Hungarian Forint HUF 2014 Conversion Rates

  • Opening Value is 215.875301 HUF per Dollar
  • Closing Value is 261.035502 HUF per Dollar
  • Change in Value during 2014 is 45.1602 which is 20.92%
  • Best Performance is on 2014-01-01 with 215.875301 HUF per Dollar
  • Lowest Performance is on 2014-12-31 with 261.035502 HUF per Dollar
  • Average Value is 232.7219 HUF per Dollar
  • Swing Between the higest and the lowest is 45.1602 per Dollar, that is 20.92% compared to the opening value.

USD to HUF Conversion Rates – 12 months

Date 1 USD =
2014-12-31 261.0355 HUF
2014-11-30 245.8870 HUF
2014-10-31 245.7997 HUF
2014-09-30 246.1227 HUF
2014-08-31 239.9096 HUF
2014-07-31 234.0868 HUF
2014-06-30 226.3290 HUF
2014-05-31 222.1284 HUF
2014-04-30 221.7292 HUF
2014-03-31 223.3530 HUF
2014-02-28 225.1137 HUF
2014-01-31 230.7926 HUF
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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‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2014

01      245.6377
02      247.3700
↘1.732, 0.71%
03      248.3243
↘0.954, 0.39%
04      247.8418
↗0.482, 0.19%
05      248.4658
↘0.624, 0.25%
06      248.3863
↗0.079, 0.03%
07      248.4741
↘0.088, 0.04%
08      248.7102
↘0.236, 0.10%
09      247.7047
↗1.005, 0.40%
10      246.8842
↗0.820, 0.33%
11      248.1000
↘1.216, 0.49%
12      247.2310
↗0.869, 0.35%
13      247.3857
↘0.155, 0.06%
14      247.2597
↗0.126, 0.05%
15      248.2073
↘0.948, 0.38%
16      249.2896
↘1.082, 0.44%
17      253.5157
↘4.226, 1.70%
18      255.2520
↘1.736, 0.68%
19      257.4922
↘2.240, 0.88%
20      257.8113
↘0.319, 0.12%
21      258.1792
↘0.368, 0.14%
22      256.9022
↗1.277, 0.49%
23      259.2181
↘2.316, 0.90%
24      259.3083
↘0.090, 0.03%
25      259.2763
↗0.032, 0.01%
26      260.3147
↘1.038, 0.40%
27      260.3557
↘0.041, 0.02%
28      260.0786
↗0.277, 0.11%
29      259.0049
↗1.074, 0.41%
30      258.9590
↗0.046, 0.02%
31      261.0355
↘2.077, 0.80%
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);
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November, 2014

01      245.9972
02      246.2816
↘0.284, 0.12%
03      246.9242
↘0.643, 0.26%
04      246.4511
↗0.473, 0.19%
05      248.3072
↘1.856, 0.75%
06      249.7786
↘1.471, 0.59%
07      248.5095
↗1.269, 0.51%
08      248.8134
↘0.304, 0.12%
09      247.8294
↗0.984, 0.40%
10      247.4832
↗0.346, 0.14%
11      246.7528
↗0.730, 0.30%
12      246.5947
↗0.158, 0.06%
13      245.3518
↗1.243, 0.50%
14      244.6787
↗0.673, 0.27%
15      244.6047
↗0.074, 0.03%
16      244.5050
↗0.100, 0.04%
17      245.8221
↘1.317, 0.54%
18      244.1597
↗1.662, 0.68%
19      243.5009
↗0.659, 0.27%
20      242.9736
↗0.527, 0.22%
21      245.0451
↘2.072, 0.85%
22      245.2369
↘0.192, 0.08%
23      245.8688
↘0.632, 0.26%
24      245.7925
↗0.076, 0.03%
25      245.5782
↗0.214, 0.09%
26      245.5317
↗0.046, 0.02%
27      246.3120
↘0.780, 0.32%
28      246.0590
↗0.253, 0.10%
29      246.0730
↘0.014, 0.01%
