South Korean Won KRW 2016 Conversion Rates

  • Opening Value is 1175.216647 KRW per Dollar
  • Closing Value is 1205.750384 KRW per Dollar
  • Change in Value during 2016 is 30.5337 which is 2.60%
  • Best Performance is on 2016-09-07 with 1090.050049 KRW per Dollar
  • Lowest Performance is on 2016-02-28 with 1241.918351 KRW per Dollar
  • Average Value is 1,160.6322 KRW per Dollar
  • Swing Between the higest and the lowest is 151.8683 per Dollar, that is 12.92% compared to the opening value.

USD to KRW Conversion Rates – 12 months

Date 1 USD =
2016-12-31 1,205.7504 KRW
2016-11-30 1,176.7496 KRW
2016-10-31 1,143.9000 KRW
2016-09-30 1,098.3000 KRW
2016-08-31 1,115.6000 KRW
2016-07-31 1,112.0500 KRW
2016-06-30 1,154.3650 KRW
2016-05-31 1,190.6133 KRW
2016-04-30 1,141.8983 KRW
2016-03-31 1,145.6450 KRW
2016-02-29 1,240.0833 KRW
2016-01-31 1,204.3800 KRW
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-31”),1,205.750,1,205.75],[new Date(“2016-11-30”),1,176.750,1,176.75],[new Date(“2016-10-31”),1,143.900,1,143.90],[new Date(“2016-09-30”),1,098.300,1,098.30],[new Date(“2016-08-31”),1,115.600,1,115.60],[new Date(“2016-07-31”),1,112.050,1,112.05],[new Date(“2016-06-30”),1,154.365,1,154.36],[new Date(“2016-05-31”),1,190.613,1,190.61],[new Date(“2016-04-30”),1,141.898,1,141.90],[new Date(“2016-03-31”),1,145.645,1,145.65],[new Date(“2016-02-29”),1,240.083,1,240.08],[new Date(“2016-01-31”),1,204.380,1,204.38],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2016

01      1,169.6500
02      1,167.2000
↗2.450, 0.21%
03      1,167.2000
→0.000, 0.00%
04      1,167.2000
→0.000, 0.00%
05      1,166.9900
↗0.210, 0.02%
06      1,170.5900
↘3.600, 0.31%
07      1,157.4900
↗13.100, 1.12%
08      1,162.2497
↘4.760, 0.41%
09      1,171.3900
↘9.140, 0.79%
10      1,171.3900
→0.000, 0.00%
11      1,170.7900
↗0.600, 0.05%
12      1,165.1500
↗5.640, 0.48%
13      1,163.0900
↗2.060, 0.18%
14      1,178.6100
↘15.520, 1.33%
15      1,183.9500
↘5.340, 0.45%
16      1,185.0699
↘1.120, 0.09%
17      1,185.0699
→0.000, 0.00%
18      1,185.4900
↘0.420, 0.04%
19      1,186.4500
↘0.960, 0.08%
20      1,190.9700
↘4.520, 0.38%
21      1,192.9900
↘2.020, 0.17%
22      1,204.5900
↘11.600, 0.97%
23      1,198.8500
↗5.740, 0.48%
24      1,198.8500
→0.000, 0.00%
25      1,199.0500
↘0.200, 0.02%
26      1,199.0500
→0.000, 0.00%
27      1,206.0699
↘7.020, 0.59%
28      1,209.7100
↘3.640, 0.30%
29      1,204.7300
↗4.980, 0.41%
30      1,205.7504
↘1.020, 0.08%
31      1,205.7504
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-01”),1,169.650,1,169.65],[new Date(“2016-12-02”),1,167.200,1,167.20],[new Date(“2016-12-03”),1,167.200,1,167.20],[new Date(“2016-12-04”),1,167.200,1,167.20],[new Date(“2016-12-05”),1,166.990,1,166.99],[new Date(“2016-12-06”),1,170.590,1,170.59],[new Date(“2016-12-07”),1,157.490,1,157.49],[new Date(“2016-12-08”),1,162.250,1,162.25],[new Date(“2016-12-09”),1,171.390,1,171.39],[new Date(“2016-12-10”),1,171.390,1,171.39],[new Date(“2016-12-11”),1,170.790,1,170.79],[new Date(“2016-12-12”),1,165.150,1,165.15],[new Date(“2016-12-13”),1,163.090,1,163.09],[new Date(“2016-12-14”),1,178.610,1,178.61],[new Date(“2016-12-15”),1,183.950,1,183.95],[new Date(“2016-12-16”),1,185.070,1,185.07],[new Date(“2016-12-17”),1,185.070,1,185.07],[new Date(“2016-12-18”),1,185.490,1,185.49],[new Date(“2016-12-19”),1,186.450,1,186.45],[new Date(“2016-12-20”),1,190.970,1,190.97],[new Date(“2016-12-21”),1,192.990,1,192.99],[new Date(“2016-12-22”),1,204.590,1,204.59],[new Date(“2016-12-23”),1,198.850,1,198.85],[new Date(“2016-12-24”),1,198.850,1,198.85],[new Date(“2016-12-25”),1,199.050,1,199.05],[new Date(“2016-12-26”),1,199.050,1,199.05],[new Date(“2016-12-27”),1,206.070,1,206.07],[new Date(“2016-12-28”),1,209.710,1,209.71],[new Date(“2016-12-29”),1,204.730,1,204.73],[new Date(“2016-12-30”),1,205.750,1,205.75],[new Date(“2016-12-31″),1,205.750,1,205.75],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2016

