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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,7 @@ ## Crossfilter via dc.js This visualization is intended as a demonstrator for describing the use of [crossfilter](http://square.github.io/crossfilter/) via [dc.js](http://nickqizhu.github.io/dc.js/). It includes a subset of the types of graphs possible with [dc.js](http://nickqizhu.github.io/dc.js/), and is intended to be used in conjunction with a fuller description on [d3noob.org](http://www.d3noob.org/) and in [D3 Tips and Tricks](https://leanpub.com/D3-Tips-and-Tricks). The data is from a series of Earthquakes in New Zealand in 2013. and the raw data is available via [Geonet](http://geonet.org.nz/). -
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. 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To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,1283 @@ (function(exports){ crossfilter.version = "1.2.0"; function crossfilter_identity(d) { return d; } crossfilter.permute = permute; function permute(array, index) { for (var i = 0, n = index.length, copy = new Array(n); i < n; ++i) { copy[i] = array[index[i]]; } return copy; } var bisect = crossfilter.bisect = bisect_by(crossfilter_identity); bisect.by = bisect_by; function bisect_by(f) { // Locate the insertion point for x in a to maintain sorted order. The // arguments lo and hi may be used to specify a subset of the array which // should be considered; by default the entire array is used. If x is already // present in a, the insertion point will be before (to the left of) any // existing entries. The return value is suitable for use as the first // argument to `array.splice` assuming that a is already sorted. // // The returned insertion point i partitions the array a into two halves so // that all v < x for v in a[lo:i] for the left side and all v >= x for v in // a[i:hi] for the right side. function bisectLeft(a, x, lo, hi) { while (lo < hi) { var mid = lo + hi >>> 1; if (f(a[mid]) < x) lo = mid + 1; else hi = mid; } return lo; } // Similar to bisectLeft, but returns an insertion point which comes after (to // the right of) any existing entries of x in a. // // The returned insertion point i partitions the array into two halves so that // all v <= x for v in a[lo:i] for the left side and all v > x for v in // a[i:hi] for the right side. function bisectRight(a, x, lo, hi) { while (lo < hi) { var mid = lo + hi >>> 1; if (x < f(a[mid])) hi = mid; else lo = mid + 1; } return lo; } bisectRight.right = bisectRight; bisectRight.left = bisectLeft; return bisectRight; } var heap = crossfilter.heap = heap_by(crossfilter_identity); heap.by = heap_by; function heap_by(f) { // Builds a binary heap within the specified array a[lo:hi]. The heap has the // property such that the parent a[lo+i] is always less than or equal to its // two children: a[lo+2*i+1] and a[lo+2*i+2]. function heap(a, lo, hi) { var n = hi - lo, i = (n >>> 1) + 1; while (--i > 0) sift(a, i, n, lo); return a; } // Sorts the specified array a[lo:hi] in descending order, assuming it is // already a heap. function sort(a, lo, hi) { var n = hi - lo, t; while (--n > 0) t = a[lo], a[lo] = a[lo + n], a[lo + n] = t, sift(a, 1, n, lo); return a; } // Sifts the element a[lo+i-1] down the heap, where the heap is the contiguous // slice of array a[lo:lo+n]. This method can also be used to update the heap // incrementally, without incurring the full cost of reconstructing the heap. function sift(a, i, n, lo) { var d = a[--lo + i], x = f(d), child; while ((child = i << 1) <= n) { if (child < n && f(a[lo + child]) > f(a[lo + child + 1])) child++; if (x <= f(a[lo + child])) break; a[lo + i] = a[lo + child]; i = child; } a[lo + i] = d; } heap.sort = sort; return heap; } var heapselect = crossfilter.heapselect = heapselect_by(crossfilter_identity); heapselect.by = heapselect_by; function heapselect_by(f) { var heap = heap_by(f); // Returns a new array containing the top k elements in the array a[lo:hi]. // The returned array is not sorted, but maintains the heap property. If k is // greater than hi - lo, then fewer than k elements will be returned. The // order of elements in a is unchanged by this operation. function heapselect(a, lo, hi, k) { var queue = new Array(k = Math.min(hi - lo, k)), min, i, x, d; for (i = 0; i < k; ++i) queue[i] = a[lo++]; heap(queue, 0, k); if (lo < hi) { min = f(queue[0]); do { if (x = f(d = a[lo]) > min) { queue[0] = d; min = f(heap(queue, 0, k)[0]); } } while (++lo < hi); } return queue; } return heapselect; } var insertionsort = crossfilter.insertionsort = insertionsort_by(crossfilter_identity); insertionsort.by = insertionsort_by; function insertionsort_by(f) { function insertionsort(a, lo, hi) { for (var i = lo + 1; i < hi; ++i) { for (var j = i, t = a[i], x = f(t); j > lo && f(a[j - 1]) > x; --j) { a[j] = a[j - 1]; } a[j] = t; } return a; } return insertionsort; } // Algorithm designed by Vladimir Yaroslavskiy. // Implementation based on the Dart project; see lib/dart/LICENSE for details. var quicksort = crossfilter.quicksort = quicksort_by(crossfilter_identity); quicksort.by = quicksort_by; function quicksort_by(f) { var insertionsort = insertionsort_by(f); function sort(a, lo, hi) { return (hi - lo < quicksort_sizeThreshold ? insertionsort : quicksort)(a, lo, hi); } function quicksort(a, lo, hi) { // Compute the two pivots by looking at 5 elements. var sixth = (hi - lo) / 6 | 0, i1 = lo + sixth, i5 = hi - 1 - sixth, i3 = lo + hi - 1 >> 1, // The midpoint. i2 = i3 - sixth, i4 = i3 + sixth; var e1 = a[i1], x1 = f(e1), e2 = a[i2], x2 = f(e2), e3 = a[i3], x3 = f(e3), e4 = a[i4], x4 = f(e4), e5 = a[i5], x5 = f(e5); var t; // Sort the selected 5 elements using a sorting network. if (x1 > x2) t = e1, e1 = e2, e2 = t, t = x1, x1 = x2, x2 = t; if (x4 > x5) t = e4, e4 = e5, e5 = t, t = x4, x4 = x5, x5 = t; if (x1 > x3) t = e1, e1 = e3, e3 = t, t = x1, x1 = x3, x3 = t; if (x2 > x3) t = e2, e2 = e3, e3 = t, t = x2, x2 = x3, x3 = t; if (x1 > x4) t = e1, e1 = e4, e4 = t, t = x1, x1 = x4, x4 = t; if (x3 > x4) t = e3, e3 = e4, e4 = t, t = x3, x3 = x4, x4 = t; if (x2 > x5) t = e2, e2 = e5, e5 = t, t = x2, x2 = x5, x5 = t; if (x2 > x3) t = e2, e2 = e3, e3 = t, t = x2, x2 = x3, x3 = t; if (x4 > x5) t = e4, e4 = e5, e5 = t, t = x4, x4 = x5, x5 = t; var pivot1 = e2, pivotValue1 = x2, pivot2 = e4, pivotValue2 = x4; // e2 and e4 have been saved in the pivot variables. They will be written // back, once the partitioning is finished. a[i1] = e1; a[i2] = a[lo]; a[i3] = e3; a[i4] = a[hi - 1]; a[i5] = e5; var less = lo + 1, // First element in the middle partition. great = hi - 2; // Last element in the middle partition. // Note that for value comparison, <, <=, >= and > coerce to a primitive via // Object.prototype.valueOf; == and === do not, so in order to be consistent // with natural order (such as for Date objects), we must do two compares. var pivotsEqual = pivotValue1 <= pivotValue2 && pivotValue1 >= pivotValue2; if (pivotsEqual) { // Degenerated case where the partitioning becomes a dutch national flag // problem. // // [ | < pivot | == pivot | unpartitioned | > pivot | ] // ^ ^ ^ ^ ^ // left less k great right // // a[left] and a[right] are undefined and are filled after the // partitioning. // // Invariants: // 1) for x in ]left, less[ : x < pivot. // 2) for x in [less, k[ : x == pivot. // 3) for x in ]great, right[ : x > pivot. for (var k = less; k <= great; ++k) { var ek = a[k], xk = f(ek); if (xk < pivotValue1) { if (k !== less) { a[k] = a[less]; a[less] = ek; } ++less; } else if (xk > pivotValue1) { // Find the first element <= pivot in the range [k - 1, great] and // put [:ek:] there. We know that such an element must exist: // When k == less, then el3 (which is equal to pivot) lies in the // interval. Otherwise a[k - 1] == pivot and the search stops at k-1. // Note that in the latter case invariant 2 will be violated for a // short amount of time. The invariant will be restored when the // pivots are put into their final positions. while (true) { var greatValue = f(a[great]); if (greatValue > pivotValue1) { great--; // This is the only location in the while-loop where a new // iteration is started. continue; } else if (greatValue < pivotValue1) { // Triple exchange. a[k] = a[less]; a[less++] = a[great]; a[great--] = ek; break; } else { a[k] = a[great]; a[great--] = ek; // Note: if great < k then we will exit the outer loop and fix // invariant 2 (which we just violated). break; } } } } } else { // We partition the list into three parts: // 1. < pivot1 // 2. >= pivot1 && <= pivot2 // 3. > pivot2 // // During the loop we have: // [ | < pivot1 | >= pivot1 && <= pivot2 | unpartitioned | > pivot2 | ] // ^ ^ ^ ^ ^ // left less k great right // // a[left] and a[right] are undefined and are filled after the // partitioning. // // Invariants: // 1. for x in ]left, less[ : x < pivot1 // 2. for x in [less, k[ : pivot1 <= x && x <= pivot2 // 3. for x in ]great, right[ : x > pivot2 for (var k = less; k <= great; k++) { var ek = a[k], xk = f(ek); if (xk < pivotValue1) { if (k !== less) { a[k] = a[less]; a[less] = ek; } ++less; } else { if (xk > pivotValue2) { while (true) { var greatValue = f(a[great]); if (greatValue > pivotValue2) { great--; if (great < k) break; // This is the only location inside the loop where a new // iteration is started. continue; } else { // a[great] <= pivot2. if (greatValue < pivotValue1) { // Triple exchange. a[k] = a[less]; a[less++] = a[great]; a[great--] = ek; } else { // a[great] >= pivot1. a[k] = a[great]; a[great--] = ek; } break; } } } } } } // Move pivots into their final positions. // We shrunk the list from both sides (a[left] and a[right] have // meaningless values in them) and now we move elements from the first // and third partition into these locations so that we can store the // pivots. a[lo] = a[less - 1]; a[less - 1] = pivot1; a[hi - 1] = a[great + 1]; a[great + 1] = pivot2; // The list is now partitioned into three partitions: // [ < pivot1 | >= pivot1 && <= pivot2 | > pivot2 ] // ^ ^ ^ ^ // left less great right // Recursive descent. (Don't include the pivot values.) sort(a, lo, less - 1); sort(a, great + 2, hi); if (pivotsEqual) { // All