Japanese Yen JPY 2006 Conversion Rates

  • Opening Value is 117.833165 JPY per Dollar
  • Closing Value is 118.961013 JPY per Dollar
  • Change in Value during 2006 is 1.1278 which is 0.96%
  • Best Performance is on 2006-05-13,2006-05-14 with 109.826340 JPY per Dollar
  • Lowest Performance is on 2006-10-11 with 119.603456 JPY per Dollar
  • Average Value is 116.3297 JPY per Dollar
  • Swing Between the higest and the lowest is 9.7771 per Dollar, that is 8.30% compared to the opening value.

USD to JPY Conversion Rates – 12 months

Date 1 USD =
2006-12-31 118.9610 JPY
2006-11-30 115.8401 JPY
2006-10-31 117.2339 JPY
2006-09-30 118.0338 JPY
2006-08-31 117.2855 JPY
2006-07-31 114.4187 JPY
2006-06-30 114.5321 JPY
2006-05-31 112.3462 JPY
2006-04-30 114.0103 JPY
2006-03-31 117.6384 JPY
2006-02-28 115.9892 JPY
2006-01-31 117.1972 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(“2006-12-31”),118.961,118.96],[new Date(“2006-11-30”),115.840,115.84],[new Date(“2006-10-31”),117.234,117.23],[new Date(“2006-09-30”),118.034,118.03],[new Date(“2006-08-31”),117.286,117.29],[new Date(“2006-07-31”),114.419,114.42],[new Date(“2006-06-30”),114.532,114.53],[new Date(“2006-05-31”),112.346,112.35],[new Date(“2006-04-30”),114.010,114.01],[new Date(“2006-03-31”),117.638,117.64],[new Date(“2006-02-28”),115.989,115.99],[new Date(“2006-01-31”),117.197,117.20],]);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, 2006

01      115.6237
02      115.7295
↘0.106, 0.09%
03      115.7295
→0.000, 0.00%
04      115.4624
↗0.267, 0.23%
05      114.7695
↗0.693, 0.60%
06      115.1026
↘0.333, 0.29%
07      115.1256
↘0.023, 0.02%
08      116.0638
↘0.938, 0.81%
09      116.0379
↗0.026, 0.02%
10      116.0379
→0.000, 0.00%
11      117.0024
↘0.965, 0.83%
12      117.0014
↗0.001, 0.00%
13      117.3448
↘0.343, 0.29%
14      117.6665
↘0.322, 0.27%
15      118.1115
↘0.445, 0.38%
16      118.2292
↘0.118, 0.10%
17      118.2292
→0.000, 0.00%
18      118.0343
↗0.195, 0.16%
19      118.0687
↘0.034, 0.03%
20      118.2860
↘0.217, 0.18%
21      118.2891
↘0.003, 0.00%
22      118.7221
↘0.433, 0.37%
23      118.6077
↗0.114, 0.10%
24      118.6077
→0.000, 0.00%
25      118.7039
↘0.096, 0.08%
26      118.8859
↘0.182, 0.15%
27      118.6929
↗0.193, 0.16%
28      118.8983
↘0.205, 0.17%
29      119.0520
↘0.154, 0.13%
30      118.9610
↗0.091, 0.08%
31      118.9610
→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(“2006-12-01”),115.624,115.62],[new Date(“2006-12-02”),115.729,115.73],[new Date(“2006-12-03”),115.729,115.73],[new Date(“2006-12-04”),115.462,115.46],[new Date(“2006-12-05”),114.769,114.77],[new Date(“2006-12-06”),115.103,115.10],[new Date(“2006-12-07”),115.126,115.13],[new Date(“2006-12-08”),116.064,116.06],[new Date(“2006-12-09”),116.038,116.04],[new Date(“2006-12-10”),116.038,116.04],[new Date(“2006-12-11”),117.002,117.00],[new Date(“2006-12-12”),117.001,117.00],[new Date(“2006-12-13”),117.345,117.34],[new Date(“2006-12-14”),117.667,117.67],[new Date(“2006-12-15”),118.112,118.11],[new Date(“2006-12-16”),118.229,118.23],[new Date(“2006-12-17”),118.229,118.23],[new Date(“2006-12-18”),118.034,118.03],[new Date(“2006-12-19”),118.069,118.07],[new Date(“2006-12-20”),118.286,118.29],[new Date(“2006-12-21”),118.289,118.29],[new Date(“2006-12-22”),118.722,118.72],[new Date(“2006-12-23”),118.608,118.61],[new Date(“2006-12-24”),118.608,118.61],[new Date(“2006-12-25”),118.704,118.70],[new Date(“2006-12-26”),118.886,118.89],[new Date(“2006-12-27”),118.693,118.69],[new Date(“2006-12-28”),118.898,118.90],[new Date(“2006-12-29”),119.052,119.05],[new Date(“2006-12-30”),118.961,118.96],[new Date(“2006-12-31″),118.961,118.96],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
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, 2006

