PDT

Making the R community more open Lane & Lyons & Lodato

2:12pm PDT

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

2:30pm PDT

Bayesian inference for Internet ratings data using R Sponsor Pavilion Data Quality Profiling - The First Step with New Data Sponsor Pavilion Helping Non-programmers Use R Sponsor Pavilion hurdlr: An R package for zero-inflated and over-dispersed count data Sponsor Pavilion Monitoring nonlinear profiles with R: an application to Quality Control Sponsor Pavilion Presidential Rankings: Visualization and Comparisons Sponsor Pavilion Profile Analysis of Multivariate Data Using the profileR Package Sponsor Pavilion request: A DSL for http requests Sponsor Pavilion ROSETTAHUB, the next generation data science platform Sponsor Pavilion The Use of Ensemble Learning Methods in Open Source Data Challenges Sponsor Pavilion Transforming R Into an Enterprise Level Tool for Multi-Genre Data Discovery and Operationalization Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties 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

10:45am PDT

Clustering of Hierarchically-Linked Multivariate Datasets Econ 140

10:48am PDT

Authoring Books with R Markdown McCaw Hall

10:50am PDT

ranger: A fast implementation of random forests for high dimensional data Lane & Lyons & Lodato

11:42am PDT

Most Likely Transformations McCaw Hall