Initial parcel building for scatterplot

config/plugins/visualizations/scatterplot/static/8850628034555be072a0e4f882d4d8e5.js

@@ -0,0 +1,3 @@
+require=function(r,e,n){function t(n,o){function i(r){return t(i.resolve(r))}function f(e){return r[n][1][e]||e}if(!e[n]){if(!r[n]){var c="function"==typeof require&&require;if(!o&&c)return c(n,!0);if(u)return u(n,!0);var l=new Error("Cannot find module '"+n+"'");throw l.code="MODULE_NOT_FOUND",l}i.resolve=f;var a=e[n]=new t.Module;r[n][0].call(a.exports,i,a,a.exports)}return e[n].exports}function o(){this.bundle=t,this.exports={}}var u="function"==typeof require&&require;t.Module=o,t.modules=r,t.cache=e,t.parent=u;for(var i=0;i<n.length;i++)t(n[i]);return t}({2:[function(require,module,exports) {
+onmessage=function(s){importScripts("numeric-column-stats.js"),postMessage(numericColumnStats(s.data.data,s.data.keys)),self.close()};
+},{}]},{},[2])

config/plugins/visualizations/scatterplot/static/numeric-column-stats.js

@@ -1,93 +0,0 @@
-var numericColumnStats = function(data, keys) {
-    var console = console || { debug: function() {} },
-        stats = {};
-
-    // precondition: keys is an array of keys accessible on each data in data
-    if (!keys || !keys.length) {
-        throw new Error("keys is a required parameter and must be an array:" + keys);
-    }
-    if (!data || !data.length) {
-        return stats;
-    }
-
-    function parseVal(val) {
-        if (val === null) {
-            throw new Error("Null value");
-        }
-        val = Number(val);
-        if (isNaN(val) || !isFinite(val)) {
-            throw new Error("NaN or non-finite number");
-        }
-        return val;
-    }
-
-    // does this effect the data in the other thread?
-    ["min", "max", "sum", "mean", "median", "count"].forEach(function(name, i) {
-        stats[name] = new Array(keys.length);
-    });
-
-    var keyIndex = 0,
-        separatedCols = new Array(keys.length);
-    keys.forEach(function(key, keyIndex) {
-        stats.min[keyIndex] = 0;
-        stats.max[keyIndex] = 0;
-        stats.sum[keyIndex] = 0;
-        separatedCols[keyIndex] = [];
-    });
-
-    // work backwards to prevent co-modification problems while splitting up data into columns
-    for (var dataIndex = data.length - 1; dataIndex >= 0; dataIndex -= 1) {
-        var datum = data.pop(dataIndex);
-
-        for (keyIndex = 0; keyIndex < keys.length; keyIndex += 1) {
-            var key = keys[keyIndex],
-                datumColVal = datum[key];
-
-            try {
-                //NOTE: parsing value as number
-                datumColVal = parseVal(datumColVal);
-            } catch (e) {
-                continue;
-            }
-
-            // separate the columns
-            separatedCols[keyIndex].unshift(datumColVal);
-            // get the other stats
-            stats.min[keyIndex] = Math.min(stats.min[keyIndex], datumColVal);
-            stats.max[keyIndex] = Math.max(stats.max[keyIndex], datumColVal);
-            stats.sum[keyIndex] += datumColVal;
-        }
-    }
-
-    // get counts, mean, median
-    function comparator(a, b) {
-        if (a < b) {
-            return -1;
-        }
-        if (a < b) {
-            return 1;
-        }
-        return 0;
-    }
-
-    for (keyIndex = 0; keyIndex < keys.length; keyIndex += 1) {
-        var count = separatedCols[keyIndex].length,
-            sum = stats.sum[keyIndex];
-        stats.count[keyIndex] = count;
-        stats.mean[keyIndex] = sum / count;
-
-        // sort columns for median
-        separatedCols[keyIndex].sort(comparator);
-
-        // odd count -> straight forward median
-        var middleDataIndex = Math.floor(count / 2);
-        if (count % 2 === 1) {
-            stats.median[keyIndex] = separatedCols[keyIndex][middleDataIndex];
-        } else {
-            var middleValA = separatedCols[keyIndex][middleDataIndex],
-                middleValB = separatedCols[keyIndex][middleDataIndex + 1];
-            stats.median[keyIndex] = (middleValA + middleValB) / 2;
-        }
-    }
-    return stats;
-};

config/plugins/visualizations/scatterplot/static/worker-stats.js

@@ -1,5 +0,0 @@
-onmessage = function(event) {
-    importScripts("numeric-column-stats.js");
-    postMessage(numericColumnStats(event.data.data, event.data.keys));
-    self.close();
-};