anchor.diff:    <h2>📊 Current Stats ⏱️</h2>
   </div>
   <div class="row">
  +  <div id="chart_div"></div>
  +  <script>
  +    google.charts.load('current', {packages: ['corechart', 'bar']});
  +    google.charts.setOnLoadCallback(drawBasic);
  +
  +    function drawBasic() {
  +
  +          var data = new google.visualization.DataTable();
  +          data.addColumn('timeofday', 'Time of Day');
  +          data.addColumn('number', 'Motivation Level');
  +
  +          data.addRows([
  +            [{v: [8, 0, 0], f: '8 am'}, 1],
  +            [{v: [9, 0, 0], f: '9 am'}, 2],
  +            [{v: [10, 0, 0], f:'10 am'}, 3],
  +            [{v: [11, 0, 0], f: '11 am'}, 4],
  +            [{v: [12, 0, 0], f: '12 pm'}, 5],
  +            [{v: [13, 0, 0], f: '1 pm'}, 6],
  +            [{v: [14, 0, 0], f: '2 pm'}, 7],
  +            [{v: [15, 0, 0], f: '3 pm'}, 8],
  +            [{v: [16, 0, 0], f: '4 pm'}, 9],
  +            [{v: [17, 0, 0], f: '5 pm'}, 10],
  +          ]);
  +
  +          var options = {
  +            title: 'Motivation Level Throughout the Day',
  +            hAxis: {
  +              title: 'Time of Day',
  +              format: 'h:mm a',
  +              viewWindow: {
  +                min: [7, 30, 0],
  +                max: [17, 30, 0]
  +              }
  +            },
  +            vAxis: {
  +              title: 'Rating (scale of 1-10)'
  +            }
  +          };
  +
  +          var chart = new google.visualization.ColumnChart(
  +            document.getElementById('chart_div'));
  +
  +          chart.draw(data, options);
  +        }
  +  </script>
  +</div>
  +
  +
  +<div class="row">
     <div class="col">
  -    <%= @stats.observation_period_count %> Total scans, <%= @stats.stop_sign_log_count %> total suspected cases
  +    <%= @stats.observation_period_count.delimited %> Total scans, <%= @stats.stop_sign_log_count.delimited %> total suspected cases
     </div>
     <div class="col">
       <%= (@stats.seconds_observed/60/60).to_i.delimited %>+ Hours collected, spanning <%= (@stats.total_study_time/60/60/24).to_i.delimited %> days
  
positive.code: </div>
  <div class="row">
    <div class="col">
      ≈<%= MachineLearner.first(vote_method: "presence").estimated_count %> total cars seen, ≈<%= MachineLearner.first(vote_method: "full_scene").estimated_count %> seen long enough to measure. An estimated ≈<%= ((@stats.total_study_time/@stats.seconds_observed)*MachineLearner.first(vote_method: "presence").estimated_count).to_i.delimited %> cars have passed the sign, with an average of ≈<%= (((@stats.total_study_time/@stats.seconds_observed)*MachineLearner.first(vote_method: "presence").estimated_count) / (@stats.total_study_time/60/60/24)).to_i.delimited %> per day.
    </div>
  </div>
  <div class="row">
  
negative.code: <script type="text/javascript" src="https://www.gstatic.com/charts/loader.js"></script>
  <div class="jumbotron jumbotron_img_responsive" id="header">
    <h1 class="display-3">Stop Sign Detector</h1>
  </div>
  