Hong Kong Dollar HKD 2016 Conversion Rates

  • Opening Value is 7.750279 HKD per Dollar
  • Closing Value is 7.752904 HKD per Dollar
  • Change in Value during 2016 is 0.0026 which is 0.03%
  • Best Performance is on 2016-01-02 with 7.749976 HKD per Dollar
  • Lowest Performance is on 2016-01-21 with 7.818834 HKD per Dollar
  • Average Value is 7.7621 HKD per Dollar
  • Swing Between the higest and the lowest is 0.0689 per Dollar, that is 0.89% compared to the opening value.

USD to HKD Conversion Rates – 12 months

Date 1 USD =
2016-12-31 7.7529 HKD
2016-11-30 7.7558 HKD
2016-10-31 7.7549 HKD
2016-09-30 7.7532 HKD
2016-08-31 7.7564 HKD
2016-07-31 7.7581 HKD
2016-06-30 7.7591 HKD
2016-05-31 7.7705 HKD
2016-04-30 7.7583 HKD
2016-03-31 7.7560 HKD
2016-02-29 7.7766 HKD
2016-01-31 7.7826 HKD
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”),7.753,7.75],[new Date(“2016-11-30”),7.756,7.76],[new Date(“2016-10-31”),7.755,7.75],[new Date(“2016-09-30”),7.753,7.75],[new Date(“2016-08-31”),7.756,7.76],[new Date(“2016-07-31”),7.758,7.76],[new Date(“2016-06-30”),7.759,7.76],[new Date(“2016-05-31”),7.771,7.77],[new Date(“2016-04-30”),7.758,7.76],[new Date(“2016-03-31”),7.756,7.76],[new Date(“2016-02-29”),7.777,7.78],[new Date(“2016-01-31”),7.783,7.78],]);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      7.7556
02      7.7540
↗0.002, 0.02%
03      7.7540
→0.000, 0.00%
04      7.7554
↘0.001, 0.02%
05      7.7545
↗0.001, 0.01%
06      7.7553
↘0.001, 0.01%
07      7.7557
↘0.000, 0.01%
08      7.7558
↘0.000, 0.00%
09      7.7623
↘0.007, 0.08%
10      7.7623
→0.000, 0.00%
11      7.7593
↗0.003, 0.04%
12      7.7582
↗0.001, 0.01%
13      7.7544
↗0.004, 0.05%
14      7.7582
↘0.004, 0.05%
15      7.7601
↘0.002, 0.02%
16      7.7649
↘0.005, 0.06%
17      7.7649
→0.000, 0.00%
18      7.7646
↗0.000, 0.00%
19      7.7650
↘0.000, 0.01%
20      7.7647
↗0.000, 0.00%
21      7.7609
↗0.004, 0.05%
22      7.7619
↘0.001, 0.01%
23      7.7585
↗0.003, 0.04%
24      7.7573
↗0.001, 0.02%
25      7.7582
↘0.001, 0.01%
26      7.7600
↘0.002, 0.02%
27      7.7596
↗0.000, 0.01%
28      7.7571
↗0.002, 0.03%
29      7.7549
↗0.002, 0.03%
30      7.7529
↗0.002, 0.03%
31      7.7529
→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”),7.756,7.76],[new Date(“2016-12-02”),7.754,7.75],[new Date(“2016-12-03”),7.754,7.75],[new Date(“2016-12-04”),7.755,7.76],[new Date(“2016-12-05”),7.755,7.75],[new Date(“2016-12-06”),7.755,7.76],[new Date(“2016-12-07”),7.756,7.76],[new Date(“2016-12-08”),7.756,7.76],[new Date(“2016-12-09”),7.762,7.76],[new Date(“2016-12-10”),7.762,7.76],[new Date(“2016-12-11”),7.759,7.76],[new Date(“2016-12-12”),7.758,7.76],[new Date(“2016-12-13”),7.754,7.75],[new Date(“2016-12-14”),7.758,7.76],[new Date(“2016-12-15”),7.760,7.76],[new Date(“2016-12-16”),7.765,7.76],[new Date(“2016-12-17”),7.765,7.76],[new Date(“2016-12-18”),7.765,7.76],[new Date(“2016-12-19”),7.765,7.76],[new Date(“2016-12-20”),7.765,7.76],[new Date(“2016-12-21”),7.761,7.76],[new Date(“2016-12-22”),7.762,7.76],[new Date(“2016-12-23”),7.759,7.76],[new Date(“2016-12-24”),7.757,7.76],[new Date(“2016-12-25”),7.758,7.76],[new Date(“2016-12-26”),7.760,7.76],[new Date(“2016-12-27”),7.760,7.76],[new Date(“2016-12-28”),7.757,7.76],[new Date(“2016-12-29”),7.755,7.75],[new Date(“2016-12-30”),7.753,7.75],[new Date(“2016-12-31″),7.753,7.75],]);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      7.7549
