Crunch exposes a REST API for third parties, and indeed its own UI, to manage datasets. This API is also used by the Python and R libraries. This User Guide is for developers who are writing applications on top of the Crunch REST API, with or without those language bindings. It describes the existing interfaces for the current version and attempts to provide context and examples to guide development.
These developer documents are organized in various sections, which provide higher-level vignettes that illustrate key features. It also includes information about object references, which defines the building blocks of the Crunch platform, such as values, columns, types, variables, and datasets.
You can also refer to the Crunch API Reference docs, which provides the latest information on all the individual URIs in detail as well as the ability to test various Crunch endpoints.
The following describes the various developer guides within this knowledge base.
- Password Policy — Learn more about setting a password in Crunch.
- Working with Data and Datasets — Includes detailed information on how to import data, append data, combine datasets, and much more.
- Working with Variables — At the heart of any good dataset are good variables and good variable usage, since they are used prolifically to assign values within your important functions. This article talks specifically about how to derive variables and how to use array variables in Crunch.
- Multidimensional Analysis — Gain a better understanding of how the Crunch system conducts an analysis of your data, with a deep dive into "cubes" and other three-dimensional analyses.
- Integration with Third-Party APIs — Learn how to integrate a third-party application, such as Decipher.
- Crunch Automation Basics and Commands — Learn more about Crunch's latest technology, including a explanation into how automation works as well as a comprehensive write-up of each of the 25+ commands.
- Object Reference Articles (version 0.15) — A comprehensive overview of Crunch objects, including response types, identifiers, data values, definitions, expressions, and more.