Japanese Yen JPY 2014 Conversion Rates

  • Opening Value is 105.290900 JPY per Dollar
  • Closing Value is 119.758500 JPY per Dollar
  • Change in Value during 2014 is 14.4676 which is 13.74%
  • Best Performance is on 2014-07-17 with 101.252400 JPY per Dollar
  • Lowest Performance is on 2014-12-07 with 121.109401 JPY per Dollar
  • Average Value is 105.9073 JPY per Dollar
  • Swing Between the higest and the lowest is 19.8570 per Dollar, that is 18.86% compared to the opening value.

USD to JPY Conversion Rates – 12 months

Date 1 USD =
2014-12-31 119.7585 JPY
2014-11-30 118.7977 JPY
2014-10-31 111.6702 JPY
2014-09-30 109.5922 JPY
2014-08-31 104.1200 JPY
2014-07-31 102.7202 JPY
2014-06-30 101.3420 JPY
2014-05-31 101.7554 JPY
2014-04-30 102.3091 JPY
2014-03-31 103.1419 JPY
2014-02-28 101.8847 JPY
2014-01-31 102.1054 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”);
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‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2014

01      118.3764
02      119.0826
↘0.706, 0.60%
03      119.4728
↘0.390, 0.33%
04      119.5955
↘0.123, 0.10%
05      120.6985
↘1.103, 0.92%
06      120.8265
↘0.128, 0.11%
07      121.1094
↘0.283, 0.23%
08      120.7709
↗0.339, 0.28%
09      119.9274
↗0.843, 0.70%
10      118.3510
↗1.576, 1.31%
11      118.9020
↘0.551, 0.47%
12      118.7194
↗0.183, 0.15%
13      118.7588
↘0.039, 0.03%
14      118.5074
↗0.251, 0.21%
15      118.0844
↗0.423, 0.36%
16      116.8310
↗1.253, 1.06%
17      118.4681
↘1.637, 1.40%
18      118.5695
↘0.101, 0.09%
19      119.3527
↘0.783, 0.66%
20      119.4555
↘0.103, 0.09%
21      119.5304
↘0.075, 0.06%
22      119.9486
↘0.418, 0.35%
23      120.5218
↘0.573, 0.48%
24      120.4311
↗0.091, 0.08%
25      120.2847
↗0.146, 0.12%
26      120.3810
↘0.096, 0.08%
27      120.3520
↗0.029, 0.02%
28      120.3800
↘0.028, 0.02%
29      120.5829
↘0.203, 0.17%
30      119.6544
↗0.929, 0.77%
31      119.7585
↘0.104, 0.09%
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’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2014

01      112.0493
02      112.6780
↘0.629, 0.56%
03      113.5449
↘0.867, 0.77%
04      113.4294
↗0.116, 0.10%
05      114.4776
↘1.048, 0.92%
06      115.0328
↘0.555, 0.48%
07      114.6121
↗0.421, 0.37%
08      114.7403
↘0.128, 0.11%
09      114.4981
↗0.242, 0.21%
10      114.7761
↘0.278, 0.24%
11      115.5796
↘0.803, 0.70%
12      115.5161
↗0.063, 0.05%
13      115.7250
↘0.209, 0.18%
14      116.1432
↘0.418, 0.36%
15      116.2726
↘0.129, 0.11%
16      116.4998
↘0.227, 0.20%
17      116.5912
↘0.091, 0.08%
18      116.7783
↘0.187, 0.16%
19      117.7141
↘0.936, 0.80%
20      118.0818
↘0.368, 0.31%
21      117.9008
↗0.181, 0.15%
22      117.8098
↗0.091, 0.08%
23      117.8451
↘0.035, 0.03%
24      118.2322
↘0.387, 0.33%
25      117.9544
↗0.278, 0.23%
26      117.7296
↗0.225, 0.19%
27      117.8299
↘0.100, 0.09%
28      118.4126
↘0.583, 0.49%
29      118.5555
↘0.143, 0.12%
30      118.7977
↘0.242, 0.20%
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’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
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October, 2014

