18:40:10  timestamp 
2025-04-03. . No of hourly records used : 334<br></table><script>
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11:30:19"],["1","0","21.76","2.43","3.23","1","2025-04-01 12:00:24"],["1","0","20.56","2.06","2.83","1","2025-04-01 12:30:20"],["1","0","20.56","2.06","2.83","1","2025-04-01 13:00:25"],["1","0","19.02","1.78","2.5","1","2025-04-01 13:30:19"],["1","0","19.02","1.78","2.5","1","2025-04-01 14:00:25"],["1","0","17.48","1.48","2.15","1","2025-04-01 14:30:19"],["1","0","17.48","1.48","2.15","1","2025-04-01 15:00:26"],["1","0","14.91","1.16","1.76","1","2025-04-01 15:30:19"],["2","0","14.91","1.16","1.76","2","2025-04-01 16:00:21"],["2","0","12.17","0.97","1.5","2","2025-04-01 16:30:18"],["2","0","12.17","0.97","1.5","2","2025-04-01 17:00:25"],["2","0","10.88","0.97","1.49","2","2025-04-01 17:30:17"],["2","0","10.88","0.97","1.49","2","2025-04-01 18:00:22"],["2","0","10.63","1.04","1.62","2","2025-04-01 18:30:18"],["2","0","10.63","1.04","1.62","2","2025-04-01 19:00:25"],["2","0","10.37","1.07","1.68","2","2025-04-01 19:30:18"],["2","0","10.37","1.07","1.68","2","2025-04-01 20:00:26"],["2","0","10.03","1.08","1.75","2","2025-04-01 20:30:19"],["2","0","10.03","1.08","1.75","2","2025-04-01 21:00:26"],["2","0","9.94","1.06","1.78","2","2025-04-01 21:30:16"],["2","0","9.94","1.06","1.78","2","2025-04-01 22:00:21"],["2","0","10.63","1.05","1.84","2","2025-04-01 22:30:16"],["2","0","10.63","1.05","1.84","2","2025-04-01 23:00:24"],["2","0.04","13.54","1.03","1.94","2","2025-04-01 23:30:15"],["2","0.04","13.54","1.03","1.94","2","2025-04-02 00:00:24"],["2","0.29","17.14","1.04","2.03","2","2025-04-02 00:30:18"],["2","0.29","17.14","1.04","2.03","2","2025-04-02 01:00:23"],["2","0.76","19.19","1.17","2.22","2","2025-04-02 01:30:18"],["2","0.76","19.19","1.17","2.22","2","2025-04-02 02:00:25"],["2","1.22","18.85","1.3","2.42","2","2025-04-02 02:30:17"],["2","1.22","18.85","1.3","2.42","2","2025-04-02 03:00:24"],["2","1.36","17.14","1.29","2.44","2","2025-04-02 03:30:16"],["2","1.36","17.14","1.29","2.44","2","2025-04-02 04:00:23"],["2","1.23","15.08","1.06","2.17","2","2025-04-02 04:30:19"],["2","1.23","15.08","1.06","2.17","2","2025-04-02 05:00:25"],["2","1.08","13.2","0.89","1.9","2","2025-04-02 05:30:17"],["2","1.08","13.2","0.89","1.9","2","2025-04-02 06:00:23"],["2","0.99","12.85","0.9","1.86","2","2025-04-02 06:30:17"],["2","0.99","12.85","0.9","1.86","2","2025-04-02 07:00:23"],["2","0.91","12.51","0.94","1.89","2","2025-04-02 07:30:18"],["2","0.91","12.51","0.94","1.89","2","2025-04-02 08:00:23"],["2","0.62","12.68","0.93","1.83","2","2025-04-02 08:30:19"],["2","0.62","12.68","0.93","1.83","2","2025-04-02 09:00:25"],["2","0.26","14.22","0.87","1.76","2","2025-04-02 09:30:18"],["2","0.26","14.22","0.87","1.76","2","2025-04-02 10:00:26"],["2","0.03","15.25","0.76","1.64","2","2025-04-02 10:30:20"],["2","0.03","15.25","0.76","1.64","2","2025-04-02 11:00:24"],["2","0","16.79","0.68","1.61","2","2025-04-02 11:30:19"],["2","0","16.79","0.68","1.61","2","2025-04-02 