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DCR 2019 Highlights
Refael Lav - R Cloud and Google – Practical Tools for Data Science, NLP, API, and Maps
Samantha Tyner - Pagedown: in HTML We Trust
Tommy Jones - Optimizing Topic Models for Classification Tasks
Emily Robinson - funneljoin: Defining a Tidy Grammar of Funnels in R
Jared Lander - Raising Baby with R
Dan Chen - R and Python Coexisting in the Same Development Environment
Marck Vaisman - Managing Your Cloud: Working with APIs
Marlorie Hughes - Dashboarding Like a Boss
Ami Gates - Using NetworkD3 and R to Visualize and Explore Relationships in Data
Abhijit Dasgupta - Coursedown: Managing Course Materials Using R Techniques
Stephanie Kirmer - Animation for Dataviz in R
Alex Engler - Better DataViz in ggplot2: Tips, Tricks & Examples
Selina Carter - How Are Ideas Spread at Your Organization? Analyze Its Citation Network!
Brian Wright - How R Facilitates Diversity in the Field Data Science
BJ Bloom - Topic Modeling Consumer Complaints at the Federal Reserve
Tatyana Tsvetovat - R is Not Just Basic Stats: Think Spatially!
David Robinson - Ten Tremendous Tricks in the Tidyverse
Angela Li - The Care and Feeding of Spatial Data
Kelly O'Briant - Reflections on a Year Spent Talking to Data Scientists About DevOps
Elizabeth Sweeney - Visualizing the Environmental Impact of Beef Consumption using Plotly and Shiny
Kimberly Kreiss - SHED-ing Light on Survey Data
Jon Harmon - RBERT: Cutting Edge NLP in R
Ronald Cappellini - Defense Analysis – Organize for the Mission
Danya Murali - Renewables, Reproducibility, and RMarkdown
Kaelen Medeiros - Metric Design and Dashboarding with tidymetrics and shinybones
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