Nigerian Naira NGN 2016 Conversion Rates

  • Opening Value is 199.259301 NGN per Dollar
  • Closing Value is 304.200012 NGN per Dollar
  • Change in Value during 2016 is 104.9407 which is 52.67%
  • Best Performance is on 2016-03-12 with 198.235501 NGN per Dollar
  • Lowest Performance is on 2016-08-18 with 350.000187 NGN per Dollar
  • Average Value is 255.4861 NGN per Dollar
  • Swing Between the higest and the lowest is 151.7647 per Dollar, that is 76.16% compared to the opening value.

USD to NGN Conversion Rates – 12 months

Date 1 USD =
2016-12-31 304.2000 NGN
2016-11-30 313.9996 NGN
2016-10-31 304.5159 NGN
2016-09-30 304.5037 NGN
2016-08-31 304.5426 NGN
2016-07-31 319.2497 NGN
2016-06-30 282.1510 NGN
2016-05-31 199.1533 NGN
2016-04-30 199.0796 NGN
2016-03-31 198.9437 NGN
2016-02-29 198.9830 NGN
2016-01-31 199.7720 NGN
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”),304.200,304.20],[new Date(“2016-11-30”),314.000,314.00],[new Date(“2016-10-31”),304.516,304.52],[new Date(“2016-09-30”),304.504,304.50],[new Date(“2016-08-31”),304.543,304.54],[new Date(“2016-07-31”),319.250,319.25],[new Date(“2016-06-30”),282.151,282.15],[new Date(“2016-05-31”),199.153,199.15],[new Date(“2016-04-30”),199.080,199.08],[new Date(“2016-03-31”),198.944,198.94],[new Date(“2016-02-29”),198.983,198.98],[new Date(“2016-01-31”),199.772,199.77],]);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      315.0004
02      314.0003
↗1.000, 0.32%
03      314.0003
→0.000, 0.00%
04      314.0000
↗0.000, 0.00%
05      314.0003
↘0.000, 0.00%
06      315.0004
↘1.000, 0.32%
07      313.9999
↗1.001, 0.32%
08      314.9999
↘1.000, 0.32%
09      315.0003
↘0.000, 0.00%
10      315.0003
→0.000, 0.00%
11      314.9997
↗0.001, 0.00%
12      314.0000
↗1.000, 0.32%
13      315.0001
↘1.000, 0.32%
14      315.0004
↘0.000, 0.00%
15      314.9998
↗0.001, 0.00%
16      315.0003
↘0.001, 0.00%
17      315.0003
→0.000, 0.00%
18      315.0004
↘0.000, 0.00%
19      314.9997
↗0.001, 0.00%
20      314.9998
↘0.000, 0.00%
21      314.9996
↗0.000, 0.00%
22      313.9996
↗1.000, 0.32%
23      314.0003
↘0.001, 0.00%
24      315.0003
↘1.000, 0.32%
25      304.2501
↗10.750, 3.41%
26      304.2498
↗0.000, 0.00%
27      304.2498
↘0.000, 0.00%
28      304.2000
↗0.050, 0.02%
29      304.2000
→0.000, 0.00%
30      304.2000
→0.000, 0.00%
31      304.2000
→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”),315.000,315.00],[new Date(“2016-12-02”),314.000,314.00],[new Date(“2016-12-03”),314.000,314.00],[new Date(“2016-12-04”),314.000,314.00],[new Date(“2016-12-05”),314.000,314.00],[new Date(“2016-12-06”),315.000,315.00],[new Date(“2016-12-07”),314.000,314.00],[new Date(“2016-12-08”),315.000,315.00],[new Date(“2016-12-09”),315.000,315.00],[new Date(“2016-12-10”),315.000,315.00],[new Date(“2016-12-11”),315.000,315.00],[new Date(“2016-12-12”),314.000,314.00],[new Date(“2016-12-13”),315.000,315.00],[new Date(“2016-12-14”),315.000,315.00],[new Date(“2016-12-15”),315.000,315.00],[new Date(“2016-12-16”),315.000,315.00],[new Date(“2016-12-17”),315.000,315.00],[new Date(“2016-12-18”),315.000,315.00],[new Date(“2016-12-19”),315.000,315.00],[new Date(“2016-12-20”),315.000,315.00],[new Date(“2016-12-21”),315.000,315.00],[new Date(“2016-12-22”),314.000,314.00],[new Date(“2016-12-23”),314.000,314.00],[new Date(“2016-12-24”),315.000,315.00],[new Date(“2016-12-25”),304.250,304.25],[new Date(“2016-12-26”),304.250,304.25],[new Date(“2016-12-27”),304.250,304.25],[new Date(“2016-12-28”),304.200,304.20],[new Date(“2016-12-29”),304.200,304.20],[new Date(“2016-12-30”),304.200,304.20],[new Date(“2016-12-31″),304.200,304.20],]);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      304.5045
