Hungarian Forint HUF 2004 Conversion Rates

  • Opening Value is 208.085895 HUF per Dollar
  • Closing Value is 180.481137 HUF per Dollar
  • Change in Value during 2004 is -27.6048 which is -13.27%
  • Best Performance is on 2004-12-31 with 180.481137 HUF per Dollar
  • Lowest Performance is on 2004-05-14 with 217.200190 HUF per Dollar
  • Average Value is 202.7109 HUF per Dollar
  • Swing Between the higest and the lowest is 36.7191 per Dollar, that is 17.65% compared to the opening value.

USD to HUF Conversion Rates – 12 months

Date 1 USD =
2004-12-31 180.4811 HUF
2004-11-30 185.0957 HUF
2004-10-31 193.2966 HUF
2004-09-30 199.6348 HUF
2004-08-31 206.0064 HUF
2004-07-31 206.0038 HUF
2004-06-30 207.5460 HUF
2004-05-31 205.8040 HUF
2004-04-30 210.4077 HUF
2004-03-31 203.9470 HUF
2004-02-29 207.6656 HUF
2004-01-31 213.1942 HUF
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”),180.481,180.48],[new Date(“2004-11-30”),185.096,185.10],[new Date(“2004-10-31”),193.297,193.30],[new Date(“2004-09-30”),199.635,199.63],[new Date(“2004-08-31”),206.006,206.01],[new Date(“2004-07-31”),206.004,206.00],[new Date(“2004-06-30”),207.546,207.55],[new Date(“2004-05-31”),205.804,205.80],[new Date(“2004-04-30”),210.408,210.41],[new Date(“2004-03-31”),203.947,203.95],[new Date(“2004-02-29”),207.666,207.67],[new Date(“2004-01-31”),213.194,213.19],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘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      184.2498
02      183.5293
↗0.721, 0.39%
03      184.0574
↘0.528, 0.29%
04      184.0923
↘0.035, 0.02%
05      184.0923
→0.000, 0.00%
06      182.5805
↗1.512, 0.82%
07      182.8402
↘0.260, 0.14%
08      184.3129
↘1.473, 0.81%
09      185.4035
↘1.091, 0.59%
10      187.7845
↘2.381, 1.28%
11      187.7287
↗0.056, 0.03%
12      187.7287
→0.000, 0.00%
13      186.6447
↗1.084, 0.58%
14      185.5132
↗1.132, 0.61%
15      183.9321
↗1.581, 0.85%
16      183.2680
↗0.664, 0.36%
17      185.3292
↘2.061, 1.12%
18      185.5107
↘0.181, 0.10%
19      185.5107
→0.000, 0.00%
20      183.4386
↗2.072, 1.12%
21      182.9201
↗0.518, 0.28%
22      183.4762
↘0.556, 0.30%
23      182.9182
↗0.558, 0.30%
24      182.2528
↗0.665, 0.36%
25      182.6640
↘0.411, 0.23%
26      182.6640
→0.000, 0.00%
27      181.6266
↗1.037, 0.57%
28      180.5572
↗1.069, 0.59%
29      180.5871
↘0.030, 0.02%
30      180.5442
↗0.043, 0.02%
31      180.4811
↗0.063, 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(“2004-12-01”),184.250,184.25],[new Date(“2004-12-02”),183.529,183.53],[new Date(“2004-12-03”),184.057,184.06],[new Date(“2004-12-04”),184.092,184.09],[new Date(“2004-12-05”),184.092,184.09],[new Date(“2004-12-06”),182.581,182.58],[new Date(“2004-12-07”),182.840,182.84],[new Date(“2004-12-08”),184.313,184.31],[new Date(“2004-12-09”),185.404,185.40],[new Date(“2004-12-10”),187.784,187.78],[new Date(“2004-12-11”),187.729,187.73],[new Date(“2004-12-12”),187.729,187.73],[new Date(“2004-12-13”),186.645,186.64],[new Date(“2004-12-14”),185.513,185.51],[new Date(“2004-12-15”),183.932,183.93],[new Date(“2004-12-16”),183.268,183.27],[new Date(“2004-12-17”),185.329,185.33],[new Date(“2004-12-18”),185.511,185.51],[new Date(“2004-12-19”),185.511,185.51],[new Date(“2004-12-20”),183.439,183.44],[new Date(“2004-12-21”),182.920,182.92],[new Date(“2004-12-22”),183.476,183.48],[new Date(“2004-12-23”),182.918,182.92],[new Date(“2004-12-24”),182.253,182.25],[new Date(“2004-12-25”),182.664,182.66],[new Date(“2004-12-26”),182.664,182.66],[new Date(“2004-12-27”),181.627,181.63],[new Date(“2004-12-28”),180.557,180.56],[new Date(“2004-12-29”),180.587,180.59],[new Date(“2004-12-30”),180.544,180.54],[new Date(“2004-12-31″),180.481,180.48],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2004

