Sudanese Pound SDG 2019 Conversion Rates

  • Opening Value is 47.502499 SDG per Dollar
  • Closing Value is 45.115950 SDG per Dollar
  • Change in Value during 2019 is -2.3865 which is -5.02%
  • Best Performance is on 2019-08-25 with 44.366497 SDG per Dollar
  • Lowest Performance is on 2019-04-25 with 47.954039 SDG per Dollar
  • Average Value is 45.8919 SDG per Dollar
  • Swing Between the higest and the lowest is 3.5875 per Dollar, that is 7.55% compared to the opening value.

USD to SDG Conversion Rates – 12 months

Date 1 USD =
2019-12-31 45.1160 SDG
2019-11-30 45.0170 SDG
2019-10-31 45.1071 SDG
2019-09-30 45.2085 SDG
2019-08-31 45.1080 SDG
2019-07-31 45.1180 SDG
2019-06-30 45.1510 SDG
2019-05-31 45.1230 SDG
2019-04-30 45.1165 SDG
2019-03-31 47.6105 SDG
2019-02-28 47.6165 SDG
2019-01-31 47.7935 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(“2019-12-31”),45.116,45.12],[new Date(“2019-11-30”),45.017,45.02],[new Date(“2019-10-31”),45.107,45.11],[new Date(“2019-09-30”),45.208,45.21],[new Date(“2019-08-31”),45.108,45.11],[new Date(“2019-07-31”),45.118,45.12],[new Date(“2019-06-30”),45.151,45.15],[new Date(“2019-05-31”),45.123,45.12],[new Date(“2019-04-30”),45.116,45.12],[new Date(“2019-03-31”),47.610,47.61],[new Date(“2019-02-28”),47.616,47.62],[new Date(“2019-01-31”),47.793,47.79],]);var options = {
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title: ‘Date’
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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, 2019

01      45.0170
02      45.1225
↘0.105, 0.23%
03      45.1121
↗0.010, 0.02%
04      45.0928
↗0.019, 0.04%
05      45.1018
↘0.009, 0.02%
06      45.1120
↘0.010, 0.02%
07      45.1120
→0.000, 0.00%
08      45.1120
→0.000, 0.00%
09      45.1109
↗0.001, 0.00%
10      45.1245
↘0.014, 0.03%
11      45.1239
↗0.001, 0.00%
12      45.1105
↗0.013, 0.03%
13      45.0991
↗0.011, 0.03%
14      45.0991
→0.000, 0.00%
15      45.0991
→0.000, 0.00%
16      45.1091
↘0.010, 0.02%
17      45.1160
↘0.007, 0.02%
18      45.1160
→0.000, 0.00%
19      45.1160
→0.000, 0.00%
20      45.1160
→0.000, 0.00%
21      45.1160
→0.000, 0.00%
22      45.1160
→0.000, 0.00%
23      45.1160
→0.000, 0.00%
24      45.1160
→0.000, 0.00%
25      45.1160
→0.000, 0.00%
26      45.1160
→0.000, 0.00%
27      45.1160
→0.000, 0.00%
28      45.1160
→0.000, 0.00%
29      45.1160
→0.000, 0.00%
30      45.1160
→0.000, 0.00%
31      45.1160
→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(“2019-12-01”),45.017,45.02],[new Date(“2019-12-02”),45.122,45.12],[new Date(“2019-12-03”),45.112,45.11],[new Date(“2019-12-04”),45.093,45.09],[new Date(“2019-12-05”),45.102,45.10],[new Date(“2019-12-06”),45.112,45.11],[new Date(“2019-12-07”),45.112,45.11],[new Date(“2019-12-08”),45.112,45.11],[new Date(“2019-12-09”),45.111,45.11],[new Date(“2019-12-10”),45.124,45.12],[new Date(“2019-12-11”),45.124,45.12],[new Date(“2019-12-12”),45.110,45.11],[new Date(“2019-12-13”),45.099,45.10],[new Date(“2019-12-14”),45.099,45.10],[new Date(“2019-12-15”),45.099,45.10],[new Date(“2019-12-16”),45.109,45.11],[new Date(“2019-12-17”),45.116,45.12],[new Date(“2019-12-18”),45.116,45.12],[new Date(“2019-12-19”),45.116,45.12],[new Date(“2019-12-20”),45.116,45.12],[new Date(“2019-12-21”),45.116,45.12],[new Date(“2019-12-22”),45.116,45.12],[new Date(“2019-12-23”),45.116,45.12],[new Date(“2019-12-24”),45.116,45.12],[new Date(“2019-12-25”),45.116,45.12],[new Date(“2019-12-26”),45.116,45.12],[new Date(“2019-12-27”),45.116,45.12],[new Date(“2019-12-28”),45.116,45.12],[new Date(“2019-12-29”),45.116,45.12],[new Date(“2019-12-30”),45.116,45.12],[new Date(“2019-12-31″),45.116,45.12],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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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, 2019

