The Split-Apply-Combine Strategy for Data Analysis

By Hadley Wickham. 2011

2,671 citations recorded by the source corpus.

Many data analysis problems involve the application of a split-apply-combine strategy, where you break up a big problem into manageable pieces, operate on each piece independently and then put all the pieces back together. This insight gives rise to a new R package that allows you to smoothly apply this strategy, without having to worry about the type of structure in which your data is stored. The paper includes two case studies showing how these insights make it easier to work with batting records for veteran baseball players and a large 3d array of spatio-temporal ozone measurements.

Subfields: Artificial Intelligence, Global and Planetary Change, Nature and Landscape Conservation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. R. Francis
  2. Paul J. McMurdie
  3. Susan P. Holmes
  4. Emmanuel Chemla
  5. Manuel Križ
  6. David J. Kahle
  7. Michael J. Kane
  8. Peter Bhlmann

In Global and Planetary Change

  1. R. Francis
  2. T. Langlois
  3. Paul J. McMurdie
  4. Susan P. Holmes
  5. Emmanuel Chemla
  6. Manuel Križ
  7. David J. Kahle
  8. S. Newman

In Nature and Landscape Conservation

  1. R. Francis
  2. T. Langlois
  3. Paul J. McMurdie
  4. Susan P. Holmes
  5. Emmanuel Chemla
  6. Manuel Križ
  7. David J. Kahle
  8. S. Newman

Citations in the corpus