01      109.1550
02      108.6476
↗0.507, 0.46%
03      109.5476
↘0.900, 0.83%
04      109.6365
↘0.089, 0.08%
05      109.8237
↘0.187, 0.17%
06      108.9740
↗0.850, 0.77%
07      108.3475
↗0.627, 0.57%
08      108.2699
↗0.078, 0.07%
09      107.9611
↗0.309, 0.29%
10      107.7141
↗0.247, 0.23%
11      107.6936
↗0.020, 0.02%
12      107.3752
↗0.318, 0.30%
13      107.1265
↗0.249, 0.23%
14      107.2361
↘0.110, 0.10%
15      106.1527
↗1.083, 1.01%
16      106.4577
↘0.305, 0.29%
17      106.7181
↘0.260, 0.24%
18      106.8026
↘0.084, 0.08%
19      107.0914
↘0.289, 0.27%
20      106.9252
↗0.166, 0.16%
21      107.0462
↘0.121, 0.11%
22      107.0986
↘0.052, 0.05%
23      107.9860
↘0.887, 0.83%
24      108.0476
↘0.062, 0.06%
25      108.1400
↘0.092, 0.09%
26      108.2051
↘0.065, 0.06%
27      107.9002
↗0.305, 0.28%
28      108.0681
↘0.168, 0.16%
29      108.6326
↘0.564, 0.52%
30      109.1190
↘0.486, 0.45%
31      111.6702
↘2.551, 2.34%
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(“2014-10-01”),109.155,109.16],[new Date(“2014-10-02”),108.648,108.65],[new Date(“2014-10-03”),109.548,109.55],[new Date(“2014-10-04”),109.637,109.64],[new Date(“2014-10-05”),109.824,109.82],[new Date(“2014-10-06”),108.974,108.97],[new Date(“2014-10-07”),108.348,108.35],[new Date(“2014-10-08”),108.270,108.27],[new Date(“2014-10-09”),107.961,107.96],[new Date(“2014-10-10”),107.714,107.71],[new Date(“2014-10-11”),107.694,107.69],[new Date(“2014-10-12”),107.375,107.38],[new Date(“2014-10-13”),107.127,107.13],[new Date(“2014-10-14”),107.236,107.24],[new Date(“2014-10-15”),106.153,106.15],[new Date(“2014-10-16”),106.458,106.46],[new Date(“2014-10-17”),106.718,106.72],[new Date(“2014-10-18”),106.803,106.80],[new Date(“2014-10-19”),107.091,107.09],[new Date(“2014-10-20”),106.925,106.93],[new Date(“2014-10-21”),107.046,107.05],[new Date(“2014-10-22”),107.099,107.10],[new Date(“2014-10-23”),107.986,107.99],[new Date(“2014-10-24”),108.048,108.05],[new Date(“2014-10-25”),108.140,108.14],[new Date(“2014-10-26”),108.205,108.21],[new Date(“2014-10-27”),107.900,107.90],[new Date(“2014-10-28”),108.068,108.07],[new Date(“2014-10-29”),108.633,108.63],[new Date(“2014-10-30”),109.119,109.12],[new Date(“2014-10-31″),111.670,111.67],]);var options = {
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title: ‘Date’
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
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September, 2014

