Nigerian Naira NGN 2013 Conversion Rates

  • Opening Value is 156.052680 NGN per Dollar
  • Closing Value is 160.417699 NGN per Dollar
  • Change in Value during 2013 is 4.3650 which is 2.80%
  • Best Performance is on 2013-01-10 with 155.482190 NGN per Dollar
  • Lowest Performance is on 2013-09-05 with 163.891510 NGN per Dollar
  • Average Value is 159.2581 NGN per Dollar
  • Swing Between the higest and the lowest is 8.4093 per Dollar, that is 5.39% compared to the opening value.

USD to NGN Conversion Rates – 12 months

Date 1 USD =
2013-12-31 160.4177 NGN
2013-11-30 158.3275 NGN
2013-10-31 159.2077 NGN
2013-09-30 160.6955 NGN
2013-08-31 162.4697 NGN
2013-07-31 160.4035 NGN
2013-06-30 162.4991 NGN
2013-05-31 158.3186 NGN
2013-04-30 158.0484 NGN
2013-03-31 158.4354 NGN
2013-02-28 158.4226 NGN
2013-01-31 157.0514 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(“2013-12-31”),160.418,160.42],[new Date(“2013-11-30”),158.327,158.33],[new Date(“2013-10-31”),159.208,159.21],[new Date(“2013-09-30”),160.696,160.70],[new Date(“2013-08-31”),162.470,162.47],[new Date(“2013-07-31”),160.403,160.40],[new Date(“2013-06-30”),162.499,162.50],[new Date(“2013-05-31”),158.319,158.32],[new Date(“2013-04-30”),158.048,158.05],[new Date(“2013-03-31”),158.435,158.44],[new Date(“2013-02-28”),158.423,158.42],[new Date(“2013-01-31”),157.051,157.05],]);var options = {
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‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2013

01      158.5040
02      158.5510
↘0.047, 0.03%
03      158.2901
↗0.261, 0.16%
04      158.5309
↘0.241, 0.15%
05      158.3894
↗0.142, 0.09%
06      158.3994
↘0.010, 0.01%
07      158.2256
↗0.174, 0.11%
08      158.1340
↗0.092, 0.06%
09      158.3960
↘0.262, 0.17%
10      158.2434
↗0.153, 0.10%
11      158.4379
↘0.195, 0.12%
12      158.5819
↘0.144, 0.09%
13      158.6894
↘0.108, 0.07%
14      158.7949
↘0.106, 0.07%
15      158.6720
↗0.123, 0.08%
16      158.4590
↗0.213, 0.13%
17      158.9572
↘0.498, 0.31%
18      159.6712
↘0.714, 0.45%
19      158.7309
↗0.940, 0.59%
20      159.4166
↘0.686, 0.43%
21      159.4038
↗0.013, 0.01%
22      159.0252
↗0.379, 0.24%
23      159.6480
↘0.623, 0.39%
24      159.8767
↘0.229, 0.14%
25      160.0564
↘0.180, 0.11%
26      159.9084
↗0.148, 0.09%
27      160.3791
↘0.471, 0.29%
28      160.3604
↗0.019, 0.01%
29      161.0324
↘0.672, 0.42%
30      161.1790
↘0.147, 0.09%
31      160.4177
↗0.761, 0.47%
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(“2013-12-01”),158.504,158.50],[new Date(“2013-12-02”),158.551,158.55],[new Date(“2013-12-03”),158.290,158.29],[new Date(“2013-12-04”),158.531,158.53],[new Date(“2013-12-05”),158.389,158.39],[new Date(“2013-12-06”),158.399,158.40],[new Date(“2013-12-07”),158.226,158.23],[new Date(“2013-12-08”),158.134,158.13],[new Date(“2013-12-09”),158.396,158.40],[new Date(“2013-12-10”),158.243,158.24],[new Date(“2013-12-11”),158.438,158.44],[new Date(“2013-12-12”),158.582,158.58],[new Date(“2013-12-13”),158.689,158.69],[new Date(“2013-12-14”),158.795,158.79],[new Date(“2013-12-15”),158.672,158.67],[new Date(“2013-12-16”),158.459,158.46],[new Date(“2013-12-17”),158.957,158.96],[new Date(“2013-12-18”),159.671,159.67],[new Date(“2013-12-19”),158.731,158.73],[new Date(“2013-12-20”),159.417,159.42],[new Date(“2013-12-21”),159.404,159.40],[new Date(“2013-12-22”),159.025,159.03],[new Date(“2013-12-23”),159.648,159.65],[new Date(“2013-12-24”),159.877,159.88],[new Date(“2013-12-25”),160.056,160.06],[new Date(“2013-12-26”),159.908,159.91],[new Date(“2013-12-27”),160.379,160.38],[new Date(“2013-12-28”),160.360,160.36],[new Date(“2013-12-29”),161.032,161.03],[new Date(“2013-12-30”),161.179,161.18],[new Date(“2013-12-31″),160.418,160.42],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
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November, 2013

