Nigerian Naira NGN 2003 Conversion Rates

  • Opening Value is 124.761133 NGN per Dollar
  • Closing Value is 139.553716 NGN per Dollar
  • Change in Value during 2003 is 14.7926 which is 11.86%
  • Best Performance is on 2003-01-01 with 124.761133 NGN per Dollar
  • Lowest Performance is on 2003-11-10 with 149.914243 NGN per Dollar
  • Average Value is 132.3510 NGN per Dollar
  • Swing Between the higest and the lowest is 25.1531 per Dollar, that is 20.16% compared to the opening value.

USD to NGN Conversion Rates – 12 months

Date 1 USD =
2003-12-31 139.5537 NGN
2003-11-30 144.2577 NGN
2003-10-31 138.4759 NGN
2003-09-30 131.0415 NGN
2003-08-31 131.2377 NGN
2003-07-31 127.2330 NGN
2003-06-30 128.9485 NGN
2003-05-31 130.8098 NGN
2003-04-30 130.7394 NGN
2003-03-31 130.5691 NGN
2003-02-28 128.3417 NGN
2003-01-31 128.0085 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(“2003-12-31”),139.554,139.55],[new Date(“2003-11-30”),144.258,144.26],[new Date(“2003-10-31”),138.476,138.48],[new Date(“2003-09-30”),131.041,131.04],[new Date(“2003-08-31”),131.238,131.24],[new Date(“2003-07-31”),127.233,127.23],[new Date(“2003-06-30”),128.948,128.95],[new Date(“2003-05-31”),130.810,130.81],[new Date(“2003-04-30”),130.739,130.74],[new Date(“2003-03-31”),130.569,130.57],[new Date(“2003-02-28”),128.342,128.34],[new Date(“2003-01-31”),128.009,128.01],]);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, 2003

01      143.3629
02      144.8637
↘1.501, 1.05%
03      142.7292
↗2.135, 1.47%
04      143.4404
↘0.711, 0.50%
05      143.3881
↗0.052, 0.04%
06      143.3881
→0.000, 0.00%
07      143.3881
→0.000, 0.00%
08      139.8677
↗3.520, 2.46%
09      141.1009
↘1.233, 0.88%
10      142.7740
↘1.673, 1.19%
11      142.4912
↗0.283, 0.20%
12      143.0706
↘0.579, 0.41%
13      143.0706
→0.000, 0.00%
14      143.0706
→0.000, 0.00%
15      143.0743
↘0.004, 0.00%
16      140.4356
↗2.639, 1.84%
17      143.0791
↘2.643, 1.88%
18      139.5561
↗3.523, 2.46%
19      143.0811
↘3.525, 2.53%
20      143.0811
→0.000, 0.00%
21      143.0811
→0.000, 0.00%
22      139.3839
↗3.697, 2.58%
23      143.0699
↘3.686, 2.64%
24      143.0732
↘0.003, 0.00%
25      143.0732
→0.000, 0.00%
26      143.0732
→0.000, 0.00%
27      143.0732
→0.000, 0.00%
28      143.0732
→0.000, 0.00%
29      141.4171
↗1.656, 1.16%
30      139.5425
↗1.875, 1.33%
31      139.5537
↘0.011, 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(“2003-12-01”),143.363,143.36],[new Date(“2003-12-02”),144.864,144.86],[new Date(“2003-12-03”),142.729,142.73],[new Date(“2003-12-04”),143.440,143.44],[new Date(“2003-12-05”),143.388,143.39],[new Date(“2003-12-06”),143.388,143.39],[new Date(“2003-12-07”),143.388,143.39],[new Date(“2003-12-08”),139.868,139.87],[new Date(“2003-12-09”),141.101,141.10],[new Date(“2003-12-10”),142.774,142.77],[new Date(“2003-12-11”),142.491,142.49],[new Date(“2003-12-12”),143.071,143.07],[new Date(“2003-12-13”),143.071,143.07],[new Date(“2003-12-14”),143.071,143.07],[new Date(“2003-12-15”),143.074,143.07],[new Date(“2003-12-16”),140.436,140.44],[new Date(“2003-12-17”),143.079,143.08],[new Date(“2003-12-18”),139.556,139.56],[new Date(“2003-12-19”),143.081,143.08],[new Date(“2003-12-20”),143.081,143.08],[new Date(“2003-12-21”),143.081,143.08],[new Date(“2003-12-22”),139.384,139.38],[new Date(“2003-12-23”),143.070,143.07],[new Date(“2003-12-24”),143.073,143.07],[new Date(“2003-12-25”),143.073,143.07],[new Date(“2003-12-26”),143.073,143.07],[new Date(“2003-12-27”),143.073,143.07],[new Date(“2003-12-28”),143.073,143.07],[new Date(“2003-12-29”),141.417,141.42],[new Date(“2003-12-30”),139.543,139.54],[new Date(“2003-12-31″),139.554,139.55],]);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, 2003

