Myanma Kyat MMK 2016 Conversion Rates

  • Opening Value is 1309.562500 MMK per Dollar
  • Closing Value is 1362.000346 MMK per Dollar
  • Change in Value during 2016 is 52.4378 which is 4.00%
  • Best Performance is on 2016-04-25 with 1163.500000 MMK per Dollar
  • Lowest Performance is on 2016-12-22 with 1381.000379 MMK per Dollar
  • Average Value is 1,234.7799 MMK per Dollar
  • Swing Between the higest and the lowest is 217.5004 per Dollar, that is 16.61% compared to the opening value.

USD to MMK Conversion Rates – 12 months

Date 1 USD =
2016-12-31 1,362.0003 MMK
2016-11-30 1,317.0001 MMK
2016-10-31 1,285.9999 MMK
2016-09-30 1,262.0003 MMK
2016-08-31 1,207.9997 MMK
2016-07-31 1,181.9998 MMK
2016-06-30 1,177.5250 MMK
2016-05-31 1,186.8850 MMK
2016-04-30 1,170.3275 MMK
2016-03-31 1,206.7000 MMK
2016-02-29 1,236.4500 MMK
2016-01-31 1,301.4250 MMK
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”),1,362.000,1,362.00],[new Date(“2016-11-30”),1,317.000,1,317.00],[new Date(“2016-10-31”),1,286.000,1,286.00],[new Date(“2016-09-30”),1,262.000,1,262.00],[new Date(“2016-08-31”),1,208.000,1,208.00],[new Date(“2016-07-31”),1,182.000,1,182.00],[new Date(“2016-06-30”),1,177.525,1,177.53],[new Date(“2016-05-31”),1,186.885,1,186.89],[new Date(“2016-04-30”),1,170.327,1,170.33],[new Date(“2016-03-31”),1,206.700,1,206.70],[new Date(“2016-02-29”),1,236.450,1,236.45],[new Date(“2016-01-31”),1,301.425,1,301.42],]);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      1,317.0003
02      1,318.0003
↘1.000, 0.08%
03      1,318.0003
→0.000, 0.00%
04      1,317.9998
↗0.001, 0.00%
05      1,312.9998
↗5.000, 0.38%
06      1,318.9999
↘6.000, 0.46%
07      1,325.0005
↘6.001, 0.45%
08      1,329.9999
↘4.999, 0.38%
09      1,327.0003
↗3.000, 0.23%
10      1,327.0003
→0.000, 0.00%
11      1,326.9998
↗0.001, 0.00%
12      1,327.0002
↘0.000, 0.00%
13      1,329.0004
↘2.000, 0.15%
14      1,347.0000
↘18.000, 1.35%
15      1,318.0002
↗29.000, 2.15%
16      1,364.0003
↘46.000, 3.49%
17      1,364.0003
→0.000, 0.00%
18      1,363.9999
↗0.000, 0.00%
19      1,377.9999
↘14.000, 1.03%
20      1,372.9998
↗5.000, 0.36%
21      1,374.0000
↘1.000, 0.07%
22      1,381.0004
↘7.000, 0.51%
23      1,367.0003
↗14.000, 1.01%
24      1,367.0003
→0.000, 0.00%
25      1,367.0003
↗0.000, 0.00%
26      1,364.0004
↗3.000, 0.22%
27      1,369.9998
↘5.999, 0.44%
28      1,363.0000
↗7.000, 0.51%
29      1,362.9999
↗0.000, 0.00%
30      1,362.0003
↗1.000, 0.07%
31      1,362.0003
→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”),1,317.000,1,317.00],[new Date(“2016-12-02”),1,318.000,1,318.00],[new Date(“2016-12-03”),1,318.000,1,318.00],[new Date(“2016-12-04”),1,318.000,1,318.00],[new Date(“2016-12-05”),1,313.000,1,313.00],[new Date(“2016-12-06”),1,319.000,1,319.00],[new Date(“2016-12-07”),1,325.000,1,325.00],[new Date(“2016-12-08”),1,330.000,1,330.00],[new Date(“2016-12-09”),1,327.000,1,327.00],[new Date(“2016-12-10”),1,327.000,1,327.00],[new Date(“2016-12-11”),1,327.000,1,327.00],[new Date(“2016-12-12”),1,327.000,1,327.00],[new Date(“2016-12-13”),1,329.000,1,329.00],[new Date(“2016-12-14”),1,347.000,1,347.00],[new Date(“2016-12-15”),1,318.000,1,318.00],[new Date(“2016-12-16”),1,364.000,1,364.00],[new Date(“2016-12-17”),1,364.000,1,364.00],[new Date(“2016-12-18”),1,364.000,1,364.00],[new Date(“2016-12-19”),1,378.000,1,378.00],[new Date(“2016-12-20”),1,373.000,1,373.00],[new Date(“2016-12-21”),1,374.000,1,374.00],[new Date(“2016-12-22”),1,381.000,1,381.00],[new Date(“2016-12-23”),1,367.000,1,367.00],[new Date(“2016-12-24”),1,367.000,1,367.00],[new Date(“2016-12-25”),1,367.000,1,367.00],[new Date(“2016-12-26”),1,364.000,1,364.00],[new Date(“2016-12-27”),1,370.000,1,370.00],[new Date(“2016-12-28”),1,363.000,1,363.00],[new Date(“2016-12-29”),1,363.000,1,363.00],[new Date(“2016-12-30”),1,362.000,1,362.00],[new Date(“2016-12-31″),1,362.000,1,362.00],]);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      1,288.0001