01      45.1098
02      45.1098
→0.000, 0.00%
03      45.1098
→0.000, 0.00%
04      45.1020
↗0.008, 0.02%
05      45.1162
↘0.014, 0.03%
06      45.1115
↗0.005, 0.01%
07      45.1218
↘0.010, 0.02%
08      45.0890
↗0.033, 0.07%
09      45.0890
→0.000, 0.00%
10      45.0890
→0.000, 0.00%
11      45.0697
↗0.019, 0.04%
12      45.1227
↘0.053, 0.12%
13      45.1280
↘0.005, 0.01%
14      45.1082
↗0.020, 0.04%
15      45.1132
↘0.005, 0.01%
16      45.0275
↗0.086, 0.19%
17      45.0275
→0.000, 0.00%
18      45.1146
↘0.087, 0.19%
19      45.1070
↗0.008, 0.02%
20      45.1090
↘0.002, 0.00%
21      45.1181
↘0.009, 0.02%
22      45.1059
↗0.012, 0.03%
23      45.1059
→0.000, 0.00%
24      45.1059
→0.000, 0.00%
25      45.1104
↘0.005, 0.01%
26      45.1156
↘0.005, 0.01%
27      45.1219
↘0.006, 0.01%
28      45.1162
↗0.006, 0.01%
29      45.0958
↗0.020, 0.05%
30      45.0170
↗0.079, 0.17%
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(“2019-11-01”),45.110,45.11],[new Date(“2019-11-02”),45.110,45.11],[new Date(“2019-11-03”),45.110,45.11],[new Date(“2019-11-04”),45.102,45.10],[new Date(“2019-11-05”),45.116,45.12],[new Date(“2019-11-06”),45.111,45.11],[new Date(“2019-11-07”),45.122,45.12],[new Date(“2019-11-08”),45.089,45.09],[new Date(“2019-11-09”),45.089,45.09],[new Date(“2019-11-10”),45.089,45.09],[new Date(“2019-11-11”),45.070,45.07],[new Date(“2019-11-12”),45.123,45.12],[new Date(“2019-11-13”),45.128,45.13],[new Date(“2019-11-14”),45.108,45.11],[new Date(“2019-11-15”),45.113,45.11],[new Date(“2019-11-16”),45.027,45.03],[new Date(“2019-11-17”),45.027,45.03],[new Date(“2019-11-18”),45.115,45.11],[new Date(“2019-11-19”),45.107,45.11],[new Date(“2019-11-20”),45.109,45.11],[new Date(“2019-11-21”),45.118,45.12],[new Date(“2019-11-22”),45.106,45.11],[new Date(“2019-11-23”),45.106,45.11],[new Date(“2019-11-24”),45.106,45.11],[new Date(“2019-11-25”),45.110,45.11],[new Date(“2019-11-26”),45.116,45.12],[new Date(“2019-11-27”),45.122,45.12],[new Date(“2019-11-28”),45.116,45.12],[new Date(“2019-11-29”),45.096,45.10],[new Date(“2019-11-30″),45.017,45.02],]);var options = {
hAxis: {
title: ‘Date’
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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, 2019

01      44.9765
02      44.9485
↗0.028, 0.06%
03      45.0845
↘0.136, 0.30%
04      45.1305
↘0.046, 0.10%
05      45.1485
↘0.018, 0.04%
06      45.1485
↗0.000, 0.00%
07      45.0945
↗0.054, 0.12%
08      45.0915
↗0.003, 0.01%
09      45.1155
↘0.024, 0.05%
10      45.1120
↗0.004, 0.01%
11      45.0950
↗0.017, 0.04%
12      45.0950
→0.000, 0.00%
13      45.1120
↘0.017, 0.04%
14      45.1252
↘0.013, 0.03%
15      45.1216
↗0.004, 0.01%
16      45.1046
↗0.017, 0.04%
17      45.0774
↗0.027, 0.06%
18      45.1170
↘0.040, 0.09%
19      45.1170
→0.000, 0.00%
20      45.1170
→0.000, 0.00%
21      45.1075
↗0.010, 0.02%
22      45.1183
↘0.011, 0.02%
23      45.1054
↗0.013, 0.03%
24      45.1162
↘0.011, 0.02%
25      45.1215
↘0.005, 0.01%
26      45.1215
→0.000, 0.00%
27      45.1215
→0.000, 0.00%
28      45.1011
↗0.020, 0.05%
29      45.0871
↗0.014, 0.03%
30      45.1184
↘0.031, 0.07%
31      45.1071
↗0.011, 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(“2019-10-01”),44.976,44.98],[new Date(“2019-10-02”),44.948,44.95],[new Date(“2019-10-03”),45.085,45.08],[new Date(“2019-10-04”),45.131,45.13],[new Date(“2019-10-05”),45.149,45.15],[new Date(“2019-10-06”),45.149,45.15],[new Date(“2019-10-07”),45.095,45.09],[new Date(“2019-10-08”),45.092,45.09],[new Date(“2019-10-09”),45.116,45.12],[new Date(“2019-10-10”),45.112,45.11],[new Date(“2019-10-11”),45.095,45.10],[new Date(“2019-10-12”),45.095,45.10],[new Date(“2019-10-13”),45.112,45.11],[new Date(“2019-10-14”),45.125,45.13],[new Date(“2019-10-15”),45.122,45.12],[new Date(“2019-10-16”),45.105,45.10],[new Date(“2019-10-17”),45.077,45.08],[new Date(“2019-10-18”),45.117,45.12],[new Date(“2019-10-19”),45.117,45.12],[new Date(“2019-10-20”),45.117,45.12],[new Date(“2019-10-21”),45.107,45.11],[new Date(“2019-10-22”),45.118,45.12],[new Date(“2019-10-23”),45.105,45.11],[new Date(“2019-10-24”),45.116,45.12],[new Date(“2019-10-25”),45.122,45.12],[new Date(“2019-10-26”),45.122,45.12],[new Date(“2019-10-27”),45.122,45.12],[new Date(“2019-10-28”),45.101,45.10],[new Date(“2019-10-29”),45.087,45.09],[new Date(“2019-10-30”),45.118,45.12],[new Date(“2019-10-31″),45.107,45.11],]);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, 2019

