CSCI-4830-002-2014 · adrian-chen · Nov 6, 2014 · Nov 7, 2014 · Nov 9, 2014 · Nov 10, 2014
diff --git a/README.md b/README.md
@@ -1,75 +1,52 @@
 # Name
 
-write-your-name
+Adrian Chen
 
 # How many points have you earned?
 
-0/100
+90/100
 
 (Make your own calculation and replace the number 0 with the points you think you've earned.)
 
 # How many hours have you spent on this?
 
-fill-in-your-answer
+8
 
 # When did you first start working on this week's learning challenges?
 
-fill-in-your-answer
+Thursday
 
 # What is the most difficult part about this week's challenge?
 
-fill-in-your-answer
+Getting the mongoDB to corrrectly accept my JSON. After 3 hours and no clue where to try next, I gave up.
 
 # Graph Database I
 
 ## Checkpoints (5 points x 3 = 15 points)
 
 ### 1. (5 point)
 
-![screenshot](screenshot.png)
+![screenshot](neo4j/CP1.png)
 
 ### 2. (5 point)
 
-![screenshot](screenshot.png)
+![screenshot](neo4j/CP2.png)
 
 ### 3. (5 point)
 
-![screenshot](screenshot.png)
+![screenshot](neo4j/CP3.png)
 
 # MongoDB IV
 
 ## Challenges (5 points x 4 = 20 points)
 
 ### 1. (5 point)
 
-Count
-
-![screenshot](screenshot.png)
-
-FindOne
-
-![screenshot](screenshot.png)
-
-
-Query
-
-![screenshot](screenshot.png)
-
+![screenshot](mongoDB/CP1.png)
 
 ### 2. (5 point)
 
-Count
-
-![screenshot](screenshot.png)
-
-FindOne
-
-![screenshot](screenshot.png)
-
-
-Query
-
-![screenshot](screenshot.png)
+![screenshot](mongoDB/CP2.png)
 
 ### 3. (5 point)
 
@@ -112,141 +89,101 @@ Query 2
 
 ### 1. (5 point)
 
-![screenshot](screenshot.png)
+![screenshot](matlab/CP1.PNG)
+Couldn't get the toolboxes for knnclassify and svmtrain without paying.
 
 ### 2. (5 point)
 
-![screenshot](screenshot.png)
+![screenshot](matlab/CP2.PNG)
+Changed numTrees to 10, and dist to 'mvmn'.
 
 ## Challenges (5 points x 4 = 20 points)
 
 ### 1. (5 point)
 
-Accuracy = {fill-in-your-best-number}
-
-Features/Parameters
-
-	%%%%%%%%% Choose feature source %%%%%%%%%%%
-	add_accelerometer = {TODO}; % Adds accelerometer features
-	add_gyroscope = {TODO}; % Adds gyroscope features
-	add_magneticField = {TODO}; % Adds magnetic field features
-	add_gravity = {TODO}; % Adds gravity features
-	add_linearAcceleration = {TODO}; % Adds linear acceleration features
-	add_orientation = {TODO}; % Adds azimuth, pich and roll features
-	add_light = {TODO}; % Adds light value
-	add_proximity = {TODO}; % Adds proximity value
-	add_studentID = {TODO}; % Adds student ID
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-	%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
-	numTrees = {TODO}; % Try different number of trees for the Random Forest classifier
-	sigma = {TODO}; % Try different values of sigma for the Support Vector Machine classifier
-	dist = {TODO}; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
-	K = {TODO}; % Try different values of K for the K-nearest Neighbor classifier
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+N/A
 
 ### 2. (5 point)
 
-Accuracy = {fill-in-your-best-number}
+Accuracy = 71.4561
 
 Features/Parameters
 
-	%%%%%%%%% Choose feature source %%%%%%%%%%%
-	add_accelerometer = {TODO}; % Adds accelerometer features
-	add_gyroscope = {TODO}; % Adds gyroscope features
-	add_magneticField = {TODO}; % Adds magnetic field features
-	add_gravity = {TODO}; % Adds gravity features
-	add_linearAcceleration = {TODO}; % Adds linear acceleration features
-	add_orientation = {TODO}; % Adds azimuth, pich and roll features
-	add_light = {TODO}; % Adds light value
-	add_proximity = {TODO}; % Adds proximity value
-	add_studentID = {TODO}; % Adds student ID
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-	 
-	%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
-	numTrees = {TODO}; % Try different number of trees for the Random Forest classifier
-	sigma = {TODO}; % Try different values of sigma for the Support Vector Machine classifier
-	dist = {TODO}; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
-	K = {TODO}; % Try different values of K for the K-nearest Neighbor classifier
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%%%%%%%%% Choose feature source %%%%%%%%%%%
+add_accelerometer = true; % Adds accelerometer features
+add_gyroscope = true; % Adds gyroscope features
+add_magneticField = true; % Adds magnetic field features
+add_gravity = true; % Adds gravity features
+add_linearAcceleration = true; % Adds linear acceleration features
+add_orientation = true; % Adds azimuth, pich and roll features
+add_light = true; % Adds light value
+add_proximity = true; % Adds proximity value
+add_studentID = true; % Adds student ID
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
+numTrees = 1000; % Try different number of trees for the Random Forest classifier
+sigma = 1; % Try different values of sigma for the Support Vector Machine classifier
+dist = 'kernel'; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
+K = 20; % Try different values of K for the K-nearest Neighbor classifier
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 ### 3. (5 point)
 
