Hungarian Forint HUF 2013 Conversion Rates

  • Opening Value is 220.774629 HUF per Dollar
  • Closing Value is 216.046800 HUF per Dollar
  • Change in Value during 2013 is -4.7278 which is -2.14%
  • Best Performance is on 2013-10-27 with 211.702528 HUF per Dollar
  • Lowest Performance is on 2013-03-25 with 237.716251 HUF per Dollar
  • Average Value is 223.5962 HUF per Dollar
  • Swing Between the higest and the lowest is 26.0137 per Dollar, that is 11.78% compared to the opening value.

USD to HUF Conversion Rates – 12 months

Date 1 USD =
2013-12-31 216.0468 HUF
2013-11-30 221.6139 HUF
2013-10-31 216.4221 HUF
2013-09-30 220.4434 HUF
2013-08-31 227.6747 HUF
2013-07-31 225.4744 HUF
2013-06-30 226.5302 HUF
2013-05-31 226.9556 HUF
2013-04-30 228.9080 HUF
2013-03-31 237.2599 HUF
2013-02-28 226.0188 HUF
2013-01-31 216.1618 HUF
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December, 2013

01      221.8489
02      223.8614
↘2.013, 0.91%
03      222.7550
↗1.106, 0.49%
04      222.3184
↗0.437, 0.20%
05      221.0528
↗1.266, 0.57%
06      219.6955
↗1.357, 0.61%
07      219.4682
↗0.227, 0.10%
08      219.1803
↗0.288, 0.13%
09      219.8832
↘0.703, 0.32%
10      219.5125
↗0.371, 0.17%
11      219.6438
↘0.131, 0.06%
12      220.2868
↘0.643, 0.29%
13      219.6708
↗0.616, 0.28%
14      219.7274
↘0.057, 0.03%
15      219.6080
↗0.119, 0.05%
16      218.0286
↗1.579, 0.72%
17      217.3210
↗0.708, 0.32%
18      218.0027
↘0.682, 0.31%
19      218.5345
↘0.532, 0.24%
20      218.5615
↘0.027, 0.01%
21      218.6001
↘0.039, 0.02%
22      218.4705
↗0.130, 0.06%
23      217.4086
↗1.062, 0.49%
24      217.1915
↗0.217, 0.10%
25      217.1157
↗0.076, 0.03%
26      216.9560
↗0.160, 0.07%
27      215.8560
↗1.100, 0.51%
28      215.6101
↗0.246, 0.11%
29      215.4555
↗0.155, 0.07%
30      215.0783
↗0.377, 0.18%
31      216.0468
↘0.968, 0.45%
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November, 2013

01      219.4780
02      220.2284
↘0.750, 0.34%
03      220.5816
↘0.353, 0.16%
04      219.4234
↗1.158, 0.53%
05      220.4680
↘1.045, 0.48%
06      219.6372
↗0.831, 0.38%
07      220.9731
↘1.336, 0.61%
08      221.4976
↘0.524, 0.24%
09      221.8254
↘0.328, 0.15%
10      221.8868
↘0.061, 0.03%
11      222.5911
↘0.704, 0.32%
12      222.5130
↗0.078, 0.04%
13      221.6812
↗0.832, 0.37%
14      221.6045
↗0.077, 0.03%
15      221.1563
↗0.448, 0.20%
16      221.1326
↗0.024, 0.01%
17      220.9938
↗0.139, 0.06%
18      220.2302
↗0.764, 0.35%
19      219.5413
↗0.689, 0.31%
20      221.0799
↘1.539, 0.70%
21      220.7334
↗0.347, 0.16%
22      220.3991
↗0.334, 0.15%
23      220.2891
↗0.110, 0.05%
24      220.1808
↗0.108, 0.05%
25      220.5799
↘0.399, 0.18%
26      220.1785
↗0.401, 0.18%
27      220.4576
↘0.279, 0.13%
28      220.2598
↗0.198, 0.09%
29      221.4704
↘1.211, 0.55%
30      221.6139
↘0.144, 0.06%
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October, 2013

01      219.6753
02      219.0865
↗0.589, 0.27%
03      218.3844
↗0.702, 0.32%
04      218.5621
↘0.178, 0.08%
05      218.6680
↘0.106, 0.05%
06      218.6911
↘0.023, 0.01%
07      217.8628
↗0.828, 0.38%
08      217.7295
↗0.133, 0.06%
09      218.7679
↘1.038, 0.48%