01      45.1080
02      45.0970
↗0.011, 0.02%
03      45.1135
↘0.016, 0.04%
04      45.1115
↗0.002, 0.00%
05      45.1202
↘0.009, 0.02%
06      45.1305
↘0.010, 0.02%
07      44.6925
↗0.438, 0.97%
08      44.6925
↗0.000, 0.00%
09      45.0275
↘0.335, 0.75%
10      45.1275
↘0.100, 0.22%
11      45.1015
↗0.026, 0.06%
12      45.1120
↘0.011, 0.02%
13      45.0940
↗0.018, 0.04%
14      45.0940
→0.000, 0.00%
15      45.0939
↗0.000, 0.00%
16      45.0975
↘0.004, 0.01%
17      45.1185
↘0.021, 0.05%
18      45.1205
↘0.002, 0.00%
19      45.1210
↘0.000, 0.00%
20      45.1145
↗0.006, 0.01%
21      45.1145
→0.000, 0.00%
22      45.1145
↗0.000, 0.00%
23      45.1390
↘0.024, 0.05%
24      45.1065
↗0.032, 0.07%
25      45.1245
↘0.018, 0.04%
26      45.0990
↗0.025, 0.06%
27      45.1050
↘0.006, 0.01%
28      45.0980
↗0.007, 0.02%
29      45.0980
↗0.000, 0.00%
30      45.2085
↘0.110, 0.24%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-09-01”),45.108,45.11],[new Date(“2019-09-02”),45.097,45.10],[new Date(“2019-09-03”),45.113,45.11],[new Date(“2019-09-04”),45.112,45.11],[new Date(“2019-09-05”),45.120,45.12],[new Date(“2019-09-06”),45.131,45.13],[new Date(“2019-09-07”),44.693,44.69],[new Date(“2019-09-08”),44.693,44.69],[new Date(“2019-09-09”),45.028,45.03],[new Date(“2019-09-10”),45.128,45.13],[new Date(“2019-09-11”),45.101,45.10],[new Date(“2019-09-12”),45.112,45.11],[new Date(“2019-09-13”),45.094,45.09],[new Date(“2019-09-14”),45.094,45.09],[new Date(“2019-09-15”),45.094,45.09],[new Date(“2019-09-16”),45.098,45.10],[new Date(“2019-09-17”),45.119,45.12],[new Date(“2019-09-18”),45.120,45.12],[new Date(“2019-09-19”),45.121,45.12],[new Date(“2019-09-20”),45.115,45.11],[new Date(“2019-09-21”),45.115,45.11],[new Date(“2019-09-22”),45.114,45.11],[new Date(“2019-09-23”),45.139,45.14],[new Date(“2019-09-24”),45.107,45.11],[new Date(“2019-09-25”),45.125,45.12],[new Date(“2019-09-26”),45.099,45.10],[new Date(“2019-09-27”),45.105,45.11],[new Date(“2019-09-28”),45.098,45.10],[new Date(“2019-09-29”),45.098,45.10],[new Date(“2019-09-30″),45.208,45.21],]);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, 2019

