Nigerian Naira NGN 2005 Conversion Rates

  • Opening Value is 132.518274 NGN per Dollar
  • Closing Value is 130.787976 NGN per Dollar
  • Change in Value during 2005 is -1.7303 which is -1.31%
  • Best Performance is on 2005-12-15 with 129.174836 NGN per Dollar
  • Lowest Performance is on 2005-08-03 with 137.809468 NGN per Dollar
  • Average Value is 132.5124 NGN per Dollar
  • Swing Between the higest and the lowest is 8.6346 per Dollar, that is 6.52% compared to the opening value.

USD to NGN Conversion Rates – 12 months

Date 1 USD =
2005-12-31 130.7880 NGN
2005-11-30 130.5557 NGN
2005-10-31 130.5955 NGN
2005-09-30 130.3765 NGN
2005-08-31 131.8679 NGN
2005-07-31 135.0020 NGN
2005-06-30 134.4858 NGN
2005-05-31 132.4465 NGN
2005-04-30 132.2915 NGN
2005-03-31 132.2812 NGN
2005-02-28 132.6300 NGN
2005-01-31 133.1025 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(“2005-12-31”),130.788,130.79],[new Date(“2005-11-30”),130.556,130.56],[new Date(“2005-10-31”),130.595,130.60],[new Date(“2005-09-30”),130.376,130.38],[new Date(“2005-08-31”),131.868,131.87],[new Date(“2005-07-31”),135.002,135.00],[new Date(“2005-06-30”),134.486,134.49],[new Date(“2005-05-31”),132.446,132.45],[new Date(“2005-04-30”),132.292,132.29],[new Date(“2005-03-31”),132.281,132.28],[new Date(“2005-02-28”),132.630,132.63],[new Date(“2005-01-31”),133.102,133.10],]);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, 2005

01      130.5017
02      130.3803
↗0.121, 0.09%
03      130.3803
→0.000, 0.00%
04      130.3803
→0.000, 0.00%
05      130.1892
↗0.191, 0.15%
06      130.4540
↘0.265, 0.20%
07      129.9895
↗0.465, 0.36%
08      130.1599
↘0.170, 0.13%
09      130.4161
↘0.256, 0.20%
10      130.4161
→0.000, 0.00%
11      130.4161
→0.000, 0.00%
12      130.3532
↗0.063, 0.05%
13      130.2616
↗0.092, 0.07%
14      129.2686
↗0.993, 0.76%
15      129.1748
↗0.094, 0.07%
16      129.4657
↘0.291, 0.23%
17      129.4657
→0.000, 0.00%
18      129.4657
→0.000, 0.00%
19      129.4581
↗0.008, 0.01%
20      129.4472
↗0.011, 0.01%
21      129.7099
↘0.263, 0.20%
22      129.3740
↗0.336, 0.26%
23      129.3571
↗0.017, 0.01%
24      129.3571
→0.000, 0.00%
25      129.3571
→0.000, 0.00%
26      129.3571
→0.000, 0.00%
27      129.3638
↘0.007, 0.01%
28      130.1285
↘0.765, 0.59%
29      131.0416
↘0.913, 0.70%
30      130.7880
↗0.254, 0.19%
31      130.7880
→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(“2005-12-01”),130.502,130.50],[new Date(“2005-12-02”),130.380,130.38],[new Date(“2005-12-03”),130.380,130.38],[new Date(“2005-12-04”),130.380,130.38],[new Date(“2005-12-05”),130.189,130.19],[new Date(“2005-12-06”),130.454,130.45],[new Date(“2005-12-07”),129.989,129.99],[new Date(“2005-12-08”),130.160,130.16],[new Date(“2005-12-09”),130.416,130.42],[new Date(“2005-12-10”),130.416,130.42],[new Date(“2005-12-11”),130.416,130.42],[new Date(“2005-12-12”),130.353,130.35],[new Date(“2005-12-13”),130.262,130.26],[new Date(“2005-12-14”),129.269,129.27],[new Date(“2005-12-15”),129.175,129.17],[new Date(“2005-12-16”),129.466,129.47],[new Date(“2005-12-17”),129.466,129.47],[new Date(“2005-12-18”),129.466,129.47],[new Date(“2005-12-19”),129.458,129.46],[new Date(“2005-12-20”),129.447,129.45],[new Date(“2005-12-21”),129.710,129.71],[new Date(“2005-12-22”),129.374,129.37],[new Date(“2005-12-23”),129.357,129.36],[new Date(“2005-12-24”),129.357,129.36],[new Date(“2005-12-25”),129.357,129.36],[new Date(“2005-12-26”),129.357,129.36],[new Date(“2005-12-27”),129.364,129.36],[new Date(“2005-12-28”),130.128,130.13],[new Date(“2005-12-29”),131.042,131.04],[new Date(“2005-12-30”),130.788,130.79],[new Date(“2005-12-31″),130.788,130.79],]);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, 2005