01      104.2819
02      104.9266
↘0.645, 0.62%
03      104.8525
↗0.074, 0.07%
04      105.2880
↘0.435, 0.42%
05      105.0665
↗0.222, 0.21%
06      105.1114
↘0.045, 0.04%
07      105.1661
↘0.055, 0.05%
08      105.8117
↘0.646, 0.61%
09      106.0350
↘0.223, 0.21%
10      106.7031
↘0.668, 0.63%
11      106.9451
↘0.242, 0.23%
12      107.2561
↘0.311, 0.29%
13      107.3216
↘0.066, 0.06%
14      107.3161
↗0.005, 0.01%
15      107.2068
↗0.109, 0.10%
16      107.1714
↗0.035, 0.03%
17      108.2448
↘1.073, 1.00%
18      108.4796
↘0.235, 0.22%
19      108.9689
↘0.489, 0.45%
20      109.0275
↘0.059, 0.05%
21      108.9705
↗0.057, 0.05%
22      108.8568
↗0.114, 0.10%
23      108.8373
↗0.020, 0.02%
24      109.0372
↘0.200, 0.18%
25      108.7034
↗0.334, 0.31%
26      109.2376
↘0.534, 0.49%
27      109.2336
↗0.004, 0.00%
28      109.4103
↘0.177, 0.16%
29      109.4007
↗0.010, 0.01%
30      109.5922
↘0.191, 0.18%
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(“2014-09-01”),104.282,104.28],[new Date(“2014-09-02”),104.927,104.93],[new Date(“2014-09-03”),104.853,104.85],[new Date(“2014-09-04”),105.288,105.29],[new Date(“2014-09-05”),105.066,105.07],[new Date(“2014-09-06”),105.111,105.11],[new Date(“2014-09-07”),105.166,105.17],[new Date(“2014-09-08”),105.812,105.81],[new Date(“2014-09-09”),106.035,106.04],[new Date(“2014-09-10”),106.703,106.70],[new Date(“2014-09-11”),106.945,106.95],[new Date(“2014-09-12”),107.256,107.26],[new Date(“2014-09-13”),107.322,107.32],[new Date(“2014-09-14”),107.316,107.32],[new Date(“2014-09-15”),107.207,107.21],[new Date(“2014-09-16”),107.171,107.17],[new Date(“2014-09-17”),108.245,108.24],[new Date(“2014-09-18”),108.480,108.48],[new Date(“2014-09-19”),108.969,108.97],[new Date(“2014-09-20”),109.027,109.03],[new Date(“2014-09-21”),108.971,108.97],[new Date(“2014-09-22”),108.857,108.86],[new Date(“2014-09-23”),108.837,108.84],[new Date(“2014-09-24”),109.037,109.04],[new Date(“2014-09-25”),108.703,108.70],[new Date(“2014-09-26”),109.238,109.24],[new Date(“2014-09-27”),109.234,109.23],[new Date(“2014-09-28”),109.410,109.41],[new Date(“2014-09-29”),109.401,109.40],[new Date(“2014-09-30″),109.592,109.59],]);var options = {
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‘colors’:[”]
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chart.draw(data, options);
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August, 2014

01      102.6510
02      102.6425
↗0.008, 0.01%
03      102.5791
↗0.063, 0.06%
04      102.5762
↗0.003, 0.00%
05      102.6171
↘0.041, 0.04%
06      102.2319
↗0.385, 0.38%
07      102.1459
↗0.086, 0.08%
08      102.0715
↗0.074, 0.07%
09      102.0108
↗0.061, 0.06%
10      102.1189
↘0.108, 0.11%
11      102.1829
↘0.064, 0.06%
12      102.2538
↘0.071, 0.07%
13      102.3946
↘0.141, 0.14%
14      102.4646
↘0.070, 0.07%
15      102.3794
↗0.085, 0.08%
16      102.3808
↘0.001, 0.00%
17      102.4034
↘0.023, 0.02%
18      102.5349
↘0.132, 0.13%
19      102.8273
↘0.292, 0.29%
20      103.5235
↘0.696, 0.68%
21      103.7322
↘0.209, 0.20%
22      103.9184
↘0.186, 0.18%
23      103.9211
↘0.003, 0.00%
24      104.1593
↘0.238, 0.23%
25      104.0331
↗0.126, 0.12%
26      104.0797
↘0.047, 0.04%
27      103.9185
↗0.161, 0.15%
28      103.7641
↗0.154, 0.15%
29      104.0118
↘0.248, 0.24%
30      104.0355
↘0.024, 0.02%
31      104.1200
↘0.085, 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”);
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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, 2014

