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lumenize

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Illuminating the forest AND the trees in your data.

github.com/lmaccherone/Lumenize

lmaccherone/Lumenize

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<!DOCTYPE html> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <title>The source code</title> <link href="../resources/prettify/prettify.css" type="text/css" rel="stylesheet" /> <script type="text/javascript" src="../resources/prettify/prettify.js"></script> <style type="text/css"> .highlight { display: block; background-color: #ddd; } </style> <script type="text/javascript"> function highlight() { document.getElementById(location.hash.replace(/#/, "")).className = "highlight"; } </script> </head> <body onload="prettyPrint(); highlight();"> <pre class="prettyprint lang-js">/* &lt;CoffeeScript&gt; &lt;/CoffeeScript&gt; */ <span id='Lumenize'>/** </span> * @class Lumenize * * * # 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.) * */ /* &lt;CoffeeScript&gt; tzTime = require(&#39;tztime&#39;) exports.Time = tzTime.Time exports.TimelineIterator = tzTime.TimelineIterator exports.Timeline = tzTime.Timeline exports.utils = tzTime.utils exports.TimeInStateCalculator = require(&#39;./src/TimeInStateCalculator&#39;).TimeInStateCalculator exports.TransitionsCalculator = require(&#39;./src/TransitionsCalculator&#39;).TransitionsCalculator exports.TimeSeriesCalculator = require(&#39;./src/TimeSeriesCalculator&#39;).TimeSeriesCalculator datatransform = require(&#39;./src/dataTransform&#39;) 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(&#39;./src/functions&#39;).functions exports.histogram = require(&#39;./src/histogram&#39;).histogram exports.multiRegression = require(&#39;./src/multiRegression&#39;).multiRegression exports.table = require(&#39;./src/table&#39;).table exports.OLAPCube = require(&#39;./src/OLAPCube&#39;).OLAPCube exports.anova = require(&#39;./src/anova&#39;).anova exports.distributions = require(&#39;./src/distributions&#39;).distributions exports.BayesianClassifier = require(&#39;./src/Classifier&#39;).BayesianClassifier exports.Classifier = require(&#39;./src/Classifier&#39;).Classifier exports.Store = require(&#39;./src/Store&#39;).Store exports.RandomPicker = require(&#39;./src/RandomPicker&#39;).RandomPicker &lt;/CoffeeScript&gt; */</pre> </body> </html>