Japanese Yen JPY 2004 Conversion Rates

  • Opening Value is 107.284835 JPY per Dollar
  • Closing Value is 102.588932 JPY per Dollar
  • Change in Value during 2004 is -4.6959 which is -4.38%
  • Best Performance is on 2004-12-04,2004-12-05 with 102.542967 JPY per Dollar
  • Lowest Performance is on 2004-05-15,2004-05-16 with 114.491628 JPY per Dollar
  • Average Value is 108.1471 JPY per Dollar
  • Swing Between the higest and the lowest is 11.9487 per Dollar, that is 11.14% compared to the opening value.

USD to JPY Conversion Rates – 12 months

Date 1 USD =
2004-12-31 102.5889 JPY
2004-11-30 102.8834 JPY
2004-10-31 105.9563 JPY
2004-09-30 110.2415 JPY
2004-08-31 109.4083 JPY
2004-07-31 111.3487 JPY
2004-06-30 109.0291 JPY
2004-05-31 109.4578 JPY
2004-04-30 110.3664 JPY
2004-03-31 104.1366 JPY
2004-02-29 109.1954 JPY
2004-01-31 105.7692 JPY
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”),102.589,102.59],[new Date(“2004-11-30”),102.883,102.88],[new Date(“2004-10-31”),105.956,105.96],[new Date(“2004-09-30”),110.242,110.24],[new Date(“2004-08-31”),109.408,109.41],[new Date(“2004-07-31”),111.349,111.35],[new Date(“2004-06-30”),109.029,109.03],[new Date(“2004-05-31”),109.458,109.46],[new Date(“2004-04-30”),110.366,110.37],[new Date(“2004-03-31”),104.137,104.14],[new Date(“2004-02-29”),109.195,109.20],[new Date(“2004-01-31”),105.769,105.77],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2004

01      102.7985
02      102.9976
↘0.199, 0.19%
03      102.5670
↗0.431, 0.42%
04      102.5430
↗0.024, 0.02%
05      102.5430
→0.000, 0.00%
06      102.7483
↘0.205, 0.20%
07      102.8099
↘0.062, 0.06%
08      104.3172
↘1.507, 1.47%
09      104.6816
↘0.364, 0.35%
10      105.4824
↘0.801, 0.76%
11      105.4873
↘0.005, 0.00%
12      105.4873
→0.000, 0.00%
13      104.7156
↗0.772, 0.73%
14      105.2906
↘0.575, 0.55%
15      104.1960
↗1.095, 1.04%
16      104.2620
↘0.066, 0.06%
17      104.3269
↘0.065, 0.06%
18      104.2976
↗0.029, 0.03%
19      104.2976
→0.000, 0.00%
20      104.0963
↗0.201, 0.19%
21      104.3802
↘0.284, 0.27%
22      104.0410
↗0.339, 0.32%
23      103.7869
↗0.254, 0.24%
24      103.6271
↗0.160, 0.15%
25      103.6543
↘0.027, 0.03%
26      103.6543
→0.000, 0.00%
27      103.3096
↗0.345, 0.33%
28      103.0651
↗0.245, 0.24%
29      103.7925
↘0.727, 0.71%
30      103.2763
↗0.516, 0.50%
31      102.5889
↗0.687, 0.67%
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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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2004

01      106.3784
02      106.3496
↗0.029, 0.03%
03      106.3159
↗0.034, 0.03%
04      106.0917
↗0.224, 0.21%
05      105.8285
↗0.263, 0.25%
06      105.8903
↘0.062, 0.06%
07      105.8903
→0.000, 0.00%
08      105.6136
↗0.277, 0.26%
09      105.7103
↘0.097, 0.09%
10      106.6591
↘0.949, 0.90%
11      106.7035
↘0.044, 0.04%
12      105.6837
↗1.020, 0.96%
13      105.7300
↘0.046, 0.04%
14      105.7300
→0.000, 0.00%
15      105.4002
↗0.330, 0.31%
