Sudanese Pound SDG 2016 Conversion Rates

  • Opening Value is 6.168109 SDG per Dollar
  • Closing Value is 6.479504 SDG per Dollar
  • Change in Value during 2016 is 0.3114 which is 5.05%
  • Best Performance is on 2016-10-18 with 6.069410 SDG per Dollar
  • Lowest Performance is on 2016-11-22 with 6.840298 SDG per Dollar
  • Average Value is 6.1608 SDG per Dollar
  • Swing Between the higest and the lowest is 0.7709 per Dollar, that is 12.50% compared to the opening value.

USD to SDG Conversion Rates – 12 months

Date 1 USD =
2016-12-31 6.4795 SDG
2016-11-30 6.4802 SDG
2016-10-31 6.3535 SDG
2016-09-30 6.0704 SDG
2016-08-31 6.0697 SDG
2016-07-31 6.0702 SDG
2016-06-30 6.0834 SDG
2016-05-31 6.0869 SDG
2016-04-30 6.0870 SDG
2016-03-31 6.1015 SDG
2016-02-29 6.0963 SDG
2016-01-31 6.1297 SDG
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”),6.480,6.48],[new Date(“2016-11-30”),6.480,6.48],[new Date(“2016-10-31”),6.354,6.35],[new Date(“2016-09-30”),6.070,6.07],[new Date(“2016-08-31”),6.070,6.07],[new Date(“2016-07-31”),6.070,6.07],[new Date(“2016-06-30”),6.083,6.08],[new Date(“2016-05-31”),6.087,6.09],[new Date(“2016-04-30”),6.087,6.09],[new Date(“2016-03-31”),6.102,6.10],[new Date(“2016-02-29”),6.096,6.10],[new Date(“2016-01-31”),6.130,6.13],]);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      6.4803
02      6.4805
↘0.000, 0.00%
03      6.4805
→0.000, 0.00%
04      6.4805
↗0.000, 0.00%
05      6.4801
↗0.000, 0.01%
06      6.4802
↘0.000, 0.00%
07      6.4805
↘0.000, 0.00%
08      6.4798
↗0.001, 0.01%
09      6.4795
↗0.000, 0.00%
10      6.4795
→0.000, 0.00%
11      6.4795
↗0.000, 0.00%
12      6.4795
↘0.000, 0.00%
13      6.4795
↗0.000, 0.00%
14      6.4795
↘0.000, 0.00%
15      6.4805
↘0.001, 0.02%
16      6.4795
↗0.001, 0.02%
17      6.4795
→0.000, 0.00%
18      6.4795
↗0.000, 0.00%
19      6.4795
↘0.000, 0.00%
20      6.4795
↗0.000, 0.00%
21      6.4795
↘0.000, 0.00%
22      6.4795
↗0.000, 0.00%
23      6.4795
↘0.000, 0.00%
24      6.4795
→0.000, 0.00%
25      6.4795
↗0.000, 0.00%
26      6.4795
↘0.000, 0.00%
27      6.4795
↗0.000, 0.00%
28      6.4795
↘0.000, 0.00%
29      6.4795
↘0.000, 0.00%
30      6.4795
↘0.000, 0.00%
31      6.4795
→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”),6.480,6.48],[new Date(“2016-12-02”),6.481,6.48],[new Date(“2016-12-03”),6.481,6.48],[new Date(“2016-12-04”),6.481,6.48],[new Date(“2016-12-05”),6.480,6.48],[new Date(“2016-12-06”),6.480,6.48],[new Date(“2016-12-07”),6.480,6.48],[new Date(“2016-12-08”),6.480,6.48],[new Date(“2016-12-09”),6.480,6.48],[new Date(“2016-12-10”),6.480,6.48],[new Date(“2016-12-11”),6.479,6.48],[new Date(“2016-12-12”),6.480,6.48],[new Date(“2016-12-13”),6.479,6.48],[new Date(“2016-12-14”),6.479,6.48],[new Date(“2016-12-15”),6.480,6.48],[new Date(“2016-12-16”),6.480,6.48],[new Date(“2016-12-17”),6.480,6.48],[new Date(“2016-12-18”),6.479,6.48],[new Date(“2016-12-19”),6.480,6.48],[new Date(“2016-12-20”),6.479,6.48],[new Date(“2016-12-21”),6.479,6.48],[new Date(“2016-12-22”),6.479,6.48],[new Date(“2016-12-23”),6.480,6.48],[new Date(“2016-12-24”),6.480,6.48],[new Date(“2016-12-25”),6.479,6.48],[new Date(“2016-12-26”),6.480,6.48],[new Date(“2016-12-27”),6.479,6.48],[new Date(“2016-12-28”),6.480,6.48],[new Date(“2016-12-29”),6.480,6.48],[new Date(“2016-12-30”),6.480,6.48],[new Date(“2016-12-31″),6.480,6.48],]);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      6.3535