01      101.5028
02      101.7159
↘0.213, 0.21%
03      102.0966
↘0.381, 0.37%
04      102.0653
↗0.031, 0.03%
05      102.0765
↘0.011, 0.01%
06      102.1185
↘0.042, 0.04%
07      101.8962
↗0.222, 0.22%
08      101.6309
↗0.265, 0.26%
09      101.6368
↘0.006, 0.01%
10      101.3413
↗0.295, 0.29%
11      101.3299
↗0.011, 0.01%
12      101.3065
↗0.023, 0.02%
13      101.3515
↘0.045, 0.04%
14      101.5013
↘0.150, 0.15%
15      101.6311
↘0.130, 0.13%
16      101.6400
↘0.009, 0.01%
17      101.2524
↗0.388, 0.38%
18      101.3643
↘0.112, 0.11%
19      101.7941
↘0.430, 0.42%
20      101.8150
↘0.021, 0.02%
21      101.3977
↗0.417, 0.41%
22      101.4428
↘0.045, 0.04%
23      101.5278
↘0.085, 0.08%
24      101.7193
↘0.191, 0.19%
25      101.7952
↘0.076, 0.07%
26      101.8328
↘0.038, 0.04%
27      101.7898
↗0.043, 0.04%
28      101.8494
↘0.060, 0.06%
29      102.0479
↘0.198, 0.19%
30      102.6757
↘0.628, 0.62%
31      102.7202
↘0.044, 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(“2014-07-01”),101.503,101.50],[new Date(“2014-07-02”),101.716,101.72],[new Date(“2014-07-03”),102.097,102.10],[new Date(“2014-07-04”),102.065,102.07],[new Date(“2014-07-05”),102.076,102.08],[new Date(“2014-07-06”),102.119,102.12],[new Date(“2014-07-07”),101.896,101.90],[new Date(“2014-07-08”),101.631,101.63],[new Date(“2014-07-09”),101.637,101.64],[new Date(“2014-07-10”),101.341,101.34],[new Date(“2014-07-11”),101.330,101.33],[new Date(“2014-07-12”),101.307,101.31],[new Date(“2014-07-13”),101.351,101.35],[new Date(“2014-07-14”),101.501,101.50],[new Date(“2014-07-15”),101.631,101.63],[new Date(“2014-07-16”),101.640,101.64],[new Date(“2014-07-17”),101.252,101.25],[new Date(“2014-07-18”),101.364,101.36],[new Date(“2014-07-19”),101.794,101.79],[new Date(“2014-07-20”),101.815,101.82],[new Date(“2014-07-21”),101.398,101.40],[new Date(“2014-07-22”),101.443,101.44],[new Date(“2014-07-23”),101.528,101.53],[new Date(“2014-07-24”),101.719,101.72],[new Date(“2014-07-25”),101.795,101.80],[new Date(“2014-07-26”),101.833,101.83],[new Date(“2014-07-27”),101.790,101.79],[new Date(“2014-07-28”),101.849,101.85],[new Date(“2014-07-29”),102.048,102.05],[new Date(“2014-07-30”),102.676,102.68],[new Date(“2014-07-31″),102.720,102.72],]);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, 2014

01      101.7878
02      102.2618
↘0.474, 0.47%
03      102.4380
↘0.176, 0.17%
04      102.6471
↘0.209, 0.20%
05      102.4732
↗0.174, 0.17%
06      102.4985
↘0.025, 0.02%
07      102.4671
↗0.031, 0.03%
08      102.5586
↘0.091, 0.09%
09      102.5285
↗0.030, 0.03%
10      102.3658
↗0.163, 0.16%
11      102.0733
↗0.292, 0.29%
12      101.8062
↗0.267, 0.26%
13      102.0119
↘0.206, 0.20%
14      102.0034
↗0.009, 0.01%
15      102.0180
↘0.015, 0.01%
16      101.8731
↗0.145, 0.14%
17      102.1046
↘0.232, 0.23%
18      101.9513
↗0.153, 0.15%
19      101.9898
↘0.039, 0.04%
20      102.0328
↘0.043, 0.04%
21      102.0547
↘0.022, 0.02%
22      102.0920
↘0.037, 0.04%
23      101.9409
↗0.151, 0.15%
24      101.9507
↘0.010, 0.01%
25      101.8527
↗0.098, 0.10%
26      101.7050
↗0.148, 0.15%
27      101.4773
↗0.228, 0.22%
28      101.4214
↗0.056, 0.06%
29      101.4455
↘0.024, 0.02%
30      101.3420
↗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”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-06-01”),101.788,101.79],[new Date(“2014-06-02”),102.262,102.26],[new Date(“2014-06-03”),102.438,102.44],[new Date(“2014-06-04”),102.647,102.65],[new Date(“2014-06-05”),102.473,102.47],[new Date(“2014-06-06”),102.499,102.50],[new Date(“2014-06-07”),102.467,102.47],[new Date(“2014-06-08”),102.559,102.56],[new Date(“2014-06-09”),102.529,102.53],[new Date(“2014-06-10”),102.366,102.37],[new Date(“2014-06-11”),102.073,102.07],[new Date(“2014-06-12”),101.806,101.81],[new Date(“2014-06-13”),102.012,102.01],[new Date(“2014-06-14”),102.003,102.00],[new Date(“2014-06-15”),102.018,102.02],[new Date(“2014-06-16”),101.873,101.87],[new Date(“2014-06-17”),102.105,102.10],[new Date(“2014-06-18”),101.951,101.95],[new Date(“2014-06-19”),101.990,101.99],[new Date(“2014-06-20”),102.033,102.03],[new Date(“2014-06-21”),102.055,102.05],[new Date(“2014-06-22”),102.092,102.09],[new Date(“2014-06-23”),101.941,101.94],[new Date(“2014-06-24”),101.951,101.95],[new Date(“2014-06-25”),101.853,101.85],[new Date(“2014-06-26”),101.705,101.71],[new Date(“2014-06-27”),101.477,101.48],[new Date(“2014-06-28”),101.421,101.42],[new Date(“2014-06-29”),101.446,101.45],[new Date(“2014-06-30″),101.342,101.34],]);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, 2014