02      1,285.0001
↗3.000, 0.23%
03      1,284.0000
↗1.000, 0.08%
04      1,276.0003
↗8.000, 0.62%
05      1,276.0003
→0.000, 0.00%
06      1,276.0005
↘0.000, 0.00%
07      1,275.0002
↗1.000, 0.08%
08      1,288.9999
↘14.000, 1.10%
09      1,283.0001
↗6.000, 0.47%
10      1,287.9999
↘5.000, 0.39%
11      1,290.0003
↘2.000, 0.16%
12      1,290.0003
→0.000, 0.00%
13      1,290.0002
↗0.000, 0.00%
14      1,290.0002
↘0.000, 0.00%
15      1,293.9998
↘4.000, 0.31%
16      1,295.0005
↘1.001, 0.08%
17      1,299.0003
↘4.000, 0.31%
18      1,300.0003
↘1.000, 0.08%
19      1,300.0003
→0.000, 0.00%
20      1,300.0002
↗0.000, 0.00%
21      1,304.0003
↘4.000, 0.31%
22      1,309.0003
↘5.000, 0.38%
23      1,313.0003
↘4.000, 0.31%
24      1,312.9999
↗0.000, 0.00%
25      1,314.0003
↘1.000, 0.08%
26      1,314.0003
→0.000, 0.00%
27      1,314.0001
↗0.000, 0.00%
28      1,313.9998
↗0.000, 0.00%
29      1,312.9999
↗1.000, 0.08%
30      1,317.0001
↘4.000, 0.30%
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”),1,288.000,1,288.00],[new Date(“2016-11-02”),1,285.000,1,285.00],[new Date(“2016-11-03”),1,284.000,1,284.00],[new Date(“2016-11-04”),1,276.000,1,276.00],[new Date(“2016-11-05”),1,276.000,1,276.00],[new Date(“2016-11-06”),1,276.001,1,276.00],[new Date(“2016-11-07”),1,275.000,1,275.00],[new Date(“2016-11-08”),1,289.000,1,289.00],[new Date(“2016-11-09”),1,283.000,1,283.00],[new Date(“2016-11-10”),1,288.000,1,288.00],[new Date(“2016-11-11”),1,290.000,1,290.00],[new Date(“2016-11-12”),1,290.000,1,290.00],[new Date(“2016-11-13”),1,290.000,1,290.00],[new Date(“2016-11-14”),1,290.000,1,290.00],[new Date(“2016-11-15”),1,294.000,1,294.00],[new Date(“2016-11-16”),1,295.000,1,295.00],[new Date(“2016-11-17”),1,299.000,1,299.00],[new Date(“2016-11-18”),1,300.000,1,300.00],[new Date(“2016-11-19”),1,300.000,1,300.00],[new Date(“2016-11-20”),1,300.000,1,300.00],[new Date(“2016-11-21”),1,304.000,1,304.00],[new Date(“2016-11-22”),1,309.000,1,309.00],[new Date(“2016-11-23”),1,313.000,1,313.00],[new Date(“2016-11-24”),1,313.000,1,313.00],[new Date(“2016-11-25”),1,314.000,1,314.00],[new Date(“2016-11-26”),1,314.000,1,314.00],[new Date(“2016-11-27”),1,314.000,1,314.00],[new Date(“2016-11-28”),1,314.000,1,314.00],[new Date(“2016-11-29”),1,313.000,1,313.00],[new Date(“2016-11-30″),1,317.000,1,317.00],]);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      1,262.0003
02      1,262.0003
↗0.000, 0.00%
03      1,265.0002
↘3.000, 0.24%
04      1,268.9999
↘4.000, 0.32%
05      1,269.0003
↘0.000, 0.00%
06      1,267.9999
↗1.000, 0.08%
07      1,266.0003
↗2.000, 0.16%
08      1,266.0003
→0.000, 0.00%
09      1,266.0005
↘0.000, 0.00%
10      1,244.9999
↗21.001, 1.66%
11      1,248.0002
↘3.000, 0.24%
12      1,248.0002
↘0.000, 0.00%
13      1,262.9999
↘15.000, 1.20%
14      1,277.0003
↘14.000, 1.11%
15      1,277.0003
→0.000, 0.00%
16      1,276.9998
↗0.001, 0.00%
17      1,266.9998
↗10.000, 0.78%
18      1,268.0003
↘1.001, 0.08%
19      1,285.0006
↘17.000, 1.34%
20      1,279.9997
↗5.001, 0.39%
21      1,284.0003
↘4.001, 0.31%
22      1,284.0003
→0.000, 0.00%
23      1,283.9998
↗0.001, 0.00%
24      1,280.0000
↗4.000, 0.31%
25      1,288.0004
↘8.000, 0.63%
26      1,290.0003
↘2.000, 0.16%
27      1,285.0002
↗5.000, 0.39%
28      1,286.0003
↘1.000, 0.08%
29      1,286.0003
→0.000, 0.00%
30      1,285.9999
↗0.000, 0.00%
31      1,285.9999