02      6.3535
↘0.000, 0.00%
03      6.3536
↘0.000, 0.00%
04      6.3536
↘0.000, 0.00%
05      6.3536
→0.000, 0.00%
06      6.3535
↗0.000, 0.00%
07      6.4901
↘0.137, 2.15%
08      6.4805
↗0.010, 0.15%
09      6.4803
↗0.000, 0.00%
10      6.4803
↘0.000, 0.00%
11      6.4805
↘0.000, 0.00%
12      6.4805
→0.000, 0.00%
13      6.4805
↗0.000, 0.00%
14      6.4807
↘0.000, 0.00%
15      6.4805
↗0.000, 0.00%
16      6.4805
↘0.000, 0.00%
17      6.4806
↘0.000, 0.00%
18      6.4805
↗0.000, 0.00%
19      6.4805
→0.000, 0.00%
20      6.4805
↗0.000, 0.00%
21      6.4804
↗0.000, 0.00%
22      6.8403
↘0.360, 5.55%
23      6.4805
↗0.360, 5.26%
24      6.4805
↘0.000, 0.00%
25      6.4804
↗0.000, 0.00%
26      6.4804
→0.000, 0.00%
27      6.4803
↗0.000, 0.00%
28      6.4805
↘0.000, 0.00%
29      6.4803
↗0.000, 0.00%
30      6.4802
↗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(“2016-11-01”),6.353,6.35],[new Date(“2016-11-02”),6.354,6.35],[new Date(“2016-11-03”),6.354,6.35],[new Date(“2016-11-04”),6.354,6.35],[new Date(“2016-11-05”),6.354,6.35],[new Date(“2016-11-06”),6.354,6.35],[new Date(“2016-11-07”),6.490,6.49],[new Date(“2016-11-08”),6.480,6.48],[new Date(“2016-11-09”),6.480,6.48],[new Date(“2016-11-10”),6.480,6.48],[new Date(“2016-11-11”),6.481,6.48],[new Date(“2016-11-12”),6.481,6.48],[new Date(“2016-11-13”),6.481,6.48],[new Date(“2016-11-14”),6.481,6.48],[new Date(“2016-11-15”),6.480,6.48],[new Date(“2016-11-16”),6.481,6.48],[new Date(“2016-11-17”),6.481,6.48],[new Date(“2016-11-18”),6.481,6.48],[new Date(“2016-11-19”),6.481,6.48],[new Date(“2016-11-20”),6.480,6.48],[new Date(“2016-11-21”),6.480,6.48],[new Date(“2016-11-22”),6.840,6.84],[new Date(“2016-11-23”),6.480,6.48],[new Date(“2016-11-24”),6.481,6.48],[new Date(“2016-11-25”),6.480,6.48],[new Date(“2016-11-26”),6.480,6.48],[new Date(“2016-11-27”),6.480,6.48],[new Date(“2016-11-28”),6.480,6.48],[new Date(“2016-11-29”),6.480,6.48],[new Date(“2016-11-30″),6.480,6.48],]);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      6.0704
02      6.0699
↗0.000, 0.01%
03      6.0700
↘0.000, 0.00%
04      6.0703
↘0.000, 0.00%
05      6.0700
↗0.000, 0.01%
06      6.0702
↘0.000, 0.00%
07      6.0704
↘0.000, 0.00%
08      6.0704
→0.000, 0.00%
09      6.0697
↗0.001, 0.01%
10      6.0698
↘0.000, 0.00%
11      6.0701
↘0.000, 0.00%
12      6.0702
↘0.000, 0.00%
13      6.0700
↗0.000, 0.00%
14      6.0704
↘0.000, 0.01%
15      6.0704
→0.000, 0.00%
16      6.0698
↗0.001, 0.01%
17      6.0699
↘0.000, 0.00%
18      6.0694
↗0.000, 0.01%
19      6.0698
↘0.000, 0.01%
20      6.3536
↘0.284, 4.68%
21      6.3536
↘0.000, 0.00%
22      6.3536
→0.000, 0.00%
23      6.3536
↗0.000, 0.00%
24      6.3535
↗0.000, 0.00%
25      6.3530
↗0.001, 0.01%
26      6.3535
↘0.001, 0.01%
27      6.3533
↗0.000, 0.00%
28      6.3535
↘0.000, 0.00%
29      6.3535
→0.000, 0.00%
30      6.3535
↗0.000, 0.00%
31      6.3535
