Japanese Yen JPY 2013 Conversion Rates

  • Opening Value is 86.582533 JPY per Dollar
  • Closing Value is 105.299701 JPY per Dollar
  • Change in Value during 2013 is 18.7172 which is 21.62%
  • Best Performance is on 2013-01-01 with 86.582533 JPY per Dollar
  • Lowest Performance is on 2013-12-31 with 105.299701 JPY per Dollar
  • Average Value is 97.6650 JPY per Dollar
  • Swing Between the higest and the lowest is 18.7172 per Dollar, that is 21.62% compared to the opening value.

USD to JPY Conversion Rates – 12 months

Date 1 USD =
2013-12-31 105.2997 JPY
2013-11-30 102.4184 JPY
2013-10-31 98.3251 JPY
2013-09-30 98.3175 JPY
2013-08-31 98.1718 JPY
2013-07-31 97.8420 JPY
2013-06-30 99.2727 JPY
2013-05-31 100.6733 JPY
2013-04-30 97.6487 JPY
2013-03-31 94.2335 JPY
2013-02-28 92.3554 JPY
2013-01-31 91.4301 JPY
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December, 2013

01      102.4670
02      102.8383
↘0.371, 0.36%
03      102.4698
↗0.369, 0.36%
04      102.4107
↗0.059, 0.06%
05      101.9003
↗0.510, 0.50%
06      102.7304
↘0.830, 0.81%
07      102.7606
↘0.030, 0.03%
08      103.0862
↘0.326, 0.32%
09      103.1874
↘0.101, 0.10%
10      102.8874
↗0.300, 0.29%
11      102.6021
↗0.285, 0.28%
12      103.3065
↘0.704, 0.69%
13      103.1321
↗0.174, 0.17%
14      103.2647
↘0.133, 0.13%
15      103.1893
↗0.075, 0.07%
16      103.0971
↗0.092, 0.09%
17      102.6859
↗0.411, 0.40%
18      104.0289
↘1.343, 1.31%
19      103.9878
↗0.041, 0.04%
20      104.0978
↘0.110, 0.11%
21      104.1388
↘0.041, 0.04%
22      104.0440
↗0.095, 0.09%
23      104.1500
↘0.106, 0.10%
24      104.2592
↘0.109, 0.10%
25      104.3863
↘0.127, 0.12%
26      104.6946
↘0.308, 0.30%
27      105.0698
↘0.375, 0.36%
28      105.1101
↘0.040, 0.04%
29      105.2682
↘0.158, 0.15%
30      105.1221
↗0.146, 0.14%
31      105.2997
↘0.178, 0.17%
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November, 2013

01      98.5650
02      98.6548
↘0.090, 0.09%
03      98.6237
↗0.031, 0.03%
04      98.6404
↘0.017, 0.02%
05      98.5766
↗0.064, 0.06%
06      98.6227
↘0.046, 0.05%
07      98.2400
↗0.383, 0.39%
08      98.9822
↘0.742, 0.76%
09      98.9405
↗0.042, 0.04%
10      99.1246
↘0.184, 0.19%
11      99.1552
↘0.031, 0.03%
12      99.5177
↘0.363, 0.37%
13      99.2849
↗0.233, 0.23%
14      99.9247
↘0.640, 0.64%
15      100.0909
↘0.166, 0.17%
16      100.1905
↘0.100, 0.10%
17      100.2244
↘0.034, 0.03%
18      99.9979
↗0.227, 0.23%
19      100.1593
↘0.161, 0.16%
20      100.0156
↗0.144, 0.14%
21      100.9382
↘0.923, 0.92%
22      101.1430
↘0.205, 0.20%
23      101.2540
↘0.111, 0.11%
24      101.2948
↘0.041, 0.04%
25      101.5147
↘0.220, 0.22%
26      101.3644
↗0.150, 0.15%
27      102.0773
↘0.713, 0.70%
28      102.1832
↘0.106, 0.10%
29      102.3844
↘0.201, 0.20%
30      102.4184
↘0.034, 0.03%
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October, 2013