↘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(“2016-10-01”),1,262.000,1,262.00],[new Date(“2016-10-02”),1,262.000,1,262.00],[new Date(“2016-10-03”),1,265.000,1,265.00],[new Date(“2016-10-04”),1,269.000,1,269.00],[new Date(“2016-10-05”),1,269.000,1,269.00],[new Date(“2016-10-06”),1,268.000,1,268.00],[new Date(“2016-10-07”),1,266.000,1,266.00],[new Date(“2016-10-08”),1,266.000,1,266.00],[new Date(“2016-10-09”),1,266.000,1,266.00],[new Date(“2016-10-10”),1,245.000,1,245.00],[new Date(“2016-10-11”),1,248.000,1,248.00],[new Date(“2016-10-12”),1,248.000,1,248.00],[new Date(“2016-10-13”),1,263.000,1,263.00],[new Date(“2016-10-14”),1,277.000,1,277.00],[new Date(“2016-10-15”),1,277.000,1,277.00],[new Date(“2016-10-16”),1,277.000,1,277.00],[new Date(“2016-10-17”),1,267.000,1,267.00],[new Date(“2016-10-18”),1,268.000,1,268.00],[new Date(“2016-10-19”),1,285.001,1,285.00],[new Date(“2016-10-20”),1,280.000,1,280.00],[new Date(“2016-10-21”),1,284.000,1,284.00],[new Date(“2016-10-22”),1,284.000,1,284.00],[new Date(“2016-10-23”),1,284.000,1,284.00],[new Date(“2016-10-24”),1,280.000,1,280.00],[new Date(“2016-10-25”),1,288.000,1,288.00],[new Date(“2016-10-26”),1,290.000,1,290.00],[new Date(“2016-10-27”),1,285.000,1,285.00],[new Date(“2016-10-28”),1,286.000,1,286.00],[new Date(“2016-10-29”),1,286.000,1,286.00],[new Date(“2016-10-30”),1,286.000,1,286.00],[new Date(“2016-10-31″),1,286.000,1,286.00],]);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      1,207.9998
02      1,210.0003
↘2.001, 0.17%
03      1,210.0003
→0.000, 0.00%
04      1,184.0000
↗26.000, 2.15%
05      1,183.9999
↗0.000, 0.00%
06      1,215.0002
↘31.000, 2.62%
07      1,217.0000
↘2.000, 0.16%
08      1,220.0001
↘3.000, 0.25%
09      1,220.0003
↘0.000, 0.00%
10      1,220.0003
→0.000, 0.00%
11      1,219.9999
↗0.000, 0.00%
12      1,214.9998
↗5.000, 0.41%
13      1,214.9998
↗0.000, 0.00%
14      1,215.9999
↘1.000, 0.08%
15      1,219.0003
↘3.000, 0.25%
16      1,228.0003
↘9.000, 0.74%
17      1,228.0003
→0.000, 0.00%
18      1,227.9998
↗0.001, 0.00%
19      1,240.0003
↘12.001, 0.98%
20      1,252.0001
↘12.000, 0.97%
21      1,254.9998
↘3.000, 0.24%
22      1,231.9997
↗23.000, 1.83%
23      1,240.0003
↘8.001, 0.65%
24      1,240.0003
→0.000, 0.00%
25      1,240.0001
↗0.000, 0.00%
26      1,243.0000
↘3.000, 0.24%
27      1,249.0000
↘6.000, 0.48%
28      1,253.0000
↘4.000, 0.32%
29      1,254.0001
↘1.000, 0.08%
30      1,262.0003
↘8.000, 0.64%
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”),1,208.000,1,208.00],[new Date(“2016-09-02”),1,210.000,1,210.00],[new Date(“2016-09-03”),1,210.000,1,210.00],[new Date(“2016-09-04”),1,184.000,1,184.00],[new Date(“2016-09-05”),1,184.000,1,184.00],[new Date(“2016-09-06”),1,215.000,1,215.00],[new Date(“2016-09-07”),1,217.000,1,217.00],[new Date(“2016-09-08”),1,220.000,1,220.00],[new Date(“2016-09-09”),1,220.000,1,220.00],[new Date(“2016-09-10”),1,220.000,1,220.00],[new Date(“2016-09-11”),1,220.000,1,220.00],[new Date(“2016-09-12”),1,215.000,1,215.00],[new Date(“2016-09-13”),1,215.000,1,215.00],[new Date(“2016-09-14”),1,216.000,1,216.00],[new Date(“2016-09-15”),1,219.000,1,219.00],[new Date(“2016-09-16”),1,228.000,1,228.00],[new Date(“2016-09-17”),1,228.000,1,228.00],[new Date(“2016-09-18”),1,228.000,1,228.00],[new Date(“2016-09-19”),1,240.000,1,240.00],[new Date(“2016-09-20”),1,252.000,1,252.00],[new Date(“2016-09-21”),1,255.000,1,255.00],[new Date(“2016-09-22”),1,232.000,1,232.00],[new Date(“2016-09-23”),1,240.000,1,240.00],[new Date(“2016-09-24”),1,240.000,1,240.00],[new Date(“2016-09-25”),1,240.000,1,240.00],[new Date(“2016-09-26”),1,243.000,1,243.00],[new Date(“2016-09-27”),1,249.000,1,249.00],[new Date(“2016-09-28”),1,253.000,1,253.00],[new Date(“2016-09-29”),1,254.000,1,254.00],[new Date(“2016-09-30″),1,262.000,1,262.00],]);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      1,182.9997
02      1,184.0000
↘1.000, 0.08%
03      1,181.0001
↗3.000, 0.25%
04      1,184.0002
↘3.000, 0.25%
05      1,182.0003
↗2.000, 0.17%
06      1,182.0003
→0.000, 0.00%
07      1,181.9998
↗0.001, 0.00%
08      1,182.9998
↘1.000, 0.08%
09      1,182.9998
↗0.000, 0.00%