01      1,140.4500
02      1,144.5149
↘4.065, 0.36%
03      1,143.0500
↗1.465, 0.13%
04      1,141.2000
↗1.850, 0.16%
05      1,141.2000
→0.000, 0.00%
06      1,143.8500
↘2.650, 0.23%
07      1,142.1000
↗1.750, 0.15%
08      1,129.3000
↗12.800, 1.12%
09      1,154.4000
↘25.100, 2.22%
10      1,163.0500
↘8.650, 0.75%
11      1,168.9500
↘5.900, 0.51%
12      1,168.9500
→0.000, 0.00%
13      1,168.9500
→0.000, 0.00%
14      1,171.4000
↘2.450, 0.21%
15      1,166.7500
↗4.650, 0.40%
16      1,172.8000
↘6.050, 0.52%
17      1,175.9000
↘3.100, 0.26%
18      1,180.0004
↘4.100, 0.35%
19      1,180.0004
→0.000, 0.00%
20      1,179.9997
↗0.001, 0.00%
21      1,178.3000
↗1.700, 0.14%
22      1,175.0000
↗3.300, 0.28%
23      1,178.9000
↘3.900, 0.33%
24      1,177.4000
↗1.500, 0.13%
25      1,175.2504
↗2.150, 0.18%
26      1,177.0004
↘1.750, 0.15%
27      1,174.6500
↗2.350, 0.20%
28      1,169.3000
↗5.350, 0.46%
29      1,167.7494
↗1.551, 0.13%
30      1,176.7496
↘9.000, 0.77%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-11-01”),1,140.450,1,140.45],[new Date(“2016-11-02”),1,144.515,1,144.51],[new Date(“2016-11-03”),1,143.050,1,143.05],[new Date(“2016-11-04”),1,141.200,1,141.20],[new Date(“2016-11-05”),1,141.200,1,141.20],[new Date(“2016-11-06”),1,143.850,1,143.85],[new Date(“2016-11-07”),1,142.100,1,142.10],[new Date(“2016-11-08”),1,129.300,1,129.30],[new Date(“2016-11-09”),1,154.400,1,154.40],[new Date(“2016-11-10”),1,163.050,1,163.05],[new Date(“2016-11-11”),1,168.950,1,168.95],[new Date(“2016-11-12”),1,168.950,1,168.95],[new Date(“2016-11-13”),1,168.950,1,168.95],[new Date(“2016-11-14”),1,171.400,1,171.40],[new Date(“2016-11-15”),1,166.750,1,166.75],[new Date(“2016-11-16”),1,172.800,1,172.80],[new Date(“2016-11-17”),1,175.900,1,175.90],[new Date(“2016-11-18”),1,180.000,1,180.00],[new Date(“2016-11-19”),1,180.000,1,180.00],[new Date(“2016-11-20”),1,180.000,1,180.00],[new Date(“2016-11-21”),1,178.300,1,178.30],[new Date(“2016-11-22”),1,175.000,1,175.00],[new Date(“2016-11-23”),1,178.900,1,178.90],[new Date(“2016-11-24”),1,177.400,1,177.40],[new Date(“2016-11-25”),1,175.250,1,175.25],[new Date(“2016-11-26”),1,177.000,1,177.00],[new Date(“2016-11-27”),1,174.650,1,174.65],[new Date(“2016-11-28”),1,169.300,1,169.30],[new Date(“2016-11-29”),1,167.749,1,167.75],[new Date(“2016-11-30″),1,176.750,1,176.75],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2016

01      1,098.3000
02      1,098.3000
→0.000, 0.00%
03      1,103.8000
↘5.500, 0.50%
04      1,109.9997
↘6.200, 0.56%
05      1,113.4000
↘3.400, 0.31%
06      1,116.9500
↘3.550, 0.32%
07      1,116.3500
↗0.600, 0.05%
08      1,116.3500
→0.000, 0.00%
09      1,116.3500
→0.000, 0.00%
10      1,110.0500
↗6.300, 0.56%
11      1,125.6500
↘15.600, 1.41%
12      1,127.1000
↘1.450, 0.13%
13      1,133.4000
↘6.300, 0.56%
14      1,134.0004
↘0.600, 0.05%
15      1,134.0004
→0.000, 0.00%
16      1,134.0001
↗0.000, 0.00%
17      1,137.7000
↘3.700, 0.33%
18      1,125.0500
↗12.650, 1.11%
19      1,120.9500
↗4.100, 0.36%
20      1,128.3000
↘7.350, 0.66%
21      1,137.3500
↘9.050, 0.80%
22      1,137.3500
→0.000, 0.00%
23      1,137.3500
→0.000, 0.00%
24      1,134.5500
↗2.800, 0.25%
25      1,129.1000
↗5.450, 0.48%
26      1,136.2000
↘7.100, 0.63%
27      1,145.6000
↘9.400, 0.83%
28      1,146.6000
↘1.000, 0.09%
29      1,146.6000
→0.000, 0.00%
30      1,143.9500
↗2.650, 0.23%
31      1,143.9000
↗0.050, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-10-01”),1,098.300,1,098.30],[new Date(“2016-10-02”),1,098.300,1,098.30],[new Date(“2016-10-03”),1,103.800,1,103.80],[new Date(“2016-10-04”),1,110.000,1,110.00],[new Date(“2016-10-05”),1,113.400,1,113.40],[new Date(“2016-10-06”),1,116.950,1,116.95],[new Date(“2016-10-07”),1,116.350,1,116.35],[new Date(“2016-10-08”),1,116.350,1,116.35],[new Date(“2016-10-09”),1,116.350,1,116.35],[new Date(“2016-10-10”),1,110.050,1,110.05],[new Date(“2016-10-11”),1,125.650,1,125.65],[new Date(“2016-10-12”),1,127.100,1,127.10],[new Date(“2016-10-13”),1,133.400,1,133.40],[new Date(“2016-10-14”),1,134.000,1,134.00],[new Date(“2016-10-15”),1,134.000,1,134.00],[new Date(“2016-10-16”),1,134.000,1,134.00],[new Date(“2016-10-17”),1,137.700,1,137.70],[new Date(“2016-10-18”),1,125.050,1,125.05],[new Date(“2016-10-19”),1,120.950,1,120.95],[new Date(“2016-10-20”),1,128.300,1,128.30],[new Date(“2016-10-21”),1,137.350,1,137.35],[new Date(“2016-10-22”),1,137.350,1,137.35],[new Date(“2016-10-23”),1,137.350,1,137.35],[new Date(“2016-10-24”),1,134.550,1,134.55],[new Date(“2016-10-25”),1,129.100,1,129.10],[new Date(“2016-10-26”),1,136.200,1,136.20],[new Date(“2016-10-27”),1,145.600,1,145.60],[new Date(“2016-10-28”),1,146.600,1,146.60],[new Date(“2016-10-29”),1,146.600,1,146.60],[new Date(“2016-10-30”),1,143.950,1,143.95],[new Date(“2016-10-31″),1,143.900,1,143.90],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}