01      98.0901
02      97.7091
↗0.381, 0.39%
03      97.5062
↗0.203, 0.21%
04      97.4322
↗0.074, 0.08%
05      97.4244
↗0.008, 0.01%
06      97.3507
↗0.074, 0.08%
07      96.8653
↗0.485, 0.50%
08      96.9545
↘0.089, 0.09%
09      97.3227
↘0.368, 0.38%
10      97.9119
↘0.589, 0.61%
11      98.3969
↘0.485, 0.50%
12      98.5266
↘0.130, 0.13%
13      98.4278
↗0.099, 0.10%
14      98.5778
↘0.150, 0.15%
15      98.3325
↗0.245, 0.25%
16      98.7286
↘0.396, 0.40%
17      98.0954
↗0.633, 0.64%
18      97.8586
↗0.237, 0.24%
19      97.7986
↗0.060, 0.06%
20      97.8358
↘0.037, 0.04%
21      98.0985
↘0.263, 0.27%
22      98.1695
↘0.071, 0.07%
23      97.4965
↗0.673, 0.69%
24      97.3918
↗0.105, 0.11%
25      97.3476
↗0.044, 0.05%
26      97.3774
↘0.030, 0.03%
27      97.4981
↘0.121, 0.12%
28      97.6303
↘0.132, 0.14%
29      98.0402
↘0.410, 0.42%
30      98.2984
↘0.258, 0.26%
31      98.3251
↘0.027, 0.03%
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September, 2013

01      98.2832
02      99.2151
↘0.932, 0.95%
03      99.4725
↘0.257, 0.26%
04      99.6694
↘0.197, 0.20%
05      100.0446
↘0.375, 0.38%
06      99.3329
↗0.712, 0.71%
07      99.2047
↗0.128, 0.13%
08      99.6254
↘0.421, 0.42%
09      99.5149
↗0.111, 0.11%
10      100.1788
↘0.664, 0.67%
11      100.0033
↗0.175, 0.18%
12      99.6375
↗0.366, 0.37%
13      99.4407
↗0.197, 0.20%
14      99.3847
↗0.056, 0.06%
15      99.0508
↗0.334, 0.34%
16      99.0814
↘0.031, 0.03%
17      99.1302
↘0.049, 0.05%
18      98.4756
↗0.655, 0.66%
19      99.2454
↘0.770, 0.78%
20      99.2648
↘0.019, 0.02%
21      99.3577
↘0.093, 0.09%
22      99.3383
↗0.019, 0.02%
23      98.9016
↗0.437, 0.44%
24      98.8550
↗0.047, 0.05%
25      98.5392
↗0.316, 0.32%
26      98.8242
↘0.285, 0.29%
27      98.3750
↗0.449, 0.45%
28      98.3410
↗0.034, 0.03%
29      98.0946
↗0.246, 0.25%
30      98.3175
↘0.223, 0.23%
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August, 2013

01      99.0277
02      99.0092
↗0.018, 0.02%
03      99.0069
↗0.002, 0.00%
04      98.9232
↗0.084, 0.08%
05      98.4218
↗0.501, 0.51%
06      97.9972
↗0.425, 0.43%
07      96.8158
↗1.181, 1.21%
08      96.6168
↗0.199, 0.21%
09      96.3428
↗0.274, 0.28%
10      96.3013
↗0.042, 0.04%
11      96.3019
↘0.001, 0.00%
12      96.9542
↘0.652, 0.68%
13      97.9077
↘0.953, 0.98%
14      98.0137
↘0.106, 0.11%
15      97.5327
↗0.481, 0.49%
16      97.5971
↘0.064, 0.07%
17      97.5471
↗0.050, 0.05%
18      97.6325
↘0.085, 0.09%
19      97.6455
↘0.013, 0.01%
20      97.4083
↗0.237, 0.24%
21      97.6799
↘0.272, 0.28%
22      98.4827
↘0.803, 0.82%
23      98.6741
↘0.191, 0.19%
24      98.7332
↘0.059, 0.06%
25      98.7015
↗0.032, 0.03%
26      98.5183
↗0.183, 0.19%
27      97.5081
↗1.010, 1.03%
28      97.6895
↘0.181, 0.19%
29      98.1716
↘0.482, 0.49%
30      98.1296
↗0.042, 0.04%
31      98.1718
↘0.042, 0.04%
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July, 2013