01      192.6720
02      193.1932
↘0.521, 0.27%
03      192.8642
↗0.329, 0.17%
04      190.8786
↗1.986, 1.03%
05      191.0185
↘0.140, 0.07%
06      190.9589
↗0.060, 0.03%
07      190.9589
→0.000, 0.00%
08      189.7596
↗1.199, 0.63%
09      189.9970
↘0.237, 0.13%
10      188.9518
↗1.045, 0.55%
11      189.6765
↘0.725, 0.38%
12      189.3294
↗0.347, 0.18%
13      189.4707
↘0.141, 0.07%
14      189.4707
→0.000, 0.00%
15      188.2639
↗1.207, 0.64%
16      188.4136
↘0.150, 0.08%
17      188.0035
↗0.410, 0.22%
18      188.5198
↘0.516, 0.27%
19      189.6944
↘1.175, 0.62%
20      189.8343
↘0.140, 0.07%
21      189.8343
→0.000, 0.00%
22      189.1171
↗0.717, 0.38%
23      187.3514
↗1.766, 0.93%
24      186.6499
↗0.702, 0.37%
25      186.2984
↗0.351, 0.19%
26      185.7461
↗0.552, 0.30%
27      186.2527
↘0.507, 0.27%
28      186.2527
→0.000, 0.00%
29      185.7080
↗0.545, 0.29%
30      185.0957
↗0.612, 0.33%
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_11’));
chart.draw(data, options);
}

October, 2004

01      198.1927
02      198.0046
↗0.188, 0.09%
03      198.0046
→0.000, 0.00%
04      200.1213
↘2.117, 1.07%
05      199.6137
↗0.508, 0.25%
06      199.8924
↘0.279, 0.14%
07      200.1280
↘0.236, 0.12%
08      199.9269
↗0.201, 0.10%
09      199.9513
↘0.024, 0.01%
10      199.9513
→0.000, 0.00%
11      198.1190
↗1.832, 0.92%
12      199.5415
↘1.423, 0.72%
13      201.1066
↘1.565, 0.78%
14      200.0364
↗1.070, 0.53%
15      199.7402
↗0.296, 0.15%
16      199.8268
↘0.087, 0.04%
17      199.8268
→0.000, 0.00%
18      198.4211
↗1.406, 0.70%
19      197.3705
↗1.051, 0.53%
20      195.9243
↗1.446, 0.73%
21      195.9080
↗0.016, 0.01%
22      195.7344
↗0.174, 0.09%
23      195.5937
↗0.141, 0.07%
24      195.5937
→0.000, 0.00%
25      193.6380
↗1.956, 1.00%
26      193.7212
↘0.083, 0.04%
27      193.6361
↗0.085, 0.04%
28      193.9178
↘0.282, 0.15%
29      193.2330
↗0.685, 0.35%
30      193.2966
↘0.064, 0.03%
31      193.2966
→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”),198.193,198.19],[new Date(“2004-10-02”),198.005,198.00],[new Date(“2004-10-03”),198.005,198.00],[new Date(“2004-10-04”),200.121,200.12],[new Date(“2004-10-05”),199.614,199.61],[new Date(“2004-10-06”),199.892,199.89],[new Date(“2004-10-07”),200.128,200.13],[new Date(“2004-10-08”),199.927,199.93],[new Date(“2004-10-09”),199.951,199.95],[new Date(“2004-10-10”),199.951,199.95],[new Date(“2004-10-11”),198.119,198.12],[new Date(“2004-10-12”),199.542,199.54],[new Date(“2004-10-13”),201.107,201.11],[new Date(“2004-10-14”),200.036,200.04],[new Date(“2004-10-15”),199.740,199.74],[new Date(“2004-10-16”),199.827,199.83],[new Date(“2004-10-17”),199.827,199.83],[new Date(“2004-10-18”),198.421,198.42],[new Date(“2004-10-19”),197.370,197.37],[new Date(“2004-10-20”),195.924,195.92],[new Date(“2004-10-21”),195.908,195.91],[new Date(“2004-10-22”),195.734,195.73],[new Date(“2004-10-23”),195.594,195.59],[new Date(“2004-10-24”),195.594,195.59],[new Date(“2004-10-25”),193.638,193.64],[new Date(“2004-10-26”),193.721,193.72],[new Date(“2004-10-27”),193.636,193.64],[new Date(“2004-10-28”),193.918,193.92],[new Date(“2004-10-29”),193.233,193.23],[new Date(“2004-10-30”),193.297,193.30],[new Date(“2004-10-31″),193.297,193.30],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