↘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”),6.070,6.07],[new Date(“2016-10-02”),6.070,6.07],[new Date(“2016-10-03”),6.070,6.07],[new Date(“2016-10-04”),6.070,6.07],[new Date(“2016-10-05”),6.070,6.07],[new Date(“2016-10-06”),6.070,6.07],[new Date(“2016-10-07”),6.070,6.07],[new Date(“2016-10-08”),6.070,6.07],[new Date(“2016-10-09”),6.070,6.07],[new Date(“2016-10-10”),6.070,6.07],[new Date(“2016-10-11”),6.070,6.07],[new Date(“2016-10-12”),6.070,6.07],[new Date(“2016-10-13”),6.070,6.07],[new Date(“2016-10-14”),6.070,6.07],[new Date(“2016-10-15”),6.070,6.07],[new Date(“2016-10-16”),6.070,6.07],[new Date(“2016-10-17”),6.070,6.07],[new Date(“2016-10-18”),6.069,6.07],[new Date(“2016-10-19”),6.070,6.07],[new Date(“2016-10-20”),6.354,6.35],[new Date(“2016-10-21”),6.354,6.35],[new Date(“2016-10-22”),6.354,6.35],[new Date(“2016-10-23”),6.354,6.35],[new Date(“2016-10-24”),6.354,6.35],[new Date(“2016-10-25”),6.353,6.35],[new Date(“2016-10-26”),6.353,6.35],[new Date(“2016-10-27”),6.353,6.35],[new Date(“2016-10-28”),6.354,6.35],[new Date(“2016-10-29”),6.354,6.35],[new Date(“2016-10-30”),6.353,6.35],[new Date(“2016-10-31″),6.354,6.35],]);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      6.0696
02      6.0704
↘0.001, 0.01%
03      6.0704
→0.000, 0.00%
04      6.0699
↗0.000, 0.01%
05      6.0698
↗0.000, 0.00%
06      6.0702
↘0.000, 0.01%
07      6.0702
↗0.000, 0.00%
08      6.0699
↗0.000, 0.01%
09      6.0704
↘0.001, 0.01%
10      6.0704
→0.000, 0.00%
11      6.0698
↗0.001, 0.01%
12      6.0702
↘0.000, 0.01%
13      6.0698
↗0.000, 0.01%
14      6.0700
↘0.000, 0.00%
15      6.0698
↗0.000, 0.00%
16      6.0704
↘0.001, 0.01%
17      6.0704
→0.000, 0.00%
18      6.0699
↗0.001, 0.01%
19      6.0697
↗0.000, 0.00%
20      6.0702
↘0.000, 0.01%
21      6.0699
↗0.000, 0.00%
22      6.0702
↘0.000, 0.00%
23      6.0704
↘0.000, 0.00%
24      6.0704
→0.000, 0.00%
25      6.0699
↗0.000, 0.01%
26      6.0703
↘0.000, 0.01%
27      6.0704
↘0.000, 0.00%
28      6.0697
↗0.001, 0.01%
29      6.0696
↗0.000, 0.00%
30      6.0704
↘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(“2016-09-01”),6.070,6.07],[new Date(“2016-09-02”),6.070,6.07],[new Date(“2016-09-03”),6.070,6.07],[new Date(“2016-09-04”),6.070,6.07],[new Date(“2016-09-05”),6.070,6.07],[new Date(“2016-09-06”),6.070,6.07],[new Date(“2016-09-07”),6.070,6.07],[new Date(“2016-09-08”),6.070,6.07],[new Date(“2016-09-09”),6.070,6.07],[new Date(“2016-09-10”),6.070,6.07],[new Date(“2016-09-11”),6.070,6.07],[new Date(“2016-09-12”),6.070,6.07],[new Date(“2016-09-13”),6.070,6.07],[new Date(“2016-09-14”),6.070,6.07],[new Date(“2016-09-15”),6.070,6.07],[new Date(“2016-09-16”),6.070,6.07],[new Date(“2016-09-17”),6.070,6.07],[new Date(“2016-09-18”),6.070,6.07],[new Date(“2016-09-19”),6.070,6.07],[new Date(“2016-09-20”),6.070,6.07],[new Date(“2016-09-21”),6.070,6.07],[new Date(“2016-09-22”),6.070,6.07],[new Date(“2016-09-23”),6.070,6.07],[new Date(“2016-09-24”),6.070,6.07],[new Date(“2016-09-25”),6.070,6.07],[new Date(“2016-09-26”),6.070,6.07],[new Date(“2016-09-27”),6.070,6.07],[new Date(“2016-09-28”),6.070,6.07],[new Date(“2016-09-29”),6.070,6.07],[new Date(“2016-09-30″),6.070,6.07],]);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      6.0702
02      6.0700
↗0.000, 0.00%
03      6.0703
↘0.000, 0.00%
04      6.0698
↗0.001, 0.01%
05      6.0704
↘0.001, 0.01%
06      6.0704
→0.000, 0.00%
07      6.0703
↗0.000, 0.00%
08      6.0698
↗0.000, 0.01%
09      6.0702