01      130.7970
02      130.5247
↗0.272, 0.21%
03      130.7398
↘0.215, 0.16%
04      131.3981
↘0.658, 0.50%
05      131.3981
→0.000, 0.00%
06      131.3981
→0.000, 0.00%
07      130.0024
↗1.396, 1.06%
08      129.5099
↗0.493, 0.38%
09      130.0565
↘0.547, 0.42%
10      131.0765
↘1.020, 0.78%
11      130.6555
↗0.421, 0.32%
12      130.6555
→0.000, 0.00%
13      130.6555
→0.000, 0.00%
14      130.6582
↘0.003, 0.00%
15      130.5569
↗0.101, 0.08%
16      130.8682
↘0.311, 0.24%
17      130.8634
↗0.005, 0.00%
18      130.7698
↗0.094, 0.07%
19      130.7698
→0.000, 0.00%
20      130.7698
→0.000, 0.00%
21      130.6071
↗0.163, 0.12%
22      130.7176
↘0.110, 0.08%
23      130.6156
↗0.102, 0.08%
24      130.5911
↗0.024, 0.02%
25      130.5962
↘0.005, 0.00%
26      130.5962
→0.000, 0.00%
27      130.5962
→0.000, 0.00%
28      130.5383
↗0.058, 0.04%
29      130.5659
↘0.028, 0.02%
30      130.5557
↗0.010, 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(“2005-11-01”),130.797,130.80],[new Date(“2005-11-02”),130.525,130.52],[new Date(“2005-11-03”),130.740,130.74],[new Date(“2005-11-04”),131.398,131.40],[new Date(“2005-11-05”),131.398,131.40],[new Date(“2005-11-06”),131.398,131.40],[new Date(“2005-11-07”),130.002,130.00],[new Date(“2005-11-08”),129.510,129.51],[new Date(“2005-11-09”),130.057,130.06],[new Date(“2005-11-10”),131.077,131.08],[new Date(“2005-11-11”),130.656,130.66],[new Date(“2005-11-12”),130.656,130.66],[new Date(“2005-11-13”),130.656,130.66],[new Date(“2005-11-14”),130.658,130.66],[new Date(“2005-11-15”),130.557,130.56],[new Date(“2005-11-16”),130.868,130.87],[new Date(“2005-11-17”),130.863,130.86],[new Date(“2005-11-18”),130.770,130.77],[new Date(“2005-11-19”),130.770,130.77],[new Date(“2005-11-20”),130.770,130.77],[new Date(“2005-11-21”),130.607,130.61],[new Date(“2005-11-22”),130.718,130.72],[new Date(“2005-11-23”),130.616,130.62],[new Date(“2005-11-24”),130.591,130.59],[new Date(“2005-11-25”),130.596,130.60],[new Date(“2005-11-26”),130.596,130.60],[new Date(“2005-11-27”),130.596,130.60],[new Date(“2005-11-28”),130.538,130.54],[new Date(“2005-11-29”),130.566,130.57],[new Date(“2005-11-30″),130.556,130.56],]);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, 2005

01      130.3765
02      130.3765
→0.000, 0.00%
03      130.3678
↗0.009, 0.01%
04      130.2699
↗0.098, 0.08%
05      130.3650
↘0.095, 0.07%
06      130.2472
↗0.118, 0.09%
07      130.2647
↘0.018, 0.01%
08      130.2647
→0.000, 0.00%
09      130.2647
→0.000, 0.00%
10      131.1509
↘0.886, 0.68%
11      130.4860
↗0.665, 0.51%
12      130.5056
↘0.020, 0.01%
13      130.4817
↗0.024, 0.02%
14      130.4665
↗0.015, 0.01%
15      130.4665
→0.000, 0.00%
16      130.4665
→0.000, 0.00%
17      130.4374
↗0.029, 0.02%
18      130.8534
↘0.416, 0.32%
19      130.9304
↘0.077, 0.06%
20      130.8649
↗0.066, 0.05%
21      130.9839
↘0.119, 0.09%
22      130.9839
→0.000, 0.00%
23      130.9839
→0.000, 0.00%
24      130.8278
↗0.156, 0.12%
25      131.1060
↘0.278, 0.21%
26      131.1934
↘0.087, 0.07%
27      131.0891
↗0.104, 0.08%
28      131.0681
↗0.021, 0.02%
29      131.0681
→0.000, 0.00%
30      131.0681
→0.000, 0.00%
31      130.5955
↗0.473, 0.36%
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(“2005-10-01”),130.376,130.38],[new Date(“2005-10-02”),130.376,130.38],[new Date(“2005-10-03”),130.368,130.37],[new Date(“2005-10-04”),130.270,130.27],[new Date(“2005-10-05”),130.365,130.37],[new Date(“2005-10-06”),130.247,130.25],[new Date(“2005-10-07”),130.265,130.26],[new Date(“2005-10-08”),130.265,130.26],[new Date(“2005-10-09”),130.265,130.26],[new Date(“2005-10-10”),131.151,131.15],[new Date(“2005-10-11”),130.486,130.49],[new Date(“2005-10-12”),130.506,130.51],[new Date(“2005-10-13”),130.482,130.48],[new Date(“2005-10-14”),130.466,130.47],[new Date(“2005-10-15”),130.466,130.47],[new Date(“2005-10-16”),130.466,130.47],[new Date(“2005-10-17”),130.437,130.44],[new Date(“2005-10-18”),130.853,130.85],[new Date(“2005-10-19”),130.930,130.93],[new Date(“2005-10-20”),130.865,130.86],[new Date(“2005-10-21”),130.984,130.98],[new Date(“2005-10-22”),130.984,130.98],[new Date(“2005-10-23”),130.984,130.98],[new Date(“2005-10-24”),130.828,130.83],[new Date(“2005-10-25”),131.106,131.11],[new Date(“2005-10-26”),131.193,131.19],[new Date(“2005-10-27”),131.089,131.09],[new Date(“2005-10-28”),131.068,131.07],[new Date(“2005-10-29”),131.068,131.07],[new Date(“2005-10-30”),131.068,131.07],[new Date(“2005-10-31″),130.595,130.60],]);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, 2005

