[[TOC]] = S3Cube = S3Cube is a REST method handler for data analysis. == Functionality == S3Cube can generate contingency tables (a.k.a. pivot tables) from S3Resources. == Dependencies == S3Cube uses [http://code.google.com/p/pyvttbl pyvttbl] to generate contingency tables. A modified version of {{{pyvttbl}}} is integrated into the S3 framework. Pyvttbl requires the following Python modules: - scipy - numpy - matplotlib Python 2.7 is recommended for S3Cube, however it would work with Python 2.6. == URL methods == S3Cube responds to the {{{analyze}}} URL method, for ''all'' resources (generic method). The following parameters are accepted: ||'''Parameter'''||'''Explanation'''||'''required?'''|| ||rows||the name of the field to be used for the table rows||yes|| ||cols||the name of the field to be used for the table columns||yes|| ||fact||the name of the field to be used for the instance values||yes|| ||aggregate||the aggregation function||no (default: list)|| rows, cols and fact support the same options as list_fields: - fields in the table - virtual fields in the table - fields/virtual fields in tables linked by foreign keys ($-notation) S3Cube supports a number of aggregation functions. The following functions have been tested so far: ||'''Function'''||'''Explanation'''|| ||list||a comma-separated list of all instance values|| ||count||the number of instance values|| ||sum||the sum of all instance values|| ||avg||the average (mean) of all instance values|| == Examples == - http://localhost:8000/eden/org/organisation/analyze?rows=country&cols=sector_id&fact=name - http://localhost:8000/eden/pr/person/analyze?rows=age_group&cols=gender&fact=id&aggregate=count $-notation for references: - http://localhost:8000/eden/org/office/analyze?rows=location_id$parent&cols=type&fact=name == Further Development == The following enhancements are currently under development: - Totals row and column - Support for JSON, CSV and XLS exports - Support for client-side graphs representation (via JSON)