Nigerian Naira NGN 2004 Conversion Rates

  • Opening Value is 139.553716 NGN per Dollar
  • Closing Value is 132.518274 NGN per Dollar
  • Change in Value during 2004 is -7.0354 which is -5.04%
  • Best Performance is on 2004-04-13 with 129.989359 NGN per Dollar
  • Lowest Performance is on 2004-01-19 with 143.098094 NGN per Dollar
  • Average Value is 134.4641 NGN per Dollar
  • Swing Between the higest and the lowest is 13.1087 per Dollar, that is 9.39% compared to the opening value.

USD to NGN Conversion Rates – 12 months

Date 1 USD =
2004-12-31 132.5183 NGN
2004-11-30 132.8848 NGN
2004-10-31 132.9877 NGN
2004-09-30 133.3630 NGN
2004-08-31 133.1937 NGN
2004-07-31 132.5497 NGN
2004-06-30 132.9937 NGN
2004-05-31 133.4845 NGN
2004-04-30 134.0656 NGN
2004-03-31 133.6261 NGN
2004-02-29 135.9987 NGN
2004-01-31 139.4009 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(“2004-12-31”),132.518,132.52],[new Date(“2004-11-30”),132.885,132.88],[new Date(“2004-10-31”),132.988,132.99],[new Date(“2004-09-30”),133.363,133.36],[new Date(“2004-08-31”),133.194,133.19],[new Date(“2004-07-31”),132.550,132.55],[new Date(“2004-06-30”),132.994,132.99],[new Date(“2004-05-31”),133.485,133.48],[new Date(“2004-04-30”),134.066,134.07],[new Date(“2004-03-31”),133.626,133.63],[new Date(“2004-02-29”),135.999,136.00],[new Date(“2004-01-31”),139.401,139.40],]);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, 2004

01      132.8336
02      132.7700
↗0.064, 0.05%
03      132.7867
↘0.017, 0.01%
04      132.7867
→0.000, 0.00%
05      132.7867
→0.000, 0.00%
06      133.0317
↘0.245, 0.18%
07      132.5465
↗0.485, 0.36%
08      132.3083
↗0.238, 0.18%
09      131.4466
↗0.862, 0.65%
10      132.1892
↘0.743, 0.56%
11      132.1892
→0.000, 0.00%
12      132.1892
→0.000, 0.00%
13      132.9688
↘0.780, 0.59%
14      133.0957
↘0.127, 0.10%
15      133.0212
↗0.075, 0.06%
16      132.2118
↗0.809, 0.61%
17      133.0641
↘0.852, 0.64%
18      133.0641
→0.000, 0.00%
19      133.0641
→0.000, 0.00%
20      133.0316
↗0.033, 0.02%
21      132.4891
↗0.542, 0.41%
22      132.5607
↘0.072, 0.05%
23      132.5737
↘0.013, 0.01%
24      132.3027
↗0.271, 0.20%
25      132.3027
→0.000, 0.00%
26      132.3027
→0.000, 0.00%
27      133.3669
↘1.064, 0.80%
28      133.2516
↗0.115, 0.09%
29      133.2608
↘0.009, 0.01%
30      132.6677
↗0.593, 0.45%
31      132.5183
↗0.149, 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(“2004-12-01”),132.834,132.83],[new Date(“2004-12-02”),132.770,132.77],[new Date(“2004-12-03”),132.787,132.79],[new Date(“2004-12-04”),132.787,132.79],[new Date(“2004-12-05”),132.787,132.79],[new Date(“2004-12-06”),133.032,133.03],[new Date(“2004-12-07”),132.546,132.55],[new Date(“2004-12-08”),132.308,132.31],[new Date(“2004-12-09”),131.447,131.45],[new Date(“2004-12-10”),132.189,132.19],[new Date(“2004-12-11”),132.189,132.19],[new Date(“2004-12-12”),132.189,132.19],[new Date(“2004-12-13”),132.969,132.97],[new Date(“2004-12-14”),133.096,133.10],[new Date(“2004-12-15”),133.021,133.02],[new Date(“2004-12-16”),132.212,132.21],[new Date(“2004-12-17”),133.064,133.06],[new Date(“2004-12-18”),133.064,133.06],[new Date(“2004-12-19”),133.064,133.06],[new Date(“2004-12-20”),133.032,133.03],[new Date(“2004-12-21”),132.489,132.49],[new Date(“2004-12-22”),132.561,132.56],[new Date(“2004-12-23”),132.574,132.57],[new Date(“2004-12-24”),132.303,132.30],[new Date(“2004-12-25”),132.303,132.30],[new Date(“2004-12-26”),132.303,132.30],[new Date(“2004-12-27”),133.367,133.37],[new Date(“2004-12-28”),133.252,133.25],[new Date(“2004-12-29”),133.261,133.26],[new Date(“2004-12-30”),132.668,132.67],[new Date(“2004-12-31″),132.518,132.52],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2004