12:00:24"],["2","0","19.88","0.71","1.82","2","2025-04-02 12:30:20"],["2","0","19.88","0.71","1.82","2","2025-04-02 13:00:25"],["2","0","22.28","0.78","2.08","2","2025-04-02 13:30:19"],["2","0","22.28","0.78","2.08","2","2025-04-02 14:00:28"],["2","0","25.71","0.9","2.44","2","2025-04-02 14:30:19"],["2","0","25.71","0.9","2.44","2","2025-04-02 15:00:25"],["2","0","28.1","1.16","3.02","2","2025-04-02 15:30:21"],["3","0","28.1","1.16","3.02","3","2025-04-02 16:00:27"],["3","0","27.08","1.65","3.74","3","2025-04-02 16:30:20"],["3","0","27.08","1.65","3.74","3","2025-04-02 17:00:25"],["3","0","29.82","2.27","4.71","3","2025-04-02 17:30:19"],["3","0","29.82","2.27","4.71","3","2025-04-02 18:00:25"],["3","0","32.9","3.07","5.91","3","2025-04-02 18:30:19"],["3","0","32.9","3.07","5.91","3","2025-04-02 19:00:25"],["3","0","33.24","3.58","6.71","3","2025-04-02 19:30:19"],["3","0","33.24","3.58","6.71","3","2025-04-02 20:00:26"],["3","0","34.96","3.88","7.14","3","2025-04-02 20:30:21"],["3","0","34.96","3.88","7.14","3","2025-04-02 21:00:24"],["3","0.01","40.44","4","7.43","3","2025-04-02 21:30:19"],["3","0.01","40.44","4","7.43","3","2025-04-02 22:00:20"],["3","0.24","52.09","4.63","8.44","3","2025-04-02 22:30:20"],["3","0.24","52.09","4.63","8.44","3","2025-04-02 23:00:26"],["3","11.96","58.26","5.52","10.04","3","2025-04-02 23:30:18"],["3","11.96","58.26","5.52","10.04","3","2025-04-03 00:00:24"],["3","35.76","56.21","6.68","12.24","3","2025-04-03 00:30:18"],["3","35.76","56.21","6.68","12.24","3","2025-04-03 01:00:26"],["3","57.22","59.63","9.32","16.28","3","2025-04-03 01:30:18"],["3","57.22","59.63","9.32","16.28","3","2025-04-03 02:00:26"],["3","32.19","63.06","13.82","20.78","3","2025-04-03 02:30:18"],["3","32.19","63.06","13.82","20.78","3","2025-04-03 03:00:23"],["3","29.5","74.71","16.69","23","3","2025-04-03 03:30:18"],["3","29.5","74.71","16.69","23","3","2025-04-03 04:00:23"],["3","36.66","98.71","18.16","24.56","3","2025-04-03 04:30:16"],["3","36.66","98.71","18.16","24.56","3","2025-04-03 05:00:23"],["3","38.45","115.16","16.59","22.55","3","2025-04-03 05:30:17"],["3","38.45","115.16","16.59","22.55","3","2025-04-03 06:00:21"],["3","34.87","119.27","15.32","20.81","3","2025-04-03 06:30:17"],["3","34.87","119.27","15.32","20.81","3","2025-04-03 07:00:22"],["3","23.02","113.79","14.15","19.2","3","2025-04-03 07:30:17"],["3","23.02","113.79","14.15","19.2","3","2025-04-03 08:00:24"],["3","12.74","106.93","13.24","17.57","3","2025-04-03 08:30:19"],["3","12.74","106.93","13.24","17.57","3","2025-04-03 09:00:24"],["3","13.41","115.16","14.21","18.43","3","2025-04-03 09:30:16"],["3","13.41","115.16","14.21","18.43","3","2025-04-03 10:00:24"],["3","21.01","127.49","16.18","21.02","3","2025-04-03 10:30:19"],["3","21.01","127.49","16.18","21.02","3","2025-04-03 11:00:23"],["3","28.16","137.09","16.96","21.98","3","2025-04-03 11:30:19"],["3","28.16","137.09","16.96","21.98","3","2025-04-03 12:00:23"],["3","21.91","130.24","15.69","19.84","3","2025-04-03 12:30:17"]]
</script><table cellspacing="5" cellpadding="5">
      <tr> 

