South Korean Won KRW 2013 Conversion Rates

  • Opening Value is 1063.683959 KRW per Dollar
  • Closing Value is 1052.800018 KRW per Dollar
  • Change in Value during 2013 is -10.8839 which is -1.02%
  • Best Performance is on 2013-12-18 with 1051.584984 KRW per Dollar
  • Lowest Performance is on 2013-06-24 with 1160.968798 KRW per Dollar
  • Average Value is 1,094.9225 KRW per Dollar
  • Swing Between the higest and the lowest is 109.3838 per Dollar, that is 10.28% compared to the opening value.

USD to KRW Conversion Rates – 12 months

Date 1 USD =
2013-12-31 1,052.8000 KRW
2013-11-30 1,058.3983 KRW
2013-10-31 1,062.0636 KRW
2013-09-30 1,074.0491 KRW
2013-08-31 1,109.9436 KRW
2013-07-31 1,120.8161 KRW
2013-06-30 1,142.9930 KRW
2013-05-31 1,129.9658 KRW
2013-04-30 1,105.2240 KRW
2013-03-31 1,112.2465 KRW
2013-02-28 1,085.0397 KRW
2013-01-31 1,087.8049 KRW
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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title: ‘Conversion Rate’
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‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2013

01      1,058.2300
02      1,057.9933
↗0.237, 0.02%
03      1,060.3000
↘2.307, 0.22%
04      1,060.8217
↘0.522, 0.05%
05      1,059.9033
↗0.918, 0.09%
06      1,058.1517
↗1.752, 0.17%
07      1,056.9667
↗1.185, 0.11%
08      1,057.2950
↘0.328, 0.03%
09      1,053.8517
↗3.443, 0.33%
10      1,052.7550
↗1.097, 0.10%
11      1,052.1283
↗0.627, 0.06%
12      1,051.9167
↗0.212, 0.02%
13      1,052.6434
↘0.727, 0.07%
14      1,053.2217
↘0.578, 0.05%
15      1,052.9567
↗0.265, 0.03%
16      1,052.6183
↗0.338, 0.03%
17      1,051.6467
↗0.972, 0.09%
18      1,051.5850
↗0.062, 0.01%
19      1,057.2017
↘5.617, 0.53%
20      1,060.8350
↘3.633, 0.34%
21      1,061.7733
↘0.938, 0.09%
22      1,061.6733
↗0.100, 0.01%
23      1,061.2967
↗0.377, 0.04%
24      1,059.9750
↗1.322, 0.12%
25      1,059.8717
↗0.103, 0.01%
26      1,059.8117
↗0.060, 0.01%
27      1,056.2050
↗3.607, 0.34%
28      1,054.7317
↗1.473, 0.14%
29      1,054.3050
↗0.427, 0.04%
30      1,055.0767
↘0.772, 0.07%
31      1,052.8000
↗2.277, 0.22%
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‘colors’:[”]
};
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chart.draw(data, options);
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November, 2013

01      1,061.3278
02      1,061.9061
↘0.578, 0.05%
03      1,061.8773
↗0.029, 0.00%
04      1,062.5923
↘0.715, 0.07%
05      1,061.6750
↗0.917, 0.09%
06      1,060.8133
↗0.862, 0.08%
07      1,062.4783
↘1.665, 0.16%
08      1,063.0617
↘0.583, 0.05%
09      1,064.6733
↘1.612, 0.15%
10      1,063.6267
↗1.047, 0.10%
11      1,070.9150
↘7.288, 0.69%
12      1,071.7833
↘0.868, 0.08%
13      1,071.8234
↘0.040, 0.00%
14      1,069.5900
↗2.233, 0.21%
15      1,064.9200
↗4.670, 0.44%
16      1,063.6217
↗1.298, 0.12%
17      1,063.0833
↗0.538, 0.05%
18      1,056.7400
↗6.343, 0.60%
19      1,055.5917
↗1.148, 0.11%
20      1,057.3683
↘1.777, 0.17%
21      1,060.6450
↘3.277, 0.31%
22      1,061.2766
↘0.632, 0.06%
23      1,061.1450
↗0.132, 0.01%
24      1,061.0667
↗0.078, 0.01%
25      1,061.3500
↘0.283, 0.03%
26      1,060.6517
↗0.698, 0.07%
27      1,060.9617
↘0.310, 0.03%