01      138.4759
02      138.4759
→0.000, 0.00%
03      138.4421
↗0.034, 0.02%
04      138.4558
↘0.014, 0.01%
05      132.7520
↗5.704, 4.12%
06      149.6409
↘16.889, 12.72%
07      149.9140
↘0.273, 0.18%
08      149.9140
→0.000, 0.00%
09      149.9140
→0.000, 0.00%
10      149.9142
↘0.000, 0.00%
11      136.1134
↗13.801, 9.21%
12      136.5112
↘0.398, 0.29%
13      138.8721
↘2.361, 1.73%
14      136.2017
↗2.670, 1.92%
15      136.2017
→0.000, 0.00%
16      136.2017
→0.000, 0.00%
17      136.1170
↗0.085, 0.06%
18      136.1347
↘0.018, 0.01%
19      136.5205
↘0.386, 0.28%
20      140.2746
↘3.754, 2.75%
21      143.1838
↘2.909, 2.07%
22      143.1838
→0.000, 0.00%
23      143.1838
→0.000, 0.00%
24      137.5844
↗5.599, 3.91%
25      142.8314
↘5.247, 3.81%
26      137.3708
↗5.461, 3.82%
27      136.4255
↗0.945, 0.69%
28      144.2577
↘7.832, 5.74%
29      144.2577
→0.000, 0.00%
30      144.2577
→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(“2003-11-01”),138.476,138.48],[new Date(“2003-11-02”),138.476,138.48],[new Date(“2003-11-03”),138.442,138.44],[new Date(“2003-11-04”),138.456,138.46],[new Date(“2003-11-05”),132.752,132.75],[new Date(“2003-11-06”),149.641,149.64],[new Date(“2003-11-07”),149.914,149.91],[new Date(“2003-11-08”),149.914,149.91],[new Date(“2003-11-09”),149.914,149.91],[new Date(“2003-11-10”),149.914,149.91],[new Date(“2003-11-11”),136.113,136.11],[new Date(“2003-11-12”),136.511,136.51],[new Date(“2003-11-13”),138.872,138.87],[new Date(“2003-11-14”),136.202,136.20],[new Date(“2003-11-15”),136.202,136.20],[new Date(“2003-11-16”),136.202,136.20],[new Date(“2003-11-17”),136.117,136.12],[new Date(“2003-11-18”),136.135,136.13],[new Date(“2003-11-19”),136.520,136.52],[new Date(“2003-11-20”),140.275,140.27],[new Date(“2003-11-21”),143.184,143.18],[new Date(“2003-11-22”),143.184,143.18],[new Date(“2003-11-23”),143.184,143.18],[new Date(“2003-11-24”),137.584,137.58],[new Date(“2003-11-25”),142.831,142.83],[new Date(“2003-11-26”),137.371,137.37],[new Date(“2003-11-27”),136.425,136.43],[new Date(“2003-11-28”),144.258,144.26],[new Date(“2003-11-29”),144.258,144.26],[new Date(“2003-11-30″),144.258,144.26],]);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, 2003

