Bangladeshi Taka BDT 2013 Conversion Rates

  • Opening Value is 79.702213 BDT per Dollar
  • Closing Value is 77.691710 BDT per Dollar
  • Change in Value during 2013 is -2.0105 which is -2.52%
  • Best Performance is on 2013-09-08 with 77.114680 BDT per Dollar
  • Lowest Performance is on 2013-01-02 with 80.059050 BDT per Dollar
  • Average Value is 78.1028 BDT per Dollar
  • Swing Between the higest and the lowest is 2.9444 per Dollar, that is 3.69% compared to the opening value.

USD to BDT Conversion Rates – 12 months

Date 1 USD =
2013-12-31 77.6917 BDT
2013-11-30 77.6815 BDT
2013-10-31 77.5686 BDT
2013-09-30 77.4816 BDT
2013-08-31 77.7613 BDT
2013-07-31 77.7826 BDT
2013-06-30 78.1962 BDT
2013-05-31 77.8809 BDT
2013-04-30 77.7102 BDT
2013-03-31 78.0558 BDT
2013-02-28 79.0715 BDT
2013-01-31 79.4410 BDT
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(“2013-12-31”),77.692,77.69],[new Date(“2013-11-30”),77.682,77.68],[new Date(“2013-10-31”),77.569,77.57],[new Date(“2013-09-30”),77.482,77.48],[new Date(“2013-08-31”),77.761,77.76],[new Date(“2013-07-31”),77.783,77.78],[new Date(“2013-06-30”),78.196,78.20],[new Date(“2013-05-31”),77.881,77.88],[new Date(“2013-04-30”),77.710,77.71],[new Date(“2013-03-31”),78.056,78.06],[new Date(“2013-02-28”),79.071,79.07],[new Date(“2013-01-31”),79.441,79.44],]);var options = {
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‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2013

01      77.7300
02      77.6721
↗0.058, 0.07%
03      77.6571
↗0.015, 0.02%
04      77.7000
↘0.043, 0.06%
05      77.5531
↗0.147, 0.19%
06      77.6140
↘0.061, 0.08%
07      77.5560
↗0.058, 0.07%
08      77.5421
↗0.014, 0.02%
09      77.6289
↘0.087, 0.11%
10      77.6335
↘0.005, 0.01%
11      77.6361
↘0.003, 0.00%
12      77.7071
↘0.071, 0.09%
13      77.6443
↗0.063, 0.08%
14      77.6722
↘0.028, 0.04%
15      77.6195
↗0.053, 0.07%
16      77.6596
↘0.040, 0.05%
17      77.6885
↘0.029, 0.04%
18      77.7669
↘0.078, 0.10%
19      77.6886
↗0.078, 0.10%
20      77.6887
↘0.000, 0.00%
21      77.6705
↗0.018, 0.02%
22      77.6014
↗0.069, 0.09%
23      77.6476
↘0.046, 0.06%
24      77.5900
↗0.058, 0.07%
25      77.6083
↘0.018, 0.02%
26      77.5044
↗0.104, 0.13%
27      77.7036
↘0.199, 0.26%
28      77.7029
↗0.001, 0.00%
29      77.9585
↘0.256, 0.33%
30      77.6959
↗0.263, 0.34%
31      77.6917
↗0.004, 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(“2013-12-01”),77.730,77.73],[new Date(“2013-12-02”),77.672,77.67],[new Date(“2013-12-03”),77.657,77.66],[new Date(“2013-12-04”),77.700,77.70],[new Date(“2013-12-05”),77.553,77.55],[new Date(“2013-12-06”),77.614,77.61],[new Date(“2013-12-07”),77.556,77.56],[new Date(“2013-12-08”),77.542,77.54],[new Date(“2013-12-09”),77.629,77.63],[new Date(“2013-12-10”),77.634,77.63],[new Date(“2013-12-11”),77.636,77.64],[new Date(“2013-12-12”),77.707,77.71],[new Date(“2013-12-13”),77.644,77.64],[new Date(“2013-12-14”),77.672,77.67],[new Date(“2013-12-15”),77.619,77.62],[new Date(“2013-12-16”),77.660,77.66],[new Date(“2013-12-17”),77.689,77.69],[new Date(“2013-12-18”),77.767,77.77],[new Date(“2013-12-19”),77.689,77.69],[new Date(“2013-12-20”),77.689,77.69],[new Date(“2013-12-21”),77.670,77.67],[new Date(“2013-12-22”),77.601,77.60],[new Date(“2013-12-23”),77.648,77.65],[new Date(“2013-12-24”),77.590,77.59],[new Date(“2013-12-25”),77.608,77.61],[new Date(“2013-12-26”),77.504,77.50],[new Date(“2013-12-27”),77.704,77.70],[new Date(“2013-12-28”),77.703,77.70],[new Date(“2013-12-29”),77.959,77.96],[new Date(“2013-12-30”),77.696,77.70],[new Date(“2013-12-31″),77.692,77.69],]);var options = {