01      45.1210
02      45.0690
↗0.052, 0.12%
03      45.0690
→0.000, 0.00%
04      45.0690
↗0.000, 0.00%
05      45.0960
↘0.027, 0.06%
06      45.1195
↘0.023, 0.05%
07      45.1005
↗0.019, 0.04%
08      45.1205
↘0.020, 0.04%
09      45.1225
↘0.002, 0.00%
10      45.1225
→0.000, 0.00%
11      45.1225
↗0.000, 0.00%
12      45.1210
↗0.001, 0.00%
13      45.1125
↗0.009, 0.02%
14      45.1060
↗0.007, 0.01%
15      45.0995
↗0.006, 0.01%
16      45.1060
↘0.007, 0.01%
17      45.1060
→0.000, 0.00%
18      45.1060
↗0.000, 0.00%
19      45.1140
↘0.008, 0.02%
20      45.1160
↘0.002, 0.00%
21      45.1065
↗0.010, 0.02%
22      45.1259
↘0.019, 0.04%
23      45.1090
↗0.017, 0.04%
24      44.3665
↗0.743, 1.65%
25      44.3665
↗0.000, 0.00%
26      45.1190
↘0.752, 1.70%
27      45.1110
↗0.008, 0.02%
28      45.1190
↘0.008, 0.02%
29      45.1250
↘0.006, 0.01%
30      45.1080
↗0.017, 0.04%
31      45.1080
→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(“2019-08-01”),45.121,45.12],[new Date(“2019-08-02”),45.069,45.07],[new Date(“2019-08-03”),45.069,45.07],[new Date(“2019-08-04”),45.069,45.07],[new Date(“2019-08-05”),45.096,45.10],[new Date(“2019-08-06”),45.119,45.12],[new Date(“2019-08-07”),45.101,45.10],[new Date(“2019-08-08”),45.120,45.12],[new Date(“2019-08-09”),45.123,45.12],[new Date(“2019-08-10”),45.123,45.12],[new Date(“2019-08-11”),45.122,45.12],[new Date(“2019-08-12”),45.121,45.12],[new Date(“2019-08-13”),45.113,45.11],[new Date(“2019-08-14”),45.106,45.11],[new Date(“2019-08-15”),45.099,45.10],[new Date(“2019-08-16”),45.106,45.11],[new Date(“2019-08-17”),45.106,45.11],[new Date(“2019-08-18”),45.106,45.11],[new Date(“2019-08-19”),45.114,45.11],[new Date(“2019-08-20”),45.116,45.12],[new Date(“2019-08-21”),45.106,45.11],[new Date(“2019-08-22”),45.126,45.13],[new Date(“2019-08-23”),45.109,45.11],[new Date(“2019-08-24”),44.367,44.37],[new Date(“2019-08-25”),44.366,44.37],[new Date(“2019-08-26”),45.119,45.12],[new Date(“2019-08-27”),45.111,45.11],[new Date(“2019-08-28”),45.119,45.12],[new Date(“2019-08-29”),45.125,45.13],[new Date(“2019-08-30”),45.108,45.11],[new Date(“2019-08-31″),45.108,45.11],]);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, 2019

01      45.2960
02      45.1405
↗0.156, 0.34%
03      45.1080
↗0.033, 0.07%
04      45.1175
↘0.010, 0.02%
05      45.1110
↗0.006, 0.01%
06      45.1110
→0.000, 0.00%
07      45.1110
↗0.000, 0.00%
08      45.1125
↘0.001, 0.00%
09      45.1150
↘0.002, 0.01%
10      45.1125
↗0.002, 0.01%
11      45.0965
↗0.016, 0.04%
12      45.1130
↘0.017, 0.04%
13      45.1130
→0.000, 0.00%
14      45.1130
↗0.000, 0.00%
15      45.1185
↘0.006, 0.01%
16      45.1205
↘0.002, 0.00%
17      45.1130
↗0.007, 0.02%
18      45.1125
↗0.001, 0.00%
19      45.1135
↘0.001, 0.00%
20      45.1315
↘0.018, 0.04%
21      45.1315
↗0.000, 0.00%
22      45.1145
↗0.017, 0.04%
23      45.1130
↗0.001, 0.00%
24      45.1230
↘0.010, 0.02%
25      45.1120
↗0.011, 0.02%
26      45.1035
↗0.009, 0.02%
27      45.1035
→0.000, 0.00%
28      45.1035
↗0.000, 0.00%
29      45.1360
↘0.032, 0.07%
30      45.1085
↗0.027, 0.06%
31      45.1180
↘0.009, 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(“2019-07-01”),45.296,45.30],[new Date(“2019-07-02”),45.140,45.14],[new Date(“2019-07-03”),45.108,45.11],[new Date(“2019-07-04”),45.117,45.12],[new Date(“2019-07-05”),45.111,45.11],[new Date(“2019-07-06”),45.111,45.11],[new Date(“2019-07-07”),45.111,45.11],[new Date(“2019-07-08”),45.112,45.11],[new Date(“2019-07-09”),45.115,45.11],[new Date(“2019-07-10”),45.112,45.11],[new Date(“2019-07-11”),45.096,45.10],[new Date(“2019-07-12”),45.113,45.11],[new Date(“2019-07-13”),45.113,45.11],[new Date(“2019-07-14”),45.113,45.11],[new Date(“2019-07-15”),45.119,45.12],[new Date(“2019-07-16”),45.121,45.12],[new Date(“2019-07-17”),45.113,45.11],[new Date(“2019-07-18”),45.112,45.11],[new Date(“2019-07-19”),45.114,45.11],[new Date(“2019-07-20”),45.132,45.13],[new Date(“2019-07-21”),45.132,45.13],[new Date(“2019-07-22”),45.115,45.11],[new Date(“2019-07-23”),45.113,45.11],[new Date(“2019-07-24”),45.123,45.12],[new Date(“2019-07-25”),45.112,45.11],[new Date(“2019-07-26”),45.104,45.10],[new Date(“2019-07-27”),45.104,45.10],[new Date(“2019-07-28”),45.104,45.10],[new Date(“2019-07-29”),45.136,45.14],[new Date(“2019-07-30”),45.108,45.11],[new Date(“2019-07-31″),45.118,45.12],]);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, 2019