01      132.1774
02      133.7297
↘1.552, 1.17%
03      133.7297
→0.000, 0.00%
04      133.7297
→0.000, 0.00%
05      133.8749
↘0.145, 0.11%
06      130.6503
↗3.225, 2.41%
07      132.3385
↘1.688, 1.29%
08      131.9709
↗0.368, 0.28%
09      131.7083
↗0.263, 0.20%
10      131.7083
→0.000, 0.00%
11      131.7083
→0.000, 0.00%
12      131.8286
↘0.120, 0.09%
13      132.1517
↘0.323, 0.25%
14      131.6942
↗0.457, 0.35%
15      131.3553
↗0.339, 0.26%
16      131.6201
↘0.265, 0.20%
17      131.6201
→0.000, 0.00%
18      131.6201
→0.000, 0.00%
19      131.3800
↗0.240, 0.18%
20      131.1526
↗0.227, 0.17%
21      131.1353
↗0.017, 0.01%
22      131.9545
↘0.819, 0.62%
23      132.2883
↘0.334, 0.25%
24      132.2883
→0.000, 0.00%
25      132.2883
→0.000, 0.00%
26      131.8947
↗0.394, 0.30%
27      131.3860
↗0.509, 0.39%
28      131.2241
↗0.162, 0.12%
29      131.1697
↗0.054, 0.04%
30      130.3765
↗0.793, 0.60%
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(“2005-09-01”),132.177,132.18],[new Date(“2005-09-02”),133.730,133.73],[new Date(“2005-09-03”),133.730,133.73],[new Date(“2005-09-04”),133.730,133.73],[new Date(“2005-09-05”),133.875,133.87],[new Date(“2005-09-06”),130.650,130.65],[new Date(“2005-09-07”),132.338,132.34],[new Date(“2005-09-08”),131.971,131.97],[new Date(“2005-09-09”),131.708,131.71],[new Date(“2005-09-10”),131.708,131.71],[new Date(“2005-09-11”),131.708,131.71],[new Date(“2005-09-12”),131.829,131.83],[new Date(“2005-09-13”),132.152,132.15],[new Date(“2005-09-14”),131.694,131.69],[new Date(“2005-09-15”),131.355,131.36],[new Date(“2005-09-16”),131.620,131.62],[new Date(“2005-09-17”),131.620,131.62],[new Date(“2005-09-18”),131.620,131.62],[new Date(“2005-09-19”),131.380,131.38],[new Date(“2005-09-20”),131.153,131.15],[new Date(“2005-09-21”),131.135,131.14],[new Date(“2005-09-22”),131.955,131.95],[new Date(“2005-09-23”),132.288,132.29],[new Date(“2005-09-24”),132.288,132.29],[new Date(“2005-09-25”),132.288,132.29],[new Date(“2005-09-26”),131.895,131.89],[new Date(“2005-09-27”),131.386,131.39],[new Date(“2005-09-28”),131.224,131.22],[new Date(“2005-09-29”),131.170,131.17],[new Date(“2005-09-30″),130.376,130.38],]);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, 2005