01      158.7960
02      158.9455
↘0.149, 0.09%
03      158.9013
↗0.044, 0.03%
04      158.6265
↗0.275, 0.17%
05      158.5768
↗0.050, 0.03%
06      158.4815
↗0.095, 0.06%
07      158.7963
↘0.315, 0.20%
08      158.6085
↗0.188, 0.12%
09      158.7213
↘0.113, 0.07%
10      158.8983
↘0.177, 0.11%
11      158.9880
↘0.090, 0.06%
12      158.8182
↗0.170, 0.11%
13      159.1864
↘0.368, 0.23%
14      159.1179
↗0.069, 0.04%
15      158.9466
↗0.171, 0.11%
16      159.0208
↘0.074, 0.05%
17      158.5780
↗0.443, 0.28%
18      158.8860
↘0.308, 0.19%
19      158.9799
↘0.094, 0.06%
20      159.0244
↘0.044, 0.03%
21      158.9548
↗0.070, 0.04%
22      158.7826
↗0.172, 0.11%
23      158.7609
↗0.022, 0.01%
24      158.3760
↗0.385, 0.24%
25      158.6780
↘0.302, 0.19%
26      158.7109
↘0.033, 0.02%
27      158.8447
↘0.134, 0.08%
28      158.6622
↗0.182, 0.11%
29      158.3520
↗0.310, 0.20%
30      158.3275
↗0.025, 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”);
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title: ‘Date’
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2013

01      161.2458
02      161.2415
↗0.004, 0.00%
03      161.2280
↗0.013, 0.01%
04      161.3047
↘0.077, 0.05%
05      161.0477
↗0.257, 0.16%
06      161.4430
↘0.395, 0.25%
07      160.6527
↗0.790, 0.49%
08      160.1969
↗0.456, 0.28%
09      160.1023
↗0.095, 0.06%
10      160.6192
↘0.517, 0.32%
11      160.2759
↗0.343, 0.21%
12      160.1983
↗0.078, 0.05%
13      160.3656
↘0.167, 0.10%
14      160.3307
↗0.035, 0.02%
15      159.9460
↗0.385, 0.24%
16      160.2285
↘0.282, 0.18%
17      159.4533
↗0.775, 0.48%
18      159.9196
↘0.466, 0.29%
19      159.8285
↗0.091, 0.06%
20      159.9163
↘0.088, 0.05%
21      159.6618
↗0.255, 0.16%
22      158.8952
↗0.767, 0.48%
23      159.1184
↘0.223, 0.14%
24      158.8438
↗0.275, 0.17%
25      158.8221
↗0.022, 0.01%
26      158.8036
↗0.018, 0.01%
27      158.7202
↗0.083, 0.05%
28      158.6757
↗0.045, 0.03%
29      159.0935
↘0.418, 0.26%
30      158.9567
↗0.137, 0.09%
31      159.2077
↘0.251, 0.16%
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(“2013-10-01”),161.246,161.25],[new Date(“2013-10-02”),161.242,161.24],[new Date(“2013-10-03”),161.228,161.23],[new Date(“2013-10-04”),161.305,161.30],[new Date(“2013-10-05”),161.048,161.05],[new Date(“2013-10-06”),161.443,161.44],[new Date(“2013-10-07”),160.653,160.65],[new Date(“2013-10-08”),160.197,160.20],[new Date(“2013-10-09”),160.102,160.10],[new Date(“2013-10-10”),160.619,160.62],[new Date(“2013-10-11”),160.276,160.28],[new Date(“2013-10-12”),160.198,160.20],[new Date(“2013-10-13”),160.366,160.37],[new Date(“2013-10-14”),160.331,160.33],[new Date(“2013-10-15”),159.946,159.95],[new Date(“2013-10-16”),160.228,160.23],[new Date(“2013-10-17”),159.453,159.45],[new Date(“2013-10-18”),159.920,159.92],[new Date(“2013-10-19”),159.829,159.83],[new Date(“2013-10-20”),159.916,159.92],[new Date(“2013-10-21”),159.662,159.66],[new Date(“2013-10-22”),158.895,158.90],[new Date(“2013-10-23”),159.118,159.12],[new Date(“2013-10-24”),158.844,158.84],[new Date(“2013-10-25”),158.822,158.82],[new Date(“2013-10-26”),158.804,158.80],[new Date(“2013-10-27”),158.720,158.72],[new Date(“2013-10-28”),158.676,158.68],[new Date(“2013-10-29”),159.094,159.09],[new Date(“2013-10-30”),158.957,158.96],[new Date(“2013-10-31″),159.208,159.21],]);var options = {
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title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}