September, 2016

01      1,117.6500
02      1,113.8000
↗3.850, 0.34%
03      1,113.8000
→0.000, 0.00%
04      1,115.4000
↘1.600, 0.14%
05      1,103.9994
↗11.401, 1.02%
06      1,093.9000
↗10.099, 0.91%
07      1,090.0500
↗3.850, 0.35%
08      1,095.5500
↘5.500, 0.50%
09      1,105.0004
↘9.450, 0.86%
10      1,105.0004
→0.000, 0.00%
11      1,105.0002
↗0.000, 0.00%
12      1,107.5015
↘2.501, 0.23%
13      1,127.2496
↘19.748, 1.78%
14      1,123.8000
↗3.450, 0.31%
15      1,125.8500
↘2.050, 0.18%
16      1,126.9000
↘1.050, 0.09%
17      1,126.9000
→0.000, 0.00%
18      1,126.9000
→0.000, 0.00%
19      1,118.6500
↗8.250, 0.73%
20      1,117.2000
↗1.450, 0.13%
21      1,112.4000
↗4.800, 0.43%
22      1,101.5500
↗10.850, 0.98%
23      1,102.8500
↘1.300, 0.12%
24      1,102.8500
→0.000, 0.00%
25      1,102.8500
→0.000, 0.00%
26      1,105.6000
↘2.750, 0.25%
27      1,097.0000
↗8.600, 0.78%
28      1,093.2496
↗3.750, 0.34%
29      1,097.3000
↘4.050, 0.37%
30      1,098.3000
↘1.000, 0.09%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-09-01”),1,117.650,1,117.65],[new Date(“2016-09-02”),1,113.800,1,113.80],[new Date(“2016-09-03”),1,113.800,1,113.80],[new Date(“2016-09-04”),1,115.400,1,115.40],[new Date(“2016-09-05”),1,103.999,1,104.00],[new Date(“2016-09-06”),1,093.900,1,093.90],[new Date(“2016-09-07”),1,090.050,1,090.05],[new Date(“2016-09-08”),1,095.550,1,095.55],[new Date(“2016-09-09”),1,105.000,1,105.00],[new Date(“2016-09-10”),1,105.000,1,105.00],[new Date(“2016-09-11”),1,105.000,1,105.00],[new Date(“2016-09-12”),1,107.501,1,107.50],[new Date(“2016-09-13”),1,127.250,1,127.25],[new Date(“2016-09-14”),1,123.800,1,123.80],[new Date(“2016-09-15”),1,125.850,1,125.85],[new Date(“2016-09-16”),1,126.900,1,126.90],[new Date(“2016-09-17”),1,126.900,1,126.90],[new Date(“2016-09-18”),1,126.900,1,126.90],[new Date(“2016-09-19”),1,118.650,1,118.65],[new Date(“2016-09-20”),1,117.200,1,117.20],[new Date(“2016-09-21”),1,112.400,1,112.40],[new Date(“2016-09-22”),1,101.550,1,101.55],[new Date(“2016-09-23”),1,102.850,1,102.85],[new Date(“2016-09-24”),1,102.850,1,102.85],[new Date(“2016-09-25”),1,102.850,1,102.85],[new Date(“2016-09-26”),1,105.600,1,105.60],[new Date(“2016-09-27”),1,097.000,1,097.00],[new Date(“2016-09-28”),1,093.250,1,093.25],[new Date(“2016-09-29”),1,097.300,1,097.30],[new Date(“2016-09-30″),1,098.300,1,098.30],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}