↘0.000, 0.01%
10      6.0704
↘0.000, 0.00%
11      6.0702
↗0.000, 0.00%
12      6.0704
↘0.000, 0.00%
13      6.0704
→0.000, 0.00%
14      6.0702
↗0.000, 0.00%
15      6.0703
↘0.000, 0.00%
16      6.0704
↘0.000, 0.00%
17      6.0701
↗0.000, 0.01%
18      6.0697
↗0.000, 0.01%
19      6.0695
↗0.000, 0.00%
20      6.0695
→0.000, 0.00%
21      6.0695
↗0.000, 0.00%
22      6.0697
↘0.000, 0.00%
23      6.0702
↘0.001, 0.01%
24      6.0702
↘0.000, 0.00%
25      6.0703
↘0.000, 0.00%
26      6.0704
↘0.000, 0.00%
27      6.0704
→0.000, 0.00%
28      6.0700
↗0.000, 0.01%
29      6.0699
↗0.000, 0.00%
30      6.0696
↗0.000, 0.01%
31      6.0697
↘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(“2016-08-01”),6.070,6.07],[new Date(“2016-08-02”),6.070,6.07],[new Date(“2016-08-03”),6.070,6.07],[new Date(“2016-08-04”),6.070,6.07],[new Date(“2016-08-05”),6.070,6.07],[new Date(“2016-08-06”),6.070,6.07],[new Date(“2016-08-07”),6.070,6.07],[new Date(“2016-08-08”),6.070,6.07],[new Date(“2016-08-09”),6.070,6.07],[new Date(“2016-08-10”),6.070,6.07],[new Date(“2016-08-11”),6.070,6.07],[new Date(“2016-08-12”),6.070,6.07],[new Date(“2016-08-13”),6.070,6.07],[new Date(“2016-08-14”),6.070,6.07],[new Date(“2016-08-15”),6.070,6.07],[new Date(“2016-08-16”),6.070,6.07],[new Date(“2016-08-17”),6.070,6.07],[new Date(“2016-08-18”),6.070,6.07],[new Date(“2016-08-19”),6.070,6.07],[new Date(“2016-08-20”),6.070,6.07],[new Date(“2016-08-21”),6.069,6.07],[new Date(“2016-08-22”),6.070,6.07],[new Date(“2016-08-23”),6.070,6.07],[new Date(“2016-08-24”),6.070,6.07],[new Date(“2016-08-25”),6.070,6.07],[new Date(“2016-08-26”),6.070,6.07],[new Date(“2016-08-27”),6.070,6.07],[new Date(“2016-08-28”),6.070,6.07],[new Date(“2016-08-29”),6.070,6.07],[new Date(“2016-08-30”),6.070,6.07],[new Date(“2016-08-31″),6.070,6.07],]);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      6.0727
02      6.0791
↘0.006, 0.10%
03      6.0717
↗0.007, 0.12%
04      6.0696
↗0.002, 0.03%
05      6.0858
↘0.016, 0.27%
06      6.0751
↗0.011, 0.18%
07      6.0862
↘0.011, 0.18%
08      6.0753
↗0.011, 0.18%
09      6.0786
↘0.003, 0.05%
10      6.0817
↘0.003, 0.05%
11      6.0759
↗0.006, 0.10%
12      6.0865
↘0.011, 0.17%
13      6.0819
↗0.005, 0.08%
14      6.0863
↘0.004, 0.07%
15      6.0804
↗0.006, 0.10%
16      6.0804
→0.000, 0.00%
17      6.0798
↗0.001, 0.01%
18      6.0801
↘0.000, 0.00%
19      6.0801
↘0.000, 0.00%
20      6.0800
↗0.000, 0.00%
21      6.0700
↗0.010, 0.17%
22      6.0704
↘0.000, 0.01%
23      6.0704
→0.000, 0.00%
24      6.0703
↗0.000, 0.00%
25      6.0700
↗0.000, 0.00%
26      6.0698
↗0.000, 0.00%
27      6.0698
↘0.000, 0.00%
28      6.0695
↗0.000, 0.00%
29      6.0704
↘0.001, 0.01%
30      6.0704
→0.000, 0.00%
31      6.0702
↗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”),6.073,6.07],[new Date(“2016-07-02”),6.079,6.08],[new Date(“2016-07-03”),6.072,6.07],[new Date(“2016-07-04”),6.070,6.07],[new Date(“2016-07-05”),6.086,6.09],[new Date(“2016-07-06”),6.075,6.08],[new Date(“2016-07-07”),6.086,6.09],[new Date(“2016-07-08”),6.075,6.08],[new Date(“2016-07-09”),6.079,6.08],[new Date(“2016-07-10”),6.082,6.08],[new Date(“2016-07-11”),6.076,6.08],[new Date(“2016-07-12”),6.087,6.09],[new Date(“2016-07-13”),6.082,6.08],[new Date(“2016-07-14”),6.086,6.09],[new