แก้ coding style ภาค 10

examples/js/algos/hybrid.js

@@ -2,9 +2,9 @@
  * Initialize the hybrid layout algorithm and start simulation.
  */
 function startHybridSimulation () {
-  console.log("startHybridSimulation");
+  console.log('startHybridSimulation');
   springForce = false;
-  d3.selectAll(".nodes").remove();
+  d3.selectAll('.nodes').remove();
   manualStop = false;
   simulation.stop();
   p1 = performance.now();
@@ -17,13 +17,13 @@ function startHybridSimulation() {
     .neighbourSize(NEIGHBOUR_SIZE)
     .sampleSize(SAMPLE_SIZE)
     .stableVelocity(0) // Change here
-    .distance(distance)
+    .distance(distance);
 
   let forceFull = d3.forceNeighbourSampling()
     .neighbourSize(FULL_NEIGHBOUR_SIZE)
     .sampleSize(FULL_SAMPLE_SIZE)
     .stableVelocity(0) // Change here
-    .distance(distance)
+    .distance(distance);
 
   let hybridSimulation = d3.hybridSimulation(simulation, forceSample, forceFull)
     .sampleIterations(ITERATIONS)
@@ -31,10 +31,10 @@ function startHybridSimulation() {
     .numPivots(PIVOTS ? NUM_PIVOTS : -1)
     .interpFindTuneIts(INTERP_ENDING_ITS)
     .interpDistanceFn(distance)
-    .on("sampleTick", ticked)
+    .on('sampleTick', ticked)
-    .on("fullTick", ticked)
+    .on('fullTick', ticked)
-    .on("startInterp", startedFull)
+    .on('startInterp', startedFull)
-    .on("end", ended);
+    .on('end', ended);
 
   let sample = hybridSimulation.subSet();
   addNodesToDOM(sample);
@@ -42,8 +42,8 @@ function startHybridSimulation() {
   hybridSimulation.restart();
 
   function startedFull () {
-    console.log("startedFull");
+    console.log('startedFull');
-    d3.selectAll(".nodes").remove();
+    d3.selectAll('.nodes').remove();
     addNodesToDOM(nodes);
   }
 }

examples/js/algos/linkForce.js

@@ -2,7 +2,7 @@
  * Initialize the link force algorithm and start simulation.
  */
 function startLinkSimulation () {
-  console.log("startLinkSimulation")
+  console.log('startLinkSimulation');
   springForce = false;
   alreadyRanIterations = 0;
   manualStop = true;
@@ -17,13 +17,12 @@ function startLinkSimulation() {
       })
       .stableVelocity(0) // Change here
       .onStableVelo(ended);
-  }
+  } else {
-  else {
     for (i = nodes.length - 1; i >= 1; i--) {
       for (j = i - 1; j >= 0; j--) {
         links.push({
           source: nodes[i],
-          target: nodes[j],
+          target: nodes[j]
         });
       }
     }
@@ -51,8 +50,8 @@ function startLinkSimulation() {
   simulation
     .alphaDecay(0)
     .alpha(1)
-    .on("tick", ticked)
+    .on('tick', ticked)
-    .on("end", ended)
+    .on('end', ended)
     // .velocityDecay(0.8)
     .force(forceName, force)
     .restart();

examples/js/algos/neighbourSampling.js

@@ -2,7 +2,7 @@
  * Initialize the Chalmers' 1996 algorithm and start simulation.
  */
 function startNeighbourSamplingSimulation () {
-  console.log("startNeighbourSamplingSimulation");
+  console.log('startNeighbourSamplingSimulation');
   // springForce = true;
   alreadyRanIterations = 0;
   manualStop = true;
@@ -21,8 +21,8 @@ function startNeighbourSamplingSimulation() {
   simulation
     .alphaDecay(0)
     .alpha(1)
-    .on("tick", ticked)
+    .on('tick', ticked)
-    .on("end", ended)
+    .on('end', ended)
     .force(forceName, force);
   // Restart the simulation.
   simulation.restart();