-Accuracy = {fill-in-your-best-number}
-
-Features/Parameters
-
-	%%%%%%%%% Choose feature source %%%%%%%%%%%
-	add_accelerometer = {TODO}; % Adds accelerometer features
-	add_gyroscope = {TODO}; % Adds gyroscope features
-	add_magneticField = {TODO}; % Adds magnetic field features
-	add_gravity = {TODO}; % Adds gravity features
-	add_linearAcceleration = {TODO}; % Adds linear acceleration features
-	add_orientation = {TODO}; % Adds azimuth, pich and roll features
-	add_light = {TODO}; % Adds light value
-	add_proximity = {TODO}; % Adds proximity value
-	add_studentID = {TODO}; % Adds student ID
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-	%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
-	numTrees = {TODO}; % Try different number of trees for the Random Forest classifier
-	sigma = {TODO}; % Try different values of sigma for the Support Vector Machine classifier
-	dist = {TODO}; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
-	K = {TODO}; % Try different values of K for the K-nearest Neighbor classifier
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+N/A
 
 ### 4. (5 point)
 
-Accuracy = {fill-in-your-best-number}
+Accuracy = 91.7068
 
 Features/Parameters
 
-	%%%%%%%%% Choose feature source %%%%%%%%%%%
-	add_accelerometer = {TODO}; % Adds accelerometer features
-	add_gyroscope = {TODO}; % Adds gyroscope features
-	add_magneticField = {TODO}; % Adds magnetic field features
-	add_gravity = {TODO}; % Adds gravity features
-	add_linearAcceleration = {TODO}; % Adds linear acceleration features
-	add_orientation = {TODO}; % Adds azimuth, pich and roll features
-	add_light = {TODO}; % Adds light value
-	add_proximity = {TODO}; % Adds proximity value
-	add_studentID = {TODO}; % Adds student ID
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-	 
-	%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
-	numTrees = {TODO}; % Try different number of trees for the Random Forest classifier
-	sigma = {TODO}; % Try different values of sigma for the Support Vector Machine classifier
-	dist = {TODO}; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
-	K = {TODO}; % Try different values of K for the K-nearest Neighbor classifier
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%%%%%%%%% Choose feature source %%%%%%%%%%%
+add_accelerometer = true; % Adds accelerometer features
+add_gyroscope = true; % Adds gyroscope features
+add_magneticField = true; % Adds magnetic field features
+add_gravity = true; % Adds gravity features
+add_linearAcceleration = true; % Adds linear acceleration features
+add_orientation = true; % Adds azimuth, pich and roll features
+add_light = true; % Adds light value
+add_proximity = true; % Adds proximity value
+add_studentID = true; % Adds student ID
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
+numTrees = 1000; % Try different number of trees for the Random Forest classifier
+sigma = 1; % Try different values of sigma for the Support Vector Machine classifier
+dist = 'kernel'; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
+K = 20; % Try different values of K for the K-nearest Neighbor classifier
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 
 # D3 (VI) (5 points x 7 = 35 points)
 
 ### 1. (5 point)
 
-![screenshot](screenshot.png)
+![screenshot](d3/CP1.png)
 
 ### 2. (5 point)
 
-![screenshot](screenshot.png)
+![screenshot](d3/CP2.png)
 
 ### 3. (5 point)
 
-![screenshot](screenshot.png)
+![screenshot](d3/CP3.png)
 
 ### 4. (5 point)
 
-![screenshot](screenshot.png)
+![screenshot](d3/CP4.png)
 
 ### 5. (5 point)
 
-![screenshot](screenshot.png)
+![screenshot](d3/CP5.png)
 
 ### 6. (5 point)
 
-![screenshot](screenshot.png)
+![screenshot](d3/CP6.png)
 