Date(“2016-07-15”),6.080,6.08],[new Date(“2016-07-16”),6.080,6.08],[new Date(“2016-07-17”),6.080,6.08],[new Date(“2016-07-18”),6.080,6.08],[new Date(“2016-07-19”),6.080,6.08],[new Date(“2016-07-20”),6.080,6.08],[new Date(“2016-07-21”),6.070,6.07],[new Date(“2016-07-22”),6.070,6.07],[new Date(“2016-07-23”),6.070,6.07],[new Date(“2016-07-24”),6.070,6.07],[new Date(“2016-07-25”),6.070,6.07],[new Date(“2016-07-26”),6.070,6.07],[new Date(“2016-07-27”),6.070,6.07],[new Date(“2016-07-28”),6.069,6.07],[new Date(“2016-07-29”),6.070,6.07],[new Date(“2016-07-30”),6.070,6.07],[new Date(“2016-07-31″),6.070,6.07],]);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      6.0842
02      6.0925
↘0.008, 0.14%
03      6.0836
↗0.009, 0.15%
04      6.0896
↘0.006, 0.10%
05      6.0850
↗0.005, 0.07%
06      6.0881
↘0.003, 0.05%
07      6.0705
↗0.018, 0.29%
08      6.0838
↘0.013, 0.22%
09      6.0860
↘0.002, 0.04%
10      6.0837
↗0.002, 0.04%
11      6.0894
↘0.006, 0.09%
12      6.0918
↘0.002, 0.04%
13      6.0876
↗0.004, 0.07%
14      6.0874
↗0.000, 0.00%
15      6.0779
↗0.010, 0.16%
16      6.0888
↘0.011, 0.18%
17      6.0822
↗0.007, 0.11%
18      6.0823
↘0.000, 0.00%
19      6.0811
↗0.001, 0.02%
20      6.0848
↘0.004, 0.06%
21      6.0882
↘0.003, 0.06%
22      6.0780
↗0.010, 0.17%
23      6.0951
↘0.017, 0.28%
24      6.0783
↗0.017, 0.28%
25      6.0847
↘0.006, 0.11%
26      6.0712
↗0.014, 0.22%
27      6.0723
↘0.001, 0.02%
28      6.0889
↘0.017, 0.27%
29      6.0788
↗0.010, 0.17%
30      6.0834
↘0.005, 0.08%
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”),6.084,6.08],[new Date(“2016-06-02”),6.093,6.09],[new Date(“2016-06-03”),6.084,6.08],[new Date(“2016-06-04”),6.090,6.09],[new Date(“2016-06-05”),6.085,6.09],[new Date(“2016-06-06”),6.088,6.09],[new Date(“2016-06-07”),6.070,6.07],[new Date(“2016-06-08”),6.084,6.08],[new Date(“2016-06-09”),6.086,6.09],[new Date(“2016-06-10”),6.084,6.08],[new Date(“2016-06-11”),6.089,6.09],[new Date(“2016-06-12”),6.092,6.09],[new Date(“2016-06-13”),6.088,6.09],[new Date(“2016-06-14”),6.087,6.09],[new Date(“2016-06-15”),6.078,6.08],[new Date(“2016-06-16”),6.089,6.09],[new Date(“2016-06-17”),6.082,6.08],[new Date(“2016-06-18”),6.082,6.08],[new Date(“2016-06-19”),6.081,6.08],[new Date(“2016-06-20”),6.085,6.08],[new Date(“2016-06-21”),6.088,6.09],[new Date(“2016-06-22”),6.078,6.08],[new Date(“2016-06-23”),6.095,6.10],[new Date(“2016-06-24”),6.078,6.08],[new Date(“2016-06-25”),6.085,6.08],[new Date(“2016-06-26”),6.071,6.07],[new Date(“2016-06-27”),6.072,6.07],[new Date(“2016-06-28”),6.089,6.09],[new Date(“2016-06-29”),6.079,6.08],[new Date(“2016-06-30″),6.083,6.08],]);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_6’));
chart.draw(data, options);
}

May, 2016

01      6.0866
02      6.0910
↘0.004, 0.07%
03      6.0957
↘0.005, 0.08%
04      6.0856
↗0.010, 0.17%
05      6.0988
↘0.013, 0.22%
06      6.0917
↗0.007, 0.12%
07      6.0924
↘0.001, 0.01%
08      6.0961
↘0.004, 0.06%
09      6.0950
↗0.001, 0.02%
10      6.0932
↗0.002, 0.03%
11      6.0950
↘0.002, 0.03%
12      6.0896
↗0.005, 0.09%
13      6.0890
↗0.001, 0.01%
14      6.0931
↘0.004, 0.07%
15      6.0952
↘0.002, 0.03%
16      6.0956
↘0.000, 0.01%
17      6.0959
↘0.000, 0.00%
18      6.0908