16      105.3553
↗0.045, 0.04%
17      104.1836
↗1.172, 1.11%
18      104.1408
↗0.043, 0.04%
19      103.2304
↗0.910, 0.87%
20      103.3782
↘0.148, 0.14%
21      103.3782
→0.000, 0.00%
22      103.2019
↗0.176, 0.17%
23      103.2472
↘0.045, 0.04%
24      102.8908
↗0.356, 0.35%
25      102.6990
↗0.192, 0.19%
26      102.7264
↘0.027, 0.03%
27      102.7966
↘0.070, 0.07%
28      102.7966
→0.000, 0.00%
29      102.7791
↗0.018, 0.02%
30      102.8834
↘0.104, 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”);
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2004

01      110.3497
02      110.3113
↗0.038, 0.03%
03      110.3113
→0.000, 0.00%
04      110.9667
↘0.655, 0.59%
05      111.0593
↘0.093, 0.08%
06      111.2714
↘0.212, 0.19%
07      111.2055
↗0.066, 0.06%
08      109.8318
↗1.374, 1.24%
09      109.9421
↘0.110, 0.10%
10      109.9421
→0.000, 0.00%
11      109.2647
↗0.677, 0.62%
12      109.8016
↘0.537, 0.49%
13      109.8254
↘0.024, 0.02%
14      109.5353
↗0.290, 0.26%
15      109.2237
↗0.312, 0.28%
16      109.2251
↘0.001, 0.00%
17      109.2251
→0.000, 0.00%
18      109.3321
↘0.107, 0.10%
19      108.4637
↗0.868, 0.79%
20      108.2646
↗0.199, 0.18%
21      107.5180
↗0.747, 0.69%
22      107.4369
↗0.081, 0.08%
23      107.4478
↘0.011, 0.01%
24      107.4478
→0.000, 0.00%
25      106.6396
↗0.808, 0.75%
26      106.7187
↘0.079, 0.07%
27      106.5867
↗0.132, 0.12%
28      106.2439
↗0.343, 0.32%
29      105.9997
↗0.244, 0.23%
30      105.9563
↗0.043, 0.04%
31      105.9563
→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”),110.350,110.35],[new Date(“2004-10-02”),110.311,110.31],[new Date(“2004-10-03”),110.311,110.31],[new Date(“2004-10-04”),110.967,110.97],[new Date(“2004-10-05”),111.059,111.06],[new Date(“2004-10-06”),111.271,111.27],[new Date(“2004-10-07”),111.205,111.21],[new Date(“2004-10-08”),109.832,109.83],[new Date(“2004-10-09”),109.942,109.94],[new Date(“2004-10-10”),109.942,109.94],[new Date(“2004-10-11”),109.265,109.26],[new Date(“2004-10-12”),109.802,109.80],[new Date(“2004-10-13”),109.825,109.83],[new Date(“2004-10-14”),109.535,109.54],[new Date(“2004-10-15”),109.224,109.22],[new Date(“2004-10-16”),109.225,109.23],[new Date(“2004-10-17”),109.225,109.23],[new Date(“2004-10-18”),109.332,109.33],[new Date(“2004-10-19”),108.464,108.46],[new Date(“2004-10-20”),108.265,108.26],[new Date(“2004-10-21”),107.518,107.52],[new Date(“2004-10-22”),107.437,107.44],[new Date(“2004-10-23”),107.448,107.45],[new Date(“2004-10-24”),107.448,107.45],[new Date(“2004-10-25”),106.640,106.64],[new Date(“2004-10-26”),106.719,106.72],[new Date(“2004-10-27”),106.587,106.59],[new Date(“2004-10-28”),106.244,106.24],[new Date(“2004-10-29”),106.000,106.00],[new Date(“2004-10-30”),105.956,105.96],[new Date(“2004-10-31″),105.956,105.96],]);var options = {
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title: ‘Date’
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‘colors’:[”]
};
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chart.draw(data, options);