10      217.9996
↗0.768, 0.35%
11      217.7948
↗0.205, 0.09%
12      217.6998
↗0.095, 0.04%
13      217.6638
↗0.036, 0.02%
14      218.1815
↘0.518, 0.24%
15      218.6264
↘0.445, 0.20%
16      218.3718
↗0.255, 0.12%
17      216.1643
↗2.208, 1.01%
18      215.1198
↗1.045, 0.48%
19      214.8356
↗0.284, 0.13%
20      214.7943
↗0.041, 0.02%
21      214.7682
↗0.026, 0.01%
22      213.1220
↗1.646, 0.77%
23      212.6183
↗0.504, 0.24%
24      211.9233
↗0.695, 0.33%
25      211.8328
↗0.090, 0.04%
26      211.8065
↗0.026, 0.01%
27      211.7025
↗0.104, 0.05%
28      212.1033
↘0.401, 0.19%
29      213.3775
↘1.274, 0.60%
30      213.8028
↘0.425, 0.20%
31      216.4221
↘2.619, 1.23%
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September, 2013

01      227.8147
02      227.5249
↗0.290, 0.13%
03      229.0139
↘1.489, 0.65%
04      228.4015
↗0.612, 0.27%
05      229.8536
↘1.452, 0.64%
06      228.2348
↗1.619, 0.70%
07      227.9389
↗0.296, 0.13%
08      227.7730
↗0.166, 0.07%
09      227.0022
↗0.771, 0.34%
10      226.1023
↗0.900, 0.40%
11      225.3961
↗0.706, 0.31%
12      226.2157
↘0.820, 0.36%
13      226.1257
↗0.090, 0.04%
14      226.0888
↗0.037, 0.02%
15      224.8196
↗1.269, 0.56%
16      224.4476
↗0.372, 0.17%
17      223.0370
↗1.411, 0.63%
18      220.4566
↗2.580, 1.16%
19      219.7484
↗0.708, 0.32%
20      220.4917
↘0.743, 0.34%
21      220.7946
↘0.303, 0.14%
22      220.8144
↘0.020, 0.01%
23      221.1069
↘0.292, 0.13%
24      222.0731
↘0.966, 0.44%
25      221.7284
↗0.345, 0.16%
26      222.0331
↘0.305, 0.14%
27      221.1117
↗0.921, 0.41%
28      221.0627
↗0.049, 0.02%
29      221.2365
↘0.174, 0.08%
30      220.4434
↗0.793, 0.36%
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August, 2013

01      227.0165
02      225.4867
↗1.530, 0.67%
03      225.0263
↗0.460, 0.20%
04      224.6818
↗0.345, 0.15%
05      225.1198
↘0.438, 0.19%
06      224.8167
↗0.303, 0.13%
07      224.7941
↗0.023, 0.01%
08      223.4001
↗1.394, 0.62%
09      222.4490
↗0.951, 0.43%
10      222.1701
↗0.279, 0.13%
11      222.2680
↘0.098, 0.04%
12      223.3960
↘1.128, 0.51%
13      224.4824
↘1.086, 0.49%
14      225.2143
↘0.732, 0.33%
15      224.1750
↗1.039, 0.46%
16      224.8910
↘0.716, 0.32%
17      224.8748
↗0.016, 0.01%
18      225.0807
↘0.206, 0.09%
19      225.3497
↘0.269, 0.12%
20      223.6722
↗1.677, 0.74%
21      224.9366
↘1.264, 0.57%
22      224.2746
↗0.662, 0.29%
23      223.2063
↗1.068, 0.48%
24      222.9140
↗0.292, 0.13%
25      222.8033
↗0.111, 0.05%
26      223.2263
↘0.423, 0.19%
27      224.7650
↘1.539, 0.69%
28      225.2784
↘0.513, 0.23%
29      226.6552
↘1.377, 0.61%
30      227.3653
↘0.710, 0.31%
31      227.6747
↘0.309, 0.14%
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July, 2013

01      225.4594
02      226.1555
↘0.696, 0.31%
03      226.3221
↘0.167, 0.07%
04      227.1536
↘0.831, 0.37%
05      229.3527
↘2.199, 0.97%
06      230.1401
↘0.787, 0.34%
07      230.5464
↘0.406, 0.18%
08      229.5765
↗0.970, 0.42%
09      229.1098
↗0.467, 0.20%
10      225.9921
↗3.118, 1.36%
11      224.5661
↗1.426, 0.63%
12      223.7521
↗0.814, 0.36%
13      223.5355
↗0.217, 0.10%
14      223.6100
↘0.075, 0.03%
15      223.4672
