Nigerian Naira NGN 2014 Conversion Rates

  • Opening Value is 160.254699 NGN per Dollar
  • Closing Value is 182.812000 NGN per Dollar
  • Change in Value during 2014 is 22.5573 which is 14.08%
  • Best Performance is on 2014-01-04 with 158.755700 NGN per Dollar
  • Lowest Performance is on 2014-12-23 with 185.261401 NGN per Dollar
  • Average Value is 165.1514 NGN per Dollar
  • Swing Between the higest and the lowest is 26.5057 per Dollar, that is 16.54% compared to the opening value.

USD to NGN Conversion Rates – 12 months

Date 1 USD =
2014-12-31 182.8120 NGN
2014-11-30 178.2980 NGN
2014-10-31 165.7658 NGN
2014-09-30 163.7647 NGN
2014-08-31 162.7540 NGN
2014-07-31 161.8990 NGN
2014-06-30 162.8621 NGN
2014-05-31 162.6582 NGN
2014-04-30 160.6499 NGN
2014-03-31 165.0100 NGN
2014-02-28 165.4562 NGN
2014-01-31 162.6697 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(“2014-12-31”),182.812,182.81],[new Date(“2014-11-30”),178.298,178.30],[new Date(“2014-10-31”),165.766,165.77],[new Date(“2014-09-30”),163.765,163.76],[new Date(“2014-08-31”),162.754,162.75],[new Date(“2014-07-31”),161.899,161.90],[new Date(“2014-06-30”),162.862,162.86],[new Date(“2014-05-31”),162.658,162.66],[new Date(“2014-04-30”),160.650,160.65],[new Date(“2014-03-31”),165.010,165.01],[new Date(“2014-02-28”),165.456,165.46],[new Date(“2014-01-31”),162.670,162.67],]);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, 2014

01      182.7800
02      180.6580
↗2.122, 1.16%
03      181.2220
↘0.564, 0.31%
04      181.1014
↗0.121, 0.07%
05      181.0055
↗0.096, 0.05%
06      180.7515
↗0.254, 0.14%
07      181.2760
↘0.525, 0.29%
08      181.5160
↘0.240, 0.13%
09      183.5980
↘2.082, 1.15%
10      180.8982
↗2.700, 1.47%
11      181.1241
↘0.226, 0.12%
12      179.6739
↗1.450, 0.80%
13      179.7336
↘0.060, 0.03%
14      179.8220
↘0.088, 0.05%
15      179.5320
↗0.290, 0.16%
16      180.5114
↘0.979, 0.55%
17      184.1632
↘3.652, 2.02%
18      184.3971
↘0.234, 0.13%
19      182.5051
↗1.892, 1.03%
20      181.6164
↗0.889, 0.49%
21      182.5180
↘0.902, 0.50%
22      184.2000
↘1.682, 0.92%
23      185.2614
↘1.061, 0.58%
24      183.4483
↗1.813, 0.98%
25      183.1030
↗0.345, 0.19%
26      182.5980
↗0.505, 0.28%
27      182.6080
↘0.010, 0.01%
28      182.5780
↗0.030, 0.02%
29      182.7960
↘0.218, 0.12%
30      182.8975
↘0.101, 0.06%
31      182.8120
↗0.085, 0.05%
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(“2014-12-01”),182.780,182.78],[new Date(“2014-12-02”),180.658,180.66],[new Date(“2014-12-03”),181.222,181.22],[new Date(“2014-12-04”),181.101,181.10],[new Date(“2014-12-05”),181.006,181.01],[new Date(“2014-12-06”),180.752,180.75],[new Date(“2014-12-07”),181.276,181.28],[new Date(“2014-12-08”),181.516,181.52],[new Date(“2014-12-09”),183.598,183.60],[new Date(“2014-12-10”),180.898,180.90],[new Date(“2014-12-11”),181.124,181.12],[new Date(“2014-12-12”),179.674,179.67],[new Date(“2014-12-13”),179.734,179.73],[new Date(“2014-12-14”),179.822,179.82],[new Date(“2014-12-15”),179.532,179.53],[new Date(“2014-12-16”),180.511,180.51],[new Date(“2014-12-17”),184.163,184.16],[new Date(“2014-12-18”),184.397,184.40],[new Date(“2014-12-19”),182.505,182.51],[new Date(“2014-12-20”),181.616,181.62],[new Date(“2014-12-21”),182.518,182.52],[new Date(“2014-12-22”),184.200,184.20],[new Date(“2014-12-23”),185.261,185.26],[new Date(“2014-12-24”),183.448,183.45],[new Date(“2014-12-25”),183.103,183.10],[new Date(“2014-12-26”),182.598,182.60],[new Date(“2014-12-27”),182.608,182.61],[new Date(“2014-12-28”),182.578,182.58],[new Date(“2014-12-29”),182.796,182.80],[new Date(“2014-12-30”),182.898,182.90],[new Date(“2014-12-31″),182.812,182.81],]);var options = {
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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);
}