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September, 2004

01      109.4475
02      109.4167
↗0.031, 0.03%
03      110.0577
↘0.641, 0.59%
04      109.9134
↗0.144, 0.13%
05      109.9134
→0.000, 0.00%
06      110.2109
↘0.297, 0.27%
07      109.4890
↗0.722, 0.66%
08      109.4132
↗0.076, 0.07%
09      109.7334
↘0.320, 0.29%
10      109.7253
↗0.008, 0.01%
11      109.8468
↘0.121, 0.11%
12      109.8468
→0.000, 0.00%
13      110.1778
↘0.331, 0.30%
14      109.6711
↗0.507, 0.46%
15      109.9627
↘0.292, 0.27%
16      109.6400
↗0.323, 0.29%
17      109.9660
↘0.326, 0.30%
18      109.9446
↗0.021, 0.02%
19      109.9446
→0.000, 0.00%
20      109.8615
↗0.083, 0.08%
21      109.7513
↗0.110, 0.10%
22      110.5339
↘0.783, 0.71%
23      110.6311
↘0.097, 0.09%
24      110.6748
↘0.044, 0.04%
25      110.6229
↗0.052, 0.05%
26      110.6229
→0.000, 0.00%
27      111.2402
↘0.617, 0.56%
28      111.4087
↘0.168, 0.15%
29      110.8678
↗0.541, 0.49%
30      110.2415
↗0.626, 0.56%
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”);
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‘colors’:[”]
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chart.draw(data, options);
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August, 2004

01      111.3487
02      111.0297
↗0.319, 0.29%
03      110.6856
↗0.344, 0.31%
04      111.3332
↘0.648, 0.59%
05      111.5409
↘0.208, 0.19%
06      110.7650
↗0.776, 0.70%
07      110.9817
↘0.217, 0.20%
08      110.9817
→0.000, 0.00%
09      110.6796
↗0.302, 0.27%
10      111.0111
↘0.332, 0.30%
11      110.9121
↗0.099, 0.09%
12      110.9225
↘0.010, 0.01%
13      111.0592
↘0.137, 0.12%
14      111.1654
↘0.106, 0.10%
15      111.1654
→0.000, 0.00%
16      110.6468
↗0.519, 0.47%
17      110.2564
↗0.390, 0.35%
18      109.6616
↗0.595, 0.54%
19      109.4025
↗0.259, 0.24%
20      109.3801
↗0.022, 0.02%
21      109.3968
↘0.017, 0.02%
22      109.3968
→0.000, 0.00%
23      109.6023
↘0.205, 0.19%
24      109.5914
↗0.011, 0.01%
25      110.2570
↘0.666, 0.61%
26      109.6976
↗0.559, 0.51%
27      109.5677
↗0.130, 0.12%
28      109.5867
↘0.019, 0.02%
29      109.5867
→0.000, 0.00%
30      109.8880
↘0.301, 0.27%
31      109.4083
↗0.480, 0.44%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
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July, 2004

01      108.2077
02      108.7178
↘0.510, 0.47%
03      108.7645
↘0.047, 0.04%
04      108.7645
→0.000, 0.00%
05      108.9170
↘0.152, 0.14%
06      109.2957
↘0.379, 0.35%
07      108.4181
↗0.878, 0.80%
08      108.8602
↘0.442, 0.41%
09      108.3443
↗0.516, 0.47%
10      108.3641
↘0.020, 0.02%
11      108.3641
→0.000, 0.00%
12      108.2184
↗0.146, 0.13%
13      108.7436
↘0.525, 0.49%
14      108.9877
↘0.244, 0.22%
15      109.4575
↘0.470, 0.43%
16      109.0637
↗0.394, 0.36%
17      109.1402
↘0.076, 0.07%
18      109.1402
→0.000, 0.00%
19      108.2117
↗0.928, 0.85%
20      108.5043
↘0.293, 0.27%
21      109.6552
↘1.151, 1.06%
22      109.6384
↗0.017, 0.02%
