Under the hood, the tidyverse is comprised of many packages, some very large and sprawling, like ggplot, and others that do one single thing (readr). Here’s a l

Under the hood, the tidyverse is comprised of many packages, some very large and sprawling, like ggplot, and others that do one single thing (readr). Here’s a list: https://www.tidyverse.org/packages/ https://www.tidyverse.org/packages/ Individual packages can be used in isolation, if that’s what you need. However, they complement each other nicely, in that they share data representations and similar conventions while handling different facets of data analysis. Thus, people often import the whole thing in one shot as the tidyverse and go from there. For example, you might read the data in with readr, clean it up with tidyr or dplyr, analyze it with tidymodels, and plot the results with ggplot. The python equivalent would be a hypothetical meta-package that tightly integrates pandas, seaborn, and sklearn.