September, 2013

01      162.6739
02      163.0862
↘0.412, 0.25%
03      162.9847
↗0.101, 0.06%
04      162.9172
↗0.068, 0.04%
05      163.8915
↘0.974, 0.60%
06      163.3909
↗0.501, 0.31%
07      163.3642
↗0.027, 0.02%
08      163.0157
↗0.349, 0.21%
09      163.2451
↘0.229, 0.14%
10      163.2025
↗0.043, 0.03%
11      162.9971
↗0.205, 0.13%
12      163.1947
↘0.198, 0.12%
13      162.7132
↗0.481, 0.30%
14      162.5011
↗0.212, 0.13%
15      162.4175
↗0.084, 0.05%
16      162.5151
↘0.098, 0.06%
17      162.0648
↗0.450, 0.28%
18      161.2850
↗0.780, 0.48%
19      161.3393
↘0.054, 0.03%
20      160.9171
↗0.422, 0.26%
21      161.0642
↘0.147, 0.09%
22      161.1901
↘0.126, 0.08%
23      160.2218
↗0.968, 0.60%
24      160.4942
↘0.272, 0.17%
25      159.8799
↗0.614, 0.38%
26      161.1594
↘1.279, 0.80%
27      159.8480
↗1.311, 0.81%
28      159.9811
↘0.133, 0.08%
29      160.0411
↘0.060, 0.04%
30      160.6955
↘0.654, 0.41%
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(“2013-09-01”),162.674,162.67],[new Date(“2013-09-02”),163.086,163.09],[new Date(“2013-09-03”),162.985,162.98],[new Date(“2013-09-04”),162.917,162.92],[new Date(“2013-09-05”),163.892,163.89],[new Date(“2013-09-06”),163.391,163.39],[new Date(“2013-09-07”),163.364,163.36],[new Date(“2013-09-08”),163.016,163.02],[new Date(“2013-09-09”),163.245,163.25],[new Date(“2013-09-10”),163.203,163.20],[new Date(“2013-09-11”),162.997,163.00],[new Date(“2013-09-12”),163.195,163.19],[new Date(“2013-09-13”),162.713,162.71],[new Date(“2013-09-14”),162.501,162.50],[new Date(“2013-09-15”),162.418,162.42],[new Date(“2013-09-16”),162.515,162.52],[new Date(“2013-09-17”),162.065,162.06],[new Date(“2013-09-18”),161.285,161.29],[new Date(“2013-09-19”),161.339,161.34],[new Date(“2013-09-20”),160.917,160.92],[new Date(“2013-09-21”),161.064,161.06],[new Date(“2013-09-22”),161.190,161.19],[new Date(“2013-09-23”),160.222,160.22],[new Date(“2013-09-24”),160.494,160.49],[new Date(“2013-09-25”),159.880,159.88],[new Date(“2013-09-26”),161.159,161.16],[new Date(“2013-09-27”),159.848,159.85],[new Date(“2013-09-28”),159.981,159.98],[new Date(“2013-09-29”),160.041,160.04],[new Date(“2013-09-30″),160.696,160.70],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
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August, 2013