01      133.0864
02      133.1385
↘0.052, 0.04%
03      132.9859
↗0.153, 0.11%
04      133.0053
↘0.019, 0.01%
05      133.0762
↘0.071, 0.05%
06      133.0762
→0.000, 0.00%
07      133.0762
→0.000, 0.00%
08      133.0830
↘0.007, 0.01%
09      133.0075
↗0.075, 0.06%
10      132.7297
↗0.278, 0.21%
11      132.9598
↘0.230, 0.17%
12      133.0372
↘0.077, 0.06%
13      133.0372
→0.000, 0.00%
14      133.0372
→0.000, 0.00%
15      133.0285
↗0.009, 0.01%
16      132.9501
↗0.078, 0.06%
17      133.0670
↘0.117, 0.09%
18      132.9923
↗0.075, 0.06%
19      132.9954
↘0.003, 0.00%
20      132.9954
→0.000, 0.00%
21      132.9954
→0.000, 0.00%
22      132.5306
↗0.465, 0.35%
23      132.9867
↘0.456, 0.34%
24      132.8267
↗0.160, 0.12%
25      132.9441
↘0.117, 0.09%
26      132.9380
↗0.006, 0.00%
27      132.9380
→0.000, 0.00%
28      132.9380
→0.000, 0.00%
29      132.9547
↘0.017, 0.01%
30      132.8848
↗0.070, 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(“2004-11-01”),133.086,133.09],[new Date(“2004-11-02”),133.138,133.14],[new Date(“2004-11-03”),132.986,132.99],[new Date(“2004-11-04”),133.005,133.01],[new Date(“2004-11-05”),133.076,133.08],[new Date(“2004-11-06”),133.076,133.08],[new Date(“2004-11-07”),133.076,133.08],[new Date(“2004-11-08”),133.083,133.08],[new Date(“2004-11-09”),133.008,133.01],[new Date(“2004-11-10”),132.730,132.73],[new Date(“2004-11-11”),132.960,132.96],[new Date(“2004-11-12”),133.037,133.04],[new Date(“2004-11-13”),133.037,133.04],[new Date(“2004-11-14”),133.037,133.04],[new Date(“2004-11-15”),133.029,133.03],[new Date(“2004-11-16”),132.950,132.95],[new Date(“2004-11-17”),133.067,133.07],[new Date(“2004-11-18”),132.992,132.99],[new Date(“2004-11-19”),132.995,133.00],[new Date(“2004-11-20”),132.995,133.00],[new Date(“2004-11-21”),132.995,133.00],[new Date(“2004-11-22”),132.531,132.53],[new Date(“2004-11-23”),132.987,132.99],[new Date(“2004-11-24”),132.827,132.83],[new Date(“2004-11-25”),132.944,132.94],[new Date(“2004-11-26”),132.938,132.94],[new Date(“2004-11-27”),132.938,132.94],[new Date(“2004-11-28”),132.938,132.94],[new Date(“2004-11-29”),132.955,132.95],[new Date(“2004-11-30″),132.885,132.88],]);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, 2004

01      133.4739
02      133.4739
→0.000, 0.00%
03      133.4739
→0.000, 0.00%
04      134.5293
↘1.055, 0.79%
05      133.3657
↗1.164, 0.86%
06      134.4043
↘1.039, 0.78%
07      132.3388
↗2.066, 1.54%
08      133.3749
↘1.036, 0.78%
09      133.3749
→0.000, 0.00%
10      133.3749
→0.000, 0.00%
11      132.6883
↗0.687, 0.51%
12      133.3685
↘0.680, 0.51%
13      133.4083
↘0.040, 0.03%
14      132.6962
↗0.712, 0.53%
15      133.4386
↘0.742, 0.56%
16      133.4386
→0.000, 0.00%
17      133.4386
→0.000, 0.00%
18      132.7635
↗0.675, 0.51%
19      133.6812
↘0.918, 0.69%
20      133.4967
↗0.185, 0.14%
21      133.3234
↗0.173, 0.13%
22      133.0498
↗0.274, 0.21%
23      133.0498
→0.000, 0.00%
24      133.0498
→0.000, 0.00%
25      133.0926
↘0.043, 0.03%
26      133.2141
↘0.122, 0.09%
27      133.4083
↘0.194, 0.15%
28      133.4509
↘0.043, 0.03%
29      132.9877
↗0.463, 0.35%
30      132.9877
→0.000, 0.00%
31      132.9877
→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(“2004-10-01”),133.474,133.47],[new Date(“2004-10-02”),133.474,133.47],[new Date(“2004-10-03”),133.474,133.47],[new Date(“2004-10-04”),134.529,134.53],[new Date(“2004-10-05”),133.366,133.37],[new Date(“2004-10-06”),134.404,134.40],[new Date(“2004-10-07”),132.339,132.34],[new Date(“2004-10-08”),133.375,133.37],[new Date(“2004-10-09”),133.375,133.37],[new Date(“2004-10-10”),133.375,133.37],[new Date(“2004-10-11”),132.688,132.69],[new Date(“2004-10-12”),133.368,133.37],[new Date(“2004-10-13”),133.408,133.41],[new Date(“2004-10-14”),132.696,132.70],[new Date(“2004-10-15”),133.439,133.44],[new Date(“2004-10-16”),133.439,133.44],[new Date(“2004-10-17”),133.439,133.44],[new Date(“2004-10-18”),132.763,132.76],[new Date(“2004-10-19”),133.681,133.68],[new Date(“2004-10-20”),133.497,133.50],[new Date(“2004-10-21”),133.323,133.32],[new Date(“2004-10-22”),133.050,133.05],[new Date(“2004-10-23”),133.050,133.05],[new Date(“2004-10-24”),133.050,133.05],[new Date(“2004-10-25”),133.093,133.09],[new Date(“2004-10-26”),133.214,133.21],[new Date(“2004-10-27”),133.408,133.41],[new Date(“2004-10-28”),133.451,133.45],[new Date(“2004-10-29”),132.988,132.99],[new Date(“2004-10-30”),132.988,132.99],[new Date(“2004-10-31″),132.988,132.99],]);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, 2004