02      303.9999
↗0.505, 0.17%
03      303.9998
↗0.000, 0.00%
04      304.0003
↘0.001, 0.00%
05      304.0003
→0.000, 0.00%
06      304.0003
↗0.000, 0.00%
07      304.0000
↗0.000, 0.00%
08      304.0001
↘0.000, 0.00%
09      304.0004
↘0.000, 0.00%
10      303.9999
↗0.001, 0.00%
11      304.0003
↘0.000, 0.00%
12      304.0003
→0.000, 0.00%
13      304.0004
↘0.000, 0.00%
14      304.0000
↗0.000, 0.00%
15      303.9997
↗0.000, 0.00%
16      303.9999
↘0.000, 0.00%
17      304.0000
↘0.000, 0.00%
18      304.0003
↘0.000, 0.00%
19      304.0003
→0.000, 0.00%
20      303.9999
↗0.000, 0.00%
21      315.0000
↘11.000, 3.62%
22      314.9997
↗0.000, 0.00%
23      314.9996
↗0.000, 0.00%
24      315.0004
↘0.001, 0.00%
25      313.0003
↗2.000, 0.63%
26      314.0003
↘1.000, 0.32%
27      313.9998
↗0.001, 0.00%
28      314.0004
↘0.001, 0.00%
29      313.9997
↗0.001, 0.00%
30      313.9996
↗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”),304.504,304.50],[new Date(“2016-11-02”),304.000,304.00],[new Date(“2016-11-03”),304.000,304.00],[new Date(“2016-11-04”),304.000,304.00],[new Date(“2016-11-05”),304.000,304.00],[new Date(“2016-11-06”),304.000,304.00],[new Date(“2016-11-07”),304.000,304.00],[new Date(“2016-11-08”),304.000,304.00],[new Date(“2016-11-09”),304.000,304.00],[new Date(“2016-11-10”),304.000,304.00],[new Date(“2016-11-11”),304.000,304.00],[new Date(“2016-11-12”),304.000,304.00],[new Date(“2016-11-13”),304.000,304.00],[new Date(“2016-11-14”),304.000,304.00],[new Date(“2016-11-15”),304.000,304.00],[new Date(“2016-11-16”),304.000,304.00],[new Date(“2016-11-17”),304.000,304.00],[new Date(“2016-11-18”),304.000,304.00],[new Date(“2016-11-19”),304.000,304.00],[new Date(“2016-11-20”),304.000,304.00],[new Date(“2016-11-21”),315.000,315.00],[new Date(“2016-11-22”),315.000,315.00],[new Date(“2016-11-23”),315.000,315.00],[new Date(“2016-11-24”),315.000,315.00],[new Date(“2016-11-25”),313.000,313.00],[new Date(“2016-11-26”),314.000,314.00],[new Date(“2016-11-27”),314.000,314.00],[new Date(“2016-11-28”),314.000,314.00],[new Date(“2016-11-29”),314.000,314.00],[new Date(“2016-11-30″),314.000,314.00],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2016

01      304.5037
02      304.4987
↗0.005, 0.00%
03      304.2503
↗0.248, 0.08%
04      304.2506
↘0.000, 0.00%
05      304.2000
↗0.051, 0.02%
06      304.2502
↘0.050, 0.02%
07      304.0003
↗0.250, 0.08%
08      304.0003
→0.000, 0.00%
09      304.0000
↗0.000, 0.00%
10      303.9998
↗0.000, 0.00%
11      304.2502
↘0.250, 0.08%
12      304.2502
↗0.000, 0.00%
13      304.2498
↗0.000, 0.00%
14      304.0003
↗0.249, 0.08%
15      304.0003
→0.000, 0.00%
16      304.0001
↗0.000, 0.00%
17      304.0003
↘0.000, 0.00%
18      304.0003
↗0.000, 0.00%
19      304.5157
↘0.515, 0.17%
20      304.5064
↗0.009, 0.00%
21      304.2504
↗0.256, 0.08%
22      304.2504
→0.000, 0.00%
23      304.2496
↗0.001, 0.00%
24      304.2494
↗0.000, 0.00%
25      304.5032
↘0.254, 0.08%
26      304.5019
↗0.001, 0.00%
27      317.5500
↘13.048, 4.29%
28      304.5037
↗13.046, 4.11%
29      304.5037
→0.000, 0.00%
30      304.4985
↗0.005, 0.00%
31      304.5159