        <td>Time</td> 
        <td>aqi</td> 

        <td>co</td> 
        <td>no</td> 
        <td>no2</td> 
        <td>o3</td> 

        <td>so2</td> 
        <td>pm2_5</td> 
        <td>pm10</td> 
        <td>nh3</td> 



      </tr><tr> 

                <td>2025-04-03 20:30:17</td> 
                <td>3</td> 


                <td>440.6</td> 
                <td>21.91</td> 
                <td>130.24</td> 
                <td>0.03</td> 

                <td>44.35</td> 
                <td>15.69</td> 
                <td>19.84</td> 
                <td>1.22</td> 



              </tr><tr> 

                <td>2025-04-03 19:30:19</td> 
                <td>3</td> 


                <td>473.98</td> 
                <td>28.16</td> 
                <td>137.09</td> 
                <td>0</td> 

                <td>53.88</td> 
                <td>16.96</td> 
                <td>21.98</td> 
                <td>1.57</td> 



              </tr><tr> 

                <td>2025-04-03 18:30:19</td> 
                <td>3</td> 


                <td>453.95</td> 
                <td>21.01</td> 
                <td>127.49</td> 
                <td>1</td> 

                <td>55.31</td> 
                <td>16.18</td> 
                <td>21.02</td> 
                <td>1.71</td> 



              </tr><tr> 

                <td>2025-04-03 17:30:16</td> 
                <td>3</td> 


                <td>413.9</td> 
                <td>13.41</td> 
                <td>115.16</td> 
                <td>8.76</td> 

                <td>53.41</td> 
                <td>14.21</td> 
                <td>18.43</td> 
                <td>1.76</td> 



              </tr><tr> 

                <td>2025-04-03 16:30:19</td> 
                <td>3</td> 


                <td>387.19</td> 
                <td>12.74</td> 
                <td>106.93</td> 
                <td>16.09</td> 

                <td>52.93</td> 
                <td>13.24</td> 
                <td>17.57</td> 
                <td>1.69</td> 



              </tr><tr> 

                <td>2025-04-03 15:30:17</td> 
                <td>3</td> 


                <td>387.19</td> 
                <td>23.02</td> 
                <td>113.79</td> 
                <td>14.84</td> 

                <td>57.7</td> 
                <td>14.15</td> 
                <td>19.2</td> 
                <td>1.76</td> 



              </tr><tr> 

                <td>2025-04-03 14:30:17</td> 
                <td>3</td> 


                <td>383.85</td> 
                <td>34.87</td> 
                <td>119.27</td> 
                <td>14.13</td> 

                <td>64.85</td> 
                <td>15.32</td> 
                <td>20.81</td> 
                <td>1.79</td> 



              </tr><tr> 

                <td>2025-04-03 13:30:17</td> 
                <td>3</td> 


                <td>377.18</td> 
                <td>38.45</td> 
                <td>115.16</td> 
                <td>15.74</td> 

                <td>67.71</td> 
                <td>16.59</td> 
                <td>22.55</td> 
                <td>1.6</td> 



              </tr><tr> 

                <td>2025-04-03 12:30:16</td> 
                <td>3</td> 


                <td>380.52</td> 
                <td>36.66</td> 
                <td>98.71</td> 
                <td>27.18</td> 

                <td>63.9</td> 
                <td>18.16</td> 
                <td>24.56</td> 
                <td>1.38</td> 



              </tr><tr> 

                <td>2025-04-03 11:30:18</td> 
                <td>3</td> 


                <td>367.17</td> 
                <td>29.5</td> 
                <td>74.71</td> 
                <td>45.06</td> 

                <td>51.98</td> 
                <td>16.69</td> 
                <td>23</td> 
                <td>1.2</td> 



              </tr><tr> 

                <td>2025-04-03 10:30:18</td> 
                <td>2</td> 


                <td>377.18</td> 
                <td>32.19</td> 
                <td>63.06</td> 
                <td>47.21</td> 

                <td>45.78</td> 
                <td>13.82</td> 
                <td>20.78</td> 
                <td>1.39</td> 



              </tr><tr> 

                <td>2025-04-03 09:30:18</td> 
                <td>2</td> 


                <td>453.95</td> 
                <td>57.22</td> 
                <td>59.63</td> 
                <td>24.32</td> 

                <td>37.19</td> 
                <td>9.32</td> 
                <td>16.28</td> 
                <td>1.58</td> 



              </tr><tr> 

                <td>2025-04-03 08:30:18</td> 
                <td>2</td> 


                <td>390.53</td> 
                <td>35.76</td> 
                <td>56.21</td> 
                <td>23.25</td> 