01      130.3578
02      130.2768
↗0.081, 0.06%
03      130.9783
↘0.701, 0.54%
04      130.9783
→0.000, 0.00%
05      130.9783
→0.000, 0.00%
06      130.4095
↗0.569, 0.43%
07      130.3430
↗0.067, 0.05%
08      130.9270
↘0.584, 0.45%
09      129.7724
↗1.155, 0.88%
10      131.0584
↘1.286, 0.99%
11      131.0584
→0.000, 0.00%
12      131.0584
→0.000, 0.00%
13      132.7986
↘1.740, 1.33%
14      131.9492
↗0.849, 0.64%
15      131.1728
↗0.776, 0.59%
16      133.9790
↘2.806, 2.14%
17      132.1861
↗1.793, 1.34%
18      132.1861
→0.000, 0.00%
19      132.1861
→0.000, 0.00%
20      137.1040
↘4.918, 3.72%
21      137.3970
↘0.293, 0.21%
22      131.4092
↗5.988, 4.36%
23      134.5299
↘3.121, 2.37%
24      134.7984
↘0.268, 0.20%
25      134.7984
→0.000, 0.00%
26      134.7984
→0.000, 0.00%
27      136.0114
↘1.213, 0.90%
28      133.3059
↗2.705, 1.99%
29      135.2208
↘1.915, 1.44%
30      138.4958
↘3.275, 2.42%
31      138.4759
↗0.020, 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(“2003-10-01”),130.358,130.36],[new Date(“2003-10-02”),130.277,130.28],[new Date(“2003-10-03”),130.978,130.98],[new Date(“2003-10-04”),130.978,130.98],[new Date(“2003-10-05”),130.978,130.98],[new Date(“2003-10-06”),130.410,130.41],[new Date(“2003-10-07”),130.343,130.34],[new Date(“2003-10-08”),130.927,130.93],[new Date(“2003-10-09”),129.772,129.77],[new Date(“2003-10-10”),131.058,131.06],[new Date(“2003-10-11”),131.058,131.06],[new Date(“2003-10-12”),131.058,131.06],[new Date(“2003-10-13”),132.799,132.80],[new Date(“2003-10-14”),131.949,131.95],[new Date(“2003-10-15”),131.173,131.17],[new Date(“2003-10-16”),133.979,133.98],[new Date(“2003-10-17”),132.186,132.19],[new Date(“2003-10-18”),132.186,132.19],[new Date(“2003-10-19”),132.186,132.19],[new Date(“2003-10-20”),137.104,137.10],[new Date(“2003-10-21”),137.397,137.40],[new Date(“2003-10-22”),131.409,131.41],[new Date(“2003-10-23”),134.530,134.53],[new Date(“2003-10-24”),134.798,134.80],[new Date(“2003-10-25”),134.798,134.80],[new Date(“2003-10-26”),134.798,134.80],[new Date(“2003-10-27”),136.011,136.01],[new Date(“2003-10-28”),133.306,133.31],[new Date(“2003-10-29”),135.221,135.22],[new Date(“2003-10-30”),138.496,138.50],[new Date(“2003-10-31″),138.476,138.48],]);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, 2003

01      131.9890
02      129.4490
↗2.540, 1.92%
03      131.2343
↘1.785, 1.38%
04      130.4552
↗0.779, 0.59%
05      131.8608
↘1.406, 1.08%
06      131.8608
→0.000, 0.00%
07      131.8608
→0.000, 0.00%
08      130.0980
↗1.763, 1.34%
09      130.1295
↘0.031, 0.02%
10      130.0071
↗0.122, 0.09%
11      130.0555
↘0.048, 0.04%
12      131.0356
↘0.980, 0.75%
13      131.0356
→0.000, 0.00%
14      131.0356
→0.000, 0.00%
15      130.1271
↗0.909, 0.69%
16      130.3008
↘0.174, 0.13%
17      130.5681
↘0.267, 0.21%
18      130.1854
↗0.383, 0.29%
19      129.3515
↗0.834, 0.64%
20      129.3515
→0.000, 0.00%
21      129.3515
→0.000, 0.00%
22      132.0258
↘2.674, 2.07%
23      131.0788
↗0.947, 0.72%
24      130.4902
↗0.589, 0.45%
25      130.3291
↗0.161, 0.12%
26      129.3947
↗0.934, 0.72%
27      129.3947
→0.000, 0.00%
28      129.3947
→0.000, 0.00%
29      130.2513
↘0.857, 0.66%
30      131.0415
↘0.790, 0.61%
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(“2003-09-01”),131.989,131.99],[new Date(“2003-09-02”),129.449,129.45],[new Date(“2003-09-03”),131.234,131.23],[new Date(“2003-09-04”),130.455,130.46],[new Date(“2003-09-05”),131.861,131.86],[new Date(“2003-09-06”),131.861,131.86],[new Date(“2003-09-07”),131.861,131.86],[new Date(“2003-09-08”),130.098,130.10],[new Date(“2003-09-09”),130.129,130.13],[new Date(“2003-09-10”),130.007,130.01],[new Date(“2003-09-11”),130.055,130.06],[new Date(“2003-09-12”),131.036,131.04],[new Date(“2003-09-13”),131.036,131.04],[new Date(“2003-09-14”),131.036,131.04],[new Date(“2003-09-15”),130.127,130.13],[new Date(“2003-09-16”),130.301,130.30],[new Date(“2003-09-17”),130.568,130.57],[new Date(“2003-09-18”),130.185,130.19],[new Date(“2003-09-19”),129.351,129.35],[new Date(“2003-09-20”),129.351,129.35],[new Date(“2003-09-21”),129.351,129.35],[new Date(“2003-09-22”),132.026,132.03],[new Date(“2003-09-23”),131.079,131.08],[new Date(“2003-09-24”),130.490,130.49],[new Date(“2003-09-25”),130.329,130.33],[new Date(“2003-09-26”),129.395,129.39],[new Date(“2003-09-27”),129.395,129.39],[new Date(“2003-09-28”),129.395,129.39],[new Date(“2003-09-29”),130.251,130.25],[new Date(“2003-09-30″),131.041,131.04],]);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, 2003