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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      204.2194
02      203.8679
↗0.351, 0.17%
03      203.5038
↗0.364, 0.18%
04      203.5578
↘0.054, 0.03%
05      203.5578
→0.000, 0.00%
06      204.9303
↘1.372, 0.67%
07      205.3397
↘0.409, 0.20%
08      206.1752
↘0.836, 0.41%
09      204.5702
↗1.605, 0.78%
10      205.2499
↘0.680, 0.33%
11      205.1393
↗0.111, 0.05%
12      205.1393
→0.000, 0.00%
13      203.6748
↗1.465, 0.71%
14      202.9409
↗0.734, 0.36%
15      202.4600
↗0.481, 0.24%
16      203.4087
↘0.949, 0.47%
17      202.8351
↗0.574, 0.28%
18      202.8366
↘0.002, 0.00%
19      202.8366
→0.000, 0.00%
20      203.5022
↘0.666, 0.33%
21      201.0215
↗2.481, 1.22%
22      200.7148
↗0.307, 0.15%
23      199.9572
↗0.758, 0.38%
24      200.0853
↘0.128, 0.06%
25      200.0569
↗0.028, 0.01%
26      200.0569
→0.000, 0.00%
27      200.6510
↘0.594, 0.30%
28      200.1520
↗0.499, 0.25%
29      200.3619
↘0.210, 0.10%
30      199.6348
↗0.727, 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(“2004-09-01”),204.219,204.22],[new Date(“2004-09-02”),203.868,203.87],[new Date(“2004-09-03”),203.504,203.50],[new Date(“2004-09-04”),203.558,203.56],[new Date(“2004-09-05”),203.558,203.56],[new Date(“2004-09-06”),204.930,204.93],[new Date(“2004-09-07”),205.340,205.34],[new Date(“2004-09-08”),206.175,206.18],[new Date(“2004-09-09”),204.570,204.57],[new Date(“2004-09-10”),205.250,205.25],[new Date(“2004-09-11”),205.139,205.14],[new Date(“2004-09-12”),205.139,205.14],[new Date(“2004-09-13”),203.675,203.67],[new Date(“2004-09-14”),202.941,202.94],[new Date(“2004-09-15”),202.460,202.46],[new Date(“2004-09-16”),203.409,203.41],[new Date(“2004-09-17”),202.835,202.84],[new Date(“2004-09-18”),202.837,202.84],[new Date(“2004-09-19”),202.837,202.84],[new Date(“2004-09-20”),203.502,203.50],[new Date(“2004-09-21”),201.022,201.02],[new Date(“2004-09-22”),200.715,200.71],[new Date(“2004-09-23”),199.957,199.96],[new Date(“2004-09-24”),200.085,200.09],[new Date(“2004-09-25”),200.057,200.06],[new Date(“2004-09-26”),200.057,200.06],[new Date(“2004-09-27”),200.651,200.65],[new Date(“2004-09-28”),200.152,200.15],[new Date(“2004-09-29”),200.362,200.36],[new Date(“2004-09-30″),199.635,199.63],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
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August, 2004

01      206.0038
02      206.3812
↘0.377, 0.18%
03      208.2992
↘1.918, 0.93%
04      208.5343
↘0.235, 0.11%
05      206.8872
↗1.647, 0.79%
06      204.5091
↗2.378, 1.15%
07      203.2738
↗1.235, 0.60%
08      203.2738
→0.000, 0.00%
09      201.2816
↗1.992, 0.98%
10      200.8116
↗0.470, 0.23%
11      202.3259
↘1.514, 0.75%
12      202.2167
↗0.109, 0.05%
13      203.3002
↘1.083, 0.54%
14      203.1467
↗0.153, 0.08%
15      203.1467
→0.000, 0.00%
16      200.9574
↗2.189, 1.08%
17      200.5473
↗0.410, 0.20%
18      200.6144
↘0.067, 0.03%
19      201.5081
↘0.894, 0.45%
20      204.3028
↘2.795, 1.39%
21      203.9525
↗0.350, 0.17%
22      203.9525
→0.000, 0.00%
23      205.0245
↘1.072, 0.53%
24      205.4378
↘0.413, 0.20%
25      206.4828
↘1.045, 0.51%
26      205.8161
↗0.667, 0.32%
27      206.1575
↘0.341, 0.17%
28      206.1668
↘0.009, 0.00%
29      206.1668
→0.000, 0.00%
30      206.9831
↘0.816, 0.40%