01      116.9914
02      117.0856
↘0.094, 0.08%
03      117.7399
↘0.654, 0.56%
04      117.6325
↗0.107, 0.09%
05      117.6325
→0.000, 0.00%
06      118.3706
↘0.738, 0.63%
07      117.7087
↗0.662, 0.56%
08      117.7144
↘0.006, 0.00%
09      118.0173
↘0.303, 0.26%
10      117.5402
↗0.477, 0.40%
11      117.5667
↘0.027, 0.02%
12      117.5667
→0.000, 0.00%
13      118.0441
↘0.477, 0.41%
14      117.6250
↗0.419, 0.36%
15      118.0526
↘0.428, 0.36%
16      118.1225
↘0.070, 0.06%
17      117.9934
↗0.129, 0.11%
18      118.0915
↘0.098, 0.08%
19      118.0915
→0.000, 0.00%
20      118.0874
↗0.004, 0.00%
21      117.9588
↗0.129, 0.11%
22      116.8072
↗1.152, 0.98%
23      116.3330
↗0.474, 0.41%
24      115.8179
↗0.515, 0.44%
25      115.7654
↗0.053, 0.05%
26      115.7654
→0.000, 0.00%
27      116.0907
↘0.325, 0.28%
28      116.2087
↘0.118, 0.10%
29      116.3241
↘0.115, 0.10%
30      115.8401
↗0.484, 0.42%
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(“2006-11-01”),116.991,116.99],[new Date(“2006-11-02”),117.086,117.09],[new Date(“2006-11-03”),117.740,117.74],[new Date(“2006-11-04”),117.633,117.63],[new Date(“2006-11-05”),117.633,117.63],[new Date(“2006-11-06”),118.371,118.37],[new Date(“2006-11-07”),117.709,117.71],[new Date(“2006-11-08”),117.714,117.71],[new Date(“2006-11-09”),118.017,118.02],[new Date(“2006-11-10”),117.540,117.54],[new Date(“2006-11-11”),117.567,117.57],[new Date(“2006-11-12”),117.567,117.57],[new Date(“2006-11-13”),118.044,118.04],[new Date(“2006-11-14”),117.625,117.62],[new Date(“2006-11-15”),118.053,118.05],[new Date(“2006-11-16”),118.122,118.12],[new Date(“2006-11-17”),117.993,117.99],[new Date(“2006-11-18”),118.092,118.09],[new Date(“2006-11-19”),118.092,118.09],[new Date(“2006-11-20”),118.087,118.09],[new Date(“2006-11-21”),117.959,117.96],[new Date(“2006-11-22”),116.807,116.81],[new Date(“2006-11-23”),116.333,116.33],[new Date(“2006-11-24”),115.818,115.82],[new Date(“2006-11-25”),115.765,115.77],[new Date(“2006-11-26”),115.765,115.77],[new Date(“2006-11-27”),116.091,116.09],[new Date(“2006-11-28”),116.209,116.21],[new Date(“2006-11-29”),116.324,116.32],[new Date(“2006-11-30″),115.840,115.84],]);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_11’));
chart.draw(data, options);
}