01      129.8103
02      129.8103
→0.000, 0.00%
03      129.8103
→0.000, 0.00%
04      128.2556
↗1.555, 1.20%
05      125.8707
↗2.385, 1.86%
06      128.2588
↘2.388, 1.90%
07      127.7180
↗0.541, 0.42%
08      129.3245
↘1.607, 1.26%
09      129.3245
→0.000, 0.00%
10      129.3245
→0.000, 0.00%
11      127.0033
↗2.321, 1.79%
12      128.1295
↘1.126, 0.89%
13      130.0655
↘1.936, 1.51%
14      129.7871
↗0.278, 0.21%
15      130.4500
↘0.663, 0.51%
16      130.4500
→0.000, 0.00%
17      130.4500
→0.000, 0.00%
18      129.7317
↗0.718, 0.55%
19      130.7555
↘1.024, 0.79%
20      130.5763
↗0.179, 0.14%
21      130.6263
↘0.050, 0.04%
22      128.3201
↗2.306, 1.77%
23      128.3201
→0.000, 0.00%
24      128.3201
→0.000, 0.00%
25      130.3269
↘2.007, 1.56%
26      130.5525
↘0.226, 0.17%
27      130.6254
↘0.073, 0.06%
28      134.1688
↘3.543, 2.71%
29      131.2377
↗2.931, 2.18%
30      131.2377
→0.000, 0.00%
31      131.2377
→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(“2003-08-01”),129.810,129.81],[new Date(“2003-08-02”),129.810,129.81],[new Date(“2003-08-03”),129.810,129.81],[new Date(“2003-08-04”),128.256,128.26],[new Date(“2003-08-05”),125.871,125.87],[new Date(“2003-08-06”),128.259,128.26],[new Date(“2003-08-07”),127.718,127.72],[new Date(“2003-08-08”),129.325,129.32],[new Date(“2003-08-09”),129.325,129.32],[new Date(“2003-08-10”),129.325,129.32],[new Date(“2003-08-11”),127.003,127.00],[new Date(“2003-08-12”),128.130,128.13],[new Date(“2003-08-13”),130.065,130.07],[new Date(“2003-08-14”),129.787,129.79],[new Date(“2003-08-15”),130.450,130.45],[new Date(“2003-08-16”),130.450,130.45],[new Date(“2003-08-17”),130.450,130.45],[new Date(“2003-08-18”),129.732,129.73],[new Date(“2003-08-19”),130.755,130.76],[new Date(“2003-08-20”),130.576,130.58],[new Date(“2003-08-21”),130.626,130.63],[new Date(“2003-08-22”),128.320,128.32],[new Date(“2003-08-23”),128.320,128.32],[new Date(“2003-08-24”),128.320,128.32],[new Date(“2003-08-25”),130.327,130.33],[new Date(“2003-08-26”),130.552,130.55],[new Date(“2003-08-27”),130.625,130.63],[new Date(“2003-08-28”),134.169,134.17],[new Date(“2003-08-29”),131.238,131.24],[new Date(“2003-08-30”),131.238,131.24],[new Date(“2003-08-31″),131.238,131.24],]);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, 2003