01      99.5434
02      100.2460
↘0.703, 0.71%
03      99.9340
↗0.312, 0.31%
04      100.1181
↘0.184, 0.18%
05      100.7002
↘0.582, 0.58%
06      101.0533
↘0.353, 0.35%
07      101.3026
↘0.249, 0.25%
08      101.0152
↗0.287, 0.28%
09      101.1418
↘0.127, 0.13%
10      99.6732
↗1.469, 1.45%
11      99.4114
↗0.262, 0.26%
12      99.1855
↗0.226, 0.23%
13      99.2669
↘0.081, 0.08%
14      99.2506
↗0.016, 0.02%
15      99.7294
↘0.479, 0.48%
16      99.3530
↗0.376, 0.38%
17      99.5823
↘0.229, 0.23%
18      100.1046
↘0.522, 0.52%
19      100.2650
↘0.160, 0.16%
20      100.4747
↘0.210, 0.21%
21      100.4446
↗0.030, 0.03%
22      99.9224
↗0.522, 0.52%
23      99.7496
↗0.173, 0.17%
24      100.1762
↘0.427, 0.43%
25      99.5848
↗0.591, 0.59%
26      98.6927
↗0.892, 0.90%
27      98.3381
↗0.355, 0.36%
28      98.1513
↗0.187, 0.19%
29      97.9812
↗0.170, 0.17%
30      98.0428
↘0.062, 0.06%
31      97.8420
↗0.201, 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”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-07-01”),99.543,99.54],[new Date(“2013-07-02”),100.246,100.25],[new Date(“2013-07-03”),99.934,99.93],[new Date(“2013-07-04”),100.118,100.12],[new Date(“2013-07-05”),100.700,100.70],[new Date(“2013-07-06”),101.053,101.05],[new Date(“2013-07-07”),101.303,101.30],[new Date(“2013-07-08”),101.015,101.02],[new Date(“2013-07-09”),101.142,101.14],[new Date(“2013-07-10”),99.673,99.67],[new Date(“2013-07-11”),99.411,99.41],[new Date(“2013-07-12”),99.186,99.19],[new Date(“2013-07-13”),99.267,99.27],[new Date(“2013-07-14”),99.251,99.25],[new Date(“2013-07-15”),99.729,99.73],[new Date(“2013-07-16”),99.353,99.35],[new Date(“2013-07-17”),99.582,99.58],[new Date(“2013-07-18”),100.105,100.10],[new Date(“2013-07-19”),100.265,100.27],[new Date(“2013-07-20”),100.475,100.47],[new Date(“2013-07-21”),100.445,100.44],[new Date(“2013-07-22”),99.922,99.92],[new Date(“2013-07-23”),99.750,99.75],[new Date(“2013-07-24”),100.176,100.18],[new Date(“2013-07-25”),99.585,99.58],[new Date(“2013-07-26”),98.693,98.69],[new Date(“2013-07-27”),98.338,98.34],[new Date(“2013-07-28”),98.151,98.15],[new Date(“2013-07-29”),97.981,97.98],[new Date(“2013-07-30”),98.043,98.04],[new Date(“2013-07-31″),97.842,97.84],]);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_7’));
chart.draw(data, options);
}

June, 2013

01      100.5803
02      100.5589
↗0.021, 0.02%
03      99.8086
↗0.750, 0.75%
04      100.1115
↘0.303, 0.30%
05      99.4610
↗0.651, 0.65%
06      98.1465
↗1.314, 1.32%
07      97.5420
↗0.604, 0.62%
08      97.3722
↗0.170, 0.17%
09      97.7063
↘0.334, 0.34%
10      98.6228
↘0.916, 0.94%
11      96.8964
↗1.726, 1.75%
12      96.4075
↗0.489, 0.50%
13      95.4427
↗0.965, 1.00%
14      94.4397
↗1.003, 1.05%
15      94.3310
↗0.109, 0.12%
16      94.1817
↗0.149, 0.16%
17      94.5455
↘0.364, 0.39%
18      95.2595
↘0.714, 0.76%
19      95.8354
↘0.576, 0.60%
20      97.0316
↘1.196, 1.25%
21      97.7391
↘0.708, 0.73%
22      97.7774
↘0.038, 0.04%
23      98.1346
↘0.357, 0.37%
24      97.7932
↗0.341, 0.35%
25      97.8948
↘0.102, 0.10%
26      97.7040
↗0.191, 0.19%
27      98.2396
↘0.536, 0.55%
28      98.9021
↘0.663, 0.67%
29      99.1218
↘0.220, 0.22%
30      99.2727
↘0.151, 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(“2013-06-01”),100.580,100.58],[new Date(“2013-06-02”),100.559,100.56],[new Date(“2013-06-03”),99.809,99.81],[new Date(“2013-06-04”),100.111,100.11],[new Date(“2013-06-05”),99.461,99.46],[new Date(“2013-06-06”),98.146,98.15],[new Date(“2013-06-07”),97.542,97.54],[new Date(“2013-06-08”),97.372,97.37],[new Date(“2013-06-09”),97.706,97.71],[new Date(“2013-06-10”),98.623,98.62],[new Date(“2013-06-11”),96.896,96.90],[new Date(“2013-06-12”),96.407,96.41],[new Date(“2013-06-13”),95.443,95.44],[new Date(“2013-06-14”),94.440,94.44],[new Date(“2013-06-15”),94.331,94.33],[new Date(“2013-06-16”),94.182,94.18],[new Date(“2013-06-17”),94.545,94.55],[new Date(“2013-06-18”),95.259,95.26],[new Date(“2013-06-19”),95.835,95.84],[new Date(“2013-06-20”),97.032,97.03],[new Date(“2013-06-21”),97.739,97.74],[new Date(“2013-06-22”),97.777,97.78],[new Date(“2013-06-23”),98.135,98.13],[new Date(“2013-06-24”),97.793,97.79],[new Date(“2013-06-25”),97.895,97.89],[new Date(“2013-06-26”),97.704,97.70],[new Date(“2013-06-27”),98.240,98.24],[new Date(“2013-06-28”),98.902,98.90],[new Date(“2013-06-29”),99.122,99.12],[new Date(“2013-06-30″),99.273,99.27],]);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, 2013

