Bangladeshi Taka BDT 2019 Conversion Rates

  • Opening Value is 83.706028 BDT per Dollar
  • Closing Value is 84.876450 BDT per Dollar
  • Change in Value during 2019 is 1.1704 which is 1.40%
  • Best Performance is on 2019-08-25 with 83.015983 BDT per Dollar
  • Lowest Performance is on 2019-12-17 with 84.963860 BDT per Dollar
  • Average Value is 84.3861 BDT per Dollar
  • Swing Between the higest and the lowest is 1.9479 per Dollar, that is 2.33% compared to the opening value.

USD to BDT Conversion Rates – 12 months

Date 1 USD =
2019-12-31 84.8765 BDT
2019-11-30 84.7270 BDT
2019-10-31 84.6598 BDT
2019-09-30 84.6675 BDT
2019-08-31 84.4904 BDT
2019-07-31 84.4560 BDT
2019-06-30 84.5702 BDT
2019-05-31 84.4380 BDT
2019-04-30 84.4498 BDT
2019-03-31 84.0580 BDT
2019-02-28 83.8640 BDT
2019-01-31 84.2330 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(“2019-12-31”),84.876,84.88],[new Date(“2019-11-30”),84.727,84.73],[new Date(“2019-10-31”),84.660,84.66],[new Date(“2019-09-30”),84.667,84.67],[new Date(“2019-08-31”),84.490,84.49],[new Date(“2019-07-31”),84.456,84.46],[new Date(“2019-06-30”),84.570,84.57],[new Date(“2019-05-31”),84.438,84.44],[new Date(“2019-04-30”),84.450,84.45],[new Date(“2019-03-31”),84.058,84.06],[new Date(“2019-02-28”),83.864,83.86],[new Date(“2019-01-31”),84.233,84.23],]);var options = {
hAxis: {
title: ‘Date’
},
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title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2019

01      84.7270
02      84.9162
↘0.189, 0.22%
03      84.8985
↗0.018, 0.02%
04      84.8574
↗0.041, 0.05%
05      84.8651
↘0.008, 0.01%
06      84.8015
↗0.064, 0.07%
07      84.8015
→0.000, 0.00%
08      84.8015
→0.000, 0.00%
09      84.8920
↘0.090, 0.11%
10      84.9168
↘0.025, 0.03%
11      84.9165
↗0.000, 0.00%
12      84.8912
↗0.025, 0.03%
13      84.9284
↘0.037, 0.04%
14      84.9284
→0.000, 0.00%
15      84.9284
→0.000, 0.00%
16      84.8885
↗0.040, 0.05%
17      84.9639
↘0.075, 0.09%
18      84.8984
↗0.065, 0.08%
19      84.8576
↗0.041, 0.05%
20      84.8710
↘0.013, 0.02%
21      84.8710
→0.000, 0.00%
22      84.8710
→0.000, 0.00%
23      84.8996
↘0.029, 0.03%
24      84.8939
↗0.006, 0.01%
25      84.8085
↗0.085, 0.10%
26      84.7752
↗0.033, 0.04%
27      84.9262
↘0.151, 0.18%
28      84.9262
→0.000, 0.00%
29      84.9262
↗0.000, 0.00%
30      84.9019
↗0.024, 0.03%
31      84.8765
↗0.025, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-12-01”),84.727,84.73],[new Date(“2019-12-02”),84.916,84.92],[new Date(“2019-12-03”),84.898,84.90],[new Date(“2019-12-04”),84.857,84.86],[new Date(“2019-12-05”),84.865,84.87],[new Date(“2019-12-06”),84.802,84.80],[new Date(“2019-12-07”),84.802,84.80],[new Date(“2019-12-08”),84.802,84.80],[new Date(“2019-12-09”),84.892,84.89],[new Date(“2019-12-10”),84.917,84.92],[new Date(“2019-12-11”),84.916,84.92],[new Date(“2019-12-12”),84.891,84.89],[new Date(“2019-12-13”),84.928,84.93],[new Date(“2019-12-14”),84.928,84.93],[new Date(“2019-12-15”),84.928,84.93],[new Date(“2019-12-16”),84.889,84.89],[new Date(“2019-12-17”),84.964,84.96],[new Date(“2019-12-18”),84.898,84.90],[new Date(“2019-12-19”),84.858,84.86],[new Date(“2019-12-20”),84.871,84.87],[new Date(“2019-12-21”),84.871,84.87],[new Date(“2019-12-22”),84.871,84.87],[new Date(“2019-12-23”),84.900,84.90],[new Date(“2019-12-24”),84.894,84.89],[new Date(“2019-12-25”),84.808,84.81],[new Date(“2019-12-26”),84.775,84.78],[new Date(“2019-12-27”),84.926,84.93],[new Date(“2019-12-28”),84.926,84.93],[new Date(“2019-12-29”),84.926,84.93],[new Date(“2019-12-30”),84.902,84.90],[new Date(“2019-12-31″),84.876,84.88],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2019