November, 2014

01      165.5940
02      165.8880
↘0.294, 0.18%
03      165.7360
↗0.152, 0.09%
04      166.0632
↘0.327, 0.20%
05      166.5620
↘0.499, 0.30%
06      169.6514
↘3.089, 1.85%
07      166.2493
↗3.402, 2.01%
08      166.7378
↘0.488, 0.29%
09      165.9040
↗0.834, 0.50%
10      167.6670
↘1.763, 1.06%
11      168.0709
↘0.404, 0.24%
12      169.2479
↘1.177, 0.70%
13      171.4759
↘2.228, 1.32%
14      171.1172
↗0.359, 0.21%
15      171.3699
↘0.253, 0.15%
16      170.5736
↗0.796, 0.46%
17      172.2560
↘1.682, 0.99%
18      172.8384
↘0.582, 0.34%
19      173.6556
↘0.817, 0.47%
20      175.2368
↘1.581, 0.91%
21      176.6548
↘1.418, 0.81%
22      176.7967
↘0.142, 0.08%
23      176.7927
↗0.004, 0.00%
24      174.9227
↗1.870, 1.06%
25      176.8444
↘1.922, 1.10%
26      176.5787
↗0.266, 0.15%
27      176.0082
↗0.571, 0.32%
28      178.2570
↘2.249, 1.28%
29      178.5080
↘0.251, 0.14%
30      178.2980
↗0.210, 0.12%
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(“2014-11-01”),165.594,165.59],[new Date(“2014-11-02”),165.888,165.89],[new Date(“2014-11-03”),165.736,165.74],[new Date(“2014-11-04”),166.063,166.06],[new Date(“2014-11-05”),166.562,166.56],[new Date(“2014-11-06”),169.651,169.65],[new Date(“2014-11-07”),166.249,166.25],[new Date(“2014-11-08”),166.738,166.74],[new Date(“2014-11-09”),165.904,165.90],[new Date(“2014-11-10”),167.667,167.67],[new Date(“2014-11-11”),168.071,168.07],[new Date(“2014-11-12”),169.248,169.25],[new Date(“2014-11-13”),171.476,171.48],[new Date(“2014-11-14”),171.117,171.12],[new Date(“2014-11-15”),171.370,171.37],[new Date(“2014-11-16”),170.574,170.57],[new Date(“2014-11-17”),172.256,172.26],[new Date(“2014-11-18”),172.838,172.84],[new Date(“2014-11-19”),173.656,173.66],[new Date(“2014-11-20”),175.237,175.24],[new Date(“2014-11-21”),176.655,176.65],[new Date(“2014-11-22”),176.797,176.80],[new Date(“2014-11-23”),176.793,176.79],[new Date(“2014-11-24”),174.923,174.92],[new Date(“2014-11-25”),176.844,176.84],[new Date(“2014-11-26”),176.579,176.58],[new Date(“2014-11-27”),176.008,176.01],[new Date(“2014-11-28”),178.257,178.26],[new Date(“2014-11-29”),178.508,178.51],[new Date(“2014-11-30″),178.298,178.30],]);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_11’));
chart.draw(data, options);
}

October, 2014

01      163.6101
02      164.1016
↘0.492, 0.30%
03      163.7403
↗0.361, 0.22%
04      163.7948
↘0.055, 0.03%
05      165.3020
↘1.507, 0.92%
06      164.1560
↗1.146, 0.69%
07      164.2083
↘0.052, 0.03%
08      164.3360
↘0.128, 0.08%
09      164.9928
↘0.657, 0.40%
10      164.5918
↗0.401, 0.24%
11      164.7702
↘0.178, 0.11%
12      164.9590
↘0.189, 0.11%
13      163.9810
↗0.978, 0.59%
14      164.2942
↘0.313, 0.19%
15      163.3387
↗0.956, 0.58%
16      164.5037
↘1.165, 0.71%
17      164.8616
↘0.358, 0.22%
18      165.1347
↘0.273, 0.17%
19      165.3240
↘0.189, 0.11%
20      165.3000
↗0.024, 0.01%
21      165.6713
↘0.371, 0.22%
22      165.4395
↗0.232, 0.14%
23      165.3772
↗0.062, 0.04%
24      164.9222
↗0.455, 0.28%
25      164.7960
↗0.126, 0.08%
26      164.4640
↗0.332, 0.20%
27      164.7020
↘0.238, 0.14%
28      165.1293
↘0.427, 0.26%
29      165.3858
↘0.257, 0.16%
30      165.4749
↘0.089, 0.05%
31      165.7658
↘0.291, 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(“2014-10-01”),163.610,163.61],[new Date(“2014-10-02”),164.102,164.10],[new Date(“2014-10-03”),163.740,163.74],[new Date(“2014-10-04”),163.795,163.79],[new Date(“2014-10-05”),165.302,165.30],[new Date(“2014-10-06”),164.156,164.16],[new Date(“2014-10-07”),164.208,164.21],[new Date(“2014-10-08”),164.336,164.34],[new Date(“2014-10-09”),164.993,164.99],[new Date(“2014-10-10”),164.592,164.59],[new Date(“2014-10-11”),164.770,164.77],[new Date(“2014-10-12”),164.959,164.96],[new Date(“2014-10-13”),163.981,163.98],[new Date(“2014-10-14”),164.294,164.29],[new Date(“2014-10-15”),163.339,163.34],[new Date(“2014-10-16”),164.504,164.50],[new Date(“2014-10-17”),164.862,164.86],[new Date(“2014-10-18”),165.135,165.13],[new Date(“2014-10-19”),165.324,165.32],[new Date(“2014-10-20”),165.300,165.30],[new Date(“2014-10-21”),165.671,165.67],[new Date(“2014-10-22”),165.439,165.44],[new Date(“2014-10-23”),165.377,165.38],[new Date(“2014-10-24”),164.922,164.92],[new Date(“2014-10-25”),164.796,164.80],[new Date(“2014-10-26”),164.464,164.46],[new Date(“2014-10-27”),164.702,164.70],[new Date(“2014-10-28”),165.129,165.13],[new Date(“2014-10-29”),165.386,165.39],[new Date(“2014-10-30”),165.475,165.47],[new Date(“2014-10-31″),165.766,165.77],]);var options = {
hAxis: {
title: ‘Date’
},
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_10’));
chart.draw(data, options);
}