01      97.4183
02      97.8875
↘0.469, 0.48%
03      98.5662
↘0.679, 0.69%
04      98.9006
↘0.334, 0.34%
05      99.1028
↘0.202, 0.20%
06      99.2752
↘0.172, 0.17%
07      99.0519
↗0.223, 0.22%
08      98.9616
↗0.090, 0.09%
09      99.9132
↘0.952, 0.96%
10      101.1155
↘1.202, 1.20%
11      101.5266
↘0.411, 0.41%
12      101.7063
↘0.180, 0.18%
13      101.7431
↘0.037, 0.04%
14      102.0216
↘0.279, 0.27%
15      102.0483
↘0.027, 0.03%
16      102.3010
↘0.253, 0.25%
17      102.9702
↘0.669, 0.65%
18      102.9127
↗0.057, 0.06%
19      102.6624
↗0.250, 0.24%
20      102.5213
↗0.141, 0.14%
21      102.5996
↘0.078, 0.08%
22      102.9530
↘0.353, 0.34%
23      101.9867
↗0.966, 0.94%
24      101.5457
↗0.441, 0.43%
25      101.2698
↗0.276, 0.27%
26      101.1872
↗0.083, 0.08%
27      101.0902
↗0.097, 0.10%
28      101.9888
↘0.899, 0.89%
29      101.3893
↗0.599, 0.59%
30      100.9331
↗0.456, 0.45%
31      100.6733
↗0.260, 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(“2013-05-01”),97.418,97.42],[new Date(“2013-05-02”),97.887,97.89],[new Date(“2013-05-03”),98.566,98.57],[new Date(“2013-05-04”),98.901,98.90],[new Date(“2013-05-05”),99.103,99.10],[new Date(“2013-05-06”),99.275,99.28],[new Date(“2013-05-07”),99.052,99.05],[new Date(“2013-05-08”),98.962,98.96],[new Date(“2013-05-09”),99.913,99.91],[new Date(“2013-05-10”),101.116,101.12],[new Date(“2013-05-11”),101.527,101.53],[new Date(“2013-05-12”),101.706,101.71],[new Date(“2013-05-13”),101.743,101.74],[new Date(“2013-05-14”),102.022,102.02],[new Date(“2013-05-15”),102.048,102.05],[new Date(“2013-05-16”),102.301,102.30],[new Date(“2013-05-17”),102.970,102.97],[new Date(“2013-05-18”),102.913,102.91],[new Date(“2013-05-19”),102.662,102.66],[new Date(“2013-05-20”),102.521,102.52],[new Date(“2013-05-21”),102.600,102.60],[new Date(“2013-05-22”),102.953,102.95],[new Date(“2013-05-23”),101.987,101.99],[new Date(“2013-05-24”),101.546,101.55],[new Date(“2013-05-25”),101.270,101.27],[new Date(“2013-05-26”),101.187,101.19],[new Date(“2013-05-27”),101.090,101.09],[new Date(“2013-05-28”),101.989,101.99],[new Date(“2013-05-29”),101.389,101.39],[new Date(“2013-05-30”),100.933,100.93],[new Date(“2013-05-31″),100.673,100.67],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2013