                <td>28.13</td> 
                <td>6.68</td> 
                <td>12.24</td> 
                <td>1.17</td> 



              </tr><tr> 

                <td>2025-04-03 07:30:18</td> 
                <td>2</td> 


                <td>333.79</td> 
                <td>11.96</td> 
                <td>58.26</td> 
                <td>20.74</td> 

                <td>19.31</td> 
                <td>5.52</td> 
                <td>10.04</td> 
                <td>0.78</td> 



              </tr><tr> 

                <td>2025-04-03 06:30:20</td> 
                <td>2</td> 


                <td>297.07</td> 
                <td>0.24</td> 
                <td>52.09</td> 
                <td>30.04</td> 

                <td>12.52</td> 
                <td>4.63</td> 
                <td>8.44</td> 
                <td>0.67</td> 



              </tr><tr> 

                <td>2025-04-03 05:30:19</td> 
                <td>2</td> 


                <td>287.06</td> 
                <td>0.01</td> 
                <td>40.44</td> 
                <td>44.35</td> 

                <td>11.33</td> 
                <td>4</td> 
                <td>7.43</td> 
                <td>0.78</td> 



              </tr>
<html>
  <head>
  <title>micro grid : Open Weather curve chart from MySQL table</title>
   
          <!--Load the AJAX API-->
        <script type="text/javascript" src="https://www.google.com/jsapi"></script>
        <script type="text/javascript">
 
           // Load the Visualization API and the piechart package. Neuere Scripts wohl
          google.load('visualization', '1.0', {'packages':['corechart']});

          // Set a callback to run when the Google Visualization API is loaded.
          google.setOnLoadCallback(drawChart);
	
//nur eine drawChart funktion
      function drawChart() {

        // Create the data table.   TEMPERATUR, das geht alles
        var data = new google.visualization.DataTable();
        data.addColumn('string', 'Uhrzeit_Vortag');
        data.addColumn('number', 'Temp');
	   	data.addColumn('number', 'feels like ');
	   	data.addColumn('number', 'dummy ');
	   	data.addColumn('number', 'dummy ');
        for(i = 0; i < my_2d_temp.length; i++)
    data.addRow([my_2d_temp[i][0], parseFloat(my_2d_temp[i][1]),parseFloat(my_2d_temp[i][(2)]),parseFloat(my_2d_temp[i][3]),parseFloat(my_2d_temp[i][4])]);
		
		
				
          // Create the data table.    my pizza
            var data1 = new google.visualization.DataTable();
            data1.addColumn('string', 'Topping');    
            data1.addColumn('number', 'Slices');
            data1.addRows([
              ['Mushrooms', 3],
              ['Onions', 1],
              ['Olives', 1],
              ['Zucchini', 1],
              ['Pepperoni', 2]
            ]);
			
			
            // Create the data table.
            var data2 = new google.visualization.DataTable();
            data2.addColumn('string', 'Topping');
            data2.addColumn('number', 'Slices');
            data2.addRows([
              ['Mushrooms', 3],
              ['Onions', 1],
              ['Olives', 15],
              ['Zucchini', 1],
              ['Pepperoni', 2]
            ]);


// beispiel chart FIX
            var data3 = new google.visualization.DataTable();
            data3.addColumn('string', 'Year');
            data3.addColumn('number', 'Sales');
            data3.addColumn('number', 'Expenses');
            data3.addRows([
              ['2004', 1000, 400],
              ['2005', 1170, 460],
              ['2006',  860, 580],
              ['2007', 1030, 540]
            ]);



		 // Create the data table.   air quality
        var data4 = new google.visualization.DataTable();
        data4.addColumn('string', 'Uhrzeit_Vortag');
        data4.addColumn('number', 'Air Quality Index');
	   	data4.addColumn('number', 'nh3 ');
	   	data4.addColumn('number', 'dummy ');
	   	data4.addColumn('number', 'dummy ');
        for(i = 0; i < my_2d_tempxxx.length; i++)
    data4.addRow([my_2d_tempxxx[i][0], parseFloat(my_2d_tempxxx[i][1]),parseFloat(my_2d_tempxxx[i][(2)]),parseFloat(my_2d_tempxxx[i][3]),parseFloat(my_2d_tempxxx[i][4])]);
       