01      133.2149
02      132.8697
↗0.345, 0.26%
03      132.4998
↗0.370, 0.28%
04      132.4998
→0.000, 0.00%
05      132.4998
→0.000, 0.00%
06      132.9846
↘0.485, 0.37%
07      132.9644
↗0.020, 0.02%
08      133.1791
↘0.215, 0.16%
09      131.6912
↗1.488, 1.12%
10      133.3911
↘1.700, 1.29%
11      133.3911
→0.000, 0.00%
12      133.3911
→0.000, 0.00%
13      133.5175
↘0.126, 0.09%
14      133.5451
↘0.028, 0.02%
15      133.2017
↗0.343, 0.26%
16      133.8994
↘0.698, 0.52%
17      133.9229
↘0.024, 0.02%
18      133.9229
→0.000, 0.00%
19      133.9229
→0.000, 0.00%
20      133.1415
↗0.781, 0.58%
21      133.0475
↗0.094, 0.07%
22      133.1927
↘0.145, 0.11%
23      133.1817
↗0.011, 0.01%
24      133.3138
↘0.132, 0.10%
25      133.3138
→0.000, 0.00%
26      133.3138
→0.000, 0.00%
27      133.8065
↘0.493, 0.37%
28      134.3484
↘0.542, 0.41%
29      134.2364
↗0.112, 0.08%
30      133.3630
↗0.873, 0.65%
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(“2004-09-01”),133.215,133.21],[new Date(“2004-09-02”),132.870,132.87],[new Date(“2004-09-03”),132.500,132.50],[new Date(“2004-09-04”),132.500,132.50],[new Date(“2004-09-05”),132.500,132.50],[new Date(“2004-09-06”),132.985,132.98],[new Date(“2004-09-07”),132.964,132.96],[new Date(“2004-09-08”),133.179,133.18],[new Date(“2004-09-09”),131.691,131.69],[new Date(“2004-09-10”),133.391,133.39],[new Date(“2004-09-11”),133.391,133.39],[new Date(“2004-09-12”),133.391,133.39],[new Date(“2004-09-13”),133.518,133.52],[new Date(“2004-09-14”),133.545,133.55],[new Date(“2004-09-15”),133.202,133.20],[new Date(“2004-09-16”),133.899,133.90],[new Date(“2004-09-17”),133.923,133.92],[new Date(“2004-09-18”),133.923,133.92],[new Date(“2004-09-19”),133.923,133.92],[new Date(“2004-09-20”),133.141,133.14],[new Date(“2004-09-21”),133.047,133.05],[new Date(“2004-09-22”),133.193,133.19],[new Date(“2004-09-23”),133.182,133.18],[new Date(“2004-09-24”),133.314,133.31],[new Date(“2004-09-25”),133.314,133.31],[new Date(“2004-09-26”),133.314,133.31],[new Date(“2004-09-27”),133.806,133.81],[new Date(“2004-09-28”),134.348,134.35],[new Date(“2004-09-29”),134.236,134.24],[new Date(“2004-09-30″),133.363,133.36],]);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, 2004