28      1,061.3916
↘0.430, 0.04%
29      1,059.2483
↗2.143, 0.20%
30      1,058.3983
↗0.850, 0.08%
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‘colors’:[”]
};
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chart.draw(data, options);
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October, 2013

01      1,074.6891
02      1,074.4416
↗0.247, 0.02%
03      1,073.4853
↗0.956, 0.09%
04      1,072.0991
↗1.386, 0.13%
05      1,071.1497
↗0.949, 0.09%
06      1,071.7660
↘0.616, 0.06%
07      1,072.9703
↘1.204, 0.11%
08      1,072.9829
↘0.013, 0.00%
09      1,075.5135
↘2.531, 0.24%
10      1,073.4653
↗2.048, 0.19%
11      1,072.0816
↗1.384, 0.13%
12      1,071.4628
↗0.619, 0.06%
13      1,071.5678
↘0.105, 0.01%
14      1,071.7216
↘0.154, 0.01%
15      1,067.6669
↗4.055, 0.38%
16      1,066.5252
↗1.142, 0.11%
17      1,063.6423
↗2.883, 0.27%
18      1,061.9761
↗1.666, 0.16%
19      1,060.7764
↗1.200, 0.11%
20      1,060.6776
↗0.099, 0.01%
21      1,061.7890
↘1.111, 0.10%
22      1,060.3376
↗1.451, 0.14%
23      1,058.1165
↗2.221, 0.21%
24      1,060.4765
↘2.360, 0.22%
25      1,061.6015
↘1.125, 0.11%
26      1,062.5298
↘0.928, 0.09%
27      1,061.9998
↗0.530, 0.05%
28      1,061.4526
↗0.547, 0.05%
29      1,061.7848
↘0.332, 0.03%
30      1,060.8473
↗0.938, 0.09%
31      1,062.0636
↘1.216, 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”);
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title: ‘Date’
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title: ‘Conversion Rate’
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‘colors’:[”]
};
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chart.draw(data, options);
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September, 2013

01      1,110.0156
02      1,101.5020
↗8.514, 0.77%
03      1,099.3422
↗2.160, 0.20%
04      1,094.7694
↗4.573, 0.42%
05      1,097.7330
↘2.964, 0.27%
06      1,093.1132
↗4.620, 0.42%
07      1,093.1132
→0.000, 0.00%
08      1,091.3442
↗1.769, 0.16%
09      1,086.5229
↗4.821, 0.44%
10      1,086.0547
↗0.468, 0.04%
11      1,085.6116
↗0.443, 0.04%
12      1,085.0984
↗0.513, 0.05%
13      1,086.0979
↘0.999, 0.09%
14      1,086.2441
↘0.146, 0.01%
15      1,085.6978
↗0.546, 0.05%
16      1,082.1515
↗3.546, 0.33%
17      1,083.0009
↘0.849, 0.08%
18      1,080.0483
↗2.953, 0.27%
19      1,078.4154
↗1.633, 0.15%
20      1,074.9741
↗3.441, 0.32%
21      1,078.0697
↘3.096, 0.29%
22      1,078.0984
↘0.029, 0.00%
23      1,074.6110
↗3.487, 0.32%
24      1,074.0535
↗0.558, 0.05%
25      1,076.5128
↘2.459, 0.23%
26      1,076.3941
↗0.119, 0.01%
27      1,075.0541
↗1.340, 0.12%
28      1,074.9966
↗0.058, 0.01%
29      1,074.9016
↗0.095, 0.01%
30      1,074.0491
↗0.852, 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”);
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
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August, 2013

01      1,122.9439
02      1,123.5089
↘0.565, 0.05%
03      1,123.7869
↘0.278, 0.02%
04      1,122.7999
↗0.987, 0.09%
05      1,115.9171
↗6.883, 0.61%
06      1,115.4513
↗0.466, 0.04%
07      1,116.5257
↘1.074, 0.10%
08      1,113.1912
↗3.335, 0.30%
09      1,112.1812
↗1.010, 0.09%
10      1,111.8602
↗0.321, 0.03%
11      1,111.9202