01      160.1143
02      160.0791
↗0.035, 0.02%
03      160.1467
↘0.068, 0.04%
04      159.7114
↗0.435, 0.27%
05      159.8297
↘0.118, 0.07%
06      159.5599
↗0.270, 0.17%
07      159.7730
↘0.213, 0.13%
08      159.9286
↘0.156, 0.10%
09      160.0321
↘0.104, 0.06%
10      160.1073
↘0.075, 0.05%
11      160.1512
↘0.044, 0.03%
12      160.4253
↘0.274, 0.17%
13      160.7077
↘0.282, 0.18%
14      160.8447
↘0.137, 0.09%
15      160.8456
↘0.001, 0.00%
16      161.3799
↘0.534, 0.33%
17      161.4233
↘0.043, 0.03%
18      161.5038
↘0.080, 0.05%
19      161.7293
↘0.225, 0.14%
20      161.3321
↗0.397, 0.25%
21      161.5643
↘0.232, 0.14%
22      161.3706
↗0.194, 0.12%
23      161.4398
↘0.069, 0.04%
24      161.3212
↗0.119, 0.07%
25      161.2171
↗0.104, 0.06%
26      161.4434
↘0.226, 0.14%
27      161.6019
↘0.159, 0.10%
28      162.0341
↘0.432, 0.27%
29      162.8430
↘0.809, 0.50%
30      162.4990
↗0.344, 0.21%
31      162.4697
↗0.029, 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(“2013-08-01”),160.114,160.11],[new Date(“2013-08-02”),160.079,160.08],[new Date(“2013-08-03”),160.147,160.15],[new Date(“2013-08-04”),159.711,159.71],[new Date(“2013-08-05”),159.830,159.83],[new Date(“2013-08-06”),159.560,159.56],[new Date(“2013-08-07”),159.773,159.77],[new Date(“2013-08-08”),159.929,159.93],[new Date(“2013-08-09”),160.032,160.03],[new Date(“2013-08-10”),160.107,160.11],[new Date(“2013-08-11”),160.151,160.15],[new Date(“2013-08-12”),160.425,160.43],[new Date(“2013-08-13”),160.708,160.71],[new Date(“2013-08-14”),160.845,160.84],[new Date(“2013-08-15”),160.846,160.85],[new Date(“2013-08-16”),161.380,161.38],[new Date(“2013-08-17”),161.423,161.42],[new Date(“2013-08-18”),161.504,161.50],[new Date(“2013-08-19”),161.729,161.73],[new Date(“2013-08-20”),161.332,161.33],[new Date(“2013-08-21”),161.564,161.56],[new Date(“2013-08-22”),161.371,161.37],[new Date(“2013-08-23”),161.440,161.44],[new Date(“2013-08-24”),161.321,161.32],[new Date(“2013-08-25”),161.217,161.22],[new Date(“2013-08-26”),161.443,161.44],[new Date(“2013-08-27”),161.602,161.60],[new Date(“2013-08-28”),162.034,162.03],[new Date(“2013-08-29”),162.843,162.84],[new Date(“2013-08-30”),162.499,162.50],[new Date(“2013-08-31″),162.470,162.47],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2013

01      161.9083
02      161.0813
↗0.827, 0.51%
03      160.3281
↗0.753, 0.47%
04      161.5936
↘1.265, 0.79%
05      160.9825
↗0.611, 0.38%
06      161.2270
↘0.245, 0.15%
07      162.3661
↘1.139, 0.71%
08      161.7872
↗0.579, 0.36%
09      162.0445
↘0.257, 0.16%
10      160.3786
↗1.666, 1.03%
11      161.3699
↘0.991, 0.62%
12      161.0728
↗0.297, 0.18%
13      161.2627
↘0.190, 0.12%
14      161.2137
↗0.049, 0.03%
15      161.3185
↘0.105, 0.06%
16      160.9777
↗0.341, 0.21%
17      161.3691
↘0.391, 0.24%
18      161.1760
↗0.193, 0.12%
19      161.1896
↘0.014, 0.01%
20      161.1680
↗0.022, 0.01%
21      160.9943
↗0.174, 0.11%
22      161.2805
↘0.286, 0.18%
23      161.1805
↗0.100, 0.06%
24      160.8208
↗0.360, 0.22%
25      160.5339
↗0.287, 0.18%
26      160.6928
↘0.159, 0.10%
27      160.6114
↗0.081, 0.05%
28      160.6476
↘0.036, 0.02%
29      160.7801
↘0.133, 0.08%
30      160.7854
↘0.005, 0.00%
31      160.4035
↗0.382, 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(“2013-07-01”),161.908,161.91],[new Date(“2013-07-02”),161.081,161.08],[new Date(“2013-07-03”),160.328,160.33],[new Date(“2013-07-04”),161.594,161.59],[new Date(“2013-07-05”),160.983,160.98],[new Date(“2013-07-06”),161.227,161.23],[new Date(“2013-07-07”),162.366,162.37],[new Date(“2013-07-08”),161.787,161.79],[new Date(“2013-07-09”),162.044,162.04],[new Date(“2013-07-10”),160.379,160.38],[new Date(“2013-07-11”),161.370,161.37],[new Date(“2013-07-12”),161.073,161.07],[new Date(“2013-07-13”),161.263,161.26],[new Date(“2013-07-14”),161.214,161.21],[new Date(“2013-07-15”),161.319,161.32],[new Date(“2013-07-16”),160.978,160.98],[new Date(“2013-07-17”),161.369,161.37],[new Date(“2013-07-18”),161.176,161.18],[new Date(“2013-07-19”),161.190,161.19],[new Date(“2013-07-20”),161.168,161.17],[new Date(“2013-07-21”),160.994,160.99],[new Date(“2013-07-22”),161.280,161.28],[new Date(“2013-07-23”),161.180,161.18],[new Date(“2013-07-24”),160.821,160.82],[new Date(“2013-07-25”),160.534,160.53],[new Date(“2013-07-26”),160.693,160.69],[new Date(“2013-07-27”),160.611,160.61],[new Date(“2013-07-28”),160.648,160.65],[new Date(“2013-07-29”),160.780,160.78],[new Date(“2013-07-30”),160.785,160.79],[new Date(“2013-07-31″),160.403,160.40],]);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, 2013