↗0.143, 0.06%
16      223.0150
↗0.452, 0.20%
17      223.0050
↗0.010, 0.00%
18      224.1869
↘1.182, 0.53%
19      224.4999
↘0.313, 0.14%
20      225.1501
↘0.650, 0.29%
21      225.0641
↗0.086, 0.04%
22      223.8000
↗1.264, 0.56%
23      223.9587
↘0.159, 0.07%
24      224.4362
↘0.477, 0.21%
25      224.0989
↗0.337, 0.15%
26      223.9826
↗0.116, 0.05%
27      223.8403
↗0.142, 0.06%
28      223.8666
↘0.026, 0.01%
29      224.5839
↘0.717, 0.32%
30      225.2985
↘0.715, 0.32%
31      225.4744
↘0.176, 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(“2013-07-01”),225.459,225.46],[new Date(“2013-07-02”),226.155,226.16],[new Date(“2013-07-03”),226.322,226.32],[new Date(“2013-07-04”),227.154,227.15],[new Date(“2013-07-05”),229.353,229.35],[new Date(“2013-07-06”),230.140,230.14],[new Date(“2013-07-07”),230.546,230.55],[new Date(“2013-07-08”),229.576,229.58],[new Date(“2013-07-09”),229.110,229.11],[new Date(“2013-07-10”),225.992,225.99],[new Date(“2013-07-11”),224.566,224.57],[new Date(“2013-07-12”),223.752,223.75],[new Date(“2013-07-13”),223.536,223.54],[new Date(“2013-07-14”),223.610,223.61],[new Date(“2013-07-15”),223.467,223.47],[new Date(“2013-07-16”),223.015,223.01],[new Date(“2013-07-17”),223.005,223.00],[new Date(“2013-07-18”),224.187,224.19],[new Date(“2013-07-19”),224.500,224.50],[new Date(“2013-07-20”),225.150,225.15],[new Date(“2013-07-21”),225.064,225.06],[new Date(“2013-07-22”),223.800,223.80],[new Date(“2013-07-23”),223.959,223.96],[new Date(“2013-07-24”),224.436,224.44],[new Date(“2013-07-25”),224.099,224.10],[new Date(“2013-07-26”),223.983,223.98],[new Date(“2013-07-27”),223.840,223.84],[new Date(“2013-07-28”),223.867,223.87],[new Date(“2013-07-29”),224.584,224.58],[new Date(“2013-07-30”),225.298,225.30],[new Date(“2013-07-31″),225.474,225.47],]);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      228.0839
02      228.4389
↘0.355, 0.16%
03      225.5166
↗2.922, 1.28%
04      224.9545
↗0.562, 0.25%
05      226.3294
↘1.375, 0.61%
06      225.2306
↗1.099, 0.49%
07      224.5778
↗0.653, 0.29%
08      223.9821
↗0.596, 0.27%
09      223.8907
↗0.091, 0.04%
10      225.1709
↘1.280, 0.57%
11      224.0053
↗1.166, 0.52%
12      223.2300
↗0.775, 0.35%
13      220.3473
↗2.883, 1.29%
14      218.7153
↗1.632, 0.74%
15      218.1233
↗0.592, 0.27%
16      217.9039
↗0.219, 0.10%
17      218.2822
↘0.378, 0.17%
18      218.8978
↘0.616, 0.28%
19      222.1965
↘3.299, 1.51%
20      225.1207
↘2.924, 1.32%
21      227.3299
↘2.209, 0.98%
22      227.8407
↘0.511, 0.22%
23      228.0735
↘0.233, 0.10%
24      227.9901
↗0.083, 0.04%
25      226.9885
↗1.002, 0.44%
26      227.6381
↘0.650, 0.29%
27      227.0791
↗0.559, 0.25%
28      226.8543
↗0.225, 0.10%
29      226.5818
↗0.273, 0.12%
30      226.5302