↗0.005, 0.08%
19      6.0920
↘0.001, 0.02%
20      6.0887
↗0.003, 0.05%
21      6.0840
↗0.005, 0.08%
22      6.0840
↗0.000, 0.00%
23      6.0869
↘0.003, 0.05%
24      6.0863
↗0.001, 0.01%
25      6.0869
↘0.001, 0.01%
26      6.0903
↘0.003, 0.06%
27      6.0851
↗0.005, 0.09%
28      6.0840
↗0.001, 0.02%
29      6.0888
↘0.005, 0.08%
30      6.0886
↗0.000, 0.00%
31      6.0869
↗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(“2016-05-01”),6.087,6.09],[new Date(“2016-05-02”),6.091,6.09],[new Date(“2016-05-03”),6.096,6.10],[new Date(“2016-05-04”),6.086,6.09],[new Date(“2016-05-05”),6.099,6.10],[new Date(“2016-05-06”),6.092,6.09],[new Date(“2016-05-07”),6.092,6.09],[new Date(“2016-05-08”),6.096,6.10],[new Date(“2016-05-09”),6.095,6.10],[new Date(“2016-05-10”),6.093,6.09],[new Date(“2016-05-11”),6.095,6.10],[new Date(“2016-05-12”),6.090,6.09],[new Date(“2016-05-13”),6.089,6.09],[new Date(“2016-05-14”),6.093,6.09],[new Date(“2016-05-15”),6.095,6.10],[new Date(“2016-05-16”),6.096,6.10],[new Date(“2016-05-17”),6.096,6.10],[new Date(“2016-05-18”),6.091,6.09],[new Date(“2016-05-19”),6.092,6.09],[new Date(“2016-05-20”),6.089,6.09],[new Date(“2016-05-21”),6.084,6.08],[new Date(“2016-05-22”),6.084,6.08],[new Date(“2016-05-23”),6.087,6.09],[new Date(“2016-05-24”),6.086,6.09],[new Date(“2016-05-25”),6.087,6.09],[new Date(“2016-05-26”),6.090,6.09],[new Date(“2016-05-27”),6.085,6.09],[new Date(“2016-05-28”),6.084,6.08],[new Date(“2016-05-29”),6.089,6.09],[new Date(“2016-05-30”),6.089,6.09],[new Date(“2016-05-31″),6.087,6.09],]);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      6.1044
02      6.1053
↘0.001, 0.01%
03      6.1029
↗0.002, 0.04%
04      6.0991
↗0.004, 0.06%
05      6.1004
↘0.001, 0.02%
06      6.0969
↗0.003, 0.06%
07      6.1101
↘0.013, 0.22%
08      6.0906
↗0.020, 0.32%
09      6.0940
↘0.003, 0.06%
10      6.0924
↗0.002, 0.03%
11      6.0988
↘0.006, 0.11%
12      6.0987
↗0.000, 0.00%
13      6.1044
↘0.006, 0.09%
14      6.1041
↗0.000, 0.00%
15      6.0976
↗0.007, 0.11%
16      6.0988
↘0.001, 0.02%
17      6.0935
↗0.005, 0.09%
18      6.0993
↘0.006, 0.10%
19      6.0982
↗0.001, 0.02%
20      6.0995
↘0.001, 0.02%
21      6.0987
↗0.001, 0.01%
22      6.1012
↘0.003, 0.04%
23      6.0978
↗0.003, 0.06%
24      6.0975
↗0.000, 0.00%
25      6.1003
↘0.003, 0.05%
26      6.1047
↘0.004, 0.07%
27      6.1015
↗0.003, 0.05%
28      6.0953
↗0.006, 0.10%
29      6.0908
↗0.005, 0.07%
30      6.0870
↗0.004, 0.06%
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”),6.104,6.10],[new Date(“2016-04-02”),6.105,6.11],[new Date(“2016-04-03”),6.103,6.10],[new Date(“2016-04-04”),6.099,6.10],[new Date(“2016-04-05”),6.100,6.10],[new Date(“2016-04-06”),6.097,6.10],[new Date(“2016-04-07”),6.110,6.11],[new Date(“2016-04-08”),6.091,6.09],[new Date(“2016-04-09”),6.094,6.09],[new Date(“2016-04-10”),6.092,6.09],[new Date(“2016-04-11”),6.099,6.10],[new Date(“2016-04-12”),6.099,6.10],[new Date(“2016-04-13”),6.104,6.10],[new Date(“2016-04-14”),6.104,6.10],[new Date(“2016-04-15”),6.098,6.10],[new Date(“2016-04-16”),6.099,6.10],[new Date(“2016-04-17”),6.093,6.09],[new Date(“2016-04-18”),6.099,6.10],[new Date(“2016-04-19”),6.098,6.10],[new Date(“2016-04-20”),6.100,6.10],[new Date(“2016-04-21”),6.099,6.10],[new Date(“2016-04-22”),6.101,6.10],[new Date(“2016-04-23”),6.098,6.10],[new Date(“2016-04-24”),6.098,6.10],[new Date(“2016-04-25”),6.100,6.10],[new Date(“2016-04-26”),6.105,6.10],[new Date(“2016-04-27”),6.101,6.10],[new Date(“2016-04-28”),6.095,6.10],[new Date(“2016-04-29”),6.091,6.09],[new Date(“2016-04-30″),6.087,6.09],]);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      6.1081