10      1,185.0003
↘2.000, 0.17%
11      1,179.0003
↗6.000, 0.51%
12      1,185.0003
↘6.000, 0.51%
13      1,185.0003
→0.000, 0.00%
14      1,185.0003
↗0.000, 0.00%
15      1,189.9998
↘4.999, 0.42%
16      1,188.9998
↗1.000, 0.08%
17      1,187.0000
↗2.000, 0.17%
18      1,189.0002
↘2.000, 0.17%
19      1,193.0003
↘4.000, 0.34%
20      1,193.0003
→0.000, 0.00%
21      1,193.0000
↗0.000, 0.00%
22      1,190.0000
↗3.000, 0.25%
23      1,199.0003
↘9.000, 0.76%
24      1,210.0003
↘11.000, 0.92%
25      1,194.9997
↗15.001, 1.24%
26      1,206.0003
↘11.001, 0.92%
27      1,206.0003
→0.000, 0.00%
28      1,205.9998
↗0.001, 0.00%
29      1,204.0003
↗2.000, 0.17%
30      1,204.0004
↘0.000, 0.00%
31      1,207.9997
↘3.999, 0.33%
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”),1,183.000,1,183.00],[new Date(“2016-08-02”),1,184.000,1,184.00],[new Date(“2016-08-03”),1,181.000,1,181.00],[new Date(“2016-08-04”),1,184.000,1,184.00],[new Date(“2016-08-05”),1,182.000,1,182.00],[new Date(“2016-08-06”),1,182.000,1,182.00],[new Date(“2016-08-07”),1,182.000,1,182.00],[new Date(“2016-08-08”),1,183.000,1,183.00],[new Date(“2016-08-09”),1,183.000,1,183.00],[new Date(“2016-08-10”),1,185.000,1,185.00],[new Date(“2016-08-11”),1,179.000,1,179.00],[new Date(“2016-08-12”),1,185.000,1,185.00],[new Date(“2016-08-13”),1,185.000,1,185.00],[new Date(“2016-08-14”),1,185.000,1,185.00],[new Date(“2016-08-15”),1,190.000,1,190.00],[new Date(“2016-08-16”),1,189.000,1,189.00],[new Date(“2016-08-17”),1,187.000,1,187.00],[new Date(“2016-08-18”),1,189.000,1,189.00],[new Date(“2016-08-19”),1,193.000,1,193.00],[new Date(“2016-08-20”),1,193.000,1,193.00],[new Date(“2016-08-21”),1,193.000,1,193.00],[new Date(“2016-08-22”),1,190.000,1,190.00],[new Date(“2016-08-23”),1,199.000,1,199.00],[new Date(“2016-08-24”),1,210.000,1,210.00],[new Date(“2016-08-25”),1,195.000,1,195.00],[new Date(“2016-08-26”),1,206.000,1,206.00],[new Date(“2016-08-27”),1,206.000,1,206.00],[new Date(“2016-08-28”),1,206.000,1,206.00],[new Date(“2016-08-29”),1,204.000,1,204.00],[new Date(“2016-08-30”),1,204.000,1,204.00],[new Date(“2016-08-31″),1,208.000,1,208.00],]);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      1,173.3025
02      1,174.2575
↘0.955, 0.08%
03      1,171.9250
↗2.332, 0.20%
04      1,171.9250
→0.000, 0.00%
05      1,170.1750
↗1.750, 0.15%
06      1,167.9775
↗2.197, 0.19%
07      1,168.8400
↘0.862, 0.07%
08      1,168.4950
↗0.345, 0.03%
09      1,170.7850
↘2.290, 0.20%
10      1,172.2500
↘1.465, 0.13%
11      1,173.2500
↘1.000, 0.09%
12      1,176.4400
↘3.190, 0.27%
13      1,177.4750
↘1.035, 0.09%
14      1,177.3600
↗0.115, 0.01%
15      1,174.0003
↗3.360, 0.29%
16      1,174.0003
→0.000, 0.00%
17      1,174.0000
↗0.000, 0.00%
18      1,181.9997
↘8.000, 0.68%
19      1,182.0002
↘0.001, 0.00%
20      1,179.0002
↗3.000, 0.25%
21      1,188.0000
↘9.000, 0.76%
22      1,180.0003
↗8.000, 0.67%
23      1,180.0003
→0.000, 0.00%
24      1,180.0004
↘0.000, 0.00%
25      1,180.0002
↗0.000, 0.00%
26      1,188.9998
↘9.000, 0.76%
27      1,183.9999
↗5.000, 0.42%
28      1,185.0006
↘1.001, 0.08%
29      1,182.0003
↗3.000, 0.25%
30      1,182.0003
→0.000, 0.00%
31      1,181.9998
↗0.001, 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”),1,173.303,1,173.30],[new Date(“2016-07-02”),1,174.258,1,174.26],[new Date(“2016-07-03”),1,171.925,1,171.93],[new Date(“2016-07-04”),1,171.925,1,171.93],[new Date(“2016-07-05”),1,170.175,1,170.18],[new Date(“2016-07-06”),1,167.978,1,167.98],[new Date(“2016-07-07”),1,168.840,1,168.84],[new Date(“2016-07-08”),1,168.495,1,168.50],[new Date(“2016-07-09”),1,170.785,1,170.79],[new Date(“2016-07-10”),1,172.250,1,172.25],[new Date(“2016-07-11”),1,173.250,1,173.25],[new Date(“2016-07-12”),1,176.440,1,176.44],[new Date(“2016-07-13”),1,177.475,1,177.48],[new Date(“2016-07-14”),1,177.360,1,177.36],[new