diff --git a/graph.js b/graph.js
new file mode 100644
index 0000000..1b56796
--- /dev/null
+++ b/graph.js
@@ -0,0 +1,197 @@
+
+
+//Create delay function
+const delay = ms => new Promise(res => setTimeout(res, ms));
+
+//Tennis court coordinates
+//Y: [-5.02m, 5.02m] X: [-11.88m, 11.88m] no Z height
+var x = [-11.88, 11.88, 11.88, -11.88]
+var y = [-5.02, -5.02, 5.02, 5.02]
+//Shift the court slightly up so its not interfering with the grid
+var z = [0.01, 0.01, 0.01, 0.01]
+
+//Face is made up of 2 triangles, both need to be set to the same colour
+var facecolor = [ 'rgb(30, 175, 0)', 'rgb(30, 175, 0)', ]
+
+var court = { name:"Court", x, y, z, facecolor, type: 'mesh3d', }
+
+var x_val =new Array();
+var y_val =new Array();
+var z_val =new Array();
+
+var trajectory = {
+  name: "Trajectory",
+  type: 'scatter3d',
+  mode: 'lines+markers',
+  x: x_val,
+  y: y_val,
+  z: z_val,
+  line: {
+    width: 4,
+    color: '#ff0000',
+  },
+  marker: {
+    color: '#0000ff',
+    size: 2,
+    symbol: 'circle',
+  },
+};
+
+var layout = {
+  title: 'Tennis Ball Trajectory Plot',
+  autosize: true,
+  margin: { autoexpand: true, },
+  scene:{
+    xaxis:{ range:[-18,18], gridcolor: "#a0a0a0", zerolinecolor: "#a0a0a0", },
+    yaxis:{ range:[-10,10], gridcolor: "#a0a0a0", zerolinecolor: "#a0a0a0", },
+    zaxis:{ range:[  0, 2], gridcolor: "#a0a0a0", zerolinecolor: "#a0a0a0", },
+  }
+};
+
+//COEFF = document.getElementById("cor_plot");
+
+var pointCount = 1600;
+var coeff_restitution = 0;
+var velocity_vector_pre = 1;
+var velocity_vector_post = 1;
+
+
+var bounce_sample = new Array();
+var center_bounce = 0;
+var sample = new Array();
+
+
+// variables for failed PolynomialRegression attempt
+//const vector_length = 1; // Determines how many points back to use to calculate average z-velocity
+//const degree = 3;
+//var sample_division = new Array();
+
+
+// Failed implementation for PolynomialRegression library
+// Implementation using regression to create a function that models all points of bounce
+// Third order polynomial has 3 zeros and is the minimum number necessary
+//const regression = new PolynomialRegression(sample, z_val, degree)
+
+// for(let point = 0; point < pointCount * 10; point++)
+// {
+//     //sample_division[point] = regression.predict(point / 10)
+//     if(sample_division[point] > 0.005 && sample_division[point] < 0.015)
+//       // gathers all sub-points within the regression that fall at a "bounce height"
+//       // but this could result in more than one point being recorded. needs to have one centered
+//       // point. gather into array and then take the middle value?
+//     {
+//         bounce_sample.push(point);
+//     }
+// }
+
+//  center_bounce = Math.floor((bounce_sample.length - 1) / 2); // find center of sample
+  //make sure that this can be indexed within the regression. Is this 10x the actual array size?
+//  velocity_vector_pre =  regression.predict(bounce_sample[center_bounce - 1]);
+//  velocity_vector_post = regression.predict(bounce_sample[center_bounce + 1]);
+//  coeff_restitution = Math.abs(velocity_vector_post) / Math.abs(velocity_vector_pre);
+
+
+var cor_trace1 = {
+  name: "2D Tennis Ball Bounce",
+  type: 'scatter',
+  mode: 'lines+markers',
+  x:sample,
+  y:z_val,
+};
+
