Introduction to COVID19 data visualization using tidyverse packages in R
Details
Dr. Wall will share with us her work using R’s tidyverse packages to visualize COVID-19 data. At this event she will show us how to:
-import the data sets from the nytimes and Johns Hopkins github pages (readr)
-tidy them (tidyr)
-visualize the countries or states with the highest number of confirmed cases (ggplot & dplyr)
-apply a sigmoid model to the provinces of China storing them in a nested dataframe
-use broom to look at the parameters for each of those models
Bio: Dr. Jane Wall had extensive software industry experience before earning her PhD at Rice University in computational and applied mathematics. She initiated American University’s data science program, teaches R and Data Science, is director of data science programs and is co-director of the Masters degree in data science at American University.