02      6.1007
↗0.007, 0.12%
03      6.0908
↗0.010, 0.16%
04      6.0954
↘0.005, 0.08%
05      6.0907
↗0.005, 0.08%
06      6.0942
↘0.004, 0.06%
07      6.0957
↘0.001, 0.02%
08      6.1046
↘0.009, 0.15%
09      6.0975
↗0.007, 0.12%
10      6.0991
↘0.002, 0.03%
11      6.0971
↗0.002, 0.03%
12      6.0821
↗0.015, 0.25%
13      6.0859
↘0.004, 0.06%
14      6.0949
↘0.009, 0.15%
15      6.0941
↗0.001, 0.01%
16      6.0820
↗0.012, 0.20%
17      6.1002
↘0.018, 0.30%
18      6.0887
↗0.011, 0.19%
19      6.1002
↘0.012, 0.19%
20      6.1024
↘0.002, 0.04%
21      6.1015
↗0.001, 0.01%
22      6.1007
↗0.001, 0.01%
23      6.0992
↗0.002, 0.03%
24      6.0976
↗0.002, 0.03%
25      6.0978
↘0.000, 0.00%
26      6.0948
↗0.003, 0.05%
27      6.0920
↗0.003, 0.05%
28      6.0812
↗0.011, 0.18%
29      6.0812
↘0.000, 0.00%
30      6.0979
↘0.017, 0.27%
31      6.1015
↘0.004, 0.06%
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”),6.108,6.11],[new Date(“2016-03-02”),6.101,6.10],[new Date(“2016-03-03”),6.091,6.09],[new Date(“2016-03-04”),6.095,6.10],[new Date(“2016-03-05”),6.091,6.09],[new Date(“2016-03-06”),6.094,6.09],[new Date(“2016-03-07”),6.096,6.10],[new Date(“2016-03-08”),6.105,6.10],[new Date(“2016-03-09”),6.097,6.10],[new Date(“2016-03-10”),6.099,6.10],[new Date(“2016-03-11”),6.097,6.10],[new Date(“2016-03-12”),6.082,6.08],[new Date(“2016-03-13”),6.086,6.09],[new Date(“2016-03-14”),6.095,6.09],[new Date(“2016-03-15”),6.094,6.09],[new Date(“2016-03-16”),6.082,6.08],[new Date(“2016-03-17”),6.100,6.10],[new Date(“2016-03-18”),6.089,6.09],[new Date(“2016-03-19”),6.100,6.10],[new Date(“2016-03-20”),6.102,6.10],[new Date(“2016-03-21”),6.101,6.10],[new Date(“2016-03-22”),6.101,6.10],[new Date(“2016-03-23”),6.099,6.10],[new Date(“2016-03-24”),6.098,6.10],[new Date(“2016-03-25”),6.098,6.10],[new Date(“2016-03-26”),6.095,6.09],[new Date(“2016-03-27”),6.092,6.09],[new Date(“2016-03-28”),6.081,6.08],[new Date(“2016-03-29”),6.081,6.08],[new Date(“2016-03-30”),6.098,6.10],[new Date(“2016-03-31″),6.102,6.10],]);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      6.0983
02      6.1093
↘0.011, 0.18%
03      6.0796
↗0.030, 0.49%
04      6.1018
↘0.022, 0.37%
05      6.0899
↗0.012, 0.19%
06      6.1021
↘0.012, 0.20%
07      6.1053
↘0.003, 0.05%
08      6.1025
↗0.003, 0.05%
09      6.0969
↗0.006, 0.09%
10      6.0928
↗0.004, 0.07%
11      6.0973
↘0.005, 0.07%
12      6.0964
↗0.001, 0.02%
13      6.1031
↘0.007, 0.11%
14      6.1077
↘0.005, 0.08%
15      6.0937
↗0.014, 0.23%
16      6.1043
↘0.011, 0.17%
17      6.1048
↘0.000, 0.01%
18      6.0952
↗0.010, 0.16%
19      6.1005
↘0.005, 0.09%
20      6.0980
↗0.003, 0.04%
21      6.0943
↗0.004, 0.06%
22      6.0972
↘0.003, 0.05%
23      6.0998
↘0.003, 0.04%
24      6.0924
↗0.007, 0.12%
25      6.0987
↘0.006, 0.10%
26      6.0948
↗0.004, 0.06%
27      6.0979
↘0.003, 0.05%
28      6.1260
↘0.028, 0.46%
