Japanese Yen JPY 2005 Conversion Rates

  • Opening Value is 102.650216 JPY per Dollar
  • Closing Value is 117.833165 JPY per Dollar
  • Change in Value during 2005 is 15.1829 which is 14.79%
  • Best Performance is on 2005-01-17 with 102.036385 JPY per Dollar
  • Lowest Performance is on 2005-12-07 with 121.000679 JPY per Dollar
  • Average Value is 110.1275 JPY per Dollar
  • Swing Between the higest and the lowest is 18.9643 per Dollar, that is 18.47% compared to the opening value.

USD to JPY Conversion Rates – 12 months

Date 1 USD =
2005-12-31 117.8332 JPY
2005-11-30 119.7066 JPY
2005-10-31 116.2774 JPY
2005-09-30 113.3568 JPY
2005-08-31 111.0267 JPY
2005-07-31 112.3482 JPY
2005-06-30 110.8423 JPY
2005-05-31 108.2648 JPY
2005-04-30 104.9848 JPY
2005-03-31 107.0457 JPY
2005-02-28 104.2964 JPY
2005-01-31 103.5771 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(“2005-12-31”),117.833,117.83],[new Date(“2005-11-30”),119.707,119.71],[new Date(“2005-10-31”),116.277,116.28],[new Date(“2005-09-30”),113.357,113.36],[new Date(“2005-08-31”),111.027,111.03],[new Date(“2005-07-31”),112.348,112.35],[new Date(“2005-06-30”),110.842,110.84],[new Date(“2005-05-31”),108.265,108.26],[new Date(“2005-04-30”),104.985,104.98],[new Date(“2005-03-31”),107.046,107.05],[new Date(“2005-02-28”),104.296,104.30],[new Date(“2005-01-31”),103.577,103.58],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2005

01      120.4507
02      120.7098
↘0.259, 0.22%
03      120.6377
↗0.072, 0.06%
04      120.6377
→0.000, 0.00%
05      120.8227
↘0.185, 0.15%
06      120.8889
↘0.066, 0.05%
07      121.0007
↘0.112, 0.09%
08      120.3934
↗0.607, 0.50%
09      120.5580
↘0.165, 0.14%
10      120.5712
↘0.013, 0.01%
11      120.5712
→0.000, 0.00%
12      120.0040
↗0.567, 0.47%
13      120.1194
↘0.115, 0.10%
14      117.5887
↗2.531, 2.11%
15      116.2877
↗1.301, 1.11%
16      115.9210
↗0.367, 0.32%
17      115.9526
↘0.032, 0.03%
18      115.9526
→0.000, 0.00%
19      116.0972
↘0.145, 0.12%
20      116.8683
↘0.771, 0.66%
21      117.2634
↘0.395, 0.34%
22      116.8820
↗0.381, 0.33%
23      116.4459
↗0.436, 0.37%
24      116.4395
↗0.006, 0.01%
25      116.4395
→0.000, 0.00%
26      116.4348
↗0.005, 0.00%
27      117.1571
↘0.722, 0.62%
28      117.4866
↘0.329, 0.28%
29      117.8589
↘0.372, 0.32%
30      117.8512
↗0.008, 0.01%
31      117.8332
↗0.018, 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(“2005-12-01”),120.451,120.45],[new Date(“2005-12-02”),120.710,120.71],[new Date(“2005-12-03”),120.638,120.64],[new Date(“2005-12-04”),120.638,120.64],[new Date(“2005-12-05”),120.823,120.82],[new Date(“2005-12-06”),120.889,120.89],[new Date(“2005-12-07”),121.001,121.00],[new Date(“2005-12-08”),120.393,120.39],[new Date(“2005-12-09”),120.558,120.56],[new Date(“2005-12-10”),120.571,120.57],[new Date(“2005-12-11”),120.571,120.57],[new Date(“2005-12-12”),120.004,120.00],[new Date(“2005-12-13”),120.119,120.12],[new Date(“2005-12-14”),117.589,117.59],[new Date(“2005-12-15”),116.288,116.29],[new Date(“2005-12-16”),115.921,115.92],[new Date(“2005-12-17”),115.953,115.95],[new Date(“2005-12-18”),115.953,115.95],[new Date(“2005-12-19”),116.097,116.10],[new Date(“2005-12-20”),116.868,116.87],[new Date(“2005-12-21”),117.263,117.26],[new Date(“2005-12-22”),116.882,116.88],[new Date(“2005-12-23”),116.446,116.45],[new Date(“2005-12-24”),116.440,116.44],[new Date(“2005-12-25”),116.440,116.44],[new Date(“2005-12-26”),116.435,116.43],[new Date(“2005-12-27”),117.157,117.16],[new Date(“2005-12-28”),117.487,117.49],[new Date(“2005-12-29”),117.859,117.86],[new Date(“2005-12-30”),117.851,117.85],[new Date(“2005-12-31″),117.833,117.83],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2005

