Bangladeshi Taka BDT 2012 Conversion Rates

  • Opening Value is 81.804626 BDT per Dollar
  • Closing Value is 79.721225 BDT per Dollar
  • Change in Value during 2012 is -2.0834 which is -2.55%
  • Best Performance is on 2012-12-30 with 79.662038 BDT per Dollar
  • Lowest Performance is on 2012-01-31 with 84.566264 BDT per Dollar
  • Average Value is 81.9011 BDT per Dollar
  • Swing Between the higest and the lowest is 4.9042 per Dollar, that is 6.00% compared to the opening value.

USD to BDT Conversion Rates – 12 months

Date 1 USD =
2012-12-31 79.7212 BDT
2012-11-30 81.3340 BDT
2012-10-31 81.4022 BDT
2012-09-30 82.0560 BDT
2012-08-31 81.8635 BDT
2012-07-31 81.7719 BDT
2012-06-30 81.8407 BDT
2012-05-31 82.0068 BDT
2012-04-30 81.9777 BDT
2012-03-31 81.8837 BDT
2012-02-29 81.8440 BDT
2012-01-31 84.5663 BDT
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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‘colors’:[‘red’]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
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December, 2012

01      81.3773
02      81.3392
↗0.038, 0.05%
03      81.2701
↗0.069, 0.08%
04      81.4009
↘0.131, 0.16%
05      81.4744
↘0.074, 0.09%
06      81.4710
↗0.003, 0.00%
07      81.2400
↗0.231, 0.28%
08      81.2700
↘0.030, 0.04%
09      81.2297
↗0.040, 0.05%
10      80.9346
↗0.295, 0.36%
11      81.1917
↘0.257, 0.32%
12      81.0653
↗0.126, 0.16%
13      81.1156
↘0.050, 0.06%
14      81.0012
↗0.114, 0.14%
15      81.0052
↘0.004, 0.00%
16      80.7852
↗0.220, 0.27%
17      80.4903
↗0.295, 0.37%
18      80.6835
↘0.193, 0.24%
19      80.8596
↘0.176, 0.22%
20      80.6481
↗0.212, 0.26%
21      80.5421
↗0.106, 0.13%
22      80.4524
↗0.090, 0.11%
23      80.4607
↘0.008, 0.01%
24      80.5204
↘0.060, 0.07%
25      80.4853
↗0.035, 0.04%
26      80.4537
↗0.032, 0.04%
27      80.2494
↗0.204, 0.25%
28      79.8932
↗0.356, 0.44%
29      79.8352
↗0.058, 0.07%
30      79.6620
↗0.173, 0.22%
31      79.7212
↘0.059, 0.07%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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‘colors’:[”]
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chart.draw(data, options);
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November, 2012

01      81.2744
02      81.5662
↘0.292, 0.36%
03      81.5822
↘0.016, 0.02%
04      81.7525
↘0.170, 0.21%
05      81.5312
↗0.221, 0.27%
06      81.3903
↗0.141, 0.17%
07      81.4828
↘0.092, 0.11%
08      81.4367
↗0.046, 0.06%
09      81.2765
↗0.160, 0.20%
10      81.2632
↗0.013, 0.02%
11      81.2280
↗0.035, 0.04%
12      81.6317
↘0.404, 0.50%
13      81.8137
↘0.182, 0.22%
14      81.8791
↘0.065, 0.08%
15      81.7659
↗0.113, 0.14%
16      81.8906
↘0.125, 0.15%
17      81.8660
↗0.025, 0.03%
18      81.8923
↘0.026, 0.03%
19      81.4827
↗0.410, 0.50%
20      81.3053
↗0.177, 0.22%
21      81.1145
↗0.191, 0.23%
22      81.3779
↘0.263, 0.32%
23      81.1869
↗0.191, 0.23%
24      81.2471
↘0.060, 0.07%
25      80.9792
↗0.268, 0.33%
26      81.0942
↘0.115, 0.14%
27      81.3001
↘0.206, 0.25%
28      81.3746
↘0.074, 0.09%
29      81.3719
↗0.003, 0.00%
30      81.3340
↗0.038, 0.05%
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‘colors’:[”]
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chart.draw(data, options);
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October, 2012