01      128.6819
02      128.9545
↘0.273, 0.21%
03      129.1024
↘0.148, 0.11%
04      129.6464
↘0.544, 0.42%
05      129.6464
→0.000, 0.00%
06      129.6464
→0.000, 0.00%
07      130.8530
↘1.207, 0.93%
08      131.8889
↘1.036, 0.79%
09      131.0049
↗0.884, 0.67%
10      131.3194
↘0.314, 0.24%
11      131.4477
↘0.128, 0.10%
12      131.4477
→0.000, 0.00%
13      131.4477
→0.000, 0.00%
14      131.9105
↘0.463, 0.35%
15      128.8361
↗3.074, 2.33%
16      128.9059
↘0.070, 0.05%
17      129.0127
↘0.107, 0.08%
18      129.2376
↘0.225, 0.17%
19      129.2376
→0.000, 0.00%
20      129.2376
→0.000, 0.00%
21      131.8462
↘2.609, 2.02%
22      131.0710
↗0.775, 0.59%
23      130.6358
↗0.435, 0.33%
24      129.5809
↗1.055, 0.81%
25      127.5103
↗2.071, 1.60%
26      127.5103
→0.000, 0.00%
27      127.5103
→0.000, 0.00%
28      130.0272
↘2.517, 1.97%
29      127.2378
↗2.789, 2.15%
30      128.1245
↘0.887, 0.70%
31      127.2330
↗0.892, 0.70%
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(“2003-07-01”),128.682,128.68],[new Date(“2003-07-02”),128.955,128.95],[new Date(“2003-07-03”),129.102,129.10],[new Date(“2003-07-04”),129.646,129.65],[new Date(“2003-07-05”),129.646,129.65],[new Date(“2003-07-06”),129.646,129.65],[new Date(“2003-07-07”),130.853,130.85],[new Date(“2003-07-08”),131.889,131.89],[new Date(“2003-07-09”),131.005,131.00],[new Date(“2003-07-10”),131.319,131.32],[new Date(“2003-07-11”),131.448,131.45],[new Date(“2003-07-12”),131.448,131.45],[new Date(“2003-07-13”),131.448,131.45],[new Date(“2003-07-14”),131.910,131.91],[new Date(“2003-07-15”),128.836,128.84],[new Date(“2003-07-16”),128.906,128.91],[new Date(“2003-07-17”),129.013,129.01],[new Date(“2003-07-18”),129.238,129.24],[new Date(“2003-07-19”),129.238,129.24],[new Date(“2003-07-20”),129.238,129.24],[new Date(“2003-07-21”),131.846,131.85],[new Date(“2003-07-22”),131.071,131.07],[new Date(“2003-07-23”),130.636,130.64],[new Date(“2003-07-24”),129.581,129.58],[new Date(“2003-07-25”),127.510,127.51],[new Date(“2003-07-26”),127.510,127.51],[new Date(“2003-07-27”),127.510,127.51],[new Date(“2003-07-28”),130.027,130.03],[new Date(“2003-07-29”),127.238,127.24],[new Date(“2003-07-30”),128.125,128.12],[new Date(“2003-07-31″),127.233,127.23],]);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, 2003

01      130.8098
02      129.7702
↗1.040, 0.79%
03      136.3319
↘6.562, 5.06%
04      136.4649
↘0.133, 0.10%
05      136.8486
↘0.384, 0.28%
06      135.1462
↗1.702, 1.24%
07      135.1462
→0.000, 0.00%
08      135.1462
→0.000, 0.00%
09      136.5484
↘1.402, 1.04%
10      136.3799
↗0.168, 0.12%
11      136.1258
↗0.254, 0.19%
12      136.0993
↗0.026, 0.02%
13      135.8903
↗0.209, 0.15%
14      135.8903
→0.000, 0.00%
15      135.8903
→0.000, 0.00%
16      130.5527
↗5.338, 3.93%
17      135.4065
↘4.854, 3.72%
18      136.2981
↘0.892, 0.66%
19      130.3576
↗5.940, 4.36%
20      129.9506
↗0.407, 0.31%
21      129.9506
→0.000, 0.00%
22      129.9506
→0.000, 0.00%
23      130.8304
↘0.880, 0.68%
24      129.2283
↗1.602, 1.22%
25      129.1918
↗0.037, 0.03%
26      128.9203
↗0.271, 0.21%
27      128.8638
↗0.056, 0.04%
28      128.8638
→0.000, 0.00%
29      128.8638
→0.000, 0.00%
30      128.9485
↘0.085, 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(“2003-06-01”),130.810,130.81],[new Date(“2003-06-02”),129.770,129.77],[new Date(“2003-06-03”),136.332,136.33],[new Date(“2003-06-04”),136.465,136.46],[new Date(“2003-06-05”),136.849,136.85],[new Date(“2003-06-06”),135.146,135.15],[new Date(“2003-06-07”),135.146,135.15],[new Date(“2003-06-08”),135.146,135.15],[new Date(“2003-06-09”),136.548,136.55],[new Date(“2003-06-10”),136.380,136.38],[new Date(“2003-06-11”),136.126,136.13],[new Date(“2003-06-12”),136.099,136.10],[new Date(“2003-06-13”),135.890,135.89],[new Date(“2003-06-14”),135.890,135.89],[new Date(“2003-06-15”),135.890,135.89],[new Date(“2003-06-16”),130.553,130.55],[new Date(“2003-06-17”),135.407,135.41],[new Date(“2003-06-18”),136.298,136.30],[new Date(“2003-06-19”),130.358,130.36],[new Date(“2003-06-20”),129.951,129.95],[new Date(“2003-06-21”),129.951,129.95],[new Date(“2003-06-22”),129.951,129.95],[new Date(“2003-06-23”),130.830,130.83],[new Date(“2003-06-24”),129.228,129.23],[new Date(“2003-06-25”),129.192,129.19],[new Date(“2003-06-26”),128.920,128.92],[new Date(“2003-06-27”),128.864,128.86],[new Date(“2003-06-28”),128.864,128.86],[new Date(“2003-06-29”),128.864,128.86],[new Date(“2003-06-30″),128.948,128.95],]);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, 2003