01      84.7748
02      84.7748
→0.000, 0.00%
03      84.7748
→0.000, 0.00%
04      84.7336
↗0.041, 0.05%
05      84.7526
↘0.019, 0.02%
06      84.7450
↗0.008, 0.01%
07      84.7649
↘0.020, 0.02%
08      84.7128
↗0.052, 0.06%
09      84.7128
→0.000, 0.00%
10      84.7128
→0.000, 0.00%
11      84.6621
↗0.051, 0.06%
12      84.7642
↘0.102, 0.12%
13      84.7650
↘0.001, 0.00%
14      84.7369
↗0.028, 0.03%
15      84.8439
↘0.107, 0.13%
16      84.6819
↗0.162, 0.19%
17      84.6819
→0.000, 0.00%
18      84.7996
↘0.118, 0.14%
19      84.7831
↗0.016, 0.02%
20      84.7884
↘0.005, 0.01%
21      84.8080
↘0.020, 0.02%
22      84.8400
↘0.032, 0.04%
23      84.8400
→0.000, 0.00%
24      84.8400
→0.000, 0.00%
25      84.7911
↗0.049, 0.06%
26      84.7931
↘0.002, 0.00%
27      84.9132
↘0.120, 0.14%
28      84.8997
↗0.013, 0.02%
29      84.8734
↗0.026, 0.03%
30      84.7270
↗0.146, 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(“2019-11-01”),84.775,84.77],[new Date(“2019-11-02”),84.775,84.77],[new Date(“2019-11-03”),84.775,84.77],[new Date(“2019-11-04”),84.734,84.73],[new Date(“2019-11-05”),84.753,84.75],[new Date(“2019-11-06”),84.745,84.75],[new Date(“2019-11-07”),84.765,84.76],[new Date(“2019-11-08”),84.713,84.71],[new Date(“2019-11-09”),84.713,84.71],[new Date(“2019-11-10”),84.713,84.71],[new Date(“2019-11-11”),84.662,84.66],[new Date(“2019-11-12”),84.764,84.76],[new Date(“2019-11-13”),84.765,84.77],[new Date(“2019-11-14”),84.737,84.74],[new Date(“2019-11-15”),84.844,84.84],[new Date(“2019-11-16”),84.682,84.68],[new Date(“2019-11-17”),84.682,84.68],[new Date(“2019-11-18”),84.800,84.80],[new Date(“2019-11-19”),84.783,84.78],[new Date(“2019-11-20”),84.788,84.79],[new Date(“2019-11-21”),84.808,84.81],[new Date(“2019-11-22”),84.840,84.84],[new Date(“2019-11-23”),84.840,84.84],[new Date(“2019-11-24”),84.840,84.84],[new Date(“2019-11-25”),84.791,84.79],[new Date(“2019-11-26”),84.793,84.79],[new Date(“2019-11-27”),84.913,84.91],[new Date(“2019-11-28”),84.900,84.90],[new Date(“2019-11-29”),84.873,84.87],[new Date(“2019-11-30″),84.727,84.73],]);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_11’));
chart.draw(data, options);
}