02      7.7551
↘0.000, 0.00%
03      7.7550
↗0.000, 0.00%
04      7.7545
↗0.000, 0.01%
05      7.7545
→0.000, 0.00%
06      7.7556
↘0.001, 0.01%
07      7.7554
↗0.000, 0.00%
08      7.7541
↗0.001, 0.02%
09      7.7554
↘0.001, 0.02%
10      7.7561
↘0.001, 0.01%
11      7.7575
↘0.001, 0.02%
12      7.7575
→0.000, 0.00%
13      7.7580
↘0.000, 0.01%
14      7.7573
↗0.001, 0.01%
15      7.7571
↗0.000, 0.00%
16      7.7568
↗0.000, 0.00%
17      7.7572
↘0.000, 0.01%
18      7.7565
↗0.001, 0.01%
19      7.7560
↗0.000, 0.01%
20      7.7568
↘0.001, 0.01%
21      7.7559
↗0.001, 0.01%
22      7.7556
↗0.000, 0.00%
23      7.7565
↘0.001, 0.01%
24      7.7559
↗0.001, 0.01%
25      7.7560
↘0.000, 0.00%
26      7.7560
→0.000, 0.00%
27      7.7557
↗0.000, 0.00%
28      7.7556
↗0.000, 0.00%
29      7.7562
↘0.001, 0.01%
30      7.7558
↗0.000, 0.01%
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”),7.755,7.75],[new Date(“2016-11-02”),7.755,7.76],[new Date(“2016-11-03”),7.755,7.75],[new Date(“2016-11-04”),7.755,7.75],[new Date(“2016-11-05”),7.755,7.75],[new Date(“2016-11-06”),7.756,7.76],[new Date(“2016-11-07”),7.755,7.76],[new Date(“2016-11-08”),7.754,7.75],[new Date(“2016-11-09”),7.755,7.76],[new Date(“2016-11-10”),7.756,7.76],[new Date(“2016-11-11”),7.758,7.76],[new Date(“2016-11-12”),7.758,7.76],[new Date(“2016-11-13”),7.758,7.76],[new Date(“2016-11-14”),7.757,7.76],[new Date(“2016-11-15”),7.757,7.76],[new Date(“2016-11-16”),7.757,7.76],[new Date(“2016-11-17”),7.757,7.76],[new Date(“2016-11-18”),7.757,7.76],[new Date(“2016-11-19”),7.756,7.76],[new Date(“2016-11-20”),7.757,7.76],[new Date(“2016-11-21”),7.756,7.76],[new Date(“2016-11-22”),7.756,7.76],[new Date(“2016-11-23”),7.757,7.76],[new Date(“2016-11-24”),7.756,7.76],[new Date(“2016-11-25”),7.756,7.76],[new Date(“2016-11-26”),7.756,7.76],[new Date(“2016-11-27”),7.756,7.76],[new Date(“2016-11-28”),7.756,7.76],[new Date(“2016-11-29”),7.756,7.76],[new Date(“2016-11-30″),7.756,7.76],]);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      7.7532
02      7.7552
↘0.002, 0.03%
03      7.7552
↗0.000, 0.00%
04      7.7560
↘0.001, 0.01%
05      7.7569
↘0.001, 0.01%
06      7.7571
↘0.000, 0.00%
07      7.7575
↘0.000, 0.01%
08      7.7575
→0.000, 0.00%
09      7.7572
↗0.000, 0.00%
10      7.7581
↘0.001, 0.01%
11      7.7588
↘0.001, 0.01%
12      7.7571
↗0.002, 0.02%
13      7.7572
↘0.000, 0.00%
14      7.7588
↘0.002, 0.02%
15      7.7588
→0.000, 0.00%
16      7.7583
↗0.001, 0.01%
17      7.7588
↘0.001, 0.01%
18      7.7587
↗0.000, 0.00%
19      7.7581
↗0.001, 0.01%
20      7.7575
↗0.001, 0.01%
21      7.7579
↘0.000, 0.01%
22      7.7579
→0.000, 0.00%
23      7.7581
↘0.000, 0.00%
24      7.7569
↗0.001, 0.02%
25      7.7562
↗0.001, 0.01%
26      7.7562
↗0.000, 0.00%
27      7.7548
↗0.001, 0.02%
28      7.7534
↗0.001, 0.02%
29      7.7534
→0.000, 0.00%
30      7.7545
↘0.001, 0.01%
31      7.7549
↘0.000, 0.01%