elements in the second partition are equal to the pivot. No // need to sort them. return a; } // In theory it should be enough to call _doSort recursively on the second // partition. // The Android source however removes the pivot elements from the recursive // call if the second partition is too large (more than 2/3 of the list). if (less < i1 && great > i5) { var lessValue, greatValue; while ((lessValue = f(a[less])) <= pivotValue1 && lessValue >= pivotValue1) ++less; while ((greatValue = f(a[great])) <= pivotValue2 && greatValue >= pivotValue2) --great; // Copy paste of the previous 3-way partitioning with adaptions. // // We partition the list into three parts: // 1. == pivot1 // 2. > pivot1 && < pivot2 // 3. == pivot2 // // During the loop we have: // [ == pivot1 | > pivot1 && < pivot2 | unpartitioned | == pivot2 ] // ^ ^ ^ // less k great // // Invariants: // 1. for x in [ *, less[ : x == pivot1 // 2. for x in [less, k[ : pivot1 < x && x < pivot2 // 3. for x in ]great, * ] : x == pivot2 for (var k = less; k <= great; k++) { var ek = a[k], xk = f(ek); if (xk <= pivotValue1 && xk >= pivotValue1) { if (k !== less) { a[k] = a[less]; a[less] = ek; } less++; } else { if (xk <= pivotValue2 && xk >= pivotValue2) { while (true) { var greatValue = f(a[great]); if (greatValue <= pivotValue2 && greatValue >= pivotValue2) { great--; if (great < k) break; // This is the only location inside the loop where a new // iteration is started. continue; } else { // a[great] < pivot2. if (greatValue < pivotValue1) { // Triple exchange. a[k] = a[less]; a[less++] = a[great]; a[great--] = ek; } else { // a[great] == pivot1. a[k] = a[great]; a[great--] = ek; } break; } } } } } } // The second partition has now been cleared of pivot elements and looks // as follows: // [ * | > pivot1 && < pivot2 | * ] // ^ ^ // less great // Sort the second partition using recursive descent. // The second partition looks as follows: // [ * | >= pivot1 && <= pivot2 | * ] // ^ ^ // less great // Simply sort it by recursive descent. return sort(a, less, great + 1); } return sort; } var quicksort_sizeThreshold = 32; var crossfilter_array8 = crossfilter_arrayUntyped, crossfilter_array16 = crossfilter_arrayUntyped, crossfilter_array32 = crossfilter_arrayUntyped, crossfilter_arrayLengthen = crossfilter_identity, crossfilter_arrayWiden = crossfilter_identity; if (typeof Uint8Array !== "undefined") { crossfilter_array8 = function(n) { return new Uint8Array(n); }; crossfilter_array16 = function(n) { return new Uint16Array(n); }; crossfilter_array32 = function(n) { return new Uint32Array(n); }; crossfilter_arrayLengthen = function(array, length) { var copy = new array.constructor(length); copy.set(array); return copy; }; crossfilter_arrayWiden = function(array, width) { var copy; switch (width) { case 16: copy = crossfilter_array16(array.length); break; case 32: copy = crossfilter_array32(array.length); break; default: throw new Error("invalid array width!"); } copy.set(array); return copy; }; } function crossfilter_arrayUntyped(n) { return new Array(n); } function crossfilter_filterExact(bisect, value) { return function(values) { var n = values.length; return [bisect.left(values, value, 0, n), bisect.right(values, value, 0, n)]; }; } function crossfilter_filterRange(bisect, range) { var min = range[0], max = range[1]; return function(values) { var n = values.length; return [bisect.left(values, min, 0, n), bisect.left(values, max, 0, n)]; }; } function crossfilter_filterAll(values) { return [0, values.length]; } function crossfilter_null() { return null; } function crossfilter_zero() { return 0; } function crossfilter_reduceIncrement(p) { return p + 1; } function crossfilter_reduceDecrement(p) { return p - 1; } function crossfilter_reduceAdd(f) { return function(p, v) { return p + +f(v); }; } function crossfilter_reduceSubtract(f) { return function(p, v) { return p - f(v); }; } exports.crossfilter = crossfilter; function crossfilter() { var crossfilter = { add: add, dimension: dimension, groupAll: groupAll, size: size }; var data = [], // the records n = 0, // the number of records; data.length m = 0, // a bit mask representing which dimensions are in use M = 8, // number of dimensions that can fit in `filters` filters = crossfilter_array8(0), // M bits per record; 1 is filtered out filterListeners = [], // when the filters change dataListeners = []; // when data is added // Adds the specified new records to this crossfilter. function add(newData) { var n0 = n, n1 = newData.length; // If there's actually new data to add… // Merge the new data into the existing data. // Lengthen the filter bitset to handle the new records. // Notify listeners (dimensions and groups) that new data is available. if (n1) { data = data.concat(newData); filters = crossfilter_arrayLengthen(filters, n += n1); dataListeners.forEach(function(l) { l(newData, n0, n1); }); } return crossfilter; } // Adds a new dimension with the specified value accessor function. function dimension(value) { var dimension = { filter: filter, filterExact: filterExact, filterRange: filterRange, filterFunction: filterFunction, filterAll: filterAll, top: top, bottom: bottom, group: group, groupAll: groupAll, remove: remove }; var one = ~m & -~m, // lowest unset bit as mask, e.g., 00001000 zero = ~one, // inverted one, e.g., 11110111 values, // sorted, cached array index, // value rank ↦ object id newValues, // temporary array storing newly-added values newIndex, // temporary array storing newly-added index sort = quicksort_by(function(i) { return newValues[i]; }), refilter = crossfilter_filterAll, // for recomputing filter refilterFunction, // the custom filter function in use indexListeners = [], // when data is added dimensionGroups = [], lo0 = 0, hi0 = 0; // Updating a dimension is a two-stage process. First, we must update the // associated filters for the newly-added records. Once all dimensions have // updated their filters, the groups are notified to update. dataListeners.unshift(preAdd); dataListeners.push(postAdd); // Incorporate any existing data into this dimension, and make sure that the // filter bitset is wide enough to handle the new dimension. m |= one; if (M >= 32 ? !one : m & (1 << M) - 1) { filters = crossfilter_arrayWiden(filters, M <<= 1); } preAdd(data, 0, n); postAdd(data, 0, n); // Incorporates the specified new records into this dimension. // This function is responsible for updating filters, values, and index. function preAdd(newData, n0, n1) { // Permute new values into natural order using a sorted index. newValues = newData.map(value); newIndex = sort(crossfilter_range(n1), 0, n1); newValues = permute(newValues, newIndex); // Bisect newValues to determine which new records are selected. var bounds = refilter(newValues), lo1 = bounds[0], hi1 = bounds[1], i, k; if (refilterFunction) { for (i = 0; i < n1; ++i) { if (!refilterFunction(newValues[i], k = newIndex[i] + n0)) filters[k] |= one; } } else { for (i = 0; i < lo1; ++i) filters[newIndex[i] + n0] |= one; for (i = hi1; i < n1; ++i) filters[newIndex[i] + n0] |= one; } // If this dimension previously had no data, then we don't need to do the // more expensive merge operation; use the new values and index as-is. if (!n0) { values = newValues; index = newIndex; lo0 = lo1; hi0 = hi1; return; } var oldValues = values, oldIndex = index, i0 = 0, i1 = 0; // Otherwise, create new arrays into which to merge new and old. values = new Array(n); index = crossfilter_index(n, n); // Merge the old and new sorted values, and old and new index. for (i = 0; i0 < n0 && i1 < n1; ++i) { if (oldValues[i0] < newValues[i1]) { values[i] = oldValues[i0]; index[i] = oldIndex[i0++]; } else { values[i] = newValues[i1]; index[i] = newIndex[i1++] + n0; } } // Add any remaining old values. for (; i0 < n0; ++i0, ++i) { values[i] = oldValues[i0]; index[i] = oldIndex[i0]; } // Add any remaining new values. for (; i1 < n1; ++i1, ++i) { values[i] = newValues[i1]; index[i] = newIndex[i1] + n0; } // Bisect again to recompute lo0 and hi0. bounds = refilter(values), lo0 = bounds[0], hi0 = bounds[1]; } // When all filters have updated, notify index listeners of the new values. function postAdd(newData, n0, n1) { indexListeners.forEach(function(l) { l(newValues, newIndex, n0, n1); }); newValues = newIndex = null; } // Updates the selected values based on the specified bounds [lo, hi]. // This implementation is used by all the public filter methods. function filterIndexBounds(bounds) { var lo1 = bounds[0], hi1 = bounds[1]; if (refilterFunction) { refilterFunction = null; filterIndexFunction(function(d, i) { return lo1 <= i && i < hi1; }); lo0 = lo1; hi0 = hi1; return dimension; } var i, j, k, added = [], removed = []; // Fast incremental update based on previous lo index. if (lo1 < lo0) { for (i = lo1, j = Math.min(lo0, hi1); i < j; ++i) { filters[k = index[i]] ^= one; added.push(k); } } else if (lo1 > lo0) { for (i = lo0, j = Math.min(lo1, hi0); i < j; ++i) { filters[k = index[i]] ^= one; removed.push(k); } } // Fast incremental update based on previous hi index. if (hi1 > hi0) { for (i = Math.max(lo1, hi0), j = hi1; i < j; ++i) { filters[k = index[i]] ^= one; added.push(k); } } else if (hi1 < hi0) { for (i = Math.max(lo0, hi1), j = hi0; i < j; ++i) { filters[k = index[i]] ^= one; removed.push(k); } } lo0 = lo1; hi0 = hi1; filterListeners.forEach(function(l) { l(one, added, removed); }); return dimension; } // Filters this dimension using the specified range, value, or null. // If the range is null, this is equivalent to filterAll. // If the range is an array, this is equivalent to filterRange. // Otherwise, this is equivalent to filterExact. function filter(range) { return range == null ? filterAll() : Array.isArray(range) ? filterRange(range) : typeof range === "function" ? filterFunction(range) : filterExact(range); } // Filters this dimension to select the exact value. function filterExact(value) { return filterIndexBounds((refilter = crossfilter_filterExact(bisect, value))(values)); } // Filters this dimension to select the specified range [lo, hi]. // The lower bound is inclusive, and the upper bound is exclusive. function filterRange(range) { return filterIndexBounds((refilter = crossfilter_filterRange(bisect, range))(values)); } // Clears any filters on this dimension. function filterAll() { return filterIndexBounds((refilter = crossfilter_filterAll)(values)); } // Filters this dimension using an arbitrary function. function filterFunction(f) { refilter = crossfilter_filterAll; filterIndexFunction(refilterFunction = f); lo0 = 0; hi0 = n; return dimension; } function filterIndexFunction(f) { var i, k, x, added = [], removed = []; for (i = 0; i < n; ++i) { if (!