01      158.2269
02      158.4396
↘0.213, 0.13%
03      158.1081
↗0.332, 0.21%
04      158.4244
↘0.316, 0.20%
05      158.3927
↗0.032, 0.02%
06      158.3256
↗0.067, 0.04%
07      159.1456
↘0.820, 0.52%
08      159.1183
↗0.027, 0.02%
09      159.6567
↘0.538, 0.34%
10      159.3675
↗0.289, 0.18%
11      159.1655
↗0.202, 0.13%
12      159.5325
↘0.367, 0.23%
13      160.2852
↘0.753, 0.47%
14      161.1171
↘0.832, 0.52%
15      161.4122
↘0.295, 0.18%
16      161.8334
↘0.421, 0.26%
17      161.1643
↗0.669, 0.41%
18      160.4218
↗0.742, 0.46%
19      160.6246
↘0.203, 0.13%
20      160.6311
↘0.007, 0.00%
21      160.4743
↗0.157, 0.10%
22      160.1223
↗0.352, 0.22%
23      161.7141
↘1.592, 0.99%
24      161.5498
↗0.164, 0.10%
25      160.6468
↗0.903, 0.56%
26      161.0705
↘0.424, 0.26%
27      161.5271
↘0.457, 0.28%
28      162.0021
↘0.475, 0.29%
29      162.2814
↘0.279, 0.17%
30      162.4991
↘0.218, 0.13%
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(“2013-06-01”),158.227,158.23],[new Date(“2013-06-02”),158.440,158.44],[new Date(“2013-06-03”),158.108,158.11],[new Date(“2013-06-04”),158.424,158.42],[new Date(“2013-06-05”),158.393,158.39],[new Date(“2013-06-06”),158.326,158.33],[new Date(“2013-06-07”),159.146,159.15],[new Date(“2013-06-08”),159.118,159.12],[new Date(“2013-06-09”),159.657,159.66],[new Date(“2013-06-10”),159.367,159.37],[new Date(“2013-06-11”),159.166,159.17],[new Date(“2013-06-12”),159.533,159.53],[new Date(“2013-06-13”),160.285,160.29],[new Date(“2013-06-14”),161.117,161.12],[new Date(“2013-06-15”),161.412,161.41],[new Date(“2013-06-16”),161.833,161.83],[new Date(“2013-06-17”),161.164,161.16],[new Date(“2013-06-18”),160.422,160.42],[new Date(“2013-06-19”),160.625,160.62],[new Date(“2013-06-20”),160.631,160.63],[new Date(“2013-06-21”),160.474,160.47],[new Date(“2013-06-22”),160.122,160.12],[new Date(“2013-06-23”),161.714,161.71],[new Date(“2013-06-24”),161.550,161.55],[new Date(“2013-06-25”),160.647,160.65],[new Date(“2013-06-26”),161.070,161.07],[new Date(“2013-06-27”),161.527,161.53],[new Date(“2013-06-28”),162.002,162.00],[new Date(“2013-06-29”),162.281,162.28],[new Date(“2013-06-30″),162.499,162.50],]);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_6’));
chart.draw(data, options);
}