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”),7.753,7.75],[new Date(“2016-10-02”),7.755,7.76],[new Date(“2016-10-03”),7.755,7.76],[new Date(“2016-10-04”),7.756,7.76],[new Date(“2016-10-05”),7.757,7.76],[new Date(“2016-10-06”),7.757,7.76],[new Date(“2016-10-07”),7.758,7.76],[new Date(“2016-10-08”),7.758,7.76],[new Date(“2016-10-09”),7.757,7.76],[new Date(“2016-10-10”),7.758,7.76],[new Date(“2016-10-11”),7.759,7.76],[new Date(“2016-10-12”),7.757,7.76],[new Date(“2016-10-13”),7.757,7.76],[new Date(“2016-10-14”),7.759,7.76],[new Date(“2016-10-15”),7.759,7.76],[new Date(“2016-10-16”),7.758,7.76],[new Date(“2016-10-17”),7.759,7.76],[new Date(“2016-10-18”),7.759,7.76],[new Date(“2016-10-19”),7.758,7.76],[new Date(“2016-10-20”),7.757,7.76],[new Date(“2016-10-21”),7.758,7.76],[new Date(“2016-10-22”),7.758,7.76],[new Date(“2016-10-23”),7.758,7.76],[new Date(“2016-10-24”),7.757,7.76],[new Date(“2016-10-25”),7.756,7.76],[new Date(“2016-10-26”),7.756,7.76],[new Date(“2016-10-27”),7.755,7.75],[new Date(“2016-10-28”),7.753,7.75],[new Date(“2016-10-29”),7.753,7.75],[new Date(“2016-10-30”),7.754,7.75],[new Date(“2016-10-31″),7.755,7.75],]);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_10’));
chart.draw(data, options);
}

September, 2016

01      7.7568
02      7.7560
↗0.001, 0.01%
03      7.7560
→0.000, 0.00%
04      7.7549
↗0.001, 0.01%
05      7.7550
↘0.000, 0.00%
06      7.7552
↘0.000, 0.00%
07      7.7551
↗0.000, 0.00%
08      7.7560
↘0.001, 0.01%
09      7.7555
↗0.000, 0.01%
10      7.7555
→0.000, 0.00%
11      7.7564
↘0.001, 0.01%
12      7.7575
↘0.001, 0.01%
13      7.7582
↘0.001, 0.01%
14      7.7577
↗0.000, 0.01%
15      7.7583
↘0.001, 0.01%
16      7.7585
↘0.000, 0.00%
17      7.7585
→0.000, 0.00%
18      7.7582
↗0.000, 0.00%
19      7.7576
↗0.001, 0.01%
20      7.7570
↗0.001, 0.01%
21      7.7550
↗0.002, 0.03%
22      7.7555
↘0.001, 0.01%
23      7.7560
↘0.001, 0.01%
24      7.7560
→0.000, 0.00%
25      7.7561
↘0.000, 0.00%
26      7.7551
↗0.001, 0.01%
27      7.7550
↗0.000, 0.00%
28      7.7538
↗0.001, 0.02%
29      7.7555
↘0.002, 0.02%
30      7.7532
↗0.002, 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(“2016-09-01”),7.757,7.76],[new Date(“2016-09-02”),7.756,7.76],[new Date(“2016-09-03”),7.756,7.76],[new Date(“2016-09-04”),7.755,7.75],[new Date(“2016-09-05”),7.755,7.76],[new Date(“2016-09-06”),7.755,7.76],[new Date(“2016-09-07”),7.755,7.76],[new Date(“2016-09-08”),7.756,7.76],[new Date(“2016-09-09”),7.756,7.76],[new Date(“2016-09-10”),7.756,7.76],[new Date(“2016-09-11”),7.756,7.76],[new Date(“2016-09-12”),7.757,7.76],[new Date(“2016-09-13”),7.758,7.76],[new Date(“2016-09-14”),7.758,7.76],[new Date(“2016-09-15”),7.758,7.76],[new Date(“2016-09-16”),7.759,7.76],[new Date(“2016-09-17”),7.759,7.76],[new Date(“2016-09-18”),7.758,7.76],[new Date(“2016-09-19”),7.758,7.76],[new Date(“2016-09-20”),7.757,7.76],[new Date(“2016-09-21”),7.755,7.75],[new Date(“2016-09-22”),7.755,7.76],[new Date(“2016-09-23”),7.756,7.76],[new Date(“2016-09-24”),7.756,7.76],[new Date(“2016-09-25”),7.756,7.76],[new Date(“2016-09-26”),7.755,7.76],[new Date(“2016-09-27”),7.755,7.75],[new Date(“2016-09-28”),7.754,7.75],[new Date(“2016-09-29”),7.755,7.76],[new Date(“2016-09-30″),7.753,7.75],]);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_9’));
chart.draw(data, options);
}

August, 2016

01      7.7604
02      7.7603
↗0.000, 0.00%
03      7.7589
↗0.001, 0.02%
04      7.7558
↗0.003, 0.04%
05      7.7547
↗0.001, 0.01%
06      7.7547