01      132.5497
02      132.2338
↗0.316, 0.24%
03      132.9187
↘0.685, 0.52%
04      132.9816
↘0.063, 0.05%
05      132.4929
↗0.489, 0.37%
06      132.5818
↘0.089, 0.07%
07      132.5818
→0.000, 0.00%
08      132.5818
→0.000, 0.00%
09      130.3734
↗2.208, 1.67%
10      130.0827
↗0.291, 0.22%
11      130.6481
↘0.565, 0.43%
12      130.2869
↗0.361, 0.28%
13      130.9545
↘0.668, 0.51%
14      130.9545
→0.000, 0.00%
15      130.9545
→0.000, 0.00%
16      132.5912
↘1.637, 1.25%
17      132.5227
↗0.069, 0.05%
18      132.7586
↘0.236, 0.18%
19      132.7916
↘0.033, 0.02%
20      132.2283
↗0.563, 0.42%
21      132.2283
→0.000, 0.00%
22      132.2283
→0.000, 0.00%
23      130.0444
↗2.184, 1.65%
24      131.7468
↘1.702, 1.31%
25      132.7128
↘0.966, 0.73%
26      132.9205
↘0.208, 0.16%
27      132.6668
↗0.254, 0.19%
28      132.6668
→0.000, 0.00%
29      132.6668
→0.000, 0.00%
30      133.1674
↘0.501, 0.38%
31      133.1937
↘0.026, 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(“2004-08-01”),132.550,132.55],[new Date(“2004-08-02”),132.234,132.23],[new Date(“2004-08-03”),132.919,132.92],[new Date(“2004-08-04”),132.982,132.98],[new Date(“2004-08-05”),132.493,132.49],[new Date(“2004-08-06”),132.582,132.58],[new Date(“2004-08-07”),132.582,132.58],[new Date(“2004-08-08”),132.582,132.58],[new Date(“2004-08-09”),130.373,130.37],[new Date(“2004-08-10”),130.083,130.08],[new Date(“2004-08-11”),130.648,130.65],[new Date(“2004-08-12”),130.287,130.29],[new Date(“2004-08-13”),130.955,130.95],[new Date(“2004-08-14”),130.955,130.95],[new Date(“2004-08-15”),130.955,130.95],[new Date(“2004-08-16”),132.591,132.59],[new Date(“2004-08-17”),132.523,132.52],[new Date(“2004-08-18”),132.759,132.76],[new Date(“2004-08-19”),132.792,132.79],[new Date(“2004-08-20”),132.228,132.23],[new Date(“2004-08-21”),132.228,132.23],[new Date(“2004-08-22”),132.228,132.23],[new Date(“2004-08-23”),130.044,130.04],[new Date(“2004-08-24”),131.747,131.75],[new Date(“2004-08-25”),132.713,132.71],[new Date(“2004-08-26”),132.921,132.92],[new Date(“2004-08-27”),132.667,132.67],[new Date(“2004-08-28”),132.667,132.67],[new Date(“2004-08-29”),132.667,132.67],[new Date(“2004-08-30”),133.167,133.17],[new Date(“2004-08-31″),133.194,133.19],]);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, 2004

01      132.8457
02      133.1172
↘0.271, 0.20%
03      133.1172
→0.000, 0.00%
04      133.1172
→0.000, 0.00%
05      132.8225
↗0.295, 0.22%
06      131.8586
↗0.964, 0.73%
07      131.3464
↗0.512, 0.39%
08      131.4421
↘0.096, 0.07%
09      131.1872
↗0.255, 0.19%
10      131.1872
→0.000, 0.00%
11      131.1872
→0.000, 0.00%
12      130.9226
↗0.265, 0.20%
13      131.1872
↘0.265, 0.20%
14      131.0918
↗0.095, 0.07%
15      131.1660
↘0.074, 0.06%
16      131.3889
↘0.223, 0.17%
17      131.3889
→0.000, 0.00%
18      131.3889
→0.000, 0.00%
19      130.6127
↗0.776, 0.59%
20      130.6217
↘0.009, 0.01%
21      131.8344
↘1.213, 0.93%
22      132.1551
↘0.321, 0.24%
23      133.1472
↘0.992, 0.75%
24      133.1472
→0.000, 0.00%
25      133.1472
→0.000, 0.00%
26      132.7615
↗0.386, 0.29%
27      133.1516
↘0.390, 0.29%
28      134.8027
↘1.651, 1.24%
29      134.6754
↗0.127, 0.09%
30      132.5497
↗2.126, 1.58%
31      132.5497
→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(“2004-07-01”),132.846,132.85],[new Date(“2004-07-02”),133.117,133.12],[new Date(“2004-07-03”),133.117,133.12],[new Date(“2004-07-04”),133.117,133.12],[new Date(“2004-07-05”),132.822,132.82],[new Date(“2004-07-06”),131.859,131.86],[new Date(“2004-07-07”),131.346,131.35],[new Date(“2004-07-08”),131.442,131.44],[new Date(“2004-07-09”),131.187,131.19],[new Date(“2004-07-10”),131.187,131.19],[new Date(“2004-07-11”),131.187,131.19],[new Date(“2004-07-12”),130.923,130.92],[new Date(“2004-07-13”),131.187,131.19],[new Date(“2004-07-14”),131.092,131.09],[new Date(“2004-07-15”),131.166,131.17],[new Date(“2004-07-16”),131.389,131.39],[new Date(“2004-07-17”),131.389,131.39],[new Date(“2004-07-18”),131.389,131.39],[new Date(“2004-07-19”),130.613,130.61],[new Date(“2004-07-20”),130.622,130.62],[new Date(“2004-07-21”),131.834,131.83],[new Date(“2004-07-22”),132.155,132.16],[new Date(“2004-07-23”),133.147,133.15],[new Date(“2004-07-24”),133.147,133.15],[new Date(“2004-07-25”),133.147,133.15],[new Date(“2004-07-26”),132.762,132.76],[new Date(“2004-07-27”),133.152,133.15],[new Date(“2004-07-28”),134.803,134.80],[new Date(“2004-07-29”),134.675,134.68],[new Date(“2004-07-30”),132.550,132.55],[new Date(“2004-07-31″),132.550,132.55],]);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_7’));
chart.draw(data, options);
}

