Done

README.md

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-challenge-week-11
-=================
+# Name
+
+Logan Bates
+
+# How many points have you earned?
+
+95/100
+
+(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?
+
+4
+
+# When did you first start working on this week's learning challenges?
+
+Tuesday
+
+# What is the most difficult part about this week's challenge?
+
+Challenge 4 mongo
+
+# Graph Database I
+
+## Checkpoints (5 points x 3 = 15 points)
+
+### 1. (5 point)
+
+![screenshot](checkpoint1graphs.png)
+
+### 2. (5 point)
+
+![screenshot](checkpoint2graphs.png)
+
+### 3. (5 point)
+
+![screenshot](checkpoint3graphs.png)
+
+# MongoDB IV
+
+## Challenges (5 points x 4 = 20 points)
+
+### 1. (5 point)
+
+Count
+
+![screenshot](challenge1-1mongo.png)
+
+FindOne
+
+![screenshot](challenge1-2mongo.png)
+
+
+Query (db.reviews.find({'stars':5}, {'text':1}))
+Find all text for 5 star reviews
+
+![screenshot](challenge1-3mongo.png)
+
+
+### 2. (5 point)
+
+Count
+
+![screenshot](challenge2-1mongo.png)
+
+FindOne
+
+![screenshot](challenge2-2mongo.png)
+
+Query
+
+### 3. (5 point)
+
+Count
+
+![screenshot](challenge3-1mongo.png)
+
+FindOne
+
+![screenshot](challenge3-2mongo.png)
+
+
+Query
+
+![screenshot](challenge3-3mongo.png)
+
+
+### 4. (5 point)
+
+Count
+
+![screenshot](screenshot.png)
+
+FindOne
+
+![screenshot](screenshot.png)
+
+Query 1
+
+![screenshot](screenshot.png)
+
+Query 2
+
+![screenshot](screenshot.png)
+
+
+# Machine Learning III
+
+## Checkpoints (5 points x 2 = 10 points)
+
+### 1. (5 point)
+
+![screenshot](checkpoint1machine.png)
+
+### 2. (5 point)
+
+![screenshot](checkpoint2machine.png)
+
+## Challenges (5 points x 4 = 20 points)
+
+### 1. (5 point)
+
+Accuracy = 74.7348
+
+Features/Parameters
+
+	%%%%%%%%% Choose feature source %%%%%%%%%%%
+	add_accelerometer = false; % Adds accelerometer features
+	add_gyroscope = false; % Adds gyroscope features
+	add_magneticField = true; % Adds magnetic field features
+	add_gravity = false; % Adds gravity features
+	add_linearAcceleration = false; % Adds linear acceleration features
+	add_orientation = true; % Adds azimuth, pich and roll features
+	add_light = false; % Adds light value
+	add_proximity = false; % Adds proximity value
+	add_studentID = false; % Adds student ID
+	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+	%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
+	numTrees = 1; % Try different number of trees for the Random Forest classifier
+	sigma = 1; % Try different values of sigma for the Support Vector Machine class$
+	dist = 'normal'; % Try different distributions = {'normal', 'kernel', 'mvmn' , $
+	K = 10; % Try different values of K for the K-nearest Neighbor classifier
+	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+### 2. (5 point)
+
+Accuracy = 67.1167
+
+Features/Parameters
+
+	%%%%%%%%% Choose feature source %%%%%%%%%%%
+	add_accelerometer = false; % Adds accelerometer features
+	add_gyroscope = false; % Adds gyroscope features
+	add_magneticField = true; % Adds magnetic field features
+	add_gravity = false; % Adds gravity features
+	add_linearAcceleration = false; % Adds linear acceleration features
+	add_orientation = true; % Adds azimuth, pich and roll features
+	add_light = false; % Adds light value
+	add_proximity = false; % Adds proximity value
+	add_studentID = false; % Adds student ID
+	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+	%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
+	numTrees = 1; % Try different number of trees for the Random Forest classifier
+	sigma = 1; % Try different values of sigma for the Support Vector Machine class$
+	dist = 'normal'; % Try different distributions = {'normal', 'kernel', 'mvmn' , $
+	K = 10; % Try different values of K for the K-nearest Neighbor classifier
+	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+### 3. (5 point)
+
+Accuracy = 71.3597
+
+Features/Parameters
+
+	%%%%%%%%% Choose feature source %%%%%%%%%%%
+	add_accelerometer = false; % Adds accelerometer features
+	add_gyroscope = false; % Adds gyroscope features
+	add_magneticField = true; % Adds magnetic field features
+	add_gravity = false; % Adds gravity features
+	add_linearAcceleration = false; % Adds linear acceleration features
+	add_orientation = true; % Adds azimuth, pich and roll features
+	add_light = false; % Adds light value
+	add_proximity = false; % Adds proximity value
+	add_studentID = false; % Adds student ID
+	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+	%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
+	numTrees = 1; % Try different number of trees for the Random Forest classifier
+	sigma = 1; % Try different values of sigma for the Support Vector Machine class$
+	dist = 'normal'; % Try different distributions = {'normal', 'kernel', 'mvmn' , $
+	K = 10; % Try different values of K for the K-nearest Neighbor classifier
+	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+### 4. (5 point)
+
+Accuracy = 75.8920
+
+Features/Parameters
+
+	%%%%%%%%% Choose feature source %%%%%%%%%%%
+	add_accelerometer = false; % Adds accelerometer features
+	add_gyroscope = false; % Adds gyroscope features
+	add_magneticField = true; % Adds magnetic field features
+	add_gravity = false; % Adds gravity features
+	add_linearAcceleration = false; % Adds linear acceleration features
+	add_orientation = true; % Adds azimuth, pich and roll features
+	add_light = false; % Adds light value
+	add_proximity = false; % Adds proximity value
+	add_studentID = false; % Adds student ID
+	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+	%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
+	numTrees = 10; % Try different number of trees for the Random Forest classifier
+	sigma = 1; % Try different values of sigma for the Support Vector Machine class$
+	dist = 'normal'; % Try different distributions = {'normal', 'kernel', 'mvmn' , $
+	K = 10; % Try different values of K for the K-nearest Neighbor classifier
+	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+
+# D3 (VI) (5 points x 7 = 35 points)
+
+### 1. (5 point)
+
+![screenshot](checkpoint1d3.png)
+
+### 2. (5 point)
+
+![screenshot](checkpoint2d3.png)
+
+### 3. (5 point)
+
+![screenshot](checkpoint3d3.png)
+
+### 4. (5 point)
+
+![screenshot](checkpoint4d3.png)
+
+### 5. (5 point)
+
+![screenshot](checkpoint5d3.png)
+
+### 6. (5 point)
+
+![screenshot](checkpoint6d3.png)
+
+### 7. (5 point)
+
+![screenshot](checkpoint7d3.png)

app.js

@@ -0,0 +1,25 @@
+// Run 'npm install' to install node dependencies
+var express = require('express');
+var app = express();
+
+var mongo = require('mongoskin');
+var db = mongo.db("mongodb://localhost/yelp/:3000", {native_parser:true});
+
+app.engine('.html', require('ejs').__express);
+app.set('views', __dirname);
+app.set('view engine', 'html');
+
+app.get('/state/:state', function(req, res) {
+    var query = {"state" : req.params.state};
+    var projection = {};
+    db.collection('business')
+        .find(query,projection)
+        .limit(100)
+        .sort({'review_count':-1})
+        .toArray(function (err, items) {        
+            res.render("business_map", {data: items});        
+    });
+});
+
+app.listen(3000);
+console.log('listening on port 3000');