↘0.060, 0.01%
12      1,113.9154
↘1.995, 0.18%
13      1,115.7603
↘1.845, 0.17%
14      1,118.2326
↘2.472, 0.22%
15      1,118.2526
↘0.020, 0.00%
16      1,114.6262
↗3.626, 0.32%
17      1,113.8792
↗0.747, 0.07%
18      1,113.7332
↗0.146, 0.01%
19      1,116.4233
↘2.690, 0.24%
20      1,119.4612
↘3.038, 0.27%
21      1,119.0376
↗0.424, 0.04%
22      1,121.2919
↘2.254, 0.20%
23      1,116.5413
↗4.751, 0.42%
24      1,114.9911
↗1.550, 0.14%
25      1,114.3421
↗0.649, 0.06%
26      1,113.2064
↗1.136, 0.10%
27      1,116.0653
↘2.859, 0.26%
28      1,115.2423
↗0.823, 0.07%
29      1,112.3016
↗2.941, 0.26%
30      1,110.4686
↗1.833, 0.16%
31      1,109.9436
↗0.525, 0.05%
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(“2013-08-01”),1,122.944,1,122.94],[new Date(“2013-08-02”),1,123.509,1,123.51],[new Date(“2013-08-03”),1,123.787,1,123.79],[new Date(“2013-08-04”),1,122.800,1,122.80],[new Date(“2013-08-05”),1,115.917,1,115.92],[new Date(“2013-08-06”),1,115.451,1,115.45],[new Date(“2013-08-07”),1,116.526,1,116.53],[new Date(“2013-08-08”),1,113.191,1,113.19],[new Date(“2013-08-09”),1,112.181,1,112.18],[new Date(“2013-08-10”),1,111.860,1,111.86],[new Date(“2013-08-11”),1,111.920,1,111.92],[new Date(“2013-08-12”),1,113.915,1,113.92],[new Date(“2013-08-13”),1,115.760,1,115.76],[new Date(“2013-08-14”),1,118.233,1,118.23],[new Date(“2013-08-15”),1,118.253,1,118.25],[new Date(“2013-08-16”),1,114.626,1,114.63],[new Date(“2013-08-17”),1,113.879,1,113.88],[new Date(“2013-08-18”),1,113.733,1,113.73],[new Date(“2013-08-19”),1,116.423,1,116.42],[new Date(“2013-08-20”),1,119.461,1,119.46],[new Date(“2013-08-21”),1,119.038,1,119.04],[new Date(“2013-08-22”),1,121.292,1,121.29],[new Date(“2013-08-23”),1,116.541,1,116.54],[new Date(“2013-08-24”),1,114.991,1,114.99],[new Date(“2013-08-25”),1,114.342,1,114.34],[new Date(“2013-08-26”),1,113.206,1,113.21],[new Date(“2013-08-27”),1,116.065,1,116.07],[new Date(“2013-08-28”),1,115.242,1,115.24],[new Date(“2013-08-29”),1,112.302,1,112.30],[new Date(“2013-08-30”),1,110.469,1,110.47],[new Date(“2013-08-31″),1,109.944,1,109.94],]);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_8’));
chart.draw(data, options);
}

July, 2013

01      1,137.1630
02      1,136.1159
↗1.047, 0.09%
03      1,140.6589
↘4.543, 0.40%
04      1,139.4905
↗1.168, 0.10%
05      1,144.1456
↘4.655, 0.41%
06      1,144.9280
↘0.782, 0.07%
07      1,145.3255
↘0.398, 0.03%
08      1,147.0707
↘1.745, 0.15%
09      1,142.8915
↗4.179, 0.36%
10      1,137.1259
↗5.766, 0.50%
11      1,127.5801
↗9.546, 0.84%
12      1,124.9828
↗2.597, 0.23%
13      1,124.2236
↗0.759, 0.07%
14      1,124.2286
↘0.005, 0.00%
15      1,123.0764
↗1.152, 0.10%
16      1,117.8658
↗5.211, 0.46%
17      1,117.8559
↗0.010, 0.00%
18      1,121.1784
↘3.323, 0.30%
19      1,120.5059
↗0.672, 0.06%
20      1,121.2403
↘0.734, 0.07%
21      1,120.4653
↗0.775, 0.07%
22      1,120.0640
↗0.401, 0.04%
23      1,118.5691
↗1.495, 0.13%
24      1,117.0116
↗1.558, 0.14%
25      1,117.2141
↘0.203, 0.02%
26      1,113.2765
↗3.938, 0.35%
27      1,112.9177
↗0.359, 0.03%
28      1,111.6377
↗1.280, 0.12%
29      1,111.5378
↗0.100, 0.01%
30      1,114.3477
↘2.810, 0.25%
31      1,120.8161
↘6.468, 0.58%