June, 2004

01      133.1011
02      132.6848
↗0.416, 0.31%
03      133.3979
↘0.713, 0.54%
04      133.5091
↘0.111, 0.08%
05      133.5091
→0.000, 0.00%
06      133.5091
→0.000, 0.00%
07      132.2478
↗1.261, 0.94%
08      132.2584
↘0.011, 0.01%
09      133.7845
↘1.526, 1.15%
10      133.7845
→0.000, 0.00%
11      135.8787
↘2.094, 1.57%
12      135.8787
→0.000, 0.00%
13      135.8787
→0.000, 0.00%
14      135.6913
↗0.187, 0.14%
15      135.4212
↗0.270, 0.20%
16      135.2047
↗0.217, 0.16%
17      135.2169
↘0.012, 0.01%
18      132.0011
↗3.216, 2.38%
19      132.0011
→0.000, 0.00%
20      132.0011
→0.000, 0.00%
21      134.8718
↘2.871, 2.17%
22      134.9716
↘0.100, 0.07%
23      135.0084
↘0.037, 0.03%
24      134.7598
↗0.249, 0.18%
25      132.0171
↗2.743, 2.04%
26      132.0171
→0.000, 0.00%
27      132.0171
→0.000, 0.00%
28      133.0058
↘0.989, 0.75%
29      134.2811
↘1.275, 0.96%
30      132.9937
↗1.287, 0.96%
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(“2004-06-01”),133.101,133.10],[new Date(“2004-06-02”),132.685,132.68],[new Date(“2004-06-03”),133.398,133.40],[new Date(“2004-06-04”),133.509,133.51],[new Date(“2004-06-05”),133.509,133.51],[new Date(“2004-06-06”),133.509,133.51],[new Date(“2004-06-07”),132.248,132.25],[new Date(“2004-06-08”),132.258,132.26],[new Date(“2004-06-09”),133.784,133.78],[new Date(“2004-06-10”),133.784,133.78],[new Date(“2004-06-11”),135.879,135.88],[new Date(“2004-06-12”),135.879,135.88],[new Date(“2004-06-13”),135.879,135.88],[new Date(“2004-06-14”),135.691,135.69],[new Date(“2004-06-15”),135.421,135.42],[new Date(“2004-06-16”),135.205,135.20],[new Date(“2004-06-17”),135.217,135.22],[new Date(“2004-06-18”),132.001,132.00],[new Date(“2004-06-19”),132.001,132.00],[new Date(“2004-06-20”),132.001,132.00],[new Date(“2004-06-21”),134.872,134.87],[new Date(“2004-06-22”),134.972,134.97],[new Date(“2004-06-23”),135.008,135.01],[new Date(“2004-06-24”),134.760,134.76],[new Date(“2004-06-25”),132.017,132.02],[new Date(“2004-06-26”),132.017,132.02],[new Date(“2004-06-27”),132.017,132.02],[new Date(“2004-06-28”),133.006,133.01],[new Date(“2004-06-29”),134.281,134.28],[new Date(“2004-06-30″),132.994,132.99],]);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, 2004

