The Split-Apply-Combine Strategy for Data Analysis
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.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Reshaping Data with the reshape Package | 2007 | 3,019 |
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| ggmap: Spatial Visualization with ggplot2 | 2013 | 2,237 |
Links
Topics
| Data Analysis with R | Computer Science |
| Forest ecology and management | Environmental Science |
| Plant Water Relations and Carbon Dynamics | Environmental Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports1 author record(s) attached.
- supports6 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 46f669157f96ea35…