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
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November, 2013

01      77.6659
02      77.7295
↘0.064, 0.08%
03      77.7808
↘0.051, 0.07%
04      77.6903
↗0.091, 0.12%
05      77.7034
↘0.013, 0.02%
06      77.6837
↗0.020, 0.03%
07      77.8889
↘0.205, 0.26%
08      77.7351
↗0.154, 0.20%
09      77.7969
↘0.062, 0.08%
10      77.8684
↘0.072, 0.09%
11      77.7499
↗0.119, 0.15%
12      77.5623
↗0.188, 0.24%
13      77.5287
↗0.034, 0.04%
14      77.5808
↘0.052, 0.07%
15      77.5421
↗0.039, 0.05%
16      77.5743
↘0.032, 0.04%
17      77.4839
↗0.090, 0.12%
18      77.5941
↘0.110, 0.14%
19      77.6132
↘0.019, 0.02%
20      77.7235
↘0.110, 0.14%
21      77.6358
↗0.088, 0.11%
22      77.5787
↗0.057, 0.07%
23      77.5787
→0.000, 0.00%
24      77.4737
↗0.105, 0.14%
25      77.6805
↘0.207, 0.27%
26      77.6548
↗0.026, 0.03%
27      77.6415
↗0.013, 0.02%
28      77.6572
↘0.016, 0.02%
29      77.6903
↘0.033, 0.04%
30      77.6815
↗0.009, 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”);
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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, 2013

01      77.6986
02      77.5040
↗0.195, 0.25%
03      77.6798
↘0.176, 0.23%
04      77.6203
↗0.059, 0.08%
05      77.6425
↘0.022, 0.03%
06      77.7362
↘0.094, 0.12%
07      77.5929
↗0.143, 0.18%
08      77.6649
↘0.072, 0.09%
09      77.6557
↗0.009, 0.01%
10      77.6868
↘0.031, 0.04%
11      77.7040
↘0.017, 0.02%
12      77.7112
↘0.007, 0.01%
13      77.7585
↘0.047, 0.06%
14      77.6765
↗0.082, 0.11%
15      77.6038
↗0.073, 0.09%
16      77.7187
↘0.115, 0.15%
17      77.5499
↗0.169, 0.22%
18      77.7122
↘0.162, 0.21%
19      77.6742
↗0.038, 0.05%
20      77.7221
↘0.048, 0.06%
21      77.7156
↗0.007, 0.01%
22      77.4783
↗0.237, 0.31%
23      77.6174
↘0.139, 0.18%
24      77.6234
↘0.006, 0.01%
25      77.6736
↘0.050, 0.06%
26      77.6931
↘0.020, 0.03%
27      77.6494
↗0.044, 0.06%
28      77.4825
↗0.167, 0.21%
29      77.4094
↗0.073, 0.09%
30      77.5670
↘0.158, 0.20%
31      77.5686
↘0.002, 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(“2013-10-01”),77.699,77.70],[new Date(“2013-10-02”),77.504,77.50],[new Date(“2013-10-03”),77.680,77.68],[new Date(“2013-10-04”),77.620,77.62],[new Date(“2013-10-05”),77.642,77.64],[new Date(“2013-10-06”),77.736,77.74],[new Date(“2013-10-07”),77.593,77.59],[new Date(“2013-10-08”),77.665,77.66],[new Date(“2013-10-09”),77.656,77.66],[new Date(“2013-10-10”),77.687,77.69],[new Date(“2013-10-11”),77.704,77.70],[new Date(“2013-10-12”),77.711,77.71],[new Date(“2013-10-13”),77.759,77.76],[new Date(“2013-10-14”),77.676,77.68],[new Date(“2013-10-15”),77.604,77.60],[new Date(“2013-10-16”),77.719,77.72],[new Date(“2013-10-17”),77.550,77.55],[new