↘0.017, 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”),304.504,304.50],[new Date(“2016-10-02”),304.499,304.50],[new Date(“2016-10-03”),304.250,304.25],[new Date(“2016-10-04”),304.251,304.25],[new Date(“2016-10-05”),304.200,304.20],[new Date(“2016-10-06”),304.250,304.25],[new Date(“2016-10-07”),304.000,304.00],[new Date(“2016-10-08”),304.000,304.00],[new Date(“2016-10-09”),304.000,304.00],[new Date(“2016-10-10”),304.000,304.00],[new Date(“2016-10-11”),304.250,304.25],[new Date(“2016-10-12”),304.250,304.25],[new Date(“2016-10-13”),304.250,304.25],[new Date(“2016-10-14”),304.000,304.00],[new Date(“2016-10-15”),304.000,304.00],[new Date(“2016-10-16”),304.000,304.00],[new Date(“2016-10-17”),304.000,304.00],[new Date(“2016-10-18”),304.000,304.00],[new Date(“2016-10-19”),304.516,304.52],[new Date(“2016-10-20”),304.506,304.51],[new Date(“2016-10-21”),304.250,304.25],[new Date(“2016-10-22”),304.250,304.25],[new Date(“2016-10-23”),304.250,304.25],[new Date(“2016-10-24”),304.249,304.25],[new Date(“2016-10-25”),304.503,304.50],[new Date(“2016-10-26”),304.502,304.50],[new Date(“2016-10-27”),317.550,317.55],[new Date(“2016-10-28”),304.504,304.50],[new Date(“2016-10-29”),304.504,304.50],[new Date(“2016-10-30”),304.498,304.50],[new Date(“2016-10-31″),304.516,304.52],]);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      304.9997
02      304.0003
↗0.999, 0.33%
03      304.0003
→0.000, 0.00%
04      316.9999
↘13.000, 4.28%
05      317.0004
↘0.000, 0.00%
06      304.5003
↗12.500, 3.94%
07      304.5028
↘0.003, 0.00%
08      304.0003
↗0.503, 0.17%
09      304.0003
↘0.000, 0.00%
10      304.0003
→0.000, 0.00%
11      303.9999
↗0.000, 0.00%
12      304.5063
↘0.506, 0.17%
13      304.5059
↗0.000, 0.00%
14      304.2000
↗0.306, 0.10%
15      304.3000
↘0.100, 0.03%
16      304.0003
↗0.300, 0.10%
17      304.0003
→0.000, 0.00%
18      304.0003
↗0.000, 0.00%
19      304.0000
↗0.000, 0.00%
20      305.5047
↘1.505, 0.49%
21      303.9998
↗1.505, 0.49%
22      304.0004
↘0.001, 0.00%
23      304.5037
↘0.503, 0.17%
24      304.5037
→0.000, 0.00%
25      304.4983
↗0.005, 0.00%
26      304.5038
↘0.005, 0.00%
27      304.0000
↗0.504, 0.17%
28      304.4971
↘0.497, 0.16%
29      304.4999
↘0.003, 0.00%
30      304.5037
↘0.004, 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(“2016-09-01”),305.000,305.00],[new Date(“2016-09-02”),304.000,304.00],[new Date(“2016-09-03”),304.000,304.00],[new Date(“2016-09-04”),317.000,317.00],[new Date(“2016-09-05”),317.000,317.00],[new Date(“2016-09-06”),304.500,304.50],[new Date(“2016-09-07”),304.503,304.50],[new Date(“2016-09-08”),304.000,304.00],[new Date(“2016-09-09”),304.000,304.00],[new Date(“2016-09-10”),304.000,304.00],[new Date(“2016-09-11”),304.000,304.00],[new Date(“2016-09-12”),304.506,304.51],[new Date(“2016-09-13”),304.506,304.51],[new Date(“2016-09-14”),304.200,304.20],[new Date(“2016-09-15”),304.300,304.30],[new Date(“2016-09-16”),304.000,304.00],[new Date(“2016-09-17”),304.000,304.00],[new Date(“2016-09-18”),304.000,304.00],[new Date(“2016-09-19”),304.000,304.00],[new Date(“2016-09-20”),305.505,305.50],[new Date(“2016-09-21”),304.000,304.00],[new Date(“2016-09-22”),304.000,304.00],[new Date(“2016-09-23”),304.504,304.50],[new Date(“2016-09-24”),304.504,304.50],[new Date(“2016-09-25”),304.498,304.50],[new Date(“2016-09-26”),304.504,304.50],[new Date(“2016-09-27”),304.000,304.00],[new Date(“2016-09-28”),304.497,304.50],[new Date(“2016-09-29”),304.500,304.50],[new Date(“2016-09-30″),304.504,304.50],]);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      319.4909
02      316.9999
↗2.491, 0.78%
03      319.9998
↘3.000, 0.95%
04      315.6000
↗4.400, 1.37%
05      319.0003
↘3.400, 1.08%
06      319.0003
→0.000, 0.00%
07      319.0001
↗0.000, 0.00%
08      316.4800
↗2.520, 0.79%
09      319.5037
↘3.024, 0.96%
10      321.5019
↘1.998, 0.63%
11      320.0002