→0.000, 0.00%
07      7.7553
↘0.001, 0.01%
08      7.7567
↘0.001, 0.02%
09      7.7567
↗0.000, 0.00%
10      7.7564
↗0.000, 0.00%
11      7.7566
↘0.000, 0.00%
12      7.7560
↗0.001, 0.01%
13      7.7560
→0.000, 0.00%
14      7.7563
↘0.000, 0.00%
15      7.7563
↗0.000, 0.00%
16      7.7542
↗0.002, 0.03%
17      7.7543
↘0.000, 0.00%
18      7.7533
↗0.001, 0.01%
19      7.7530
↗0.000, 0.00%
20      7.7530
→0.000, 0.00%
21      7.7532
↘0.000, 0.00%
22      7.7536
↘0.000, 0.00%
23      7.7531
↗0.000, 0.01%
24      7.7536
↘0.001, 0.01%
25      7.7549
↘0.001, 0.02%
26      7.7555
↘0.001, 0.01%
27      7.7555
→0.000, 0.00%
28      7.7563
↘0.001, 0.01%
29      7.7554
↗0.001, 0.01%
30      7.7573
↘0.002, 0.02%
31      7.7564
↗0.001, 0.01%
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”),7.760,7.76],[new Date(“2016-08-02”),7.760,7.76],[new Date(“2016-08-03”),7.759,7.76],[new Date(“2016-08-04”),7.756,7.76],[new Date(“2016-08-05”),7.755,7.75],[new Date(“2016-08-06”),7.755,7.75],[new Date(“2016-08-07”),7.755,7.76],[new Date(“2016-08-08”),7.757,7.76],[new Date(“2016-08-09”),7.757,7.76],[new Date(“2016-08-10”),7.756,7.76],[new Date(“2016-08-11”),7.757,7.76],[new Date(“2016-08-12”),7.756,7.76],[new Date(“2016-08-13”),7.756,7.76],[new Date(“2016-08-14”),7.756,7.76],[new Date(“2016-08-15”),7.756,7.76],[new Date(“2016-08-16”),7.754,7.75],[new Date(“2016-08-17”),7.754,7.75],[new Date(“2016-08-18”),7.753,7.75],[new Date(“2016-08-19”),7.753,7.75],[new Date(“2016-08-20”),7.753,7.75],[new Date(“2016-08-21”),7.753,7.75],[new Date(“2016-08-22”),7.754,7.75],[new Date(“2016-08-23”),7.753,7.75],[new Date(“2016-08-24”),7.754,7.75],[new Date(“2016-08-25”),7.755,7.75],[new Date(“2016-08-26”),7.756,7.76],[new Date(“2016-08-27”),7.756,7.76],[new Date(“2016-08-28”),7.756,7.76],[new Date(“2016-08-29”),7.755,7.76],[new Date(“2016-08-30”),7.757,7.76],[new Date(“2016-08-31″),7.756,7.76],]);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      7.7581
02      7.7580
↗0.000, 0.00%
03      7.7583
↘0.000, 0.00%
04      7.7586
↘0.000, 0.00%
05      7.7587
↘0.000, 0.00%
06      7.7587
↗0.000, 0.00%
07      7.7585
↗0.000, 0.00%
08      7.7578
↗0.001, 0.01%
09      7.7578
↗0.000, 0.00%
10      7.7577
↗0.000, 0.00%
11      7.7580
↘0.000, 0.00%
12      7.7580
↘0.000, 0.00%
13      7.7567
↗0.001, 0.02%
14      7.7552
↗0.002, 0.02%
15      7.7540
↗0.001, 0.01%
16      7.7540
→0.000, 0.00%
17      7.7542
↘0.000, 0.00%
18      7.7543
↘0.000, 0.00%
19      7.7554
↘0.001, 0.01%
20      7.7560
↘0.001, 0.01%
21      7.7561
↘0.000, 0.00%
22      7.7560
↗0.000, 0.00%
23      7.7560
→0.000, 0.00%
24      7.7571
↘0.001, 0.01%
25      7.7564
↗0.001, 0.01%
26      7.7567
↘0.000, 0.00%
27      7.7566
↗0.000, 0.00%
28      7.7558
↗0.001, 0.01%
29      7.7565
↘0.001, 0.01%
30      7.7565
→0.000, 0.00%
31      7.7581
↘0.002, 0.02%
