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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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