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”),1,137.163,1,137.16],[new Date(“2013-07-02”),1,136.116,1,136.12],[new Date(“2013-07-03”),1,140.659,1,140.66],[new Date(“2013-07-04”),1,139.491,1,139.49],[new Date(“2013-07-05”),1,144.146,1,144.15],[new Date(“2013-07-06”),1,144.928,1,144.93],[new Date(“2013-07-07”),1,145.326,1,145.33],[new Date(“2013-07-08”),1,147.071,1,147.07],[new Date(“2013-07-09”),1,142.891,1,142.89],[new Date(“2013-07-10”),1,137.126,1,137.13],[new Date(“2013-07-11”),1,127.580,1,127.58],[new Date(“2013-07-12”),1,124.983,1,124.98],[new Date(“2013-07-13”),1,124.224,1,124.22],[new Date(“2013-07-14”),1,124.229,1,124.23],[new Date(“2013-07-15”),1,123.076,1,123.08],[new Date(“2013-07-16”),1,117.866,1,117.87],[new Date(“2013-07-17”),1,117.856,1,117.86],[new Date(“2013-07-18”),1,121.178,1,121.18],[new Date(“2013-07-19”),1,120.506,1,120.51],[new Date(“2013-07-20”),1,121.240,1,121.24],[new Date(“2013-07-21”),1,120.465,1,120.47],[new Date(“2013-07-22”),1,120.064,1,120.06],[new Date(“2013-07-23”),1,118.569,1,118.57],[new Date(“2013-07-24”),1,117.012,1,117.01],[new Date(“2013-07-25”),1,117.214,1,117.21],[new Date(“2013-07-26”),1,113.277,1,113.28],[new Date(“2013-07-27”),1,112.918,1,112.92],[new Date(“2013-07-28”),1,111.638,1,111.64],[new Date(“2013-07-29”),1,111.538,1,111.54],[new Date(“2013-07-30”),1,114.348,1,114.35],[new Date(“2013-07-31″),1,120.816,1,120.82],]);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      1,130.7317
02      1,131.1679
↘0.436, 0.04%
03      1,124.7845
↗6.383, 0.56%
04      1,123.9711
↗0.813, 0.07%
05      1,119.3041
↗4.667, 0.42%
06      1,117.8546
↗1.450, 0.13%
07      1,119.2321
↘1.378, 0.12%
08      1,118.4821
↗0.750, 0.07%
09      1,120.3021
↘1.820, 0.16%
10      1,126.6146
↘6.312, 0.56%
11      1,127.5292
↘0.915, 0.08%
12      1,131.6005
↘4.071, 0.36%
13      1,131.1322
↗0.468, 0.04%
14      1,128.4553
↗2.677, 0.24%
15      1,127.6402
↗0.815, 0.07%
16      1,127.1314
↗0.509, 0.05%
17      1,127.3603
↘0.229, 0.02%
18      1,131.6667
↘4.306, 0.38%
19      1,132.4609
↘0.794, 0.07%
20      1,145.3051
↘12.844, 1.13%
21      1,152.8024
↘7.497, 0.65%
22      1,155.7598
↘2.957, 0.26%
23      1,156.6561
↘0.896, 0.08%
24      1,160.9688
↘4.313, 0.37%
25      1,156.8470
↗4.122, 0.36%
26      1,155.9736
↗0.873, 0.08%
27      1,149.8345
↗6.139, 0.53%
28      1,144.1956
↗5.639, 0.49%
29      1,142.6455
↗1.550, 0.14%
30      1,142.9930
↘0.348, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-06-01”),1,130.732,1,130.73],[new Date(“2013-06-02”),1,131.168,1,131.17],[new Date(“2013-06-03”),1,124.785,1,124.78],[new Date(“2013-06-04”),1,123.971,1,123.97],[new Date(“2013-06-05”),1,119.304,1,119.30],[new Date(“2013-06-06”),1,117.855,1,117.85],[new Date(“2013-06-07”),1,119.232,1,119.23],[new Date(“2013-06-08”),1,118.482,1,118.48],[new Date(“2013-06-09”),1,120.302,1,120.30],[new Date(“2013-06-10”),1,126.615,1,126.61],[new Date(“2013-06-11”),1,127.529,1,127.53],[new Date(“2013-06-12”),1,131.600,1,131.60],[new Date(“2013-06-13”),1,131.132,1,131.13],[new Date(“2013-06-14”),1,128.455,1,128.46],[new Date(“2013-06-15”),1,127.640,1,127.64],[new Date(“2013-06-16”),1,127.131,1,127.13],[new Date(“2013-06-17”),1,127.360,1,127.36],[new Date(“2013-06-18”),1,131.667,1,131.67],[new