Date(“2013-10-18”),77.712,77.71],[new Date(“2013-10-19”),77.674,77.67],[new Date(“2013-10-20”),77.722,77.72],[new Date(“2013-10-21”),77.716,77.72],[new Date(“2013-10-22”),77.478,77.48],[new Date(“2013-10-23”),77.617,77.62],[new Date(“2013-10-24”),77.623,77.62],[new Date(“2013-10-25”),77.674,77.67],[new Date(“2013-10-26”),77.693,77.69],[new Date(“2013-10-27”),77.649,77.65],[new Date(“2013-10-28”),77.483,77.48],[new Date(“2013-10-29”),77.409,77.41],[new Date(“2013-10-30”),77.567,77.57],[new Date(“2013-10-31″),77.569,77.57],]);var options = {
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title: ‘Date’
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
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September, 2013

01      77.8140
02      77.8096
↗0.004, 0.01%
03      77.7204
↗0.089, 0.11%
04      77.5976
↗0.123, 0.16%
05      77.9332
↘0.336, 0.43%
06      77.4633
↗0.470, 0.60%
07      77.4633
→0.000, 0.00%
08      77.1147
↗0.349, 0.45%
09      77.2476
↘0.133, 0.17%
10      77.5369
↘0.289, 0.37%
11      77.4794
↗0.057, 0.07%
12      77.6389
↘0.160, 0.21%
13      77.6330
↗0.006, 0.01%
14      77.6646
↘0.032, 0.04%
15      77.5627
↗0.102, 0.13%
16      77.7827
↘0.220, 0.28%
17      77.4732
↗0.310, 0.40%
18      77.3164
↗0.157, 0.20%
19      77.6362
↘0.320, 0.41%
20      77.6832
↘0.047, 0.06%
21      77.8290
↘0.146, 0.19%
22      77.9202
↘0.091, 0.12%
23      77.7239
↗0.196, 0.25%
24      77.8095
↘0.086, 0.11%
25      77.7353
↗0.074, 0.10%
26      77.7347
↗0.001, 0.00%
27      77.6282
↗0.107, 0.14%
28      77.6389
↘0.011, 0.01%
29      77.6285
↗0.010, 0.01%
30      77.4816
↗0.147, 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(“2013-09-01”),77.814,77.81],[new Date(“2013-09-02”),77.810,77.81],[new Date(“2013-09-03”),77.720,77.72],[new Date(“2013-09-04”),77.598,77.60],[new Date(“2013-09-05”),77.933,77.93],[new Date(“2013-09-06”),77.463,77.46],[new Date(“2013-09-07”),77.463,77.46],[new Date(“2013-09-08”),77.115,77.11],[new Date(“2013-09-09”),77.248,77.25],[new Date(“2013-09-10”),77.537,77.54],[new Date(“2013-09-11”),77.479,77.48],[new Date(“2013-09-12”),77.639,77.64],[new Date(“2013-09-13”),77.633,77.63],[new Date(“2013-09-14”),77.665,77.66],[new Date(“2013-09-15”),77.563,77.56],[new Date(“2013-09-16”),77.783,77.78],[new Date(“2013-09-17”),77.473,77.47],[new Date(“2013-09-18”),77.316,77.32],[new Date(“2013-09-19”),77.636,77.64],[new Date(“2013-09-20”),77.683,77.68],[new Date(“2013-09-21”),77.829,77.83],[new Date(“2013-09-22”),77.920,77.92],[new Date(“2013-09-23”),77.724,77.72],[new Date(“2013-09-24”),77.809,77.81],[new Date(“2013-09-25”),77.735,77.74],[new Date(“2013-09-26”),77.735,77.73],[new Date(“2013-09-27”),77.628,77.63],[new Date(“2013-09-28”),77.639,77.64],[new Date(“2013-09-29”),77.629,77.63],[new Date(“2013-09-30″),77.482,77.48],]);var options = {
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
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August, 2013

01      77.9669
02      77.7514
↗0.216, 0.28%
03      77.8011
↘0.050, 0.06%
04      77.5940
↗0.207, 0.27%
05      77.7430
↘0.149, 0.19%
06      77.7964
↘0.053, 0.07%
07      77.7077
↗0.089, 0.11%
08      77.8268
↘0.119, 0.15%
09      77.9014
↘0.075, 0.10%
10      77.9337