October, 2019

01      84.2410
02      84.1880
↗0.053, 0.06%
03      84.5775
↘0.389, 0.46%
04      84.5995
↘0.022, 0.03%
05      84.6295
↘0.030, 0.04%
06      84.6295
↗0.000, 0.00%
07      84.6085
↗0.021, 0.02%
08      84.5280
↗0.081, 0.10%
09      84.6995
↘0.172, 0.20%
10      84.6935
↗0.006, 0.01%
11      84.7075
↘0.014, 0.02%
12      84.7075
→0.000, 0.00%
13      84.7416
↘0.034, 0.04%
14      84.7199
↗0.022, 0.03%
15      84.7223
↘0.002, 0.00%
16      84.6793
↗0.043, 0.05%
17      84.6307
↗0.049, 0.06%
18      84.7676
↘0.137, 0.16%
19      84.7676
→0.000, 0.00%
20      84.7676
→0.000, 0.00%
21      84.6901
↗0.078, 0.09%
22      84.7022
↘0.012, 0.01%
23      84.6817
↗0.020, 0.02%
24      84.6988
↘0.017, 0.02%
25      84.7172
↘0.018, 0.02%
26      84.7172
→0.000, 0.00%
27      84.7172
→0.000, 0.00%
28      84.6663
↗0.051, 0.06%
29      84.6409
↗0.025, 0.03%
30      84.6707
↘0.030, 0.04%
31      84.6598
↗0.011, 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(“2019-10-01”),84.241,84.24],[new Date(“2019-10-02”),84.188,84.19],[new Date(“2019-10-03”),84.577,84.58],[new Date(“2019-10-04”),84.600,84.60],[new Date(“2019-10-05”),84.630,84.63],[new Date(“2019-10-06”),84.630,84.63],[new Date(“2019-10-07”),84.609,84.61],[new Date(“2019-10-08”),84.528,84.53],[new Date(“2019-10-09”),84.700,84.70],[new Date(“2019-10-10”),84.693,84.69],[new Date(“2019-10-11”),84.708,84.71],[new Date(“2019-10-12”),84.708,84.71],[new Date(“2019-10-13”),84.742,84.74],[new Date(“2019-10-14”),84.720,84.72],[new Date(“2019-10-15”),84.722,84.72],[new Date(“2019-10-16”),84.679,84.68],[new Date(“2019-10-17”),84.631,84.63],[new Date(“2019-10-18”),84.768,84.77],[new Date(“2019-10-19”),84.768,84.77],[new Date(“2019-10-20”),84.768,84.77],[new Date(“2019-10-21”),84.690,84.69],[new Date(“2019-10-22”),84.702,84.70],[new Date(“2019-10-23”),84.682,84.68],[new Date(“2019-10-24”),84.699,84.70],[new Date(“2019-10-25”),84.717,84.72],[new Date(“2019-10-26”),84.717,84.72],[new Date(“2019-10-27”),84.717,84.72],[new Date(“2019-10-28”),84.666,84.67],[new Date(“2019-10-29”),84.641,84.64],[new Date(“2019-10-30”),84.671,84.67],[new Date(“2019-10-31″),84.660,84.66],]);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_10’));
chart.draw(data, options);
}