01      45.1230
02      44.8965
↗0.227, 0.50%
03      45.1075
↘0.211, 0.47%
04      45.1005
↗0.007, 0.02%
05      45.2125
↘0.112, 0.25%
06      45.1025
↗0.110, 0.24%
07      45.0925
↗0.010, 0.02%
08      45.0925
→0.000, 0.00%
09      45.0925
↗0.000, 0.00%
10      45.1080
↘0.016, 0.03%
11      45.0885
↗0.020, 0.04%
12      45.1115
↘0.023, 0.05%
13      45.1110
↗0.001, 0.00%
14      45.1465
↘0.036, 0.08%
15      45.2195
↘0.073, 0.16%
16      45.2195
↗0.000, 0.00%
17      45.1125
↗0.107, 0.24%
18      45.1455
↘0.033, 0.07%
19      45.1175
↗0.028, 0.06%
20      45.1065
↗0.011, 0.02%
21      44.9915
↗0.115, 0.25%
22      44.9915
→0.000, 0.00%
23      44.9915
↗0.000, 0.00%
24      45.0965
↘0.105, 0.23%
25      45.1340
↘0.037, 0.08%
26      45.1160
↗0.018, 0.04%
27      45.1270
↘0.011, 0.02%
28      45.1510
↘0.024, 0.05%
29      45.1510
→0.000, 0.00%
30      45.1510
↗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(“2019-06-01”),45.123,45.12],[new Date(“2019-06-02”),44.896,44.90],[new Date(“2019-06-03”),45.108,45.11],[new Date(“2019-06-04”),45.101,45.10],[new Date(“2019-06-05”),45.213,45.21],[new Date(“2019-06-06”),45.103,45.10],[new Date(“2019-06-07”),45.093,45.09],[new Date(“2019-06-08”),45.093,45.09],[new Date(“2019-06-09”),45.093,45.09],[new Date(“2019-06-10”),45.108,45.11],[new Date(“2019-06-11”),45.089,45.09],[new Date(“2019-06-12”),45.111,45.11],[new Date(“2019-06-13”),45.111,45.11],[new Date(“2019-06-14”),45.147,45.15],[new Date(“2019-06-15”),45.220,45.22],[new Date(“2019-06-16”),45.220,45.22],[new Date(“2019-06-17”),45.112,45.11],[new Date(“2019-06-18”),45.146,45.15],[new Date(“2019-06-19”),45.117,45.12],[new Date(“2019-06-20”),45.106,45.11],[new Date(“2019-06-21”),44.992,44.99],[new Date(“2019-06-22”),44.992,44.99],[new Date(“2019-06-23”),44.992,44.99],[new Date(“2019-06-24”),45.096,45.10],[new Date(“2019-06-25”),45.134,45.13],[new Date(“2019-06-26”),45.116,45.12],[new Date(“2019-06-27”),45.127,45.13],[new Date(“2019-06-28”),45.151,45.15],[new Date(“2019-06-29”),45.151,45.15],[new Date(“2019-06-30″),45.151,45.15],]);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, 2019