October, 2006

01      118.0338
02      117.8690
↗0.165, 0.14%
03      117.7985
↗0.070, 0.06%
04      117.9952
↘0.197, 0.17%
05      117.6018
↗0.393, 0.33%
06      118.5749
↘0.973, 0.83%
07      118.5021
↗0.073, 0.06%
08      118.5021
→0.000, 0.00%
09      119.0984
↘0.596, 0.50%
10      119.5970
↘0.499, 0.42%
11      119.6035
↘0.006, 0.01%
12      119.5180
↗0.085, 0.07%
13      119.5793
↘0.061, 0.05%
14      119.5130
↗0.066, 0.06%
15      119.5130
→0.000, 0.00%
16      119.1652
↗0.348, 0.29%
17      118.7020
↗0.463, 0.39%
18      118.8635
↘0.161, 0.14%
19      118.4002
↗0.463, 0.39%
20      118.5422
↘0.142, 0.12%
21      118.4836
↗0.059, 0.05%
22      118.4836
→0.000, 0.00%
23      119.2738
↘0.790, 0.67%
24      119.3813
↘0.107, 0.09%
25      119.0851
↗0.296, 0.25%
26      118.6226
↗0.463, 0.39%
27      117.9290
↗0.694, 0.58%
28      118.0326
↘0.104, 0.09%
29      118.0326
→0.000, 0.00%
30      117.3639
↗0.669, 0.57%
31      117.2339
↗0.130, 0.11%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2006-10-01”),118.034,118.03],[new Date(“2006-10-02”),117.869,117.87],[new Date(“2006-10-03”),117.799,117.80],[new Date(“2006-10-04”),117.995,118.00],[new Date(“2006-10-05”),117.602,117.60],[new Date(“2006-10-06”),118.575,118.57],[new Date(“2006-10-07”),118.502,118.50],[new Date(“2006-10-08”),118.502,118.50],[new Date(“2006-10-09”),119.098,119.10],[new Date(“2006-10-10”),119.597,119.60],[new Date(“2006-10-11”),119.603,119.60],[new Date(“2006-10-12”),119.518,119.52],[new Date(“2006-10-13”),119.579,119.58],[new Date(“2006-10-14”),119.513,119.51],[new Date(“2006-10-15”),119.513,119.51],[new Date(“2006-10-16”),119.165,119.17],[new Date(“2006-10-17”),118.702,118.70],[new Date(“2006-10-18”),118.863,118.86],[new Date(“2006-10-19”),118.400,118.40],[new Date(“2006-10-20”),118.542,118.54],[new Date(“2006-10-21”),118.484,118.48],[new Date(“2006-10-22”),118.484,118.48],[new Date(“2006-10-23”),119.274,119.27],[new Date(“2006-10-24”),119.381,119.38],[new Date(“2006-10-25”),119.085,119.09],[new Date(“2006-10-26”),118.623,118.62],[new Date(“2006-10-27”),117.929,117.93],[new Date(“2006-10-28”),118.033,118.03],[new Date(“2006-10-29”),118.033,118.03],[new Date(“2006-10-30”),117.364,117.36],[new Date(“2006-10-31″),117.234,117.23],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}

September, 2006

01      117.1842
02      117.1605
↗0.024, 0.02%
03      117.1605
→0.000, 0.00%
04      116.2457
↗0.915, 0.78%
05      115.9492
↗0.297, 0.26%
06      116.6500
↘0.701, 0.60%
07      116.3691
↗0.281, 0.24%
08      116.6800
↘0.311, 0.27%
09      116.6044
↗0.076, 0.06%
10      116.6044
→0.000, 0.00%
11      117.4685
↘0.864, 0.74%
12      117.7035
↘0.235, 0.20%
13      117.5994
↗0.104, 0.09%
14      117.5269
↗0.073, 0.06%
15      117.6752
↘0.148, 0.13%
16      117.7054
↘0.030, 0.03%
17      117.7054
→0.000, 0.00%
18      117.9637
↘0.258, 0.22%
19      117.5877
↗0.376, 0.32%
20      117.3373
↗0.250, 0.21%
21      116.6383
↗0.699, 0.60%
22      116.3417
↗0.297, 0.25%
23      116.3106
↗0.031, 0.03%
24      116.3106
→0.000, 0.00%
25      116.4749
↘0.164, 0.14%
26      116.8673
↘0.392, 0.34%
27      117.4562
↘0.589, 0.50%
28      117.7549
↘0.299, 0.25%
29      118.0215
↘0.267, 0.23%
30      118.0338
↘0.012, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2006-09-01”),117.184,117.18],[new Date(“2006-09-02”),117.161,117.16],[new Date(“2006-09-03”),117.161,117.16],[new Date(“2006-09-04”),116.246,116.25],[new Date(“2006-09-05”),115.949,115.95],[new Date(“2006-09-06”),116.650,116.65],[new Date(“2006-09-07”),116.369,116.37],[new Date(“2006-09-08”),116.680,116.68],[new Date(“2006-09-09”),116.604,116.60],[new Date(“2006-09-10”),116.604,116.60],[new Date(“2006-09-11”),117.468,117.47],[new Date(“2006-09-12”),117.704,117.70],[new Date(“2006-09-13”),117.599,117.60],[new Date(“2006-09-14”),117.527,117.53],[new Date(“2006-09-15”),117.675,117.68],[new Date(“2006-09-16”),117.705,117.71],[new Date(“2006-09-17”),117.705,117.71],[new Date(“2006-09-18”),117.964,117.96],[new Date(“2006-09-19”),117.588,117.59],[new Date(“2006-09-20”),117.337,117.34],[new Date(“2006-09-21”),116.638,116.64],[new Date(“2006-09-22”),116.342,116.34],[new Date(“2006-09-23”),116.311,116.31],[new Date(“2006-09-24”),116.311,116.31],[new Date(“2006-09-25”),116.475,116.47],[new Date(“2006-09-26”),116.867,116.87],[new Date(“2006-09-27”),117.456,117.46],[new Date(“2006-09-28”),117.755,117.75],[new Date(“2006-09-29”),118.021,118.02],[new Date(“2006-09-30″),118.034,118.03],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}

