Computerworld’s list of R packages for data wrangling

May 13, 2015
By

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

Computerworld's Sharon Machlis published today a very useful list of R packages that every R user should know. The list covers packages for data import, data wrangling, data visualization and package development, but for beginning R users the biggest challenge is usually just dealing with data. To that end, I thought it was worth listing the package for data access and manipulation, which I thoroughly endorse:

  • Data import/accessreadr (text data files), rio (many binary data file formats), readxl (Excel spreadsheets), googlesheets (Google Sheets), RMySQL (MySQL databases), quantmod (economic and financial data sources); 
  • Data manipulation: dplyr (general data frame processing); data.table (aggregation and filtering); tidyr (tidying messy data into row/col format); sqldf (SQL queries on data frames), zoo (time series data wrangling)

Check out Sharon's complete list below for details on these and many other useful R packages.

ComputerWorld: Great R packages for data import, wrangling & visualization

To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)