31      206.0064
↗0.977, 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(“2004-08-01”),206.004,206.00],[new Date(“2004-08-02”),206.381,206.38],[new Date(“2004-08-03”),208.299,208.30],[new Date(“2004-08-04”),208.534,208.53],[new Date(“2004-08-05”),206.887,206.89],[new Date(“2004-08-06”),204.509,204.51],[new Date(“2004-08-07”),203.274,203.27],[new Date(“2004-08-08”),203.274,203.27],[new Date(“2004-08-09”),201.282,201.28],[new Date(“2004-08-10”),200.812,200.81],[new Date(“2004-08-11”),202.326,202.33],[new Date(“2004-08-12”),202.217,202.22],[new Date(“2004-08-13”),203.300,203.30],[new Date(“2004-08-14”),203.147,203.15],[new Date(“2004-08-15”),203.147,203.15],[new Date(“2004-08-16”),200.957,200.96],[new Date(“2004-08-17”),200.547,200.55],[new Date(“2004-08-18”),200.614,200.61],[new Date(“2004-08-19”),201.508,201.51],[new Date(“2004-08-20”),204.303,204.30],[new Date(“2004-08-21”),203.953,203.95],[new Date(“2004-08-22”),203.953,203.95],[new Date(“2004-08-23”),205.024,205.02],[new Date(“2004-08-24”),205.438,205.44],[new Date(“2004-08-25”),206.483,206.48],[new Date(“2004-08-26”),205.816,205.82],[new Date(“2004-08-27”),206.157,206.16],[new Date(“2004-08-28”),206.167,206.17],[new Date(“2004-08-29”),206.167,206.17],[new Date(“2004-08-30”),206.983,206.98],[new Date(“2004-08-31″),206.006,206.01],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2004

01      206.3651
02      206.6028
↘0.238, 0.12%
03      206.4637
↗0.139, 0.07%
04      206.4637
→0.000, 0.00%
05      204.2564
↗2.207, 1.07%
06      203.4451
↗0.811, 0.40%
07      203.0772
↗0.368, 0.18%
08      203.0848
↘0.008, 0.00%
09      203.1897
↘0.105, 0.05%
10      202.9362
↗0.254, 0.12%
11      202.9362
→0.000, 0.00%
12      203.0151
↘0.079, 0.04%
13      202.5532
↗0.462, 0.23%
14      202.1093
↗0.444, 0.22%
15      201.9807
↗0.129, 0.06%
16      202.6587
↘0.678, 0.34%
17      202.8565
↘0.198, 0.10%
18      202.8565
→0.000, 0.00%
19      200.9803
↗1.876, 0.92%
20      201.2205
↘0.240, 0.12%
21      203.1620
↘1.941, 0.96%
22      203.7226
↘0.561, 0.28%
23      203.9936
↘0.271, 0.13%
24      203.7464
↗0.247, 0.12%
25      203.7464
→0.000, 0.00%
26      204.9982
↘1.252, 0.61%
27      204.2251
↗0.773, 0.38%
28      205.9899
↘1.765, 0.86%
29      205.4890
↗0.501, 0.24%
30      206.1251
↘0.636, 0.31%
31      206.0038
↗0.121, 0.06%
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”),206.365,206.37],[new Date(“2004-07-02”),206.603,206.60],[new Date(“2004-07-03”),206.464,206.46],[new Date(“2004-07-04”),206.464,206.46],[new Date(“2004-07-05”),204.256,204.26],[new Date(“2004-07-06”),203.445,203.45],[new Date(“2004-07-07”),203.077,203.08],[new Date(“2004-07-08”),203.085,203.08],[new Date(“2004-07-09”),203.190,203.19],[new Date(“2004-07-10”),202.936,202.94],[new Date(“2004-07-11”),202.936,202.94],[new Date(“2004-07-12”),203.015,203.02],[new Date(“2004-07-13”),202.553,202.55],[new Date(“2004-07-14”),202.109,202.11],[new Date(“2004-07-15”),201.981,201.98],[new Date(“2004-07-16”),202.659,202.66],[new Date(“2004-07-17”),202.856,202.86],[new Date(“2004-07-18”),202.856,202.86],[new Date(“2004-07-19”),200.980,200.98],[new Date(“2004-07-20”),201.221,201.22],[new Date(“2004-07-21”),203.162,203.16],[new Date(“2004-07-22”),203.723,203.72],[new Date(“2004-07-23”),203.994,203.99],[new Date(“2004-07-24”),203.746,203.75],[new Date(“2004-07-25”),203.746,203.75],[new Date(“2004-07-26”),204.998,205.00],[new Date(“2004-07-27”),204.225,204.23],[new Date(“2004-07-28”),205.990,205.99],[new Date(“2004-07-29”),205.489,205.49],[new Date(“2004-07-30”),206.125,206.13],[new Date(“2004-07-31″),206.004,206.00],]);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, 2004