Date(“2013-06-19”),1,132.461,1,132.46],[new Date(“2013-06-20”),1,145.305,1,145.31],[new Date(“2013-06-21”),1,152.802,1,152.80],[new Date(“2013-06-22”),1,155.760,1,155.76],[new Date(“2013-06-23”),1,156.656,1,156.66],[new Date(“2013-06-24”),1,160.969,1,160.97],[new Date(“2013-06-25”),1,156.847,1,156.85],[new Date(“2013-06-26”),1,155.974,1,155.97],[new Date(“2013-06-27”),1,149.834,1,149.83],[new Date(“2013-06-28”),1,144.196,1,144.20],[new Date(“2013-06-29”),1,142.646,1,142.65],[new Date(“2013-06-30″),1,142.993,1,142.99],]);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_6’));
chart.draw(data, options);
}

May, 2013

01      1,101.2550
02      1,104.2290
↘2.974, 0.27%
03      1,102.0328
↗2.196, 0.20%
04      1,097.9837
↗4.049, 0.37%
05      1,097.2325
↗0.751, 0.07%
06      1,095.0305
↗2.202, 0.20%
07      1,091.0794
↗3.951, 0.36%
08      1,085.4291
↗5.650, 0.52%
09      1,090.4994
↘5.070, 0.47%
10      1,103.0087
↘12.509, 1.15%
11      1,106.6562
↘3.648, 0.33%
12      1,107.4962
↘0.840, 0.08%
13      1,111.5368
↘4.041, 0.36%
14      1,110.4687
↗1.068, 0.10%
15      1,112.6628
↘2.194, 0.20%
16      1,116.2679
↘3.605, 0.32%
17      1,118.4096
↘2.142, 0.19%
18      1,117.7854
↗0.624, 0.06%
19      1,117.6529
↗0.133, 0.01%
20      1,117.4371
↗0.216, 0.02%
21      1,113.3890
↗4.048, 0.36%
22      1,114.9602
↘1.571, 0.14%
23      1,124.8483
↘9.888, 0.89%
24      1,127.3039
↘2.456, 0.22%
25      1,128.1308
↘0.827, 0.07%
26      1,128.3195
↘0.189, 0.02%
27      1,124.0886
↗4.231, 0.37%
28      1,127.6564
↘3.568, 0.32%
29      1,131.3542
↘3.698, 0.33%
30      1,129.2133
↗2.141, 0.19%
31      1,129.9658
↘0.753, 0.07%
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”),1,101.255,1,101.25],[new Date(“2013-05-02”),1,104.229,1,104.23],[new Date(“2013-05-03”),1,102.033,1,102.03],[new Date(“2013-05-04”),1,097.984,1,097.98],[new Date(“2013-05-05”),1,097.232,1,097.23],[new Date(“2013-05-06”),1,095.030,1,095.03],[new Date(“2013-05-07”),1,091.079,1,091.08],[new Date(“2013-05-08”),1,085.429,1,085.43],[new Date(“2013-05-09”),1,090.499,1,090.50],[new Date(“2013-05-10”),1,103.009,1,103.01],[new Date(“2013-05-11”),1,106.656,1,106.66],[new Date(“2013-05-12”),1,107.496,1,107.50],[new Date(“2013-05-13”),1,111.537,1,111.54],[new Date(“2013-05-14”),1,110.469,1,110.47],[new Date(“2013-05-15”),1,112.663,1,112.66],[new Date(“2013-05-16”),1,116.268,1,116.27],[new Date(“2013-05-17”),1,118.410,1,118.41],[new Date(“2013-05-18”),1,117.785,1,117.79],[new Date(“2013-05-19”),1,117.653,1,117.65],[new Date(“2013-05-20”),1,117.437,1,117.44],[new Date(“2013-05-21”),1,113.389,1,113.39],[new Date(“2013-05-22”),1,114.960,1,114.96],[new Date(“2013-05-23”),1,124.848,1,124.85],[new Date(“2013-05-24”),1,127.304,1,127.30],[new Date(“2013-05-25”),1,128.131,1,128.13],[new Date(“2013-05-26”),1,128.320,1,128.32],[new Date(“2013-05-27”),1,124.089,1,124.09],[new Date(“2013-05-28”),1,127.656,1,127.66],[new Date(“2013-05-29”),1,131.354,1,131.35],[new Date(“2013-05-30”),1,129.213,1,129.21],[new Date(“2013-05-31″),1,129.966,1,129.97],]);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      1,112.1343
02      1,117.5366
↘5.402, 0.49%
03      1,117.4558
↗0.081, 0.01%
04      1,122.7883
↘5.333, 0.48%