August, 2006

01      114.7245
02      114.6339
↗0.091, 0.08%
03      115.0030
↘0.369, 0.32%
04      114.7281
↗0.275, 0.24%
05      114.9109
↘0.183, 0.16%
06      114.9109
→0.000, 0.00%
07      115.0246
↘0.114, 0.10%
08      115.0144
↗0.010, 0.01%
09      115.1696
↘0.155, 0.13%
10      115.1805
↘0.011, 0.01%
11      116.1716
↘0.991, 0.86%
12      116.1406
↗0.031, 0.03%
13      116.1406
→0.000, 0.00%
14      116.6383
↘0.498, 0.43%
15      116.2506
↗0.388, 0.33%
16      115.9701
↗0.280, 0.24%
17      115.5942
↗0.376, 0.32%
18      115.8202
↘0.226, 0.20%
19      115.8161
↗0.004, 0.00%
20      115.8161
→0.000, 0.00%
21      115.7719
↗0.044, 0.04%
22      116.5342
↘0.762, 0.66%
23      116.3736
↗0.161, 0.14%
24      116.4023
↘0.029, 0.02%
25      117.2720
↘0.870, 0.75%
26      117.2438
↗0.028, 0.02%
27      117.2438
→0.000, 0.00%
28      117.1193
↗0.125, 0.11%
29      116.7421
↗0.377, 0.32%
30      117.0924
↘0.350, 0.30%
31      117.2855
↘0.193, 0.16%
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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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2006

01      114.5118
02      114.5118
→0.000, 0.00%
03      114.8028
↘0.291, 0.25%
04      114.5973
↗0.205, 0.18%
05      115.3146
↘0.717, 0.63%
06      115.2895
↗0.025, 0.02%
07      114.2463
↗1.043, 0.90%
08      114.3144
↘0.068, 0.06%
09      114.3144
→0.000, 0.00%
10      113.9733
↗0.341, 0.30%
11      114.2566
↘0.283, 0.25%
12      115.3749
↘1.118, 0.98%
13      115.3583
↗0.017, 0.01%
14      116.1206
↘0.762, 0.66%
15      116.0680
↗0.053, 0.05%
16      116.0680
→0.000, 0.00%
17      117.0715
↘1.003, 0.86%
18      117.2446
↘0.173, 0.15%
19      117.2059
↗0.039, 0.03%
20      116.8215
↗0.384, 0.33%
21      116.1202
↗0.701, 0.60%
22      116.0418
↗0.078, 0.07%
23      116.0418
→0.000, 0.00%
24      116.6951
↘0.653, 0.56%
25      117.0485
↘0.353, 0.30%
26      116.6524
↗0.396, 0.34%
27      115.6731
↗0.979, 0.84%
28      115.0997
↗0.573, 0.50%
29      115.2214
↘0.122, 0.11%
30      115.2214
→0.000, 0.00%
31      114.4187
↗0.803, 0.70%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2006-07-01”),114.512,114.51],[new Date(“2006-07-02”),114.512,114.51],[new Date(“2006-07-03”),114.803,114.80],[new Date(“2006-07-04”),114.597,114.60],[new Date(“2006-07-05”),115.315,115.31],[new Date(“2006-07-06”),115.290,115.29],[new Date(“2006-07-07”),114.246,114.25],[new Date(“2006-07-08”),114.314,114.31],[new Date(“2006-07-09”),114.314,114.31],[new Date(“2006-07-10”),113.973,113.97],[new Date(“2006-07-11”),114.257,114.26],[new Date(“2006-07-12”),115.375,115.37],[new Date(“2006-07-13”),115.358,115.36],[new Date(“2006-07-14”),116.121,116.12],[new Date(“2006-07-15”),116.068,116.07],[new Date(“2006-07-16”),116.068,116.07],[new Date(“2006-07-17”),117.071,117.07],[new Date(“2006-07-18”),117.245,117.24],[new Date(“2006-07-19”),117.206,117.21],[new Date(“2006-07-20”),116.821,116.82],[new Date(“2006-07-21”),116.120,116.12],[new Date(“2006-07-22”),116.042,116.04],[new Date(“2006-07-23”),116.042,116.04],[new Date(“2006-07-24”),116.695,116.70],[new Date(“2006-07-25”),117.049,117.05],[new Date(“2006-07-26”),116.652,116.65],[new Date(“2006-07-27”),115.673,115.67],[new Date(“2006-07-28”),115.100,115.10],[new Date(“2006-07-29”),115.221,115.22],[new Date(“2006-07-30”),115.221,115.22],[new Date(“2006-07-31″),114.419,114.42],]);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, 2006