01      136.9970
02      137.4820
↘0.485, 0.35%
03      137.8095
↘0.327, 0.24%
04      137.5007
↗0.309, 0.22%
05      136.7556
↗0.745, 0.54%
06      136.7556
→0.000, 0.00%
07      136.7556
→0.000, 0.00%
08      136.9223
↘0.167, 0.12%
09      137.1735
↘0.251, 0.18%
10      137.2166
↘0.043, 0.03%
11      137.3868
↘0.170, 0.12%
12      137.2606
↗0.126, 0.09%
13      137.2606
→0.000, 0.00%
14      137.2606
→0.000, 0.00%
15      137.1391
↗0.121, 0.09%
16      137.0883
↗0.051, 0.04%
17      137.2904
↘0.202, 0.15%
18      137.5076
↘0.217, 0.16%
19      137.2910
↗0.217, 0.16%
20      137.2910
→0.000, 0.00%
21      137.2910
→0.000, 0.00%
22      137.5378
↘0.247, 0.18%
23      133.9389
↗3.599, 2.62%
24      132.2576
↗1.681, 1.26%
25      132.1758
↗0.082, 0.06%
26      131.7013
↗0.475, 0.36%
27      131.7013
→0.000, 0.00%
28      131.7013
→0.000, 0.00%
29      131.7948
↘0.093, 0.07%
30      131.8122
↘0.017, 0.01%
31      131.8679
↘0.056, 0.04%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2005-08-01”),136.997,137.00],[new Date(“2005-08-02”),137.482,137.48],[new Date(“2005-08-03”),137.809,137.81],[new Date(“2005-08-04”),137.501,137.50],[new Date(“2005-08-05”),136.756,136.76],[new Date(“2005-08-06”),136.756,136.76],[new Date(“2005-08-07”),136.756,136.76],[new Date(“2005-08-08”),136.922,136.92],[new Date(“2005-08-09”),137.173,137.17],[new Date(“2005-08-10”),137.217,137.22],[new Date(“2005-08-11”),137.387,137.39],[new Date(“2005-08-12”),137.261,137.26],[new Date(“2005-08-13”),137.261,137.26],[new Date(“2005-08-14”),137.261,137.26],[new Date(“2005-08-15”),137.139,137.14],[new Date(“2005-08-16”),137.088,137.09],[new Date(“2005-08-17”),137.290,137.29],[new Date(“2005-08-18”),137.508,137.51],[new Date(“2005-08-19”),137.291,137.29],[new Date(“2005-08-20”),137.291,137.29],[new Date(“2005-08-21”),137.291,137.29],[new Date(“2005-08-22”),137.538,137.54],[new Date(“2005-08-23”),133.939,133.94],[new Date(“2005-08-24”),132.258,132.26],[new Date(“2005-08-25”),132.176,132.18],[new Date(“2005-08-26”),131.701,131.70],[new Date(“2005-08-27”),131.701,131.70],[new Date(“2005-08-28”),131.701,131.70],[new Date(“2005-08-29”),131.795,131.79],[new Date(“2005-08-30”),131.812,131.81],[new Date(“2005-08-31″),131.868,131.87],]);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, 2005

01      133.8751
02      133.8751
→0.000, 0.00%
03      133.8751
→0.000, 0.00%
04      134.9552
↘1.080, 0.81%
05      134.7434
↗0.212, 0.16%
06      134.9464
↘0.203, 0.15%
07      134.4316
↗0.515, 0.38%
08      133.8477
↗0.584, 0.43%
09      133.8477
→0.000, 0.00%
10      133.8477
→0.000, 0.00%
11      133.8172
↗0.030, 0.02%
12      134.2750
↘0.458, 0.34%
13      134.0327
↗0.242, 0.18%
14      134.5109
↘0.478, 0.36%
15      134.6358
↘0.125, 0.09%
16      134.6358
→0.000, 0.00%
17      134.6358
→0.000, 0.00%
18      134.7858
↘0.150, 0.11%
19      135.3314
↘0.546, 0.40%
20      135.4992
↘0.168, 0.12%
21      135.4544
↗0.045, 0.03%
22      134.4388
↗1.016, 0.75%
23      134.4388
→0.000, 0.00%
24      134.4388
→0.000, 0.00%
25      134.2513
↗0.188, 0.14%
26      133.9632
↗0.288, 0.21%
27      134.1292
↘0.166, 0.12%
28      134.2486
↘0.119, 0.09%
29      135.0020
↘0.753, 0.56%
30      135.0020
→0.000, 0.00%
31      135.0020
→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(“2005-07-01”),133.875,133.88],[new Date(“2005-07-02”),133.875,133.88],[new Date(“2005-07-03”),133.875,133.88],[new Date(“2005-07-04”),134.955,134.96],[new Date(“2005-07-05”),134.743,134.74],[new Date(“2005-07-06”),134.946,134.95],[new Date(“2005-07-07”),134.432,134.43],[new Date(“2005-07-08”),133.848,133.85],[new Date(“2005-07-09”),133.848,133.85],[new Date(“2005-07-10”),133.848,133.85],[new Date(“2005-07-11”),133.817,133.82],[new Date(“2005-07-12”),134.275,134.28],[new Date(“2005-07-13”),134.033,134.03],[new Date(“2005-07-14”),134.511,134.51],[new Date(“2005-07-15”),134.636,134.64],[new Date(“2005-07-16”),134.636,134.64],[new Date(“2005-07-17”),134.636,134.64],[new Date(“2005-07-18”),134.786,134.79],[new Date(“2005-07-19”),135.331,135.33],[new Date(“2005-07-20”),135.499,135.50],[new Date(“2005-07-21”),135.454,135.45],[new Date(“2005-07-22”),134.439,134.44],[new Date(“2005-07-23”),134.439,134.44],[new Date(“2005-07-24”),134.439,134.44],[new Date(“2005-07-25”),134.251,134.25],[new Date(“2005-07-26”),133.963,133.96],[new Date(“2005-07-27”),134.129,134.13],[new Date(“2005-07-28”),134.249,134.25],[new Date(“2005-07-29”),135.002,135.00],[new Date(“2005-07-30”),135.002,135.00],[new Date(“2005-07-31″),135.002,135.00],]);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_7’));
chart.draw(data, options);
}