01      102.3418
02      102.2083
↗0.134, 0.13%
03      102.2390
↘0.031, 0.03%
04      102.2205
↗0.019, 0.02%
05      102.1746
↗0.046, 0.04%
06      101.7697
↗0.405, 0.40%
07      101.8685
↘0.099, 0.10%
08      101.6265
↗0.242, 0.24%
09      101.8253
↘0.199, 0.20%
10      101.8184
↗0.007, 0.01%
11      101.8439
↘0.026, 0.03%
12      102.1227
↘0.279, 0.27%
13      102.2059
↘0.083, 0.08%
14      101.9132
↗0.293, 0.29%
15      101.6283
↗0.285, 0.28%
16      101.5666
↗0.062, 0.06%
17      101.5160
↗0.051, 0.05%
18      101.5222
↘0.006, 0.01%
19      101.4863
↗0.036, 0.04%
20      101.3233
↗0.163, 0.16%
21      101.4201
↘0.097, 0.10%
22      101.6512
↘0.231, 0.23%
23      101.9023
↘0.251, 0.25%
24      101.9478
↘0.046, 0.04%
25      101.8925
↗0.055, 0.05%
26      101.9455
↘0.053, 0.05%
27      101.9877
↘0.042, 0.04%
28      101.8363
↗0.151, 0.15%
29      101.7719
↗0.064, 0.06%
30      101.7520
↗0.020, 0.02%
31      101.7554
↘0.003, 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(“2014-05-01”),102.342,102.34],[new Date(“2014-05-02”),102.208,102.21],[new Date(“2014-05-03”),102.239,102.24],[new Date(“2014-05-04”),102.220,102.22],[new Date(“2014-05-05”),102.175,102.17],[new Date(“2014-05-06”),101.770,101.77],[new Date(“2014-05-07”),101.869,101.87],[new Date(“2014-05-08”),101.627,101.63],[new Date(“2014-05-09”),101.825,101.83],[new Date(“2014-05-10”),101.818,101.82],[new Date(“2014-05-11”),101.844,101.84],[new Date(“2014-05-12”),102.123,102.12],[new Date(“2014-05-13”),102.206,102.21],[new Date(“2014-05-14”),101.913,101.91],[new Date(“2014-05-15”),101.628,101.63],[new Date(“2014-05-16”),101.567,101.57],[new Date(“2014-05-17”),101.516,101.52],[new Date(“2014-05-18”),101.522,101.52],[new Date(“2014-05-19”),101.486,101.49],[new Date(“2014-05-20”),101.323,101.32],[new Date(“2014-05-21”),101.420,101.42],[new Date(“2014-05-22”),101.651,101.65],[new Date(“2014-05-23”),101.902,101.90],[new Date(“2014-05-24”),101.948,101.95],[new Date(“2014-05-25”),101.892,101.89],[new Date(“2014-05-26”),101.945,101.95],[new Date(“2014-05-27”),101.988,101.99],[new Date(“2014-05-28”),101.836,101.84],[new Date(“2014-05-29”),101.772,101.77],[new Date(“2014-05-30”),101.752,101.75],[new Date(“2014-05-31″),101.755,101.76],]);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, 2014