↗0.052, 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(“2013-06-01”),228.084,228.08],[new Date(“2013-06-02”),228.439,228.44],[new Date(“2013-06-03”),225.517,225.52],[new Date(“2013-06-04”),224.955,224.95],[new Date(“2013-06-05”),226.329,226.33],[new Date(“2013-06-06”),225.231,225.23],[new Date(“2013-06-07”),224.578,224.58],[new Date(“2013-06-08”),223.982,223.98],[new Date(“2013-06-09”),223.891,223.89],[new Date(“2013-06-10”),225.171,225.17],[new Date(“2013-06-11”),224.005,224.01],[new Date(“2013-06-12”),223.230,223.23],[new Date(“2013-06-13”),220.347,220.35],[new Date(“2013-06-14”),218.715,218.72],[new Date(“2013-06-15”),218.123,218.12],[new Date(“2013-06-16”),217.904,217.90],[new Date(“2013-06-17”),218.282,218.28],[new Date(“2013-06-18”),218.898,218.90],[new Date(“2013-06-19”),222.196,222.20],[new Date(“2013-06-20”),225.121,225.12],[new Date(“2013-06-21”),227.330,227.33],[new Date(“2013-06-22”),227.841,227.84],[new Date(“2013-06-23”),228.073,228.07],[new Date(“2013-06-24”),227.990,227.99],[new Date(“2013-06-25”),226.989,226.99],[new Date(“2013-06-26”),227.638,227.64],[new Date(“2013-06-27”),227.079,227.08],[new Date(“2013-06-28”),226.854,226.85],[new Date(“2013-06-29”),226.582,226.58],[new Date(“2013-06-30″),226.530,226.53],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2013

01      227.1961
02      226.7820
↗0.414, 0.18%
03      225.8231
↗0.959, 0.42%
04      225.7274
↗0.096, 0.04%
05      226.0914
↘0.364, 0.16%
06      226.4847
↘0.393, 0.17%
07      226.3027
↗0.182, 0.08%
08      223.7827
↗2.520, 1.11%
09      224.3767
↘0.594, 0.27%
10      224.9773
↘0.601, 0.27%
11      225.5748
↘0.597, 0.27%
12      225.8602
↘0.285, 0.13%
13      226.5645
↘0.704, 0.31%
14      227.4779
↘0.913, 0.40%
15      226.3266
↗1.151, 0.51%
16      226.5101
↘0.183, 0.08%
17      226.6818
↘0.172, 0.08%
18      226.6918
↘0.010, 0.00%
19      226.7180
↘0.026, 0.01%
20      225.8165
↗0.902, 0.40%
21      225.0101
↗0.806, 0.36%
22      225.0452
↘0.035, 0.02%
23      225.1007
↘0.055, 0.02%
24      224.1748
↗0.926, 0.41%
25      223.9350
↗0.240, 0.11%
26      223.8238
↗0.111, 0.05%
27      223.6957
↗0.128, 0.06%
28      223.6013
↗0.094, 0.04%
29      223.8603
↘0.259, 0.12%
30      224.6648
↘0.804, 0.36%
31      226.9556
↘2.291, 1.02%
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(“2013-05-01”),227.196,227.20],[new Date(“2013-05-02”),226.782,226.78],[new Date(“2013-05-03”),225.823,225.82],[new Date(“2013-05-04”),225.727,225.73],[new Date(“2013-05-05”),226.091,226.09],[new Date(“2013-05-06”),226.485,226.48],[new Date(“2013-05-07”),226.303,226.30],[new Date(“2013-05-08”),223.783,223.78],[new Date(“2013-05-09”),224.377,224.38],[new Date(“2013-05-10”),224.977,224.98],[new Date(“2013-05-11”),225.575,225.57],[new Date(“2013-05-12”),225.860,225.86],[new Date(“2013-05-13”),226.564,226.56],[new Date(“2013-05-14”),227.478,227.48],[new Date(“2013-05-15”),226.327,226.33],[new Date(“2013-05-16”),226.510,226.51],[new Date(“2013-05-17”),226.682,226.68],[new Date(“2013-05-18”),226.692,226.69],[new Date(“2013-05-19”),226.718,226.72],[new Date(“2013-05-20”),225.817,225.82],[new Date(“2013-05-21”),225.010,225.01],[new Date(“2013-05-22”),225.045,225.05],[new Date(“2013-05-23”),225.101,225.10],[new Date(“2013-05-24”),224.175,224.17],[new Date(“2013-05-25”),223.935,223.94],[new Date(“2013-05-26”),223.824,223.82],[new Date(“2013-05-27”),223.696,223.70],[new Date(“2013-05-28”),223.601,223.60],[new Date(“2013-05-29”),223.860,223.86],[new Date(“2013-05-30”),224.665,224.66],[new Date(“2013-05-31″),226.956,226.96],]);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      236.8417