01      81.8033
02      81.7617
↗0.042, 0.05%
03      81.7516
↗0.010, 0.01%
04      81.2412
↗0.510, 0.62%
05      81.6144
↘0.373, 0.46%
06      81.6108
↗0.004, 0.00%
07      81.5773
↗0.034, 0.04%
08      81.3474
↗0.230, 0.28%
09      81.5017
↘0.154, 0.19%
10      81.2851
↗0.217, 0.27%
11      81.2450
↗0.040, 0.05%
12      81.3884
↘0.143, 0.18%
13      81.3788
↗0.010, 0.01%
14      81.4763
↘0.098, 0.12%
15      81.3957
↗0.081, 0.10%
16      81.0786
↗0.317, 0.39%
17      81.2519
↘0.173, 0.21%
18      81.3378
↘0.086, 0.11%
19      81.4588
↘0.121, 0.15%
20      81.5186
↘0.060, 0.07%
21      81.5371
↘0.019, 0.02%
22      81.3816
↗0.156, 0.19%
23      81.3545
↗0.027, 0.03%
24      81.2502
↗0.104, 0.13%
25      81.4601
↘0.210, 0.26%
26      81.3016
↗0.159, 0.19%
27      81.3680
↘0.066, 0.08%
28      81.2250
↗0.143, 0.18%
29      81.2200
↗0.005, 0.01%
30      81.1890
↗0.031, 0.04%
31      81.4022
↘0.213, 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”);
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‘colors’:[”]
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chart.draw(data, options);
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September, 2012

01      81.8624
02      81.8969
↘0.034, 0.04%
03      81.4982
↗0.399, 0.49%
04      81.8151
↘0.317, 0.39%
05      81.6388
↗0.176, 0.22%
06      81.6962
↘0.057, 0.07%
07      81.6054
↗0.091, 0.11%
08      81.6023
↗0.003, 0.00%
09      81.3840
↗0.218, 0.27%
10      81.8920
↘0.508, 0.62%
11      81.6007
↗0.291, 0.36%
12      81.9120
↘0.311, 0.38%
13      81.6746
↗0.237, 0.29%
14      81.8702
↘0.196, 0.24%
15      81.8604
↗0.010, 0.01%
16      81.8607
↘0.000, 0.00%
17      81.8149
↗0.046, 0.06%
18      81.8111
↗0.004, 0.00%
19      81.7009
↗0.110, 0.13%
20      81.5996
↗0.101, 0.12%
21      81.9620
↘0.362, 0.44%
22      81.9630
↘0.001, 0.00%
23      82.0193
↘0.056, 0.07%
24      81.4936
↗0.526, 0.64%
25      81.8482
↘0.355, 0.44%
26      81.5726
↗0.276, 0.34%
27      81.4264
↗0.146, 0.18%
28      81.9307
↘0.504, 0.62%
29      81.9362
↘0.005, 0.01%
30      82.0560
↘0.120, 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”);
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‘colors’:[”]
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chart.draw(data, options);
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August, 2012

01      81.9648
02      82.1964
↘0.232, 0.28%
03      81.5811
↗0.615, 0.75%
04      81.5768
↗0.004, 0.01%
05      81.3464
↗0.230, 0.28%
06      81.3348
↗0.012, 0.01%
07      81.5331
↘0.198, 0.24%
08      81.4702
↗0.063, 0.08%
09      81.6420
↘0.172, 0.21%
10      81.5834
↗0.059, 0.07%
11      81.5723
↗0.011, 0.01%
12      81.5359
↗0.036, 0.04%
13      81.5447
↘0.009, 0.01%
14      81.8219
↘0.277, 0.34%
15      81.7179
↗0.104, 0.13%
16      81.3293
↗0.389, 0.48%
17      81.7377
↘0.408, 0.50%
18      81.7599
↘0.022, 0.03%
19      81.8014
↘0.042, 0.05%
20      81.5608
↗0.241, 0.29%
21      81.4604
↗0.100, 0.12%
22      81.1909
↗0.270, 0.33%
23      81.3286
↘0.138, 0.17%
24      81.4818
↘0.153, 0.19%
25      81.4981
↘0.016, 0.02%
26      81.5203
↘0.022, 0.03%
27      81.5012
↗0.019, 0.02%
28      81.3615
↗0.140, 0.17%
29      81.5186
↘0.157, 0.19%
30      81.8641
↘0.345, 0.42%
31      81.8635
↗0.001, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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chart.draw(data, options);
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July, 2012