30      245.8870
↗0.186, 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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title: ‘Date’
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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      245.5399
02      244.9996
↗0.540, 0.22%
03      247.1460
↘2.146, 0.88%
04      246.7324
↗0.414, 0.17%
05      247.6160
↘0.884, 0.36%
06      244.1241
↗3.492, 1.41%
07      243.8014
↗0.323, 0.13%
08      241.5903
↗2.211, 0.91%
09      241.5661
↗0.024, 0.01%
10      241.7903
↘0.224, 0.09%
11      241.9811
↘0.191, 0.08%
12      241.8161
↗0.165, 0.07%
13      240.6430
↗1.173, 0.49%
14      241.9637
↘1.321, 0.55%
15      240.0068
↗1.957, 0.81%
16      240.1859
↘0.179, 0.07%
17      239.8112
↗0.375, 0.16%
18      239.6017
↗0.209, 0.09%
19      239.8361
↘0.234, 0.10%
20      239.9528
↘0.117, 0.05%
21      240.7197
↘0.767, 0.32%
22      242.1885
↘1.469, 0.61%
23      242.9726
↘0.784, 0.32%
24      243.3258
↘0.353, 0.15%
25      243.4044
↘0.079, 0.03%
26      243.1794
↗0.225, 0.09%
27      243.5562
↘0.377, 0.15%
28      242.5089
↗1.047, 0.43%
29      244.4929
↘1.984, 0.82%
30      243.9115
↗0.581, 0.24%
31      245.7997
↘1.888, 0.77%
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”),245.540,245.54],[new Date(“2014-10-02”),245.000,245.00],[new Date(“2014-10-03”),247.146,247.15],[new Date(“2014-10-04”),246.732,246.73],[new Date(“2014-10-05”),247.616,247.62],[new Date(“2014-10-06”),244.124,244.12],[new Date(“2014-10-07”),243.801,243.80],[new Date(“2014-10-08”),241.590,241.59],[new Date(“2014-10-09”),241.566,241.57],[new Date(“2014-10-10”),241.790,241.79],[new Date(“2014-10-11”),241.981,241.98],[new Date(“2014-10-12”),241.816,241.82],[new Date(“2014-10-13”),240.643,240.64],[new Date(“2014-10-14”),241.964,241.96],[new Date(“2014-10-15”),240.007,240.01],[new Date(“2014-10-16”),240.186,240.19],[new Date(“2014-10-17”),239.811,239.81],[new Date(“2014-10-18”),239.602,239.60],[new Date(“2014-10-19”),239.836,239.84],[new Date(“2014-10-20”),239.953,239.95],[new Date(“2014-10-21”),240.720,240.72],[new Date(“2014-10-22”),242.189,242.19],[new Date(“2014-10-23”),242.973,242.97],[new Date(“2014-10-24”),243.326,243.33],[new Date(“2014-10-25”),243.404,243.40],[new Date(“2014-10-26”),243.179,243.18],[new Date(“2014-10-27”),243.556,243.56],[new Date(“2014-10-28”),242.509,242.51],[new Date(“2014-10-29”),244.493,244.49],[new Date(“2014-10-30”),243.911,243.91],[new Date(“2014-10-31″),245.800,245.80],]);var options = {
hAxis: {
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_10’));
chart.draw(data, options);
}

September, 2014

01      239.5570
02      240.1601
↘0.603, 0.25%
03      238.9671
↗1.193, 0.50%
04      241.6589
↘2.692, 1.13%
05      241.7167
↘0.058, 0.02%
06      242.2127
↘0.496, 0.21%
07      242.0784
↗0.134, 0.06%
08      243.5841
↘1.506, 0.62%
09      244.5018
↘0.918, 0.38%
10      244.1110
↗0.391, 0.16%
11      243.3914
↗0.720, 0.29%
12      243.1670