01      134.0656
02      134.0656
→0.000, 0.00%
03      134.1412
↘0.076, 0.06%
04      133.1301
↗1.011, 0.75%
05      132.1593
↗0.971, 0.73%
06      132.2061
↘0.047, 0.04%
07      133.0887
↘0.883, 0.67%
08      133.0887
→0.000, 0.00%
09      133.0887
→0.000, 0.00%
10      135.7754
↘2.687, 2.02%
11      135.8872
↘0.112, 0.08%
12      135.4631
↗0.424, 0.31%
13      135.6688
↘0.206, 0.15%
14      133.0086
↗2.660, 1.96%
15      133.0086
→0.000, 0.00%
16      133.0086
→0.000, 0.00%
17      132.9872
↗0.021, 0.02%
18      134.0435
↘1.056, 0.79%
19      132.9932
↗1.050, 0.78%
20      134.5736
↘1.580, 1.19%
21      133.3107
↗1.263, 0.94%
22      133.3107
→0.000, 0.00%
23      133.3107
→0.000, 0.00%
24      134.3676
↘1.057, 0.79%
25      133.0629
↗1.305, 0.97%
26      132.6462
↗0.417, 0.31%
27      132.1397
↗0.506, 0.38%
28      131.1926
↗0.947, 0.72%
29      131.1926
→0.000, 0.00%
30      131.1926
→0.000, 0.00%
31      133.4845
↘2.292, 1.75%
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(“2004-05-01”),134.066,134.07],[new Date(“2004-05-02”),134.066,134.07],[new Date(“2004-05-03”),134.141,134.14],[new Date(“2004-05-04”),133.130,133.13],[new Date(“2004-05-05”),132.159,132.16],[new Date(“2004-05-06”),132.206,132.21],[new Date(“2004-05-07”),133.089,133.09],[new Date(“2004-05-08”),133.089,133.09],[new Date(“2004-05-09”),133.089,133.09],[new Date(“2004-05-10”),135.775,135.78],[new Date(“2004-05-11”),135.887,135.89],[new Date(“2004-05-12”),135.463,135.46],[new Date(“2004-05-13”),135.669,135.67],[new Date(“2004-05-14”),133.009,133.01],[new Date(“2004-05-15”),133.009,133.01],[new Date(“2004-05-16”),133.009,133.01],[new Date(“2004-05-17”),132.987,132.99],[new Date(“2004-05-18”),134.043,134.04],[new Date(“2004-05-19”),132.993,132.99],[new Date(“2004-05-20”),134.574,134.57],[new Date(“2004-05-21”),133.311,133.31],[new Date(“2004-05-22”),133.311,133.31],[new Date(“2004-05-23”),133.311,133.31],[new Date(“2004-05-24”),134.368,134.37],[new Date(“2004-05-25”),133.063,133.06],[new Date(“2004-05-26”),132.646,132.65],[new Date(“2004-05-27”),132.140,132.14],[new Date(“2004-05-28”),131.193,131.19],[new Date(“2004-05-29”),131.193,131.19],[new Date(“2004-05-30”),131.193,131.19],[new Date(“2004-05-31″),133.485,133.48],]);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_5’));
chart.draw(data, options);
}

April, 2004

01      132.0140
02      131.9956
↗0.018, 0.01%
03      131.9956
→0.000, 0.00%
04      131.9956
→0.000, 0.00%
05      135.1287
↘3.133, 2.37%
06      135.0773
↗0.051, 0.04%
07      135.3361
↘0.259, 0.19%
08      134.5828
↗0.753, 0.56%
09      134.5828
→0.000, 0.00%
10      134.5828
→0.000, 0.00%
11      134.5828
→0.000, 0.00%
12      134.5828
→0.000, 0.00%
13      129.9894
↗4.593, 3.41%
14      137.2946
↘7.305, 5.62%
15      137.2621
↗0.033, 0.02%
16      136.8755
↗0.387, 0.28%
17      136.8755
→0.000, 0.00%
18      136.8755
→0.000, 0.00%
19      135.6557
↗1.220, 0.89%
20      137.2483
↘1.593, 1.17%
21      138.3021
↘1.054, 0.77%
22      137.7404
↗0.562, 0.41%
23      137.5125
↗0.228, 0.17%
24      137.5125
→0.000, 0.00%
25      137.5125
→0.000, 0.00%
26      138.0974
↘0.585, 0.43%
27      133.0147
↗5.083, 3.68%
28      137.4733
↘4.459, 3.35%
29      132.9999
↗4.473, 3.25%
30      134.0656
↘1.066, 0.80%
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(“2004-04-01”),132.014,132.01],[new Date(“2004-04-02”),131.996,132.00],[new Date(“2004-04-03”),131.996,132.00],[new Date(“2004-04-04”),131.996,132.00],[new Date(“2004-04-05”),135.129,135.13],[new Date(“2004-04-06”),135.077,135.08],[new Date(“2004-04-07”),135.336,135.34],[new Date(“2004-04-08”),134.583,134.58],[new Date(“2004-04-09”),134.583,134.58],[new Date(“2004-04-10”),134.583,134.58],[new Date(“2004-04-11”),134.583,134.58],[new Date(“2004-04-12”),134.583,134.58],[new Date(“2004-04-13”),129.989,129.99],[new Date(“2004-04-14”),137.295,137.29],[new Date(“2004-04-15”),137.262,137.26],[new Date(“2004-04-16”),136.876,136.88],[new Date(“2004-04-17”),136.876,136.88],[new Date(“2004-04-18”),136.876,136.88],[new Date(“2004-04-19”),135.656,135.66],[new Date(“2004-04-20”),137.248,137.25],[new Date(“2004-04-21”),138.302,138.30],[new Date(“2004-04-22”),137.740,137.74],[new Date(“2004-04-23”),137.512,137.51],[new Date(“2004-04-24”),137.512,137.51],[new Date(“2004-04-25”),137.512,137.51],[new Date(“2004-04-26”),138.097,138.10],[new Date(“2004-04-27”),133.015,133.01],[new Date(“2004-04-28”),137.473,137.47],[new Date(“2004-04-29”),133.000,133.00],[new Date(“2004-04-30″),134.066,134.07],]);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, 2004