 ### 7. (5 point)
 
-![screenshot](screenshot.png)
+![screenshot](d3/CP7.png)
diff --git a/d3/CP1.png b/d3/CP1.png
diff --git a/d3/CP2.png b/d3/CP2.png
diff --git a/d3/CP3.png b/d3/CP3.png
diff --git a/d3/CP4.png b/d3/CP4.png
diff --git a/d3/CP5.png b/d3/CP5.png
diff --git a/d3/CP6.png b/d3/CP6.png
diff --git a/d3/CP7.png b/d3/CP7.png
diff --git a/app.js → d3/app.js b/app.js → d3/app.js
@@ -3,7 +3,7 @@ var express = require('express');
 var app = express();
 
 var mongo = require('mongoskin');
-var db = mongo.db("mongodb://{USERNAME}:{PASSWORD}@{SEVERURL}", {native_parser:true});
+var db = mongo.db("mongodb://hacker:[email protected]:47940/yelp", {native_parser:true});
 
 app.engine('.html', require('ejs').__express);
 app.set('views', __dirname);
@@ -14,7 +14,8 @@ app.get('/state/:state', function(req, res) {
     var projection = {};
     db.collection('business')
         .find(query,projection)
-        .limit(20)
+        .sort({"review_count" : -1})
+	.limit(20)
         .toArray(function (err, items) {        
             res.render("business_map", {data: items});        
     });

diff --git a/business_map.html → d3/business_map.html b/business_map.html → d3/business_map.html
@@ -91,19 +91,36 @@
             .enter().append("svg:svg")
             .each(transform)            
             .attr("class", "marker");
+
+	//Scale
+	var scale = d3.scale.linear()
+		.domain([d3.min(dataset, function(d){return d.review_count}), d3.max(dataset, function(d){return d.review_count})])
+		.range([3,15]);
 
         // Add a circle.
         marker.append("svg:circle")
-            .attr("r", 4.5)
+            .attr("r", function(d){return scale(d.review_count);})
             .attr("cx", padding)
             .attr("cy", padding)
+	    .style("fill-opacity", .6)
+	    .style("fill", function(d){
+		if (d.stars >= 4){
+			return "red";
+		}
+		else if(d.stars >= 3){
+			return "brown";
+		}
+		else{
+			return "black";
+		}
+	    });
 
         // Add a label.
-        marker.append("svg:text")
-            .attr("x", padding + 7)
-            .attr("y", padding)
-            .attr("dy", ".31em")
-            .text(function(d) { return d.name; });
+        //marker.append("svg:text")
+        //    .attr("x", padding + 7)
+        //    .attr("y", padding)
+        //    .attr("dy", ".31em")
+        //   .text(function(d) { return d.review_count; });
 
         function transform(d) {
           d = new google.maps.LatLng(d.latitude, d.longitude);

diff --git a/d3/npm-debug.log b/d3/npm-debug.log
@@ -0,0 +1,24 @@
+0 info it worked if it ends with ok
+1 verbose cli [ 'node', '/usr/local/bin/npm', 'install', 'app.js' ]
+2 info using [email protected]
+3 info using [email protected]
+4 error Error: Invalid name: "D3+MongoDB+Yelp+Map"
+4 error     at ensureValidName (/usr/local/lib/node_modules/npm/node_modules/read-package-json/node_modules/normalize-package-data/lib/fixer.js:315:15)
+4 error     at Object.module.exports.fixNameField (/usr/local/lib/node_modules/npm/node_modules/read-package-json/node_modules/normalize-package-data/lib/fixer.js:204:5)
+4 error     at /usr/local/lib/node_modules/npm/node_modules/read-package-json/node_modules/normalize-package-data/lib/normalize.js:30:38
+4 error     at Array.forEach (native)
+4 error     at normalize (/usr/local/lib/node_modules/npm/node_modules/read-package-json/node_modules/normalize-package-data/lib/normalize.js:29:15)
+4 error     at final (/usr/local/lib/node_modules/npm/node_modules/read-package-json/read-json.js:342:33)
+4 error     at then (/usr/local/lib/node_modules/npm/node_modules/read-package-json/read-json.js:126:33)
+4 error     at /usr/local/lib/node_modules/npm/node_modules/read-package-json/read-json.js:316:48
+4 error     at evalmachine.<anonymous>:207:20
+4 error     at OpenReq.Req.done (/usr/local/lib/node_modules/npm/node_modules/graceful-fs/graceful-fs.js:141:5)
+5 error If you need help, you may report this *entire* log,
+5 error including the npm and node versions, at:
+5 error     <http://github.com/npm/npm/issues>
+6 error System Darwin 14.0.0
+7 error command "node" "/usr/local/bin/npm" "install" "app.js"
+8 error cwd /Users/adrianchen/Dropbox/CSCI 4830/challenge-week-11/d3
+9 error node -v v0.10.31
+10 error npm -v 1.4.23
+11 verbose exit [ 1, true ]
diff --git a/matlab/CP1.PNG b/matlab/CP1.PNG
diff --git a/matlab/CP2.PNG b/matlab/CP2.PNG