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”),7.758,7.76],[new Date(“2016-07-02”),7.758,7.76],[new Date(“2016-07-03”),7.758,7.76],[new Date(“2016-07-04”),7.759,7.76],[new Date(“2016-07-05”),7.759,7.76],[new Date(“2016-07-06”),7.759,7.76],[new Date(“2016-07-07”),7.759,7.76],[new Date(“2016-07-08”),7.758,7.76],[new Date(“2016-07-09”),7.758,7.76],[new Date(“2016-07-10”),7.758,7.76],[new Date(“2016-07-11”),7.758,7.76],[new Date(“2016-07-12”),7.758,7.76],[new Date(“2016-07-13”),7.757,7.76],[new Date(“2016-07-14”),7.755,7.76],[new Date(“2016-07-15”),7.754,7.75],[new Date(“2016-07-16”),7.754,7.75],[new Date(“2016-07-17”),7.754,7.75],[new Date(“2016-07-18”),7.754,7.75],[new Date(“2016-07-19”),7.755,7.76],[new Date(“2016-07-20”),7.756,7.76],[new Date(“2016-07-21”),7.756,7.76],[new Date(“2016-07-22”),7.756,7.76],[new Date(“2016-07-23”),7.756,7.76],[new Date(“2016-07-24”),7.757,7.76],[new Date(“2016-07-25”),7.756,7.76],[new Date(“2016-07-26”),7.757,7.76],[new Date(“2016-07-27”),7.757,7.76],[new Date(“2016-07-28”),7.756,7.76],[new Date(“2016-07-29”),7.757,7.76],[new Date(“2016-07-30”),7.757,7.76],[new Date(“2016-07-31″),7.758,7.76],]);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      7.7701
02      7.7706
↘0.000, 0.01%
03      7.7683
↗0.002, 0.03%
04      7.7684
↘0.000, 0.00%
05      7.7683
↗0.000, 0.00%
06      7.7679
↗0.000, 0.01%
07      7.7664
↗0.001, 0.02%
08      7.7617
↗0.005, 0.06%
09      7.7621
↘0.000, 0.01%
10      7.7626
↘0.001, 0.01%
11      7.7628
↘0.000, 0.00%
12      7.7622
↗0.001, 0.01%
13      7.7631
↘0.001, 0.01%
14      7.7614
↗0.002, 0.02%
15      7.7599
↗0.001, 0.02%
16      7.7595
↗0.000, 0.01%
17      7.7609
↘0.001, 0.02%
18      7.7609
↘0.000, 0.00%
19      7.7610
↘0.000, 0.00%
20      7.7609
↗0.000, 0.00%
21      7.7594
↗0.001, 0.02%
22      7.7581
↗0.001, 0.02%
23      7.7573
↗0.001, 0.01%
24      7.7604
↘0.003, 0.04%
25      7.7608
↘0.000, 0.00%
26      7.7610
↘0.000, 0.00%
27      7.7614
↘0.000, 0.01%
28      7.7590
↗0.002, 0.03%
29      7.7593
↘0.000, 0.00%
30      7.7591
↗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(“2016-06-01”),7.770,7.77],[new Date(“2016-06-02”),7.771,7.77],[new Date(“2016-06-03”),7.768,7.77],[new Date(“2016-06-04”),7.768,7.77],[new Date(“2016-06-05”),7.768,7.77],[new Date(“2016-06-06”),7.768,7.77],[new Date(“2016-06-07”),7.766,7.77],[new Date(“2016-06-08”),7.762,7.76],[new Date(“2016-06-09”),7.762,7.76],[new Date(“2016-06-10”),7.763,7.76],[new Date(“2016-06-11”),7.763,7.76],[new Date(“2016-06-12”),7.762,7.76],[new Date(“2016-06-13”),7.763,7.76],[new Date(“2016-06-14”),7.761,7.76],[new Date(“2016-06-15”),7.760,7.76],[new Date(“2016-06-16”),7.760,7.76],[new Date(“2016-06-17”),7.761,7.76],[new Date(“2016-06-18”),7.761,7.76],[new Date(“2016-06-19”),7.761,7.76],[new Date(“2016-06-20”),7.761,7.76],[new Date(“2016-06-21”),7.759,7.76],[new Date(“2016-06-22”),7.758,7.76],[new Date(“2016-06-23”),7.757,7.76],[new Date(“2016-06-24”),7.760,7.76],[new Date(“2016-06-25”),7.761,7.76],[new Date(“2016-06-26”),7.761,7.76],[new Date(“2016-06-27”),7.761,7.76],[new Date(“2016-06-28”),7.759,7.76],[new Date(“2016-06-29”),7.759,7.76],[new Date(“2016-06-30″),7.759,7.76],]);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      7.7574
02      7.7590
↘0.002, 0.02%
03      7.7619
↘0.003, 0.04%
04      7.7621
↘0.000, 0.00%
05      7.7617
↗0.000, 0.00%
06      7.7616
↗0.000, 0.00%
07      7.7616
↗0.000, 0.00%
08      7.7611
↗0.001, 0.01%
09      7.7636
↘0.002, 0.03%
10      7.7620
↗0.002, 0.02%
11      7.7611
↗0.001, 0.01%
12      7.7604
↗0.001, 0.01%
13      7.7630
↘0.003, 0.03%
14      7.7635
↘0.001, 0.01%
15      7.7634
↗0.000, 0.00%
16      7.7637
↘0.000, 0.00%
17      7.7632