↘0.032, 0.04%
11      77.9971
↘0.063, 0.08%
12      77.7857
↗0.211, 0.27%
13      77.8471
↘0.061, 0.08%
14      77.7585
↗0.089, 0.11%
15      77.7285
↗0.030, 0.04%
16      77.8960
↘0.168, 0.22%
17      77.8823
↗0.014, 0.02%
18      77.9123
↘0.030, 0.04%
19      77.9512
↘0.039, 0.05%
20      77.7694
↗0.182, 0.23%
21      77.8729
↘0.103, 0.13%
22      77.4932
↗0.380, 0.49%
23      77.6053
↘0.112, 0.14%
24      77.5313
↗0.074, 0.10%
25      77.5428
↘0.011, 0.01%
26      77.5153
↗0.027, 0.04%
27      77.5918
↘0.076, 0.10%
28      77.5028
↗0.089, 0.11%
29      77.6137
↘0.111, 0.14%
30      77.6394
↘0.026, 0.03%
31      77.7613
↘0.122, 0.16%
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”),77.967,77.97],[new Date(“2013-08-02”),77.751,77.75],[new Date(“2013-08-03”),77.801,77.80],[new Date(“2013-08-04”),77.594,77.59],[new Date(“2013-08-05”),77.743,77.74],[new Date(“2013-08-06”),77.796,77.80],[new Date(“2013-08-07”),77.708,77.71],[new Date(“2013-08-08”),77.827,77.83],[new Date(“2013-08-09”),77.901,77.90],[new Date(“2013-08-10”),77.934,77.93],[new Date(“2013-08-11”),77.997,78.00],[new Date(“2013-08-12”),77.786,77.79],[new Date(“2013-08-13”),77.847,77.85],[new Date(“2013-08-14”),77.758,77.76],[new Date(“2013-08-15”),77.729,77.73],[new Date(“2013-08-16”),77.896,77.90],[new Date(“2013-08-17”),77.882,77.88],[new Date(“2013-08-18”),77.912,77.91],[new Date(“2013-08-19”),77.951,77.95],[new Date(“2013-08-20”),77.769,77.77],[new Date(“2013-08-21”),77.873,77.87],[new Date(“2013-08-22”),77.493,77.49],[new Date(“2013-08-23”),77.605,77.61],[new Date(“2013-08-24”),77.531,77.53],[new Date(“2013-08-25”),77.543,77.54],[new Date(“2013-08-26”),77.515,77.52],[new Date(“2013-08-27”),77.592,77.59],[new Date(“2013-08-28”),77.503,77.50],[new Date(“2013-08-29”),77.614,77.61],[new Date(“2013-08-30”),77.639,77.64],[new Date(“2013-08-31″),77.761,77.76],]);var options = {
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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, 2013

01      77.7161
02      78.0093
↘0.293, 0.38%
03      77.6224
↗0.387, 0.50%
04      78.0896
↘0.467, 0.60%
05      77.8256
↗0.264, 0.34%
06      77.9533
↘0.128, 0.16%
07      78.0315
↘0.078, 0.10%
08      77.7472
↗0.284, 0.36%
09      78.0755
↘0.328, 0.42%
10      77.1809
↗0.895, 1.15%
11      77.8290
↘0.648, 0.84%
12      77.7575
↗0.072, 0.09%
13      77.9110
↘0.154, 0.20%
14      77.8494
↗0.062, 0.08%
15      77.6661
↗0.183, 0.24%
16      77.7701
↘0.104, 0.13%
17      77.9483
↘0.178, 0.23%
18      77.8675
↗0.081, 0.10%
19      77.8861
↘0.019, 0.02%
20      77.8114
↗0.075, 0.10%
21      77.7462
↗0.065, 0.08%
22      77.8104
↘0.064, 0.08%
23      77.6500
↗0.160, 0.21%
24      77.9971
↘0.347, 0.45%
25      77.5217
↗0.475, 0.61%
26      77.9265
↘0.405, 0.52%
27      77.8161
↗0.110, 0.14%
28      77.8899
↘0.074, 0.09%
29      77.9356
↘0.046, 0.06%
30      77.8581
↗0.077, 0.10%
31      77.7826