05      1,132.4532
↘9.665, 0.86%
06      1,134.0554
↘1.602, 0.14%
07      1,133.8654
↗0.190, 0.02%
08      1,139.6183
↘5.753, 0.51%
09      1,139.3902
↗0.228, 0.02%
10      1,135.0285
↗4.362, 0.38%
11      1,131.6133
↗3.415, 0.30%
12      1,130.1667
↗1.447, 0.13%
13      1,130.1109
↗0.056, 0.00%
14      1,129.0721
↗1.039, 0.09%
15      1,121.5340
↗7.538, 0.67%
16      1,116.8433
↗4.691, 0.42%
17      1,118.7859
↘1.943, 0.17%
18      1,120.5290
↘1.743, 0.16%
19      1,120.3933
↗0.136, 0.01%
20      1,119.8315
↗0.562, 0.05%
21      1,120.2915
↘0.460, 0.04%
22      1,120.5533
↘0.262, 0.02%
23      1,120.0841
↗0.469, 0.04%
24      1,118.3246
↗1.760, 0.16%
25      1,113.2728
↗5.052, 0.45%
26      1,111.9418
↗1.331, 0.12%
27      1,111.1690
↗0.773, 0.07%
28      1,109.9983
↗1.171, 0.11%
29      1,106.7417
↗3.257, 0.29%
30      1,105.2240
↗1.518, 0.14%
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”),1,112.134,1,112.13],[new Date(“2013-04-02”),1,117.537,1,117.54],[new Date(“2013-04-03”),1,117.456,1,117.46],[new Date(“2013-04-04”),1,122.788,1,122.79],[new Date(“2013-04-05”),1,132.453,1,132.45],[new Date(“2013-04-06”),1,134.055,1,134.06],[new Date(“2013-04-07”),1,133.865,1,133.87],[new Date(“2013-04-08”),1,139.618,1,139.62],[new Date(“2013-04-09”),1,139.390,1,139.39],[new Date(“2013-04-10”),1,135.028,1,135.03],[new Date(“2013-04-11”),1,131.613,1,131.61],[new Date(“2013-04-12”),1,130.167,1,130.17],[new Date(“2013-04-13”),1,130.111,1,130.11],[new Date(“2013-04-14”),1,129.072,1,129.07],[new Date(“2013-04-15”),1,121.534,1,121.53],[new Date(“2013-04-16”),1,116.843,1,116.84],[new Date(“2013-04-17”),1,118.786,1,118.79],[new Date(“2013-04-18”),1,120.529,1,120.53],[new Date(“2013-04-19”),1,120.393,1,120.39],[new Date(“2013-04-20”),1,119.831,1,119.83],[new Date(“2013-04-21”),1,120.291,1,120.29],[new Date(“2013-04-22”),1,120.553,1,120.55],[new Date(“2013-04-23”),1,120.084,1,120.08],[new Date(“2013-04-24”),1,118.325,1,118.32],[new Date(“2013-04-25”),1,113.273,1,113.27],[new Date(“2013-04-26”),1,111.942,1,111.94],[new Date(“2013-04-27”),1,111.169,1,111.17],[new Date(“2013-04-28”),1,109.998,1,110.00],[new Date(“2013-04-29”),1,106.742,1,106.74],[new Date(“2013-04-30″),1,105.224,1,105.22],]);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      1,085.2547
02      1,085.4707
↘0.216, 0.02%
03      1,085.2100
↗0.261, 0.02%
04      1,088.8625
↘3.653, 0.34%
05      1,087.2773
↗1.585, 0.15%
06      1,085.2647
↗2.013, 0.19%
07      1,086.7438
↘1.479, 0.14%
08      1,089.2897
↘2.546, 0.23%
09      1,090.7909
↘1.501, 0.14%
10      1,094.3089
↘3.518, 0.32%
11      1,096.1904
↘1.881, 0.17%
12      1,095.1441
↗1.046, 0.10%
13      1,098.4900
↘3.346, 0.31%
14      1,105.4113
↘6.921, 0.63%
15      1,109.7962
↘4.385, 0.40%
16      1,110.6450
↘0.849, 0.08%
17      1,116.4472
↘5.802, 0.52%
18      1,113.7834
↗2.664, 0.24%
19      1,115.0750
↘1.292, 0.12%
20      1,115.1525
↘0.077, 0.01%
21      1,116.0923
↘0.940, 0.08%
22      1,118.2850
↘2.193, 0.20%
23      1,118.8775
↘0.592, 0.05%
24      1,118.7202
↗0.157, 0.01%
25      1,113.4925
↗5.228, 0.47%
26      1,108.7500
↗4.743, 0.43%
27      1,111.0904
↘2.340, 0.21%
28      1,112.7774
↘1.687, 0.15%
29      1,112.5132
↗0.264, 0.02%
30      1,112.5215