23      110.0414
↘0.403, 0.37%
24      110.0493
↘0.008, 0.01%
25      110.0493
→0.000, 0.00%
26      109.8296
↗0.220, 0.20%
27      110.5507
↘0.721, 0.66%
28      111.6399
↘1.089, 0.99%
29      112.1222
↘0.482, 0.43%
30      111.3904
↗0.732, 0.65%
31      111.3487
↗0.042, 0.04%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-07-01”),108.208,108.21],[new Date(“2004-07-02”),108.718,108.72],[new Date(“2004-07-03”),108.765,108.76],[new Date(“2004-07-04”),108.765,108.76],[new Date(“2004-07-05”),108.917,108.92],[new Date(“2004-07-06”),109.296,109.30],[new Date(“2004-07-07”),108.418,108.42],[new Date(“2004-07-08”),108.860,108.86],[new Date(“2004-07-09”),108.344,108.34],[new Date(“2004-07-10”),108.364,108.36],[new Date(“2004-07-11”),108.364,108.36],[new Date(“2004-07-12”),108.218,108.22],[new Date(“2004-07-13”),108.744,108.74],[new Date(“2004-07-14”),108.988,108.99],[new Date(“2004-07-15”),109.458,109.46],[new Date(“2004-07-16”),109.064,109.06],[new Date(“2004-07-17”),109.140,109.14],[new Date(“2004-07-18”),109.140,109.14],[new Date(“2004-07-19”),108.212,108.21],[new Date(“2004-07-20”),108.504,108.50],[new Date(“2004-07-21”),109.655,109.66],[new Date(“2004-07-22”),109.638,109.64],[new Date(“2004-07-23”),110.041,110.04],[new Date(“2004-07-24”),110.049,110.05],[new Date(“2004-07-25”),110.049,110.05],[new Date(“2004-07-26”),109.830,109.83],[new Date(“2004-07-27”),110.551,110.55],[new Date(“2004-07-28”),111.640,111.64],[new Date(“2004-07-29”),112.122,112.12],[new Date(“2004-07-30”),111.390,111.39],[new Date(“2004-07-31″),111.349,111.35],]);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      110.1913
02      110.2784
↘0.087, 0.08%
03      111.1358
↘0.857, 0.78%
04      111.1889
↘0.053, 0.05%
05      111.1278
↗0.061, 0.05%
06      111.1278
→0.000, 0.00%
07      109.7283
↗1.399, 1.26%
08      109.7842
↘0.056, 0.05%
09      109.7528
↗0.031, 0.03%
10      109.3079
↗0.445, 0.41%
11      109.9849
↘0.677, 0.62%
12      109.6964
↗0.288, 0.26%
13      109.6964
→0.000, 0.00%
14      111.1840
↘1.488, 1.36%
15      110.1371
↗1.047, 0.94%
16      110.0539
↗0.083, 0.08%
17      109.5323
↗0.522, 0.47%
18      108.8750
↗0.657, 0.60%
19      108.9152
↘0.040, 0.04%
20      108.9152
→0.000, 0.00%
21      108.5545
↗0.361, 0.33%
22      108.9183
↘0.364, 0.34%
23      108.7112
↗0.207, 0.19%
24      107.3003
↗1.411, 1.30%
25      107.7455
↘0.445, 0.41%
26      107.7182
↗0.027, 0.03%
27      107.7182
→0.000, 0.00%
28      107.9002
↘0.182, 0.17%
29      108.2925
↘0.392, 0.36%
30      109.0291
↘0.737, 0.68%
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”),110.191,110.19],[new Date(“2004-06-02”),110.278,110.28],[new Date(“2004-06-03”),111.136,111.14],[new Date(“2004-06-04”),111.189,111.19],[new Date(“2004-06-05”),111.128,111.13],[new Date(“2004-06-06”),111.128,111.13],[new Date(“2004-06-07”),109.728,109.73],[new Date(“2004-06-08”),109.784,109.78],[new Date(“2004-06-09”),109.753,109.75],[new Date(“2004-06-10”),109.308,109.31],[new Date(“2004-06-11”),109.985,109.98],[new