May, 2013

01      158.1205
02      158.4030
↘0.283, 0.18%
03      158.2415
↗0.161, 0.10%
04      158.2621
↘0.021, 0.01%
05      158.0956
↗0.166, 0.11%
06      157.9907
↗0.105, 0.07%
07      158.0401
↘0.049, 0.03%
08      157.7730
↗0.267, 0.17%
09      157.9385
↘0.166, 0.10%
10      157.6126
↗0.326, 0.21%
11      157.6335
↘0.021, 0.01%
12      157.6209
↗0.013, 0.01%
13      157.5672
↗0.054, 0.03%
14      157.5000
↗0.067, 0.04%
15      157.3847
↗0.115, 0.07%
16      157.7311
↘0.346, 0.22%
17      158.1502
↘0.419, 0.27%
18      157.9708
↗0.179, 0.11%
19      158.2192
↘0.248, 0.16%
20      158.2977
↘0.079, 0.05%
21      158.0741
↗0.224, 0.14%
22      158.4410
↘0.367, 0.23%
23      158.1608
↗0.280, 0.18%
24      158.2379
↘0.077, 0.05%
25      157.9883
↗0.250, 0.16%
26      158.2566
↘0.268, 0.17%
27      158.2366
↗0.020, 0.01%
28      158.4986
↘0.262, 0.17%
29      158.3188
↗0.180, 0.11%
30      158.3125
↗0.006, 0.00%
31      158.3186
↘0.006, 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(“2013-05-01”),158.121,158.12],[new Date(“2013-05-02”),158.403,158.40],[new Date(“2013-05-03”),158.242,158.24],[new Date(“2013-05-04”),158.262,158.26],[new Date(“2013-05-05”),158.096,158.10],[new Date(“2013-05-06”),157.991,157.99],[new Date(“2013-05-07”),158.040,158.04],[new Date(“2013-05-08”),157.773,157.77],[new Date(“2013-05-09”),157.939,157.94],[new Date(“2013-05-10”),157.613,157.61],[new Date(“2013-05-11”),157.634,157.63],[new Date(“2013-05-12”),157.621,157.62],[new Date(“2013-05-13”),157.567,157.57],[new Date(“2013-05-14”),157.500,157.50],[new Date(“2013-05-15”),157.385,157.38],[new Date(“2013-05-16”),157.731,157.73],[new Date(“2013-05-17”),158.150,158.15],[new Date(“2013-05-18”),157.971,157.97],[new Date(“2013-05-19”),158.219,158.22],[new Date(“2013-05-20”),158.298,158.30],[new Date(“2013-05-21”),158.074,158.07],[new Date(“2013-05-22”),158.441,158.44],[new Date(“2013-05-23”),158.161,158.16],[new Date(“2013-05-24”),158.238,158.24],[new Date(“2013-05-25”),157.988,157.99],[new Date(“2013-05-26”),158.257,158.26],[new Date(“2013-05-27”),158.237,158.24],[new Date(“2013-05-28”),158.499,158.50],[new Date(“2013-05-29”),158.319,158.32],[new Date(“2013-05-30”),158.312,158.31],[new Date(“2013-05-31″),158.319,158.32],]);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, 2013

01      158.5224
02      158.4479
↗0.075, 0.05%
03      158.2159
↗0.232, 0.15%
04      157.5380
↗0.678, 0.43%
05      157.6334
↘0.095, 0.06%
06      157.3916
↗0.242, 0.15%
07      157.2830
↗0.109, 0.07%
08      157.5478
↘0.265, 0.17%
09      157.4248
↗0.123, 0.08%
10      157.6868
↘0.262, 0.17%
11      157.6630
↗0.024, 0.02%
12      157.8354
↘0.172, 0.11%
13      157.8911
↘0.056, 0.04%
14      157.5006
↗0.391, 0.25%
15      158.0436
↘0.543, 0.34%
16      158.0548
↘0.011, 0.01%
17      158.4887
↘0.434, 0.27%
18      158.5184
↘0.030, 0.02%
19      158.7634
↘0.245, 0.15%
20      158.7551
↗0.008, 0.01%
21      158.8829
↘0.128, 0.08%
22      158.7413
↗0.142, 0.09%
23      158.7722
↘0.031, 0.02%
24      158.7475
↗0.025, 0.02%
25      159.2872
↘0.540, 0.34%
26      158.9536
↗0.334, 0.21%
27      158.9249
↗0.029, 0.02%
28      158.8325
↗0.092, 0.06%
29      158.3238
↗0.509, 0.32%
30      158.0484
↗0.275, 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(“2013-04-01”),158.522,158.52],[new Date(“2013-04-02”),158.448,158.45],[new Date(“2013-04-03”),158.216,158.22],[new Date(“2013-04-04”),157.538,157.54],[new Date(“2013-04-05”),157.633,157.63],[new Date(“2013-04-06”),157.392,157.39],[new Date(“2013-04-07”),157.283,157.28],[new Date(“2013-04-08”),157.548,157.55],[new Date(“2013-04-09”),157.425,157.42],[new Date(“2013-04-10”),157.687,157.69],[new Date(“2013-04-11”),157.663,157.66],[new Date(“2013-04-12”),157.835,157.84],[new Date(“2013-04-13”),157.891,157.89],[new Date(“2013-04-14”),157.501,157.50],[new Date(“2013-04-15”),158.044,158.04],[new Date(“2013-04-16”),158.055,158.05],[new Date(“2013-04-17”),158.489,158.49],[new Date(“2013-04-18”),158.518,158.52],[new Date(“2013-04-19”),158.763,158.76],[new Date(“2013-04-20”),158.755,158.76],[new Date(“2013-04-21”),158.883,158.88],[new Date(“2013-04-22”),158.741,158.74],[new Date(“2013-04-23”),158.772,158.77],[new Date(“2013-04-24”),158.747,158.75],[new Date(“2013-04-25”),159.287,159.29],[new Date(“2013-04-26”),158.954,158.95],[new Date(“2013-04-27”),158.925,158.92],[new Date(“2013-04-28”),158.832,158.83],[new Date(“2013-04-29”),158.324,158.32],[new Date(“2013-04-30″),158.048,158.05],]);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, 2013