Date(“2016-07-15”),1,174.000,1,174.00],[new Date(“2016-07-16”),1,174.000,1,174.00],[new Date(“2016-07-17”),1,174.000,1,174.00],[new Date(“2016-07-18”),1,182.000,1,182.00],[new Date(“2016-07-19”),1,182.000,1,182.00],[new Date(“2016-07-20”),1,179.000,1,179.00],[new Date(“2016-07-21”),1,188.000,1,188.00],[new Date(“2016-07-22”),1,180.000,1,180.00],[new Date(“2016-07-23”),1,180.000,1,180.00],[new Date(“2016-07-24”),1,180.000,1,180.00],[new Date(“2016-07-25”),1,180.000,1,180.00],[new Date(“2016-07-26”),1,189.000,1,189.00],[new Date(“2016-07-27”),1,184.000,1,184.00],[new Date(“2016-07-28”),1,185.001,1,185.00],[new Date(“2016-07-29”),1,182.000,1,182.00],[new Date(“2016-07-30”),1,182.000,1,182.00],[new Date(“2016-07-31″),1,182.000,1,182.00],]);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      1,187.1450
02      1,193.4150
↘6.270, 0.53%
03      1,189.2225
↗4.193, 0.35%
04      1,191.2400
↘2.017, 0.17%
05      1,195.8900
↘4.650, 0.39%
06      1,193.4000
↗2.490, 0.21%
07      1,186.2050
↗7.195, 0.60%
08      1,192.3975
↘6.193, 0.52%
09      1,187.5950
↗4.803, 0.40%
10      1,192.5750
↘4.980, 0.42%
11      1,194.0400
↘1.465, 0.12%
12      1,191.1500
↗2.890, 0.24%
13      1,189.0750
↗2.075, 0.17%
14      1,192.0050
↘2.930, 0.25%
15      1,188.7125
↗3.293, 0.28%
16      1,188.6725
↗0.040, 0.00%
17      1,186.2150
↗2.458, 0.21%
18      1,184.3850
↗1.830, 0.15%
19      1,184.2500
↗0.135, 0.01%
20      1,184.9000
↘0.650, 0.05%
21      1,184.9375
↘0.037, 0.00%
22      1,191.9250
↘6.988, 0.59%
23      1,190.8400
↗1.085, 0.09%
24      1,175.6750
↗15.165, 1.27%
25      1,179.9250
↘4.250, 0.36%
26      1,180.2300
↘0.305, 0.03%
27      1,174.8500
↗5.380, 0.46%
28      1,182.0350
↘7.185, 0.61%
29      1,182.2175
↘0.182, 0.02%
30      1,177.5250
↗4.692, 0.40%
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”),1,187.145,1,187.14],[new Date(“2016-06-02”),1,193.415,1,193.42],[new Date(“2016-06-03”),1,189.223,1,189.22],[new Date(“2016-06-04”),1,191.240,1,191.24],[new Date(“2016-06-05”),1,195.890,1,195.89],[new Date(“2016-06-06”),1,193.400,1,193.40],[new Date(“2016-06-07”),1,186.205,1,186.21],[new Date(“2016-06-08”),1,192.398,1,192.40],[new Date(“2016-06-09”),1,187.595,1,187.59],[new Date(“2016-06-10”),1,192.575,1,192.57],[new Date(“2016-06-11”),1,194.040,1,194.04],[new Date(“2016-06-12”),1,191.150,1,191.15],[new Date(“2016-06-13”),1,189.075,1,189.08],[new Date(“2016-06-14”),1,192.005,1,192.01],[new Date(“2016-06-15”),1,188.712,1,188.71],[new Date(“2016-06-16”),1,188.673,1,188.67],[new Date(“2016-06-17”),1,186.215,1,186.21],[new Date(“2016-06-18”),1,184.385,1,184.38],[new Date(“2016-06-19”),1,184.250,1,184.25],[new Date(“2016-06-20”),1,184.900,1,184.90],[new Date(“2016-06-21”),1,184.937,1,184.94],[new Date(“2016-06-22”),1,191.925,1,191.93],[new Date(“2016-06-23”),1,190.840,1,190.84],[new Date(“2016-06-24”),1,175.675,1,175.67],[new Date(“2016-06-25”),1,179.925,1,179.92],[new Date(“2016-06-26”),1,180.230,1,180.23],[new Date(“2016-06-27”),1,174.850,1,174.85],[new Date(“2016-06-28”),1,182.035,1,182.04],[new Date(“2016-06-29”),1,182.217,1,182.22],[new Date(“2016-06-30″),1,177.525,1,177.53],]);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      1,168.1725
02      1,166.4500
↗1.723, 0.15%
03      1,165.4025
↗1.048, 0.09%
04      1,169.5175
↘4.115, 0.35%
05      1,173.2650
↘3.748, 0.32%
06      1,168.1900
↗5.075, 0.43%
07      1,166.8825
↗1.308, 0.11%
08      1,168.4250
↘1.543, 0.13%
09      1,165.1750
↗3.250, 0.28%
10      1,166.2450
↘1.070, 0.09%
11      1,164.9100
↗1.335, 0.11%
12      1,167.4600
↘2.550, 0.22%
13      1,165.6950
↗1.765, 0.15%
14      1,166.5300
↘0.835, 0.07%
15      1,170.1050
↘3.575, 0.31%
16      1,169.9050
↗0.200, 0.02%
17      1,169.9050
→0.000, 0.00%
18      1,170.9550
↘1.050, 0.09%
19      1,174.1550
↘3.200, 0.27%
20      1,175.8675