Date(“2004-06-12”),109.696,109.70],[new Date(“2004-06-13”),109.696,109.70],[new Date(“2004-06-14”),111.184,111.18],[new Date(“2004-06-15”),110.137,110.14],[new Date(“2004-06-16”),110.054,110.05],[new Date(“2004-06-17”),109.532,109.53],[new Date(“2004-06-18”),108.875,108.87],[new Date(“2004-06-19”),108.915,108.92],[new Date(“2004-06-20”),108.915,108.92],[new Date(“2004-06-21”),108.555,108.55],[new Date(“2004-06-22”),108.918,108.92],[new Date(“2004-06-23”),108.711,108.71],[new Date(“2004-06-24”),107.300,107.30],[new Date(“2004-06-25”),107.745,107.75],[new Date(“2004-06-26”),107.718,107.72],[new Date(“2004-06-27”),107.718,107.72],[new Date(“2004-06-28”),107.900,107.90],[new Date(“2004-06-29”),108.293,108.29],[new Date(“2004-06-30″),109.029,109.03],]);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      110.3164
02      110.3164
→0.000, 0.00%
03      110.2202
↗0.096, 0.09%
04      109.8498
↗0.370, 0.34%
05      108.6792
↗1.171, 1.07%
06      109.6068
↘0.928, 0.85%
07      111.6224
↘2.016, 1.84%
08      111.3590
↗0.263, 0.24%
09      111.3590
→0.000, 0.00%
10      113.7145
↘2.355, 2.12%
11      113.4708
↗0.244, 0.21%
12      113.1797
↗0.291, 0.26%
13      114.3680
↘1.188, 1.05%
14      114.4624
↘0.094, 0.08%
15      114.4916
↘0.029, 0.03%
16      114.4916
→0.000, 0.00%
17      114.0365
↗0.455, 0.40%
18      114.0118
↗0.025, 0.02%
19      112.7985
↗1.213, 1.06%
20      113.0260
↘0.227, 0.20%
21      112.0994
↗0.927, 0.82%
22      112.1304
↘0.031, 0.03%
23      112.1304
→0.000, 0.00%
24      112.6262
↘0.496, 0.44%
25      112.2626
↗0.364, 0.32%
26      111.6663
↗0.596, 0.53%
27      111.0756
↗0.591, 0.53%
28      110.4950
↗0.581, 0.52%
29      110.5612
↘0.066, 0.06%
30      110.5612
→0.000, 0.00%
31      109.4578
↗1.103, 1.00%
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(“2004-05-01”),110.316,110.32],[new Date(“2004-05-02”),110.316,110.32],[new Date(“2004-05-03”),110.220,110.22],[new Date(“2004-05-04”),109.850,109.85],[new Date(“2004-05-05”),108.679,108.68],[new Date(“2004-05-06”),109.607,109.61],[new Date(“2004-05-07”),111.622,111.62],[new Date(“2004-05-08”),111.359,111.36],[new Date(“2004-05-09”),111.359,111.36],[new Date(“2004-05-10”),113.714,113.71],[new Date(“2004-05-11”),113.471,113.47],[new Date(“2004-05-12”),113.180,113.18],[new Date(“2004-05-13”),114.368,114.37],[new Date(“2004-05-14”),114.462,114.46],[new Date(“2004-05-15”),114.492,114.49],[new Date(“2004-05-16”),114.492,114.49],[new Date(“2004-05-17”),114.037,114.04],[new Date(“2004-05-18”),114.012,114.01],[new Date(“2004-05-19”),112.798,112.80],[new Date(“2004-05-20”),113.026,113.03],[new Date(“2004-05-21”),112.099,112.10],[new Date(“2004-05-22”),112.130,112.13],[new Date(“2004-05-23”),112.130,112.13],[new Date(“2004-05-24”),112.626,112.63],[new Date(“2004-05-25”),112.263,112.26],[new Date(“2004-05-26”),111.666,111.67],[new Date(“2004-05-27”),111.076,111.08],[new Date(“2004-05-28”),110.495,110.50],[new Date(“2004-05-29”),110.561,110.56],[new Date(“2004-05-30”),110.561,110.56],[new Date(“2004-05-31″),109.458,109.46],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2004