September, 2014

01      162.5500
02      162.3528
↗0.197, 0.12%
03      162.4020
↘0.049, 0.03%
04      163.2232
↘0.821, 0.51%
05      162.3388
↗0.884, 0.54%
06      162.6094
↘0.271, 0.17%
07      162.3180
↗0.291, 0.18%
08      162.2310
↗0.087, 0.05%
09      162.2486
↘0.018, 0.01%
10      162.8890
↘0.640, 0.39%
11      162.6379
↗0.251, 0.15%
12      162.8923
↘0.254, 0.16%
13      162.8337
↗0.059, 0.04%
14      162.6104
↗0.223, 0.14%
15      162.9100
↘0.300, 0.18%
16      162.9537
↘0.044, 0.03%
17      163.9949
↘1.041, 0.64%
18      163.4356
↗0.559, 0.34%
19      163.5610
↘0.125, 0.08%
20      163.3497
↗0.211, 0.13%
21      163.8840
↘0.534, 0.33%
22      163.7870
↗0.097, 0.06%
23      163.9274
↘0.140, 0.09%
24      163.7319
↗0.196, 0.12%
25      163.5181
↗0.214, 0.13%
26      163.9719
↘0.454, 0.28%
27      163.8118
↗0.160, 0.10%
28      164.3322
↘0.520, 0.32%
29      164.0650
↗0.267, 0.16%
30      163.7647
↗0.300, 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(“2014-09-01”),162.550,162.55],[new Date(“2014-09-02”),162.353,162.35],[new Date(“2014-09-03”),162.402,162.40],[new Date(“2014-09-04”),163.223,163.22],[new Date(“2014-09-05”),162.339,162.34],[new Date(“2014-09-06”),162.609,162.61],[new Date(“2014-09-07”),162.318,162.32],[new Date(“2014-09-08”),162.231,162.23],[new Date(“2014-09-09”),162.249,162.25],[new Date(“2014-09-10”),162.889,162.89],[new Date(“2014-09-11”),162.638,162.64],[new Date(“2014-09-12”),162.892,162.89],[new Date(“2014-09-13”),162.834,162.83],[new Date(“2014-09-14”),162.610,162.61],[new Date(“2014-09-15”),162.910,162.91],[new Date(“2014-09-16”),162.954,162.95],[new Date(“2014-09-17”),163.995,163.99],[new Date(“2014-09-18”),163.436,163.44],[new Date(“2014-09-19”),163.561,163.56],[new Date(“2014-09-20”),163.350,163.35],[new Date(“2014-09-21”),163.884,163.88],[new Date(“2014-09-22”),163.787,163.79],[new Date(“2014-09-23”),163.927,163.93],[new Date(“2014-09-24”),163.732,163.73],[new Date(“2014-09-25”),163.518,163.52],[new Date(“2014-09-26”),163.972,163.97],[new Date(“2014-09-27”),163.812,163.81],[new Date(“2014-09-28”),164.332,164.33],[new Date(“2014-09-29”),164.065,164.07],[new Date(“2014-09-30″),163.765,163.76],]);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_9’));
chart.draw(data, options);
}