June, 2005

01      132.3995
02      132.6138
↘0.214, 0.16%
03      132.5737
↗0.040, 0.03%
04      132.5737
→0.000, 0.00%
05      132.5737
→0.000, 0.00%
06      132.6284
↘0.055, 0.04%
07      132.7458
↘0.117, 0.09%
08      132.9576
↘0.212, 0.16%
09      132.8729
↗0.085, 0.06%
10      133.1734
↘0.301, 0.23%
11      133.1734
→0.000, 0.00%
12      133.1734
→0.000, 0.00%
13      133.1048
↗0.069, 0.05%
14      132.7566
↗0.348, 0.26%
15      133.7062
↘0.950, 0.72%
16      133.6716
↗0.035, 0.03%
17      135.0208
↘1.349, 1.01%
18      135.0208
→0.000, 0.00%
19      135.0208
→0.000, 0.00%
20      133.7905
↗1.230, 0.91%
21      134.0387
↘0.248, 0.19%
22      134.4158
↘0.377, 0.28%
23      134.3151
↗0.101, 0.07%
24      134.0892
↗0.226, 0.17%
25      134.0892
→0.000, 0.00%
26      134.0892
→0.000, 0.00%
27      134.0947
↘0.006, 0.00%
28      134.0904
↗0.004, 0.00%
29      134.0282
↗0.062, 0.05%
30      134.4858
↘0.458, 0.34%
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(“2005-06-01”),132.399,132.40],[new Date(“2005-06-02”),132.614,132.61],[new Date(“2005-06-03”),132.574,132.57],[new Date(“2005-06-04”),132.574,132.57],[new Date(“2005-06-05”),132.574,132.57],[new Date(“2005-06-06”),132.628,132.63],[new Date(“2005-06-07”),132.746,132.75],[new Date(“2005-06-08”),132.958,132.96],[new Date(“2005-06-09”),132.873,132.87],[new Date(“2005-06-10”),133.173,133.17],[new Date(“2005-06-11”),133.173,133.17],[new Date(“2005-06-12”),133.173,133.17],[new Date(“2005-06-13”),133.105,133.10],[new Date(“2005-06-14”),132.757,132.76],[new Date(“2005-06-15”),133.706,133.71],[new Date(“2005-06-16”),133.672,133.67],[new Date(“2005-06-17”),135.021,135.02],[new Date(“2005-06-18”),135.021,135.02],[new Date(“2005-06-19”),135.021,135.02],[new Date(“2005-06-20”),133.790,133.79],[new Date(“2005-06-21”),134.039,134.04],[new Date(“2005-06-22”),134.416,134.42],[new Date(“2005-06-23”),134.315,134.32],[new Date(“2005-06-24”),134.089,134.09],[new Date(“2005-06-25”),134.089,134.09],[new Date(“2005-06-26”),134.089,134.09],[new Date(“2005-06-27”),134.095,134.09],[new Date(“2005-06-28”),134.090,134.09],[new Date(“2005-06-29”),134.028,134.03],[new Date(“2005-06-30″),134.486,134.49],]);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, 2005