01      116.6260
02      116.8499
↘0.224, 0.19%
03      117.0704
↘0.220, 0.19%
04      118.0497
↘0.979, 0.84%
05      118.0014
↗0.048, 0.04%
06      118.0014
→0.000, 0.00%
07      117.6369
↗0.364, 0.31%
08      117.3745
↗0.262, 0.22%
09      117.4288
↘0.054, 0.05%
10      117.9328
↘0.504, 0.43%
11      118.0109
↘0.078, 0.07%
12      118.0196
↘0.009, 0.01%
13      118.0196
→0.000, 0.00%
14      118.7756
↘0.756, 0.64%
15      119.0565
↘0.281, 0.24%
16      119.2159
↘0.159, 0.13%
17      118.7369
↗0.479, 0.40%
18      119.2064
↘0.470, 0.40%
19      119.1976
↗0.009, 0.01%
20      119.1976
→0.000, 0.00%
21      118.9353
↗0.262, 0.22%
22      119.1406
↘0.205, 0.17%
23      118.7503
↗0.390, 0.33%
24      118.8245
↘0.074, 0.06%
25      119.5285
↘0.704, 0.59%
26      119.4828
↗0.046, 0.04%
27      119.4828
→0.000, 0.00%
28      119.1830
↗0.300, 0.25%
29      119.3988
↘0.216, 0.18%
30      119.7066
↘0.308, 0.26%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2005-11-01”),116.626,116.63],[new Date(“2005-11-02”),116.850,116.85],[new Date(“2005-11-03”),117.070,117.07],[new Date(“2005-11-04”),118.050,118.05],[new Date(“2005-11-05”),118.001,118.00],[new Date(“2005-11-06”),118.001,118.00],[new Date(“2005-11-07”),117.637,117.64],[new Date(“2005-11-08”),117.375,117.37],[new Date(“2005-11-09”),117.429,117.43],[new Date(“2005-11-10”),117.933,117.93],[new Date(“2005-11-11”),118.011,118.01],[new Date(“2005-11-12”),118.020,118.02],[new Date(“2005-11-13”),118.020,118.02],[new Date(“2005-11-14”),118.776,118.78],[new Date(“2005-11-15”),119.057,119.06],[new Date(“2005-11-16”),119.216,119.22],[new Date(“2005-11-17”),118.737,118.74],[new Date(“2005-11-18”),119.206,119.21],[new Date(“2005-11-19”),119.198,119.20],[new Date(“2005-11-20”),119.198,119.20],[new Date(“2005-11-21”),118.935,118.94],[new Date(“2005-11-22”),119.141,119.14],[new Date(“2005-11-23”),118.750,118.75],[new Date(“2005-11-24”),118.824,118.82],[new Date(“2005-11-25”),119.529,119.53],[new Date(“2005-11-26”),119.483,119.48],[new Date(“2005-11-27”),119.483,119.48],[new Date(“2005-11-28”),119.183,119.18],[new Date(“2005-11-29”),119.399,119.40],[new Date(“2005-11-30″),119.707,119.71],]);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_11’));
chart.draw(data, options);
}

October, 2005

01      113.3716
02      113.3716
→0.000, 0.00%
03      114.1024
↘0.731, 0.64%
04      114.2913
↘0.189, 0.17%
05      113.9041
↗0.387, 0.34%
06      113.5375
↗0.367, 0.32%
07      113.6838
↘0.146, 0.13%
08      113.6269
↗0.057, 0.05%
09      113.6269
→0.000, 0.00%
10      114.1491
↘0.522, 0.46%
11      114.2998
↘0.151, 0.13%
12      114.4132
↘0.113, 0.10%
13      114.7712
↘0.358, 0.31%
14      114.2706
↗0.501, 0.44%
15      114.3279
↘0.057, 0.05%
16      114.3279
→0.000, 0.00%
17      114.8381
↘0.510, 0.45%
18      115.7546
↘0.916, 0.80%
19      115.4716
↗0.283, 0.24%
20      115.5075
↘0.036, 0.03%
21      115.8004
↘0.293, 0.25%
22      115.7623
↗0.038, 0.03%
23      115.7623
→0.000, 0.00%
24      115.4685
↗0.294, 0.25%
25      115.0870
↗0.382, 0.33%
26      115.8202
↘0.733, 0.64%
27      115.3088
↗0.511, 0.44%
28      115.4977
↘0.189, 0.16%
29      115.4860
↗0.012, 0.01%
30      115.4860
→0.000, 0.00%
31      116.2774
↘0.791, 0.69%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2005-10-01”),113.372,113.37],[new Date(“2005-10-02”),113.372,113.37],[new Date(“2005-10-03”),114.102,114.10],[new Date(“2005-10-04”),114.291,114.29],[new Date(“2005-10-05”),113.904,113.90],[new Date(“2005-10-06”),113.537,113.54],[new Date(“2005-10-07”),113.684,113.68],[new Date(“2005-10-08”),113.627,113.63],[new Date(“2005-10-09”),113.627,113.63],[new Date(“2005-10-10”),114.149,114.15],[new Date(“2005-10-11”),114.300,114.30],[new Date(“2005-10-12”),114.413,114.41],[new Date(“2005-10-13”),114.771,114.77],[new Date(“2005-10-14”),114.271,114.27],[new Date(“2005-10-15”),114.328,114.33],[new Date(“2005-10-16”),114.328,114.33],[new Date(“2005-10-17”),114.838,114.84],[new Date(“2005-10-18”),115.755,115.75],[new Date(“2005-10-19”),115.472,115.47],[new Date(“2005-10-20”),115.508,115.51],[new Date(“2005-10-21”),115.800,115.80],[new Date(“2005-10-22”),115.762,115.76],[new Date(“2005-10-23”),115.762,115.76],[new Date(“2005-10-24”),115.468,115.47],[new Date(“2005-10-25”),115.087,115.09],[new Date(“2005-10-26”),115.820,115.82],[new Date(“2005-10-27”),115.309,115.31],[new Date(“2005-10-28”),115.498,115.50],[new Date(“2005-10-29”),115.486,115.49],[new Date(“2005-10-30”),115.486,115.49],[new Date(“2005-10-31″),116.277,116.28],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}

