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Paquetes para manipular Datos en R

Computerworld’s list of R packages for data wrangling

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/access:聽readr聽(text data files),聽rio聽(many binary data file formats),聽readxl (Excel spreadsheets),聽googlesheets (Google Sheets), RMySQL(MySQL databases),聽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);聽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.

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