↗1.502, 0.47%
12      310.0003
↗10.000, 3.12%
13      310.0003
→0.000, 0.00%
14      310.0001
↗0.000, 0.00%
15      310.4992
↘0.499, 0.16%
16      314.9996
↘4.500, 1.45%
17      321.0000
↘6.000, 1.90%
18      350.0002
↘29.000, 9.03%
19      340.0003
↗10.000, 2.86%
20      340.0003
→0.000, 0.00%
21      340.0006
↘0.000, 0.00%
22      329.0000
↗11.001, 3.24%
23      330.0002
↘1.000, 0.30%
24      330.0000
↗0.000, 0.00%
25      315.0001
↗15.000, 4.55%
26      314.7504
↗0.250, 0.08%
27      314.7504
→0.000, 0.00%
28      314.7496
↗0.001, 0.00%
29      314.9999
↘0.250, 0.08%
30      304.0003
↗11.000, 3.49%
31      304.5426
↘0.542, 0.18%
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”),319.491,319.49],[new Date(“2016-08-02”),317.000,317.00],[new Date(“2016-08-03”),320.000,320.00],[new Date(“2016-08-04”),315.600,315.60],[new Date(“2016-08-05”),319.000,319.00],[new Date(“2016-08-06”),319.000,319.00],[new Date(“2016-08-07”),319.000,319.00],[new Date(“2016-08-08”),316.480,316.48],[new Date(“2016-08-09”),319.504,319.50],[new Date(“2016-08-10”),321.502,321.50],[new Date(“2016-08-11”),320.000,320.00],[new Date(“2016-08-12”),310.000,310.00],[new Date(“2016-08-13”),310.000,310.00],[new Date(“2016-08-14”),310.000,310.00],[new Date(“2016-08-15”),310.499,310.50],[new Date(“2016-08-16”),315.000,315.00],[new Date(“2016-08-17”),321.000,321.00],[new Date(“2016-08-18”),350.000,350.00],[new Date(“2016-08-19”),340.000,340.00],[new Date(“2016-08-20”),340.000,340.00],[new Date(“2016-08-21”),340.001,340.00],[new Date(“2016-08-22”),329.000,329.00],[new Date(“2016-08-23”),330.000,330.00],[new Date(“2016-08-24”),330.000,330.00],[new Date(“2016-08-25”),315.000,315.00],[new Date(“2016-08-26”),314.750,314.75],[new Date(“2016-08-27”),314.750,314.75],[new Date(“2016-08-28”),314.750,314.75],[new Date(“2016-08-29”),315.000,315.00],[new Date(“2016-08-30”),304.000,304.00],[new Date(“2016-08-31″),304.543,304.54],]);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      282.1569
02      282.3959
↘0.239, 0.08%
03      282.2510
↗0.145, 0.05%
04      282.0930
↗0.158, 0.06%
05      282.4630
↘0.370, 0.13%
06      281.9352
↗0.528, 0.19%
07      282.3151
↘0.380, 0.13%
08      281.9422
↗0.373, 0.13%
09      282.0198
↘0.078, 0.03%
10      282.1358
↘0.116, 0.04%
11      282.1875
↘0.052, 0.02%
12      283.3500
↘1.163, 0.41%
13      282.6713
↗0.679, 0.24%
14      283.5885
↘0.917, 0.32%
15      284.0003
↘0.412, 0.15%
16      284.0003
→0.000, 0.00%
17      284.0003
↗0.000, 0.00%
18      295.0001
↘11.000, 3.87%
19      292.9999
↗2.000, 0.68%
20      294.4679
↘1.468, 0.50%
21      293.5072
↗0.961, 0.33%
22      305.0003
↘11.493, 3.92%
23      305.0003
→0.000, 0.00%
24      304.9997
↗0.001, 0.00%
25      308.5025
↘3.503, 1.15%
26      312.0004
↘3.498, 1.13%
27      314.5022
↘2.502, 0.80%
28      315.0003
↘0.498, 0.16%
29      319.2504
↘4.250, 1.35%
30      319.2504
→0.000, 0.00%
31      319.2497
↗0.001, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-07-01”),282.157,282.16],[new Date(“2016-07-02”),282.396,282.40],[new Date(“2016-07-03”),282.251,282.25],[new Date(“2016-07-04”),282.093,282.09],[new Date(“2016-07-05”),282.463,282.46],[new Date(“2016-07-06”),281.935,281.94],[new Date(“2016-07-07”),282.315,282.32],[new Date(“2016-07-08”),281.942,281.94],[new Date(“2016-07-09”),282.020,282.02],[new Date(“2016-07-10”),282.136,282.14],[new Date(“2016-07-11”),282.188,282.19],[new Date(“2016-07-12”),283.350,283.35],[new Date(“2016-07-13”),282.671,282.67],[new Date(“2016-07-14”),283.589,283.59],[new Date(“2016-07-15”),284.000,284.00],[new