↗0.075, 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(“2013-07-01”),77.716,77.72],[new Date(“2013-07-02”),78.009,78.01],[new Date(“2013-07-03”),77.622,77.62],[new Date(“2013-07-04”),78.090,78.09],[new Date(“2013-07-05”),77.826,77.83],[new Date(“2013-07-06”),77.953,77.95],[new Date(“2013-07-07”),78.031,78.03],[new Date(“2013-07-08”),77.747,77.75],[new Date(“2013-07-09”),78.076,78.08],[new Date(“2013-07-10”),77.181,77.18],[new Date(“2013-07-11”),77.829,77.83],[new Date(“2013-07-12”),77.757,77.76],[new Date(“2013-07-13”),77.911,77.91],[new Date(“2013-07-14”),77.849,77.85],[new Date(“2013-07-15”),77.666,77.67],[new Date(“2013-07-16”),77.770,77.77],[new Date(“2013-07-17”),77.948,77.95],[new Date(“2013-07-18”),77.867,77.87],[new Date(“2013-07-19”),77.886,77.89],[new Date(“2013-07-20”),77.811,77.81],[new Date(“2013-07-21”),77.746,77.75],[new Date(“2013-07-22”),77.810,77.81],[new Date(“2013-07-23”),77.650,77.65],[new Date(“2013-07-24”),77.997,78.00],[new Date(“2013-07-25”),77.522,77.52],[new Date(“2013-07-26”),77.926,77.93],[new Date(“2013-07-27”),77.816,77.82],[new Date(“2013-07-28”),77.890,77.89],[new Date(“2013-07-29”),77.936,77.94],[new Date(“2013-07-30”),77.858,77.86],[new Date(“2013-07-31″),77.783,77.78],]);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      77.8611
02      77.9435
↘0.082, 0.11%
03      77.6531
↗0.290, 0.37%
04      77.8305
↘0.177, 0.23%
05      77.6355
↗0.195, 0.25%
06      77.4004
↗0.235, 0.30%
07      77.9122
↘0.512, 0.66%
08      77.8474
↗0.065, 0.08%
09      78.1228
↘0.275, 0.35%
10      77.8994
↗0.223, 0.29%
11      77.7592
↗0.140, 0.18%
12      77.6212
↗0.138, 0.18%
13      77.6235
↘0.002, 0.00%
14      77.7873
↘0.164, 0.21%
15      77.8243
↘0.037, 0.05%
16      77.8160
↗0.008, 0.01%
17      77.8858
↘0.070, 0.09%
18      77.7950
↗0.091, 0.12%
19      78.1007
↘0.306, 0.39%
20      77.7944
↗0.306, 0.39%
21      78.1409
↘0.347, 0.45%
22      78.0599
↗0.081, 0.10%
23      78.3628
↘0.303, 0.39%
24      77.8157
↗0.547, 0.70%
25      78.1287
↘0.313, 0.40%
26      77.8529
↗0.276, 0.35%
27      77.7963
↗0.057, 0.07%
28      78.0157
↘0.219, 0.28%
29      77.9748
↗0.041, 0.05%
30      78.1962
↘0.221, 0.28%
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”),77.861,77.86],[new Date(“2013-06-02”),77.943,77.94],[new Date(“2013-06-03”),77.653,77.65],[new Date(“2013-06-04”),77.830,77.83],[new Date(“2013-06-05”),77.635,77.64],[new Date(“2013-06-06”),77.400,77.40],[new Date(“2013-06-07”),77.912,77.91],[new Date(“2013-06-08”),77.847,77.85],[new Date(“2013-06-09”),78.123,78.12],[new Date(“2013-06-10”),77.899,77.90],[new Date(“2013-06-11”),77.759,77.76],[new Date(“2013-06-12”),77.621,77.62],[new Date(“2013-06-13”),77.623,77.62],[new Date(“2013-06-14”),77.787,77.79],[new Date(“2013-06-15”),77.824,77.82],[new Date(“2013-06-16”),77.816,77.82],[new Date(“2013-06-17”),77.886,77.89],[new Date(“2013-06-18”),77.795,77.79],[new Date(“2013-06-19”),78.101,78.10],[new Date(“2013-06-20”),77.794,77.79],[new Date(“2013-06-21”),78.141,78.14],[new Date(“2013-06-22”),78.060,78.06],[new Date(“2013-06-23”),78.363,78.36],[new Date(“2013-06-24”),77.816,77.82],[new Date(“2013-06-25”),78.129,78.13],[new Date(“2013-06-26”),77.853,77.85],[new Date(“2013-06-27”),77.796,77.80],[new Date(“2013-06-28”),78.016,78.02],[new Date(“2013-06-29”),77.975,77.97],[new Date(“2013-06-30″),78.196,78.20],]);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      78.1481
02      78.2110
↘0.063, 0.08%
03      78.1760
↗0.035, 0.04%
04      78.2354
↘0.059, 0.08%
