|Version 13 (modified by 10 years ago) ( diff ),|
S3Cube is a REST method handler for data analysis.
S3Cube can generate contingency tables (a.k.a. pivot tables) from S3Resources.
S3Cube uses pyvttbl to generate contingency tables. A modified version of
pyvttbl is integrated into the S3 framework.
Pyvttbl requires the following Python modules:
Python 2.7 is recommended for S3Cube, however it would work with Python 2.6.
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 no (if no cols are specified, all instance values appear in 1 column) fact the name of the field to be used for the instance values no (falls back to "name" if present, otherwise to "id") 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
$-notation for references:
reduced parameter list:
Table configurations can contain a
report_options item, which is a Storage object. This object is used to configure reports and report options form.
aggregate items are lists of available values for the user to select from.
defaults item is a Storage object that contains the default values for the report. It can contain a value for
totals (as described in URL Methods).
Here is an example of a
report_options=Storage( rows=report_fields, cols=report_fields, facts=report_fields, defaults=Storage( rows="project_id", cols="name", fact="time_actual", aggregate="sum", totals=True )
All items in
defaults are optional.
The following enhancements are currently under development:
- Support for JSON, CSV and XLS exports
- Support for client-side graphs representation (via JSON)