Date(“2016-07-16”),284.000,284.00],[new Date(“2016-07-17”),284.000,284.00],[new Date(“2016-07-18”),295.000,295.00],[new Date(“2016-07-19”),293.000,293.00],[new Date(“2016-07-20”),294.468,294.47],[new Date(“2016-07-21”),293.507,293.51],[new Date(“2016-07-22”),305.000,305.00],[new Date(“2016-07-23”),305.000,305.00],[new Date(“2016-07-24”),305.000,305.00],[new Date(“2016-07-25”),308.502,308.50],[new Date(“2016-07-26”),312.000,312.00],[new Date(“2016-07-27”),314.502,314.50],[new Date(“2016-07-28”),315.000,315.00],[new Date(“2016-07-29”),319.250,319.25],[new Date(“2016-07-30”),319.250,319.25],[new Date(“2016-07-31″),319.250,319.25],]);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      199.0715
02      198.9477
↗0.124, 0.06%
03      199.0330
↘0.085, 0.04%
04      199.1704
↘0.137, 0.07%
05      199.1654
↗0.005, 0.00%
06      199.0360
↗0.129, 0.06%
07      198.5094
↗0.527, 0.26%
08      198.9411
↘0.432, 0.22%
09      199.0491
↘0.108, 0.05%
10      199.1133
↘0.064, 0.03%
11      199.2400
↘0.127, 0.06%
12      199.0388
↗0.201, 0.10%
13      198.9770
↗0.062, 0.03%
14      198.9809
↘0.004, 0.00%
15      198.6840
↗0.297, 0.15%
16      199.0033
↘0.319, 0.16%
17      198.8713
↗0.132, 0.07%
18      198.9991
↘0.128, 0.06%
19      198.8660
↗0.133, 0.07%
20      199.0788
↘0.213, 0.11%
21      204.5139
↘5.435, 2.73%
22      282.4050
↘77.891, 38.09%
23      283.1204
↘0.715, 0.25%
24      281.4910
↗1.629, 0.58%
25      281.5113
↘0.020, 0.01%
26      281.0870
↗0.424, 0.15%
27      281.5725
↘0.486, 0.17%
28      282.1870
↘0.615, 0.22%
29      282.3886
↘0.202, 0.07%
30      282.1510
↗0.238, 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”),199.072,199.07],[new Date(“2016-06-02”),198.948,198.95],[new Date(“2016-06-03”),199.033,199.03],[new Date(“2016-06-04”),199.170,199.17],[new Date(“2016-06-05”),199.165,199.17],[new Date(“2016-06-06”),199.036,199.04],[new Date(“2016-06-07”),198.509,198.51],[new Date(“2016-06-08”),198.941,198.94],[new Date(“2016-06-09”),199.049,199.05],[new Date(“2016-06-10”),199.113,199.11],[new Date(“2016-06-11”),199.240,199.24],[new Date(“2016-06-12”),199.039,199.04],[new Date(“2016-06-13”),198.977,198.98],[new Date(“2016-06-14”),198.981,198.98],[new Date(“2016-06-15”),198.684,198.68],[new Date(“2016-06-16”),199.003,199.00],[new Date(“2016-06-17”),198.871,198.87],[new Date(“2016-06-18”),198.999,199.00],[new Date(“2016-06-19”),198.866,198.87],[new Date(“2016-06-20”),199.079,199.08],[new Date(“2016-06-21”),204.514,204.51],[new Date(“2016-06-22”),282.405,282.41],[new Date(“2016-06-23”),283.120,283.12],[new Date(“2016-06-24”),281.491,281.49],[new Date(“2016-06-25”),281.511,281.51],[new Date(“2016-06-26”),281.087,281.09],[new Date(“2016-06-27”),281.573,281.57],[new Date(“2016-06-28”),282.187,282.19],[new Date(“2016-06-29”),282.389,282.39],[new Date(“2016-06-30″),282.151,282.15],]);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, 2016

01      198.8433
02      199.0710
↘0.228, 0.11%
03      199.1845
↘0.114, 0.06%
04      198.9188
↗0.266, 0.13%
05      199.0480
↘0.129, 0.06%
06      199.0436
↗0.004, 0.00%
07      199.0230
↗0.021, 0.01%
08      199.0440
↘0.021, 0.01%
09      199.0000
↗0.044, 0.02%
10      199.1395
↘0.139, 0.07%
11      199.1416
↘0.002, 0.00%
12      199.0788
↗0.063, 0.03%
13      199.0988
↘0.020, 0.01%
14      199.1420
↘0.043, 0.02%
15      199.0900
↗0.052, 0.03%
16      199.1060
↘0.016, 0.01%
17      199.1410
↘0.035, 0.02%
18      199.0340
↗0.107, 0.05%
19      199.0700
↘0.036, 0.02%
20      199.2478
↘0.178, 0.09%
21      199.1366
↗0.111, 0.06%
22      199.0516