August, 2016

01      1,106.7502
02      1,106.2000
↗0.550, 0.05%
03      1,114.7499
↘8.550, 0.77%
04      1,112.4500
↗2.300, 0.21%
05      1,114.6500
↘2.200, 0.20%
06      1,114.6500
→0.000, 0.00%
07      1,114.6500
→0.000, 0.00%
08      1,107.1500
↗7.500, 0.67%
09      1,101.2498
↗5.900, 0.53%
10      1,095.5500
↗5.700, 0.52%
11      1,098.6500
↘3.100, 0.28%
12      1,102.0004
↘3.350, 0.30%
13      1,102.0004
→0.000, 0.00%
14      1,102.0002
↗0.000, 0.00%
15      1,095.7000
↗6.300, 0.57%
16      1,094.8000
↗0.900, 0.08%
17      1,113.4500
↘18.650, 1.70%
18      1,110.7502
↗2.700, 0.24%
19      1,116.8000
↘6.050, 0.54%
20      1,116.8000
→0.000, 0.00%
21      1,116.8000
→0.000, 0.00%
22      1,121.9000
↘5.100, 0.46%
23      1,116.5027
↗5.397, 0.48%
24      1,120.7000
↘4.197, 0.38%
25      1,115.3000
↗5.400, 0.48%
26      1,121.5038
↘6.204, 0.56%
27      1,121.5038
→0.000, 0.00%
28      1,121.5135
↘0.010, 0.00%
29      1,121.5091
↗0.004, 0.00%
30      1,119.4000
↗2.109, 0.19%
31      1,115.6000
↗3.800, 0.34%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-08-01”),1,106.750,1,106.75],[new Date(“2016-08-02”),1,106.200,1,106.20],[new Date(“2016-08-03”),1,114.750,1,114.75],[new Date(“2016-08-04”),1,112.450,1,112.45],[new Date(“2016-08-05”),1,114.650,1,114.65],[new Date(“2016-08-06”),1,114.650,1,114.65],[new Date(“2016-08-07”),1,114.650,1,114.65],[new Date(“2016-08-08”),1,107.150,1,107.15],[new Date(“2016-08-09”),1,101.250,1,101.25],[new Date(“2016-08-10”),1,095.550,1,095.55],[new Date(“2016-08-11”),1,098.650,1,098.65],[new Date(“2016-08-12”),1,102.000,1,102.00],[new Date(“2016-08-13”),1,102.000,1,102.00],[new Date(“2016-08-14”),1,102.000,1,102.00],[new Date(“2016-08-15”),1,095.700,1,095.70],[new Date(“2016-08-16”),1,094.800,1,094.80],[new Date(“2016-08-17”),1,113.450,1,113.45],[new Date(“2016-08-18”),1,110.750,1,110.75],[new Date(“2016-08-19”),1,116.800,1,116.80],[new Date(“2016-08-20”),1,116.800,1,116.80],[new Date(“2016-08-21”),1,116.800,1,116.80],[new Date(“2016-08-22”),1,121.900,1,121.90],[new Date(“2016-08-23”),1,116.503,1,116.50],[new Date(“2016-08-24”),1,120.700,1,120.70],[new Date(“2016-08-25”),1,115.300,1,115.30],[new Date(“2016-08-26”),1,121.504,1,121.50],[new Date(“2016-08-27”),1,121.504,1,121.50],[new Date(“2016-08-28”),1,121.514,1,121.51],[new Date(“2016-08-29”),1,121.509,1,121.51],[new Date(“2016-08-30”),1,119.400,1,119.40],[new Date(“2016-08-31″),1,115.600,1,115.60],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2016

01      1,148.9467
02      1,148.0133
↗0.933, 0.08%
03      1,147.4867
↗0.527, 0.05%
04      1,148.5717
↘1.085, 0.09%
05      1,153.3883
↘4.817, 0.42%
06      1,160.6067
↘7.218, 0.63%
07      1,157.4700
↗3.137, 0.27%
08      1,155.7350
↗1.735, 0.15%
09      1,155.5117
↗0.223, 0.02%
10      1,154.8800
↗0.632, 0.05%
11      1,149.0167
↗5.863, 0.51%
12      1,147.7000
↗1.317, 0.11%
13      1,146.2400
↗1.460, 0.13%
14      1,137.6867
↗8.553, 0.75%
15      1,132.3500
↗5.337, 0.47%
16      1,132.3500
→0.000, 0.00%
17      1,132.3500
→0.000, 0.00%
18      1,134.6500
↘2.300, 0.20%
19      1,140.2497
↘5.600, 0.49%
20      1,141.8500
↘1.600, 0.14%
21      1,137.1000
↗4.750, 0.42%
22      1,137.3000
↘0.200, 0.02%
23      1,137.3000
→0.000, 0.00%
24      1,137.3000
→0.000, 0.00%
25      1,141.9000
↘4.600, 0.40%
26      1,135.9997
↗5.900, 0.52%
27      1,135.5500
↗0.450, 0.04%
28      1,125.0000
↗10.550, 0.93%
29      1,112.0500
↗12.950, 1.15%
30      1,112.0500
→0.000, 0.00%
31      1,112.0500
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-07-01”),1,148.947,1,148.95],[new Date(“2016-07-02”),1,148.013,1,148.01],[new Date(“2016-07-03”),1,147.487,1,147.49],[new Date(“2016-07-04”),1,148.572,1,148.57],[new Date(“2016-07-05”),1,153.388,1,153.39],[new Date(“2016-07-06”),1,160.607,1,160.61],[new Date(“2016-07-07”),1,157.470,1,157.47],[new Date(“2016-07-08”),1,155.735,1,155.73],[new Date(“2016-07-09”),1,155.512,1,155.51],[new Date(“2016-07-10”),1,154.880,1,154.88],[new Date(“2016-07-11”),1,149.017,1,149.02],[new Date(“2016-07-12”),1,147.700,1,147.70],[new Date(“2016-07-13”),1,146.240,1,146.24],[new Date(“2016-07-14”),1,137.687,1,137.69],[new Date(“2016-07-15”),1,132.350,1,132.35],[new Date(“2016-07-16”),1,132.350,1,132.35],[new Date(“2016-07-17”),1,132.350,1,132.35],[new Date(“2016-07-18”),1,134.650,1,134.65],[new Date(“2016-07-19”),1,140.250,1,140.25],[new Date(“2016-07-20”),1,141.850,1,141.85],[new Date(“2016-07-21”),1,137.100,1,137.10],[new Date(“2016-07-22”),1,137.300,1,137.30],[new Date(“2016-07-23”),1,137.300,1,137.30],[new Date(“2016-07-24”),1,137.300,1,137.30],[new Date(“2016-07-25”),1,141.900,1,141.90],[new Date(“2016-07-26”),1,136.000,1,136.00],[new Date(“2016-07-27”),1,135.550,1,135.55],[new Date(“2016-07-28”),1,125.000,1,125.00],[new Date(“2016-07-29”),1,112.050,1,112.05],[new Date(“2016-07-30”),1,112.050,1,112.05],[new Date(“2016-07-31″),1,112.050,1,112.05],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}