examples/js/algos/otherAlgo.js

@@ -26,15 +26,15 @@ function starttSNE() {
  * Initialize the Barnes-Hut algorithm and start simulation.
 */
 function startBarnesHutSimulation () {
-  console.log("startBarnesHutSimulation")
+  console.log('startBarnesHutSimulation');
   alreadyRanIterations = 0;
   manualStop = false;
   springForce = false;
   p1 = performance.now();
 
   simulation.alphaDecay(1 - Math.pow(0.001, 1 / ITERATIONS))
-      .on("tick", ticked)
+    .on('tick', ticked)
-      .on("end", ended)
+    .on('end', ended)
     .force(forceName, d3.forceBarnesHut()
     // The distance function that will be used to calculate distances
     //  between nodes.

examples/js/distances/cosineSimilarity.js

@@ -12,7 +12,7 @@ function calculateCosineSimilarity(source, target, properties, normArgs) {
   // Iterate through every column of data
   for (var i = 0; i < properties.length; i++) {
     property = properties[i];
-    if (property.toLowerCase() !== "class" && property.toLowerCase() !== "app" && property.toLowerCase() !== "user" && property.toLowerCase() !== "weekday") {
+    if (property.toLowerCase() !== 'class' && property.toLowerCase() !== 'app' && property.toLowerCase() !== 'user' && property.toLowerCase() !== 'weekday') {
       var s = source[property],
         t = target[property];
 

examples/js/distances/diceDissimilarity.js

@@ -12,7 +12,7 @@ function calculateDiceDissimilarity(source, target, properties, normArgs) {
   // Iterate through every column of data
   for (var i = 0; i < properties.length; i++) {
     property = properties[i];
-    if (property.toLowerCase() !== "class" && property.toLowerCase() !== "app" && property.toLowerCase() !== "user" && property.toLowerCase() !== "weekday") {
+    if (property.toLowerCase() !== 'class' && property.toLowerCase() !== 'app' && property.toLowerCase() !== 'user' && property.toLowerCase() !== 'weekday') {
       var s = source[property],
         t = target[property];
 

examples/js/distances/distance.js

@@ -19,8 +19,8 @@ function calculateDistance(source, target, properties, normArgs) {
   // Iterate through every column of data
   for (var i = 0; i < properties.length; i++) {
     property = properties[i];
-    if (source.hasOwnProperty(property) && target.hasOwnProperty(property)
+    if (source.hasOwnProperty(property) && target.hasOwnProperty(property) &&
-        && property.toLowerCase() !== "index" && property.toLowerCase() !== "type") {
+        property.toLowerCase() !== 'index' && property.toLowerCase() !== 'type') {
       var s = source[property],
         t = target[property];
 
@@ -42,9 +42,8 @@ function calculateDistance(source, target, properties, normArgs) {
         // Comparing Dates
         var parsedDateS = Date.parse(s);
         var parsedDateT = Date.parse(t);
-        if (isNaN(s) && !isNaN(parsedDateS)
+        if (isNaN(s) && !isNaN(parsedDateS) &&
-            && isNaN(t) && !isNaN(parsedDateT)) {
+            isNaN(t) && !isNaN(parsedDateT)) {
-
           val1 = parsedDateS.valueOf(),
           val2 = parsedDateT.valueOf();
 

examples/js/distances/distancePokerHands.js

@@ -10,7 +10,7 @@ function calculateDistancePoker(source, target) {
   var sumDiff = 0.0,
     ordDiff = 1.0,
     ORD_FACTOR = 1.5,
-      cards = ["C1", "C2", "C3", "C4", "C5"],
+    cards = ['C1', 'C2', 'C3', 'C4', 'C5'],
     cols = 0;
 
   // Iterate through cards
@@ -26,13 +26,13 @@ function calculateDistancePoker(source, target) {
 