September, 2005

01      110.1837
02      109.7076
↗0.476, 0.43%
03      109.7025
↗0.005, 0.00%
04      109.7025
→0.000, 0.00%
05      109.1998
↗0.503, 0.46%
06      109.5770
↘0.377, 0.35%
07      110.0776
↘0.501, 0.46%
08      110.4953
↘0.418, 0.38%
09      109.8638
↗0.632, 0.57%
10      109.8929
↘0.029, 0.03%
11      109.8929
→0.000, 0.00%
12      109.9830
↘0.090, 0.08%
13      110.8096
↘0.827, 0.75%
14      110.1975
↗0.612, 0.55%
15      110.4994
↘0.302, 0.27%
16      111.1958
↘0.696, 0.63%
17      111.1190
↗0.077, 0.07%
18      111.1190
→0.000, 0.00%
19      111.4324
↘0.313, 0.28%
20      111.6040
↘0.172, 0.15%
21      111.2718
↗0.332, 0.30%
22      111.4755
↘0.204, 0.18%
23      111.9811
↘0.506, 0.45%
24      111.8920
↗0.089, 0.08%
25      111.8920
→0.000, 0.00%
26      112.3520
↘0.460, 0.41%
27      113.0472
↘0.695, 0.62%
28      113.1252
↘0.078, 0.07%
29      112.8949
↗0.230, 0.20%
30      113.3568
↘0.462, 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(“2005-09-01”),110.184,110.18],[new Date(“2005-09-02”),109.708,109.71],[new Date(“2005-09-03”),109.703,109.70],[new Date(“2005-09-04”),109.703,109.70],[new Date(“2005-09-05”),109.200,109.20],[new Date(“2005-09-06”),109.577,109.58],[new Date(“2005-09-07”),110.078,110.08],[new Date(“2005-09-08”),110.495,110.50],[new Date(“2005-09-09”),109.864,109.86],[new Date(“2005-09-10”),109.893,109.89],[new Date(“2005-09-11”),109.893,109.89],[new Date(“2005-09-12”),109.983,109.98],[new Date(“2005-09-13”),110.810,110.81],[new Date(“2005-09-14”),110.198,110.20],[new Date(“2005-09-15”),110.499,110.50],[new Date(“2005-09-16”),111.196,111.20],[new Date(“2005-09-17”),111.119,111.12],[new Date(“2005-09-18”),111.119,111.12],[new Date(“2005-09-19”),111.432,111.43],[new Date(“2005-09-20”),111.604,111.60],[new Date(“2005-09-21”),111.272,111.27],[new Date(“2005-09-22”),111.476,111.48],[new Date(“2005-09-23”),111.981,111.98],[new Date(“2005-09-24”),111.892,111.89],[new Date(“2005-09-25”),111.892,111.89],[new Date(“2005-09-26”),112.352,112.35],[new Date(“2005-09-27”),113.047,113.05],[new Date(“2005-09-28”),113.125,113.13],[new Date(“2005-09-29”),112.895,112.89],[new Date(“2005-09-30″),113.357,113.36],]);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, 2005