↗0.001, 0.01%
18      7.7646
↘0.001, 0.02%
19      7.7658
↘0.001, 0.02%
20      7.7673
↘0.001, 0.02%
21      7.7673
↘0.000, 0.00%
22      7.7680
↘0.001, 0.01%
23      7.7676
↗0.000, 0.01%
24      7.7680
↘0.000, 0.01%
25      7.7661
↗0.002, 0.02%
26      7.7659
↗0.000, 0.00%
27      7.7668
↘0.001, 0.01%
28      7.7669
↘0.000, 0.00%
29      7.7665
↗0.000, 0.01%
30      7.7690
↘0.003, 0.03%
31      7.7705
↘0.001, 0.02%
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”),7.757,7.76],[new Date(“2016-05-02”),7.759,7.76],[new Date(“2016-05-03”),7.762,7.76],[new Date(“2016-05-04”),7.762,7.76],[new Date(“2016-05-05”),7.762,7.76],[new Date(“2016-05-06”),7.762,7.76],[new Date(“2016-05-07”),7.762,7.76],[new Date(“2016-05-08”),7.761,7.76],[new Date(“2016-05-09”),7.764,7.76],[new Date(“2016-05-10”),7.762,7.76],[new Date(“2016-05-11”),7.761,7.76],[new Date(“2016-05-12”),7.760,7.76],[new Date(“2016-05-13”),7.763,7.76],[new Date(“2016-05-14”),7.763,7.76],[new Date(“2016-05-15”),7.763,7.76],[new Date(“2016-05-16”),7.764,7.76],[new Date(“2016-05-17”),7.763,7.76],[new Date(“2016-05-18”),7.765,7.76],[new Date(“2016-05-19”),7.766,7.77],[new Date(“2016-05-20”),7.767,7.77],[new Date(“2016-05-21”),7.767,7.77],[new Date(“2016-05-22”),7.768,7.77],[new Date(“2016-05-23”),7.768,7.77],[new Date(“2016-05-24”),7.768,7.77],[new Date(“2016-05-25”),7.766,7.77],[new Date(“2016-05-26”),7.766,7.77],[new Date(“2016-05-27”),7.767,7.77],[new Date(“2016-05-28”),7.767,7.77],[new Date(“2016-05-29”),7.766,7.77],[new Date(“2016-05-30”),7.769,7.77],[new Date(“2016-05-31″),7.771,7.77],]);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      7.7533
02      7.7534
↘0.000, 0.00%
03      7.7548
↘0.001, 0.02%
04      7.7547
↗0.000, 0.00%
05      7.7560
↘0.001, 0.02%
06      7.7563
↘0.000, 0.00%
07      7.7593
↘0.003, 0.04%
08      7.7584
↗0.001, 0.01%
09      7.7586
↘0.000, 0.00%
10      7.7585
↗0.000, 0.00%
11      7.7551
↗0.003, 0.04%
12      7.7552
↘0.000, 0.00%
13      7.7562
↘0.001, 0.01%
14      7.7563
↘0.000, 0.00%
15      7.7558
↗0.000, 0.01%
16      7.7556
↗0.000, 0.00%
17      7.7553
↗0.000, 0.00%
18      7.7553
↘0.000, 0.00%
19      7.7554
↘0.000, 0.00%
20      7.7554
↗0.000, 0.00%
21      7.7572
↘0.002, 0.02%
22      7.7583
↘0.001, 0.01%
23      7.7584
↘0.000, 0.00%
24      7.7568
↗0.002, 0.02%
25      7.7562
↗0.001, 0.01%
26      7.7561
↗0.000, 0.00%
27      7.7566
↘0.001, 0.01%
28      7.7575
↘0.001, 0.01%
29      7.7583
↘0.001, 0.01%
30      7.7583
↘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(“2016-04-01”),7.753,7.75],[new Date(“2016-04-02”),7.753,7.75],[new Date(“2016-04-03”),7.755,7.75],[new Date(“2016-04-04”),7.755,7.75],[new Date(“2016-04-05”),7.756,7.76],[new Date(“2016-04-06”),7.756,7.76],[new Date(“2016-04-07”),7.759,7.76],[new Date(“2016-04-08”),7.758,7.76],[new Date(“2016-04-09”),7.759,7.76],[new Date(“2016-04-10”),7.759,7.76],[new Date(“2016-04-11”),7.755,7.76],[new Date(“2016-04-12”),7.755,7.76],[new Date(“2016-04-13”),7.756,7.76],[new Date(“2016-04-14”),7.756,7.76],[new Date(“2016-04-15”),7.756,7.76],[new Date(“2016-04-16”),7.756,7.76],[new Date(“2016-04-17”),7.755,7.76],[new Date(“2016-04-18”),7.755,7.76],[new Date(“2016-04-19”),7.755,7.76],[new Date(“2016-04-20”),7.755,7.76],[new Date(“2016-04-21”),7.757,7.76],[new Date(“2016-04-22”),7.758,7.76],[new Date(“2016-04-23”),7.758,7.76],[new Date(“2016-04-24”),7.757,7.76],[new Date(“2016-04-25”),7.756,7.76],[new Date(“2016-04-26”),7.756,7.76],[new Date(“2016-04-27”),7.757,7.76],[new Date(“2016-04-28”),7.757,7.76],[new Date(“2016-04-29”),7.758,7.76],[new Date(“2016-04-30″),7.758,7.76],]);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      7.7725
