R lets you slice your data sets in various ways, depending on the data type. To select just certain columns from a data frame, you can either refer to the columns by name or by their location (i.e ...

That R is rapidly augmenting or replacing other statistical analysis packages at universities, is being written about in The Register, The New York Times, and Forbes, and is exposing data analysis ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

That’s not to say tools don’t matter; today’s data analyst absolutely needs to be able to use at least a few of the most common tools such as Excel, SQL, Tableau, Power BI, R or Python.

Useful R packages in a handy searchable table. The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in.