The 10 Most Important Packages in R for Data Science
The 10 Most Important Packages in R for Data Science Learn about different packages in R used for data science. Including how to load them and different resources you can use to advance your skills with them. R is the most popular language for Data Science. There are many packages and libraries provided for doing different tasks. For example, there is dplyr and data.table for data manipulation, whereas libraries like ggplot2 for data visualization and data cleaning library like tidyr . Also, there is a library like 'Shiny' to create a Web application and knitr for the Report generation where finally mlr3 , xgboost , and caret are used in Machine Learning. 1. ggplot2 ggplot2 is based on the 'Grammar of Graphics", which is a popular data visualization library. Graphs with one variable, two variables, and three variables, along with both categorical and numerical data, can be built. Also, grouping can...