↗0.224, 0.09%
13      243.0012
↗0.166, 0.07%
14      242.9498
↗0.051, 0.02%
15      243.0633
↘0.114, 0.05%
16      242.5381
↗0.525, 0.22%
17      243.8467
↘1.309, 0.54%
18      241.4294
↗2.417, 0.99%
19      242.6131
↘1.184, 0.49%
20      242.4625
↗0.151, 0.06%
21      242.5446
↘0.082, 0.03%
22      242.9482
↘0.404, 0.17%
23      242.1115
↗0.837, 0.34%
24      242.6038
↘0.492, 0.20%
25      243.9990
↘1.395, 0.58%
26      245.7911
↘1.792, 0.73%
27      246.0765
↘0.285, 0.12%
28      246.2510
↘0.174, 0.07%
29      245.6977
↗0.553, 0.22%
30      246.1227
↘0.425, 0.17%
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”),239.557,239.56],[new Date(“2014-09-02”),240.160,240.16],[new Date(“2014-09-03”),238.967,238.97],[new Date(“2014-09-04”),241.659,241.66],[new Date(“2014-09-05”),241.717,241.72],[new Date(“2014-09-06”),242.213,242.21],[new Date(“2014-09-07”),242.078,242.08],[new Date(“2014-09-08”),243.584,243.58],[new Date(“2014-09-09”),244.502,244.50],[new Date(“2014-09-10”),244.111,244.11],[new Date(“2014-09-11”),243.391,243.39],[new Date(“2014-09-12”),243.167,243.17],[new Date(“2014-09-13”),243.001,243.00],[new Date(“2014-09-14”),242.950,242.95],[new Date(“2014-09-15”),243.063,243.06],[new Date(“2014-09-16”),242.538,242.54],[new Date(“2014-09-17”),243.847,243.85],[new Date(“2014-09-18”),241.429,241.43],[new Date(“2014-09-19”),242.613,242.61],[new Date(“2014-09-20”),242.463,242.46],[new Date(“2014-09-21”),242.545,242.54],[new Date(“2014-09-22”),242.948,242.95],[new Date(“2014-09-23”),242.112,242.11],[new Date(“2014-09-24”),242.604,242.60],[new Date(“2014-09-25”),243.999,244.00],[new Date(“2014-09-26”),245.791,245.79],[new Date(“2014-09-27”),246.077,246.08],[new Date(“2014-09-28”),246.251,246.25],[new Date(“2014-09-29”),245.698,245.70],[new Date(“2014-09-30″),246.123,246.12],]);var options = {
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title: ‘Conversion Rate’
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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, 2014

01      233.0951
02      233.3027
↘0.208, 0.09%
03      233.4015
↘0.099, 0.04%
04      233.4947
↘0.093, 0.04%
05      235.2928
↘1.798, 0.77%
06      235.6195
↘0.327, 0.14%
07      236.1573
↘0.538, 0.23%
08      233.9509
↗2.206, 0.93%
09      233.7629
↗0.188, 0.08%
10      233.6683
↗0.095, 0.04%
11      234.1310
↘0.463, 0.20%
12      234.5795
↘0.449, 0.19%
13      234.6609
↘0.081, 0.03%
14      233.9585
↗0.702, 0.30%
15      234.4148
↘0.456, 0.20%
16      234.3554
↗0.059, 0.03%
17      234.4963
↘0.141, 0.06%
18      234.7166
↘0.220, 0.09%
19      235.0587
↘0.342, 0.15%
20      236.6710
↘1.612, 0.69%
21      236.1311
↗0.540, 0.23%
22      236.7235
↘0.592, 0.25%
23      236.6061
↗0.117, 0.05%
24      237.3729
↘0.767, 0.32%
25      237.5426
↘0.170, 0.07%
26      237.7705
↘0.228, 0.10%
27      237.0752
↗0.695, 0.29%
28      238.7239
↘1.649, 0.70%
29      239.3853
↘0.661, 0.28%
30      239.6553
↘0.270, 0.11%
31      239.9096