↘0.008, 0.00%
31      1,112.2465
↗0.275, 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(“2013-03-01”),1,085.255,1,085.25],[new Date(“2013-03-02”),1,085.471,1,085.47],[new Date(“2013-03-03”),1,085.210,1,085.21],[new Date(“2013-03-04”),1,088.863,1,088.86],[new Date(“2013-03-05”),1,087.277,1,087.28],[new Date(“2013-03-06”),1,085.265,1,085.26],[new Date(“2013-03-07”),1,086.744,1,086.74],[new Date(“2013-03-08”),1,089.290,1,089.29],[new Date(“2013-03-09”),1,090.791,1,090.79],[new Date(“2013-03-10”),1,094.309,1,094.31],[new Date(“2013-03-11”),1,096.190,1,096.19],[new Date(“2013-03-12”),1,095.144,1,095.14],[new Date(“2013-03-13”),1,098.490,1,098.49],[new Date(“2013-03-14”),1,105.411,1,105.41],[new Date(“2013-03-15”),1,109.796,1,109.80],[new Date(“2013-03-16”),1,110.645,1,110.64],[new Date(“2013-03-17”),1,116.447,1,116.45],[new Date(“2013-03-18”),1,113.783,1,113.78],[new Date(“2013-03-19”),1,115.075,1,115.08],[new Date(“2013-03-20”),1,115.153,1,115.15],[new Date(“2013-03-21”),1,116.092,1,116.09],[new Date(“2013-03-22”),1,118.285,1,118.28],[new Date(“2013-03-23”),1,118.877,1,118.88],[new Date(“2013-03-24”),1,118.720,1,118.72],[new Date(“2013-03-25”),1,113.493,1,113.49],[new Date(“2013-03-26”),1,108.750,1,108.75],[new Date(“2013-03-27”),1,111.090,1,111.09],[new Date(“2013-03-28”),1,112.777,1,112.78],[new Date(“2013-03-29”),1,112.513,1,112.51],[new Date(“2013-03-30”),1,112.522,1,112.52],[new Date(“2013-03-31″),1,112.247,1,112.25],]);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      1,093.7220
02      1,093.9882
↘0.266, 0.02%
03      1,092.1025
↗1.886, 0.17%
04      1,090.7138
↗1.389, 0.13%
05      1,087.7399
↗2.974, 0.27%
06      1,088.8263
↘1.086, 0.10%
07      1,090.2939
↘1.468, 0.13%
08      1,094.3613
↘4.067, 0.37%
09      1,095.4343
↘1.073, 0.10%
10      1,096.4403
↘1.006, 0.09%
11      1,096.9183
↘0.478, 0.04%
12      1,092.5652
↗4.353, 0.40%
13      1,087.9513
↗4.614, 0.42%
14      1,085.1877
↗2.764, 0.25%
15      1,080.5217
↗4.666, 0.43%
16      1,079.3747
↗1.147, 0.11%
17      1,078.5375
↗0.837, 0.08%
18      1,080.9707
↘2.433, 0.23%
19      1,080.2077
↗0.763, 0.07%
20      1,080.8625
↘0.655, 0.06%
21      1,085.8803
↘5.018, 0.46%
22      1,085.3398
↗0.541, 0.05%
23      1,085.5873
↘0.248, 0.02%
24      1,084.5293
↗1.058, 0.10%
25      1,085.6583
↘1.129, 0.10%
26      1,088.6869
↘3.029, 0.28%
27      1,086.0033
↗2.684, 0.25%
28      1,085.0397
↗0.964, 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”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-02-01”),1,093.722,1,093.72],[new Date(“2013-02-02”),1,093.988,1,093.99],[new Date(“2013-02-03”),1,092.103,1,092.10],[new Date(“2013-02-04”),1,090.714,1,090.71],[new Date(“2013-02-05”),1,087.740,1,087.74],[new Date(“2013-02-06”),1,088.826,1,088.83],[new Date(“2013-02-07”),1,090.294,1,090.29],[new Date(“2013-02-08”),1,094.361,1,094.36],[new Date(“2013-02-09”),1,095.434,1,095.43],[new Date(“2013-02-10”),1,096.440,1,096.44],[new Date(“2013-02-11”),1,096.918,1,096.92],[new Date(“2013-02-12”),1,092.565,1,092.57],[new Date(“2013-02-13”),1,087.951,1,087.95],[new Date(“2013-02-14”),1,085.188,1,085.19],[new Date(“2013-02-15”),1,080.522,1,080.52],[new Date(“2013-02-16”),1,079.375,1,079.37],[new