02      236.0210
↗0.821, 0.35%
03      235.5939
↗0.427, 0.18%
04      233.5496
↗2.044, 0.87%
05      232.0990
↗1.451, 0.62%
06      230.8985
↗1.200, 0.52%
07      229.9664
↗0.932, 0.40%
08      228.3461
↗1.620, 0.70%
09      227.7566
↗0.590, 0.26%
10      227.3501
↗0.406, 0.18%
11      226.3866
↗0.963, 0.42%
12      225.7489
↗0.638, 0.28%
13      225.5559
↗0.193, 0.09%
14      225.4159
↗0.140, 0.06%
15      225.9871
↘0.571, 0.25%
16      223.5803
↗2.407, 1.07%
17      225.6427
↘2.062, 0.92%
18      227.4861
↘1.843, 0.82%
19      228.3588
↘0.873, 0.38%
20      228.6207
↘0.262, 0.11%
21      228.5544
↗0.066, 0.03%
22      228.5861
↘0.032, 0.01%
23      230.4883
↘1.902, 0.83%
24      230.5296
↘0.041, 0.02%
25      231.1712
↘0.642, 0.28%
26      231.6668
↘0.496, 0.21%
27      231.9114
↘0.245, 0.11%
28      231.7046
↗0.207, 0.09%
29      229.7208
↗1.984, 0.86%
30      228.9080
↗0.813, 0.35%
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”),236.842,236.84],[new Date(“2013-04-02”),236.021,236.02],[new Date(“2013-04-03”),235.594,235.59],[new Date(“2013-04-04”),233.550,233.55],[new Date(“2013-04-05”),232.099,232.10],[new Date(“2013-04-06”),230.899,230.90],[new Date(“2013-04-07”),229.966,229.97],[new Date(“2013-04-08”),228.346,228.35],[new Date(“2013-04-09”),227.757,227.76],[new Date(“2013-04-10”),227.350,227.35],[new Date(“2013-04-11”),226.387,226.39],[new Date(“2013-04-12”),225.749,225.75],[new Date(“2013-04-13”),225.556,225.56],[new Date(“2013-04-14”),225.416,225.42],[new Date(“2013-04-15”),225.987,225.99],[new Date(“2013-04-16”),223.580,223.58],[new Date(“2013-04-17”),225.643,225.64],[new Date(“2013-04-18”),227.486,227.49],[new Date(“2013-04-19”),228.359,228.36],[new Date(“2013-04-20”),228.621,228.62],[new Date(“2013-04-21”),228.554,228.55],[new Date(“2013-04-22”),228.586,228.59],[new Date(“2013-04-23”),230.488,230.49],[new Date(“2013-04-24”),230.530,230.53],[new Date(“2013-04-25”),231.171,231.17],[new Date(“2013-04-26”),231.667,231.67],[new Date(“2013-04-27”),231.911,231.91],[new Date(“2013-04-28”),231.705,231.70],[new Date(“2013-04-29”),229.721,229.72],[new Date(“2013-04-30″),228.908,228.91],]);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      226.1063
02      226.3085
↘0.202, 0.09%
03      226.3451
↘0.037, 0.02%
04      228.2069
↘1.862, 0.82%
05      228.2596
↘0.053, 0.02%
06      230.4738
↘2.214, 0.97%
07      228.1889
↗2.285, 0.99%
08      230.0644
↘1.876, 0.82%
09      229.9548
↗0.110, 0.05%
10      230.4286
↘0.474, 0.21%
11      231.4287
↘1.000, 0.43%
12      234.3649
↘2.936, 1.27%
13      234.6305
↘0.266, 0.11%
14      233.8486
↗0.782, 0.33%
15      233.7623
↗0.086, 0.04%
16      233.4713
↗0.291, 0.12%
17      234.4674
↘0.996, 0.43%
18      235.8418
↘1.374, 0.59%
19      237.3170
↘1.475, 0.63%
20      235.8715
↗1.445, 0.61%
21      237.3187
↘1.447, 0.61%
22      236.2271
↗1.092, 0.46%
23      236.4886
↘0.262, 0.11%
24      236.3872
↗0.101, 0.04%
25      237.7163
↘1.329, 0.56%
26      236.6112
↗1.105, 0.46%
27      237.2819
↘0.671, 0.28%
28      237.5540
↘0.272, 0.11%
29      237.3199
↗0.234, 0.10%
30      237.2793
↗0.041, 0.02%
31      237.2599