01      93.5397
02      93.4781
↗0.062, 0.07%
03      93.1899
↗0.288, 0.31%
04      95.5848
↘2.395, 2.57%
05      96.4739
↘0.889, 0.93%
06      97.1414
↘0.667, 0.69%
07      97.8513
↘0.710, 0.73%
08      98.9705
↘1.119, 1.14%
09      99.0122
↘0.042, 0.04%
10      99.5701
↘0.558, 0.56%
11      99.6331
↘0.063, 0.06%
12      98.6792
↗0.954, 0.96%
13      98.6533
↗0.026, 0.03%
14      98.4593
↗0.194, 0.20%
15      97.1672
↗1.292, 1.31%
16      97.7654
↘0.598, 0.62%
17      98.0610
↘0.296, 0.30%
18      98.1692
↘0.108, 0.11%
19      99.1748
↘1.006, 1.02%
20      99.3974
↘0.223, 0.22%
21      99.6976
↘0.300, 0.30%
22      99.3705
↗0.327, 0.33%
23      99.4617
↘0.091, 0.09%
24      99.4391
↗0.023, 0.02%
25      99.3343
↗0.105, 0.11%
26      98.4415
↗0.893, 0.90%
27      98.2056
↗0.236, 0.24%
28      97.9751
↗0.231, 0.23%
29      97.8961
↗0.079, 0.08%
30      97.6487
↗0.247, 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(“2013-04-01”),93.540,93.54],[new Date(“2013-04-02”),93.478,93.48],[new Date(“2013-04-03”),93.190,93.19],[new Date(“2013-04-04”),95.585,95.58],[new Date(“2013-04-05”),96.474,96.47],[new Date(“2013-04-06”),97.141,97.14],[new Date(“2013-04-07”),97.851,97.85],[new Date(“2013-04-08”),98.971,98.97],[new Date(“2013-04-09”),99.012,99.01],[new Date(“2013-04-10”),99.570,99.57],[new Date(“2013-04-11”),99.633,99.63],[new Date(“2013-04-12”),98.679,98.68],[new Date(“2013-04-13”),98.653,98.65],[new Date(“2013-04-14”),98.459,98.46],[new Date(“2013-04-15”),97.167,97.17],[new Date(“2013-04-16”),97.765,97.77],[new Date(“2013-04-17”),98.061,98.06],[new Date(“2013-04-18”),98.169,98.17],[new Date(“2013-04-19”),99.175,99.17],[new Date(“2013-04-20”),99.397,99.40],[new Date(“2013-04-21”),99.698,99.70],[new Date(“2013-04-22”),99.371,99.37],[new Date(“2013-04-23”),99.462,99.46],[new Date(“2013-04-24”),99.439,99.44],[new Date(“2013-04-25”),99.334,99.33],[new Date(“2013-04-26”),98.442,98.44],[new Date(“2013-04-27”),98.206,98.21],[new Date(“2013-04-28”),97.975,97.98],[new Date(“2013-04-29”),97.896,97.90],[new Date(“2013-04-30″),97.649,97.65],]);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, 2013