// parseFloat statt parseINT


		 // Create the data table.   schadstoffe
        var data5 = new google.visualization.DataTable();
        data5.addColumn('string', 'Uhrzeit_Vortag');
        data5.addColumn('number', 'no');
	   	data5.addColumn('number', 'no2 ');
	   	data5.addColumn('number', 'pm2_5 ');
	   	data5.addColumn('number', 'pm10 ');
        for(i = 0; i < my_2d_tempyyy.length; i++)
    data5.addRow([my_2d_tempyyy[i][0], parseFloat(my_2d_tempyyy[i][1]),parseFloat(my_2d_tempyyy[i][(2)]),parseFloat(my_2d_tempyyy[i][3]),parseFloat(my_2d_tempyyy[i][4])]);















            // Set chart options  TEMPERATUR chart 0 sozusagen
		  var options = {'title':'気温',
        curveType: 'function',
		 colors: ['#e0440e', '#3366CC', '#f6c7b6', '#ec8f6e', '#f3b49f'],
//blau am ende
		 //		 colors: ['#DC3912' '#3366CC', '#109618', '#FF9900'],
   chartArea: {left:50,top:50},
   width: 1600,
   height: 600,
//         legend: { position: 'bottom' },
//animation:{'startup':true,
  //      duration: 10000,
    //    easing: 'out',
  //   },
        };
 				
			
			
            var options1 = {'title':'How Much Pizza I Ate Last Night',
                           'width':400,
                           'height':300};
            // Set chart options
            var options2 = {'title':'How Much Pizza You Ate Last Night',
                           'width':400,
                           'height':300};
            // Set chart options
            var options3 = {'title':'Line chart',
                           'width':400,
                           'height':300};
   
		var options4 = {
          title: 'aqi Air Quality Index  1=GOOD 2=Fair ３＝Moderate 4＝Poor 5＝Very poor',
//        curveType: 'function',
//		 colors: ['#e0440e', '#3366CC', '#f6c7b6', '#ec8f6e', '#f3b49f'],
		 
 		 colors: ['#e0440e', '#3366CC', '#f6c7b6', '#3366CC', '#3366CC'],
//	chartArea: {left:50,top:50},

	chartArea: {left:50},

   width: 1600,
   height: 600,
//         legend: { position: 'bottom' },

//animation:{'startup':true,
  //      duration: 10000,
    //    easing: 'out',
  //   },
	  };
		
		
		
		
				var options5 = {
          title: 'pollution',
//        curveType: 'function',
//		 colors: ['#e0440e', '#3366CC', '#f6c7b6', '#ec8f6e', '#f3b49f'],
		 //green #00FF00  der letzte Wert zaehlt nicht
 		 colors: ['#e0440e', '#3366CC', '#f6c7b6', '#00FF00', '#00FF00'],
//	chartArea: {left:50,top:50},

	chartArea: {left:50},

   width: 1600,
   height: 600,
//         legend: { position: 'bottom' },

//animation:{'startup':true,
  //      duration: 10000,
    //    easing: 'out',
  //   },
	  };
		
		
		
		
		
		
			
		
		
		
	    // Instantiate and draw our chart, passing in some options.
		
			var chart = new google.visualization.LineChart(document.getElementById('Openweather_temp_curve_chart'));
			chart.draw(data, options);

             //  pizzas und fixed graph chart mal weg
      //      var chart1 = new google.visualization.PieChart(document.getElementById('chart_div'));
       //     chart1.draw(data1, options1);
			
       //      var chart2 = new google.visualization.PieChart(document.getElementById('chart_div2'));
       //    chart2.draw(data2, options2);
			
       //     var chart3 = new google.visualization.LineChart(document.getElementById('chart_div3'));
       //    chart3.draw(data3, options3);
		
		
		//das ist noch das problem
			var chart4 = new google.visualization.LineChart(document.getElementById('chart_div4'));
			chart4.draw(data4, options4);
		
		
			var chart5 = new google.visualization.LineChart(document.getElementById('chart_div5'));
			chart5.draw(data5, options5);
		
		
		
		
       }

    </script>
	
  </head>


  <body>




       <!--    <td><div id="Openweather_temp_curve_chart" style="border: 1px solid #ccc"></div></td>     -->           