01      158.2220
02      158.2928
↘0.071, 0.04%
03      158.0450
↗0.248, 0.16%
04      157.4975
↗0.548, 0.35%
05      157.6361
↘0.139, 0.09%
06      157.9076
↘0.271, 0.17%
07      157.7575
↗0.150, 0.10%
08      158.2800
↘0.522, 0.33%
09      158.1078
↗0.172, 0.11%
10      158.5987
↘0.491, 0.31%
11      157.9186
↗0.680, 0.43%
12      158.2794
↘0.361, 0.23%
13      158.5226
↘0.243, 0.15%
14      158.0189
↗0.504, 0.32%
15      158.9109
↘0.892, 0.56%
16      158.4389
↗0.472, 0.30%
17      158.9909
↘0.552, 0.35%
18      158.8964
↗0.094, 0.06%
19      159.1999
↘0.303, 0.19%
20      158.6758
↗0.524, 0.33%
21      158.9488
↘0.273, 0.17%
22      158.3516
↗0.597, 0.38%
23      158.3888
↘0.037, 0.02%
24      158.1262
↗0.263, 0.17%
25      159.0988
↘0.973, 0.62%
26      158.2584
↗0.840, 0.53%
27      158.5283
↘0.270, 0.17%
28      158.4103
↗0.118, 0.07%
29      158.5103
↘0.100, 0.06%
30      158.5448
↘0.034, 0.02%
31      158.4354
↗0.109, 0.07%
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(“2013-03-01”),158.222,158.22],[new Date(“2013-03-02”),158.293,158.29],[new Date(“2013-03-03”),158.045,158.05],[new Date(“2013-03-04”),157.498,157.50],[new Date(“2013-03-05”),157.636,157.64],[new Date(“2013-03-06”),157.908,157.91],[new Date(“2013-03-07”),157.757,157.76],[new Date(“2013-03-08”),158.280,158.28],[new Date(“2013-03-09”),158.108,158.11],[new Date(“2013-03-10”),158.599,158.60],[new Date(“2013-03-11”),157.919,157.92],[new Date(“2013-03-12”),158.279,158.28],[new Date(“2013-03-13”),158.523,158.52],[new Date(“2013-03-14”),158.019,158.02],[new Date(“2013-03-15”),158.911,158.91],[new Date(“2013-03-16”),158.439,158.44],[new Date(“2013-03-17”),158.991,158.99],[new Date(“2013-03-18”),158.896,158.90],[new Date(“2013-03-19”),159.200,159.20],[new Date(“2013-03-20”),158.676,158.68],[new Date(“2013-03-21”),158.949,158.95],[new Date(“2013-03-22”),158.352,158.35],[new Date(“2013-03-23”),158.389,158.39],[new Date(“2013-03-24”),158.126,158.13],[new Date(“2013-03-25”),159.099,159.10],[new Date(“2013-03-26”),158.258,158.26],[new Date(“2013-03-27”),158.528,158.53],[new Date(“2013-03-28”),158.410,158.41],[new Date(“2013-03-29”),158.510,158.51],[new Date(“2013-03-30”),158.545,158.54],[new Date(“2013-03-31″),158.435,158.44],]);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, 2013