01      81.7136
02      82.1292
↘0.416, 0.51%
03      81.9146
↗0.215, 0.26%
04      82.0549
↘0.140, 0.17%
05      82.2408
↘0.186, 0.23%
06      82.0246
↗0.216, 0.26%
07      82.0235
↗0.001, 0.00%
08      82.1414
↘0.118, 0.14%
09      82.1502
↘0.009, 0.01%
10      82.1170
↗0.033, 0.04%
11      82.0481
↗0.069, 0.08%
12      81.7903
↗0.258, 0.31%
13      81.9809
↘0.191, 0.23%
14      81.9820
↘0.001, 0.00%
15      81.8468
↗0.135, 0.16%
16      81.6678
↗0.179, 0.22%
17      81.7583
↘0.090, 0.11%
18      81.6131
↗0.145, 0.18%
19      81.8818
↘0.269, 0.33%
20      81.9996
↘0.118, 0.14%
21      82.0051
↘0.006, 0.01%
22      82.2404
↘0.235, 0.29%
23      81.8911
↗0.349, 0.42%
24      81.9579
↘0.067, 0.08%
25      81.6983
↗0.260, 0.32%
26      81.5297
↗0.169, 0.21%
27      81.8284
↘0.299, 0.37%
28      81.8340
↘0.006, 0.01%
29      81.8302
↗0.004, 0.00%
30      81.7354
↗0.095, 0.12%
31      81.7719
↘0.036, 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(“2012-07-01”),81.714,81.71],[new Date(“2012-07-02”),82.129,82.13],[new Date(“2012-07-03”),81.915,81.91],[new Date(“2012-07-04”),82.055,82.05],[new Date(“2012-07-05”),82.241,82.24],[new Date(“2012-07-06”),82.025,82.02],[new Date(“2012-07-07”),82.023,82.02],[new Date(“2012-07-08”),82.141,82.14],[new Date(“2012-07-09”),82.150,82.15],[new Date(“2012-07-10”),82.117,82.12],[new Date(“2012-07-11”),82.048,82.05],[new Date(“2012-07-12”),81.790,81.79],[new Date(“2012-07-13”),81.981,81.98],[new Date(“2012-07-14”),81.982,81.98],[new Date(“2012-07-15”),81.847,81.85],[new Date(“2012-07-16”),81.668,81.67],[new Date(“2012-07-17”),81.758,81.76],[new Date(“2012-07-18”),81.613,81.61],[new Date(“2012-07-19”),81.882,81.88],[new Date(“2012-07-20”),82.000,82.00],[new Date(“2012-07-21”),82.005,82.01],[new Date(“2012-07-22”),82.240,82.24],[new Date(“2012-07-23”),81.891,81.89],[new Date(“2012-07-24”),81.958,81.96],[new Date(“2012-07-25”),81.698,81.70],[new Date(“2012-07-26”),81.530,81.53],[new Date(“2012-07-27”),81.828,81.83],[new Date(“2012-07-28”),81.834,81.83],[new Date(“2012-07-29”),81.830,81.83],[new Date(“2012-07-30”),81.735,81.74],[new Date(“2012-07-31″),81.772,81.77],]);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, 2012