August, 2014

01      161.5275
02      161.4697
↗0.058, 0.04%
03      161.5100
↘0.040, 0.02%
04      161.1800
↗0.330, 0.20%
05      160.8927
↗0.287, 0.18%
06      161.2887
↘0.396, 0.25%
07      162.2486
↘0.960, 0.60%
08      162.4645
↘0.216, 0.13%
09      162.7141
↘0.250, 0.15%
10      162.7240
↘0.010, 0.01%
11      162.5420
↗0.182, 0.11%
12      162.1617
↗0.380, 0.23%
13      161.9523
↗0.209, 0.13%
14      162.2318
↘0.280, 0.17%
15      162.1027
↗0.129, 0.08%
16      162.1650
↘0.062, 0.04%
17      162.1510
↗0.014, 0.01%
18      162.1760
↘0.025, 0.02%
19      162.1754
↗0.001, 0.00%
20      162.2193
↘0.044, 0.03%
21      162.0301
↗0.189, 0.12%
22      162.0027
↗0.027, 0.02%
23      161.9378
↗0.065, 0.04%
24      161.9400
↘0.002, 0.00%
25      162.1710
↘0.231, 0.14%
26      162.1170
↗0.054, 0.03%
27      161.9638
↗0.153, 0.09%
28      162.0712
↘0.107, 0.07%
29      162.2662
↘0.195, 0.12%
30      162.3158
↘0.050, 0.03%
31      162.7540
↘0.438, 0.27%
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(“2014-08-01”),161.527,161.53],[new Date(“2014-08-02”),161.470,161.47],[new Date(“2014-08-03”),161.510,161.51],[new Date(“2014-08-04”),161.180,161.18],[new Date(“2014-08-05”),160.893,160.89],[new Date(“2014-08-06”),161.289,161.29],[new Date(“2014-08-07”),162.249,162.25],[new Date(“2014-08-08”),162.465,162.46],[new Date(“2014-08-09”),162.714,162.71],[new Date(“2014-08-10”),162.724,162.72],[new Date(“2014-08-11”),162.542,162.54],[new Date(“2014-08-12”),162.162,162.16],[new Date(“2014-08-13”),161.952,161.95],[new Date(“2014-08-14”),162.232,162.23],[new Date(“2014-08-15”),162.103,162.10],[new Date(“2014-08-16”),162.165,162.17],[new Date(“2014-08-17”),162.151,162.15],[new Date(“2014-08-18”),162.176,162.18],[new Date(“2014-08-19”),162.175,162.18],[new Date(“2014-08-20”),162.219,162.22],[new Date(“2014-08-21”),162.030,162.03],[new Date(“2014-08-22”),162.003,162.00],[new Date(“2014-08-23”),161.938,161.94],[new Date(“2014-08-24”),161.940,161.94],[new Date(“2014-08-25”),162.171,162.17],[new Date(“2014-08-26”),162.117,162.12],[new Date(“2014-08-27”),161.964,161.96],[new Date(“2014-08-28”),162.071,162.07],[new Date(“2014-08-29”),162.266,162.27],[new Date(“2014-08-30”),162.316,162.32],[new Date(“2014-08-31″),162.754,162.75],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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lineWidth: 4,
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2014

01      162.8161
02      162.9692
↘0.153, 0.09%
03      162.6537
↗0.316, 0.19%
04      162.6710
↘0.017, 0.01%
05      162.6699
↗0.001, 0.00%
06      162.6120
↗0.058, 0.04%
07      162.6740
↘0.062, 0.04%
08      162.6111
↗0.063, 0.04%
09      162.3423
↗0.269, 0.17%
10      162.2784
↗0.064, 0.04%
11      162.3044
↘0.026, 0.02%
12      162.3596
↘0.055, 0.03%
13      162.3360
↗0.024, 0.01%
14      162.2760
↗0.060, 0.04%
15      162.1856
↗0.090, 0.06%
16      161.9762
↗0.209, 0.13%
17      162.1346
↘0.158, 0.10%
18      161.8854
↗0.249, 0.15%
19      162.3148
↘0.429, 0.27%
20      162.3310
↘0.016, 0.01%
21      162.0460
↗0.285, 0.18%
22      162.2784
↘0.232, 0.14%
23      162.1364
↗0.142, 0.09%
24      162.1637
↘0.027, 0.02%
25      161.8729
↗0.291, 0.18%
26      161.8703
↗0.003, 0.00%
27      161.7580
↗0.112, 0.07%
28      161.9640
↘0.206, 0.13%
29      162.0015
↘0.037, 0.02%
30      161.8601
↗0.141, 0.09%
31      161.8990
↘0.039, 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(“2014-07-01”),162.816,162.82],[new Date(“2014-07-02”),162.969,162.97],[new Date(“2014-07-03”),162.654,162.65],[new Date(“2014-07-04”),162.671,162.67],[new Date(“2014-07-05”),162.670,162.67],[new Date(“2014-07-06”),162.612,162.61],[new Date(“2014-07-07”),162.674,162.67],[new Date(“2014-07-08”),162.611,162.61],[new Date(“2014-07-09”),162.342,162.34],[new Date(“2014-07-10”),162.278,162.28],[new Date(“2014-07-11”),162.304,162.30],[new Date(“2014-07-12”),162.360,162.36],[new Date(“2014-07-13”),162.336,162.34],[new Date(“2014-07-14”),162.276,162.28],[new Date(“2014-07-15”),162.186,162.19],[new Date(“2014-07-16”),161.976,161.98],[new Date(“2014-07-17”),162.135,162.13],[new Date(“2014-07-18”),161.885,161.89],[new Date(“2014-07-19”),162.315,162.31],[new Date(“2014-07-20”),162.331,162.33],[new Date(“2014-07-21”),162.046,162.05],[new Date(“2014-07-22”),162.278,162.28],[new Date(“2014-07-23”),162.136,162.14],[new Date(“2014-07-24”),162.164,162.16],[new Date(“2014-07-25”),161.873,161.87],[new Date(“2014-07-26”),161.870,161.87],[new Date(“2014-07-27”),161.758,161.76],[new Date(“2014-07-28”),161.964,161.96],[new Date(“2014-07-29”),162.002,162.00],[new Date(“2014-07-30”),161.860,161.86],[new Date(“2014-07-31″),161.899,161.90],]);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, 2014

