lumenize
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Illuminating the forest AND the trees in your data.
84 lines (48 loc) • 3.21 kB
JavaScript
// Generated by CoffeeScript 1.10.0
/*
* Lumenize #
Lumenize provides tools for aggregating data and creating time series and other temporal visualizations.
The primary time-series aggregating functionality is provided by:
* Lumenize.TimeSeriesCalculator - Sets of single-metric series or group-by series
* Lumenize.TransitionsCalculator - Counts or sums for items moving from one state to another
* Lumenize.TimeInStateCalculator - Cumulative amount of time unique work items spend in a particular state
Simple group-by, 2D pivot-table and even multi-dimensional aggregations (OLAP cube) are provided by:
* Lumenize.OLAPCube - Used by above three Calculators but also useful stand-alone, particularly for hierarchical roll-ups
All of the above use the mathematical and statistical functions provided by:
* Lumenize.functions - count, sum, standardDeviation, percentile coverage, min, max, etc.
Three transformation functions are provided:
* Lumenize.arrayOfMaps_To_CSVStyleArray - Used to transform from record to table format
* Lumenize.csvStyleArray_To_ArrayOfMaps - Used to transform from table to record format
* Lumenize.arrayOfMaps_To_HighChartsSeries - Used to transform from record format to the format expected by the HighCharts charting library
And last, additional functionality is provided by:
* Lumenize.histogram - create a histogram of scatter data
* Lumenize.utils - utility methods used by the rest of Lumenize (type, clone, array/object functions, etc.)
*/
(function() {
var datatransform, tzTime;
tzTime = require('tztime');
exports.Time = tzTime.Time;
exports.TimelineIterator = tzTime.TimelineIterator;
exports.Timeline = tzTime.Timeline;
exports.utils = tzTime.utils;
exports.TimeInStateCalculator = require('./src/TimeInStateCalculator').TimeInStateCalculator;
exports.TransitionsCalculator = require('./src/TransitionsCalculator').TransitionsCalculator;
exports.TimeSeriesCalculator = require('./src/TimeSeriesCalculator').TimeSeriesCalculator;
datatransform = require('./src/dataTransform');
exports.arrayOfMaps_To_CSVStyleArray = datatransform.arrayOfMaps_To_CSVStyleArray;
exports.csvStyleArray_To_ArrayOfMaps = datatransform.csvStyleArray_To_ArrayOfMaps;
exports.arrayOfMaps_To_HighChartsSeries = datatransform.arrayOfMaps_To_HighChartsSeries;
exports.csvString_To_CSVStyleArray = datatransform.csvString_To_CSVStyleArray;
exports.csvStyleArray_To_CSVString = datatransform.csvStyleArray_To_CSVString;
exports.functions = require('./src/functions').functions;
exports.histogram = require('./src/histogram').histogram;
exports.multiRegression = require('./src/multiRegression').multiRegression;
exports.table = require('./src/table').table;
exports.OLAPCube = require('./src/OLAPCube').OLAPCube;
exports.anova = require('./src/anova').anova;
exports.distributions = require('./src/distributions').distributions;
exports.BayesianClassifier = require('./src/Classifier').BayesianClassifier;
exports.Classifier = require('./src/Classifier').Classifier;
exports.Store = require('./src/Store').Store;
exports.RandomPicker = require('./src/RandomPicker').RandomPicker;
}).call(this);