01      112.0139
02      111.3595
↗0.654, 0.58%
03      111.0835
↗0.276, 0.25%
04      111.3119
↘0.228, 0.21%
05      111.8560
↘0.544, 0.49%
06      111.7829
↗0.073, 0.07%
07      111.7829
→0.000, 0.00%
08      111.8538
↘0.071, 0.06%
09      112.0600
↘0.206, 0.18%
10      110.7744
↗1.286, 1.15%
11      110.0303
↗0.744, 0.67%
12      109.4603
↗0.570, 0.52%
13      109.4088
↗0.051, 0.05%
14      109.4088
→0.000, 0.00%
15      109.4033
↗0.006, 0.01%
16      109.4180
↘0.015, 0.01%
17      109.7499
↘0.332, 0.30%
18      110.4901
↘0.740, 0.67%
19      110.4790
↗0.011, 0.01%
20      110.4282
↗0.051, 0.05%
21      110.4282
→0.000, 0.00%
22      109.6448
↗0.783, 0.71%
23      109.9006
↘0.256, 0.23%
24      110.2649
↘0.364, 0.33%
25      109.9494
↗0.316, 0.29%
26      109.8645
↗0.085, 0.08%
27      109.7514
↗0.113, 0.10%
28      109.7514
→0.000, 0.00%
29      110.5197
↘0.768, 0.70%
30      111.4208
↘0.901, 0.82%
31      111.0267
↗0.394, 0.35%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2005-08-01”),112.014,112.01],[new Date(“2005-08-02”),111.360,111.36],[new Date(“2005-08-03”),111.083,111.08],[new Date(“2005-08-04”),111.312,111.31],[new Date(“2005-08-05”),111.856,111.86],[new Date(“2005-08-06”),111.783,111.78],[new Date(“2005-08-07”),111.783,111.78],[new Date(“2005-08-08”),111.854,111.85],[new Date(“2005-08-09”),112.060,112.06],[new Date(“2005-08-10”),110.774,110.77],[new Date(“2005-08-11”),110.030,110.03],[new Date(“2005-08-12”),109.460,109.46],[new Date(“2005-08-13”),109.409,109.41],[new Date(“2005-08-14”),109.409,109.41],[new Date(“2005-08-15”),109.403,109.40],[new Date(“2005-08-16”),109.418,109.42],[new Date(“2005-08-17”),109.750,109.75],[new Date(“2005-08-18”),110.490,110.49],[new Date(“2005-08-19”),110.479,110.48],[new Date(“2005-08-20”),110.428,110.43],[new Date(“2005-08-21”),110.428,110.43],[new Date(“2005-08-22”),109.645,109.64],[new Date(“2005-08-23”),109.901,109.90],[new Date(“2005-08-24”),110.265,110.26],[new Date(“2005-08-25”),109.949,109.95],[new Date(“2005-08-26”),109.865,109.86],[new Date(“2005-08-27”),109.751,109.75],[new Date(“2005-08-28”),109.751,109.75],[new Date(“2005-08-29”),110.520,110.52],[new Date(“2005-08-30”),111.421,111.42],[new Date(“2005-08-31″),111.027,111.03],]);var options = {
hAxis: {
title: ‘Date’
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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_8’));
chart.draw(data, options);
}

July, 2005

01      111.4574
02      111.3779
↗0.079, 0.07%
03      111.3779
→0.000, 0.00%
04      111.5876
↘0.210, 0.19%
05      111.7761
↘0.189, 0.17%
06      112.0266
↘0.250, 0.22%
07      111.9191
↗0.108, 0.10%
08      112.2815
↘0.362, 0.32%
09      112.3331
↘0.052, 0.05%
10      112.3331
→0.000, 0.00%
11      111.8517
↗0.481, 0.43%
12      111.0338
↗0.818, 0.73%
13      111.7884
↘0.755, 0.68%
14      112.1645
↘0.376, 0.34%
15      112.2087
↘0.044, 0.04%
16      112.1653
↗0.043, 0.04%
17      112.1653
→0.000, 0.00%
18      111.9287
↗0.237, 0.21%
19      112.8349
↘0.906, 0.81%
20      113.0591
↘0.224, 0.20%
21      110.5727
↗2.486, 2.20%
22      111.1342
↘0.561, 0.51%
23      111.1781
↘0.044, 0.04%
24      111.1781
→0.000, 0.00%
25      111.6192
↘0.441, 0.40%
26      112.3390
↘0.720, 0.64%
27      112.3671
↘0.028, 0.03%
28      112.2747
↗0.092, 0.08%
29      112.3464
↘0.072, 0.06%
30      112.3482
↘0.002, 0.00%
31      112.3482
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2005-07-01”),111.457,111.46],[new Date(“2005-07-02”),111.378,111.38],[new Date(“2005-07-03”),111.378,111.38],[new Date(“2005-07-04”),111.588,111.59],[new Date(“2005-07-05”),111.776,111.78],[new Date(“2005-07-06”),112.027,112.03],[new Date(“2005-07-07”),111.919,111.92],[new Date(“2005-07-08”),112.281,112.28],[new Date(“2005-07-09”),112.333,112.33],[new Date(“2005-07-10”),112.333,112.33],[new Date(“2005-07-11”),111.852,111.85],[new Date(“2005-07-12”),111.034,111.03],[new Date(“2005-07-13”),111.788,111.79],[new Date(“2005-07-14”),112.165,112.16],[new Date(“2005-07-15”),112.209,112.21],[new Date(“2005-07-16”),112.165,112.17],[new Date(“2005-07-17”),112.165,112.17],[new Date(“2005-07-18”),111.929,111.93],[new Date(“2005-07-19”),112.835,112.83],[new Date(“2005-07-20”),113.059,113.06],[new Date(“2005-07-21”),110.573,110.57],[new Date(“2005-07-22”),111.134,111.13],[new Date(“2005-07-23”),111.178,111.18],[new Date(“2005-07-24”),111.178,111.18],[new Date(“2005-07-25”),111.619,111.62],[new Date(“2005-07-26”),112.339,112.34],[new Date(“2005-07-27”),112.367,112.37],[new Date(“2005-07-28”),112.275,112.27],[new Date(“2005-07-29”),112.346,112.35],[new Date(“2005-07-30”),112.348,112.35],[new Date(“2005-07-31″),112.348,112.35],]);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, 2005