01      157.2338
02      157.2593
↘0.025, 0.02%
03      157.1475
↗0.112, 0.07%
04      157.3012
↘0.154, 0.10%
05      157.1253
↗0.176, 0.11%
06      157.3038
↘0.178, 0.11%
07      158.0176
↘0.714, 0.45%
08      157.3569
↗0.661, 0.42%
09      157.5905
↘0.234, 0.15%
10      157.5195
↗0.071, 0.05%
11      157.2515
↗0.268, 0.17%
12      157.2573
↘0.006, 0.00%
13      157.3877
↘0.130, 0.08%
14      157.2267
↗0.161, 0.10%
15      157.3407
↘0.114, 0.07%
16      157.2450
↗0.096, 0.06%
17      157.0413
↗0.204, 0.13%
18      157.4193
↘0.378, 0.24%
19      157.2079
↗0.211, 0.13%
20      157.5623
↘0.354, 0.23%
21      157.2521
↗0.310, 0.20%
22      157.4329
↘0.181, 0.11%
23      157.2993
↗0.134, 0.08%
24      157.1791
↗0.120, 0.08%
25      158.4690
↘1.290, 0.82%
26      157.5873
↗0.882, 0.56%
27      158.1738
↘0.586, 0.37%
28      158.4226
↘0.249, 0.16%
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(“2013-02-01”),157.234,157.23],[new Date(“2013-02-02”),157.259,157.26],[new Date(“2013-02-03”),157.148,157.15],[new Date(“2013-02-04”),157.301,157.30],[new Date(“2013-02-05”),157.125,157.13],[new Date(“2013-02-06”),157.304,157.30],[new Date(“2013-02-07”),158.018,158.02],[new Date(“2013-02-08”),157.357,157.36],[new Date(“2013-02-09”),157.590,157.59],[new Date(“2013-02-10”),157.519,157.52],[new Date(“2013-02-11”),157.251,157.25],[new Date(“2013-02-12”),157.257,157.26],[new Date(“2013-02-13”),157.388,157.39],[new Date(“2013-02-14”),157.227,157.23],[new Date(“2013-02-15”),157.341,157.34],[new Date(“2013-02-16”),157.245,157.25],[new Date(“2013-02-17”),157.041,157.04],[new Date(“2013-02-18”),157.419,157.42],[new Date(“2013-02-19”),157.208,157.21],[new Date(“2013-02-20”),157.562,157.56],[new Date(“2013-02-21”),157.252,157.25],[new Date(“2013-02-22”),157.433,157.43],[new Date(“2013-02-23”),157.299,157.30],[new Date(“2013-02-24”),157.179,157.18],[new Date(“2013-02-25”),158.469,158.47],[new Date(“2013-02-26”),157.587,157.59],[new Date(“2013-02-27”),158.174,158.17],[new Date(“2013-02-28″),158.423,158.42],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2013

01      156.0527
02      156.7111
↘0.658, 0.42%
03      156.9397
↘0.229, 0.15%
04      156.6256
↗0.314, 0.20%
05      156.6400
↘0.014, 0.01%
06      156.2933
↗0.347, 0.22%
07      156.5271
↘0.234, 0.15%
08      156.7302
↘0.203, 0.13%
09      156.4187
↗0.311, 0.20%
10      155.4822
↗0.937, 0.60%
11      156.1237
↘0.642, 0.41%
12      156.1237
→0.000, 0.00%
13      155.7024
↗0.421, 0.27%
14      156.4780
↘0.776, 0.50%
15      156.9246
↘0.447, 0.29%
16      157.3437
↘0.419, 0.27%
17      157.0128
↗0.331, 0.21%
18      157.2455
↘0.233, 0.15%
19      157.1647
↗0.081, 0.05%
20      157.3424
↘0.178, 0.11%
21      157.1680
↗0.174, 0.11%
22      157.1953
↘0.027, 0.02%
23      157.3365
↘0.141, 0.09%
24      157.1694
↗0.167, 0.11%
25      157.1594
↗0.010, 0.01%
26      157.0213
↗0.138, 0.09%
27      156.8882
↗0.133, 0.08%
28      157.0894
↘0.201, 0.13%
29      156.9142
↗0.175, 0.11%
30      157.2183
↘0.304, 0.19%
31      157.0514
↗0.167, 0.11%
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(“2013-01-01”),156.053,156.05],[new Date(“2013-01-02”),156.711,156.71],[new Date(“2013-01-03”),156.940,156.94],[new Date(“2013-01-04”),156.626,156.63],[new Date(“2013-01-05”),156.640,156.64],[new Date(“2013-01-06”),156.293,156.29],[new Date(“2013-01-07”),156.527,156.53],[new Date(“2013-01-08”),156.730,156.73],[new Date(“2013-01-09”),156.419,156.42],[new Date(“2013-01-10”),155.482,155.48],[new Date(“2013-01-11”),156.124,156.12],[new Date(“2013-01-12”),156.124,156.12],[new Date(“2013-01-13”),155.702,155.70],[new Date(“2013-01-14”),156.478,156.48],[new Date(“2013-01-15”),156.925,156.92],[new Date(“2013-01-16”),157.344,157.34],[new Date(“2013-01-17”),157.013,157.01],[new Date(“2013-01-18”),157.245,157.25],[new Date(“2013-01-19”),157.165,157.16],[new Date(“2013-01-20”),157.342,157.34],[new Date(“2013-01-21”),157.168,157.17],[new Date(“2013-01-22”),157.195,157.20],[new Date(“2013-01-23”),157.336,157.34],[new Date(“2013-01-24”),157.169,157.17],[new Date(“2013-01-25”),157.159,157.16],[new Date(“2013-01-26”),157.021,157.02],[new Date(“2013-01-27”),156.888,156.89],[new Date(“2013-01-28”),157.089,157.09],[new Date(“2013-01-29”),156.914,156.91],[new Date(“2013-01-30”),157.218,157.22],[new Date(“2013-01-31″),157.051,157.05],]);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);
}