Date(“2013-02-17”),1,078.538,1,078.54],[new Date(“2013-02-18”),1,080.971,1,080.97],[new Date(“2013-02-19”),1,080.208,1,080.21],[new Date(“2013-02-20”),1,080.863,1,080.86],[new Date(“2013-02-21”),1,085.880,1,085.88],[new Date(“2013-02-22”),1,085.340,1,085.34],[new Date(“2013-02-23”),1,085.587,1,085.59],[new Date(“2013-02-24”),1,084.529,1,084.53],[new Date(“2013-02-25”),1,085.658,1,085.66],[new Date(“2013-02-26”),1,088.687,1,088.69],[new Date(“2013-02-27”),1,086.003,1,086.00],[new Date(“2013-02-28″),1,085.040,1,085.04],]);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, 2013

01      1,063.6840
02      1,063.7370
↘0.053, 0.00%
03      1,063.5180
↗0.219, 0.02%
04      1,063.1160
↗0.402, 0.04%
05      1,063.2060
↘0.090, 0.01%
06      1,060.9490
↗2.257, 0.21%
07      1,061.9470
↘0.998, 0.09%
08      1,063.1429
↘1.196, 0.11%
09      1,061.1911
↗1.952, 0.18%
10      1,059.5834
↗1.608, 0.15%
11      1,057.4992
↗2.084, 0.20%
12      1,056.7862
↗0.713, 0.07%
13      1,053.1152
↗3.671, 0.35%
14      1,054.6105
↘1.495, 0.14%
15      1,056.1765
↘1.566, 0.15%
16      1,058.3804
↘2.204, 0.21%
17      1,057.4205
↗0.960, 0.09%
18      1,058.2642
↘0.844, 0.08%
19      1,058.1802
↗0.084, 0.01%
20      1,059.0472
↘0.867, 0.08%
21      1,063.4340
↘4.387, 0.41%
22      1,063.0379
↗0.396, 0.04%
23      1,066.3106
↘3.273, 0.31%
24      1,068.0642
↘1.754, 0.16%
25      1,073.7908
↘5.727, 0.54%
26      1,076.0748
↘2.284, 0.21%
27      1,075.6228
↗0.452, 0.04%
28      1,088.2615
↘12.639, 1.18%
29      1,084.0747
↗4.187, 0.38%
30      1,086.9639
↘2.889, 0.27%
31      1,087.8049
↘0.841, 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(“2013-01-01”),1,063.684,1,063.68],[new Date(“2013-01-02”),1,063.737,1,063.74],[new Date(“2013-01-03”),1,063.518,1,063.52],[new Date(“2013-01-04”),1,063.116,1,063.12],[new Date(“2013-01-05”),1,063.206,1,063.21],[new Date(“2013-01-06”),1,060.949,1,060.95],[new Date(“2013-01-07”),1,061.947,1,061.95],[new Date(“2013-01-08”),1,063.143,1,063.14],[new Date(“2013-01-09”),1,061.191,1,061.19],[new Date(“2013-01-10”),1,059.583,1,059.58],[new Date(“2013-01-11”),1,057.499,1,057.50],[new Date(“2013-01-12”),1,056.786,1,056.79],[new Date(“2013-01-13”),1,053.115,1,053.12],[new Date(“2013-01-14”),1,054.610,1,054.61],[new Date(“2013-01-15”),1,056.177,1,056.18],[new Date(“2013-01-16”),1,058.380,1,058.38],[new Date(“2013-01-17”),1,057.420,1,057.42],[new Date(“2013-01-18”),1,058.264,1,058.26],[new Date(“2013-01-19”),1,058.180,1,058.18],[new Date(“2013-01-20”),1,059.047,1,059.05],[new Date(“2013-01-21”),1,063.434,1,063.43],[new Date(“2013-01-22”),1,063.038,1,063.04],[new Date(“2013-01-23”),1,066.311,1,066.31],[new Date(“2013-01-24”),1,068.064,1,068.06],[new Date(“2013-01-25”),1,073.791,1,073.79],[new Date(“2013-01-26”),1,076.075,1,076.07],[new Date(“2013-01-27”),1,075.623,1,075.62],[new Date(“2013-01-28”),1,088.261,1,088.26],[new Date(“2013-01-29”),1,084.075,1,084.07],[new Date(“2013-01-30”),1,086.964,1,086.96],[new Date(“2013-01-31″),1,087.805,1,087.80],]);var options = {
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title: ‘Date’
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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_1’));
chart.draw(data, options);
}