01      132.2915
02      132.3281
↘0.037, 0.03%
03      132.2764
↗0.052, 0.04%
04      132.2622
↗0.014, 0.01%
05      132.3299
↘0.068, 0.05%
06      132.3858
↘0.056, 0.04%
07      132.3858
→0.000, 0.00%
08      132.3858
→0.000, 0.00%
09      132.3172
↗0.069, 0.05%
10      132.3700
↘0.053, 0.04%
11      132.3260
↗0.044, 0.03%
12      132.4598
↘0.134, 0.10%
13      132.6756
↘0.216, 0.16%
14      132.6756
→0.000, 0.00%
15      132.6756
→0.000, 0.00%
16      132.7137
↘0.038, 0.03%
17      133.2926
↘0.579, 0.44%
18      132.5283
↗0.764, 0.57%
19      133.1224
↘0.594, 0.45%
20      133.1195
↗0.003, 0.00%
21      133.1195
→0.000, 0.00%
22      133.1195
→0.000, 0.00%
23      133.4259
↘0.306, 0.23%
24      132.6441
↗0.782, 0.59%
25      132.6693
↘0.025, 0.02%
26      132.5737
↗0.096, 0.07%
27      132.6349
↘0.061, 0.05%
28      132.6349
→0.000, 0.00%
29      132.6349
→0.000, 0.00%
30      133.0725
↘0.438, 0.33%
31      132.4465
↗0.626, 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(“2005-05-01”),132.292,132.29],[new Date(“2005-05-02”),132.328,132.33],[new Date(“2005-05-03”),132.276,132.28],[new Date(“2005-05-04”),132.262,132.26],[new Date(“2005-05-05”),132.330,132.33],[new Date(“2005-05-06”),132.386,132.39],[new Date(“2005-05-07”),132.386,132.39],[new Date(“2005-05-08”),132.386,132.39],[new Date(“2005-05-09”),132.317,132.32],[new Date(“2005-05-10”),132.370,132.37],[new Date(“2005-05-11”),132.326,132.33],[new Date(“2005-05-12”),132.460,132.46],[new Date(“2005-05-13”),132.676,132.68],[new Date(“2005-05-14”),132.676,132.68],[new Date(“2005-05-15”),132.676,132.68],[new Date(“2005-05-16”),132.714,132.71],[new Date(“2005-05-17”),133.293,133.29],[new Date(“2005-05-18”),132.528,132.53],[new Date(“2005-05-19”),133.122,133.12],[new Date(“2005-05-20”),133.120,133.12],[new Date(“2005-05-21”),133.120,133.12],[new Date(“2005-05-22”),133.120,133.12],[new Date(“2005-05-23”),133.426,133.43],[new Date(“2005-05-24”),132.644,132.64],[new Date(“2005-05-25”),132.669,132.67],[new Date(“2005-05-26”),132.574,132.57],[new Date(“2005-05-27”),132.635,132.63],[new Date(“2005-05-28”),132.635,132.63],[new Date(“2005-05-29”),132.635,132.63],[new Date(“2005-05-30”),133.072,133.07],[new Date(“2005-05-31″),132.446,132.45],]);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, 2005

01      132.3377
02      132.3377
→0.000, 0.00%
03      132.3377
→0.000, 0.00%
04      132.5094
↘0.172, 0.13%
05      132.1903
↗0.319, 0.24%
06      132.2756
↘0.085, 0.06%
07      132.2638
↗0.012, 0.01%
08      132.2894
↘0.026, 0.02%
09      132.2894
→0.000, 0.00%
10      132.2894
→0.000, 0.00%
11      132.3793
↘0.090, 0.07%
12      132.7223
↘0.343, 0.26%
13      132.7233
↘0.001, 0.00%
14      132.4741
↗0.249, 0.19%
15      132.5451
↘0.071, 0.05%
16      132.5451
→0.000, 0.00%
17      132.5451
→0.000, 0.00%
18      132.5363
↗0.009, 0.01%
19      132.4777
↗0.059, 0.04%
20      132.5020
↘0.024, 0.02%
21      132.4562
↗0.046, 0.03%
22      132.4638
↘0.008, 0.01%
23      132.4638
→0.000, 0.00%
24      132.4638
→0.000, 0.00%
25      132.4085
↗0.055, 0.04%
26      132.4115
↘0.003, 0.00%
27      132.4254
↘0.014, 0.01%
28      132.4258
↘0.000, 0.00%
29      132.2915
↗0.134, 0.10%
30      132.2915
→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(“2005-04-01”),132.338,132.34],[new Date(“2005-04-02”),132.338,132.34],[new Date(“2005-04-03”),132.338,132.34],[new Date(“2005-04-04”),132.509,132.51],[new Date(“2005-04-05”),132.190,132.19],[new Date(“2005-04-06”),132.276,132.28],[new Date(“2005-04-07”),132.264,132.26],[new Date(“2005-04-08”),132.289,132.29],[new Date(“2005-04-09”),132.289,132.29],[new Date(“2005-04-10”),132.289,132.29],[new Date(“2005-04-11”),132.379,132.38],[new Date(“2005-04-12”),132.722,132.72],[new Date(“2005-04-13”),132.723,132.72],[new Date(“2005-04-14”),132.474,132.47],[new Date(“2005-04-15”),132.545,132.55],[new Date(“2005-04-16”),132.545,132.55],[new Date(“2005-04-17”),132.545,132.55],[new Date(“2005-04-18”),132.536,132.54],[new Date(“2005-04-19”),132.478,132.48],[new Date(“2005-04-20”),132.502,132.50],[new Date(“2005-04-21”),132.456,132.46],[new Date(“2005-04-22”),132.464,132.46],[new Date(“2005-04-23”),132.464,132.46],[new Date(“2005-04-24”),132.464,132.46],[new Date(“2005-04-25”),132.408,132.41],[new Date(“2005-04-26”),132.412,132.41],[new Date(“2005-04-27”),132.425,132.43],[new Date(“2005-04-28”),132.426,132.43],[new Date(“2005-04-29”),132.292,132.29],[new Date(“2005-04-30″),132.292,132.29],]);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, 2005