01      205.3870
02      205.0248
↗0.362, 0.18%
03      205.9001
↘0.875, 0.43%
04      206.3879
↘0.488, 0.24%
05      206.1790
↗0.209, 0.10%
06      206.1790
→0.000, 0.00%
07      204.6040
↗1.575, 0.76%
08      204.1315
↗0.473, 0.23%
09      206.7884
↘2.657, 1.30%
10      209.0133
↘2.225, 1.08%
11      210.6129
↘1.600, 0.77%
12      209.9980
↗0.615, 0.29%
13      209.9980
→0.000, 0.00%
14      211.1357
↘1.138, 0.54%
15      210.2258
↗0.910, 0.43%
16      209.2130
↗1.013, 0.48%
17      211.6212
↘2.408, 1.15%
18      211.7361
↘0.115, 0.05%
19      211.4809
↗0.255, 0.12%
20      211.4809
→0.000, 0.00%
21      209.9097
↗1.571, 0.74%
22      211.1352
↘1.226, 0.58%
23      210.3630
↗0.772, 0.37%
24      209.0992
↗1.264, 0.60%
25      208.3023
↗0.797, 0.38%
26      208.1683
↗0.134, 0.06%
27      208.1683
→0.000, 0.00%
28      207.8687
↗0.300, 0.14%
29      207.8116
↗0.057, 0.03%
30      207.5460
↗0.266, 0.13%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-06-01”),205.387,205.39],[new Date(“2004-06-02”),205.025,205.02],[new Date(“2004-06-03”),205.900,205.90],[new Date(“2004-06-04”),206.388,206.39],[new Date(“2004-06-05”),206.179,206.18],[new Date(“2004-06-06”),206.179,206.18],[new Date(“2004-06-07”),204.604,204.60],[new Date(“2004-06-08”),204.131,204.13],[new Date(“2004-06-09”),206.788,206.79],[new Date(“2004-06-10”),209.013,209.01],[new Date(“2004-06-11”),210.613,210.61],[new Date(“2004-06-12”),209.998,210.00],[new Date(“2004-06-13”),209.998,210.00],[new Date(“2004-06-14”),211.136,211.14],[new Date(“2004-06-15”),210.226,210.23],[new Date(“2004-06-16”),209.213,209.21],[new Date(“2004-06-17”),211.621,211.62],[new Date(“2004-06-18”),211.736,211.74],[new Date(“2004-06-19”),211.481,211.48],[new Date(“2004-06-20”),211.481,211.48],[new Date(“2004-06-21”),209.910,209.91],[new Date(“2004-06-22”),211.135,211.14],[new Date(“2004-06-23”),210.363,210.36],[new Date(“2004-06-24”),209.099,209.10],[new Date(“2004-06-25”),208.302,208.30],[new Date(“2004-06-26”),208.168,208.17],[new Date(“2004-06-27”),208.168,208.17],[new Date(“2004-06-28”),207.869,207.87],[new Date(“2004-06-29”),207.812,207.81],[new Date(“2004-06-30″),207.546,207.55],]);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_6’));
chart.draw(data, options);
}

May, 2004

01      210.5953
02      210.5953
→0.000, 0.00%
03      210.7051
↘0.110, 0.05%
04      209.0108
↗1.694, 0.80%
05      207.1148
↗1.896, 0.91%
06      207.1229
↘0.008, 0.00%
07      209.0788
↘1.956, 0.94%
08      209.1209
↘0.042, 0.02%
09      209.1209
→0.000, 0.00%
10      215.6476
↘6.527, 3.12%
11      215.3924
↗0.255, 0.12%
12      214.6606
↗0.732, 0.34%
13      215.8968
↘1.236, 0.58%
14      217.2002
↘1.303, 0.60%
15      217.1067
↗0.093, 0.04%
16      217.1067
→0.000, 0.00%
17      211.8859
↗5.221, 2.40%
18      211.5226
↗0.363, 0.17%
19      210.9678
↗0.555, 0.26%
20      211.4604
↘0.493, 0.23%
21      210.5050
↗0.955, 0.45%
22      210.5121
↘0.007, 0.00%
23      210.5121
→0.000, 0.00%
24      210.7407
↘0.229, 0.11%
25      209.1381
↗1.603, 0.76%
26      207.7569
↗1.381, 0.66%
27      206.7193
↗1.038, 0.50%
28      205.0757
↗1.644, 0.80%
29      205.0231
↗0.053, 0.03%
30      205.0231
→0.000, 0.00%
31      205.8040
↘0.781, 0.38%