01      103.5259
02      103.6889
↘0.163, 0.16%
03      103.8905
↘0.202, 0.19%
04      103.4111
↗0.479, 0.46%
05      103.3789
↗0.032, 0.03%
06      103.3297
↗0.049, 0.05%
07      103.1308
↗0.199, 0.19%
08      102.1323
↗0.998, 0.97%
09      102.1252
↗0.007, 0.01%
10      101.5741
↗0.551, 0.54%
11      101.6472
↘0.073, 0.07%
12      101.6142
↗0.033, 0.03%
13      101.5273
↗0.087, 0.09%
14      101.8163
↘0.289, 0.28%
15      101.8156
↗0.001, 0.00%
16      102.1565
↘0.341, 0.33%
17      102.3780
↘0.222, 0.22%
18      102.3826
↘0.005, 0.00%
19      102.4315
↘0.049, 0.05%
20      102.4319
↘0.000, 0.00%
21      102.5763
↘0.144, 0.14%
22      102.6008
↘0.025, 0.02%
23      102.5151
↗0.086, 0.08%
24      102.3149
↗0.200, 0.20%
25      102.2193
↗0.096, 0.09%
26      102.1870
↗0.032, 0.03%
27      102.1755
↗0.012, 0.01%
28      102.4365
↘0.261, 0.26%
29      102.5629
↘0.126, 0.12%
30      102.3091
↗0.254, 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(“2014-04-01”),103.526,103.53],[new Date(“2014-04-02”),103.689,103.69],[new Date(“2014-04-03”),103.891,103.89],[new Date(“2014-04-04”),103.411,103.41],[new Date(“2014-04-05”),103.379,103.38],[new Date(“2014-04-06”),103.330,103.33],[new Date(“2014-04-07”),103.131,103.13],[new Date(“2014-04-08”),102.132,102.13],[new Date(“2014-04-09”),102.125,102.13],[new Date(“2014-04-10”),101.574,101.57],[new Date(“2014-04-11”),101.647,101.65],[new Date(“2014-04-12”),101.614,101.61],[new Date(“2014-04-13”),101.527,101.53],[new Date(“2014-04-14”),101.816,101.82],[new Date(“2014-04-15”),101.816,101.82],[new Date(“2014-04-16”),102.157,102.16],[new Date(“2014-04-17”),102.378,102.38],[new Date(“2014-04-18”),102.383,102.38],[new Date(“2014-04-19”),102.432,102.43],[new Date(“2014-04-20”),102.432,102.43],[new Date(“2014-04-21”),102.576,102.58],[new Date(“2014-04-22”),102.601,102.60],[new Date(“2014-04-23”),102.515,102.52],[new Date(“2014-04-24”),102.315,102.31],[new Date(“2014-04-25”),102.219,102.22],[new Date(“2014-04-26”),102.187,102.19],[new Date(“2014-04-27”),102.176,102.18],[new Date(“2014-04-28”),102.437,102.44],[new Date(“2014-04-29”),102.563,102.56],[new Date(“2014-04-30″),102.309,102.31],]);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, 2014