01      82.0332
02      82.0332
→0.000, 0.00%
03      82.0332
→0.000, 0.00%
04      81.9562
↗0.077, 0.09%
05      82.0112
↘0.055, 0.07%
06      82.0041
↗0.007, 0.01%
07      82.1459
↘0.142, 0.17%
08      82.0145
↗0.131, 0.16%
09      82.0145
→0.000, 0.00%
10      82.0145
→0.000, 0.00%
11      82.0532
↘0.039, 0.05%
12      81.9489
↗0.104, 0.13%
13      82.0746
↘0.126, 0.15%
14      81.9266
↗0.148, 0.18%
15      81.8226
↗0.104, 0.13%
16      81.8226
→0.000, 0.00%
17      81.8226
→0.000, 0.00%
18      81.9394
↘0.117, 0.14%
19      81.9753
↘0.036, 0.04%
20      81.7208
↗0.254, 0.31%
21      81.5506
↗0.170, 0.21%
22      82.0213
↘0.471, 0.58%
23      82.0213
→0.000, 0.00%
24      82.0213
→0.000, 0.00%
25      81.9578
↗0.064, 0.08%
26      82.0309
↘0.073, 0.09%
27      81.9414
↗0.089, 0.11%
28      81.8307
↗0.111, 0.14%
29      81.8757
↘0.045, 0.05%
30      81.8407
↗0.035, 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(“2012-06-01”),82.033,82.03],[new Date(“2012-06-02”),82.033,82.03],[new Date(“2012-06-03”),82.033,82.03],[new Date(“2012-06-04”),81.956,81.96],[new Date(“2012-06-05”),82.011,82.01],[new Date(“2012-06-06”),82.004,82.00],[new Date(“2012-06-07”),82.146,82.15],[new Date(“2012-06-08”),82.014,82.01],[new Date(“2012-06-09”),82.014,82.01],[new Date(“2012-06-10”),82.014,82.01],[new Date(“2012-06-11”),82.053,82.05],[new Date(“2012-06-12”),81.949,81.95],[new Date(“2012-06-13”),82.075,82.07],[new Date(“2012-06-14”),81.927,81.93],[new Date(“2012-06-15”),81.823,81.82],[new Date(“2012-06-16”),81.823,81.82],[new Date(“2012-06-17”),81.823,81.82],[new Date(“2012-06-18”),81.939,81.94],[new Date(“2012-06-19”),81.975,81.98],[new Date(“2012-06-20”),81.721,81.72],[new Date(“2012-06-21”),81.551,81.55],[new Date(“2012-06-22”),82.021,82.02],[new Date(“2012-06-23”),82.021,82.02],[new Date(“2012-06-24”),82.021,82.02],[new Date(“2012-06-25”),81.958,81.96],[new Date(“2012-06-26”),82.031,82.03],[new Date(“2012-06-27”),81.941,81.94],[new Date(“2012-06-28”),81.831,81.83],[new Date(“2012-06-29”),81.876,81.88],[new Date(“2012-06-30″),81.841,81.84],]);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_6’));
chart.draw(data, options);
}

May, 2012

01      81.9777
02      82.0933
↘0.116, 0.14%
03      81.9993
↗0.094, 0.11%
04      81.9736
↗0.026, 0.03%
05      81.9736
→0.000, 0.00%
06      81.9736
→0.000, 0.00%
07      82.0231
↘0.049, 0.06%
08      81.8889
↗0.134, 0.16%
09      81.9131
↘0.024, 0.03%
10      81.9205
↘0.007, 0.01%
11      81.8065
↗0.114, 0.14%
12      81.8065
→0.000, 0.00%
13      81.8065
→0.000, 0.00%
14      81.8303
↘0.024, 0.03%
15      81.8831
↘0.053, 0.06%
16      81.9689
↘0.086, 0.10%
17      81.8065
↗0.162, 0.20%
18      81.8552
↘0.049, 0.06%
19      81.8927
↘0.038, 0.05%
20      81.8927
→0.000, 0.00%
21      81.9061
↘0.013, 0.02%
22      81.8875
↗0.019, 0.02%
23      81.9166
↘0.029, 0.04%
24      81.8945
↗0.022, 0.03%
25      81.9255
↘0.031, 0.04%
26      81.9255
→0.000, 0.00%
27      81.9255
→0.000, 0.00%
28      81.9841
↘0.059, 0.07%
29      81.9294
↗0.055, 0.07%
30      82.0486
↘0.119, 0.15%
31      82.0068
↗0.042, 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(“2012-05-01”),81.978,81.98],[new Date(“2012-05-02”),82.093,82.09],[new Date(“2012-05-03”),81.999,82.00],[new Date(“2012-05-04”),81.974,81.97],[new Date(“2012-05-05”),81.974,81.97],[new Date(“2012-05-06”),81.974,81.97],[new Date(“2012-05-07”),82.023,82.02],[new Date(“2012-05-08”),81.889,81.89],[new Date(“2012-05-09”),81.913,81.91],[new Date(“2012-05-10”),81.921,81.92],[new Date(“2012-05-11”),81.807,81.81],[new Date(“2012-05-12”),81.807,81.81],[new Date(“2012-05-13”),81.807,81.81],[new Date(“2012-05-14”),81.830,81.83],[new Date(“2012-05-15”),81.883,81.88],[new Date(“2012-05-16”),81.969,81.97],[new Date(“2012-05-17”),81.807,81.81],[new Date(“2012-05-18”),81.855,81.86],[new Date(“2012-05-19”),81.893,81.89],[new Date(“2012-05-20”),81.893,81.89],[new Date(“2012-05-21”),81.906,81.91],[new Date(“2012-05-22”),81.888,81.89],[new Date(“2012-05-23”),81.917,81.92],[new Date(“2012-05-24”),81.894,81.89],[new Date(“2012-05-25”),81.926,81.93],[new Date(“2012-05-26”),81.926,81.93],[new Date(“2012-05-27”),81.926,81.93],[new Date(“2012-05-28”),81.984,81.98],[new Date(“2012-05-29”),81.929,81.93],[new Date(“2012-05-30”),82.049,82.05],[new Date(“2012-05-31″),82.007,82.01],]);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, 2012

