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Talk Title- Whose Line Graph is it Anyway? The SQL (Actually in R)
Talk Description- The best approach to a technical presentation is careful planning and preparation. But where's the fun in that?
In this talk, I'll demonstrate an exploratory data analysis in R on a dataset I've never seen in advance, and which was chosen by a friend for its novelty value. I'll demonstrate the use of tools such as dplyr and ggplot2 for data transformation and visualization, as well as other packages from the tidyverse as they're needed. I'll narrate my thought process to show how a data scientist thinks through a problem, and take suggestions from the audience at key points. This talk is a sequel to my 2019 nyhackr meetup talk.
Bio- David Robinson is Director of Data Science at Heap Analytics, where he's helping to build the next generation of product analytics technology. He's the co-author with Julia Silge of the tidytext package and the O'Reilly book Text Mining with R. He also created the broom, fuzzyjoin, and widyr packages, and authored the e-book Introduction to Empirical Bayes. David is passionate about R, statistics, education, live-coding, probability, and his two children.