↘1.712, 0.15%
21      1,174.4600
↗1.407, 0.12%
22      1,173.6000
↗0.860, 0.07%
23      1,174.6500
↘1.050, 0.09%
24      1,175.4650
↘0.815, 0.07%
25      1,177.8875
↘2.423, 0.21%
26      1,180.0650
↘2.177, 0.18%
27      1,184.0250
↘3.960, 0.34%
28      1,185.3050
↘1.280, 0.11%
29      1,184.3500
↗0.955, 0.08%
30      1,188.0750
↘3.725, 0.31%
31      1,186.8850
↗1.190, 0.10%
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”),1,168.173,1,168.17],[new Date(“2016-05-02”),1,166.450,1,166.45],[new Date(“2016-05-03”),1,165.402,1,165.40],[new Date(“2016-05-04”),1,169.517,1,169.52],[new Date(“2016-05-05”),1,173.265,1,173.27],[new Date(“2016-05-06”),1,168.190,1,168.19],[new Date(“2016-05-07”),1,166.882,1,166.88],[new Date(“2016-05-08”),1,168.425,1,168.42],[new Date(“2016-05-09”),1,165.175,1,165.17],[new Date(“2016-05-10”),1,166.245,1,166.25],[new Date(“2016-05-11”),1,164.910,1,164.91],[new Date(“2016-05-12”),1,167.460,1,167.46],[new Date(“2016-05-13”),1,165.695,1,165.69],[new Date(“2016-05-14”),1,166.530,1,166.53],[new Date(“2016-05-15”),1,170.105,1,170.11],[new Date(“2016-05-16”),1,169.905,1,169.91],[new Date(“2016-05-17”),1,169.905,1,169.91],[new Date(“2016-05-18”),1,170.955,1,170.96],[new Date(“2016-05-19”),1,174.155,1,174.16],[new Date(“2016-05-20”),1,175.867,1,175.87],[new Date(“2016-05-21”),1,174.460,1,174.46],[new Date(“2016-05-22”),1,173.600,1,173.60],[new Date(“2016-05-23”),1,174.650,1,174.65],[new Date(“2016-05-24”),1,175.465,1,175.47],[new Date(“2016-05-25”),1,177.888,1,177.89],[new Date(“2016-05-26”),1,180.065,1,180.06],[new Date(“2016-05-27”),1,184.025,1,184.02],[new Date(“2016-05-28”),1,185.305,1,185.30],[new Date(“2016-05-29”),1,184.350,1,184.35],[new Date(“2016-05-30”),1,188.075,1,188.08],[new Date(“2016-05-31″),1,186.885,1,186.89],]);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      1,213.0000
02      1,214.5650
↘1.565, 0.13%
03      1,212.4000
↗2.165, 0.18%
04      1,216.3000
↘3.900, 0.32%
05      1,206.8675
↗9.433, 0.78%
06      1,196.0925
↗10.775, 0.89%
07      1,190.5800
↗5.513, 0.46%
08      1,187.3600
↗3.220, 0.27%
09      1,185.2350
↗2.125, 0.18%
10      1,183.1500
↗2.085, 0.18%
11      1,177.0750
↗6.075, 0.51%
12      1,176.8100
↗0.265, 0.02%
13      1,179.9325
↘3.123, 0.27%
14      1,179.1700
↗0.763, 0.06%
15      1,179.1300
↗0.040, 0.00%
16      1,178.4825
↗0.647, 0.05%
17      1,176.3000
↗2.183, 0.19%
18      1,178.3750
↘2.075, 0.18%
19      1,178.3450
↗0.030, 0.00%
20      1,177.7250
↗0.620, 0.05%
21      1,181.6000
↘3.875, 0.33%
22      1,172.5175
↗9.082, 0.77%
23      1,167.7450
↗4.773, 0.41%
24      1,174.9750
↘7.230, 0.62%
25      1,163.5000
↗11.475, 0.98%
26      1,163.8925
↘0.393, 0.03%
27      1,164.1850
↘0.293, 0.03%
28      1,168.5200
↘4.335, 0.37%
29      1,170.6450
↘2.125, 0.18%
30      1,170.3275
↗0.317, 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”),1,213.000,1,213.00],[new Date(“2016-04-02”),1,214.565,1,214.57],[new Date(“2016-04-03”),1,212.400,1,212.40],[new Date(“2016-04-04”),1,216.300,1,216.30],[new Date(“2016-04-05”),1,206.867,1,206.87],[new Date(“2016-04-06”),1,196.093,1,196.09],[new Date(“2016-04-07”),1,190.580,1,190.58],[new Date(“2016-04-08”),1,187.360,1,187.36],[new Date(“2016-04-09”),1,185.235,1,185.24],[new Date(“2016-04-10”),1,183.150,1,183.15],[new Date(“2016-04-11”),1,177.075,1,177.08],[new Date(“2016-04-12”),1,176.810,1,176.81],[new Date(“2016-04-13”),1,179.933,1,179.93],[new Date(“2016-04-14”),1,179.170,1,179.17],[new Date(“2016-04-15”),1,179.130,1,179.13],[new Date(“2016-04-16”),1,178.482,1,178.48],[new Date(“2016-04-17”),1,176.300,1,176.30],[new Date(“2016-04-18”),1,178.375,1,178.38],[new Date(“2016-04-19”),1,178.345,1,178.34],[new Date(“2016-04-20”),1,177.725,1,177.72],[new Date(“2016-04-21”),1,181.600,1,181.60],[new Date(“2016-04-22”),1,172.518,1,172.52],[new Date(“2016-04-23”),1,167.745,1,167.75],[new Date(“2016-04-24”),1,174.975,1,174.97],[new Date(“2016-04-25”),1,163.500,1,163.50],[new Date(“2016-04-26”),1,163.893,1,163.89],[new Date(“2016-04-27”),1,164.185,1,164.19],[new Date(“2016-04-28”),1,168.520,1,168.52],[new Date(“2016-04-29”),1,170.645,1,170.64],[new Date(“2016-04-30″),1,170.327,1,170.33],]);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      1,242.1225