↗0.085, 0.04%
23      199.0080
↗0.044, 0.02%
24      199.0846
↘0.077, 0.04%
25      199.0333
↗0.051, 0.03%
26      199.1393
↘0.106, 0.05%
27      198.9550
↗0.184, 0.09%
28      199.0507
↘0.096, 0.05%
29      199.0840
↘0.033, 0.02%
30      199.0880
↘0.004, 0.00%
31      199.1533
↘0.065, 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”),198.843,198.84],[new Date(“2016-05-02”),199.071,199.07],[new Date(“2016-05-03”),199.185,199.18],[new Date(“2016-05-04”),198.919,198.92],[new Date(“2016-05-05”),199.048,199.05],[new Date(“2016-05-06”),199.044,199.04],[new Date(“2016-05-07”),199.023,199.02],[new Date(“2016-05-08”),199.044,199.04],[new Date(“2016-05-09”),199.000,199.00],[new Date(“2016-05-10”),199.140,199.14],[new Date(“2016-05-11”),199.142,199.14],[new Date(“2016-05-12”),199.079,199.08],[new Date(“2016-05-13”),199.099,199.10],[new Date(“2016-05-14”),199.142,199.14],[new Date(“2016-05-15”),199.090,199.09],[new Date(“2016-05-16”),199.106,199.11],[new Date(“2016-05-17”),199.141,199.14],[new Date(“2016-05-18”),199.034,199.03],[new Date(“2016-05-19”),199.070,199.07],[new Date(“2016-05-20”),199.248,199.25],[new Date(“2016-05-21”),199.137,199.14],[new Date(“2016-05-22”),199.052,199.05],[new Date(“2016-05-23”),199.008,199.01],[new Date(“2016-05-24”),199.085,199.08],[new Date(“2016-05-25”),199.033,199.03],[new Date(“2016-05-26”),199.139,199.14],[new Date(“2016-05-27”),198.955,198.96],[new Date(“2016-05-28”),199.051,199.05],[new Date(“2016-05-29”),199.084,199.08],[new Date(“2016-05-30”),199.088,199.09],[new Date(“2016-05-31″),199.153,199.15],]);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_5’));
chart.draw(data, options);
}

April, 2016

01      199.0143
02      199.0659
↘0.052, 0.03%
03      199.0639
↗0.002, 0.00%
04      199.1460
↘0.082, 0.04%
05      199.1331
↗0.013, 0.01%
06      198.9162
↗0.217, 0.11%
07      199.0957
↘0.179, 0.09%
08      199.0876
↗0.008, 0.00%
09      199.1745
↘0.087, 0.04%
10      199.1700
↗0.005, 0.00%
11      199.1120
↗0.058, 0.03%
12      198.9306
↗0.181, 0.09%
13      199.0263
↘0.096, 0.05%
14      199.0617
↘0.035, 0.02%
15      198.9982
↗0.064, 0.03%
16      198.9709
↗0.027, 0.01%
17      198.8980
↗0.073, 0.04%
18      199.0360
↘0.138, 0.07%
19      198.9858
↗0.050, 0.03%
20      198.9227
↗0.063, 0.03%
21      198.9859
↘0.063, 0.03%
22      199.2143
↘0.228, 0.11%
23      199.1496
↗0.065, 0.03%
24      199.0150
↗0.135, 0.07%
25      199.1800
↘0.165, 0.08%
26      199.0540
↗0.126, 0.06%
27      198.9876
↗0.066, 0.03%
28      198.9049
↗0.083, 0.04%
29      199.0581
↘0.153, 0.08%
30      199.0796
↘0.022, 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(“2016-04-01”),199.014,199.01],[new Date(“2016-04-02”),199.066,199.07],[new Date(“2016-04-03”),199.064,199.06],[new Date(“2016-04-04”),199.146,199.15],[new Date(“2016-04-05”),199.133,199.13],[new Date(“2016-04-06”),198.916,198.92],[new Date(“2016-04-07”),199.096,199.10],[new Date(“2016-04-08”),199.088,199.09],[new Date(“2016-04-09”),199.174,199.17],[new Date(“2016-04-10”),199.170,199.17],[new Date(“2016-04-11”),199.112,199.11],[new Date(“2016-04-12”),198.931,198.93],[new Date(“2016-04-13”),199.026,199.03],[new Date(“2016-04-14”),199.062,199.06],[new Date(“2016-04-15”),198.998,199.00],[new Date(“2016-04-16”),198.971,198.97],[new Date(“2016-04-17”),198.898,198.90],[new Date(“2016-04-18”),199.036,199.04],[new Date(“2016-04-19”),198.986,198.99],[new Date(“2016-04-20”),198.923,198.92],[new Date(“2016-04-21”),198.986,198.99],[new Date(“2016-04-22”),199.214,199.21],[new Date(“2016-04-23”),199.150,199.15],[new Date(“2016-04-24”),199.015,199.02],[new Date(“2016-04-25”),199.180,199.18],[new Date(“2016-04-26”),199.054,199.05],[new Date(“2016-04-27”),198.988,198.99],[new Date(“2016-04-28”),198.905,198.90],[new Date(“2016-04-29”),199.058,199.06],[new Date(“2016-04-30″),199.080,199.08],]);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_4’));