↘0.254, 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(“2014-08-01”),233.095,233.10],[new Date(“2014-08-02”),233.303,233.30],[new Date(“2014-08-03”),233.402,233.40],[new Date(“2014-08-04”),233.495,233.49],[new Date(“2014-08-05”),235.293,235.29],[new Date(“2014-08-06”),235.620,235.62],[new Date(“2014-08-07”),236.157,236.16],[new Date(“2014-08-08”),233.951,233.95],[new Date(“2014-08-09”),233.763,233.76],[new Date(“2014-08-10”),233.668,233.67],[new Date(“2014-08-11”),234.131,234.13],[new Date(“2014-08-12”),234.580,234.58],[new Date(“2014-08-13”),234.661,234.66],[new Date(“2014-08-14”),233.959,233.96],[new Date(“2014-08-15”),234.415,234.41],[new Date(“2014-08-16”),234.355,234.36],[new Date(“2014-08-17”),234.496,234.50],[new Date(“2014-08-18”),234.717,234.72],[new Date(“2014-08-19”),235.059,235.06],[new Date(“2014-08-20”),236.671,236.67],[new Date(“2014-08-21”),236.131,236.13],[new Date(“2014-08-22”),236.723,236.72],[new Date(“2014-08-23”),236.606,236.61],[new Date(“2014-08-24”),237.373,237.37],[new Date(“2014-08-25”),237.543,237.54],[new Date(“2014-08-26”),237.770,237.77],[new Date(“2014-08-27”),237.075,237.08],[new Date(“2014-08-28”),238.724,238.72],[new Date(“2014-08-29”),239.385,239.39],[new Date(“2014-08-30”),239.655,239.66],[new Date(“2014-08-31″),239.910,239.91],]);var options = {
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title: ‘Date’
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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      227.7528
02      228.1536
↘0.401, 0.18%
03      227.8162
↗0.337, 0.15%
04      228.2975
↘0.481, 0.21%
05      228.2658
↗0.032, 0.01%
06      228.2250
↗0.041, 0.02%
07      228.1360
↗0.089, 0.04%
08      227.3403
↗0.796, 0.35%
09      227.2119
↗0.128, 0.06%
10      227.6803
↘0.468, 0.21%
11      227.8506
↘0.170, 0.07%
12      227.9172
↘0.067, 0.03%
13      227.9454
↘0.028, 0.01%
14      227.1491
↗0.796, 0.35%
15      227.9872
↘0.838, 0.37%
16      228.5849
↘0.598, 0.26%
17      229.8756
↘1.291, 0.56%
18      229.1333
↗0.742, 0.32%
19      228.0706
↗1.063, 0.46%
20      227.7600
↗0.311, 0.14%
21      228.8931
↘1.133, 0.50%
22      228.6434
↗0.250, 0.11%
23      228.4574
↗0.186, 0.08%
24      228.5906
↘0.133, 0.06%
25      229.4807
↘0.890, 0.39%
26      229.5993
↘0.119, 0.05%
27      229.5534
↗0.046, 0.02%
28      229.8590
↘0.306, 0.13%
29      231.4037
↘1.545, 0.67%
30      232.0693
↘0.666, 0.29%
31      234.0868
↘2.018, 0.87%
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”),227.753,227.75],[new Date(“2014-07-02”),228.154,228.15],[new Date(“2014-07-03”),227.816,227.82],[new Date(“2014-07-04”),228.297,228.30],[new Date(“2014-07-05”),228.266,228.27],[new Date(“2014-07-06”),228.225,228.22],[new Date(“2014-07-07”),228.136,228.14],[new Date(“2014-07-08”),227.340,227.34],[new Date(“2014-07-09”),227.212,227.21],[new Date(“2014-07-10”),227.680,227.68],[new Date(“2014-07-11”),227.851,227.85],[new Date(“2014-07-12”),227.917,227.92],[new Date(“2014-07-13”),227.945,227.95],[new