01      101.8185
02      101.5880
↗0.231, 0.23%
03      101.4976
↗0.090, 0.09%
04      102.0841
↘0.587, 0.58%
05      102.2095
↘0.125, 0.12%
06      102.9433
↘0.734, 0.72%
07      103.1739
↘0.231, 0.22%
08      103.2484
↘0.075, 0.07%
09      103.1905
↗0.058, 0.06%
10      103.2730
↘0.082, 0.08%
11      103.0235
↗0.249, 0.24%
12      102.8370
↗0.186, 0.18%
13      102.0285
↗0.809, 0.79%
14      101.5744
↗0.454, 0.45%
15      101.3986
↗0.176, 0.17%
16      101.3669
↗0.032, 0.03%
17      101.7193
↘0.352, 0.35%
18      101.4524
↗0.267, 0.26%
19      102.2183
↘0.766, 0.75%
20      102.2507
↘0.032, 0.03%
21      102.2813
↘0.031, 0.03%
22      102.2608
↗0.020, 0.02%
23      102.2378
↗0.023, 0.02%
24      102.2460
↘0.008, 0.01%
25      102.2969
↘0.051, 0.05%
26      102.1025
↗0.194, 0.19%
27      102.2219
↘0.119, 0.12%
28      102.6959
↘0.474, 0.46%
29      102.7417
↘0.046, 0.04%
30      102.8842
↘0.142, 0.14%
31      103.1419
↘0.258, 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(“2014-03-01”),101.819,101.82],[new Date(“2014-03-02”),101.588,101.59],[new Date(“2014-03-03”),101.498,101.50],[new Date(“2014-03-04”),102.084,102.08],[new Date(“2014-03-05”),102.210,102.21],[new Date(“2014-03-06”),102.943,102.94],[new Date(“2014-03-07”),103.174,103.17],[new Date(“2014-03-08”),103.248,103.25],[new Date(“2014-03-09”),103.191,103.19],[new Date(“2014-03-10”),103.273,103.27],[new Date(“2014-03-11”),103.024,103.02],[new Date(“2014-03-12”),102.837,102.84],[new Date(“2014-03-13”),102.028,102.03],[new Date(“2014-03-14”),101.574,101.57],[new Date(“2014-03-15”),101.399,101.40],[new Date(“2014-03-16”),101.367,101.37],[new Date(“2014-03-17”),101.719,101.72],[new Date(“2014-03-18”),101.452,101.45],[new Date(“2014-03-19”),102.218,102.22],[new Date(“2014-03-20”),102.251,102.25],[new Date(“2014-03-21”),102.281,102.28],[new Date(“2014-03-22”),102.261,102.26],[new Date(“2014-03-23”),102.238,102.24],[new Date(“2014-03-24”),102.246,102.25],[new Date(“2014-03-25”),102.297,102.30],[new Date(“2014-03-26”),102.103,102.10],[new Date(“2014-03-27”),102.222,102.22],[new Date(“2014-03-28”),102.696,102.70],[new Date(“2014-03-29”),102.742,102.74],[new Date(“2014-03-30”),102.884,102.88],[new Date(“2014-03-31″),103.142,103.14],]);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, 2014

01      102.1314
02      102.1011
↗0.030, 0.03%
03      101.2604
↗0.841, 0.82%
04      101.6786
↘0.418, 0.41%
05      101.4530
↗0.226, 0.22%
06      101.9177
↘0.465, 0.46%
07      102.1845
↘0.267, 0.26%
08      102.2918
↘0.107, 0.11%
09      102.4915
↘0.200, 0.20%
10      102.2458
↗0.246, 0.24%
11      102.5513
↘0.305, 0.30%
12      102.4780
↗0.073, 0.07%
13      102.2699
↗0.208, 0.20%
14      101.8880
↗0.382, 0.37%
15      101.8358
↗0.052, 0.05%
16      101.7422
↗0.094, 0.09%
17      101.9162
↘0.174, 0.17%
18      102.2761
↘0.360, 0.35%
19      102.3074
↘0.031, 0.03%
20      102.3040
↗0.003, 0.00%
21      102.4200
↘0.116, 0.11%
22      102.5062
↘0.086, 0.08%
23      102.5359
↘0.030, 0.03%
24      102.4895
↗0.046, 0.05%
25      102.2328
↗0.257, 0.25%
26      102.3707
↘0.138, 0.13%
27      102.1928
↗0.178, 0.17%
28      101.8847
↗0.308, 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(“2014-02-01”),102.131,102.13],[new Date(“2014-02-02”),102.101,102.10],[new Date(“2014-02-03”),101.260,101.26],[new Date(“2014-02-04”),101.679,101.68],[new Date(“2014-02-05”),101.453,101.45],[new Date(“2014-02-06”),101.918,101.92],[new Date(“2014-02-07”),102.185,102.18],[new Date(“2014-02-08”),102.292,102.29],[new Date(“2014-02-09”),102.492,102.49],[new Date(“2014-02-10”),102.246,102.25],[new Date(“2014-02-11”),102.551,102.55],[new Date(“2014-02-12”),102.478,102.48],[new Date(“2014-02-13”),102.270,102.27],[new Date(“2014-02-14”),101.888,101.89],[new Date(“2014-02-15”),101.836,101.84],[new Date(“2014-02-16”),101.742,101.74],[new Date(“2014-02-17”),101.916,101.92],[new Date(“2014-02-18”),102.276,102.28],[new Date(“2014-02-19”),102.307,102.31],[new Date(“2014-02-20”),102.304,102.30],[new Date(“2014-02-21”),102.420,102.42],[new Date(“2014-02-22”),102.506,102.51],[new Date(“2014-02-23”),102.536,102.54],[new Date(“2014-02-24”),102.490,102.49],[new Date(“2014-02-25”),102.233,102.23],[new Date(“2014-02-26”),102.371,102.37],[new Date(“2014-02-27”),102.193,102.19],[new Date(“2014-02-28″),101.885,101.88],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2014