September, 2019

01      84.4902
02      84.6750
↘0.185, 0.22%
03      84.4960
↗0.179, 0.21%
04      84.4920
↗0.004, 0.00%
05      84.4304
↗0.062, 0.07%
06      84.5604
↘0.130, 0.15%
07      83.7345
↗0.826, 0.98%
08      83.7345
↗0.000, 0.00%
09      84.3355
↘0.601, 0.72%
10      84.3380
↘0.003, 0.00%
11      84.4760
↘0.138, 0.16%
12      84.4950
↘0.019, 0.02%
13      84.4960
↘0.001, 0.00%
14      84.4960
→0.000, 0.00%
15      84.4960
↗0.000, 0.00%
16      84.5250
↘0.029, 0.03%
17      84.5810
↘0.056, 0.07%
18      84.4920
↗0.089, 0.11%
19      84.5090
↘0.017, 0.02%
20      84.5204
↘0.011, 0.01%
21      84.5204
→0.000, 0.00%
22      84.5197
↗0.001, 0.00%
23      84.5281
↘0.008, 0.01%
24      84.4830
↗0.045, 0.05%
25      84.5160
↘0.033, 0.04%
26      84.4703
↗0.046, 0.05%
27      84.5504
↘0.080, 0.09%
28      84.5350
↗0.015, 0.02%
29      84.5350
↗0.000, 0.00%
30      84.6675
↘0.132, 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(“2019-09-01”),84.490,84.49],[new Date(“2019-09-02”),84.675,84.68],[new Date(“2019-09-03”),84.496,84.50],[new Date(“2019-09-04”),84.492,84.49],[new Date(“2019-09-05”),84.430,84.43],[new Date(“2019-09-06”),84.560,84.56],[new Date(“2019-09-07”),83.735,83.73],[new Date(“2019-09-08”),83.734,83.73],[new Date(“2019-09-09”),84.336,84.34],[new Date(“2019-09-10”),84.338,84.34],[new Date(“2019-09-11”),84.476,84.48],[new Date(“2019-09-12”),84.495,84.50],[new Date(“2019-09-13”),84.496,84.50],[new Date(“2019-09-14”),84.496,84.50],[new Date(“2019-09-15”),84.496,84.50],[new Date(“2019-09-16”),84.525,84.52],[new Date(“2019-09-17”),84.581,84.58],[new Date(“2019-09-18”),84.492,84.49],[new Date(“2019-09-19”),84.509,84.51],[new Date(“2019-09-20”),84.520,84.52],[new Date(“2019-09-21”),84.520,84.52],[new Date(“2019-09-22”),84.520,84.52],[new Date(“2019-09-23”),84.528,84.53],[new Date(“2019-09-24”),84.483,84.48],[new Date(“2019-09-25”),84.516,84.52],[new Date(“2019-09-26”),84.470,84.47],[new Date(“2019-09-27”),84.550,84.55],[new Date(“2019-09-28”),84.535,84.54],[new Date(“2019-09-29”),84.535,84.54],[new Date(“2019-09-30″),84.667,84.67],]);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_9’));
chart.draw(data, options);
}