Date(“2014-07-14”),227.149,227.15],[new Date(“2014-07-15”),227.987,227.99],[new Date(“2014-07-16”),228.585,228.58],[new Date(“2014-07-17”),229.876,229.88],[new Date(“2014-07-18”),229.133,229.13],[new Date(“2014-07-19”),228.071,228.07],[new Date(“2014-07-20”),227.760,227.76],[new Date(“2014-07-21”),228.893,228.89],[new Date(“2014-07-22”),228.643,228.64],[new Date(“2014-07-23”),228.457,228.46],[new Date(“2014-07-24”),228.591,228.59],[new Date(“2014-07-25”),229.481,229.48],[new Date(“2014-07-26”),229.599,229.60],[new Date(“2014-07-27”),229.553,229.55],[new Date(“2014-07-28”),229.859,229.86],[new Date(“2014-07-29”),231.404,231.40],[new Date(“2014-07-30”),232.069,232.07],[new Date(“2014-07-31″),234.087,234.09],]);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      222.0201
02      223.2410
↘1.221, 0.55%
03      223.7929
↘0.552, 0.25%
04      224.4152
↘0.622, 0.28%
05      222.6923
↗1.723, 0.77%
06      222.3120
↗0.380, 0.17%
07      222.0016
↗0.310, 0.14%
08      221.8542
↗0.147, 0.07%
09      222.8127
↘0.958, 0.43%
10      224.5059
↘1.693, 0.76%
11      225.3866
↘0.881, 0.39%
12      226.3646
↘0.978, 0.43%
13      226.5075
↘0.143, 0.06%
14      226.5724
↘0.065, 0.03%
15      226.6362
↘0.064, 0.03%
16      226.6665
↘0.030, 0.01%
17      227.0519
↘0.385, 0.17%
18      225.7928
↗1.259, 0.55%
19      225.4452
↗0.348, 0.15%
20      224.9139
↗0.531, 0.24%
21      224.9614
↘0.047, 0.02%
22      225.0914
↘0.130, 0.06%
23      224.5538
↗0.538, 0.24%
24      224.9276
↘0.374, 0.17%
25      225.1541
↘0.227, 0.10%
26      226.4014
↘1.247, 0.55%
27      226.7441
↘0.343, 0.15%
28      226.9123
↘0.168, 0.07%
29      226.8014
↗0.111, 0.05%
30      226.3290
↗0.472, 0.21%
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”),222.020,222.02],[new Date(“2014-06-02”),223.241,223.24],[new Date(“2014-06-03”),223.793,223.79],[new Date(“2014-06-04”),224.415,224.42],[new Date(“2014-06-05”),222.692,222.69],[new Date(“2014-06-06”),222.312,222.31],[new Date(“2014-06-07”),222.002,222.00],[new Date(“2014-06-08”),221.854,221.85],[new Date(“2014-06-09”),222.813,222.81],[new Date(“2014-06-10”),224.506,224.51],[new Date(“2014-06-11”),225.387,225.39],[new Date(“2014-06-12”),226.365,226.36],[new Date(“2014-06-13”),226.508,226.51],[new Date(“2014-06-14”),226.572,226.57],[new Date(“2014-06-15”),226.636,226.64],[new Date(“2014-06-16”),226.666,226.67],[new Date(“2014-06-17”),227.052,227.05],[new Date(“2014-06-18”),225.793,225.79],[new Date(“2014-06-19”),225.445,225.45],[new Date(“2014-06-20”),224.914,224.91],[new Date(“2014-06-21”),224.961,224.96],[new Date(“2014-06-22”),225.091,225.09],[new Date(“2014-06-23”),224.554,224.55],[new Date(“2014-06-24”),224.928,224.93],[new Date(“2014-06-25”),225.154,225.15],[new Date(“2014-06-26”),226.401,226.40],[new Date(“2014-06-27”),226.744,226.74],[new Date(“2014-06-28”),226.912,226.91],[new Date(“2014-06-29”),226.801,226.80],[new Date(“2014-06-30″),226.329,226.33],]);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      221.3347