   // Class of poker hands describes the similarities the best
   // so give it more priority than checking the differences between cards.
-  if (source.hasOwnProperty("CLASS") && target.hasOwnProperty("CLASS")) {
+  if (source.hasOwnProperty('CLASS') && target.hasOwnProperty('CLASS')) {
-    var s = parseInt(source["CLASS"]),
+    var s = parseInt(source['CLASS']),
-        t = parseInt(target["CLASS"]);
+      t = parseInt(target['CLASS']);
 
     // If classes differ, then scale them by a factor.
     if (s !== t) {
-      ordDiff *= (ORD_FACTOR * (Math.abs(s-t)))
+      ordDiff *= (ORD_FACTOR * (Math.abs(s - t)));
     }
   }
 

examples/js/distances/euclideanDistance.js

@@ -12,7 +12,7 @@ function calculateEuclideanDistance(source, target, properties, normArgs) {
   // Iterate through every column of data
   for (var i = 0; i < properties.length; i++) {
     property = properties[i];
-    if (property.toLowerCase() !== "class" && property.toLowerCase() !== "app" && property.toLowerCase() !== "user" && property.toLowerCase() !== "weekday" && property.toLowerCase() !== "type") {
+    if (property.toLowerCase() !== 'class' && property.toLowerCase() !== 'app' && property.toLowerCase() !== 'user' && property.toLowerCase() !== 'weekday' && property.toLowerCase() !== 'type') {
       var s = source[property],
         t = target[property];
 

examples/js/distances/euclideanDistanceInTSNE.js

@@ -15,7 +15,7 @@ function calculateEuclideanDistanceTSNE(source, target, properties, normArgs) {
   for (var i = 0; i < properties.length; i++) {
     property = properties[i];
     if (source.hasOwnProperty(property) && target.hasOwnProperty(property) &&
-      property.toLowerCase() !== "class") {
+      property.toLowerCase() !== 'class') {
       var s = source[property],
         t = target[property];
 

examples/js/distances/jaccardDissimilarity.js

@@ -12,7 +12,7 @@ function calculateJaccardDissimilarity(source, target, properties, normArgs) {
   // Iterate through every column of data
   for (var i = 0; i < properties.length; i++) {
     property = properties[i];
-    if (property.toLowerCase() !== "class" && property.toLowerCase() !== "app" && property.toLowerCase() !== "user" && property.toLowerCase() !== "weekday") {
+    if (property.toLowerCase() !== 'class' && property.toLowerCase() !== 'app' && property.toLowerCase() !== 'user' && property.toLowerCase() !== 'weekday') {
       var s = source[property],
         t = target[property];
 

examples/js/distances/manhattanDistance.js

@@ -13,7 +13,7 @@ function calculateManhattanDistance(source, target, properties, normArgs) {
   // Iterate through every column of data
   for (var i = 0; i < properties.length; i++) {
     property = properties[i];
-    if (property.toLowerCase() !== "class" && property.toLowerCase() !== "app" && property.toLowerCase() !== "user" && property.toLowerCase() !== "weekday") {
+    if (property.toLowerCase() !== 'class' && property.toLowerCase() !== 'app' && property.toLowerCase() !== 'user' && property.toLowerCase() !== 'weekday') {
       var s = source[property],
         t = target[property];
 

examples/js/distances/normalization.js

@@ -23,10 +23,8 @@ function calculateNormalization(nodes) {
   };
 }
 
-
 function standardDevation (nodes, properties, avg) {
-
+  var stDev = new Array(properties.length).fill(0);
-  var stDev = new Array(properties.length).fill(0)
 
   for (var i = 0; i < properties.length; i++) {
     var sum = 0;
@@ -52,7 +50,6 @@ function standardDevation(nodes, properties, avg) {
   }
 
   return stDev;
-
 }
 
 // Calculate the sum of values and the squared sum