chart.draw(data, options);
}

March, 2016

01      199.3045
02      198.9853
↗0.319, 0.16%
03      198.9588
↗0.027, 0.01%
04      199.1993
↘0.241, 0.12%
05      199.0858
↗0.113, 0.06%
06      199.1430
↘0.057, 0.03%
07      199.1020
↗0.041, 0.02%
08      199.0665
↗0.035, 0.02%
09      198.8570
↗0.209, 0.11%
10      198.9873
↘0.130, 0.07%
11      198.7259
↗0.261, 0.13%
12      198.2355
↗0.490, 0.25%
13      198.2480
↘0.012, 0.01%
14      198.9180
↘0.670, 0.34%
15      198.8724
↗0.046, 0.02%
16      198.6339
↗0.238, 0.12%
17      199.0920
↘0.458, 0.23%
18      198.7974
↗0.295, 0.15%
19      199.0810
↘0.284, 0.14%
20      199.1014
↘0.020, 0.01%
21      199.0960
↗0.005, 0.00%
22      199.0960
→0.000, 0.00%
23      199.0053
↗0.091, 0.05%
24      199.0986
↘0.093, 0.05%
25      199.0737
↗0.025, 0.01%
26      199.0567
↗0.017, 0.01%
27      199.1190
↘0.062, 0.03%
28      198.9900
↗0.129, 0.06%
29      198.9258
↗0.064, 0.03%
30      198.9225
↗0.003, 0.00%
31      198.9437
↘0.021, 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(“2016-03-01”),199.305,199.30],[new Date(“2016-03-02”),198.985,198.99],[new Date(“2016-03-03”),198.959,198.96],[new Date(“2016-03-04”),199.199,199.20],[new Date(“2016-03-05”),199.086,199.09],[new Date(“2016-03-06”),199.143,199.14],[new Date(“2016-03-07”),199.102,199.10],[new Date(“2016-03-08”),199.067,199.07],[new Date(“2016-03-09”),198.857,198.86],[new Date(“2016-03-10”),198.987,198.99],[new Date(“2016-03-11”),198.726,198.73],[new Date(“2016-03-12”),198.236,198.24],[new Date(“2016-03-13”),198.248,198.25],[new Date(“2016-03-14”),198.918,198.92],[new Date(“2016-03-15”),198.872,198.87],[new Date(“2016-03-16”),198.634,198.63],[new Date(“2016-03-17”),199.092,199.09],[new Date(“2016-03-18”),198.797,198.80],[new Date(“2016-03-19”),199.081,199.08],[new Date(“2016-03-20”),199.101,199.10],[new Date(“2016-03-21”),199.096,199.10],[new Date(“2016-03-22”),199.096,199.10],[new Date(“2016-03-23”),199.005,199.01],[new Date(“2016-03-24”),199.099,199.10],[new Date(“2016-03-25”),199.074,199.07],[new Date(“2016-03-26”),199.057,199.06],[new Date(“2016-03-27”),199.119,199.12],[new Date(“2016-03-28”),198.990,198.99],[new Date(“2016-03-29”),198.926,198.93],[new Date(“2016-03-30”),198.922,198.92],[new Date(“2016-03-31″),198.944,198.94],]);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      198.9890
02      198.9996
↘0.011, 0.01%
03      198.4019
↗0.598, 0.30%
04      199.0798
↘0.678, 0.34%
05      198.6663
↗0.413, 0.21%
06      198.9666
↘0.300, 0.15%
07      199.0260
↘0.059, 0.03%
08      198.9420
↗0.084, 0.04%
09      198.7435
↗0.199, 0.10%
10      198.8608
↘0.117, 0.06%
11      198.9618
↘0.101, 0.05%
12      198.8789
↗0.083, 0.04%
13      199.1246
↘0.246, 0.12%
14      199.2800
↘0.155, 0.08%
15      198.8020
↗0.478, 0.24%
16      199.0583
↘0.256, 0.13%
17      199.0720
↘0.014, 0.01%
18      198.8801
↗0.192, 0.10%
19      199.0032
↘0.123, 0.06%
20      199.0790
↘0.076, 0.04%
21      198.8620
↗0.217, 0.11%
22      199.1240
↘0.262, 0.13%
23      198.9670
↗0.157, 0.08%
24      198.8294
↗0.138, 0.07%
25      198.7874
↗0.042, 0.02%
26      198.9044
↘0.117, 0.06%
27      198.8833
↗0.021, 0.01%
28      199.7760
↘0.893, 0.45%
29      198.9830