01      132.6767
02      132.6824
↘0.006, 0.00%
03      132.4601
↗0.222, 0.17%
04      132.7248
↘0.265, 0.20%
05      132.7248
→0.000, 0.00%
06      132.7248
→0.000, 0.00%
07      132.6811
↗0.044, 0.03%
08      132.7670
↘0.086, 0.06%
09      133.1782
↘0.411, 0.31%
10      132.7862
↗0.392, 0.29%
11      132.6693
↗0.117, 0.09%
12      132.6693
→0.000, 0.00%
13      132.6693
→0.000, 0.00%
14      132.3775
↗0.292, 0.22%
15      132.6291
↘0.252, 0.19%
16      132.4548
↗0.174, 0.13%
17      132.6554
↘0.201, 0.15%
18      132.3834
↗0.272, 0.21%
19      132.3834
→0.000, 0.00%
20      132.3834
→0.000, 0.00%
21      132.3873
↘0.004, 0.00%
22      132.3924
↘0.005, 0.00%
23      132.3442
↗0.048, 0.04%
24      132.5731
↘0.229, 0.17%
25      132.5731
→0.000, 0.00%
26      132.5731
→0.000, 0.00%
27      132.5731
→0.000, 0.00%
28      132.5731
→0.000, 0.00%
29      132.3254
↗0.248, 0.19%
30      132.2428
↗0.083, 0.06%
31      132.2812
↘0.038, 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(“2005-03-01”),132.677,132.68],[new Date(“2005-03-02”),132.682,132.68],[new Date(“2005-03-03”),132.460,132.46],[new Date(“2005-03-04”),132.725,132.72],[new Date(“2005-03-05”),132.725,132.72],[new Date(“2005-03-06”),132.725,132.72],[new Date(“2005-03-07”),132.681,132.68],[new Date(“2005-03-08”),132.767,132.77],[new Date(“2005-03-09”),133.178,133.18],[new Date(“2005-03-10”),132.786,132.79],[new Date(“2005-03-11”),132.669,132.67],[new Date(“2005-03-12”),132.669,132.67],[new Date(“2005-03-13”),132.669,132.67],[new Date(“2005-03-14”),132.378,132.38],[new Date(“2005-03-15”),132.629,132.63],[new Date(“2005-03-16”),132.455,132.45],[new Date(“2005-03-17”),132.655,132.66],[new Date(“2005-03-18”),132.383,132.38],[new Date(“2005-03-19”),132.383,132.38],[new Date(“2005-03-20”),132.383,132.38],[new Date(“2005-03-21”),132.387,132.39],[new Date(“2005-03-22”),132.392,132.39],[new Date(“2005-03-23”),132.344,132.34],[new Date(“2005-03-24”),132.573,132.57],[new Date(“2005-03-25”),132.573,132.57],[new Date(“2005-03-26”),132.573,132.57],[new Date(“2005-03-27”),132.573,132.57],[new Date(“2005-03-28”),132.573,132.57],[new Date(“2005-03-29”),132.325,132.33],[new Date(“2005-03-30”),132.243,132.24],[new Date(“2005-03-31″),132.281,132.28],]);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, 2005