01      112.8174
02      112.0957
↗0.722, 0.64%
03      112.2242
↘0.128, 0.11%
04      112.2242
→0.000, 0.00%
05      111.8399
↗0.384, 0.34%
06      112.9885
↘1.149, 1.03%
07      113.3717
↘0.383, 0.34%
08      114.2660
↘0.894, 0.79%
09      113.9316
↗0.334, 0.29%
10      113.9359
↘0.004, 0.00%
11      113.9359
→0.000, 0.00%
12      114.3016
↘0.366, 0.32%
13      115.0220
↘0.720, 0.63%
14      115.0458
↘0.024, 0.02%
15      114.9574
↗0.088, 0.08%
16      115.0358
↘0.078, 0.07%
17      115.0138
↗0.022, 0.02%
18      115.0138
→0.000, 0.00%
19      115.3970
↘0.383, 0.33%
20      114.9989
↗0.398, 0.35%
21      114.8388
↗0.160, 0.14%
22      115.8816
↘1.043, 0.91%
23      116.3975
↘0.516, 0.45%
24      116.4386
↘0.041, 0.04%
25      116.4386
→0.000, 0.00%
26      116.3360
↗0.103, 0.09%
27      116.3567
↘0.021, 0.02%
28      116.3470
↗0.010, 0.01%
29      115.9012
↗0.446, 0.38%
30      114.5321
↗1.369, 1.18%
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(“2006-06-01”),112.817,112.82],[new Date(“2006-06-02”),112.096,112.10],[new Date(“2006-06-03”),112.224,112.22],[new Date(“2006-06-04”),112.224,112.22],[new Date(“2006-06-05”),111.840,111.84],[new Date(“2006-06-06”),112.989,112.99],[new Date(“2006-06-07”),113.372,113.37],[new Date(“2006-06-08”),114.266,114.27],[new Date(“2006-06-09”),113.932,113.93],[new Date(“2006-06-10”),113.936,113.94],[new Date(“2006-06-11”),113.936,113.94],[new Date(“2006-06-12”),114.302,114.30],[new Date(“2006-06-13”),115.022,115.02],[new Date(“2006-06-14”),115.046,115.05],[new Date(“2006-06-15”),114.957,114.96],[new Date(“2006-06-16”),115.036,115.04],[new Date(“2006-06-17”),115.014,115.01],[new Date(“2006-06-18”),115.014,115.01],[new Date(“2006-06-19”),115.397,115.40],[new Date(“2006-06-20”),114.999,115.00],[new Date(“2006-06-21”),114.839,114.84],[new Date(“2006-06-22”),115.882,115.88],[new Date(“2006-06-23”),116.397,116.40],[new Date(“2006-06-24”),116.439,116.44],[new Date(“2006-06-25”),116.439,116.44],[new Date(“2006-06-26”),116.336,116.34],[new Date(“2006-06-27”),116.357,116.36],[new Date(“2006-06-28”),116.347,116.35],[new Date(“2006-06-29”),115.901,115.90],[new Date(“2006-06-30″),114.532,114.53],]);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, 2006