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”),210.595,210.60],[new Date(“2004-05-02”),210.595,210.60],[new Date(“2004-05-03”),210.705,210.71],[new Date(“2004-05-04”),209.011,209.01],[new Date(“2004-05-05”),207.115,207.11],[new Date(“2004-05-06”),207.123,207.12],[new Date(“2004-05-07”),209.079,209.08],[new Date(“2004-05-08”),209.121,209.12],[new Date(“2004-05-09”),209.121,209.12],[new Date(“2004-05-10”),215.648,215.65],[new Date(“2004-05-11”),215.392,215.39],[new Date(“2004-05-12”),214.661,214.66],[new Date(“2004-05-13”),215.897,215.90],[new Date(“2004-05-14”),217.200,217.20],[new Date(“2004-05-15”),217.107,217.11],[new Date(“2004-05-16”),217.107,217.11],[new Date(“2004-05-17”),211.886,211.89],[new Date(“2004-05-18”),211.523,211.52],[new Date(“2004-05-19”),210.968,210.97],[new Date(“2004-05-20”),211.460,211.46],[new Date(“2004-05-21”),210.505,210.50],[new Date(“2004-05-22”),210.512,210.51],[new Date(“2004-05-23”),210.512,210.51],[new Date(“2004-05-24”),210.741,210.74],[new Date(“2004-05-25”),209.138,209.14],[new Date(“2004-05-26”),207.757,207.76],[new Date(“2004-05-27”),206.719,206.72],[new Date(“2004-05-28”),205.076,205.08],[new Date(“2004-05-29”),205.023,205.02],[new Date(“2004-05-30”),205.023,205.02],[new Date(“2004-05-31″),205.804,205.80],]);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      203.0293
02      201.7901
↗1.239, 0.61%
03      201.1934
↗0.597, 0.30%
04      201.1934
→0.000, 0.00%
05      205.3370
↘4.144, 2.06%
06      205.7310
↘0.394, 0.19%
07      204.7887
↗0.942, 0.46%
08      205.2553
↘0.467, 0.23%
09      204.8641
↗0.391, 0.19%
10      204.8641
→0.000, 0.00%
11      204.8641
→0.000, 0.00%
12      204.8641
→0.000, 0.00%
13      207.1269
↘2.263, 1.10%
14      209.5179
↘2.391, 1.15%
15      213.0513
↘3.533, 1.69%
16      210.7575
↗2.294, 1.08%
17      209.9494
↗0.808, 0.38%
18      209.9494
→0.000, 0.00%
19      208.8149
↗1.135, 0.54%
20      209.4601
↘0.645, 0.31%
21      210.6504
↘1.190, 0.57%
22      212.1362
↘1.486, 0.71%
23      211.1553
↗0.981, 0.46%
24      211.6922
↘0.537, 0.25%
25      211.6922
→0.000, 0.00%
26      211.3111
↗0.381, 0.18%
27      210.5087
↗0.802, 0.38%
28      210.9047
↘0.396, 0.19%
29      214.2448
↘3.340, 1.58%
30      210.4077
↗3.837, 1.79%
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”),203.029,203.03],[new Date(“2004-04-02”),201.790,201.79],[new Date(“2004-04-03”),201.193,201.19],[new Date(“2004-04-04”),201.193,201.19],[new Date(“2004-04-05”),205.337,205.34],[new Date(“2004-04-06”),205.731,205.73],[new Date(“2004-04-07”),204.789,204.79],[new Date(“2004-04-08”),205.255,205.26],[new Date(“2004-04-09”),204.864,204.86],[new Date(“2004-04-10”),204.864,204.86],[new Date(“2004-04-11”),204.864,204.86],[new Date(“2004-04-12”),204.864,204.86],[new Date(“2004-04-13”),207.127,207.13],[new Date(“2004-04-14”),209.518,209.52],[new Date(“2004-04-15”),213.051,213.05],[new Date(“2004-04-16”),210.757,210.76],[new Date(“2004-04-17”),209.949,209.95],[new Date(“2004-04-18”),209.949,209.95],[new Date(“2004-04-19”),208.815,208.81],[new Date(“2004-04-20”),209.460,209.46],[new Date(“2004-04-21”),210.650,210.65],[new Date(“2004-04-22”),212.136,212.14],[new Date(“2004-04-23”),211.155,211.16],[new Date(“2004-04-24”),211.692,211.69],[new Date(“2004-04-25”),211.692,211.69],[new Date(“2004-04-26”),211.311,211.31],[new Date(“2004-04-27”),210.509,210.51],[new Date(“2004-04-28”),210.905,210.90],[new Date(“2004-04-29”),214.245,214.24],[new Date(“2004-04-30″),210.408,210.41],]);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      204.9975