(filters[k = index[i]] & one) ^ (x = f(values[i], k))) { if (x) filters[k] &= zero, added.push(k); else filters[k] |= one, removed.push(k); } } filterListeners.forEach(function(l) { l(one, added, removed); }); } // Returns the top K selected records based on this dimension's order. // Note: observes this dimension's filter, unlike group and groupAll. function top(k) { var array = [], i = hi0, j; while (--i >= lo0 && k > 0) { if (!filters[j = index[i]]) { array.push(data[j]); --k; } } return array; } // Returns the bottom K selected records based on this dimension's order. // Note: observes this dimension's filter, unlike group and groupAll. function bottom(k) { var array = [], i = lo0, j; while (i < hi0 && k > 0) { if (!filters[j = index[i]]) { array.push(data[j]); --k; } i++; } return array; } // Adds a new group to this dimension, using the specified key function. function group(key) { var group = { top: top, all: all, reduce: reduce, reduceCount: reduceCount, reduceSum: reduceSum, order: order, orderNatural: orderNatural, size: size, remove: remove }; // Ensure that this group will be removed when the dimension is removed. dimensionGroups.push(group); var groups, // array of {key, value} groupIndex, // object id ↦ group id groupWidth = 8, groupCapacity = crossfilter_capacity(groupWidth), k = 0, // cardinality select, heap, reduceAdd, reduceRemove, reduceInitial, update = crossfilter_null, reset = crossfilter_null, resetNeeded = true; if (arguments.length < 1) key = crossfilter_identity; // The group listens to the crossfilter for when any dimension changes, so // that it can update the associated reduce values. It must also listen to // the parent dimension for when data is added, and compute new keys. filterListeners.push(update); indexListeners.push(add); // Incorporate any existing data into the grouping. add(values, index, 0, n); // Incorporates the specified new values into this group. // This function is responsible for updating groups and groupIndex. function add(newValues, newIndex, n0, n1) { var oldGroups = groups, reIndex = crossfilter_index(k, groupCapacity), add = reduceAdd, initial = reduceInitial, k0 = k, // old cardinality i0 = 0, // index of old group i1 = 0, // index of new record j, // object id g0, // old group x0, // old key x1, // new key g, // group to add x; // key of group to add // If a reset is needed, we don't need to update the reduce values. if (resetNeeded) add = initial = crossfilter_null; // Reset the new groups (k is a lower bound). // Also, make sure that groupIndex exists and is long enough. groups = new Array(k), k = 0; groupIndex = k0 > 1 ? crossfilter_arrayLengthen(groupIndex, n) : crossfilter_index(n, groupCapacity); // Get the first old key (x0 of g0), if it exists. if (k0) x0 = (g0 = oldGroups[0]).key; // Find the first new key (x1), skipping NaN keys. while (i1 < n1 && !((x1 = key(newValues[i1])) >= x1)) ++i1; // While new keys remain… while (i1 < n1) { // Determine the lesser of the two current keys; new and old. // If there are no old keys remaining, then always add the new key. if (g0 && x0 <= x1) { g = g0, x = x0; // Record the new index of the old group. reIndex[i0] = k; // Retrieve the next old key. if (g0 = oldGroups[++i0]) x0 = g0.key; } else { g = {key: x1, value: initial()}, x = x1; } // Add the lesser group. groups[k] = g; // Add any selected records belonging to the added group, while // advancing the new key and populating the associated group index. while (!(x1 > x)) { groupIndex[j = newIndex[i1] + n0] = k; if (!(filters[j] & zero)) g.value = add(g.value, data[j]); if (++i1 >= n1) break; x1 = key(newValues[i1]); } groupIncrement(); } // Add any remaining old groups that were greater than all new keys. // No incremental reduce is needed; these groups have no new records. // Also record the new index of the old group. while (i0 < k0) { groups[reIndex[i0] = k] = oldGroups[i0++]; groupIncrement(); } // If we added any new groups before any old groups, // update the group index of all the old records. if (k > i0) for (i0 = 0; i0 < n0; ++i0) { groupIndex[i0] = reIndex[groupIndex[i0]]; } // Modify the update and reset behavior based on the cardinality. // If the cardinality is less than or equal to one, then the groupIndex // is not needed. If the cardinality is zero, then there are no records // and therefore no groups to update or reset. Note that we also must // change the registered listener to point to the new method. j = filterListeners.indexOf(update); if (k > 1) { update = updateMany; reset = resetMany; } else { if (k === 1) { update = updateOne; reset = resetOne; } else { update = crossfilter_null; reset = crossfilter_null; } groupIndex = null; } filterListeners[j] = update; // Count the number of added groups, // and widen the group index as needed. function groupIncrement() { if (++k === groupCapacity) { reIndex = crossfilter_arrayWiden(reIndex, groupWidth <<= 1); groupIndex = crossfilter_arrayWiden(groupIndex, groupWidth); groupCapacity = crossfilter_capacity(groupWidth); } } } // Reduces the specified selected or deselected records. // This function is only used when the cardinality is greater than 1. function updateMany(filterOne, added, removed) { if (filterOne === one || resetNeeded) return; var i, k, n, g; // Add the added values. for (i = 0, n = added.length; i < n; ++i) { if (!