↗0.019, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-03-01”),226.106,226.11],[new Date(“2013-03-02”),226.308,226.31],[new Date(“2013-03-03”),226.345,226.35],[new Date(“2013-03-04”),228.207,228.21],[new Date(“2013-03-05”),228.260,228.26],[new Date(“2013-03-06”),230.474,230.47],[new Date(“2013-03-07”),228.189,228.19],[new Date(“2013-03-08”),230.064,230.06],[new Date(“2013-03-09”),229.955,229.95],[new Date(“2013-03-10”),230.429,230.43],[new Date(“2013-03-11”),231.429,231.43],[new Date(“2013-03-12”),234.365,234.36],[new Date(“2013-03-13”),234.631,234.63],[new Date(“2013-03-14”),233.849,233.85],[new Date(“2013-03-15”),233.762,233.76],[new Date(“2013-03-16”),233.471,233.47],[new Date(“2013-03-17”),234.467,234.47],[new Date(“2013-03-18”),235.842,235.84],[new Date(“2013-03-19”),237.317,237.32],[new Date(“2013-03-20”),235.872,235.87],[new Date(“2013-03-21”),237.319,237.32],[new Date(“2013-03-22”),236.227,236.23],[new Date(“2013-03-23”),236.489,236.49],[new Date(“2013-03-24”),236.387,236.39],[new Date(“2013-03-25”),237.716,237.72],[new Date(“2013-03-26”),236.611,236.61],[new Date(“2013-03-27”),237.282,237.28],[new Date(“2013-03-28”),237.554,237.55],[new Date(“2013-03-29”),237.320,237.32],[new Date(“2013-03-30”),237.279,237.28],[new Date(“2013-03-31″),237.260,237.26],]);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      214.6853
02      214.4173
↗0.268, 0.12%
03      214.2483
↗0.169, 0.08%
04      216.5481
↘2.300, 1.07%
05      216.3639
↗0.184, 0.09%
06      217.4558
↘1.092, 0.50%
07      218.0205
↘0.565, 0.26%
08      217.8239
↗0.197, 0.09%
09      217.6601
↗0.164, 0.08%
10      217.5207
↗0.139, 0.06%
11      217.1600
↗0.361, 0.17%
12      216.1159
↗1.044, 0.48%
13      215.9244
↗0.191, 0.09%
14      217.8471
↘1.923, 0.89%
15      218.6726
↘0.826, 0.38%
16      218.9057
↘0.233, 0.11%
17      219.3315
↘0.426, 0.19%
18      218.4413
↗0.890, 0.41%
19      217.9548
↗0.487, 0.22%
20      218.8994
↘0.945, 0.43%
21      221.4517
↘2.552, 1.17%
22      222.1529
↘0.701, 0.32%
23      222.7185
↘0.566, 0.25%
24      222.6965
↗0.022, 0.01%
25      224.7959
↘2.099, 0.94%
26      224.8365
↘0.041, 0.02%
27      225.2219
↘0.385, 0.17%
28      226.0188
↘0.797, 0.35%
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      220.7746
02      220.5811
↗0.194, 0.09%
03      221.0179
↘0.437, 0.20%
04      221.6511
↘0.633, 0.29%
05      221.8691
↘0.218, 0.10%
06      221.7941
↗0.075, 0.03%
07      221.8748
↘0.081, 0.04%
08      222.9917
↘1.117, 0.50%
09      222.2600
↗0.732, 0.33%
10      221.8242
↗0.436, 0.20%
11      221.7634
↗0.061, 0.03%
12      221.7133
↗0.050, 0.02%
13      221.5763
↗0.137, 0.06%
14      220.8830
↗0.693, 0.31%
15      221.6851
↘0.802, 0.36%
16      221.6402
↗0.045, 0.02%
17      219.8352
↗1.805, 0.81%
18      220.0393
↘0.204, 0.09%
19      219.9534
↗0.086, 0.04%
20      220.0837
↘0.130, 0.06%
21      220.1206
↘0.037, 0.02%
22      220.6526
↘0.532, 0.24%
23      220.8541
↘0.202, 0.09%
24      220.8889
↘0.035, 0.02%
25      221.0878
↘0.199, 0.09%
26      220.9943
↗0.093, 0.04%
27      221.0676
↘0.073, 0.03%
28      221.3010
↘0.233, 0.11%
29      220.1486
↗1.152, 0.52%
30      217.9018
↗2.247, 1.02%
31      216.1618
↗1.740, 0.80%
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