01      81.8837
02      81.8837
→0.000, 0.00%
03      81.8686
↗0.015, 0.02%
04      81.9210
↘0.052, 0.06%
05      81.9860
↘0.065, 0.08%
06      81.9860
→0.000, 0.00%
07      81.9860
→0.000, 0.00%
08      81.8835
↗0.103, 0.13%
09      81.8835
→0.000, 0.00%
10      81.8585
↗0.025, 0.03%
11      81.9898
↘0.131, 0.16%
12      81.9425
↗0.047, 0.06%
13      81.8144
↗0.128, 0.16%
14      81.8144
→0.000, 0.00%
15      81.8169
↘0.002, 0.00%
16      81.9166
↘0.100, 0.12%
17      81.9072
↗0.009, 0.01%
18      81.9218
↘0.015, 0.02%
19      81.8831
↗0.039, 0.05%
20      81.7749
↗0.108, 0.13%
21      81.7749
→0.000, 0.00%
22      81.7749
→0.000, 0.00%
23      81.8071
↘0.032, 0.04%
24      81.9124
↘0.105, 0.13%
25      81.9581
↘0.046, 0.06%
26      81.9341
↗0.024, 0.03%
27      81.8258
↗0.108, 0.13%
28      81.8258
→0.000, 0.00%
29      81.8258
→0.000, 0.00%
30      81.9777
↘0.152, 0.19%
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(“2012-04-01”),81.884,81.88],[new Date(“2012-04-02”),81.884,81.88],[new Date(“2012-04-03”),81.869,81.87],[new Date(“2012-04-04”),81.921,81.92],[new Date(“2012-04-05”),81.986,81.99],[new Date(“2012-04-06”),81.986,81.99],[new Date(“2012-04-07”),81.986,81.99],[new Date(“2012-04-08”),81.884,81.88],[new Date(“2012-04-09”),81.884,81.88],[new Date(“2012-04-10”),81.859,81.86],[new Date(“2012-04-11”),81.990,81.99],[new Date(“2012-04-12”),81.942,81.94],[new Date(“2012-04-13”),81.814,81.81],[new Date(“2012-04-14”),81.814,81.81],[new Date(“2012-04-15”),81.817,81.82],[new Date(“2012-04-16”),81.917,81.92],[new Date(“2012-04-17”),81.907,81.91],[new Date(“2012-04-18”),81.922,81.92],[new Date(“2012-04-19”),81.883,81.88],[new Date(“2012-04-20”),81.775,81.77],[new Date(“2012-04-21”),81.775,81.77],[new Date(“2012-04-22”),81.775,81.77],[new Date(“2012-04-23”),81.807,81.81],[new Date(“2012-04-24”),81.912,81.91],[new Date(“2012-04-25”),81.958,81.96],[new Date(“2012-04-26”),81.934,81.93],[new Date(“2012-04-27”),81.826,81.83],[new Date(“2012-04-28”),81.826,81.83],[new Date(“2012-04-29”),81.826,81.83],[new Date(“2012-04-30″),81.978,81.98],]);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, 2012