29      6.0963
↗0.030, 0.48%
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”),6.098,6.10],[new Date(“2016-02-02”),6.109,6.11],[new Date(“2016-02-03”),6.080,6.08],[new Date(“2016-02-04”),6.102,6.10],[new Date(“2016-02-05”),6.090,6.09],[new Date(“2016-02-06”),6.102,6.10],[new Date(“2016-02-07”),6.105,6.11],[new Date(“2016-02-08”),6.102,6.10],[new Date(“2016-02-09”),6.097,6.10],[new Date(“2016-02-10”),6.093,6.09],[new Date(“2016-02-11”),6.097,6.10],[new Date(“2016-02-12”),6.096,6.10],[new Date(“2016-02-13”),6.103,6.10],[new Date(“2016-02-14”),6.108,6.11],[new Date(“2016-02-15”),6.094,6.09],[new Date(“2016-02-16”),6.104,6.10],[new Date(“2016-02-17”),6.105,6.10],[new Date(“2016-02-18”),6.095,6.10],[new Date(“2016-02-19”),6.101,6.10],[new Date(“2016-02-20”),6.098,6.10],[new Date(“2016-02-21”),6.094,6.09],[new Date(“2016-02-22”),6.097,6.10],[new Date(“2016-02-23”),6.100,6.10],[new Date(“2016-02-24”),6.092,6.09],[new Date(“2016-02-25”),6.099,6.10],[new Date(“2016-02-26”),6.095,6.09],[new Date(“2016-02-27”),6.098,6.10],[new Date(“2016-02-28”),6.126,6.13],[new Date(“2016-02-29″),6.096,6.10],]);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      6.1681
02      6.1693
↘0.001, 0.02%
03      6.1693
→0.000, 0.00%
04      6.1688
↗0.000, 0.01%
05      6.1652
↗0.004, 0.06%
06      6.1338
↗0.031, 0.51%
07      6.1267
↗0.007, 0.12%
08      6.1086
↗0.018, 0.30%
09      6.1088
↘0.000, 0.00%
10      6.0968
↗0.012, 0.20%
11      6.1098
↘0.013, 0.21%
12      6.1079
↗0.002, 0.03%
13      6.1078
↗0.000, 0.00%
14      6.1065
↗0.001, 0.02%
15      6.0979
↗0.009, 0.14%
16      6.1075
↘0.010, 0.16%
17      6.0997
↗0.008, 0.13%
18      6.0998
↘0.000, 0.00%
19      6.0956
↗0.004, 0.07%
20      6.1067
↘0.011, 0.18%
21      6.1039
↗0.003, 0.05%
22      6.1076
↘0.004, 0.06%
23      6.1116
↘0.004, 0.07%
24      6.1164
↘0.005, 0.08%
25      6.1067
↗0.010, 0.16%
26      6.1027
↗0.004, 0.06%
27      6.1002
↗0.003, 0.04%
28      6.1003
↘0.000, 0.00%
29      6.1035
↘0.003, 0.05%
30      6.1042
↘0.001, 0.01%
31      6.1297
↘0.025, 0.42%
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”),6.168,6.17],[new Date(“2016-01-02”),6.169,6.17],[new Date(“2016-01-03”),6.169,6.17],[new Date(“2016-01-04”),6.169,6.17],[new Date(“2016-01-05”),6.165,6.17],[new Date(“2016-01-06”),6.134,6.13],[new Date(“2016-01-07”),6.127,6.13],[new Date(“2016-01-08”),6.109,6.11],[new Date(“2016-01-09”),6.109,6.11],[new Date(“2016-01-10”),6.097,6.10],[new Date(“2016-01-11”),6.110,6.11],[new Date(“2016-01-12”),6.108,6.11],[new Date(“2016-01-13”),6.108,6.11],[new Date(“2016-01-14”),6.107,6.11],[new Date(“2016-01-15”),6.098,6.10],[new Date(“2016-01-16”),6.107,6.11],[new Date(“2016-01-17”),6.100,6.10],[new Date(“2016-01-18”),6.100,6.10],[new Date(“2016-01-19”),6.096,6.10],[new Date(“2016-01-20”),6.107,6.11],[new Date(“2016-01-21”),6.104,6.10],[new Date(“2016-01-22”),6.108,6.11],[new Date(“2016-01-23”),6.112,6.11],[new Date(“2016-01-24”),6.116,6.12],[new Date(“2016-01-25”),6.107,6.11],[new Date(“2016-01-26”),6.103,6.10],[new Date(“2016-01-27”),6.100,6.10],[new Date(“2016-01-28”),6.100,6.10],[new Date(“2016-01-29”),6.103,6.10],[new Date(“2016-01-30”),6.104,6.10],[new Date(“2016-01-31″),6.130,6.13],]);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);
}