June, 2016

01      1,193.3383
02      1,188.3017
↗5.037, 0.42%
03      1,178.9133
↗9.388, 0.79%
04      1,175.6867
↗3.227, 0.27%
05      1,170.5400
↗5.147, 0.44%
06      1,164.3267
↗6.213, 0.53%
07      1,162.4983
↗1.828, 0.16%
08      1,156.4633
↗6.035, 0.52%
09      1,156.6067
↘0.143, 0.01%
10      1,164.8633
↘8.257, 0.71%
11      1,167.4933
↘2.630, 0.23%
12      1,169.6317
↘2.138, 0.18%
13      1,172.4566
↘2.825, 0.24%
14      1,173.6700
↘1.213, 0.10%
15      1,172.5783
↗1.092, 0.09%
16      1,172.3350
↗0.243, 0.02%
17      1,172.1833
↗0.152, 0.01%
18      1,171.7933
↗0.390, 0.03%
19      1,171.3817
↗0.412, 0.04%
20      1,163.5233
↗7.858, 0.67%
21      1,156.7367
↗6.787, 0.58%
22      1,153.4116
↗3.325, 0.29%
23      1,150.0217
↗3.390, 0.29%
24      1,164.6717
↘14.650, 1.27%
25      1,174.8650
↘10.193, 0.88%
26      1,174.5200
↗0.345, 0.03%
27      1,179.1517
↘4.632, 0.39%
28      1,173.7750
↗5.377, 0.46%
29      1,162.3133
↗11.462, 0.98%
30      1,154.3650
↗7.948, 0.68%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),1,193.338,1,193.34],[new Date(“2016-06-02”),1,188.302,1,188.30],[new Date(“2016-06-03”),1,178.913,1,178.91],[new Date(“2016-06-04”),1,175.687,1,175.69],[new Date(“2016-06-05”),1,170.540,1,170.54],[new Date(“2016-06-06”),1,164.327,1,164.33],[new Date(“2016-06-07”),1,162.498,1,162.50],[new Date(“2016-06-08”),1,156.463,1,156.46],[new Date(“2016-06-09”),1,156.607,1,156.61],[new Date(“2016-06-10”),1,164.863,1,164.86],[new Date(“2016-06-11”),1,167.493,1,167.49],[new Date(“2016-06-12”),1,169.632,1,169.63],[new Date(“2016-06-13”),1,172.457,1,172.46],[new Date(“2016-06-14”),1,173.670,1,173.67],[new Date(“2016-06-15”),1,172.578,1,172.58],[new Date(“2016-06-16”),1,172.335,1,172.33],[new Date(“2016-06-17”),1,172.183,1,172.18],[new Date(“2016-06-18”),1,171.793,1,171.79],[new Date(“2016-06-19”),1,171.382,1,171.38],[new Date(“2016-06-20”),1,163.523,1,163.52],[new Date(“2016-06-21”),1,156.737,1,156.74],[new Date(“2016-06-22”),1,153.412,1,153.41],[new Date(“2016-06-23”),1,150.022,1,150.02],[new Date(“2016-06-24”),1,164.672,1,164.67],[new Date(“2016-06-25”),1,174.865,1,174.86],[new Date(“2016-06-26”),1,174.520,1,174.52],[new Date(“2016-06-27”),1,179.152,1,179.15],[new Date(“2016-06-28”),1,173.775,1,173.77],[new Date(“2016-06-29”),1,162.313,1,162.31],[new Date(“2016-06-30″),1,154.365,1,154.36],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2016