August, 2019

01      84.5120
02      84.4904
↗0.022, 0.03%
03      84.4904
→0.000, 0.00%
04      84.4897
↗0.001, 0.00%
05      84.4730
↗0.017, 0.02%
06      84.4850
↘0.012, 0.01%
07      84.4820
↗0.003, 0.00%
08      84.5080
↘0.026, 0.03%
09      84.4450
↗0.063, 0.07%
10      84.4450
→0.000, 0.00%
11      84.4450
↗0.000, 0.00%
12      84.4730
↘0.028, 0.03%
13      84.6020
↘0.129, 0.15%
14      84.4840
↗0.118, 0.14%
15      84.4640
↗0.020, 0.02%
16      84.5440
↘0.080, 0.09%
17      84.5440
→0.000, 0.00%
18      84.5440
↗0.000, 0.00%
19      84.4696
↗0.074, 0.09%
20      84.5020
↘0.032, 0.04%
21      84.4840
↗0.018, 0.02%
22      84.5497
↘0.066, 0.08%
23      84.4160
↗0.134, 0.16%
24      83.0160
↗1.400, 1.66%
25      83.0160
↗0.000, 0.00%
26      83.7455
↘0.730, 0.88%
27      84.4940
↘0.748, 0.89%
28      84.5120
↘0.018, 0.02%
29      84.5120
↘0.000, 0.00%
30      84.4904
↗0.022, 0.03%
31      84.4904
→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(“2019-08-01”),84.512,84.51],[new Date(“2019-08-02”),84.490,84.49],[new Date(“2019-08-03”),84.490,84.49],[new Date(“2019-08-04”),84.490,84.49],[new Date(“2019-08-05”),84.473,84.47],[new Date(“2019-08-06”),84.485,84.49],[new Date(“2019-08-07”),84.482,84.48],[new Date(“2019-08-08”),84.508,84.51],[new Date(“2019-08-09”),84.445,84.45],[new Date(“2019-08-10”),84.445,84.45],[new Date(“2019-08-11”),84.445,84.45],[new Date(“2019-08-12”),84.473,84.47],[new Date(“2019-08-13”),84.602,84.60],[new Date(“2019-08-14”),84.484,84.48],[new Date(“2019-08-15”),84.464,84.46],[new Date(“2019-08-16”),84.544,84.54],[new Date(“2019-08-17”),84.544,84.54],[new Date(“2019-08-18”),84.544,84.54],[new Date(“2019-08-19”),84.470,84.47],[new Date(“2019-08-20”),84.502,84.50],[new Date(“2019-08-21”),84.484,84.48],[new Date(“2019-08-22”),84.550,84.55],[new Date(“2019-08-23”),84.416,84.42],[new Date(“2019-08-24”),83.016,83.02],[new Date(“2019-08-25”),83.016,83.02],[new Date(“2019-08-26”),83.746,83.75],[new Date(“2019-08-27”),84.494,84.49],[new Date(“2019-08-28”),84.512,84.51],[new Date(“2019-08-29”),84.512,84.51],[new Date(“2019-08-30”),84.490,84.49],[new Date(“2019-08-31″),84.490,84.49],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2019

01      84.8440
02      84.5595
↗0.284, 0.34%
03      84.4910
↗0.069, 0.08%
04      84.5023
↘0.011, 0.01%
05      84.4960
↗0.006, 0.01%
06      84.4960
→0.000, 0.00%
07      84.4960
↗0.000, 0.00%
08      84.4960
↗0.000, 0.00%
09      84.4960
↘0.000, 0.00%
10      84.4960
↗0.000, 0.00%
11      84.4960
↘0.000, 0.00%
12      84.4960
↘0.000, 0.00%
13      84.4960
→0.000, 0.00%
14      84.4960
↗0.000, 0.00%
15      84.4520
↗0.044, 0.05%
16      84.4770
↘0.025, 0.03%
17      84.5202
↘0.043, 0.05%
18      84.5001
↗0.020, 0.02%
19      84.5040
↘0.004, 0.00%
20      84.5115
↘0.008, 0.01%
21      84.5115
↗0.000, 0.00%
22      84.5130
↘0.001, 0.00%
23      84.5020
↗0.011, 0.01%
24      84.5140
↘0.012, 0.01%
25      84.4940
↗0.020, 0.02%
26      84.4460
↗0.048, 0.06%
27      84.4460
→0.000, 0.00%
28      84.4460
↗0.000, 0.00%
29      84.5050
↘0.059, 0.07%
30      84.4640
↗0.041, 0.05%
31      84.4560
↗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(“2019-07-01”),84.844,84.84],[new Date(“2019-07-02”),84.560,84.56],[new Date(“2019-07-03”),84.491,84.49],[new Date(“2019-07-04”),84.502,84.50],[new Date(“2019-07-05”),84.496,84.50],[new Date(“2019-07-06”),84.496,84.50],[new Date(“2019-07-07”),84.496,84.50],[new Date(“2019-07-08”),84.496,84.50],[new Date(“2019-07-09”),84.496,84.50],[new Date(“2019-07-10”),84.496,84.50],[new Date(“2019-07-11”),84.496,84.50],[new Date(“2019-07-12”),84.496,84.50],[new Date(“2019-07-13”),84.496,84.50],[new Date(“2019-07-14”),84.496,84.50],[new Date(“2019-07-15”),84.452,84.45],[new Date(“2019-07-16”),84.477,84.48],[new Date(“2019-07-17”),84.520,84.52],[new Date(“2019-07-18”),84.500,84.50],[new Date(“2019-07-19”),84.504,84.50],[new Date(“2019-07-20”),84.512,84.51],[new Date(“2019-07-21”),84.512,84.51],[new Date(“2019-07-22”),84.513,84.51],[new Date(“2019-07-23”),84.502,84.50],[new Date(“2019-07-24”),84.514,84.51],[new Date(“2019-07-25”),84.494,84.49],[new Date(“2019-07-26”),84.446,84.45],[new Date(“2019-07-27”),84.446,84.45],[new Date(“2019-07-28”),84.446,84.45],[new Date(“2019-07-29”),84.505,84.51],[new Date(“2019-07-30”),84.464,84.46],[new Date(“2019-07-31″),84.456,84.46],]);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, 2019