01      162.7322
02      162.3590
↗0.373, 0.23%
03      162.4613
↘0.102, 0.06%
04      162.5023
↘0.041, 0.03%
05      162.9070
↘0.405, 0.25%
06      163.5970
↘0.690, 0.42%
07      163.6686
↘0.072, 0.04%
08      163.6860
↘0.017, 0.01%
09      163.1140
↗0.572, 0.35%
10      162.9616
↗0.152, 0.09%
11      163.1632
↘0.202, 0.12%
12      163.3174
↘0.154, 0.09%
13      163.4931
↘0.176, 0.11%
14      163.4814
↗0.012, 0.01%
15      163.5180
↘0.037, 0.02%
16      162.9120
↗0.606, 0.37%
17      163.2903
↘0.378, 0.23%
18      163.2761
↗0.014, 0.01%
19      163.1959
↗0.080, 0.05%
20      163.2053
↘0.009, 0.01%
21      163.2333
↘0.028, 0.02%
22      163.1753
↗0.058, 0.04%
23      162.7160
↗0.459, 0.28%
24      162.7281
↘0.012, 0.01%
25      162.6280
↗0.100, 0.06%
26      162.7627
↘0.135, 0.08%
27      162.9146
↘0.152, 0.09%
28      163.0211
↘0.106, 0.07%
29      163.0631
↘0.042, 0.03%
30      162.8621
↗0.201, 0.12%
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(“2014-06-01”),162.732,162.73],[new Date(“2014-06-02”),162.359,162.36],[new Date(“2014-06-03”),162.461,162.46],[new Date(“2014-06-04”),162.502,162.50],[new Date(“2014-06-05”),162.907,162.91],[new Date(“2014-06-06”),163.597,163.60],[new Date(“2014-06-07”),163.669,163.67],[new Date(“2014-06-08”),163.686,163.69],[new Date(“2014-06-09”),163.114,163.11],[new Date(“2014-06-10”),162.962,162.96],[new Date(“2014-06-11”),163.163,163.16],[new Date(“2014-06-12”),163.317,163.32],[new Date(“2014-06-13”),163.493,163.49],[new Date(“2014-06-14”),163.481,163.48],[new Date(“2014-06-15”),163.518,163.52],[new Date(“2014-06-16”),162.912,162.91],[new Date(“2014-06-17”),163.290,163.29],[new Date(“2014-06-18”),163.276,163.28],[new Date(“2014-06-19”),163.196,163.20],[new Date(“2014-06-20”),163.205,163.21],[new Date(“2014-06-21”),163.233,163.23],[new Date(“2014-06-22”),163.175,163.18],[new Date(“2014-06-23”),162.716,162.72],[new Date(“2014-06-24”),162.728,162.73],[new Date(“2014-06-25”),162.628,162.63],[new Date(“2014-06-26”),162.763,162.76],[new Date(“2014-06-27”),162.915,162.91],[new Date(“2014-06-28”),163.021,163.02],[new Date(“2014-06-29”),163.063,163.06],[new Date(“2014-06-30″),162.862,162.86],]);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, 2014