+var data = [cor_trace1,];
+var cor_layout = {
+  title: '2D Tennis Ball Bounce Graph',
+  autosize: true,
+  margin: { autoexpand: true, },
+  scene:{
+    xaxis:{ range:[0,1800], gridcolor: "#a0a0a0", zerolinecolor: "#a0a0a0", },
+    yaxis:{ range:[-10,10], gridcolor: "#a0a0a0", zerolinecolor: "#a0a0a0", },
+  }
+};
+
+
+//Init plot
+Plotly.newPlot("secondplot", [trajectory,court] , layout, {responsive: true} );
+Plotly.newPlot('cor_plot', data, cor_layout, {responsive: true} );
+
+//Update plot with info from GET call
+function poll(filename) {
+  var jqueryRequest = $.get("http://129.21.94.11:8000/serve/" + filename)
+    .done(function(data) {
+    Papa.parse(data, {
+      dynamicTyping: true,
+      delimiter: " ",
+      //Only include if the input contains a header row; i.e. the first row is labels.
+      //header: true,
+      worker: true,
+      complete: function(results){
+        results.data.forEach((element) => {
+          x_val.push(element[2]);
+          y_val.push(element[0]);
+          //Compensate for court offset
+          z_val.push(element[1]+0.01);
+        });
+
+        console.log(x_val.length)
+        pointCount = x_val.length;
+        for (let point = 0; point < pointCount; point++)
+          {
+            sample.push(point); // Create a series for just sample count
+          }
+          console.log(sample)
+        Plotly.update("secondplot", [trajectory,court], layout, {responsive: true});
+        Plotly.update('cor_plot', data, cor_layout, {responsive: true});
+
+        console.log(pointCount)
+      },
+    });
+  }).fail(function(errorData){
+    console.error("Backend Request failed! Is the backend running?");
+  });
+}
+
+//Get the button from the HTML file
+var button = document.getElementById("sendPost");
+
+//Get the input field from the HTML file
+var input_field = document.getElementById("csvSelector");
+
+//If the user presses "enter" on the input field, call to press the button, as this is expected behaviour
+input_field.addEventListener("keypress",function(event){
+  if (event.key === "Enter"){
+    event.preventDefault();
+    button.click();
+  }
+});
+
+//On button click...
+button.addEventListener("click",function(e){
+  //Get the file name from the text input
+  var file_name = input_field.value;
+  //Send the text input to the web server
+  $.post("http://129.21.94.11:8000/serve", { file_name })
+    //Once the POST response comes back
+    .done(function(){
+      //Wait 2s for image processing to run
+      delay(2000);
+      //Clear current  values to graph the new file
+      x_val.length = 0;
+      y_val.length = 0;
+      z_val.length = 0;
+      sample.length = 0;
+      //Run a GET call, with the given file name
+      poll(file_name);
+      //FitCurve(sample, z_val);
+    });
+},false);
+
+
+//Failed test implementation for polyfit library
+
+//function FitCurve(x, y)
+//{
+//  var poly = Polyfit(x, y);
+//  solver = poly.getPolynomial(degree);
+//  console.log(solver(1.17));
+//}
diff --git a/public/javascripts/graph.js b/public/javascripts/graph.js
index d7a18aa..1b56796 100644
--- a/public/javascripts/graph.js
+++ b/public/javascripts/graph.js
@@ -1,3 +1,5 @@
+
+
 //Create delay function
 const delay = ms => new Promise(res => setTimeout(res, ms));
 