01      133.1247
02      133.2087
↘0.084, 0.06%
03      132.8310
↗0.378, 0.28%
04      132.7715
↗0.060, 0.04%
05      132.7715
→0.000, 0.00%
06      132.7715
→0.000, 0.00%
07      132.7840
↘0.013, 0.01%
08      132.7366
↗0.047, 0.04%
09      132.7235
↗0.013, 0.01%
10      132.7783
↘0.055, 0.04%
11      132.6428
↗0.135, 0.10%
12      132.6428
→0.000, 0.00%
13      132.6428
→0.000, 0.00%
14      132.9437
↘0.301, 0.23%
15      132.9490
↘0.005, 0.00%
16      132.9633
↘0.014, 0.01%
17      132.9395
↗0.024, 0.02%
18      132.4882
↗0.451, 0.34%
19      132.4882
→0.000, 0.00%
20      132.4882
→0.000, 0.00%
21      132.3472
↗0.141, 0.11%
22      132.9429
↘0.596, 0.45%
23      132.8779
↗0.065, 0.05%
24      132.7303
↗0.148, 0.11%
25      132.4025
↗0.328, 0.25%
26      132.4025
→0.000, 0.00%
27      132.4025
→0.000, 0.00%
28      132.6300
↘0.228, 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(“2005-02-01”),133.125,133.12],[new Date(“2005-02-02”),133.209,133.21],[new Date(“2005-02-03”),132.831,132.83],[new Date(“2005-02-04”),132.771,132.77],[new Date(“2005-02-05”),132.771,132.77],[new Date(“2005-02-06”),132.771,132.77],[new Date(“2005-02-07”),132.784,132.78],[new Date(“2005-02-08”),132.737,132.74],[new Date(“2005-02-09”),132.724,132.72],[new Date(“2005-02-10”),132.778,132.78],[new Date(“2005-02-11”),132.643,132.64],[new Date(“2005-02-12”),132.643,132.64],[new Date(“2005-02-13”),132.643,132.64],[new Date(“2005-02-14”),132.944,132.94],[new Date(“2005-02-15”),132.949,132.95],[new Date(“2005-02-16”),132.963,132.96],[new Date(“2005-02-17”),132.939,132.94],[new Date(“2005-02-18”),132.488,132.49],[new Date(“2005-02-19”),132.488,132.49],[new Date(“2005-02-20”),132.488,132.49],[new Date(“2005-02-21”),132.347,132.35],[new Date(“2005-02-22”),132.943,132.94],[new Date(“2005-02-23”),132.878,132.88],[new Date(“2005-02-24”),132.730,132.73],[new Date(“2005-02-25”),132.403,132.40],[new Date(“2005-02-26”),132.403,132.40],[new Date(“2005-02-27”),132.403,132.40],[new Date(“2005-02-28″),132.630,132.63],]);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, 2005

01      132.5183
02      132.5183
→0.000, 0.00%
03      132.5608
↘0.043, 0.03%
04      132.5806
↘0.020, 0.01%
05      132.4942
↗0.086, 0.07%
06      132.4942
→0.000, 0.00%
07      132.4173
↗0.077, 0.06%
08      132.4173
→0.000, 0.00%
09      132.4173
→0.000, 0.00%
10      132.6418
↘0.225, 0.17%
11      132.6288
↗0.013, 0.01%
12      132.5565
↗0.072, 0.05%
13      132.6084
↘0.052, 0.04%
14      132.6245
↘0.016, 0.01%
15      132.6245
→0.000, 0.00%
16      132.6245
→0.000, 0.00%
17      132.9178
↘0.293, 0.22%
18      132.8914
↗0.026, 0.02%
19      132.9522
↘0.061, 0.05%
20      132.9812
↘0.029, 0.02%
21      133.0833
↘0.102, 0.08%
22      133.0833
→0.000, 0.00%
23      133.0833
→0.000, 0.00%
24      132.8404
↗0.243, 0.18%
25      132.7897
↗0.051, 0.04%
26      132.8825
↘0.093, 0.07%
27      132.8989
↘0.016, 0.01%
28      132.9643
↘0.065, 0.05%
29      132.9643
→0.000, 0.00%
30      132.9643
→0.000, 0.00%
31      133.1025
↘0.138, 0.10%
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(“2005-01-01”),132.518,132.52],[new Date(“2005-01-02”),132.518,132.52],[new Date(“2005-01-03”),132.561,132.56],[new Date(“2005-01-04”),132.581,132.58],[new Date(“2005-01-05”),132.494,132.49],[new Date(“2005-01-06”),132.494,132.49],[new Date(“2005-01-07”),132.417,132.42],[new Date(“2005-01-08”),132.417,132.42],[new Date(“2005-01-09”),132.417,132.42],[new Date(“2005-01-10”),132.642,132.64],[new Date(“2005-01-11”),132.629,132.63],[new Date(“2005-01-12”),132.557,132.56],[new Date(“2005-01-13”),132.608,132.61],[new Date(“2005-01-14”),132.625,132.62],[new Date(“2005-01-15”),132.625,132.62],[new Date(“2005-01-16”),132.625,132.62],[new Date(“2005-01-17”),132.918,132.92],[new Date(“2005-01-18”),132.891,132.89],[new Date(“2005-01-19”),132.952,132.95],[new Date(“2005-01-20”),132.981,132.98],[new Date(“2005-01-21”),133.083,133.08],[new Date(“2005-01-22”),133.083,133.08],[new Date(“2005-01-23”),133.083,133.08],[new Date(“2005-01-24”),132.840,132.84],[new Date(“2005-01-25”),132.790,132.79],[new Date(“2005-01-26”),132.882,132.88],[new Date(“2005-01-27”),132.899,132.90],[new Date(“2005-01-28”),132.964,132.96],[new Date(“2005-01-29”),132.964,132.96],[new Date(“2005-01-30”),132.964,132.96],[new Date(“2005-01-31″),133.102,133.10],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}