01      160.5952
02      159.8989
↗0.696, 0.43%
03      159.8704
↗0.029, 0.02%
04      159.7908
↗0.080, 0.05%
05      158.9108
↗0.880, 0.55%
06      160.4802
↘1.569, 0.99%
07      161.3290
↘0.849, 0.53%
08      160.8219
↗0.507, 0.31%
09      161.2061
↘0.384, 0.24%
10      161.3397
↘0.134, 0.08%
11      161.4437
↘0.104, 0.06%
12      161.2780
↗0.166, 0.10%
13      162.2394
↘0.961, 0.60%
14      162.4456
↘0.206, 0.13%
15      162.4660
↘0.020, 0.01%
16      162.3917
↗0.074, 0.05%
17      162.3117
↗0.080, 0.05%
18      162.2160
↗0.096, 0.06%
19      162.4500
↘0.234, 0.14%
20      162.9792
↘0.529, 0.33%
21      162.4475
↗0.532, 0.33%
22      162.1780
↗0.270, 0.17%
23      162.3670
↘0.189, 0.12%
24      162.2539
↗0.113, 0.07%
25      162.2980
↘0.044, 0.03%
26      162.3440
↘0.046, 0.03%
27      162.5678
↘0.224, 0.14%
28      162.6503
↘0.082, 0.05%
29      162.6256
↗0.025, 0.02%
30      162.6600
↘0.034, 0.02%
31      162.6582
↗0.002, 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(“2014-05-01”),160.595,160.60],[new Date(“2014-05-02”),159.899,159.90],[new Date(“2014-05-03”),159.870,159.87],[new Date(“2014-05-04”),159.791,159.79],[new Date(“2014-05-05”),158.911,158.91],[new Date(“2014-05-06”),160.480,160.48],[new Date(“2014-05-07”),161.329,161.33],[new Date(“2014-05-08”),160.822,160.82],[new Date(“2014-05-09”),161.206,161.21],[new Date(“2014-05-10”),161.340,161.34],[new Date(“2014-05-11”),161.444,161.44],[new Date(“2014-05-12”),161.278,161.28],[new Date(“2014-05-13”),162.239,162.24],[new Date(“2014-05-14”),162.446,162.45],[new Date(“2014-05-15”),162.466,162.47],[new Date(“2014-05-16”),162.392,162.39],[new Date(“2014-05-17”),162.312,162.31],[new Date(“2014-05-18”),162.216,162.22],[new Date(“2014-05-19”),162.450,162.45],[new Date(“2014-05-20”),162.979,162.98],[new Date(“2014-05-21”),162.448,162.45],[new Date(“2014-05-22”),162.178,162.18],[new Date(“2014-05-23”),162.367,162.37],[new Date(“2014-05-24”),162.254,162.25],[new Date(“2014-05-25”),162.298,162.30],[new Date(“2014-05-26”),162.344,162.34],[new Date(“2014-05-27”),162.568,162.57],[new Date(“2014-05-28”),162.650,162.65],[new Date(“2014-05-29”),162.626,162.63],[new Date(“2014-05-30”),162.660,162.66],[new Date(“2014-05-31″),162.658,162.66],]);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, 2014

01      164.8386
02      164.2676
↗0.571, 0.35%
03      163.8252
↗0.442, 0.27%
04      163.7385
↗0.087, 0.05%
05      163.6118
↗0.127, 0.08%
06      163.8786
↘0.267, 0.16%
07      163.8350
↗0.044, 0.03%
08      163.7480
↗0.087, 0.05%
09      163.0595
↗0.689, 0.42%
10      161.3538
↗1.706, 1.05%
11      161.0955
↗0.258, 0.16%
12      160.8416
↗0.254, 0.16%
13      160.9380
↘0.096, 0.06%
14      161.2020
↘0.264, 0.16%
15      161.5866
↘0.385, 0.24%
16      161.7192
↘0.133, 0.08%
17      162.1336
↘0.414, 0.26%
18      162.3411
↘0.208, 0.13%
19      162.3902
↘0.049, 0.03%
20      162.6240
↘0.234, 0.14%
21      162.5540
↗0.070, 0.04%
22      162.2192
↗0.335, 0.21%
23      161.9042
↗0.315, 0.19%
24      161.2202
↗0.684, 0.42%
25      160.9900
↗0.230, 0.14%
26      160.8523
↗0.138, 0.09%
27      160.8460
↗0.006, 0.00%
28      160.9820
↘0.136, 0.08%
29      160.8923
↗0.090, 0.06%
30      160.6499
↗0.242, 0.15%
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(“2014-04-01”),164.839,164.84],[new Date(“2014-04-02”),164.268,164.27],[new Date(“2014-04-03”),163.825,163.83],[new Date(“2014-04-04”),163.739,163.74],[new Date(“2014-04-05”),163.612,163.61],[new Date(“2014-04-06”),163.879,163.88],[new Date(“2014-04-07”),163.835,163.84],[new Date(“2014-04-08”),163.748,163.75],[new Date(“2014-04-09”),163.059,163.06],[new Date(“2014-04-10”),161.354,161.35],[new Date(“2014-04-11”),161.095,161.10],[new Date(“2014-04-12”),160.842,160.84],[new Date(“2014-04-13”),160.938,160.94],[new Date(“2014-04-14”),161.202,161.20],[new Date(“2014-04-15”),161.587,161.59],[new Date(“2014-04-16”),161.719,161.72],[new Date(“2014-04-17”),162.134,162.13],[new Date(“2014-04-18”),162.341,162.34],[new Date(“2014-04-19”),162.390,162.39],[new Date(“2014-04-20”),162.624,162.62],[new Date(“2014-04-21”),162.554,162.55],[new Date(“2014-04-22”),162.219,162.22],[new Date(“2014-04-23”),161.904,161.90],[new Date(“2014-04-24”),161.220,161.22],[new Date(“2014-04-25”),160.990,160.99],[new Date(“2014-04-26”),160.852,160.85],[new Date(“2014-04-27”),160.846,160.85],[new Date(“2014-04-28”),160.982,160.98],[new Date(“2014-04-29”),160.892,160.89],[new Date(“2014-04-30″),160.650,160.65],]);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, 2014