02      221.7165
↘0.382, 0.17%
03      221.7371
↘0.021, 0.01%
04      221.7830
↘0.046, 0.02%
05      222.1194
↘0.336, 0.15%
06      220.5925
↗1.527, 0.69%
07      219.5321
↗1.060, 0.48%
08      219.2337
↗0.298, 0.14%
09      220.4351
↘1.201, 0.55%
10      220.6668
↘0.232, 0.11%
11      221.0578
↘0.391, 0.18%
12      220.7526
↗0.305, 0.14%
13      221.4493
↘0.697, 0.32%
14      221.2177
↗0.232, 0.10%
15      223.0743
↘1.857, 0.84%
16      222.6479
↗0.426, 0.19%
17      222.8636
↘0.216, 0.10%
18      222.7841
↗0.079, 0.04%
19      222.4656
↗0.319, 0.14%
20      222.5090
↘0.043, 0.02%
21      221.9288
↗0.580, 0.26%
22      221.9975
↘0.069, 0.03%
23      221.7401
↗0.257, 0.12%
24      221.7592
↘0.019, 0.01%
25      221.9234
↘0.164, 0.07%
26      221.8417
↗0.082, 0.04%
27      222.4473
↘0.606, 0.27%
28      223.3126
↘0.865, 0.39%
29      222.6817
↗0.631, 0.28%
30      222.2353
↗0.446, 0.20%
31      222.1284
↗0.107, 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(“2014-05-01”),221.335,221.33],[new Date(“2014-05-02”),221.717,221.72],[new Date(“2014-05-03”),221.737,221.74],[new Date(“2014-05-04”),221.783,221.78],[new Date(“2014-05-05”),222.119,222.12],[new Date(“2014-05-06”),220.593,220.59],[new Date(“2014-05-07”),219.532,219.53],[new Date(“2014-05-08”),219.234,219.23],[new Date(“2014-05-09”),220.435,220.44],[new Date(“2014-05-10”),220.667,220.67],[new Date(“2014-05-11”),221.058,221.06],[new Date(“2014-05-12”),220.753,220.75],[new Date(“2014-05-13”),221.449,221.45],[new Date(“2014-05-14”),221.218,221.22],[new Date(“2014-05-15”),223.074,223.07],[new Date(“2014-05-16”),222.648,222.65],[new Date(“2014-05-17”),222.864,222.86],[new Date(“2014-05-18”),222.784,222.78],[new Date(“2014-05-19”),222.466,222.47],[new Date(“2014-05-20”),222.509,222.51],[new Date(“2014-05-21”),221.929,221.93],[new Date(“2014-05-22”),221.997,222.00],[new Date(“2014-05-23”),221.740,221.74],[new Date(“2014-05-24”),221.759,221.76],[new Date(“2014-05-25”),221.923,221.92],[new Date(“2014-05-26”),221.842,221.84],[new Date(“2014-05-27”),222.447,222.45],[new Date(“2014-05-28”),223.313,223.31],[new Date(“2014-05-29”),222.682,222.68],[new Date(“2014-05-30”),222.235,222.24],[new Date(“2014-05-31″),222.128,222.13],]);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      222.7781
02      223.1971
↘0.419, 0.19%
03      223.4717
↘0.275, 0.12%
04      223.1691
↗0.303, 0.14%
05      223.1776
↘0.008, 0.00%
06      223.1381
↗0.040, 0.02%
07      223.1901
↘0.052, 0.02%
08      221.5714
↗1.619, 0.73%
09      220.9701
↗0.601, 0.27%
10      220.4744
↗0.496, 0.22%
11      220.6810
↘0.207, 0.09%
12      220.7095
↘0.028, 0.01%
13      220.9577
↘0.248, 0.11%
14      222.0388
↘1.081, 0.49%
15      223.0884
↘1.050, 0.47%
16      223.0022
↗0.086, 0.04%
17      222.2495
↗0.753, 0.34%
18      221.9362
↗0.313, 0.14%
19      221.8955
↗0.041, 0.02%
20      221.9384
↘0.043, 0.02%
21      222.7004
↘0.762, 0.34%