02      7.7737
↘0.001, 0.02%
03      7.7694
↗0.004, 0.06%
04      7.7645
↗0.005, 0.06%
05      7.7647
↘0.000, 0.00%
06      7.7643
↗0.000, 0.01%
07      7.7644
↘0.000, 0.00%
08      7.7665
↘0.002, 0.03%
09      7.7661
↗0.000, 0.00%
10      7.7645
↗0.002, 0.02%
11      7.7604
↗0.004, 0.05%
12      7.7598
↗0.001, 0.01%
13      7.7592
↗0.001, 0.01%
14      7.7588
↗0.000, 0.01%
15      7.7604
↘0.002, 0.02%
16      7.7591
↗0.001, 0.02%
17      7.7568
↗0.002, 0.03%
18      7.7556
↗0.001, 0.02%
19      7.7552
↗0.000, 0.00%
20      7.7545
↗0.001, 0.01%
21      7.7533
↗0.001, 0.02%
22      7.7545
↘0.001, 0.01%
23      7.7544
↗0.000, 0.00%
24      7.7579
↘0.003, 0.05%
25      7.7578
↗0.000, 0.00%
26      7.7578
↘0.000, 0.00%
27      7.7580
↘0.000, 0.00%
28      7.7576
↗0.000, 0.01%
29      7.7567
↗0.001, 0.01%
30      7.7542
↗0.003, 0.03%
31      7.7560
↘0.002, 0.02%
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”),7.772,7.77],[new Date(“2016-03-02”),7.774,7.77],[new Date(“2016-03-03”),7.769,7.77],[new Date(“2016-03-04”),7.764,7.76],[new Date(“2016-03-05”),7.765,7.76],[new Date(“2016-03-06”),7.764,7.76],[new Date(“2016-03-07”),7.764,7.76],[new Date(“2016-03-08”),7.767,7.77],[new Date(“2016-03-09”),7.766,7.77],[new Date(“2016-03-10”),7.764,7.76],[new Date(“2016-03-11”),7.760,7.76],[new Date(“2016-03-12”),7.760,7.76],[new Date(“2016-03-13”),7.759,7.76],[new Date(“2016-03-14”),7.759,7.76],[new Date(“2016-03-15”),7.760,7.76],[new Date(“2016-03-16”),7.759,7.76],[new Date(“2016-03-17”),7.757,7.76],[new Date(“2016-03-18”),7.756,7.76],[new Date(“2016-03-19”),7.755,7.76],[new Date(“2016-03-20”),7.755,7.75],[new Date(“2016-03-21”),7.753,7.75],[new Date(“2016-03-22”),7.754,7.75],[new Date(“2016-03-23”),7.754,7.75],[new Date(“2016-03-24”),7.758,7.76],[new Date(“2016-03-25”),7.758,7.76],[new Date(“2016-03-26”),7.758,7.76],[new Date(“2016-03-27”),7.758,7.76],[new Date(“2016-03-28”),7.758,7.76],[new Date(“2016-03-29”),7.757,7.76],[new Date(“2016-03-30”),7.754,7.75],[new Date(“2016-03-31″),7.756,7.76],]);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      7.7792
02      7.7951
↘0.016, 0.20%
03      7.7921
↗0.003, 0.04%
04      7.7908
↗0.001, 0.02%
05      7.7910
↘0.000, 0.00%
06      7.7910
↘0.000, 0.00%
07      7.7881
↗0.003, 0.04%
08      7.7917
↘0.004, 0.05%
09      7.7959
↘0.004, 0.05%
10      7.7938
↗0.002, 0.03%
11      7.7915
↗0.002, 0.03%
12      7.7897
↗0.002, 0.02%
13      7.7894
↗0.000, 0.00%
14      7.7859
↗0.004, 0.05%
15      7.7862
↘0.000, 0.00%
16      7.7895
↘0.003, 0.04%
17      7.7867
↗0.003, 0.04%
18      7.7815
↗0.005, 0.07%
19      7.7768
↗0.005, 0.06%
20      7.7759
↗0.001, 0.01%
21      7.7737
↗0.002, 0.03%
22      7.7715
↗0.002, 0.03%
23      7.7692
↗0.002, 0.03%
24      7.7693
↘0.000, 0.00%
25      7.7709
↘0.002, 0.02%
26      7.7744
↘0.003, 0.04%
27      7.7745
↘0.000, 0.00%
28      7.7741
↗0.000, 0.01%