01      130.7394
02      129.9523
↗0.787, 0.60%
03      129.9523
→0.000, 0.00%
04      129.9523
→0.000, 0.00%
05      129.8515
↗0.101, 0.08%
06      129.9219
↘0.070, 0.05%
07      132.7339
↘2.812, 2.16%
08      133.2513
↘0.517, 0.39%
09      131.8597
↗1.392, 1.04%
10      131.8597
→0.000, 0.00%
11      131.8597
→0.000, 0.00%
12      130.7458
↗1.114, 0.84%
13      128.9481
↗1.798, 1.37%
14      131.9136
↘2.965, 2.30%
15      129.3199
↗2.594, 1.97%
16      132.4801
↘3.160, 2.44%
17      132.4801
→0.000, 0.00%
18      132.4801
→0.000, 0.00%
19      128.9195
↗3.561, 2.69%
20      128.6414
↗0.278, 0.22%
21      129.4225
↘0.781, 0.61%
22      128.8104
↗0.612, 0.47%
23      128.5375
↗0.273, 0.21%
24      128.5375
→0.000, 0.00%
25      128.5375
→0.000, 0.00%
26      128.3780
↗0.159, 0.12%
27      127.3101
↗1.068, 0.83%
28      128.6437
↘1.334, 1.05%
29      129.0855
↘0.442, 0.34%
30      130.8098
↘1.724, 1.34%
31      130.8098
→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(“2003-05-01”),130.739,130.74],[new Date(“2003-05-02”),129.952,129.95],[new Date(“2003-05-03”),129.952,129.95],[new Date(“2003-05-04”),129.952,129.95],[new Date(“2003-05-05”),129.851,129.85],[new Date(“2003-05-06”),129.922,129.92],[new Date(“2003-05-07”),132.734,132.73],[new Date(“2003-05-08”),133.251,133.25],[new Date(“2003-05-09”),131.860,131.86],[new Date(“2003-05-10”),131.860,131.86],[new Date(“2003-05-11”),131.860,131.86],[new Date(“2003-05-12”),130.746,130.75],[new Date(“2003-05-13”),128.948,128.95],[new Date(“2003-05-14”),131.914,131.91],[new Date(“2003-05-15”),129.320,129.32],[new Date(“2003-05-16”),132.480,132.48],[new Date(“2003-05-17”),132.480,132.48],[new Date(“2003-05-18”),132.480,132.48],[new Date(“2003-05-19”),128.919,128.92],[new Date(“2003-05-20”),128.641,128.64],[new Date(“2003-05-21”),129.422,129.42],[new Date(“2003-05-22”),128.810,128.81],[new Date(“2003-05-23”),128.537,128.54],[new Date(“2003-05-24”),128.537,128.54],[new Date(“2003-05-25”),128.537,128.54],[new Date(“2003-05-26”),128.378,128.38],[new Date(“2003-05-27”),127.310,127.31],[new Date(“2003-05-28”),128.644,128.64],[new Date(“2003-05-29”),129.085,129.09],[new Date(“2003-05-30”),130.810,130.81],[new Date(“2003-05-31″),130.810,130.81],]);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, 2003