01      165.1060
02      165.0595
↗0.046, 0.03%
03      164.4200
↗0.640, 0.39%
04      164.6380
↘0.218, 0.13%
05      164.0582
↗0.580, 0.35%
06      164.1511
↘0.093, 0.06%
07      164.6126
↘0.461, 0.28%
08      164.5680
↗0.045, 0.03%
09      164.8180
↘0.250, 0.15%
10      164.5760
↗0.242, 0.15%
11      165.0014
↘0.425, 0.26%
12      164.6536
↗0.348, 0.21%
13      165.0077
↘0.354, 0.22%
14      164.5898
↗0.418, 0.25%
15      164.7726
↘0.183, 0.11%
16      164.4855
↗0.287, 0.17%
17      164.5470
↘0.061, 0.04%
18      164.4751
↗0.072, 0.04%
19      164.6580
↘0.183, 0.11%
20      164.7535
↘0.096, 0.06%
21      164.9958
↘0.242, 0.15%
22      164.9708
↗0.025, 0.02%
23      165.0081
↘0.037, 0.02%
24      164.8151
↗0.193, 0.12%
25      165.0886
↘0.274, 0.17%
26      164.8529
↗0.236, 0.14%
27      165.0217
↘0.169, 0.10%
28      164.9364
↗0.085, 0.05%
29      164.9453
↘0.009, 0.01%
30      164.8850
↗0.060, 0.04%
31      165.0100
↘0.125, 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(“2014-03-01”),165.106,165.11],[new Date(“2014-03-02”),165.060,165.06],[new Date(“2014-03-03”),164.420,164.42],[new Date(“2014-03-04”),164.638,164.64],[new Date(“2014-03-05”),164.058,164.06],[new Date(“2014-03-06”),164.151,164.15],[new Date(“2014-03-07”),164.613,164.61],[new Date(“2014-03-08”),164.568,164.57],[new Date(“2014-03-09”),164.818,164.82],[new Date(“2014-03-10”),164.576,164.58],[new Date(“2014-03-11”),165.001,165.00],[new Date(“2014-03-12”),164.654,164.65],[new Date(“2014-03-13”),165.008,165.01],[new Date(“2014-03-14”),164.590,164.59],[new Date(“2014-03-15”),164.773,164.77],[new Date(“2014-03-16”),164.485,164.49],[new Date(“2014-03-17”),164.547,164.55],[new Date(“2014-03-18”),164.475,164.48],[new Date(“2014-03-19”),164.658,164.66],[new Date(“2014-03-20”),164.754,164.75],[new Date(“2014-03-21”),164.996,165.00],[new Date(“2014-03-22”),164.971,164.97],[new Date(“2014-03-23”),165.008,165.01],[new Date(“2014-03-24”),164.815,164.82],[new Date(“2014-03-25”),165.089,165.09],[new Date(“2014-03-26”),164.853,164.85],[new Date(“2014-03-27”),165.022,165.02],[new Date(“2014-03-28”),164.936,164.94],[new Date(“2014-03-29”),164.945,164.95],[new Date(“2014-03-30”),164.885,164.89],[new Date(“2014-03-31″),165.010,165.01],]);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, 2014