01      108.6129
02      108.2361
↗0.377, 0.35%
03      107.8485
↗0.388, 0.36%
04      107.8468
↗0.002, 0.00%
05      107.8468
→0.000, 0.00%
06      106.9497
↗0.897, 0.83%
07      106.6605
↗0.289, 0.27%
08      107.0111
↘0.351, 0.33%
09      107.4309
↘0.420, 0.39%
10      108.1191
↘0.688, 0.64%
11      107.9805
↗0.139, 0.13%
12      107.9805
→0.000, 0.00%
13      109.4308
↘1.450, 1.34%
14      109.3432
↗0.088, 0.08%
15      109.3391
↗0.004, 0.00%
16      109.0645
↗0.275, 0.25%
17      108.7502
↗0.314, 0.29%
18      108.7236
↗0.027, 0.02%
19      108.7236
→0.000, 0.00%
20      109.2609
↘0.537, 0.49%
21      108.7151
↗0.546, 0.50%
22      108.8172
↘0.102, 0.09%
23      108.7020
↗0.115, 0.11%
24      109.1795
↘0.478, 0.44%
25      109.1609
↗0.019, 0.02%
26      109.1609
→0.000, 0.00%
27      109.3051
↘0.144, 0.13%
28      109.8917
↘0.587, 0.54%
29      110.3591
↘0.467, 0.43%
30      110.8423
↘0.483, 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”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2005-06-01”),108.613,108.61],[new Date(“2005-06-02”),108.236,108.24],[new Date(“2005-06-03”),107.848,107.85],[new Date(“2005-06-04”),107.847,107.85],[new Date(“2005-06-05”),107.847,107.85],[new Date(“2005-06-06”),106.950,106.95],[new Date(“2005-06-07”),106.661,106.66],[new Date(“2005-06-08”),107.011,107.01],[new Date(“2005-06-09”),107.431,107.43],[new Date(“2005-06-10”),108.119,108.12],[new Date(“2005-06-11”),107.981,107.98],[new Date(“2005-06-12”),107.981,107.98],[new Date(“2005-06-13”),109.431,109.43],[new Date(“2005-06-14”),109.343,109.34],[new Date(“2005-06-15”),109.339,109.34],[new Date(“2005-06-16”),109.064,109.06],[new Date(“2005-06-17”),108.750,108.75],[new Date(“2005-06-18”),108.724,108.72],[new Date(“2005-06-19”),108.724,108.72],[new Date(“2005-06-20”),109.261,109.26],[new Date(“2005-06-21”),108.715,108.72],[new Date(“2005-06-22”),108.817,108.82],[new Date(“2005-06-23”),108.702,108.70],[new Date(“2005-06-24”),109.180,109.18],[new Date(“2005-06-25”),109.161,109.16],[new Date(“2005-06-26”),109.161,109.16],[new Date(“2005-06-27”),109.305,109.31],[new Date(“2005-06-28”),109.892,109.89],[new Date(“2005-06-29”),110.359,110.36],[new Date(“2005-06-30″),110.842,110.84],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2005