29      7.7766
↘0.003, 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(“2016-02-01”),7.779,7.78],[new Date(“2016-02-02”),7.795,7.80],[new Date(“2016-02-03”),7.792,7.79],[new Date(“2016-02-04”),7.791,7.79],[new Date(“2016-02-05”),7.791,7.79],[new Date(“2016-02-06”),7.791,7.79],[new Date(“2016-02-07”),7.788,7.79],[new Date(“2016-02-08”),7.792,7.79],[new Date(“2016-02-09”),7.796,7.80],[new Date(“2016-02-10”),7.794,7.79],[new Date(“2016-02-11”),7.792,7.79],[new Date(“2016-02-12”),7.790,7.79],[new Date(“2016-02-13”),7.789,7.79],[new Date(“2016-02-14”),7.786,7.79],[new Date(“2016-02-15”),7.786,7.79],[new Date(“2016-02-16”),7.789,7.79],[new Date(“2016-02-17”),7.787,7.79],[new Date(“2016-02-18”),7.782,7.78],[new Date(“2016-02-19”),7.777,7.78],[new Date(“2016-02-20”),7.776,7.78],[new Date(“2016-02-21”),7.774,7.77],[new Date(“2016-02-22”),7.771,7.77],[new Date(“2016-02-23”),7.769,7.77],[new Date(“2016-02-24”),7.769,7.77],[new Date(“2016-02-25”),7.771,7.77],[new Date(“2016-02-26”),7.774,7.77],[new Date(“2016-02-27”),7.775,7.77],[new Date(“2016-02-28”),7.774,7.77],[new Date(“2016-02-29″),7.777,7.78],]);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      7.7503
02      7.7500
↗0.000, 0.00%
03      7.7505
↘0.001, 0.01%
04      7.7512
↘0.001, 0.01%
05      7.7514
↘0.000, 0.00%
06      7.7524
↘0.001, 0.01%
07      7.7555
↘0.003, 0.04%
08      7.7610
↘0.005, 0.07%
09      7.7621
↘0.001, 0.01%
10      7.7653
↘0.003, 0.04%
11      7.7637
↗0.002, 0.02%
12      7.7622
↗0.002, 0.02%
13      7.7616
↗0.001, 0.01%
14      7.7781
↘0.016, 0.21%
15      7.7910
↘0.013, 0.17%
16      7.7939
↘0.003, 0.04%
17      7.7937
↗0.000, 0.00%
18      7.7986
↘0.005, 0.06%
19      7.8147
↘0.016, 0.21%
20      7.8178
↘0.003, 0.04%
21      7.8188
↘0.001, 0.01%
22      7.8032
↗0.016, 0.20%
23      7.7990
↗0.004, 0.05%
24      7.7984
↗0.001, 0.01%
25      7.7957
↗0.003, 0.03%
26      7.7950
↗0.001, 0.01%
27      7.7959
↘0.001, 0.01%
28      7.7928
↗0.003, 0.04%
29      7.7850
↗0.008, 0.10%
30      7.7846
↗0.000, 0.01%
31      7.7826
↗0.002, 0.02%
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”),7.750,7.75],[new Date(“2016-01-02”),7.750,7.75],[new Date(“2016-01-03”),7.751,7.75],[new Date(“2016-01-04”),7.751,7.75],[new Date(“2016-01-05”),7.751,7.75],[new Date(“2016-01-06”),7.752,7.75],[new Date(“2016-01-07”),7.756,7.76],[new Date(“2016-01-08”),7.761,7.76],[new Date(“2016-01-09”),7.762,7.76],[new Date(“2016-01-10”),7.765,7.77],[new Date(“2016-01-11”),7.764,7.76],[new Date(“2016-01-12”),7.762,7.76],[new Date(“2016-01-13”),7.762,7.76],[new Date(“2016-01-14”),7.778,7.78],[new Date(“2016-01-15”),7.791,7.79],[new Date(“2016-01-16”),7.794,7.79],[new Date(“2016-01-17”),7.794,7.79],[new Date(“2016-01-18”),7.799,7.80],[new Date(“2016-01-19”),7.815,7.81],[new Date(“2016-01-20”),7.818,7.82],[new Date(“2016-01-21”),7.819,7.82],[new Date(“2016-01-22”),7.803,7.80],[new Date(“2016-01-23”),7.799,7.80],[new Date(“2016-01-24”),7.798,7.80],[new Date(“2016-01-25”),7.796,7.80],[new Date(“2016-01-26”),7.795,7.79],[new Date(“2016-01-27”),7.796,7.80],[new Date(“2016-01-28”),7.793,7.79],[new Date(“2016-01-29”),7.785,7.79],[new Date(“2016-01-30”),7.785,7.78],[new Date(“2016-01-31″),7.783,7.78],]);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);
}