01      130.6170
02      131.3527
↘0.736, 0.56%
03      132.9238
↘1.571, 1.20%
04      132.7006
↗0.223, 0.17%
05      132.7006
→0.000, 0.00%
06      132.7006
→0.000, 0.00%
07      134.4311
↘1.731, 1.30%
08      130.5470
↗3.884, 2.89%
09      132.1604
↘1.613, 1.24%
10      130.2801
↗1.880, 1.42%
11      131.5276
↘1.247, 0.96%
12      131.5276
→0.000, 0.00%
13      131.5276
→0.000, 0.00%
14      131.5031
↗0.025, 0.02%
15      130.3856
↗1.117, 0.85%
16      130.5134
↘0.128, 0.10%
17      130.9383
↘0.425, 0.33%
18      130.9383
→0.000, 0.00%
19      130.9383
→0.000, 0.00%
20      130.9383
→0.000, 0.00%
21      130.9383
→0.000, 0.00%
22      129.8239
↗1.114, 0.85%
23      129.1757
↗0.648, 0.50%
24      128.4084
↗0.767, 0.59%
25      128.8176
↘0.409, 0.32%
26      128.8176
→0.000, 0.00%
27      128.8176
→0.000, 0.00%
28      128.5285
↗0.289, 0.22%
29      128.7283
↘0.200, 0.16%
30      130.7394
↘2.011, 1.56%
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(“2003-04-01”),130.617,130.62],[new Date(“2003-04-02”),131.353,131.35],[new Date(“2003-04-03”),132.924,132.92],[new Date(“2003-04-04”),132.701,132.70],[new Date(“2003-04-05”),132.701,132.70],[new Date(“2003-04-06”),132.701,132.70],[new Date(“2003-04-07”),134.431,134.43],[new Date(“2003-04-08”),130.547,130.55],[new Date(“2003-04-09”),132.160,132.16],[new Date(“2003-04-10”),130.280,130.28],[new Date(“2003-04-11”),131.528,131.53],[new Date(“2003-04-12”),131.528,131.53],[new Date(“2003-04-13”),131.528,131.53],[new Date(“2003-04-14”),131.503,131.50],[new Date(“2003-04-15”),130.386,130.39],[new Date(“2003-04-16”),130.513,130.51],[new Date(“2003-04-17”),130.938,130.94],[new Date(“2003-04-18”),130.938,130.94],[new Date(“2003-04-19”),130.938,130.94],[new Date(“2003-04-20”),130.938,130.94],[new Date(“2003-04-21”),130.938,130.94],[new Date(“2003-04-22”),129.824,129.82],[new Date(“2003-04-23”),129.176,129.18],[new Date(“2003-04-24”),128.408,128.41],[new Date(“2003-04-25”),128.818,128.82],[new Date(“2003-04-26”),128.818,128.82],[new Date(“2003-04-27”),128.818,128.82],[new Date(“2003-04-28”),128.529,128.53],[new Date(“2003-04-29”),128.728,128.73],[new Date(“2003-04-30″),130.739,130.74],]);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, 2003

01      128.3417
02      128.3417
→0.000, 0.00%
03      128.1278
↗0.214, 0.17%
04      126.7314
↗1.396, 1.09%
05      126.1882
↗0.543, 0.43%
06      126.2227
↘0.035, 0.03%
07      125.3537
↗0.869, 0.69%
08      125.3537
→0.000, 0.00%
09      125.3537
→0.000, 0.00%
10      129.6939
↘4.340, 3.46%
11      128.3890
↗1.305, 1.01%
12      128.9944
↘0.605, 0.47%
13      130.9416
↘1.947, 1.51%
14      132.0232
↘1.082, 0.83%
15      132.0232
→0.000, 0.00%
16      132.0232
→0.000, 0.00%
17      131.7054
↗0.318, 0.24%
18      134.3803
↘2.675, 2.03%
19      134.5837
↘0.203, 0.15%
20      134.3042
↗0.280, 0.21%
21      134.5583
↘0.254, 0.19%
22      134.5583
→0.000, 0.00%
23      134.5583
→0.000, 0.00%
24      133.7737
↗0.785, 0.58%
25      133.0605
↗0.713, 0.53%
26      133.3599
↘0.299, 0.22%
27      132.6634
↗0.696, 0.52%
28      132.5769
↗0.087, 0.07%
29      132.5769
→0.000, 0.00%
30      132.5769
→0.000, 0.00%
31      130.5691
↗2.008, 1.51%
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(“2003-03-01”),128.342,128.34],[new Date(“2003-03-02”),128.342,128.34],[new Date(“2003-03-03”),128.128,128.13],[new Date(“2003-03-04”),126.731,126.73],[new Date(“2003-03-05”),126.188,126.19],[new Date(“2003-03-06”),126.223,126.22],[new Date(“2003-03-07”),125.354,125.35],[new Date(“2003-03-08”),125.354,125.35],[new Date(“2003-03-09”),125.354,125.35],[new Date(“2003-03-10”),129.694,129.69],[new Date(“2003-03-11”),128.389,128.39],[new Date(“2003-03-12”),128.994,128.99],[new Date(“2003-03-13”),130.942,130.94],[new Date(“2003-03-14”),132.023,132.02],[new Date(“2003-03-15”),132.023,132.02],[new Date(“2003-03-16”),132.023,132.02],[new Date(“2003-03-17”),131.705,131.71],[new Date(“2003-03-18”),134.380,134.38],[new Date(“2003-03-19”),134.584,134.58],[new Date(“2003-03-20”),134.304,134.30],[new Date(“2003-03-21”),134.558,134.56],[new Date(“2003-03-22”),134.558,134.56],[new Date(“2003-03-23”),134.558,134.56],[new Date(“2003-03-24”),133.774,133.77],[new Date(“2003-03-25”),133.061,133.06],[new Date(“2003-03-26”),133.360,133.36],[new Date(“2003-03-27”),132.663,132.66],[new Date(“2003-03-28”),132.577,132.58],[new Date(“2003-03-29”),132.577,132.58],[new Date(“2003-03-30”),132.577,132.58],[new Date(“2003-03-31″),130.569,130.57],]);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, 2003