↗0.793, 0.40%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-02-01”),198.989,198.99],[new Date(“2016-02-02”),199.000,199.00],[new Date(“2016-02-03”),198.402,198.40],[new Date(“2016-02-04”),199.080,199.08],[new Date(“2016-02-05”),198.666,198.67],[new Date(“2016-02-06”),198.967,198.97],[new Date(“2016-02-07”),199.026,199.03],[new Date(“2016-02-08”),198.942,198.94],[new Date(“2016-02-09”),198.744,198.74],[new Date(“2016-02-10”),198.861,198.86],[new Date(“2016-02-11”),198.962,198.96],[new Date(“2016-02-12”),198.879,198.88],[new Date(“2016-02-13”),199.125,199.12],[new Date(“2016-02-14”),199.280,199.28],[new Date(“2016-02-15”),198.802,198.80],[new Date(“2016-02-16”),199.058,199.06],[new Date(“2016-02-17”),199.072,199.07],[new Date(“2016-02-18”),198.880,198.88],[new Date(“2016-02-19”),199.003,199.00],[new Date(“2016-02-20”),199.079,199.08],[new Date(“2016-02-21”),198.862,198.86],[new Date(“2016-02-22”),199.124,199.12],[new Date(“2016-02-23”),198.967,198.97],[new Date(“2016-02-24”),198.829,198.83],[new Date(“2016-02-25”),198.787,198.79],[new Date(“2016-02-26”),198.904,198.90],[new Date(“2016-02-27”),198.883,198.88],[new Date(“2016-02-28”),199.776,199.78],[new Date(“2016-02-29″),198.983,198.98],]);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      199.2593
02      199.2350
↗0.024, 0.01%
03      199.2080
↗0.027, 0.01%
04      199.3970
↘0.189, 0.09%
05      199.1493
↗0.248, 0.12%
06      199.0371
↗0.112, 0.06%
07      198.7946
↗0.243, 0.12%
08      199.2605
↘0.466, 0.23%
09      199.1732
↗0.087, 0.04%
10      198.9640
↗0.209, 0.11%
11      198.9910
↘0.027, 0.01%
12      198.9279
↗0.063, 0.03%
13      198.8586
↗0.069, 0.03%
14      199.1253
↘0.267, 0.13%
15      198.8423
↗0.283, 0.14%
16      199.1000
↘0.258, 0.13%
17      198.9700
↗0.130, 0.07%
18      199.1090
↘0.139, 0.07%
19      198.8443
↗0.265, 0.13%
20      199.2415
↘0.397, 0.20%
21      198.9255
↗0.316, 0.16%
22      199.0425
↘0.117, 0.06%
23      199.0448
↘0.002, 0.00%
24      199.2600
↘0.215, 0.11%
25      198.9900
↗0.270, 0.14%
26      198.9780
↗0.012, 0.01%
27      199.0329
↘0.055, 0.03%
28      198.8732
↗0.160, 0.08%
29      198.9849
↘0.112, 0.06%
30      198.9832
↗0.002, 0.00%
31      199.7720
↘0.789, 0.40%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-01-01”),199.259,199.26],[new Date(“2016-01-02”),199.235,199.24],[new Date(“2016-01-03”),199.208,199.21],[new Date(“2016-01-04”),199.397,199.40],[new Date(“2016-01-05”),199.149,199.15],[new Date(“2016-01-06”),199.037,199.04],[new Date(“2016-01-07”),198.795,198.79],[new Date(“2016-01-08”),199.261,199.26],[new Date(“2016-01-09”),199.173,199.17],[new Date(“2016-01-10”),198.964,198.96],[new Date(“2016-01-11”),198.991,198.99],[new Date(“2016-01-12”),198.928,198.93],[new Date(“2016-01-13”),198.859,198.86],[new Date(“2016-01-14”),199.125,199.13],[new Date(“2016-01-15”),198.842,198.84],[new Date(“2016-01-16”),199.100,199.10],[new Date(“2016-01-17”),198.970,198.97],[new Date(“2016-01-18”),199.109,199.11],[new Date(“2016-01-19”),198.844,198.84],[new Date(“2016-01-20”),199.241,199.24],[new Date(“2016-01-21”),198.925,198.93],[new Date(“2016-01-22”),199.043,199.04],[new Date(“2016-01-23”),199.045,199.04],[new Date(“2016-01-24”),199.260,199.26],[new Date(“2016-01-25”),198.990,198.99],[new Date(“2016-01-26”),198.978,198.98],[new Date(“2016-01-27”),199.033,199.03],[new Date(“2016-01-28”),198.873,198.87],[new Date(“2016-01-29”),198.985,198.98],[new Date(“2016-01-30”),198.983,198.98],[new Date(“2016-01-31″),199.772,199.77],]);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_1’));
chart.draw(data, options);
}