05      78.1700
↗0.065, 0.08%
06      78.0925
↗0.077, 0.10%
07      78.1147
↘0.022, 0.03%
08      77.8831
↗0.232, 0.30%
09      78.2799
↘0.397, 0.51%
10      77.9906
↗0.289, 0.37%
11      78.1162
↘0.126, 0.16%
12      78.1250
↘0.009, 0.01%
13      77.9590
↗0.166, 0.21%
14      77.9959
↘0.037, 0.05%
15      77.7738
↗0.222, 0.28%
16      77.7881
↘0.014, 0.02%
17      77.9434
↘0.155, 0.20%
18      77.9596
↘0.016, 0.02%
19      78.0924
↘0.133, 0.17%
20      77.8929
↗0.200, 0.26%
21      77.7274
↗0.166, 0.21%
22      78.0633
↘0.336, 0.43%
23      77.7372
↗0.326, 0.42%
24      78.0093
↘0.272, 0.35%
25      77.9199
↗0.089, 0.11%
26      78.0394
↘0.119, 0.15%
27      77.9155
↗0.124, 0.16%
28      78.0274
↘0.112, 0.14%
29      77.7740
↗0.253, 0.32%
30      77.6521
↗0.122, 0.16%
31      77.8809
↘0.229, 0.29%
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”),78.148,78.15],[new Date(“2013-05-02”),78.211,78.21],[new Date(“2013-05-03”),78.176,78.18],[new Date(“2013-05-04”),78.235,78.24],[new Date(“2013-05-05”),78.170,78.17],[new Date(“2013-05-06”),78.093,78.09],[new Date(“2013-05-07”),78.115,78.11],[new Date(“2013-05-08”),77.883,77.88],[new Date(“2013-05-09”),78.280,78.28],[new Date(“2013-05-10”),77.991,77.99],[new Date(“2013-05-11”),78.116,78.12],[new Date(“2013-05-12”),78.125,78.13],[new Date(“2013-05-13”),77.959,77.96],[new Date(“2013-05-14”),77.996,78.00],[new Date(“2013-05-15”),77.774,77.77],[new Date(“2013-05-16”),77.788,77.79],[new Date(“2013-05-17”),77.943,77.94],[new Date(“2013-05-18”),77.960,77.96],[new Date(“2013-05-19”),78.092,78.09],[new Date(“2013-05-20”),77.893,77.89],[new Date(“2013-05-21”),77.727,77.73],[new Date(“2013-05-22”),78.063,78.06],[new Date(“2013-05-23”),77.737,77.74],[new Date(“2013-05-24”),78.009,78.01],[new Date(“2013-05-25”),77.920,77.92],[new Date(“2013-05-26”),78.039,78.04],[new Date(“2013-05-27”),77.916,77.92],[new Date(“2013-05-28”),78.027,78.03],[new Date(“2013-05-29”),77.774,77.77],[new Date(“2013-05-30”),77.652,77.65],[new Date(“2013-05-31″),77.881,77.88],]);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_5’));
chart.draw(data, options);
}

April, 2013

01      78.0021
02      78.1309
↘0.129, 0.17%
03      78.0444
↗0.087, 0.11%
04      77.7259
↗0.318, 0.41%
05      78.0742
↘0.348, 0.45%
06      77.9834
↗0.091, 0.12%
07      77.9841
↘0.001, 0.00%
08      78.1180
↘0.134, 0.17%
09      77.9544
↗0.164, 0.21%
10      78.1780
↘0.224, 0.29%
11      78.2258
↘0.048, 0.06%
12      78.1900
↗0.036, 0.05%
13      78.2192
↘0.029, 0.04%
14      78.0551
↗0.164, 0.21%
15      78.1726
↘0.117, 0.15%
16      77.8231
↗0.349, 0.45%
17      78.3604
↘0.537, 0.69%
18      78.1155
↗0.245, 0.31%
19      78.2951
↘0.180, 0.23%
20      78.2720
↗0.023, 0.03%
21      78.3507
↘0.079, 0.10%
22      78.0422
↗0.308, 0.39%
23      77.8946
↗0.148, 0.19%
24      77.9521
↘0.057, 0.07%
25      78.2290
↘0.277, 0.36%
26      78.0550
↗0.174, 0.22%
27      78.1207
↘0.066, 0.08%
28      77.9527
↗0.168, 0.22%
29      77.9555
↘0.003, 0.00%
30      77.7102