01      45.0905
02      45.0955
↘0.005, 0.01%
03      45.1095
↘0.014, 0.03%
04      45.1095
→0.000, 0.00%
05      45.1095
↗0.000, 0.00%
06      45.1095
↗0.000, 0.00%
07      45.1085
↗0.001, 0.00%
08      45.1155
↘0.007, 0.02%
09      45.1205
↘0.005, 0.01%
10      45.1185
↗0.002, 0.00%
11      45.1185
→0.000, 0.00%
12      45.1185
↗0.000, 0.00%
13      45.1145
↗0.004, 0.01%
14      45.0825
↗0.032, 0.07%
15      45.1190
↘0.036, 0.08%
16      45.1060
↗0.013, 0.03%
17      45.1080
↘0.002, 0.00%
18      45.1080
→0.000, 0.00%
19      45.1080
↗0.000, 0.00%
20      45.1085
↘0.001, 0.00%
21      45.1140
↘0.005, 0.01%
22      45.1770
↘0.063, 0.14%
23      45.1140
↗0.063, 0.14%
24      45.1040
↗0.010, 0.02%
25      45.0280
↗0.076, 0.17%
26      45.0280
↗0.000, 0.00%
27      45.1115
↘0.084, 0.19%
28      45.2029
↘0.091, 0.20%
29      45.1320
↗0.071, 0.16%
30      45.1040
↗0.028, 0.06%
31      45.1230
↘0.019, 0.04%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-05-01”),45.091,45.09],[new Date(“2019-05-02”),45.096,45.10],[new Date(“2019-05-03”),45.110,45.11],[new Date(“2019-05-04”),45.110,45.11],[new Date(“2019-05-05”),45.110,45.11],[new Date(“2019-05-06”),45.109,45.11],[new Date(“2019-05-07”),45.109,45.11],[new Date(“2019-05-08”),45.115,45.12],[new Date(“2019-05-09”),45.120,45.12],[new Date(“2019-05-10”),45.119,45.12],[new Date(“2019-05-11”),45.119,45.12],[new Date(“2019-05-12”),45.118,45.12],[new Date(“2019-05-13”),45.114,45.11],[new Date(“2019-05-14”),45.082,45.08],[new Date(“2019-05-15”),45.119,45.12],[new Date(“2019-05-16”),45.106,45.11],[new Date(“2019-05-17”),45.108,45.11],[new Date(“2019-05-18”),45.108,45.11],[new Date(“2019-05-19”),45.108,45.11],[new Date(“2019-05-20”),45.108,45.11],[new Date(“2019-05-21”),45.114,45.11],[new Date(“2019-05-22”),45.177,45.18],[new Date(“2019-05-23”),45.114,45.11],[new Date(“2019-05-24”),45.104,45.10],[new Date(“2019-05-25”),45.028,45.03],[new Date(“2019-05-26”),45.028,45.03],[new Date(“2019-05-27”),45.112,45.11],[new Date(“2019-05-28”),45.203,45.20],[new Date(“2019-05-29”),45.132,45.13],[new Date(“2019-05-30”),45.104,45.10],[new Date(“2019-05-31″),45.123,45.12],]);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, 2019

01      47.6195
02      47.6225
↘0.003, 0.01%
03      47.6205
↗0.002, 0.00%
04      47.6225
↘0.002, 0.00%
05      47.6065
↗0.016, 0.03%
06      47.6065
→0.000, 0.00%
07      47.6065
↗0.000, 0.00%
08      47.6185
↘0.012, 0.03%
09      47.6095
↗0.009, 0.02%
10      47.6205
↘0.011, 0.02%
11      47.7135
↘0.093, 0.20%
12      47.5885
↗0.125, 0.26%
13      47.5825
↗0.006, 0.01%
14      47.5825
↗0.000, 0.00%
15      47.6140
↘0.032, 0.07%
16      47.6260
↘0.012, 0.03%
17      47.6265
↘0.000, 0.00%
18      47.6255
↗0.001, 0.00%
19      47.6935
↘0.068, 0.14%
20      47.6935
→0.000, 0.00%
21      47.6935
↗0.000, 0.00%
22      47.6605
↗0.033, 0.07%
23      47.6130
↗0.047, 0.10%
24      47.6125
↗0.001, 0.00%
25      47.9540
↘0.342, 0.72%
26      45.1210
↗2.833, 5.91%
27      45.0040
↗0.117, 0.26%
28      45.0040
↗0.000, 0.00%
29      45.1070
↘0.103, 0.23%
30      45.1165
↘0.009, 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(“2019-04-01”),47.620,47.62],[new Date(“2019-04-02”),47.623,47.62],[new Date(“2019-04-03”),47.621,47.62],[new Date(“2019-04-04”),47.622,47.62],[new Date(“2019-04-05”),47.607,47.61],[new Date(“2019-04-06”),47.607,47.61],[new Date(“2019-04-07”),47.607,47.61],[new Date(“2019-04-08”),47.619,47.62],[new Date(“2019-04-09”),47.609,47.61],[new Date(“2019-04-10”),47.621,47.62],[new Date(“2019-04-11”),47.714,47.71],[new Date(“2019-04-12”),47.589,47.59],[new Date(“2019-04-13”),47.583,47.58],[new Date(“2019-04-14”),47.582,47.58],[new Date(“2019-04-15”),47.614,47.61],[new Date(“2019-04-16”),47.626,47.63],[new Date(“2019-04-17”),47.626,47.63],[new Date(“2019-04-18”),47.625,47.63],[new Date(“2019-04-19”),47.694,47.69],[new Date(“2019-04-20”),47.694,47.69],[new Date(“2019-04-21”),47.693,47.69],[new Date(“2019-04-22”),47.660,47.66],[new Date(“2019-04-23”),47.613,47.61],[new Date(“2019-04-24”),47.612,47.61],[new Date(“2019-04-25”),47.954,47.95],[new Date(“2019-04-26”),45.121,45.12],[new Date(“2019-04-27”),45.004,45.00],[new Date(“2019-04-28”),45.004,45.00],[new Date(“2019-04-29”),45.107,45.11],[new Date(“2019-04-30″),45.116,45.12],]);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, 2019