(filters[k = added[i]] & zero)) { g = groups[groupIndex[k]]; g.value = reduceAdd(g.value, data[k]); } } // Remove the removed values. for (i = 0, n = removed.length; i < n; ++i) { if ((filters[k = removed[i]] & zero) === filterOne) { g = groups[groupIndex[k]]; g.value = reduceRemove(g.value, data[k]); } } } // Reduces the specified selected or deselected records. // This function is only used when the cardinality is 1. function updateOne(filterOne, added, removed) { if (filterOne === one || resetNeeded) return; var i, k, n, g = groups[0]; // Add the added values. for (i = 0, n = added.length; i < n; ++i) { if (!(filters[k = added[i]] & zero)) { g.value = reduceAdd(g.value, data[k]); } } // Remove the removed values. for (i = 0, n = removed.length; i < n; ++i) { if ((filters[k = removed[i]] & zero) === filterOne) { g.value = reduceRemove(g.value, data[k]); } } } // Recomputes the group reduce values from scratch. // This function is only used when the cardinality is greater than 1. function resetMany() { var i, g; // Reset all group values. for (i = 0; i < k; ++i) { groups[i].value = reduceInitial(); } // Add any selected records. for (i = 0; i < n; ++i) { if (!(filters[i] & zero)) { g = groups[groupIndex[i]]; g.value = reduceAdd(g.value, data[i]); } } } // Recomputes the group reduce values from scratch. // This function is only used when the cardinality is 1. function resetOne() { var i, g = groups[0]; // Reset the singleton group values. g.value = reduceInitial(); // Add any selected records. for (i = 0; i < n; ++i) { if (!(filters[i] & zero)) { g.value = reduceAdd(g.value, data[i]); } } } // Returns the array of group values, in the dimension's natural order. function all() { if (resetNeeded) reset(), resetNeeded = false; return groups; } // Returns a new array containing the top K group values, in reduce order. function top(k) { var top = select(all(), 0, groups.length, k); return heap.sort(top, 0, top.length); } // Sets the reduce behavior for this group to use the specified functions. // This method lazily recomputes the reduce values, waiting until needed. function reduce(add, remove, initial) { reduceAdd = add; reduceRemove = remove; reduceInitial = initial; resetNeeded = true; return group; } // A convenience method for reducing by count. function reduceCount() { return reduce(crossfilter_reduceIncrement, crossfilter_reduceDecrement, crossfilter_zero); } // A convenience method for reducing by sum(value). function reduceSum(value) { return reduce(crossfilter_reduceAdd(value), crossfilter_reduceSubtract(value), crossfilter_zero); } // Sets the reduce order, using the specified accessor. function order(value) { select = heapselect_by(valueOf); heap = heap_by(valueOf); function valueOf(d) { return value(d.value); } return group; } // A convenience method for natural ordering by reduce value. function orderNatural() { return order(crossfilter_identity); } // Returns the cardinality of this group, irrespective of any filters. function size() { return k; } // Removes this group and associated event listeners. function remove() { var i = filterListeners.indexOf(update); if (i >= 0) filterListeners.splice(i, 1); i = indexListeners.indexOf(add); if (i >= 0) indexListeners.splice(i, 1); return group; } return reduceCount().orderNatural(); } // A convenience function for generating a singleton group. function groupAll() { var g = group(crossfilter_null), all = g.all; delete g.all; delete g.top; delete g.order; delete g.orderNatural; delete g.size; g.value = function() { return all()[0].value; }; return g; } function remove() { dimensionGroups.forEach(function(group) { group.remove(); }); var i = dataListeners.indexOf(preAdd); if (i >= 0) dataListeners.splice(i, 1); i = dataListeners.indexOf(postAdd); if (i >= 0) dataListeners.splice(i, 1); for (i = 0; i < n; ++i) filters[i] &= zero; m &= zero; return dimension; } return dimension; } // A convenience method for groupAll on a dummy dimension. // This implementation can be optimized since it always has cardinality 1. function groupAll() { var group = { reduce: reduce, reduceCount: reduceCount, reduceSum: reduceSum, value: value, remove: remove }; var reduceValue, reduceAdd, reduceRemove, reduceInitial, resetNeeded = true; // The group listens to the crossfilter for when any dimension changes, so // that it can