01      128.0085
02      128.0085
→0.000, 0.00%
03      128.0371
↘0.029, 0.02%
04      127.6668
↗0.370, 0.29%
05      127.8781
↘0.211, 0.17%
06      128.0403
↘0.162, 0.13%
07      128.2584
↘0.218, 0.17%
08      128.2584
→0.000, 0.00%
09      128.2584
→0.000, 0.00%
10      128.0329
↗0.225, 0.18%
11      129.2528
↘1.220, 0.95%
12      128.9516
↗0.301, 0.23%
13      128.6280
↗0.324, 0.25%
14      128.2109
↗0.417, 0.32%
15      128.2109
→0.000, 0.00%
16      128.2109
→0.000, 0.00%
17      129.1321
↘0.921, 0.72%
18      129.1562
↘0.024, 0.02%
19      129.1201
↗0.036, 0.03%
20      128.5682
↗0.552, 0.43%
21      127.6785
↗0.890, 0.69%
22      127.6785
→0.000, 0.00%
23      127.6785
→0.000, 0.00%
24      129.0719
↘1.393, 1.09%
25      128.4370
↗0.635, 0.49%
26      128.6878
↘0.251, 0.20%
27      127.8673
↗0.821, 0.64%
28      128.3417
↘0.474, 0.37%
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(“2003-02-01”),128.009,128.01],[new Date(“2003-02-02”),128.009,128.01],[new Date(“2003-02-03”),128.037,128.04],[new Date(“2003-02-04”),127.667,127.67],[new Date(“2003-02-05”),127.878,127.88],[new Date(“2003-02-06”),128.040,128.04],[new Date(“2003-02-07”),128.258,128.26],[new Date(“2003-02-08”),128.258,128.26],[new Date(“2003-02-09”),128.258,128.26],[new Date(“2003-02-10”),128.033,128.03],[new Date(“2003-02-11”),129.253,129.25],[new Date(“2003-02-12”),128.952,128.95],[new Date(“2003-02-13”),128.628,128.63],[new Date(“2003-02-14”),128.211,128.21],[new Date(“2003-02-15”),128.211,128.21],[new Date(“2003-02-16”),128.211,128.21],[new Date(“2003-02-17”),129.132,129.13],[new Date(“2003-02-18”),129.156,129.16],[new Date(“2003-02-19”),129.120,129.12],[new Date(“2003-02-20”),128.568,128.57],[new Date(“2003-02-21”),127.679,127.68],[new Date(“2003-02-22”),127.679,127.68],[new Date(“2003-02-23”),127.679,127.68],[new Date(“2003-02-24”),129.072,129.07],[new Date(“2003-02-25”),128.437,128.44],[new Date(“2003-02-26”),128.688,128.69],[new Date(“2003-02-27”),127.867,127.87],[new Date(“2003-02-28″),128.342,128.34],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2003

01      124.7611
02      131.2924
↘6.531, 5.23%
03      131.9746
↘0.682, 0.52%
04      131.9746
→0.000, 0.00%
05      131.9746
→0.000, 0.00%
06      130.0563
↗1.918, 1.45%
07      130.1679
↘0.112, 0.09%
08      130.7700
↘0.602, 0.46%
09      129.1520
↗1.618, 1.24%
10      129.2012
↘0.049, 0.04%
11      129.2012
→0.000, 0.00%
12      129.2012
→0.000, 0.00%
13      128.4103
↗0.791, 0.61%
14      128.7123
↘0.302, 0.24%
15      129.3359
↘0.624, 0.48%
16      125.9930
↗3.343, 2.58%
17      129.1560
↘3.163, 2.51%
18      129.1560
→0.000, 0.00%
19      129.1560
→0.000, 0.00%
20      129.1927
↘0.037, 0.03%
21      129.2171
↘0.024, 0.02%
22      128.7498
↗0.467, 0.36%
23      129.0425
↘0.293, 0.23%
24      128.9902
↗0.052, 0.04%
25      128.9902
→0.000, 0.00%
26      128.9902
→0.000, 0.00%
27      128.2778
↗0.712, 0.55%
28      128.9850
↘0.707, 0.55%
29      128.8029
↗0.182, 0.14%
30      127.9475
↗0.855, 0.66%
31      128.0085
↘0.061, 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”);
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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_1’));
chart.draw(data, options);
}