dplyr is an R package that is part of the tidyverse. It provides functions that speed up data manipulation including select(), filter(), mutate(), arrange(), groupby(), and summarise().
Dplyr is most likely to appear on Científico de datos job descriptions where we found it mentioned 0,7 percent of the time.
Improving the Analysis of Object (or Cell) Counts with Lots of Zeros
Towards Data Science - Medium
Avoiding abuse and misuse of T-test and ANOVA: Regression for categorical responses
Towards Data Science - Medium
Do not over-think about ‘outliers’, use a student-t distribution instead
Towards Data Science - Medium
Lexicon-Based Sentiment Analysis Using R
Towards Data Science - Medium
Introduction to Data Manipulation in R with {dplyr}
Towards Data Science - Medium