02      205.8039
↘0.806, 0.39%
03      210.4338
↘4.630, 2.25%
04      209.1283
↗1.306, 0.62%
05      209.6990
↘0.571, 0.27%
06      209.2438
↗0.455, 0.22%
07      209.2438
→0.000, 0.00%
08      206.2898
↗2.954, 1.41%
09      206.1061
↗0.184, 0.09%
10      205.6427
↗0.463, 0.22%
11      206.6301
↘0.987, 0.48%
12      206.6293
↗0.001, 0.00%
13      205.7801
↗0.849, 0.41%
14      205.7801
→0.000, 0.00%
15      207.1350
↘1.355, 0.66%
16      205.8787
↗1.256, 0.61%
17      208.1624
↘2.284, 1.11%
18      207.7293
↗0.433, 0.21%
19      205.0791
↗2.650, 1.28%
20      204.7466
↗0.332, 0.16%
21      204.7466
→0.000, 0.00%
22      205.8112
↘1.065, 0.52%
23      204.9183
↗0.893, 0.43%
24      205.4173
↘0.499, 0.24%
25      207.2638
↘1.847, 0.90%
26      206.7658
↗0.498, 0.24%
27      207.2883
↘0.522, 0.25%
28      207.2883
→0.000, 0.00%
29      207.0903
↗0.198, 0.10%
30      204.7806
↗2.310, 1.12%
31      203.9470
↗0.834, 0.41%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-03-01”),204.997,205.00],[new Date(“2004-03-02”),205.804,205.80],[new Date(“2004-03-03”),210.434,210.43],[new Date(“2004-03-04”),209.128,209.13],[new Date(“2004-03-05”),209.699,209.70],[new Date(“2004-03-06”),209.244,209.24],[new Date(“2004-03-07”),209.244,209.24],[new Date(“2004-03-08”),206.290,206.29],[new Date(“2004-03-09”),206.106,206.11],[new Date(“2004-03-10”),205.643,205.64],[new Date(“2004-03-11”),206.630,206.63],[new Date(“2004-03-12”),206.629,206.63],[new Date(“2004-03-13”),205.780,205.78],[new Date(“2004-03-14”),205.780,205.78],[new Date(“2004-03-15”),207.135,207.14],[new Date(“2004-03-16”),205.879,205.88],[new Date(“2004-03-17”),208.162,208.16],[new Date(“2004-03-18”),207.729,207.73],[new Date(“2004-03-19”),205.079,205.08],[new Date(“2004-03-20”),204.747,204.75],[new Date(“2004-03-21”),204.747,204.75],[new Date(“2004-03-22”),205.811,205.81],[new Date(“2004-03-23”),204.918,204.92],[new Date(“2004-03-24”),205.417,205.42],[new Date(“2004-03-25”),207.264,207.26],[new Date(“2004-03-26”),206.766,206.77],[new Date(“2004-03-27”),207.288,207.29],[new Date(“2004-03-28”),207.288,207.29],[new Date(“2004-03-29”),207.090,207.09],[new Date(“2004-03-30”),204.781,204.78],[new Date(“2004-03-31″),203.947,203.95],]);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_3’));
chart.draw(data, options);
}

February, 2004

01      213.1942
02      212.1474
↗1.047, 0.49%
03      212.0711
↗0.076, 0.04%
04      211.6053
↗0.466, 0.22%
05      212.2454
↘0.640, 0.30%
06      213.8887
↘1.643, 0.77%
07      213.5144
↗0.374, 0.17%
08      213.5144
→0.000, 0.00%
09      209.6877
↗3.827, 1.79%
10      207.3481
↗2.340, 1.12%
11      209.0037
↘1.656, 0.80%
12      206.0352
↗2.968, 1.42%
13      205.1344
↗0.901, 0.44%
14      204.7835
↗0.351, 0.17%
15      204.7835
→0.000, 0.00%
16      206.6970
↘1.913, 0.93%
17      205.8106
↗0.886, 0.43%
18      204.7458
↗1.065, 0.52%
19      206.3391
↘1.593, 0.78%
20      205.9896
↗0.349, 0.17%
21      205.3536
↗0.636, 0.31%
22      205.3536
→0.000, 0.00%
23      207.7370
↘2.383, 1.16%
24      206.2219
↗1.515, 0.73%
25      204.6252
↗1.597, 0.77%
26      207.9898
↘3.365, 1.64%
27      207.3318
↗0.658, 0.32%
28      207.6656
↘0.334, 0.16%
29      207.6656