01      104.9848
02      105.1523
↘0.167, 0.16%
03      105.1471
↗0.005, 0.00%
04      104.5186
↗0.629, 0.60%
05      104.4272
↗0.091, 0.09%
06      104.8988
↘0.472, 0.45%
07      104.8757
↗0.023, 0.02%
08      104.8757
→0.000, 0.00%
09      105.5834
↘0.708, 0.67%
10      105.6012
↘0.018, 0.02%
11      105.5838
↗0.017, 0.02%
12      106.5198
↘0.936, 0.89%
13      107.1587
↘0.639, 0.60%
14      107.1502
↗0.008, 0.01%
15      107.1502
→0.000, 0.00%
16      107.1657
↘0.015, 0.01%
17      107.3098
↘0.144, 0.13%
18      107.0722
↗0.238, 0.22%
19      107.4249
↘0.353, 0.33%
20      108.0363
↘0.611, 0.57%
21      107.9844
↗0.052, 0.05%
22      107.9844
→0.000, 0.00%
23      107.7724
↗0.212, 0.20%
24      107.4332
↗0.339, 0.31%
25      107.7050
↘0.272, 0.25%
26      108.0757
↘0.371, 0.34%
27      107.8650
↗0.211, 0.19%
28      107.8838
↘0.019, 0.02%
29      107.8838
→0.000, 0.00%
30      107.9748
↘0.091, 0.08%
31      108.2648
↘0.290, 0.27%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2005-05-01”),104.985,104.98],[new Date(“2005-05-02”),105.152,105.15],[new Date(“2005-05-03”),105.147,105.15],[new Date(“2005-05-04”),104.519,104.52],[new Date(“2005-05-05”),104.427,104.43],[new Date(“2005-05-06”),104.899,104.90],[new Date(“2005-05-07”),104.876,104.88],[new Date(“2005-05-08”),104.876,104.88],[new Date(“2005-05-09”),105.583,105.58],[new Date(“2005-05-10”),105.601,105.60],[new Date(“2005-05-11”),105.584,105.58],[new Date(“2005-05-12”),106.520,106.52],[new Date(“2005-05-13”),107.159,107.16],[new Date(“2005-05-14”),107.150,107.15],[new Date(“2005-05-15”),107.150,107.15],[new Date(“2005-05-16”),107.166,107.17],[new Date(“2005-05-17”),107.310,107.31],[new Date(“2005-05-18”),107.072,107.07],[new Date(“2005-05-19”),107.425,107.42],[new Date(“2005-05-20”),108.036,108.04],[new Date(“2005-05-21”),107.984,107.98],[new Date(“2005-05-22”),107.984,107.98],[new Date(“2005-05-23”),107.772,107.77],[new Date(“2005-05-24”),107.433,107.43],[new Date(“2005-05-25”),107.705,107.71],[new Date(“2005-05-26”),108.076,108.08],[new Date(“2005-05-27”),107.865,107.87],[new Date(“2005-05-28”),107.884,107.88],[new Date(“2005-05-29”),107.884,107.88],[new Date(“2005-05-30”),107.975,107.97],[new Date(“2005-05-31″),108.265,108.26],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2005

01      107.4793
02      107.4616
↗0.018, 0.02%
03      107.4616
→0.000, 0.00%
04      108.1650
↘0.703, 0.65%
05      108.3981
↘0.233, 0.22%
06      108.6455
↘0.247, 0.23%
07      108.4269
↗0.219, 0.20%
08      108.4847
↘0.058, 0.05%
09      108.5670
↘0.082, 0.08%
10      108.5670
→0.000, 0.00%
11      107.7528
↗0.814, 0.75%
12      107.9532
↘0.200, 0.19%
13      107.3654
↗0.588, 0.54%
14      108.1498
↘0.784, 0.73%
15      107.8993
↗0.251, 0.23%
16      108.0951
↘0.196, 0.18%
17      108.0951
→0.000, 0.00%
18      107.5401
↗0.555, 0.51%
19      107.0640
↗0.476, 0.44%
20      106.8590
↗0.205, 0.19%
21      107.0650
↘0.206, 0.19%
22      106.0792
↗0.986, 0.92%
23      106.1537
↘0.075, 0.07%
24      106.1537
→0.000, 0.00%
25      105.7296
↗0.424, 0.40%
26      105.9946
↘0.265, 0.25%
27      106.0240
↘0.029, 0.03%
28      105.9617
↗0.062, 0.06%
29      104.9056
↗1.056, 1.00%
30      104.9848
↘0.079, 0.08%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2005-04-01”),107.479,107.48],[new Date(“2005-04-02”),107.462,107.46],[new Date(“2005-04-03”),107.462,107.46],[new Date(“2005-04-04”),108.165,108.16],[new Date(“2005-04-05”),108.398,108.40],[new Date(“2005-04-06”),108.645,108.65],[new Date(“2005-04-07”),108.427,108.43],[new Date(“2005-04-08”),108.485,108.48],[new Date(“2005-04-09”),108.567,108.57],[new Date(“2005-04-10”),108.567,108.57],[new Date(“2005-04-11”),107.753,107.75],[new Date(“2005-04-12”),107.953,107.95],[new Date(“2005-04-13”),107.365,107.37],[new Date(“2005-04-14”),108.150,108.15],[new Date(“2005-04-15”),107.899,107.90],[new Date(“2005-04-16”),108.095,108.10],[new Date(“2005-04-17”),108.095,108.10],[new Date(“2005-04-18”),107.540,107.54],[new Date(“2005-04-19”),107.064,107.06],[new Date(“2005-04-20”),106.859,106.86],[new Date(“2005-04-21”),107.065,107.06],[new Date(“2005-04-22”),106.079,106.08],[new Date(“2005-04-23”),106.154,106.15],[new Date(“2005-04-24”),106.154,106.15],[new Date(“2005-04-25”),105.730,105.73],[new Date(“2005-04-26”),105.995,105.99],[new Date(“2005-04-27”),106.024,106.02],[new Date(“2005-04-28”),105.962,105.96],[new Date(“2005-04-29”),104.906,104.91],[new Date(“2005-04-30″),104.985,104.98],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2005

