diff --git a/graph.js b/graph.js
deleted file mode 100644
index 1b56796..0000000
--- a/graph.js
+++ /dev/null
@@ -1,197 +0,0 @@
-
-
-//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 1b56796..d7a18aa 100644
--- a/public/javascripts/graph.js
+++ b/public/javascripts/graph.js
@@ -1,5 +1,3 @@
-
-
 //Create delay function
 const delay = ms => new Promise(res => setTimeout(res, ms));
 
@@ -15,7 +13,7 @@ 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();
 
@@ -48,76 +46,12 @@ 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://129.21.94.11:8000/serve/" + filename)
+  var jqueryRequest = $.get("http://192.168.0.90:8000/serve/" + filename)
     .done(function(data) {
     Papa.parse(data, {
       dynamicTyping: true,
@@ -132,18 +66,7 @@ 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){
@@ -170,7 +93,7 @@ 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://129.21.94.11:8000/serve", { file_name })
+  $.post("http://192.168.0.90:8000/serve", { file_name })
     //Once the POST response comes back
     .done(function(){
       //Wait 2s for image processing to run
@@ -179,19 +102,7 @@ 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));
-//}