02      1,238.5950
↗3.527, 0.28%
03      1,232.7700
↗5.825, 0.47%
04      1,229.6025
↗3.168, 0.26%
05      1,224.3575
↗5.245, 0.43%
06      1,225.8750
↘1.517, 0.12%
07      1,225.0500
↗0.825, 0.07%
08      1,231.1825
↘6.133, 0.50%
09      1,220.8975
↗10.285, 0.84%
10      1,216.4000
↗4.498, 0.37%
11      1,214.1400
↗2.260, 0.19%
12      1,207.7200
↗6.420, 0.53%
13      1,211.8000
↘4.080, 0.34%
14      1,210.3750
↗1.425, 0.12%
15      1,212.0800
↘1.705, 0.14%
16      1,213.4350
↘1.355, 0.11%
17      1,206.6650
↗6.770, 0.56%
18      1,208.6350
↘1.970, 0.16%
19      1,212.4500
↘3.815, 0.32%
20      1,212.2300
↗0.220, 0.02%
21      1,212.9250
↘0.695, 0.06%
22      1,211.8250
↗1.100, 0.09%
23      1,212.5150
↘0.690, 0.06%
24      1,211.7350
↗0.780, 0.06%
25      1,210.6250
↗1.110, 0.09%
26      1,209.4000
↗1.225, 0.10%
27      1,209.4000
↗0.000, 0.00%
28      1,209.4500
↘0.050, 0.00%
29      1,209.4700
↘0.020, 0.00%
30      1,205.5925
↗3.878, 0.32%
31      1,206.7000
↘1.108, 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(“2016-03-01”),1,242.122,1,242.12],[new Date(“2016-03-02”),1,238.595,1,238.60],[new Date(“2016-03-03”),1,232.770,1,232.77],[new Date(“2016-03-04”),1,229.602,1,229.60],[new Date(“2016-03-05”),1,224.357,1,224.36],[new Date(“2016-03-06”),1,225.875,1,225.87],[new Date(“2016-03-07”),1,225.050,1,225.05],[new Date(“2016-03-08”),1,231.183,1,231.18],[new Date(“2016-03-09”),1,220.898,1,220.90],[new Date(“2016-03-10”),1,216.400,1,216.40],[new Date(“2016-03-11”),1,214.140,1,214.14],[new Date(“2016-03-12”),1,207.720,1,207.72],[new Date(“2016-03-13”),1,211.800,1,211.80],[new Date(“2016-03-14”),1,210.375,1,210.38],[new Date(“2016-03-15”),1,212.080,1,212.08],[new Date(“2016-03-16”),1,213.435,1,213.43],[new Date(“2016-03-17”),1,206.665,1,206.67],[new Date(“2016-03-18”),1,208.635,1,208.63],[new Date(“2016-03-19”),1,212.450,1,212.45],[new Date(“2016-03-20”),1,212.230,1,212.23],[new Date(“2016-03-21”),1,212.925,1,212.92],[new Date(“2016-03-22”),1,211.825,1,211.83],[new Date(“2016-03-23”),1,212.515,1,212.52],[new Date(“2016-03-24”),1,211.735,1,211.73],[new Date(“2016-03-25”),1,210.625,1,210.63],[new Date(“2016-03-26”),1,209.400,1,209.40],[new Date(“2016-03-27”),1,209.400,1,209.40],[new Date(“2016-03-28”),1,209.450,1,209.45],[new Date(“2016-03-29”),1,209.470,1,209.47],[new Date(“2016-03-30”),1,205.592,1,205.59],[new Date(“2016-03-31″),1,206.700,1,206.70],]);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      1,296.9250
02      1,295.3675
↗1.557, 0.12%
03      1,285.3200
↗10.047, 0.78%
04      1,271.4700
↗13.850, 1.08%
05      1,265.3775
↗6.092, 0.48%
06      1,267.4250
↘2.047, 0.16%
07      1,263.5500
↗3.875, 0.31%
08      1,263.5500
→0.000, 0.00%
09      1,256.6975
↗6.853, 0.54%
10      1,239.9800
↗16.717, 1.33%
11      1,226.0750
↗13.905, 1.12%
12      1,228.7375
↘2.662, 0.22%
13      1,231.9575
↘3.220, 0.26%
14      1,232.2500
↘0.293, 0.02%
15      1,226.5250
↗5.725, 0.46%
16      1,232.7725
↘6.247, 0.51%
17      1,234.5300
↘1.757, 0.14%
18      1,235.2600
↘0.730, 0.06%
19      1,233.7200
↗1.540, 0.12%
20      1,232.3500
↗1.370, 0.11%
21      1,232.3750
↘0.025, 0.00%
22      1,234.2750
↘1.900, 0.15%
23      1,237.2075
↘2.933, 0.24%
24      1,238.6850
↘1.477, 0.12%
25      1,235.6600
↗3.025, 0.24%
26      1,235.6400
↗0.020, 0.00%
27      1,236.4125
↘0.773, 0.06%
28      1,242.1750
↘5.763, 0.47%
29      1,236.4500
↗5.725, 0.46%
