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