update the reduce value. It must also listen to the parent // dimension for when data is added. filterListeners.push(update); dataListeners.push(add); // For consistency; actually a no-op since resetNeeded is true. add(data, 0, n); // Incorporates the specified new values into this group. function add(newData, n0) { var i; if (resetNeeded) return; // Add the added values. for (i = n0; i < n; ++i) { if (!filters[i]) { reduceValue = reduceAdd(reduceValue, data[i]); } } } // Reduces the specified selected or deselected records. function update(filterOne, added, removed) { var i, k, n; if (resetNeeded) return; // Add the added values. for (i = 0, n = added.length; i < n; ++i) { if (!filters[k = added[i]]) { reduceValue = reduceAdd(reduceValue, data[k]); } } // Remove the removed values. for (i = 0, n = removed.length; i < n; ++i) { if (filters[k = removed[i]] === filterOne) { reduceValue = reduceRemove(reduceValue, data[k]); } } } // Recomputes the group reduce value from scratch. function reset() { var i; reduceValue = reduceInitial(); for (i = 0; i < n; ++i) { if (!filters[i]) { reduceValue = reduceAdd(reduceValue, data[i]); } } } // Sets the reduce behavior for this group to use the specified functions. // This method lazily recomputes the reduce value, waiting until needed. function reduce(add, remove, initial) { reduceAdd = add; reduceRemove = remove; reduceInitial = initial; resetNeeded = true; return group; } // A convenience method for reducing by count. function reduceCount() { return reduce(crossfilter_reduceIncrement, crossfilter_reduceDecrement, crossfilter_zero); } // A convenience method for reducing by sum(value). function reduceSum(value) { return reduce(crossfilter_reduceAdd(value), crossfilter_reduceSubtract(value), crossfilter_zero); } // Returns the computed reduce value. function value() { if (resetNeeded) reset(), resetNeeded = false; return reduceValue; } // Removes this group and associated event listeners. function remove() { var i = filterListeners.indexOf(update); if (i >= 0) filterListeners.splice(i); i = dataListeners.indexOf(add); if (i >= 0) dataListeners.splice(i); return group; } return reduceCount(); } // Returns the number of records in this crossfilter, irrespective of any filters. function size() { return n; } return arguments.length ? add(arguments[0]) : crossfilter; } // Returns an array of size n, big enough to store ids up to m. function crossfilter_index(n, m) { return (m < 0x101 ? crossfilter_array8 : m < 0x10001 ? crossfilter_array16 : crossfilter_array32)(n); } // Constructs a new array of size n, with sequential values from 0 to n - 1. function crossfilter_range(n) { var range = crossfilter_index(n, n); for (var i = -1; ++i < n;) range[i] = i; return range; } function crossfilter_capacity(w) { return w === 8 ? 0x100 : w === 16 ? 0x10000 : 0x100000000; } })(this); This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. 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Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,330 @@ <!DOCTYPE html> <html lang='en'> <head> <meta charset='utf-8'> <title>dc.js Experiment</title> <script src='d3.v3.js' type='text/javascript'></script> <script src='crossfilter.js' type='text/javascript'></script> <script src='dc.js' type='text/javascript'></script> <script src='jquery-1.9.1.min.js' type='text/javascript'></script> <script src='bootstrap.min.js' type='text/javascript'></script> <link href='bootstrap.min.css' rel='stylesheet' type='text/css'> <link href='dc.css' rel='stylesheet' type='text/css'> <style type="text/css"></style> <style> h4 span { font-size:14px; font-weight:normal; } h2 { float: right; } h2 span { font-size:14px; font-weight:normal; } </style> </head> <body> <div class='container' style='font: 12px sans-serif;'> <div class="dc-data-count" style="float: left;"> <h2>New Zealand Earthquakes <span> <span class="filter-count"></span> selected out of <span class="total-count"></span> records | <a href="javascript:dc.filterAll(); dc.renderAll();">Reset All</a> </span> </h2> </div> <div class='row'> <div class='span6' id='dc-magnitude-chart'> <h4> Number of Events by Magnitude <span> <a class="reset" href="javascript:magnitudeChart.filterAll();dc.redrawAll();" style="display: none;"> reset </a> </span> </h4> </div> <div class='span6' id='dc-depth-chart'> <h4> Events by Depth (km) <span> <a class="reset" href="javascript:depthChart.filterAll();dc.redrawAll();" style="display: none;"> reset </a> </span> </h4> </div> </div> <div class='row'> <div class='span12' id='dc-time-chart'> <h4> Events per hour <span> <a class="reset" href="javascript:timeChart.filterAll();dc.redrawAll();" style="display: none;"> reset </a> </span> </h4> </div> </div> <div class='row'> <div class='span4' id='dc-dayweek-chart'> <h4> Day of the Week <span> <a class="reset" href="javascript:dayOfWeekChart.filterAll();dc.redrawAll();" style="display: none;"> reset </a> </span> </h4> <div class="clearfix"></div> </div> <div class='span4' id='dc-island-chart'> <h4> North or South Island <span> <a class="reset" href="javascript:islandChart.filterAll();dc.redrawAll();" style="display: none;"> reset </a> </span> </h4> </div> <div class='span4' id='blank2'> <h4>Blank 2</h4> </div> </div> <div class='row'> <div class='span12'> <table class='table table-hover' id='dc-table-graph'> <thead> <tr class='header'> <th>DTG</th> <th>Lat</th> <th>Long</th> <th>Depth</th> <th>Magnitude</th> <th>Google Map</th> <th>OSM Map</th> </tr> </thead> </table> </div> </div> </div> <script type="text/javascript"> // Create the dc.js chart objects & link to div var dataTable = dc.dataTable("#dc-table-graph"); var magnitudeChart = dc.barChart("#dc-magnitude-chart"); var depthChart = dc.barChart("#dc-depth-chart"); var dayOfWeekChart = dc.rowChart("#dc-dayweek-chart"); var islandChart = dc.pieChart("#dc-island-chart"); var timeChart = dc.lineChart("#dc-time-chart"); // load data from a csv file d3.csv("quake-later3.csv", function (data) { // format our data var dtgFormat = d3.time.format("%Y-%m-%dT%H:%M:%S"); var dtgFormat2 = d3.time.format("%a %e %b %H:%M"); data.forEach(function(d) { d.dtg1 = d.origintime.substr(0,10) + " " + d.origintime.substr(11,8); d.dtg = dtgFormat.parse(d.origintime.substr(0,19)); d.lat = +d.latitude; d.long = +d.longitude; d.mag = d3.round(+d.magnitude,1); d.depth = d3.round(+d.depth,0); }); // Run the data through crossfilter and load our 'facts' var facts = crossfilter(data); var all = facts.groupAll(); // for Magnitude var magValue = facts.dimension(function (d) { return d.mag; // add the magnitude dimension }); var magValueGroupSum = magValue.group() .reduceSum(function(d) { return d.mag; }); // sums var magValueGroupCount = magValue.group() .reduceCount(function(d) { return d.mag; }) // counts // for Depth var depthValue = facts.dimension(function (d) { return d.depth; }); var depthValueGroup = depthValue.group(); // time chart var volumeByHour = facts.dimension(function(d) { return d3.time.hour(d.dtg); }); var volumeByHourGroup = volumeByHour.group() .reduceCount(function(d) { return d.dtg; }); // row chart Day of Week var dayOfWeek = facts.dimension(function (d) { var day = d.dtg.getDay(); switch (day) { case 0: return "0.Sun"; case 1: return "1.Mon"; case 2: return "2.Tue"; case 3: return "3.Wed"; case 4: return "4.Thu"; case 5: return "5.Fri"; case 6: return "6.Sat"; } }); var dayOfWeekGroup = dayOfWeek.group(); // Pie Chart var islands = facts.dimension(function (d) { if (d.lat <= -40.555907 && d.long <= 174.590607) return "South"; else return "North"; }); var islandsGroup = islands.group(); // Create datatable dimension var timeDimension = facts.dimension(function (d) { return d.dtg; }); // Setup the charts // count all the facts dc.dataCount(".dc-data-count") .dimension(facts) .group(all); // Magnitide Bar Graph Counted magnitudeChart.width(480) .height(150) .margins({top: 10, right: 10, bottom: 20, left: 40}) .dimension(magValue) .group(magValueGroupCount) .transitionDuration(500) .centerBar(true) .gap(65) // 65 = norm // .filter([3, 5]) .x(d3.scale.linear().domain([0.5, 7.5])) .elasticY(true) .xAxis().tickFormat(); // Depth bar graph depthChart.width(480) .height(150) .margins({top: 10, right: 10, bottom: 20, left: 40}) .dimension(depthValue) .group(depthValueGroup) .transitionDuration(500) .centerBar(true) .gap(1) .x(d3.scale.linear().domain([0, 100])) .elasticY(true) .xAxis().tickFormat(function(v) {return v;}); // time graph timeChart.width(960) .height(150) .transitionDuration(500) // .mouseZoomable(true) .margins({top: 10, right: 10, bottom: 20, left: 40}) .dimension(volumeByHour) .group(volumeByHourGroup) // .brushOn(false) // added for title .title(function(d){ return dtgFormat2(d.data.key) + "\nNumber of Events: " + d.data.value; }) .elasticY(true) .x(d3.time.scale().domain(d3.extent(data, function(d) { return d.dtg; }))) .xAxis(); // row chart day of week dayOfWeekChart.width(300) .height(220) .margins({top: 5, left: 10, right: 10, bottom: 20}) .dimension(dayOfWeek) .group(dayOfWeekGroup) .colors(d3.scale.category10()) .label(function (d){ return d.key.split(".")[1]; }) .title(function(d){return d.value;}) .elasticX(true) .xAxis().ticks(4); // islands pie chart islandChart.width(250) .height(220) .radius(100) .innerRadius(30) .dimension(islands) .title(function(d){return d.value;}) .group(islandsGroup); // Table of earthquake data dataTable.width(960).height(800) .dimension(timeDimension) .group(function(d) { return "Earthquake Table" }) .size(10) .columns([ function(d) { return d.dtg1; }, function(d) { return d.lat; }, function(d) { return d.long; }, function(d) { return d.depth; }, function(d) { return d.mag; }, function(d) { return '<a href=\"http://maps.google.com/maps?z=12&t=m&q=loc:' + d.lat + '+' + d.long +"\" target=\"_blank\">Google Map</a>"}, function(d) { return '<a href=\"http://www.openstreetmap.org/?mlat=' + d.lat + '&mlon=' + d.long +'&zoom=12'+ "\" target=\"_blank\"> OSM Map</a>"} ]) .sortBy(function(d){ return d.dtg; }) .order(d3.ascending); // Render the Charts dc.renderAll(); }); </script> </body> </html> This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. 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