01      105.2909
02      104.9014
↗0.389, 0.37%
03      104.9136
↘0.012, 0.01%
04      104.7687
↗0.145, 0.14%
05      104.8478
↘0.079, 0.08%
06      104.3352
↗0.513, 0.49%
07      104.6248
↘0.290, 0.28%
08      104.7959
↘0.171, 0.16%
09      104.8177
↘0.022, 0.02%
10      104.3066
↗0.511, 0.49%
11      104.2653
↗0.041, 0.04%
12      104.0980
↗0.167, 0.16%
13      103.2646
↗0.833, 0.80%
14      104.0904
↘0.826, 0.80%
15      104.3708
↘0.280, 0.27%
16      104.3659
↗0.005, 0.00%
17      104.3707
↘0.005, 0.00%
18      104.3206
↗0.050, 0.05%
19      104.2962
↗0.024, 0.02%
20      104.2004
↗0.096, 0.09%
21      104.2554
↘0.055, 0.05%
22      104.5302
↘0.275, 0.26%
23      103.5437
↗0.986, 0.94%
24      102.6746
↗0.869, 0.84%
25      102.4262
↗0.248, 0.24%
26      102.0619
↗0.364, 0.36%
27      102.5340
↘0.472, 0.46%
28      103.1399
↘0.606, 0.59%
29      102.2934
↗0.847, 0.82%
30      102.7747
↘0.481, 0.47%
31      102.1054
↗0.669, 0.65%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-01-01”),105.291,105.29],[new Date(“2014-01-02”),104.901,104.90],[new Date(“2014-01-03”),104.914,104.91],[new Date(“2014-01-04”),104.769,104.77],[new Date(“2014-01-05”),104.848,104.85],[new Date(“2014-01-06”),104.335,104.34],[new Date(“2014-01-07”),104.625,104.62],[new Date(“2014-01-08”),104.796,104.80],[new Date(“2014-01-09”),104.818,104.82],[new Date(“2014-01-10”),104.307,104.31],[new Date(“2014-01-11”),104.265,104.27],[new Date(“2014-01-12”),104.098,104.10],[new Date(“2014-01-13”),103.265,103.26],[new Date(“2014-01-14”),104.090,104.09],[new Date(“2014-01-15”),104.371,104.37],[new Date(“2014-01-16”),104.366,104.37],[new Date(“2014-01-17”),104.371,104.37],[new Date(“2014-01-18”),104.321,104.32],[new Date(“2014-01-19”),104.296,104.30],[new Date(“2014-01-20”),104.200,104.20],[new Date(“2014-01-21”),104.255,104.26],[new Date(“2014-01-22”),104.530,104.53],[new Date(“2014-01-23”),103.544,103.54],[new Date(“2014-01-24”),102.675,102.67],[new Date(“2014-01-25”),102.426,102.43],[new Date(“2014-01-26”),102.062,102.06],[new Date(“2014-01-27”),102.534,102.53],[new Date(“2014-01-28”),103.140,103.14],[new Date(“2014-01-29”),102.293,102.29],[new Date(“2014-01-30”),102.775,102.77],[new Date(“2014-01-31″),102.105,102.11],]);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);
}