01      84.4380
02      84.0165
↗0.422, 0.50%
03      84.0970
↘0.080, 0.10%
04      84.5980
↘0.501, 0.60%
05      84.7398
↘0.142, 0.17%
06      84.6340
↗0.106, 0.12%
07      84.5280
↗0.106, 0.13%
08      84.5280
→0.000, 0.00%
09      84.5280
↗0.000, 0.00%
10      84.3120
↗0.216, 0.26%
11      84.4610
↘0.149, 0.18%
12      84.4960
↘0.035, 0.04%
13      84.5820
↘0.086, 0.10%
14      84.6010
↘0.019, 0.02%
15      84.7370
↘0.136, 0.16%
16      84.7370
↗0.000, 0.00%
17      84.7520
↘0.015, 0.02%
18      84.5510
↗0.201, 0.24%
19      84.5040
↗0.047, 0.06%
20      84.4850
↗0.019, 0.02%
21      84.2790
↗0.206, 0.24%
22      84.2790
→0.000, 0.00%
23      84.2790
↗0.000, 0.00%
24      84.4620
↘0.183, 0.22%
25      84.5340
↘0.072, 0.09%
26      84.5020
↗0.032, 0.04%
27      84.5220
↘0.020, 0.02%
28      84.5704
↘0.048, 0.06%
29      84.5704
→0.000, 0.00%
30      84.5702
↗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(“2019-06-01”),84.438,84.44],[new Date(“2019-06-02”),84.017,84.02],[new Date(“2019-06-03”),84.097,84.10],[new Date(“2019-06-04”),84.598,84.60],[new Date(“2019-06-05”),84.740,84.74],[new Date(“2019-06-06”),84.634,84.63],[new Date(“2019-06-07”),84.528,84.53],[new Date(“2019-06-08”),84.528,84.53],[new Date(“2019-06-09”),84.528,84.53],[new Date(“2019-06-10”),84.312,84.31],[new Date(“2019-06-11”),84.461,84.46],[new Date(“2019-06-12”),84.496,84.50],[new Date(“2019-06-13”),84.582,84.58],[new Date(“2019-06-14”),84.601,84.60],[new Date(“2019-06-15”),84.737,84.74],[new Date(“2019-06-16”),84.737,84.74],[new Date(“2019-06-17”),84.752,84.75],[new Date(“2019-06-18”),84.551,84.55],[new Date(“2019-06-19”),84.504,84.50],[new Date(“2019-06-20”),84.485,84.48],[new Date(“2019-06-21”),84.279,84.28],[new Date(“2019-06-22”),84.279,84.28],[new Date(“2019-06-23”),84.279,84.28],[new Date(“2019-06-24”),84.462,84.46],[new Date(“2019-06-25”),84.534,84.53],[new Date(“2019-06-26”),84.502,84.50],[new Date(“2019-06-27”),84.522,84.52],[new Date(“2019-06-28”),84.570,84.57],[new Date(“2019-06-29”),84.570,84.57],[new Date(“2019-06-30″),84.570,84.57],]);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_6’));
chart.draw(data, options);
}