01      135.1697
02      136.1692
↘1.000, 0.74%
03      139.0110
↘2.842, 2.09%
04      138.1507
↗0.860, 0.62%
05      138.2492
↘0.098, 0.07%
06      138.2492
→0.000, 0.00%
07      138.2492
→0.000, 0.00%
08      136.4156
↗1.834, 1.33%
09      136.3517
↗0.064, 0.05%
10      137.3149
↘0.963, 0.71%
11      137.9616
↘0.647, 0.47%
12      138.0680
↘0.106, 0.08%
13      138.0680
→0.000, 0.00%
14      138.0680
→0.000, 0.00%
15      137.5034
↗0.565, 0.41%
16      136.7352
↗0.768, 0.56%
17      137.8410
↘1.106, 0.81%
18      137.6775
↗0.163, 0.12%
19      136.8083
↗0.869, 0.63%
20      136.8083
→0.000, 0.00%
21      136.8083
→0.000, 0.00%
22      136.9440
↘0.136, 0.10%
23      137.4404
↘0.496, 0.36%
24      137.9042
↘0.464, 0.34%
25      139.2749
↘1.371, 0.99%
26      138.7884
↗0.486, 0.35%
27      138.7884
→0.000, 0.00%
28      138.7884
→0.000, 0.00%
29      139.4183
↘0.630, 0.45%
30      138.6290
↗0.789, 0.57%
31      133.6261
↗5.003, 3.61%
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(“2004-03-01”),135.170,135.17],[new Date(“2004-03-02”),136.169,136.17],[new Date(“2004-03-03”),139.011,139.01],[new Date(“2004-03-04”),138.151,138.15],[new Date(“2004-03-05”),138.249,138.25],[new Date(“2004-03-06”),138.249,138.25],[new Date(“2004-03-07”),138.249,138.25],[new Date(“2004-03-08”),136.416,136.42],[new Date(“2004-03-09”),136.352,136.35],[new Date(“2004-03-10”),137.315,137.31],[new Date(“2004-03-11”),137.962,137.96],[new Date(“2004-03-12”),138.068,138.07],[new Date(“2004-03-13”),138.068,138.07],[new Date(“2004-03-14”),138.068,138.07],[new Date(“2004-03-15”),137.503,137.50],[new Date(“2004-03-16”),136.735,136.74],[new Date(“2004-03-17”),137.841,137.84],[new Date(“2004-03-18”),137.677,137.68],[new Date(“2004-03-19”),136.808,136.81],[new Date(“2004-03-20”),136.808,136.81],[new Date(“2004-03-21”),136.808,136.81],[new Date(“2004-03-22”),136.944,136.94],[new Date(“2004-03-23”),137.440,137.44],[new Date(“2004-03-24”),137.904,137.90],[new Date(“2004-03-25”),139.275,139.27],[new Date(“2004-03-26”),138.788,138.79],[new Date(“2004-03-27”),138.788,138.79],[new Date(“2004-03-28”),138.788,138.79],[new Date(“2004-03-29”),139.418,139.42],[new Date(“2004-03-30”),138.629,138.63],[new Date(“2004-03-31″),133.626,133.63],]);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_3’));
chart.draw(data, options);
}