→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”),213.194,213.19],[new Date(“2004-02-02”),212.147,212.15],[new Date(“2004-02-03”),212.071,212.07],[new Date(“2004-02-04”),211.605,211.61],[new Date(“2004-02-05”),212.245,212.25],[new Date(“2004-02-06”),213.889,213.89],[new Date(“2004-02-07”),213.514,213.51],[new Date(“2004-02-08”),213.514,213.51],[new Date(“2004-02-09”),209.688,209.69],[new Date(“2004-02-10”),207.348,207.35],[new Date(“2004-02-11”),209.004,209.00],[new Date(“2004-02-12”),206.035,206.04],[new Date(“2004-02-13”),205.134,205.13],[new Date(“2004-02-14”),204.783,204.78],[new Date(“2004-02-15”),204.783,204.78],[new Date(“2004-02-16”),206.697,206.70],[new Date(“2004-02-17”),205.811,205.81],[new Date(“2004-02-18”),204.746,204.75],[new Date(“2004-02-19”),206.339,206.34],[new Date(“2004-02-20”),205.990,205.99],[new Date(“2004-02-21”),205.354,205.35],[new Date(“2004-02-22”),205.354,205.35],[new Date(“2004-02-23”),207.737,207.74],[new Date(“2004-02-24”),206.222,206.22],[new Date(“2004-02-25”),204.625,204.63],[new Date(“2004-02-26”),207.990,207.99],[new Date(“2004-02-27”),207.332,207.33],[new Date(“2004-02-28”),207.666,207.67],[new Date(“2004-02-29″),207.666,207.67],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2004

01      208.0859
02      208.0931
↘0.007, 0.00%
03      208.1732
↘0.080, 0.04%
04      208.1732
→0.000, 0.00%
05      207.0253
↗1.148, 0.55%
06      204.0249
↗3.000, 1.45%
07      206.3264
↘2.302, 1.13%
08      208.5955
↘2.269, 1.10%
09      210.0091
↘1.414, 0.68%
10      209.4505
↗0.559, 0.27%
11      209.4505
→0.000, 0.00%
12      210.0873
↘0.637, 0.30%
13      210.9686
↘0.881, 0.42%
14      209.1803
↗1.788, 0.85%
15      210.7201
↘1.540, 0.74%
16      213.5233
↘2.803, 1.33%
17      213.2708
↗0.252, 0.12%
18      213.2708
→0.000, 0.00%
19      213.6945
↘0.424, 0.20%
20      211.2563
↗2.438, 1.14%
21      209.0497
↗2.207, 1.04%
22      207.0578
↗1.992, 0.95%
23      207.3780
↘0.320, 0.15%
24      207.6964
↘0.318, 0.15%
25      207.6964
→0.000, 0.00%
26      208.5008
↘0.804, 0.39%
27      210.5675
↘2.067, 0.99%
28      209.2114
↗1.356, 0.64%
29      210.5049
↘1.293, 0.62%
30      213.4083
↘2.903, 1.38%
31      213.1942
↗0.214, 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(“2004-01-01”),208.086,208.09],[new Date(“2004-01-02”),208.093,208.09],[new Date(“2004-01-03”),208.173,208.17],[new Date(“2004-01-04”),208.173,208.17],[new Date(“2004-01-05”),207.025,207.03],[new Date(“2004-01-06”),204.025,204.02],[new Date(“2004-01-07”),206.326,206.33],[new Date(“2004-01-08”),208.596,208.60],[new Date(“2004-01-09”),210.009,210.01],[new Date(“2004-01-10”),209.450,209.45],[new Date(“2004-01-11”),209.450,209.45],[new Date(“2004-01-12”),210.087,210.09],[new Date(“2004-01-13”),210.969,210.97],[new Date(“2004-01-14”),209.180,209.18],[new Date(“2004-01-15”),210.720,210.72],[new Date(“2004-01-16”),213.523,213.52],[new Date(“2004-01-17”),213.271,213.27],[new Date(“2004-01-18”),213.271,213.27],[new Date(“2004-01-19”),213.694,213.69],[new Date(“2004-01-20”),211.256,211.26],[new Date(“2004-01-21”),209.050,209.05],[new Date(“2004-01-22”),207.058,207.06],[new Date(“2004-01-23”),207.378,207.38],[new Date(“2004-01-24”),207.696,207.70],[new Date(“2004-01-25”),207.696,207.70],[new Date(“2004-01-26”),208.501,208.50],[new Date(“2004-01-27”),210.567,210.57],[new Date(“2004-01-28”),209.211,209.21],[new Date(“2004-01-29”),210.505,210.50],[new Date(“2004-01-30”),213.408,213.41],[new Date(“2004-01-31″),213.194,213.19],]);var options = {
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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);
}