@@ -13,7 +15,7 @@ var facecolor = [ 'rgb(30, 175, 0)', 'rgb(30, 175, 0)', ]
 
 var court = { name:"Court", x, y, z, facecolor, type: 'mesh3d', }
 
-var x_val =new Array(); 
+var x_val =new Array();
 var y_val =new Array();
 var z_val =new Array();
 
@@ -46,12 +48,76 @@ var layout = {
   }
 };
 
+//COEFF = document.getElementById("cor_plot");
+
+var pointCount = 1600;
+var coeff_restitution = 0;
+var velocity_vector_pre = 1;
+var velocity_vector_post = 1;
+
+
+var bounce_sample = new Array();
+var center_bounce = 0;
+var sample = new Array();
+
+
+// variables for failed PolynomialRegression attempt
+//const vector_length = 1; // Determines how many points back to use to calculate average z-velocity
+//const degree = 3;
+//var sample_division = new Array();
+
+
+// Failed implementation for PolynomialRegression library
+// Implementation using regression to create a function that models all points of bounce
+// Third order polynomial has 3 zeros and is the minimum number necessary
+//const regression = new PolynomialRegression(sample, z_val, degree)
+
+// for(let point = 0; point < pointCount * 10; point++)
+// {
+//     //sample_division[point] = regression.predict(point / 10)
+//     if(sample_division[point] > 0.005 && sample_division[point] < 0.015)
+//       // gathers all sub-points within the regression that fall at a "bounce height"
+//       // but this could result in more than one point being recorded. needs to have one centered
+//       // point. gather into array and then take the middle value?
+//     {
+//         bounce_sample.push(point);
+//     }
+// }
+
+//  center_bounce = Math.floor((bounce_sample.length - 1) / 2); // find center of sample
+  //make sure that this can be indexed within the regression. Is this 10x the actual array size?
+//  velocity_vector_pre =  regression.predict(bounce_sample[center_bounce - 1]);
+//  velocity_vector_post = regression.predict(bounce_sample[center_bounce + 1]);
+//  coeff_restitution = Math.abs(velocity_vector_post) / Math.abs(velocity_vector_pre);
+
+
+var cor_trace1 = {
+  name: "2D Tennis Ball Bounce",
+  type: 'scatter',
+  mode: 'lines+markers',
+  x:sample,
+  y:z_val,
+};
+
+var data = [cor_trace1,];
+var cor_layout = {
+  title: '2D Tennis Ball Bounce Graph',
+  autosize: true,
+  margin: { autoexpand: true, },
+  scene:{
+    xaxis:{ range:[0,1800], gridcolor: "#a0a0a0", zerolinecolor: "#a0a0a0", },
+    yaxis:{ range:[-10,10], gridcolor: "#a0a0a0", zerolinecolor: "#a0a0a0", },
+  }
+};
+
+
 //Init plot
 Plotly.newPlot("secondplot", [trajectory,court] , layout, {responsive: true} );
+Plotly.newPlot('cor_plot', data, cor_layout, {responsive: true} );
 
 //Update plot with info from GET call
 function poll(filename) {
-  var jqueryRequest = $.get("http://192.168.0.90:8000/serve/" + filename)
+  var jqueryRequest = $.get("http://129.21.94.11:8000/serve/" + filename)
     .done(function(data) {
     Papa.parse(data, {
       dynamicTyping: true,
@@ -66,7 +132,18 @@ function poll(filename) {
           //Compensate for court offset
           z_val.push(element[1]+0.01);
         });
+
+        console.log(x_val.length)
+        pointCount = x_val.length;
+        for (let point = 0; point < pointCount; point++)
+          {
+            sample.push(point); // Create a series for just sample count
+          }
+          console.log(sample)
         Plotly.update("secondplot", [trajectory,court], layout, {responsive: true});
+        Plotly.update('cor_plot', data, cor_layout, {responsive: true});
+
+        console.log(pointCount)
       },
     });
   }).fail(function(errorData){
@@ -93,7 +170,7 @@ button.addEventListener("click",function(e){
   //Get the file name from the text input
   var file_name = input_field.value;
   //Send the text input to the web server
-  $.post("http://192.168.0.90:8000/serve", { file_name })
+  $.post("http://129.21.94.11:8000/serve", { file_name })
     //Once the POST response comes back
     .done(function(){
       //Wait 2s for image processing to run
@@ -102,7 +179,19 @@ button.addEventListener("click",function(e){
       x_val.length = 0;
       y_val.length = 0;
       z_val.length = 0;
+      sample.length = 0;
       //Run a GET call, with the given file name
       poll(file_name);
+      //FitCurve(sample, z_val);
     });
 },false);
+
+
+//Failed test implementation for polyfit library
+
+//function FitCurve(x, y)
+//{
+//  var poly = Polyfit(x, y);
+//  solver = poly.getPolynomial(degree);
+//  console.log(solver(1.17));
+//}