February, 2004

01      139.4009
02      139.3944
↗0.006, 0.00%
03      139.3979
↘0.004, 0.00%
04      139.3482
↗0.050, 0.04%
05      139.2573
↗0.091, 0.07%
06      139.3720
↘0.115, 0.08%
07      139.3720
→0.000, 0.00%
08      139.3720
→0.000, 0.00%
09      139.3928
↘0.021, 0.01%
10      139.4095
↘0.017, 0.01%
11      139.3859
↗0.024, 0.02%
12      139.3925
↘0.007, 0.00%
13      137.0012
↗2.391, 1.72%
14      137.0012
→0.000, 0.00%
15      137.0012
→0.000, 0.00%
16      136.9976
↗0.004, 0.00%
17      132.2774
↗4.720, 3.45%
18      136.9863
↘4.709, 3.56%
19      136.3565
↗0.630, 0.46%
20      134.5052
↗1.851, 1.36%
21      134.5052
→0.000, 0.00%
22      134.5052
→0.000, 0.00%
23      136.4761
↘1.971, 1.47%
24      136.3111
↗0.165, 0.12%
25      136.2978
↗0.013, 0.01%
26      136.9353
↘0.638, 0.47%
27      135.9987
↗0.937, 0.68%
28      135.9987
→0.000, 0.00%
29      135.9987
→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(“2004-02-01”),139.401,139.40],[new Date(“2004-02-02”),139.394,139.39],[new Date(“2004-02-03”),139.398,139.40],[new Date(“2004-02-04”),139.348,139.35],[new Date(“2004-02-05”),139.257,139.26],[new Date(“2004-02-06”),139.372,139.37],[new Date(“2004-02-07”),139.372,139.37],[new Date(“2004-02-08”),139.372,139.37],[new Date(“2004-02-09”),139.393,139.39],[new Date(“2004-02-10”),139.410,139.41],[new Date(“2004-02-11”),139.386,139.39],[new Date(“2004-02-12”),139.393,139.39],[new Date(“2004-02-13”),137.001,137.00],[new Date(“2004-02-14”),137.001,137.00],[new Date(“2004-02-15”),137.001,137.00],[new Date(“2004-02-16”),136.998,137.00],[new Date(“2004-02-17”),132.277,132.28],[new Date(“2004-02-18”),136.986,136.99],[new Date(“2004-02-19”),136.357,136.36],[new Date(“2004-02-20”),134.505,134.51],[new Date(“2004-02-21”),134.505,134.51],[new Date(“2004-02-22”),134.505,134.51],[new Date(“2004-02-23”),136.476,136.48],[new Date(“2004-02-24”),136.311,136.31],[new Date(“2004-02-25”),136.298,136.30],[new Date(“2004-02-26”),136.935,136.94],[new Date(“2004-02-27”),135.999,136.00],[new Date(“2004-02-28”),135.999,136.00],[new Date(“2004-02-29″),135.999,136.00],]);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_2’));
chart.draw(data, options);
}

January, 2004

01      139.5537
02      139.5346
↗0.019, 0.01%
03      139.5346
→0.000, 0.00%
04      139.5346
→0.000, 0.00%
05      139.5515
↘0.017, 0.01%
06      138.6486
↗0.903, 0.65%
07      139.5204
↘0.872, 0.63%
08      140.3661
↘0.846, 0.61%
09      138.6510
↗1.715, 1.22%
10      138.6510
→0.000, 0.00%
11      138.6510
→0.000, 0.00%
12      139.4141
↘0.763, 0.55%
13      138.8765
↗0.538, 0.39%
14      139.4747
↘0.598, 0.43%
15      140.0074
↘0.533, 0.38%
16      141.6529
↘1.645, 1.18%
17      141.6529
→0.000, 0.00%
18      141.6529
→0.000, 0.00%
19      143.0981
↘1.445, 1.02%
20      141.4272
↗1.671, 1.17%
21      140.1472
↗1.280, 0.91%
22      139.2041
↗0.943, 0.67%
23      138.8803
↗0.324, 0.23%
24      138.8803
→0.000, 0.00%
25      138.8803
→0.000, 0.00%
26      140.7251
↘1.845, 1.33%
27      139.4126
↗1.313, 0.93%
28      140.3606
↘0.948, 0.68%
29      139.3710
↗0.990, 0.70%
30      139.4009
↘0.030, 0.02%
31      139.4009
→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(“2004-01-01”),139.554,139.55],[new Date(“2004-01-02”),139.535,139.53],[new Date(“2004-01-03”),139.535,139.53],[new Date(“2004-01-04”),139.535,139.53],[new Date(“2004-01-05”),139.552,139.55],[new Date(“2004-01-06”),138.649,138.65],[new Date(“2004-01-07”),139.520,139.52],[new Date(“2004-01-08”),140.366,140.37],[new Date(“2004-01-09”),138.651,138.65],[new Date(“2004-01-10”),138.651,138.65],[new Date(“2004-01-11”),138.651,138.65],[new Date(“2004-01-12”),139.414,139.41],[new Date(“2004-01-13”),138.876,138.88],[new Date(“2004-01-14”),139.475,139.47],[new Date(“2004-01-15”),140.007,140.01],[new Date(“2004-01-16”),141.653,141.65],[new Date(“2004-01-17”),141.653,141.65],[new Date(“2004-01-18”),141.653,141.65],[new Date(“2004-01-19”),143.098,143.10],[new Date(“2004-01-20”),141.427,141.43],[new Date(“2004-01-21”),140.147,140.15],[new Date(“2004-01-22”),139.204,139.20],[new Date(“2004-01-23”),138.880,138.88],[new Date(“2004-01-24”),138.880,138.88],[new Date(“2004-01-25”),138.880,138.88],[new Date(“2004-01-26”),140.725,140.73],[new Date(“2004-01-27”),139.413,139.41],[new Date(“2004-01-28”),140.361,140.36],[new Date(“2004-01-29”),139.371,139.37],[new Date(“2004-01-30”),139.401,139.40],[new Date(“2004-01-31″),139.401,139.40],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}