Changes between Initial Version and Version 1 of S3/S3Report


Ignore:
Timestamp:
11/02/11 13:40:27 (11 years ago)
Author:
Dominic König
Comment:

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  • S3/S3Report

    v1 v1  
     1= S3Cube =
     2
     3S3Cube is a REST method handler for data analysis.
     4
     5== Functionality ==
     6
     7S3Cube can generate contingency tables (a.k.a. pivot tables) from S3Resources.
     8
     9== Dependencies ==
     10
     11S3Cube uses pyvttbl to generate contingency tables. A modified version of pyvttbl is integrated into the S3 framework.
     12
     13Pyvttbl requires the following Python modules:
     14
     15  - scipy
     16  - numpy
     17  - matplotlib
     18
     19Python 2.7 is recommended for S3Cube, however it would work with Python 2.6.
     20
     21== URL methods ==
     22
     23S3Cube responds to the analyze URL method.
     24
     25The following parameters are accepted:
     26
     27  ||Parameter||Explanation||required?||
     28  ||rows||the name of the field to be used for the table rows||yes||
     29  ||cols||the name of the field to be used for the table columns||yes||
     30  ||fact||the name of the field to be used for the instance values||yes||
     31  ||aggregate||the aggregation function||no||
     32
     33S3Cube supports a number of aggregation functions. The following functions have been tested so far:
     34
     35  ||Function||Explanation||
     36  ||list||a comma-separated list of all instance values||
     37  ||count||the number of instance values||
     38  ||sum||the sum of all instance values||
     39  ||avg||the average (mean) of all instance values||
     40
     41== Further Development ==
     42
     43The following enhancements are currently under development:
     44
     45  - Totals row and column
     46  - Support for JSON, CSV and XLS exports
     47  - Support for client-side graphs representation (via JSON)
     48