01      113.4434
02      113.3008
↗0.143, 0.13%
03      113.5753
↘0.274, 0.24%
04      113.6785
↘0.103, 0.09%
05      112.9676
↗0.711, 0.63%
06      113.1652
↘0.198, 0.17%
07      113.1652
→0.000, 0.00%
08      111.4816
↗1.684, 1.49%
09      111.3242
↗0.157, 0.14%
10      110.4304
↗0.894, 0.80%
11      110.7530
↘0.323, 0.29%
12      110.0135
↗0.740, 0.67%
13      109.8263
↗0.187, 0.17%
14      109.8263
→0.000, 0.00%
15      110.1890
↘0.363, 0.33%
16      110.0255
↗0.164, 0.15%
17      110.2686
↘0.243, 0.22%
18      110.9678
↘0.699, 0.63%
19      111.7292
↘0.761, 0.69%
20      111.6913
↗0.038, 0.03%
21      111.6913
→0.000, 0.00%
22      111.8837
↘0.192, 0.17%
23      111.3376
↗0.546, 0.49%
24      112.4403
↘1.103, 0.99%
25      111.9505
↗0.490, 0.44%
26      112.4461
↘0.496, 0.44%
27      112.4186
↗0.027, 0.02%
28      112.4186
→0.000, 0.00%
29      112.4403
↘0.022, 0.02%
30      112.1753
↗0.265, 0.24%
31      112.3462
↘0.171, 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(“2006-05-01”),113.443,113.44],[new Date(“2006-05-02”),113.301,113.30],[new Date(“2006-05-03”),113.575,113.58],[new Date(“2006-05-04”),113.679,113.68],[new Date(“2006-05-05”),112.968,112.97],[new Date(“2006-05-06”),113.165,113.17],[new Date(“2006-05-07”),113.165,113.17],[new Date(“2006-05-08”),111.482,111.48],[new Date(“2006-05-09”),111.324,111.32],[new Date(“2006-05-10”),110.430,110.43],[new Date(“2006-05-11”),110.753,110.75],[new Date(“2006-05-12”),110.013,110.01],[new Date(“2006-05-13”),109.826,109.83],[new Date(“2006-05-14”),109.826,109.83],[new Date(“2006-05-15”),110.189,110.19],[new Date(“2006-05-16”),110.026,110.03],[new Date(“2006-05-17”),110.269,110.27],[new Date(“2006-05-18”),110.968,110.97],[new Date(“2006-05-19”),111.729,111.73],[new Date(“2006-05-20”),111.691,111.69],[new Date(“2006-05-21”),111.691,111.69],[new Date(“2006-05-22”),111.884,111.88],[new Date(“2006-05-23”),111.338,111.34],[new Date(“2006-05-24”),112.440,112.44],[new Date(“2006-05-25”),111.950,111.95],[new Date(“2006-05-26”),112.446,112.45],[new Date(“2006-05-27”),112.419,112.42],[new Date(“2006-05-28”),112.419,112.42],[new Date(“2006-05-29”),112.440,112.44],[new Date(“2006-05-30”),112.175,112.18],[new Date(“2006-05-31″),112.346,112.35],]);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_5’));
chart.draw(data, options);
}

April, 2006

01      117.6899
02      117.6899
→0.000, 0.00%
03      117.9585
↘0.269, 0.23%
04      117.4988
↗0.460, 0.39%
05      117.4996
↘0.001, 0.00%
06      117.6605
↘0.161, 0.14%
07      118.1454
↘0.485, 0.41%
08      118.0782
↗0.067, 0.06%
09      118.0782
→0.000, 0.00%
10      118.4772
↘0.399, 0.34%
11      118.5274
↘0.050, 0.04%
12      118.3680
↗0.159, 0.13%
13      118.5299
↘0.162, 0.14%
14      118.5941
↘0.064, 0.05%
15      118.5323
↗0.062, 0.05%
16      118.5323
→0.000, 0.00%
17      117.8992
↗0.633, 0.53%
18      117.6602
↗0.239, 0.20%
19      117.2979
↗0.362, 0.31%
20      117.5715
↘0.274, 0.23%
21      116.9327
↗0.639, 0.54%
22      116.9477
↘0.015, 0.01%
23      116.9477
→0.000, 0.00%
24      114.7397
↗2.208, 1.89%
25      114.6459
↗0.094, 0.08%
26      114.8279
↘0.182, 0.16%
27      114.3967
↗0.431, 0.38%
28      113.9685
↗0.428, 0.37%
29      114.0103
↘0.042, 0.04%
30      114.0103
→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(“2006-04-01”),117.690,117.69],[new Date(“2006-04-02”),117.690,117.69],[new Date(“2006-04-03”),117.958,117.96],[new Date(“2006-04-04”),117.499,117.50],[new Date(“2006-04-05”),117.500,117.50],[new Date(“2006-04-06”),117.661,117.66],[new Date(“2006-04-07”),118.145,118.15],[new Date(“2006-04-08”),118.078,118.08],[new Date(“2006-04-09”),118.078,118.08],[new Date(“2006-04-10”),118.477,118.48],[new Date(“2006-04-11”),118.527,118.53],[new Date(“2006-04-12”),118.368,118.37],[new Date(“2006-04-13”),118.530,118.53],[new Date(“2006-04-14”),118.594,118.59],[new Date(“2006-04-15”),118.532,118.53],[new Date(“2006-04-16”),118.532,118.53],[new Date(“2006-04-17”),117.899,117.90],[new Date(“2006-04-18”),117.660,117.66],[new Date(“2006-04-19”),117.298,117.30],[new Date(“2006-04-20”),117.571,117.57],[new Date(“2006-04-21”),116.933,116.93],[new Date(“2006-04-22”),116.948,116.95],[new Date(“2006-04-23”),116.948,116.95],[new Date(“2006-04-24”),114.740,114.74],[new Date(“2006-04-25”),114.646,114.65],[new Date(“2006-04-26”),114.828,114.83],[new Date(“2006-04-27”),114.397,114.40],[new Date(“2006-04-28”),113.968,113.97],[new Date(“2006-04-29”),114.010,114.01],[new Date(“2006-04-30″),114.010,114.01],]);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, 2006