01      162.7796
02      162.8640
↘0.084, 0.05%
03      162.5994
↗0.265, 0.16%
04      162.7756
↘0.176, 0.11%
05      163.0325
↘0.257, 0.16%
06      163.0216
↗0.011, 0.01%
07      163.1845
↘0.163, 0.10%
08      163.1212
↗0.063, 0.04%
09      162.8520
↗0.269, 0.17%
10      163.3420
↘0.490, 0.30%
11      164.1163
↘0.774, 0.47%
12      164.5039
↘0.388, 0.24%
13      164.7971
↘0.293, 0.18%
14      163.6769
↗1.120, 0.68%
15      163.6669
↗0.010, 0.01%
16      162.8240
↗0.843, 0.52%
17      162.9860
↘0.162, 0.10%
18      163.2235
↘0.237, 0.15%
19      163.7637
↘0.540, 0.33%
20      164.7058
↘0.942, 0.58%
21      165.1822
↘0.476, 0.29%
22      165.4783
↘0.296, 0.18%
23      164.7050
↗0.773, 0.47%
24      164.6320
↗0.073, 0.04%
25      164.8196
↘0.188, 0.11%
26      165.0908
↘0.271, 0.16%
27      164.9420
↗0.149, 0.09%
28      165.4562
↘0.514, 0.31%
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(“2014-02-01”),162.780,162.78],[new Date(“2014-02-02”),162.864,162.86],[new Date(“2014-02-03”),162.599,162.60],[new Date(“2014-02-04”),162.776,162.78],[new Date(“2014-02-05”),163.033,163.03],[new Date(“2014-02-06”),163.022,163.02],[new Date(“2014-02-07”),163.184,163.18],[new Date(“2014-02-08”),163.121,163.12],[new Date(“2014-02-09”),162.852,162.85],[new Date(“2014-02-10”),163.342,163.34],[new Date(“2014-02-11”),164.116,164.12],[new Date(“2014-02-12”),164.504,164.50],[new Date(“2014-02-13”),164.797,164.80],[new Date(“2014-02-14”),163.677,163.68],[new Date(“2014-02-15”),163.667,163.67],[new Date(“2014-02-16”),162.824,162.82],[new Date(“2014-02-17”),162.986,162.99],[new Date(“2014-02-18”),163.224,163.22],[new Date(“2014-02-19”),163.764,163.76],[new Date(“2014-02-20”),164.706,164.71],[new Date(“2014-02-21”),165.182,165.18],[new Date(“2014-02-22”),165.478,165.48],[new Date(“2014-02-23”),164.705,164.71],[new Date(“2014-02-24”),164.632,164.63],[new Date(“2014-02-25”),164.820,164.82],[new Date(“2014-02-26”),165.091,165.09],[new Date(“2014-02-27”),164.942,164.94],[new Date(“2014-02-28″),165.456,165.46],]);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, 2014

01      160.2547
02      159.1580
↗1.097, 0.68%
03      158.8962
↗0.262, 0.16%
04      158.7557
↗0.141, 0.09%
05      159.0700
↘0.314, 0.20%
06      159.2990
↘0.229, 0.14%
07      159.7317
↘0.433, 0.27%
08      159.5852
↗0.146, 0.09%
09      159.1120
↗0.473, 0.30%
10      159.4615
↘0.350, 0.22%
11      159.3860
↗0.076, 0.05%
12      158.9400
↗0.446, 0.28%
13      159.4630
↘0.523, 0.33%
14      159.5404
↘0.077, 0.05%
15      159.5572
↘0.017, 0.01%
16      159.7633
↘0.206, 0.13%
17      160.0806
↘0.317, 0.20%
18      160.1411
↘0.060, 0.04%
19      160.5820
↘0.441, 0.28%
20      159.7070
↗0.875, 0.54%
21      159.5679
↗0.139, 0.09%
22      159.5424
↗0.025, 0.02%
23      159.8202
↘0.278, 0.17%
24      160.4674
↘0.647, 0.40%
25      160.4077
↗0.060, 0.04%
26      160.8840
↘0.476, 0.30%
27      161.9400
↘1.056, 0.66%
28      162.4846
↘0.545, 0.34%
29      162.7141
↘0.230, 0.14%
30      162.4941
↗0.220, 0.14%
31      162.6697
↘0.176, 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(“2014-01-01”),160.255,160.25],[new Date(“2014-01-02”),159.158,159.16],[new Date(“2014-01-03”),158.896,158.90],[new Date(“2014-01-04”),158.756,158.76],[new Date(“2014-01-05”),159.070,159.07],[new Date(“2014-01-06”),159.299,159.30],[new Date(“2014-01-07”),159.732,159.73],[new Date(“2014-01-08”),159.585,159.59],[new Date(“2014-01-09”),159.112,159.11],[new Date(“2014-01-10”),159.461,159.46],[new Date(“2014-01-11”),159.386,159.39],[new Date(“2014-01-12”),158.940,158.94],[new Date(“2014-01-13”),159.463,159.46],[new Date(“2014-01-14”),159.540,159.54],[new Date(“2014-01-15”),159.557,159.56],[new Date(“2014-01-16”),159.763,159.76],[new Date(“2014-01-17”),160.081,160.08],[new Date(“2014-01-18”),160.141,160.14],[new Date(“2014-01-19”),160.582,160.58],[new Date(“2014-01-20”),159.707,159.71],[new Date(“2014-01-21”),159.568,159.57],[new Date(“2014-01-22”),159.542,159.54],[new Date(“2014-01-23”),159.820,159.82],[new Date(“2014-01-24”),160.467,160.47],[new Date(“2014-01-25”),160.408,160.41],[new Date(“2014-01-26”),160.884,160.88],[new Date(“2014-01-27”),161.940,161.94],[new Date(“2014-01-28”),162.485,162.48],[new Date(“2014-01-29”),162.714,162.71],[new Date(“2014-01-30”),162.494,162.49],[new Date(“2014-01-31″),162.670,162.67],]);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);
}