9 Must-Know R Packages That Will Make You A Better Data Scientist
Data science is all about understanding the data and then harnessing it to figure out what we want. An incredibly powerful tool that can help you do just that is R (pronounced Ruby). R is the most popular programming language for statistical computation, with around 6.5million active users. You may not know this, but all advanced packages in R are written in R, so they are all using R. Top R Packages for Data Science Finding the best R packages for data science can be daunting. There are a lot of different packages to select from, some of which are expensive. My goal here is to help you cut through all that noise by showing you the top 9 best packages I have used and talking about what makes them so great. dplyr: Dplyr is a package for manipulating dataframes. It includes functions to filter and group data by column, select from multiple columns at once, and perform calculations on groups of columns at once. You can also use dplyr to subset or merge multiple dataframe...