01      103.7381
02      104.3592
↘0.621, 0.60%
03      104.1317
↗0.227, 0.22%
04      104.1317
→0.000, 0.00%
05      105.0191
↘0.887, 0.85%
06      105.8977
↘0.879, 0.84%
07      105.4304
↗0.467, 0.44%
08      106.1560
↘0.726, 0.69%
09      106.3827
↘0.227, 0.21%
10      106.1980
↗0.185, 0.17%
11      106.1980
→0.000, 0.00%
12      105.5633
↗0.635, 0.60%
13      106.4940
↘0.931, 0.88%
14      108.3474
↘1.853, 1.74%
15      108.5109
↘0.163, 0.15%
16      107.9961
↗0.515, 0.47%
17      108.1410
↘0.145, 0.13%
18      108.1410
→0.000, 0.00%
19      108.2567
↘0.116, 0.11%
20      108.2903
↘0.034, 0.03%
21      109.5426
↘1.252, 1.16%
22      109.6259
↘0.083, 0.08%
23      109.1450
↗0.481, 0.44%
24      109.0271
↗0.118, 0.11%
25      109.0271
→0.000, 0.00%
26      108.6991
↗0.328, 0.30%
27      109.5681
↘0.869, 0.80%
28      109.6721
↘0.104, 0.09%
29      110.2042
↘0.532, 0.49%
30      110.3664
↘0.162, 0.15%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-04-01”),103.738,103.74],[new Date(“2004-04-02”),104.359,104.36],[new Date(“2004-04-03”),104.132,104.13],[new Date(“2004-04-04”),104.132,104.13],[new Date(“2004-04-05”),105.019,105.02],[new Date(“2004-04-06”),105.898,105.90],[new Date(“2004-04-07”),105.430,105.43],[new Date(“2004-04-08”),106.156,106.16],[new Date(“2004-04-09”),106.383,106.38],[new Date(“2004-04-10”),106.198,106.20],[new Date(“2004-04-11”),106.198,106.20],[new Date(“2004-04-12”),105.563,105.56],[new Date(“2004-04-13”),106.494,106.49],[new Date(“2004-04-14”),108.347,108.35],[new Date(“2004-04-15”),108.511,108.51],[new Date(“2004-04-16”),107.996,108.00],[new Date(“2004-04-17”),108.141,108.14],[new Date(“2004-04-18”),108.141,108.14],[new Date(“2004-04-19”),108.257,108.26],[new Date(“2004-04-20”),108.290,108.29],[new Date(“2004-04-21”),109.543,109.54],[new Date(“2004-04-22”),109.626,109.63],[new Date(“2004-04-23”),109.145,109.15],[new Date(“2004-04-24”),109.027,109.03],[new Date(“2004-04-25”),109.027,109.03],[new Date(“2004-04-26”),108.699,108.70],[new Date(“2004-04-27”),109.568,109.57],[new Date(“2004-04-28”),109.672,109.67],[new Date(“2004-04-29”),110.204,110.20],[new Date(“2004-04-30″),110.366,110.37],]);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      109.0305
02      109.9527
↘0.922, 0.85%
03      110.1697
↘0.217, 0.20%
04      110.8424
↘0.673, 0.61%
05      111.5422
↘0.700, 0.63%
06      111.5603
↘0.018, 0.02%
07      111.5603
→0.000, 0.00%
08      111.7964
↘0.236, 0.21%
09      111.3269
↗0.470, 0.42%
10      110.8668
↗0.460, 0.41%
11      110.7969
↗0.070, 0.06%
12      111.0303
↘0.233, 0.21%
13      111.0719
↘0.042, 0.04%
14      111.0719
→0.000, 0.00%
15      110.5255
↗0.546, 0.49%
16      109.0064
↗1.519, 1.37%
17      108.2680
↗0.738, 0.68%
18      106.7879
↗1.480, 1.37%
19      106.8809
↘0.093, 0.09%
20      106.8291
↗0.052, 0.05%
21      106.8291
→0.000, 0.00%
22      106.8633
↘0.034, 0.03%
23      106.7595