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”),1,296.925,1,296.92],[new Date(“2016-02-02”),1,295.367,1,295.37],[new Date(“2016-02-03”),1,285.320,1,285.32],[new Date(“2016-02-04”),1,271.470,1,271.47],[new Date(“2016-02-05”),1,265.378,1,265.38],[new Date(“2016-02-06”),1,267.425,1,267.43],[new Date(“2016-02-07”),1,263.550,1,263.55],[new Date(“2016-02-08”),1,263.550,1,263.55],[new Date(“2016-02-09”),1,256.697,1,256.70],[new Date(“2016-02-10”),1,239.980,1,239.98],[new Date(“2016-02-11”),1,226.075,1,226.08],[new Date(“2016-02-12”),1,228.738,1,228.74],[new Date(“2016-02-13”),1,231.958,1,231.96],[new Date(“2016-02-14”),1,232.250,1,232.25],[new Date(“2016-02-15”),1,226.525,1,226.53],[new Date(“2016-02-16”),1,232.772,1,232.77],[new Date(“2016-02-17”),1,234.530,1,234.53],[new Date(“2016-02-18”),1,235.260,1,235.26],[new Date(“2016-02-19”),1,233.720,1,233.72],[new Date(“2016-02-20”),1,232.350,1,232.35],[new Date(“2016-02-21”),1,232.375,1,232.38],[new Date(“2016-02-22”),1,234.275,1,234.28],[new Date(“2016-02-23”),1,237.208,1,237.21],[new Date(“2016-02-24”),1,238.685,1,238.69],[new Date(“2016-02-25”),1,235.660,1,235.66],[new Date(“2016-02-26”),1,235.640,1,235.64],[new Date(“2016-02-27”),1,236.413,1,236.41],[new Date(“2016-02-28”),1,242.175,1,242.18],[new Date(“2016-02-29″),1,236.450,1,236.45],]);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      1,309.5625
02      1,307.3300
↗2.233, 0.17%
03      1,307.2500
↗0.080, 0.01%
04      1,305.1250
↗2.125, 0.16%
05      1,309.7100
↘4.585, 0.35%
06      1,302.5800
↗7.130, 0.54%
07      1,297.4675
↗5.112, 0.39%
08      1,294.8075
↗2.660, 0.21%
09      1,294.5850
↗0.222, 0.02%
10      1,294.1500
↗0.435, 0.03%
11      1,297.9800
↘3.830, 0.30%
12      1,298.5400
↘0.560, 0.04%
13      1,297.9725
↗0.567, 0.04%
14      1,292.3350
↗5.638, 0.43%
15      1,297.3675
↘5.032, 0.39%
16      1,302.3700
↘5.003, 0.39%
17      1,299.4250
↗2.945, 0.23%
18      1,297.9000
↗1.525, 0.12%
19      1,298.4925
↘0.592, 0.05%
20      1,294.9950
↗3.497, 0.27%
21      1,297.5625
↘2.568, 0.20%
22      1,300.5925
↘3.030, 0.23%
23      1,302.0350
↘1.442, 0.11%
24      1,302.7750
↘0.740, 0.06%
25      1,304.6500
↘1.875, 0.14%
26      1,295.7025
↗8.948, 0.69%
27      1,293.9100
↗1.793, 0.14%
28      1,294.8450
↘0.935, 0.07%
29      1,294.3425
↗0.502, 0.04%
30      1,294.9925
↘0.650, 0.05%
31      1,301.4250
↘6.432, 0.50%
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”),1,309.563,1,309.56],[new Date(“2016-01-02”),1,307.330,1,307.33],[new Date(“2016-01-03”),1,307.250,1,307.25],[new Date(“2016-01-04”),1,305.125,1,305.13],[new Date(“2016-01-05”),1,309.710,1,309.71],[new Date(“2016-01-06”),1,302.580,1,302.58],[new Date(“2016-01-07”),1,297.468,1,297.47],[new Date(“2016-01-08”),1,294.808,1,294.81],[new Date(“2016-01-09”),1,294.585,1,294.59],[new Date(“2016-01-10”),1,294.150,1,294.15],[new Date(“2016-01-11”),1,297.980,1,297.98],[new Date(“2016-01-12”),1,298.540,1,298.54],[new Date(“2016-01-13”),1,297.973,1,297.97],[new Date(“2016-01-14”),1,292.335,1,292.33],[new Date(“2016-01-15”),1,297.367,1,297.37],[new Date(“2016-01-16”),1,302.370,1,302.37],[new Date(“2016-01-17”),1,299.425,1,299.42],[new Date(“2016-01-18”),1,297.900,1,297.90],[new Date(“2016-01-19”),1,298.492,1,298.49],[new Date(“2016-01-20”),1,294.995,1,294.99],[new Date(“2016-01-21”),1,297.563,1,297.56],[new Date(“2016-01-22”),1,300.593,1,300.59],[new Date(“2016-01-23”),1,302.035,1,302.04],[new Date(“2016-01-24”),1,302.775,1,302.78],[new Date(“2016-01-25”),1,304.650,1,304.65],[new Date(“2016-01-26”),1,295.703,1,295.70],[new Date(“2016-01-27”),1,293.910,1,293.91],[new Date(“2016-01-28”),1,294.845,1,294.84],[new Date(“2016-01-29”),1,294.342,1,294.34],[new Date(“2016-01-30”),1,294.992,1,294.99],[new Date(“2016-01-31″),1,301.425,1,301.42],]);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);
}