01      81.8638
02      81.8933
↘0.030, 0.04%
03      81.8933
→0.000, 0.00%
04      81.8933
→0.000, 0.00%
05      81.6880
↗0.205, 0.25%
06      81.7058
↘0.018, 0.02%
07      81.7274
↘0.022, 0.03%
08      81.7374
↘0.010, 0.01%
09      81.8027
↘0.065, 0.08%
10      81.8027
→0.000, 0.00%
11      81.8027
→0.000, 0.00%
12      81.9926
↘0.190, 0.23%
13      81.8714
↗0.121, 0.15%
14      81.9471
↘0.076, 0.09%
15      82.0085
↘0.061, 0.07%
16      81.8624
↗0.146, 0.18%
17      81.8624
→0.000, 0.00%
18      81.8624
→0.000, 0.00%
19      81.7691
↗0.093, 0.11%
20      82.0021
↘0.233, 0.28%
21      81.7968
↗0.205, 0.25%
22      81.7529
↗0.044, 0.05%
23      81.7698
↘0.017, 0.02%
24      81.7698
→0.000, 0.00%
25      81.7698
→0.000, 0.00%
26      81.7734
↘0.004, 0.00%
27      81.7937
↘0.020, 0.02%
28      81.8837
↘0.090, 0.11%
29      81.8837
→0.000, 0.00%
30      81.8837
→0.000, 0.00%
31      81.8837
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2012-03-01”),81.864,81.86],[new Date(“2012-03-02”),81.893,81.89],[new Date(“2012-03-03”),81.893,81.89],[new Date(“2012-03-04”),81.893,81.89],[new Date(“2012-03-05”),81.688,81.69],[new Date(“2012-03-06”),81.706,81.71],[new Date(“2012-03-07”),81.727,81.73],[new Date(“2012-03-08”),81.737,81.74],[new Date(“2012-03-09”),81.803,81.80],[new Date(“2012-03-10”),81.803,81.80],[new Date(“2012-03-11”),81.803,81.80],[new Date(“2012-03-12”),81.993,81.99],[new Date(“2012-03-13”),81.871,81.87],[new Date(“2012-03-14”),81.947,81.95],[new Date(“2012-03-15”),82.008,82.01],[new Date(“2012-03-16”),81.862,81.86],[new Date(“2012-03-17”),81.862,81.86],[new Date(“2012-03-18”),81.862,81.86],[new Date(“2012-03-19”),81.769,81.77],[new Date(“2012-03-20”),82.002,82.00],[new Date(“2012-03-21”),81.797,81.80],[new Date(“2012-03-22”),81.753,81.75],[new Date(“2012-03-23”),81.770,81.77],[new Date(“2012-03-24”),81.770,81.77],[new Date(“2012-03-25”),81.770,81.77],[new Date(“2012-03-26”),81.773,81.77],[new Date(“2012-03-27”),81.794,81.79],[new Date(“2012-03-28”),81.884,81.88],[new Date(“2012-03-29”),81.884,81.88],[new Date(“2012-03-30”),81.884,81.88],[new Date(“2012-03-31″),81.884,81.88],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2012

01      84.4828
02      84.3736
↗0.109, 0.13%
03      84.3613
↗0.012, 0.01%
04      84.3613
→0.000, 0.00%
05      84.3613
→0.000, 0.00%
06      84.3421
↗0.019, 0.02%
07      84.2290
↗0.113, 0.13%
08      84.1272
↗0.102, 0.12%
09      83.8968
↗0.230, 0.27%
10      83.8863
↗0.010, 0.01%
11      83.8863
→0.000, 0.00%
12      83.8863
→0.000, 0.00%
13      83.7452
↗0.141, 0.17%
14      83.4288
↗0.316, 0.38%
15      83.2471
↗0.182, 0.22%
16      82.8313
↗0.416, 0.50%
17      82.6463
↗0.185, 0.22%
18      82.6463
→0.000, 0.00%
19      82.6463
→0.000, 0.00%
20      81.9827
↗0.664, 0.80%
21      82.2115
↘0.229, 0.28%
22      82.0709
↗0.141, 0.17%
23      81.9201
↗0.151, 0.18%
24      81.8811
↗0.039, 0.05%
25      81.8811
→0.000, 0.00%
26      81.8811
→0.000, 0.00%
27      81.7672
↗0.114, 0.14%
28      81.7294
↗0.038, 0.05%
29      81.8440
↘0.115, 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(“2012-02-01”),84.483,84.48],[new Date(“2012-02-02”),84.374,84.37],[new Date(“2012-02-03”),84.361,84.36],[new Date(“2012-02-04”),84.361,84.36],[new Date(“2012-02-05”),84.361,84.36],[new Date(“2012-02-06”),84.342,84.34],[new Date(“2012-02-07”),84.229,84.23],[new Date(“2012-02-08”),84.127,84.13],[new Date(“2012-02-09”),83.897,83.90],[new Date(“2012-02-10”),83.886,83.89],[new Date(“2012-02-11”),83.886,83.89],[new Date(“2012-02-12”),83.886,83.89],[new Date(“2012-02-13”),83.745,83.75],[new Date(“2012-02-14”),83.429,83.43],[new Date(“2012-02-15”),83.247,83.25],[new Date(“2012-02-16”),82.831,82.83],[new Date(“2012-02-17”),82.646,82.65],[new Date(“2012-02-18”),82.646,82.65],[new Date(“2012-02-19”),82.646,82.65],[new Date(“2012-02-20”),81.983,81.98],[new Date(“2012-02-21”),82.211,82.21],[new Date(“2012-02-22”),82.071,82.07],[new Date(“2012-02-23”),81.920,81.92],[new Date(“2012-02-24”),81.881,81.88],[new Date(“2012-02-25”),81.881,81.88],[new Date(“2012-02-26”),81.881,81.88],[new Date(“2012-02-27”),81.767,81.77],[new Date(“2012-02-28”),81.729,81.73],[new Date(“2012-02-29″),81.844,81.84],]);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_2’));
chart.draw(data, options);
}