↗0.104, 0.10%
24      106.2580
↗0.502, 0.47%
25      106.0804
↗0.178, 0.17%
26      105.8223
↗0.258, 0.24%
27      105.7838
↗0.038, 0.04%
28      105.7838
→0.000, 0.00%
29      105.5864
↗0.197, 0.19%
30      105.7004
↘0.114, 0.11%
31      104.1366
↗1.564, 1.48%
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”),109.030,109.03],[new Date(“2004-03-02”),109.953,109.95],[new Date(“2004-03-03”),110.170,110.17],[new Date(“2004-03-04”),110.842,110.84],[new Date(“2004-03-05”),111.542,111.54],[new Date(“2004-03-06”),111.560,111.56],[new Date(“2004-03-07”),111.560,111.56],[new Date(“2004-03-08”),111.796,111.80],[new Date(“2004-03-09”),111.327,111.33],[new Date(“2004-03-10”),110.867,110.87],[new Date(“2004-03-11”),110.797,110.80],[new Date(“2004-03-12”),111.030,111.03],[new Date(“2004-03-13”),111.072,111.07],[new Date(“2004-03-14”),111.072,111.07],[new Date(“2004-03-15”),110.526,110.53],[new Date(“2004-03-16”),109.006,109.01],[new Date(“2004-03-17”),108.268,108.27],[new Date(“2004-03-18”),106.788,106.79],[new Date(“2004-03-19”),106.881,106.88],[new Date(“2004-03-20”),106.829,106.83],[new Date(“2004-03-21”),106.829,106.83],[new Date(“2004-03-22”),106.863,106.86],[new Date(“2004-03-23”),106.759,106.76],[new Date(“2004-03-24”),106.258,106.26],[new Date(“2004-03-25”),106.080,106.08],[new Date(“2004-03-26”),105.822,105.82],[new Date(“2004-03-27”),105.784,105.78],[new Date(“2004-03-28”),105.784,105.78],[new Date(“2004-03-29”),105.586,105.59],[new Date(“2004-03-30”),105.700,105.70],[new Date(“2004-03-31″),104.137,104.14],]);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      105.7692
02      105.5916
↗0.178, 0.17%
03      105.4900
↗0.102, 0.10%
04      105.4504
↗0.040, 0.04%
05      105.6579
↘0.208, 0.20%
06      105.9224
↘0.265, 0.25%
07      106.0350
↘0.113, 0.11%
08      106.0350
→0.000, 0.00%
09      105.7168
↗0.318, 0.30%
10      105.4930
↗0.224, 0.21%
11      105.4413
↗0.052, 0.05%
12      105.4281
↗0.013, 0.01%
13      105.4474
↘0.019, 0.02%
14      105.3712
↗0.076, 0.07%
15      105.3712
→0.000, 0.00%
16      105.4682
↘0.097, 0.09%
17      105.6696
↘0.201, 0.19%
18      106.3123
↘0.643, 0.61%
19      107.0127
↘0.700, 0.66%
20      108.5421
↘1.529, 1.43%
21      108.4863
↗0.056, 0.05%
22      108.4863
→0.000, 0.00%
23      108.3712
↗0.115, 0.11%
24      108.2062
↗0.165, 0.15%
25      108.8879
↘0.682, 0.63%
26      109.6178
↘0.730, 0.67%
27      109.2165
↗0.401, 0.37%
28      109.1954
↗0.021, 0.02%
29      109.1954
→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”),105.769,105.77],[new Date(“2004-02-02”),105.592,105.59],[new Date(“2004-02-03”),105.490,105.49],[new Date(“2004-02-04”),105.450,105.45],[new Date(“2004-02-05”),105.658,105.66],[new Date(“2004-02-06”),105.922,105.92],[new Date(“2004-02-07”),106.035,106.03],[new Date(“2004-02-08”),106.035,106.03],[new Date(“2004-02-09”),105.717,105.72],[new Date(“2004-02-10”),105.493,105.49],[new Date(“2004-02-11”),105.441,105.44],[new Date(“2004-02-12”),105.428,105.43],[new