01      104.3406
02      104.7371
↘0.396, 0.38%
03      104.9275
↘0.190, 0.18%
04      104.8724
↗0.055, 0.05%
05      104.8750
↘0.003, 0.00%
06      104.8750
→0.000, 0.00%
07      105.1079
↘0.233, 0.22%
08      104.6789
↗0.429, 0.41%
09      104.0791
↗0.600, 0.57%
10      104.1459
↘0.067, 0.06%
11      104.0196
↗0.126, 0.12%
12      104.1912
↘0.172, 0.16%
13      104.1912
→0.000, 0.00%
14      104.8192
↘0.628, 0.60%
15      104.4504
↗0.369, 0.35%
16      104.1747
↗0.276, 0.26%
17      104.4920
↘0.317, 0.30%
18      104.7802
↘0.288, 0.28%
19      104.7833
↘0.003, 0.00%
20      104.7833
→0.000, 0.00%
21      105.1950
↘0.412, 0.39%
22      105.2438
↘0.049, 0.05%
23      105.7728
↘0.529, 0.50%
24      106.3926
↘0.620, 0.59%
25      106.3541
↗0.038, 0.04%
26      106.3522
↗0.002, 0.00%
27      106.3522
→0.000, 0.00%
28      107.0622
↘0.710, 0.67%
29      107.4203
↘0.358, 0.33%
30      107.4688
↘0.049, 0.05%
31      107.0457
↗0.423, 0.39%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2005-03-01”),104.341,104.34],[new Date(“2005-03-02”),104.737,104.74],[new Date(“2005-03-03”),104.927,104.93],[new Date(“2005-03-04”),104.872,104.87],[new Date(“2005-03-05”),104.875,104.87],[new Date(“2005-03-06”),104.875,104.87],[new Date(“2005-03-07”),105.108,105.11],[new Date(“2005-03-08”),104.679,104.68],[new Date(“2005-03-09”),104.079,104.08],[new Date(“2005-03-10”),104.146,104.15],[new Date(“2005-03-11”),104.020,104.02],[new Date(“2005-03-12”),104.191,104.19],[new Date(“2005-03-13”),104.191,104.19],[new Date(“2005-03-14”),104.819,104.82],[new Date(“2005-03-15”),104.450,104.45],[new Date(“2005-03-16”),104.175,104.17],[new Date(“2005-03-17”),104.492,104.49],[new Date(“2005-03-18”),104.780,104.78],[new Date(“2005-03-19”),104.783,104.78],[new Date(“2005-03-20”),104.783,104.78],[new Date(“2005-03-21”),105.195,105.19],[new Date(“2005-03-22”),105.244,105.24],[new Date(“2005-03-23”),105.773,105.77],[new Date(“2005-03-24”),106.393,106.39],[new Date(“2005-03-25”),106.354,106.35],[new Date(“2005-03-26”),106.352,106.35],[new Date(“2005-03-27”),106.352,106.35],[new Date(“2005-03-28”),107.062,107.06],[new Date(“2005-03-29”),107.420,107.42],[new Date(“2005-03-30”),107.469,107.47],[new Date(“2005-03-31″),107.046,107.05],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2005