January, 2012

01      81.8046
02      81.9751
↘0.170, 0.21%
03      81.9923
↘0.017, 0.02%
04      82.0152
↘0.023, 0.03%
05      82.1008
↘0.086, 0.10%
06      82.0406
↗0.060, 0.07%
07      82.0381
↗0.003, 0.00%
08      82.0381
→0.000, 0.00%
09      82.5826
↘0.544, 0.66%
10      82.7086
↘0.126, 0.15%
11      83.1259
↘0.417, 0.50%
12      83.2353
↘0.109, 0.13%
13      82.1107
↗1.125, 1.35%
14      82.1107
→0.000, 0.00%
15      82.1107
→0.000, 0.00%
16      83.6288
↘1.518, 1.85%
17      83.8382
↘0.209, 0.25%
18      83.8827
↘0.045, 0.05%
19      84.1428
↘0.260, 0.31%
20      83.7544
↗0.388, 0.46%
21      83.7544
→0.000, 0.00%
22      83.7544
→0.000, 0.00%
23      84.2952
↘0.541, 0.65%
24      84.4354
↘0.140, 0.17%
25      84.4427
↘0.007, 0.01%
26      84.4288
↗0.014, 0.02%
27      84.4444
↘0.016, 0.02%
28      84.4444
→0.000, 0.00%
29      84.4444
→0.000, 0.00%
30      84.4788
↘0.034, 0.04%
31      84.5663
↘0.087, 0.10%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2012-01-01”),81.805,81.80],[new Date(“2012-01-02”),81.975,81.98],[new Date(“2012-01-03”),81.992,81.99],[new Date(“2012-01-04”),82.015,82.02],[new Date(“2012-01-05”),82.101,82.10],[new Date(“2012-01-06”),82.041,82.04],[new Date(“2012-01-07”),82.038,82.04],[new Date(“2012-01-08”),82.038,82.04],[new Date(“2012-01-09”),82.583,82.58],[new Date(“2012-01-10”),82.709,82.71],[new Date(“2012-01-11”),83.126,83.13],[new Date(“2012-01-12”),83.235,83.24],[new Date(“2012-01-13”),82.111,82.11],[new Date(“2012-01-14”),82.111,82.11],[new Date(“2012-01-15”),82.111,82.11],[new Date(“2012-01-16”),83.629,83.63],[new Date(“2012-01-17”),83.838,83.84],[new Date(“2012-01-18”),83.883,83.88],[new Date(“2012-01-19”),84.143,84.14],[new Date(“2012-01-20”),83.754,83.75],[new Date(“2012-01-21”),83.754,83.75],[new Date(“2012-01-22”),83.754,83.75],[new Date(“2012-01-23”),84.295,84.30],[new Date(“2012-01-24”),84.435,84.44],[new Date(“2012-01-25”),84.443,84.44],[new Date(“2012-01-26”),84.429,84.43],[new Date(“2012-01-27”),84.444,84.44],[new Date(“2012-01-28”),84.444,84.44],[new Date(“2012-01-29”),84.444,84.44],[new Date(“2012-01-30”),84.479,84.48],[new Date(“2012-01-31″),84.566,84.57],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}