01      1,143.3800
02      1,139.8850
↗3.495, 0.31%
03      1,144.2917
↘4.407, 0.39%
04      1,154.2267
↘9.935, 0.87%
05      1,163.8567
↘9.630, 0.83%
06      1,168.6583
↘4.802, 0.41%
07      1,169.6817
↘1.023, 0.09%
08      1,169.6583
↗0.023, 0.00%
09      1,170.2983
↘0.640, 0.05%
10      1,171.8417
↘1.543, 0.13%
11      1,168.4333
↗3.408, 0.29%
12      1,166.6633
↗1.770, 0.15%
13      1,171.7083
↘5.045, 0.43%
14      1,173.6700
↘1.962, 0.17%
15      1,175.1000
↘1.430, 0.12%
16      1,178.0283
↘2.928, 0.25%
17      1,176.4050
↗1.623, 0.14%
18      1,182.9983
↘6.593, 0.56%
19      1,185.3483
↘2.350, 0.20%
20      1,190.2700
↘4.922, 0.42%
21      1,190.1266
↗0.143, 0.01%
22      1,189.6583
↗0.468, 0.04%
23      1,185.4750
↗4.183, 0.35%
24      1,188.9867
↘3.512, 0.30%
25      1,184.2350
↗4.752, 0.40%
26      1,181.2433
↗2.992, 0.25%
27      1,182.2450
↘1.002, 0.08%
28      1,182.3600
↘0.115, 0.01%
29      1,184.4166
↘2.057, 0.17%
30      1,193.5267
↘9.110, 0.77%
31      1,190.6133
↗2.913, 0.24%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),1,143.380,1,143.38],[new Date(“2016-05-02”),1,139.885,1,139.89],[new Date(“2016-05-03”),1,144.292,1,144.29],[new Date(“2016-05-04”),1,154.227,1,154.23],[new Date(“2016-05-05”),1,163.857,1,163.86],[new Date(“2016-05-06”),1,168.658,1,168.66],[new Date(“2016-05-07”),1,169.682,1,169.68],[new Date(“2016-05-08”),1,169.658,1,169.66],[new Date(“2016-05-09”),1,170.298,1,170.30],[new Date(“2016-05-10”),1,171.842,1,171.84],[new Date(“2016-05-11”),1,168.433,1,168.43],[new Date(“2016-05-12”),1,166.663,1,166.66],[new Date(“2016-05-13”),1,171.708,1,171.71],[new Date(“2016-05-14”),1,173.670,1,173.67],[new Date(“2016-05-15”),1,175.100,1,175.10],[new Date(“2016-05-16”),1,178.028,1,178.03],[new Date(“2016-05-17”),1,176.405,1,176.40],[new Date(“2016-05-18”),1,182.998,1,183.00],[new Date(“2016-05-19”),1,185.348,1,185.35],[new Date(“2016-05-20”),1,190.270,1,190.27],[new Date(“2016-05-21”),1,190.127,1,190.13],[new Date(“2016-05-22”),1,189.658,1,189.66],[new Date(“2016-05-23”),1,185.475,1,185.47],[new Date(“2016-05-24”),1,188.987,1,188.99],[new Date(“2016-05-25”),1,184.235,1,184.23],[new Date(“2016-05-26”),1,181.243,1,181.24],[new Date(“2016-05-27”),1,182.245,1,182.24],[new Date(“2016-05-28”),1,182.360,1,182.36],[new Date(“2016-05-29”),1,184.417,1,184.42],[new Date(“2016-05-30”),1,193.527,1,193.53],[new Date(“2016-05-31″),1,190.613,1,190.61],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2016

01      1,148.0400
02      1,150.0083
↘1.968, 0.17%
03      1,149.7017
↗0.307, 0.03%
04      1,148.6017
↗1.100, 0.10%
05      1,155.1267
↘6.525, 0.57%
06      1,156.4917
↘1.365, 0.12%
07      1,156.5733
↘0.082, 0.01%
08      1,154.2267
↗2.347, 0.20%
09      1,153.2917
↗0.935, 0.08%
10      1,152.8050
↗0.487, 0.04%
11      1,146.9983
↗5.807, 0.50%
12      1,145.5933
↗1.405, 0.12%
13      1,144.5550
↗1.038, 0.09%
14      1,152.0717
↘7.517, 0.66%
15      1,148.5933
↗3.478, 0.30%
16      1,147.3150
↗1.278, 0.11%
17      1,145.9417
↗1.373, 0.12%
18      1,146.9450
↘1.003, 0.09%
19      1,137.3667
↗9.578, 0.84%
20      1,133.9317
↗3.435, 0.30%
21      1,135.0700
↘1.138, 0.10%
22      1,142.9467
↘7.877, 0.69%
23      1,145.7400
↘2.793, 0.24%
24      1,147.8017
↘2.062, 0.18%
25      1,150.1483
↘2.347, 0.20%
26      1,149.3967
↗0.752, 0.07%
27      1,148.8933
↗0.503, 0.04%
28      1,141.7267
↗7.167, 0.62%
29      1,142.2683
↘0.542, 0.05%
30      1,141.8983
↗0.370, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-04-01”),1,148.040,1,148.04],[new Date(“2016-04-02”),1,150.008,1,150.01],[new Date(“2016-04-03”),1,149.702,1,149.70],[new Date(“2016-04-04”),1,148.602,1,148.60],[new Date(“2016-04-05”),1,155.127,1,155.13],[new Date(“2016-04-06”),1,156.492,1,156.49],[new Date(“2016-04-07”),1,156.573,1,156.57],[new Date(“2016-04-08”),1,154.227,1,154.23],[new Date(“2016-04-09”),1,153.292,1,153.29],[new Date(“2016-04-10”),1,152.805,1,152.81],[new Date(“2016-04-11”),1,146.998,1,147.00],[new Date(“2016-04-12”),1,145.593,1,145.59],[new Date(“2016-04-13”),1,144.555,1,144.55],[new Date(“2016-04-14”),1,152.072,1,152.07],[new Date(“2016-04-15”),1,148.593,1,148.59],[new Date(“2016-04-16”),1,147.315,1,147.31],[new Date(“2016-04-17”),1,145.942,1,145.94],[new Date(“2016-04-18”),1,146.945,1,146.94],[new Date(“2016-04-19”),1,137.367,1,137.37],[new Date(“2016-04-20”),1,133.932,1,133.93],[new Date(“2016-04-21”),1,135.070,1,135.07],[new Date(“2016-04-22”),1,142.947,1,142.95],[new Date(“2016-04-23”),1,145.740,1,145.74],[new Date(“2016-04-24”),1,147.802,1,147.80],[new Date(“2016-04-25”),1,150.148,1,150.15],[new Date(“2016-04-26”),1,149.397,1,149.40],[new Date(“2016-04-27”),1,148.893,1,148.89],[new Date(“2016-04-28”),1,141.727,1,141.73],[new Date(“2016-04-29”),1,142.268,1,142.27],[new Date(“2016-04-30″),1,141.898,1,141.90],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2016