01      103.7410
02      103.7684
↘0.027, 0.03%
03      104.4217
↘0.653, 0.63%
04      103.9169
↗0.505, 0.48%
05      104.0086
↘0.092, 0.09%
06      104.0086
→0.000, 0.00%
07      104.5852
↘0.577, 0.55%
08      105.6543
↘1.069, 1.02%
09      105.7430
↘0.089, 0.08%
10      105.9987
↘0.256, 0.24%
11      105.8064
↗0.192, 0.18%
12      105.7946
↗0.012, 0.01%
13      105.7946
→0.000, 0.00%
14      105.0625
↗0.732, 0.69%
15      104.5766
↗0.486, 0.46%
16      105.2973
↘0.721, 0.69%
17      105.5721
↘0.275, 0.26%
18      105.6168
↘0.045, 0.04%
19      105.5746
↗0.042, 0.04%
20      105.5746
→0.000, 0.00%
21      105.5308
↗0.044, 0.04%
22      104.1278
↗1.403, 1.33%
23      104.8687
↘0.741, 0.71%
24      105.2040
↘0.335, 0.32%
25      105.2711
↘0.067, 0.06%
26      105.2690
↗0.002, 0.00%
27      105.2690
→0.000, 0.00%
28      104.2964
↗0.973, 0.92%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2005-02-01”),103.741,103.74],[new Date(“2005-02-02”),103.768,103.77],[new Date(“2005-02-03”),104.422,104.42],[new Date(“2005-02-04”),103.917,103.92],[new Date(“2005-02-05”),104.009,104.01],[new Date(“2005-02-06”),104.009,104.01],[new Date(“2005-02-07”),104.585,104.59],[new Date(“2005-02-08”),105.654,105.65],[new Date(“2005-02-09”),105.743,105.74],[new Date(“2005-02-10”),105.999,106.00],[new Date(“2005-02-11”),105.806,105.81],[new Date(“2005-02-12”),105.795,105.79],[new Date(“2005-02-13”),105.795,105.79],[new Date(“2005-02-14”),105.063,105.06],[new Date(“2005-02-15”),104.577,104.58],[new Date(“2005-02-16”),105.297,105.30],[new Date(“2005-02-17”),105.572,105.57],[new Date(“2005-02-18”),105.617,105.62],[new Date(“2005-02-19”),105.575,105.57],[new Date(“2005-02-20”),105.575,105.57],[new Date(“2005-02-21”),105.531,105.53],[new Date(“2005-02-22”),104.128,104.13],[new Date(“2005-02-23”),104.869,104.87],[new Date(“2005-02-24”),105.204,105.20],[new Date(“2005-02-25”),105.271,105.27],[new Date(“2005-02-26”),105.269,105.27],[new Date(“2005-02-27”),105.269,105.27],[new Date(“2005-02-28″),104.296,104.30],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2005

01      102.6502
02      102.6502
→0.000, 0.00%
03      102.7604
↘0.110, 0.11%
04      104.1147
↘1.354, 1.32%
05      104.1812
↘0.067, 0.06%
06      104.9002
↘0.719, 0.69%
07      104.7918
↗0.108, 0.10%
08      104.7064
↗0.085, 0.08%
09      104.7064
→0.000, 0.00%
10      104.2958
↗0.411, 0.39%
11      103.5994
↗0.696, 0.67%
12      102.6112
↗0.988, 0.95%
13      102.5306
↗0.081, 0.08%
14      102.3289
↗0.202, 0.20%
15      102.2708
↗0.058, 0.06%
16      102.2708
→0.000, 0.00%
17      102.0364
↗0.234, 0.23%
18      102.4429
↘0.407, 0.40%
19      102.6105
↘0.168, 0.16%
20      103.2172
↘0.607, 0.59%
21      103.1714
↗0.046, 0.04%
22      103.2517
↘0.080, 0.08%
23      103.2517
→0.000, 0.00%
24      102.7228
↗0.529, 0.51%
25      103.9563
↘1.233, 1.20%
26      103.1253
↗0.831, 0.80%
27      103.2371
↘0.112, 0.11%
28      103.3818
↘0.145, 0.14%
29      103.3176
↗0.064, 0.06%
30      103.3176
→0.000, 0.00%
31      103.5771
↘0.259, 0.25%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2005-01-01”),102.650,102.65],[new Date(“2005-01-02”),102.650,102.65],[new Date(“2005-01-03”),102.760,102.76],[new Date(“2005-01-04”),104.115,104.11],[new Date(“2005-01-05”),104.181,104.18],[new Date(“2005-01-06”),104.900,104.90],[new Date(“2005-01-07”),104.792,104.79],[new Date(“2005-01-08”),104.706,104.71],[new Date(“2005-01-09”),104.706,104.71],[new Date(“2005-01-10”),104.296,104.30],[new Date(“2005-01-11”),103.599,103.60],[new Date(“2005-01-12”),102.611,102.61],[new Date(“2005-01-13”),102.531,102.53],[new Date(“2005-01-14”),102.329,102.33],[new Date(“2005-01-15”),102.271,102.27],[new Date(“2005-01-16”),102.271,102.27],[new Date(“2005-01-17”),102.036,102.04],[new Date(“2005-01-18”),102.443,102.44],[new Date(“2005-01-19”),102.610,102.61],[new Date(“2005-01-20”),103.217,103.22],[new Date(“2005-01-21”),103.171,103.17],[new Date(“2005-01-22”),103.252,103.25],[new Date(“2005-01-23”),103.252,103.25],[new Date(“2005-01-24”),102.723,102.72],[new Date(“2005-01-25”),103.956,103.96],[new Date(“2005-01-26”),103.125,103.13],[new Date(“2005-01-27”),103.237,103.24],[new Date(“2005-01-28”),103.382,103.38],[new Date(“2005-01-29”),103.318,103.32],[new Date(“2005-01-30”),103.318,103.32],[new Date(“2005-01-31″),103.577,103.58],]);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);
}