22      222.1741
↗0.526, 0.24%
23      222.2992
↘0.125, 0.06%
24      223.2200
↘0.921, 0.41%
25      223.9743
↘0.754, 0.34%
26      224.1395
↘0.165, 0.07%
27      224.0514
↗0.088, 0.04%
28      223.7278
↗0.324, 0.14%
29      223.3471
↗0.381, 0.17%
30      221.7292
↗1.618, 0.72%
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”),222.778,222.78],[new Date(“2014-04-02”),223.197,223.20],[new Date(“2014-04-03”),223.472,223.47],[new Date(“2014-04-04”),223.169,223.17],[new Date(“2014-04-05”),223.178,223.18],[new Date(“2014-04-06”),223.138,223.14],[new Date(“2014-04-07”),223.190,223.19],[new Date(“2014-04-08”),221.571,221.57],[new Date(“2014-04-09”),220.970,220.97],[new Date(“2014-04-10”),220.474,220.47],[new Date(“2014-04-11”),220.681,220.68],[new Date(“2014-04-12”),220.710,220.71],[new Date(“2014-04-13”),220.958,220.96],[new Date(“2014-04-14”),222.039,222.04],[new Date(“2014-04-15”),223.088,223.09],[new Date(“2014-04-16”),223.002,223.00],[new Date(“2014-04-17”),222.250,222.25],[new Date(“2014-04-18”),221.936,221.94],[new Date(“2014-04-19”),221.896,221.90],[new Date(“2014-04-20”),221.938,221.94],[new Date(“2014-04-21”),222.700,222.70],[new Date(“2014-04-22”),222.174,222.17],[new Date(“2014-04-23”),222.299,222.30],[new Date(“2014-04-24”),223.220,223.22],[new Date(“2014-04-25”),223.974,223.97],[new Date(“2014-04-26”),224.139,224.14],[new Date(“2014-04-27”),224.051,224.05],[new Date(“2014-04-28”),223.728,223.73],[new Date(“2014-04-29”),223.347,223.35],[new Date(“2014-04-30″),221.729,221.73],]);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      224.8015
02      225.6156
↘0.814, 0.36%
03      227.5650
↘1.949, 0.86%
04      226.0954
↗1.470, 0.65%
05      225.7855
↗0.310, 0.14%
06      223.4823
↗2.303, 1.02%
07      224.9179
↘1.436, 0.64%
08      224.7459
↗0.172, 0.08%
09      224.9212
↘0.175, 0.08%
10      225.1150
↘0.194, 0.09%
11      226.1034
↘0.988, 0.44%
12      225.6248
↗0.479, 0.21%
13      226.2827
↘0.658, 0.29%
14      224.5835
↗1.699, 0.75%
15      224.5882
↘0.005, 0.00%
16      224.7633
↘0.175, 0.08%
17      223.9510
↗0.812, 0.36%
18      223.4144
↗0.537, 0.24%
19      225.3910
↘1.977, 0.88%
20      225.5279
↘0.137, 0.06%
21      226.8666
↘1.339, 0.59%
22      226.9080
↘0.041, 0.02%
23      227.1052
↘0.197, 0.09%
24      226.4804
↗0.625, 0.28%
25      225.7002
↗0.780, 0.34%
26      226.3791
↘0.679, 0.30%
27      226.0932
↗0.286, 0.13%
28      224.8549
↗1.238, 0.55%
29      224.6592
↗0.196, 0.09%
30      224.4938
↗0.165, 0.07%
31      223.3530
↗1.141, 0.51%
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”),224.802,224.80],[new Date(“2014-03-02”),225.616,225.62],[new Date(“2014-03-03”),227.565,227.57],[new Date(“2014-03-04”),226.095,226.10],[new Date(“2014-03-05”),225.785,225.79],[new Date(“2014-03-06”),223.482,223.48],[new Date(“2014-03-07”),224.918,224.92],[new Date(“2014-03-08”),224.746,224.75],[new Date(“2014-03-09”),224.921,224.92],[new Date(“2014-03-10”),225.115,225.12],[new