01      1,234.0733
02      1,229.3550
↗4.718, 0.38%
03      1,218.5817
↗10.773, 0.88%
04      1,205.7433
↗12.838, 1.05%
05      1,201.9867
↗3.757, 0.31%
06      1,200.1383
↗1.848, 0.15%
07      1,200.2183
↘0.080, 0.01%
08      1,206.1950
↘5.977, 0.50%
09      1,211.0983
↘4.903, 0.41%
10      1,207.1033
↗3.995, 0.33%
11      1,195.6483
↗11.455, 0.95%
12      1,191.4783
↗4.170, 0.35%
13      1,188.4967
↗2.982, 0.25%
14      1,186.6933
↗1.803, 0.15%
15      1,189.8883
↘3.195, 0.27%
16      1,188.1750
↗1.713, 0.14%
17      1,173.1983
↗14.977, 1.26%
18      1,164.2283
↗8.970, 0.76%
19      1,162.4683
↗1.760, 0.15%
20      1,163.0583
↘0.590, 0.05%
21      1,162.9766
↗0.082, 0.01%
22      1,157.6650
↗5.312, 0.46%
23      1,162.5083
↘4.843, 0.42%
24      1,165.3916
↘2.883, 0.25%
25      1,168.7700
↘3.378, 0.29%
26      1,169.2717
↘0.502, 0.04%
27      1,169.3183
↘0.047, 0.00%
28      1,167.1417
↗2.177, 0.19%
29      1,163.4650
↗3.677, 0.32%
30      1,153.1817
↗10.283, 0.88%
31      1,145.6450
↗7.537, 0.65%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-03-01”),1,234.073,1,234.07],[new Date(“2016-03-02”),1,229.355,1,229.36],[new Date(“2016-03-03”),1,218.582,1,218.58],[new Date(“2016-03-04”),1,205.743,1,205.74],[new Date(“2016-03-05”),1,201.987,1,201.99],[new Date(“2016-03-06”),1,200.138,1,200.14],[new Date(“2016-03-07”),1,200.218,1,200.22],[new Date(“2016-03-08”),1,206.195,1,206.19],[new Date(“2016-03-09”),1,211.098,1,211.10],[new Date(“2016-03-10”),1,207.103,1,207.10],[new Date(“2016-03-11”),1,195.648,1,195.65],[new Date(“2016-03-12”),1,191.478,1,191.48],[new Date(“2016-03-13”),1,188.497,1,188.50],[new Date(“2016-03-14”),1,186.693,1,186.69],[new Date(“2016-03-15”),1,189.888,1,189.89],[new Date(“2016-03-16”),1,188.175,1,188.17],[new Date(“2016-03-17”),1,173.198,1,173.20],[new Date(“2016-03-18”),1,164.228,1,164.23],[new Date(“2016-03-19”),1,162.468,1,162.47],[new Date(“2016-03-20”),1,163.058,1,163.06],[new Date(“2016-03-21”),1,162.977,1,162.98],[new Date(“2016-03-22”),1,157.665,1,157.66],[new Date(“2016-03-23”),1,162.508,1,162.51],[new Date(“2016-03-24”),1,165.392,1,165.39],[new Date(“2016-03-25”),1,168.770,1,168.77],[new Date(“2016-03-26”),1,169.272,1,169.27],[new Date(“2016-03-27”),1,169.318,1,169.32],[new Date(“2016-03-28”),1,167.142,1,167.14],[new Date(“2016-03-29”),1,163.465,1,163.46],[new Date(“2016-03-30”),1,153.182,1,153.18],[new Date(“2016-03-31″),1,145.645,1,145.65],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2016