01      93.1605
02      93.4393
↘0.279, 0.30%
03      93.5368
↘0.098, 0.10%
04      93.5220
↗0.015, 0.02%
05      93.3289
↗0.193, 0.21%
06      93.7330
↘0.404, 0.43%
07      94.5274
↘0.794, 0.85%
08      95.5750
↘1.048, 1.11%
09      95.8738
↘0.299, 0.31%
10      96.0131
↘0.139, 0.15%
11      96.3595
↘0.346, 0.36%
12      96.0132
↗0.346, 0.36%
13      96.1088
↘0.096, 0.10%
14      96.0320
↗0.077, 0.08%
15      95.6099
↗0.422, 0.44%
16      95.4483
↗0.162, 0.17%
17      95.1466
↗0.302, 0.32%
18      95.2646
↘0.118, 0.12%
19      95.0333
↗0.231, 0.24%
20      95.8790
↘0.846, 0.89%
21      95.2680
↗0.611, 0.64%
22      94.7544
↗0.514, 0.54%
23      94.5550
↗0.199, 0.21%
24      94.5052
↗0.050, 0.05%
25      94.2745
↗0.231, 0.24%
26      94.5411
↘0.267, 0.28%
27      94.3799
↗0.161, 0.17%
28      94.2955
↗0.084, 0.09%
29      94.1749
↗0.121, 0.13%
30      94.1995
↘0.025, 0.03%
31      94.2335
↘0.034, 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(“2013-03-01”),93.161,93.16],[new Date(“2013-03-02”),93.439,93.44],[new Date(“2013-03-03”),93.537,93.54],[new Date(“2013-03-04”),93.522,93.52],[new Date(“2013-03-05”),93.329,93.33],[new Date(“2013-03-06”),93.733,93.73],[new Date(“2013-03-07”),94.527,94.53],[new Date(“2013-03-08”),95.575,95.57],[new Date(“2013-03-09”),95.874,95.87],[new Date(“2013-03-10”),96.013,96.01],[new Date(“2013-03-11”),96.360,96.36],[new Date(“2013-03-12”),96.013,96.01],[new Date(“2013-03-13”),96.109,96.11],[new Date(“2013-03-14”),96.032,96.03],[new Date(“2013-03-15”),95.610,95.61],[new Date(“2013-03-16”),95.448,95.45],[new Date(“2013-03-17”),95.147,95.15],[new Date(“2013-03-18”),95.265,95.26],[new Date(“2013-03-19”),95.033,95.03],[new Date(“2013-03-20”),95.879,95.88],[new Date(“2013-03-21”),95.268,95.27],[new Date(“2013-03-22”),94.754,94.75],[new Date(“2013-03-23”),94.555,94.55],[new Date(“2013-03-24”),94.505,94.51],[new Date(“2013-03-25”),94.275,94.27],[new Date(“2013-03-26”),94.541,94.54],[new Date(“2013-03-27”),94.380,94.38],[new Date(“2013-03-28”),94.296,94.30],[new Date(“2013-03-29”),94.175,94.17],[new Date(“2013-03-30”),94.200,94.20],[new Date(“2013-03-31″),94.234,94.23],]);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, 2013

01      92.2367
02      92.4546
↘0.218, 0.24%
03      92.8210
↘0.366, 0.40%
04      92.2702
↗0.551, 0.59%
05      93.3500
↘1.080, 1.17%
06      93.3570
↘0.007, 0.01%
07      93.7041
↘0.347, 0.37%
08      92.8037
↗0.900, 0.96%
09      92.7968
↗0.007, 0.01%
10      92.6395
↗0.157, 0.17%
11      93.7870
↘1.147, 1.24%
12      93.4125
↗0.374, 0.40%
13      93.4219
↘0.009, 0.01%
14      93.1227
↗0.299, 0.32%
15      93.3210
↘0.198, 0.21%
16      93.2425
↗0.079, 0.08%
17      93.6968
↘0.454, 0.49%
18      93.8020
↘0.105, 0.11%
19      93.6583
↗0.144, 0.15%
20      93.6240
↗0.034, 0.04%
21      93.1974
↗0.427, 0.46%
22      93.3478
↘0.150, 0.16%
23      93.3718
↘0.024, 0.03%
24      93.7607
↘0.389, 0.42%
25      92.6693
↗1.091, 1.16%
26      92.3352
↗0.334, 0.36%
27      92.0705
↗0.265, 0.29%
28      92.3554
↘0.285, 0.31%
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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January, 2013

01      86.5825
02      87.1319
↘0.549, 0.63%
03      87.3609
↘0.229, 0.26%
04      87.7832
↘0.422, 0.48%
05      87.9423
↘0.159, 0.18%
06      88.0232
↘0.081, 0.09%
07      87.6107
↗0.412, 0.47%
08      87.2479
↗0.363, 0.41%
09      87.8035
↘0.556, 0.64%
10      88.4767
↘0.673, 0.77%
11      88.9366
↘0.460, 0.52%
12      89.1524
↘0.216, 0.24%
13      89.2928
↘0.140, 0.16%
14      89.4148
↘0.122, 0.14%
15      88.8830
↗0.532, 0.59%
16      88.4897
↗0.393, 0.44%
17      89.4207
↘0.931, 1.05%
18      89.8391
↘0.418, 0.47%
19      90.0481
↘0.209, 0.23%
20      90.1114
↘0.063, 0.07%
21      89.8101
↗0.301, 0.33%
22      89.0516
↗0.758, 0.84%
23      88.6127
↗0.439, 0.49%
24      89.8437
↘1.231, 1.39%
25      90.5606
↘0.717, 0.80%
26      90.8694
↘0.309, 0.34%
27      90.9761
↘0.107, 0.12%
28      90.7475
↗0.229, 0.25%
29      90.7481
↘0.001, 0.00%
30      91.0382
↘0.290, 0.32%
31      91.4301
↘0.392, 0.43%
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