Date(“2014-03-11”),226.103,226.10],[new Date(“2014-03-12”),225.625,225.62],[new Date(“2014-03-13”),226.283,226.28],[new Date(“2014-03-14”),224.584,224.58],[new Date(“2014-03-15”),224.588,224.59],[new Date(“2014-03-16”),224.763,224.76],[new Date(“2014-03-17”),223.951,223.95],[new Date(“2014-03-18”),223.414,223.41],[new Date(“2014-03-19”),225.391,225.39],[new Date(“2014-03-20”),225.528,225.53],[new Date(“2014-03-21”),226.867,226.87],[new Date(“2014-03-22”),226.908,226.91],[new Date(“2014-03-23”),227.105,227.11],[new Date(“2014-03-24”),226.480,226.48],[new Date(“2014-03-25”),225.700,225.70],[new Date(“2014-03-26”),226.379,226.38],[new Date(“2014-03-27”),226.093,226.09],[new Date(“2014-03-28”),224.855,224.85],[new Date(“2014-03-29”),224.659,224.66],[new Date(“2014-03-30”),224.494,224.49],[new Date(“2014-03-31″),223.353,223.35],]);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_3’));
chart.draw(data, options);
}

February, 2014

01      231.2410
02      231.6874
↘0.446, 0.19%
03      232.0581
↘0.371, 0.16%
04      229.2009
↗2.857, 1.23%
05      228.8383
↗0.363, 0.16%
06      226.4906
↗2.348, 1.03%
07      225.9869
↗0.504, 0.22%
08      225.7817
↗0.205, 0.09%
09      225.6956
↗0.086, 0.04%
10      227.7467
↘2.051, 0.91%
11      227.1639
↗0.583, 0.26%
12      227.5343
↘0.370, 0.16%
13      227.2532
↗0.281, 0.12%
14      225.9014
↗1.352, 0.59%
15      225.6693
↗0.232, 0.10%
16      225.4704
↗0.199, 0.09%
17      224.9935
↗0.477, 0.21%
18      225.5804
↘0.587, 0.26%
19      227.5694
↘1.989, 0.88%
20      227.1931
↗0.376, 0.17%
21      226.2832
↗0.910, 0.40%
22      226.0102
↗0.273, 0.12%
23      225.8152
↗0.195, 0.09%
24      225.7400
↗0.075, 0.03%
25      224.8179
↗0.922, 0.41%
26      226.5452
↘1.727, 0.77%
27      225.9682
↗0.577, 0.25%
28      225.1137
↗0.855, 0.38%
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, 2014

01      215.8753
02      217.5692
↘1.694, 0.78%
03      219.3470
↘1.778, 0.82%
04      219.7323
↘0.385, 0.18%
05      219.8419
↘0.110, 0.05%
06      219.7820
↗0.060, 0.03%
07      220.2672
↘0.485, 0.22%
08      220.8606
↘0.593, 0.27%
09      220.2909
↗0.570, 0.26%
10      218.7583
↗1.533, 0.70%
11      218.5647
↗0.194, 0.09%
12      218.3448
↗0.220, 0.10%
13      218.5517
↘0.207, 0.09%
14      218.5476
↗0.004, 0.00%
15      220.3218
↘1.774, 0.81%
16      220.6249
↘0.303, 0.14%
17      222.0591
↘1.434, 0.65%
18      222.1709
↘0.112, 0.05%
19      222.4707
↘0.300, 0.13%
20      222.6716
↘0.201, 0.09%
21      223.1120
↘0.440, 0.20%
22      223.3503
↘0.238, 0.11%
23      223.0068
↗0.343, 0.15%
24      222.8784
↗0.128, 0.06%
25      222.8965
↘0.018, 0.01%
26      222.6595
↗0.237, 0.11%
27      223.6642
↘1.005, 0.45%
28      221.9798
↗1.684, 0.75%
29      225.6591
↘3.679, 1.66%
30      227.4262
↘1.767, 0.78%
31      230.7926
↘3.366, 1.48%
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var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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