01      1,202.7300
02      1,208.5617
↘5.832, 0.48%
03      1,209.7866
↘1.225, 0.10%
04      1,202.6833
↗7.103, 0.59%
05      1,199.5333
↗3.150, 0.26%
06      1,200.4883
↘0.955, 0.08%
07      1,203.3517
↘2.863, 0.24%
08      1,204.7650
↘1.413, 0.12%
09      1,204.7400
↗0.025, 0.00%
10      1,197.4233
↗7.317, 0.61%
11      1,199.3883
↘1.965, 0.16%
12      1,205.9700
↘6.582, 0.55%
13      1,208.5267
↘2.557, 0.21%
14      1,208.7367
↘0.210, 0.02%
15      1,210.4750
↘1.738, 0.14%
16      1,215.0533
↘4.578, 0.38%
17      1,223.1700
↘8.117, 0.67%
18      1,227.0100
↘3.840, 0.31%
19      1,232.2933
↘5.283, 0.43%
20      1,233.9850
↘1.692, 0.14%
21      1,233.4100
↗0.575, 0.05%
22      1,231.1716
↗2.238, 0.18%
23      1,230.9617
↗0.210, 0.02%
24      1,232.4233
↘1.462, 0.12%
25      1,236.3800
↘3.957, 0.32%
26      1,239.6500
↘3.270, 0.26%
27      1,239.6500
→0.000, 0.00%
28      1,241.9184
↘2.268, 0.18%
29      1,240.0833
↗1.835, 0.15%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-02-01”),1,202.730,1,202.73],[new Date(“2016-02-02”),1,208.562,1,208.56],[new Date(“2016-02-03”),1,209.787,1,209.79],[new Date(“2016-02-04”),1,202.683,1,202.68],[new Date(“2016-02-05”),1,199.533,1,199.53],[new Date(“2016-02-06”),1,200.488,1,200.49],[new Date(“2016-02-07”),1,203.352,1,203.35],[new Date(“2016-02-08”),1,204.765,1,204.76],[new Date(“2016-02-09”),1,204.740,1,204.74],[new Date(“2016-02-10”),1,197.423,1,197.42],[new Date(“2016-02-11”),1,199.388,1,199.39],[new Date(“2016-02-12”),1,205.970,1,205.97],[new Date(“2016-02-13”),1,208.527,1,208.53],[new Date(“2016-02-14”),1,208.737,1,208.74],[new Date(“2016-02-15”),1,210.475,1,210.47],[new Date(“2016-02-16”),1,215.053,1,215.05],[new Date(“2016-02-17”),1,223.170,1,223.17],[new Date(“2016-02-18”),1,227.010,1,227.01],[new Date(“2016-02-19”),1,232.293,1,232.29],[new Date(“2016-02-20”),1,233.985,1,233.98],[new Date(“2016-02-21”),1,233.410,1,233.41],[new Date(“2016-02-22”),1,231.172,1,231.17],[new Date(“2016-02-23”),1,230.962,1,230.96],[new Date(“2016-02-24”),1,232.423,1,232.42],[new Date(“2016-02-25”),1,236.380,1,236.38],[new Date(“2016-02-26”),1,239.650,1,239.65],[new Date(“2016-02-27”),1,239.650,1,239.65],[new Date(“2016-02-28”),1,241.918,1,241.92],[new Date(“2016-02-29″),1,240.083,1,240.08],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2016

01      1,175.2166
02      1,174.8017
↗0.415, 0.04%
03      1,176.0517
↘1.250, 0.11%
04      1,185.7950
↘9.743, 0.83%
05      1,188.0267
↘2.232, 0.19%
06      1,195.5433
↘7.517, 0.63%
07      1,198.5933
↘3.050, 0.26%
08      1,201.6150
↘3.022, 0.25%
09      1,202.6483
↘1.033, 0.09%
10      1,200.4067
↗2.242, 0.19%
11      1,203.0500
↘2.643, 0.22%
12      1,208.6467
↘5.597, 0.47%
13      1,208.1150
↗0.532, 0.04%
14      1,209.2833
↘1.168, 0.10%
15      1,213.5633
↘4.280, 0.35%
16      1,214.1783
↘0.615, 0.05%
17      1,214.0050
↗0.173, 0.01%
18      1,211.3450
↗2.660, 0.22%
19      1,208.4150
↗2.930, 0.24%
20      1,210.1600
↘1.745, 0.14%
21      1,210.4450
↘0.285, 0.02%
22      1,203.8125
↗6.632, 0.55%
23      1,198.8050
↗5.007, 0.42%
24      1,198.8900
↘0.085, 0.01%
25      1,197.1750
↗1.715, 0.14%
26      1,198.2100
↘1.035, 0.09%
27      1,204.0183
↘5.808, 0.48%
28      1,206.1583
↘2.140, 0.18%
29      1,204.8683
↗1.290, 0.11%
30      1,204.9183
↘0.050, 0.00%
31      1,204.3800
↗0.538, 0.04%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-01-01”),1,175.217,1,175.22],[new Date(“2016-01-02”),1,174.802,1,174.80],[new Date(“2016-01-03”),1,176.052,1,176.05],[new Date(“2016-01-04”),1,185.795,1,185.80],[new Date(“2016-01-05”),1,188.027,1,188.03],[new Date(“2016-01-06”),1,195.543,1,195.54],[new Date(“2016-01-07”),1,198.593,1,198.59],[new Date(“2016-01-08”),1,201.615,1,201.62],[new Date(“2016-01-09”),1,202.648,1,202.65],[new Date(“2016-01-10”),1,200.407,1,200.41],[new Date(“2016-01-11”),1,203.050,1,203.05],[new Date(“2016-01-12”),1,208.647,1,208.65],[new Date(“2016-01-13”),1,208.115,1,208.11],[new Date(“2016-01-14”),1,209.283,1,209.28],[new Date(“2016-01-15”),1,213.563,1,213.56],[new Date(“2016-01-16”),1,214.178,1,214.18],[new Date(“2016-01-17”),1,214.005,1,214.01],[new Date(“2016-01-18”),1,211.345,1,211.34],[new Date(“2016-01-19”),1,208.415,1,208.42],[new Date(“2016-01-20”),1,210.160,1,210.16],[new Date(“2016-01-21”),1,210.445,1,210.44],[new Date(“2016-01-22”),1,203.813,1,203.81],[new Date(“2016-01-23”),1,198.805,1,198.81],[new Date(“2016-01-24”),1,198.890,1,198.89],[new Date(“2016-01-25”),1,197.175,1,197.18],[new Date(“2016-01-26”),1,198.210,1,198.21],[new Date(“2016-01-27”),1,204.018,1,204.02],[new Date(“2016-01-28”),1,206.158,1,206.16],[new Date(“2016-01-29”),1,204.868,1,204.87],[new Date(“2016-01-30”),1,204.918,1,204.92],[new Date(“2016-01-31″),1,204.380,1,204.38],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}