↗0.245, 0.31%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-04-01”),78.002,78.00],[new Date(“2013-04-02”),78.131,78.13],[new Date(“2013-04-03”),78.044,78.04],[new Date(“2013-04-04”),77.726,77.73],[new Date(“2013-04-05”),78.074,78.07],[new Date(“2013-04-06”),77.983,77.98],[new Date(“2013-04-07”),77.984,77.98],[new Date(“2013-04-08”),78.118,78.12],[new Date(“2013-04-09”),77.954,77.95],[new Date(“2013-04-10”),78.178,78.18],[new Date(“2013-04-11”),78.226,78.23],[new Date(“2013-04-12”),78.190,78.19],[new Date(“2013-04-13”),78.219,78.22],[new Date(“2013-04-14”),78.055,78.06],[new Date(“2013-04-15”),78.173,78.17],[new Date(“2013-04-16”),77.823,77.82],[new Date(“2013-04-17”),78.360,78.36],[new Date(“2013-04-18”),78.116,78.12],[new Date(“2013-04-19”),78.295,78.30],[new Date(“2013-04-20”),78.272,78.27],[new Date(“2013-04-21”),78.351,78.35],[new Date(“2013-04-22”),78.042,78.04],[new Date(“2013-04-23”),77.895,77.89],[new Date(“2013-04-24”),77.952,77.95],[new Date(“2013-04-25”),78.229,78.23],[new Date(“2013-04-26”),78.055,78.05],[new Date(“2013-04-27”),78.121,78.12],[new Date(“2013-04-28”),77.953,77.95],[new Date(“2013-04-29”),77.955,77.96],[new Date(“2013-04-30″),77.710,77.71],]);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      78.8484
02      78.9238
↘0.075, 0.10%
03      78.8675
↗0.056, 0.07%
04      78.7975
↗0.070, 0.09%
05      78.8164
↘0.019, 0.02%
06      78.9958
↘0.179, 0.23%
07      78.6712
↗0.325, 0.41%
08      79.2772
↘0.606, 0.77%
09      79.1861
↗0.091, 0.11%
10      79.5907
↘0.405, 0.51%
11      78.6254
↗0.965, 1.21%
12      78.7003
↘0.075, 0.10%
13      78.8382
↘0.138, 0.18%
14      78.3855
↗0.453, 0.57%
15      78.7014
↘0.316, 0.40%
16      78.5914
↗0.110, 0.14%
17      78.8023
↘0.211, 0.27%
18      78.5651
↗0.237, 0.30%
19      78.8027
↘0.238, 0.30%
20      78.3322
↗0.471, 0.60%
21      78.5776
↘0.245, 0.31%
22      78.3123
↗0.265, 0.34%
23      78.3612
↘0.049, 0.06%
24      78.2394
↗0.122, 0.16%
25      78.7714
↘0.532, 0.68%
26      78.2813
↗0.490, 0.62%
27      78.3716
↘0.090, 0.12%
28      78.1234
↗0.248, 0.32%
29      78.0866
↗0.037, 0.05%
30      78.0641
↗0.023, 0.03%
31      78.0558
↗0.008, 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”),78.848,78.85],[new Date(“2013-03-02”),78.924,78.92],[new Date(“2013-03-03”),78.868,78.87],[new Date(“2013-03-04”),78.798,78.80],[new Date(“2013-03-05”),78.816,78.82],[new Date(“2013-03-06”),78.996,79.00],[new Date(“2013-03-07”),78.671,78.67],[new Date(“2013-03-08”),79.277,79.28],[new Date(“2013-03-09”),79.186,79.19],[new Date(“2013-03-10”),79.591,79.59],[new Date(“2013-03-11”),78.625,78.63],[new Date(“2013-03-12”),78.700,78.70],[new Date(“2013-03-13”),78.838,78.84],[new Date(“2013-03-14”),78.386,78.39],[new Date(“2013-03-15”),78.701,78.70],[new Date(“2013-03-16”),78.591,78.59],[new Date(“2013-03-17”),78.802,78.80],[new Date(“2013-03-18”),78.565,78.57],[new Date(“2013-03-19”),78.803,78.80],[new Date(“2013-03-20”),78.332,78.33],[new Date(“2013-03-21”),78.578,78.58],[new Date(“2013-03-22”),78.312,78.31],[new Date(“2013-03-23”),78.361,78.36],[new Date(“2013-03-24”),78.239,78.24],[new Date(“2013-03-25”),78.771,78.77],[new Date(“2013-03-26”),78.281,78.28],[new Date(“2013-03-27”),78.372,78.37],[new Date(“2013-03-28”),78.123,78.12],[new Date(“2013-03-29”),78.087,78.09],[new Date(“2013-03-30”),78.064,78.06],[new Date(“2013-03-31″),78.056,78.06],]);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      79.1637