01      47.6055
02      47.6055
→0.000, 0.00%
03      47.6055
↗0.000, 0.00%
04      47.5725
↗0.033, 0.07%
05      47.6280
↘0.056, 0.12%
06      47.6075
↗0.021, 0.04%
07      47.6160
↘0.008, 0.02%
08      47.5965
↗0.019, 0.04%
09      47.5965
→0.000, 0.00%
10      47.5030
↗0.093, 0.20%
11      47.6235
↘0.120, 0.25%
12      47.6155
↗0.008, 0.02%
13      47.6110
↗0.004, 0.01%
14      47.6280
↘0.017, 0.04%
15      47.6180
↗0.010, 0.02%
16      47.6180
→0.000, 0.00%
17      47.6180
↗0.000, 0.00%
18      47.7080
↘0.090, 0.19%
19      47.6135
↗0.095, 0.20%
20      47.5980
↗0.016, 0.03%
21      47.6270
↘0.029, 0.06%
22      47.6085
↗0.019, 0.04%
23      47.5155
↗0.093, 0.20%
24      47.5155
↗0.000, 0.00%
25      47.6005
↘0.085, 0.18%
26      47.6220
↘0.021, 0.05%
27      47.6235
↘0.002, 0.00%
28      47.6215
↗0.002, 0.00%
29      47.6105
↗0.011, 0.02%
30      47.6105
→0.000, 0.00%
31      47.6105
↗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(“2019-03-01”),47.606,47.61],[new Date(“2019-03-02”),47.606,47.61],[new Date(“2019-03-03”),47.606,47.61],[new Date(“2019-03-04”),47.572,47.57],[new Date(“2019-03-05”),47.628,47.63],[new Date(“2019-03-06”),47.607,47.61],[new Date(“2019-03-07”),47.616,47.62],[new Date(“2019-03-08”),47.597,47.60],[new Date(“2019-03-09”),47.597,47.60],[new Date(“2019-03-10”),47.503,47.50],[new Date(“2019-03-11”),47.624,47.62],[new Date(“2019-03-12”),47.615,47.62],[new Date(“2019-03-13”),47.611,47.61],[new Date(“2019-03-14”),47.628,47.63],[new Date(“2019-03-15”),47.618,47.62],[new Date(“2019-03-16”),47.618,47.62],[new Date(“2019-03-17”),47.618,47.62],[new Date(“2019-03-18”),47.708,47.71],[new Date(“2019-03-19”),47.614,47.61],[new Date(“2019-03-20”),47.598,47.60],[new Date(“2019-03-21”),47.627,47.63],[new Date(“2019-03-22”),47.609,47.61],[new Date(“2019-03-23”),47.516,47.52],[new Date(“2019-03-24”),47.516,47.52],[new Date(“2019-03-25”),47.601,47.60],[new Date(“2019-03-26”),47.622,47.62],[new Date(“2019-03-27”),47.624,47.62],[new Date(“2019-03-28”),47.622,47.62],[new Date(“2019-03-29”),47.611,47.61],[new Date(“2019-03-30”),47.611,47.61],[new Date(“2019-03-31″),47.610,47.61],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2019