        <!--Divs that will hold the charts-->
	

		      <div id="Openweather_temp_curve_chart"></div>
				  <!-- die zwei pizzas und den fix chart testgraph nicht drucken     -->  
           <div id="chart_div"></div>   
           <div id="chart_div2"></div>    
           <div id="chart_div3"></div>    
          <div id="chart_div4"></div>
	        <div id="chart_div5"></div>
	













          <p>Air Quality Index, Carbon monoxide (CO), Nitrogen monoxide (NO), 
Nitrogen dioxide (NO<sub>2</sub>), Ozone (O<sub>3</sub>), Sulphur dioxide (SO<sub>2</sub>), Ammonia (NH<sub>3</sub>), and particulates (PM<sub>2.5</sub> and PM<sub>10</sub>). </p>


     <table>
	 
	 
	 


  <tr> 
  
 <p>Umegaoka weather station API (= Application Programming Interface) provided by <a href="https://www.openweathermap.org" target="_blank"> openweathermap.org</a>.</p>


	           <ul>
           <li><code>components.co</code> Сoncentration of CO (<a href="https://en.wikipedia.org/wiki/Carbon_monoxide" target="_blank">Carbon monoxide</a>), μg/m<sup>3</sup> </li>
           <li><code>components.no</code> Сoncentration of NO (<a href="https://en.wikipedia.org/wiki/Nitric_oxide" target="_blank">Nitrogen monoxide</a>), μg/m<sup>3</sup></li>
           <li><code>components.no2</code> Сoncentration of NO<sub>2</sub> (<a href="https://en.wikipedia.org/wiki/Nitrogen_dioxide" target="_blank">Nitrogen dioxide</a>), μg/m<sup>3</sup></li>
           <li><code>components.o3</code> Сoncentration of O<sub>3</sub> (<a href="https://en.wikipedia.org/wiki/Ozone" target="_blank">Ozone</a>), μg/m<sup>3</sup></li>
           <li><code>components.so2</code> Сoncentration of SO<sub>2</sub> (<a href="https://en.wikipedia.org/wiki/Sulfur_dioxide" target="_blank">Sulphur dioxide</a>), μg/m<sup>3</sup></li>
           <li><code>components.pm2_5</code> Сoncentration of PM<sub>2.5</sub> (<a href="https://en.wikipedia.org/wiki/Particulates" target="_blank">Fine particles matter</a>), μg/m<sup>3</sup></li>
           <li><code>components.pm10</code> Сoncentration of PM<sub>10</sub> (<a href="https://en.wikipedia.org/wiki/Particulates#Size,_shape_and_solubility_matter" target="_blank">Coarse particulate matter</a>), μg/m<sup>3</sup></li>
           <li><code>components.nh3</code> Сoncentration of NH<sub>3</sub> (<a href="https://en.wikipedia.org/wiki/Ammonia" target="_blank">Ammonia</a>), μg/m<sup>3</sup></li>
          </ul>
	 
  </tr>	 
	 
	 <br>
	 
	 
	 
	 
	 <thead>
  <tr>
    <th>air quality index - </th>
    <th colspan="4"> pollutant concentration in μg/m<sup>3</sup></th>
  </tr>
</thead>
<tbody>
  <tr>
    <td colspan="2"></td>
    <td>NO<sub>2</sub></td>
    <td>PM<sub>10</sub></td>
    <td>O<sub>3</sub></td>
    <td>PM<sub>25</sub> (optional)</td>
  </tr>
  <tr>
    <td>Good</td>
    <td>1</td>
    <td>0-50</td>
    <td>0-25</td>
    <td>0-60</td>
    <td>0-15</td>
  </tr>
  <tr>
    <td>Fair</td>
    <td>2</td>
    <td>50-100</td>
    <td>25-50</td>
    <td>60-120</td>
    <td>15-30</td>
  </tr>
  <tr>
    <td>Moderate</td>
    <td>3</td>
    <td>100-200</td>
    <td>50-90</td>
    <td>120-180</td>
    <td>30-55</td>
  </tr>
  <tr>
    <td>Poor</td>
    <td>4</td>
    <td>200-400</td>
    <td>90-180</td>
    <td>180-240</td>
    <td>55-110</td>
  </tr>
  <tr>
    <td>Very Poor</td>
    <td>5</td>
    <td>&gt;400</td>
    <td>&gt;180</td>
    <td>&gt;240</td>
    <td>&gt;110</td>
  </tr>

 </tbody>
	 
	 
	 
	 












  </body>
</html>