02      79.1025
↗0.061, 0.08%
03      79.0354
↗0.067, 0.08%
04      78.9965
↗0.039, 0.05%
05      78.7112
↗0.285, 0.36%
06      78.6488
↗0.062, 0.08%
07      78.9067
↘0.258, 0.33%
08      78.4138
↗0.493, 0.62%
09      78.5143
↘0.100, 0.13%
10      78.5001
↗0.014, 0.02%
11      78.2159
↗0.284, 0.36%
12      78.2298
↘0.014, 0.02%
13      78.9727
↘0.743, 0.95%
14      78.9161
↗0.057, 0.07%
15      79.0204
↘0.104, 0.13%
16      78.9546
↗0.066, 0.08%
17      78.8894
↗0.065, 0.08%
18      78.9810
↘0.092, 0.12%
19      78.8088
↗0.172, 0.22%
20      79.2353
↘0.427, 0.54%
21      78.9062
↗0.329, 0.42%
22      79.0296
↘0.123, 0.16%
23      78.9252
↗0.104, 0.13%
24      78.8707
↗0.054, 0.07%
25      79.5923
↘0.722, 0.91%
26      78.9755
↗0.617, 0.77%
27      78.9700
↗0.006, 0.01%
28      79.0715
↘0.101, 0.13%
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”),79.164,79.16],[new Date(“2013-02-02”),79.102,79.10],[new Date(“2013-02-03”),79.035,79.04],[new Date(“2013-02-04”),78.996,79.00],[new Date(“2013-02-05”),78.711,78.71],[new Date(“2013-02-06”),78.649,78.65],[new Date(“2013-02-07”),78.907,78.91],[new Date(“2013-02-08”),78.414,78.41],[new Date(“2013-02-09”),78.514,78.51],[new Date(“2013-02-10”),78.500,78.50],[new Date(“2013-02-11”),78.216,78.22],[new Date(“2013-02-12”),78.230,78.23],[new Date(“2013-02-13”),78.973,78.97],[new Date(“2013-02-14”),78.916,78.92],[new Date(“2013-02-15”),79.020,79.02],[new Date(“2013-02-16”),78.955,78.95],[new Date(“2013-02-17”),78.889,78.89],[new Date(“2013-02-18”),78.981,78.98],[new Date(“2013-02-19”),78.809,78.81],[new Date(“2013-02-20”),79.235,79.24],[new Date(“2013-02-21”),78.906,78.91],[new Date(“2013-02-22”),79.030,79.03],[new Date(“2013-02-23”),78.925,78.93],[new Date(“2013-02-24”),78.871,78.87],[new Date(“2013-02-25”),79.592,79.59],[new Date(“2013-02-26”),78.976,78.98],[new Date(“2013-02-27”),78.970,78.97],[new Date(“2013-02-28″),79.071,79.07],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
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January, 2013

01      79.7022
02      80.0591
↘0.357, 0.45%
03      79.9939
↗0.065, 0.08%
04      79.8769
↗0.117, 0.15%
05      79.8695
↗0.007, 0.01%
06      79.6493
↗0.220, 0.28%
07      79.4540
↗0.195, 0.25%
08      79.9491
↘0.495, 0.62%
09      79.7753
↗0.174, 0.22%
10      79.3085
↗0.467, 0.59%
11      79.7341
↘0.426, 0.54%
12      79.5760
↗0.158, 0.20%
13      79.4766
↗0.099, 0.12%
14      79.7226
↘0.246, 0.31%
15      79.9488
↘0.226, 0.28%
16      79.9462
↗0.003, 0.00%
17      79.6440
↗0.302, 0.38%
18      79.7871
↘0.143, 0.18%
19      79.7123
↗0.075, 0.09%
20      79.8484
↘0.136, 0.17%
21      79.6361
↗0.212, 0.27%
22      79.7702
↘0.134, 0.17%
23      79.5563
↗0.214, 0.27%
24      79.4315
↗0.125, 0.16%
25      79.4980
↘0.067, 0.08%
26      79.4808
↗0.017, 0.02%
27      79.4507
↗0.030, 0.04%
28      79.5215
↘0.071, 0.09%
29      79.3659
↗0.156, 0.20%
30      79.4880
↘0.122, 0.15%
31      79.4410
↗0.047, 0.06%
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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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
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