01      116.0537
02      116.0897
↘0.036, 0.03%
03      116.4406
↘0.351, 0.30%
04      116.3930
↗0.048, 0.04%
05      116.3930
→0.000, 0.00%
06      117.4497
↘1.057, 0.91%
07      117.8336
↘0.384, 0.33%
08      117.8481
↘0.014, 0.01%
09      117.8970
↘0.049, 0.04%
10      118.8004
↘0.903, 0.77%
11      118.6909
↗0.110, 0.09%
12      118.6909
→0.000, 0.00%
13      118.9881
↘0.297, 0.25%
14      117.7171
↗1.271, 1.07%
15      117.3840
↗0.333, 0.28%
16      117.2268
↗0.157, 0.13%
17      115.9500
↗1.277, 1.09%
18      115.9481
↗0.002, 0.00%
19      115.9481
→0.000, 0.00%
20      116.0832
↘0.135, 0.12%
21      116.9579
↘0.875, 0.75%
22      116.9099
↗0.048, 0.04%
23      117.5176
↘0.608, 0.52%
24      117.7612
↘0.244, 0.21%
25      117.8462
↘0.085, 0.07%
26      117.8462
→0.000, 0.00%
27      116.6266
↗1.220, 1.03%
28      117.3180
↘0.691, 0.59%
29      117.8176
↘0.500, 0.43%
30      117.3404
↗0.477, 0.41%
31      117.6384
↘0.298, 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(“2006-03-01”),116.054,116.05],[new Date(“2006-03-02”),116.090,116.09],[new Date(“2006-03-03”),116.441,116.44],[new Date(“2006-03-04”),116.393,116.39],[new Date(“2006-03-05”),116.393,116.39],[new Date(“2006-03-06”),117.450,117.45],[new Date(“2006-03-07”),117.834,117.83],[new Date(“2006-03-08”),117.848,117.85],[new Date(“2006-03-09”),117.897,117.90],[new Date(“2006-03-10”),118.800,118.80],[new Date(“2006-03-11”),118.691,118.69],[new Date(“2006-03-12”),118.691,118.69],[new Date(“2006-03-13”),118.988,118.99],[new Date(“2006-03-14”),117.717,117.72],[new Date(“2006-03-15”),117.384,117.38],[new Date(“2006-03-16”),117.227,117.23],[new Date(“2006-03-17”),115.950,115.95],[new Date(“2006-03-18”),115.948,115.95],[new Date(“2006-03-19”),115.948,115.95],[new Date(“2006-03-20”),116.083,116.08],[new Date(“2006-03-21”),116.958,116.96],[new Date(“2006-03-22”),116.910,116.91],[new Date(“2006-03-23”),117.518,117.52],[new Date(“2006-03-24”),117.761,117.76],[new Date(“2006-03-25”),117.846,117.85],[new Date(“2006-03-26”),117.846,117.85],[new Date(“2006-03-27”),116.627,116.63],[new Date(“2006-03-28”),117.318,117.32],[new Date(“2006-03-29”),117.818,117.82],[new Date(“2006-03-30”),117.340,117.34],[new Date(“2006-03-31″),117.638,117.64],]);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, 2006