Date(“2004-02-13”),105.447,105.45],[new Date(“2004-02-14”),105.371,105.37],[new Date(“2004-02-15”),105.371,105.37],[new Date(“2004-02-16”),105.468,105.47],[new Date(“2004-02-17”),105.670,105.67],[new Date(“2004-02-18”),106.312,106.31],[new Date(“2004-02-19”),107.013,107.01],[new Date(“2004-02-20”),108.542,108.54],[new Date(“2004-02-21”),108.486,108.49],[new Date(“2004-02-22”),108.486,108.49],[new Date(“2004-02-23”),108.371,108.37],[new Date(“2004-02-24”),108.206,108.21],[new Date(“2004-02-25”),108.888,108.89],[new Date(“2004-02-26”),109.618,109.62],[new Date(“2004-02-27”),109.216,109.22],[new Date(“2004-02-28”),109.195,109.20],[new Date(“2004-02-29″),109.195,109.20],]);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      107.2848
02      106.9522
↗0.333, 0.31%
03      106.9702
↘0.018, 0.02%
04      106.9702
→0.000, 0.00%
05      106.1614
↗0.809, 0.76%
06      106.1896
↘0.028, 0.03%
07      106.1834
↗0.006, 0.01%
08      106.1659
↗0.018, 0.02%
09      106.6317
↘0.466, 0.44%
10      106.6499
↘0.018, 0.02%
11      106.6499
→0.000, 0.00%
12      106.5421
↗0.108, 0.10%
13      106.2894
↗0.253, 0.24%
14      106.1208
↗0.169, 0.16%
15      106.1618
↘0.041, 0.04%
16      106.5530
↘0.391, 0.37%
17      106.4365
↗0.116, 0.11%
18      106.4365
→0.000, 0.00%
19      107.0887
↘0.652, 0.61%
20      107.1858
↘0.097, 0.09%
21      106.9311
↗0.255, 0.24%
22      106.2086
↗0.723, 0.68%
23      106.1682
↗0.040, 0.04%
24      106.2264
↘0.058, 0.05%
25      106.2264
→0.000, 0.00%
26      106.2090
↗0.017, 0.02%
27      105.6836
↗0.525, 0.49%
28      105.7979
↘0.114, 0.11%
29      105.9948
↘0.197, 0.19%
30      105.7973
↗0.197, 0.19%
31      105.7692
↗0.028, 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(“2004-01-01”),107.285,107.28],[new Date(“2004-01-02”),106.952,106.95],[new Date(“2004-01-03”),106.970,106.97],[new Date(“2004-01-04”),106.970,106.97],[new Date(“2004-01-05”),106.161,106.16],[new Date(“2004-01-06”),106.190,106.19],[new Date(“2004-01-07”),106.183,106.18],[new Date(“2004-01-08”),106.166,106.17],[new Date(“2004-01-09”),106.632,106.63],[new Date(“2004-01-10”),106.650,106.65],[new Date(“2004-01-11”),106.650,106.65],[new Date(“2004-01-12”),106.542,106.54],[new Date(“2004-01-13”),106.289,106.29],[new Date(“2004-01-14”),106.121,106.12],[new Date(“2004-01-15”),106.162,106.16],[new Date(“2004-01-16”),106.553,106.55],[new Date(“2004-01-17”),106.436,106.44],[new Date(“2004-01-18”),106.436,106.44],[new Date(“2004-01-19”),107.089,107.09],[new Date(“2004-01-20”),107.186,107.19],[new Date(“2004-01-21”),106.931,106.93],[new Date(“2004-01-22”),106.209,106.21],[new Date(“2004-01-23”),106.168,106.17],[new Date(“2004-01-24”),106.226,106.23],[new Date(“2004-01-25”),106.226,106.23],[new Date(“2004-01-26”),106.209,106.21],[new Date(“2004-01-27”),105.684,105.68],[new Date(“2004-01-28”),105.798,105.80],[new Date(“2004-01-29”),105.995,105.99],[new Date(“2004-01-30”),105.797,105.80],[new Date(“2004-01-31″),105.769,105.77],]);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);
}