01      47.6190
02      47.6190
→0.000, 0.00%
03      47.6190
↗0.000, 0.00%
04      47.6185
↗0.000, 0.00%
05      47.6780
↘0.060, 0.12%
06      47.6140
↗0.064, 0.13%
07      47.6080
↗0.006, 0.01%
08      47.6105
↘0.002, 0.01%
09      47.6270
↘0.017, 0.03%
10      47.6270
↗0.000, 0.00%
11      47.6220
↗0.005, 0.01%
12      47.6095
↗0.013, 0.03%
13      47.6420
↘0.033, 0.07%
14      47.6315
↗0.011, 0.02%
15      47.5935
↗0.038, 0.08%
16      47.5935
→0.000, 0.00%
17      47.5935
↗0.000, 0.00%
18      47.6250
↘0.031, 0.07%
19      47.6365
↘0.012, 0.02%
20      47.6355
↗0.001, 0.00%
21      47.6005
↗0.035, 0.07%
22      47.6060
↘0.006, 0.01%
23      47.5890
↗0.017, 0.04%
24      47.5890
↗0.000, 0.00%
25      47.6250
↘0.036, 0.08%
26      47.6230
↗0.002, 0.00%
27      47.6370
↘0.014, 0.03%
28      47.6165
↗0.020, 0.04%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-02-01”),47.619,47.62],[new Date(“2019-02-02”),47.619,47.62],[new Date(“2019-02-03”),47.619,47.62],[new Date(“2019-02-04”),47.618,47.62],[new Date(“2019-02-05”),47.678,47.68],[new Date(“2019-02-06”),47.614,47.61],[new Date(“2019-02-07”),47.608,47.61],[new Date(“2019-02-08”),47.611,47.61],[new Date(“2019-02-09”),47.627,47.63],[new Date(“2019-02-10”),47.627,47.63],[new Date(“2019-02-11”),47.622,47.62],[new Date(“2019-02-12”),47.609,47.61],[new Date(“2019-02-13”),47.642,47.64],[new Date(“2019-02-14”),47.631,47.63],[new Date(“2019-02-15”),47.594,47.59],[new Date(“2019-02-16”),47.594,47.59],[new Date(“2019-02-17”),47.594,47.59],[new Date(“2019-02-18”),47.625,47.62],[new Date(“2019-02-19”),47.637,47.64],[new Date(“2019-02-20”),47.636,47.64],[new Date(“2019-02-21”),47.600,47.60],[new Date(“2019-02-22”),47.606,47.61],[new Date(“2019-02-23”),47.589,47.59],[new Date(“2019-02-24”),47.589,47.59],[new Date(“2019-02-25”),47.625,47.63],[new Date(“2019-02-26”),47.623,47.62],[new Date(“2019-02-27”),47.637,47.64],[new Date(“2019-02-28″),47.616,47.62],]);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, 2019

01      47.5025
02      47.6400
↘0.137, 0.29%
03      47.6120
↗0.028, 0.06%
04      47.6280
↘0.016, 0.03%
05      47.6280
→0.000, 0.00%
06      47.6280
↗0.000, 0.00%
07      47.6165
↗0.011, 0.02%
08      47.6235
↘0.007, 0.01%
09      47.6355
↘0.012, 0.03%
10      47.6350
↗0.000, 0.00%
11      47.6070
↗0.028, 0.06%
12      47.6070
→0.000, 0.00%
13      47.6070
↗0.000, 0.00%
14      47.6160
↘0.009, 0.02%
15      47.6390
↘0.023, 0.05%
16      47.6095
↗0.029, 0.06%
17      47.6085
↗0.001, 0.00%
18      47.6210
↘0.013, 0.03%
19      47.6210
→0.000, 0.00%
20      47.6210
↗0.000, 0.00%
21      47.6430
↘0.022, 0.05%
22      47.6210
↗0.022, 0.05%
23      47.6250
↘0.004, 0.01%
24      47.6120
↗0.013, 0.03%
25      47.6080
↗0.004, 0.01%
26      47.3750
↗0.233, 0.49%
27      47.3750
↗0.000, 0.00%
28      47.6085
↘0.233, 0.49%
29      47.6345
↘0.026, 0.05%
30      47.6040
↗0.031, 0.06%
31      47.7935
↘0.190, 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(“2019-01-01”),47.502,47.50],[new Date(“2019-01-02”),47.640,47.64],[new Date(“2019-01-03”),47.612,47.61],[new Date(“2019-01-04”),47.628,47.63],[new Date(“2019-01-05”),47.628,47.63],[new Date(“2019-01-06”),47.628,47.63],[new Date(“2019-01-07”),47.616,47.62],[new Date(“2019-01-08”),47.624,47.62],[new Date(“2019-01-09”),47.635,47.64],[new Date(“2019-01-10”),47.635,47.64],[new Date(“2019-01-11”),47.607,47.61],[new Date(“2019-01-12”),47.607,47.61],[new Date(“2019-01-13”),47.607,47.61],[new Date(“2019-01-14”),47.616,47.62],[new Date(“2019-01-15”),47.639,47.64],[new Date(“2019-01-16”),47.609,47.61],[new Date(“2019-01-17”),47.608,47.61],[new Date(“2019-01-18”),47.621,47.62],[new Date(“2019-01-19”),47.621,47.62],[new Date(“2019-01-20”),47.621,47.62],[new Date(“2019-01-21”),47.643,47.64],[new Date(“2019-01-22”),47.621,47.62],[new Date(“2019-01-23”),47.625,47.62],[new Date(“2019-01-24”),47.612,47.61],[new Date(“2019-01-25”),47.608,47.61],[new Date(“2019-01-26”),47.375,47.38],[new Date(“2019-01-27”),47.375,47.38],[new Date(“2019-01-28”),47.609,47.61],[new Date(“2019-01-29”),47.635,47.63],[new Date(“2019-01-30”),47.604,47.60],[new Date(“2019-01-31″),47.793,47.79],]);var options = {
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title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}