01      117.7929
02      118.4499
↘0.657, 0.56%
03      118.8263
↘0.376, 0.32%
04      118.7699
↗0.056, 0.05%
05      118.7699
→0.000, 0.00%
06      118.8876
↘0.118, 0.10%
07      118.0505
↗0.837, 0.70%
08      118.5550
↘0.505, 0.43%
09      118.6883
↘0.133, 0.11%
10      117.7287
↗0.960, 0.81%
11      117.7426
↘0.014, 0.01%
12      117.7426
→0.000, 0.00%
13      117.8052
↘0.063, 0.05%
14      117.3703
↗0.435, 0.37%
15      117.7881
↘0.418, 0.36%
16      117.9542
↘0.166, 0.14%
17      118.4488
↘0.495, 0.42%
18      118.4122
↗0.037, 0.03%
19      118.4122
→0.000, 0.00%
20      118.2245
↗0.188, 0.16%
21      118.8268
↘0.602, 0.51%
22      118.5893
↗0.237, 0.20%
23      117.0501
↗1.539, 1.30%
24      116.9072
↗0.143, 0.12%
25      116.8804
↗0.027, 0.02%
26      116.8804
→0.000, 0.00%
27      116.1404
↗0.740, 0.63%
28      115.9892
↗0.151, 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(“2006-02-01”),117.793,117.79],[new Date(“2006-02-02”),118.450,118.45],[new Date(“2006-02-03”),118.826,118.83],[new Date(“2006-02-04”),118.770,118.77],[new Date(“2006-02-05”),118.770,118.77],[new Date(“2006-02-06”),118.888,118.89],[new Date(“2006-02-07”),118.050,118.05],[new Date(“2006-02-08”),118.555,118.56],[new Date(“2006-02-09”),118.688,118.69],[new Date(“2006-02-10”),117.729,117.73],[new Date(“2006-02-11”),117.743,117.74],[new Date(“2006-02-12”),117.743,117.74],[new Date(“2006-02-13”),117.805,117.81],[new Date(“2006-02-14”),117.370,117.37],[new Date(“2006-02-15”),117.788,117.79],[new Date(“2006-02-16”),117.954,117.95],[new Date(“2006-02-17”),118.449,118.45],[new Date(“2006-02-18”),118.412,118.41],[new Date(“2006-02-19”),118.412,118.41],[new Date(“2006-02-20”),118.224,118.22],[new Date(“2006-02-21”),118.827,118.83],[new Date(“2006-02-22”),118.589,118.59],[new Date(“2006-02-23”),117.050,117.05],[new Date(“2006-02-24”),116.907,116.91],[new Date(“2006-02-25”),116.880,116.88],[new Date(“2006-02-26”),116.880,116.88],[new Date(“2006-02-27”),116.140,116.14],[new Date(“2006-02-28″),115.989,115.99],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2006

01      117.8332
02      117.9763
↘0.143, 0.12%
03      116.6489
↗1.327, 1.13%
04      116.0679
↗0.581, 0.50%
05      115.9737
↗0.094, 0.08%
06      114.9900
↗0.984, 0.85%
07      115.1667
↘0.177, 0.15%
08      115.1667
→0.000, 0.00%
09      114.3663
↗0.800, 0.69%
10      114.5106
↘0.144, 0.13%
11      114.1811
↗0.329, 0.29%
12      113.9747
↗0.206, 0.18%
13      114.4576
↘0.483, 0.42%
14      114.4649
↘0.007, 0.01%
15      114.4649
→0.000, 0.00%
16      114.8018
↘0.337, 0.29%
17      115.5183
↘0.717, 0.62%
18      115.2017
↗0.317, 0.27%
19      115.2552
↘0.053, 0.05%
20      115.3078
↘0.053, 0.05%
21      115.2761
↗0.032, 0.03%
22      115.2761
→0.000, 0.00%
23      114.4577
↗0.818, 0.71%
24      114.5112
↘0.053, 0.05%
25      115.3721
↘0.861, 0.75%
26      116.1034
↘0.731, 0.63%
27      117.0783
↘0.975, 0.84%
28      117.0459
↗0.032, 0.03%
29      117.0459
→0.000, 0.00%
30      117.5522
↘0.506, 0.43%
31      117.1972
↗0.355, 0.30%
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(“2006-01-01”),117.833,117.83],[new Date(“2006-01-02”),117.976,117.98],[new Date(“2006-01-03”),116.649,116.65],[new Date(“2006-01-04”),116.068,116.07],[new Date(“2006-01-05”),115.974,115.97],[new Date(“2006-01-06”),114.990,114.99],[new Date(“2006-01-07”),115.167,115.17],[new Date(“2006-01-08”),115.167,115.17],[new Date(“2006-01-09”),114.366,114.37],[new Date(“2006-01-10”),114.511,114.51],[new Date(“2006-01-11”),114.181,114.18],[new Date(“2006-01-12”),113.975,113.97],[new Date(“2006-01-13”),114.458,114.46],[new Date(“2006-01-14”),114.465,114.46],[new Date(“2006-01-15”),114.465,114.46],[new Date(“2006-01-16”),114.802,114.80],[new Date(“2006-01-17”),115.518,115.52],[new Date(“2006-01-18”),115.202,115.20],[new Date(“2006-01-19”),115.255,115.26],[new Date(“2006-01-20”),115.308,115.31],[new Date(“2006-01-21”),115.276,115.28],[new Date(“2006-01-22”),115.276,115.28],[new Date(“2006-01-23”),114.458,114.46],[new Date(“2006-01-24”),114.511,114.51],[new Date(“2006-01-25”),115.372,115.37],[new Date(“2006-01-26”),116.103,116.10],[new Date(“2006-01-27”),117.078,117.08],[new Date(“2006-01-28”),117.046,117.05],[new Date(“2006-01-29”),117.046,117.05],[new Date(“2006-01-30”),117.552,117.55],[new Date(“2006-01-31″),117.197,117.20],]);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_1’));
chart.draw(data, options);
}