May, 2019

01      84.4205
02      84.4120
↗0.008, 0.01%
03      84.3804
↗0.032, 0.04%
04      84.3804
→0.000, 0.00%
05      84.3801
↗0.000, 0.00%
06      84.2901
↗0.090, 0.11%
07      84.4570
↘0.167, 0.20%
08      84.4960
↘0.039, 0.05%
09      84.5120
↘0.016, 0.02%
10      84.3620
↗0.150, 0.18%
11      84.3620
→0.000, 0.00%
12      84.3620
↗0.000, 0.00%
13      84.4281
↘0.066, 0.08%
14      84.4604
↘0.032, 0.04%
15      84.5060
↘0.046, 0.05%
16      84.4840
↗0.022, 0.03%
17      84.2480
↗0.236, 0.28%
18      84.2480
→0.000, 0.00%
19      84.2480
↗0.000, 0.00%
20      84.3811
↘0.133, 0.16%
21      84.4980
↘0.117, 0.14%
22      84.6155
↘0.117, 0.14%
23      84.5820
↗0.034, 0.04%
24      84.2460
↗0.336, 0.40%
25      84.0995
↗0.147, 0.17%
26      84.0995
↗0.000, 0.00%
27      84.1300
↘0.031, 0.04%
28      84.6795
↘0.549, 0.65%
29      84.6250
↗0.054, 0.06%
30      84.4804
↗0.145, 0.17%
31      84.4380
↗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(“2019-05-01”),84.420,84.42],[new Date(“2019-05-02”),84.412,84.41],[new Date(“2019-05-03”),84.380,84.38],[new Date(“2019-05-04”),84.380,84.38],[new Date(“2019-05-05”),84.380,84.38],[new Date(“2019-05-06”),84.290,84.29],[new Date(“2019-05-07”),84.457,84.46],[new Date(“2019-05-08”),84.496,84.50],[new Date(“2019-05-09”),84.512,84.51],[new Date(“2019-05-10”),84.362,84.36],[new Date(“2019-05-11”),84.362,84.36],[new Date(“2019-05-12”),84.362,84.36],[new Date(“2019-05-13”),84.428,84.43],[new Date(“2019-05-14”),84.460,84.46],[new Date(“2019-05-15”),84.506,84.51],[new Date(“2019-05-16”),84.484,84.48],[new Date(“2019-05-17”),84.248,84.25],[new Date(“2019-05-18”),84.248,84.25],[new Date(“2019-05-19”),84.248,84.25],[new Date(“2019-05-20”),84.381,84.38],[new Date(“2019-05-21”),84.498,84.50],[new Date(“2019-05-22”),84.615,84.62],[new Date(“2019-05-23”),84.582,84.58],[new Date(“2019-05-24”),84.246,84.25],[new Date(“2019-05-25”),84.100,84.10],[new Date(“2019-05-26”),84.100,84.10],[new Date(“2019-05-27”),84.130,84.13],[new Date(“2019-05-28”),84.679,84.68],[new Date(“2019-05-29”),84.625,84.63],[new Date(“2019-05-30”),84.480,84.48],[new Date(“2019-05-31″),84.438,84.44],]);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, 2019

01      84.1790
02      84.2360
↘0.057, 0.07%
03      84.2440
↘0.008, 0.01%
04      84.2920
↘0.048, 0.06%
05      84.4604
↘0.168, 0.20%
06      84.4604
→0.000, 0.00%
07      84.4598
↗0.001, 0.00%
08      84.1730
↗0.287, 0.34%
09      84.3351
↘0.162, 0.19%
10      84.3480
↘0.013, 0.02%
11      84.5345
↘0.186, 0.22%
12      84.5340
↗0.000, 0.00%
13      84.0480
↗0.486, 0.57%
14      84.0480
↗0.000, 0.00%
15      84.2820
↘0.234, 0.28%
16      84.3580
↘0.076, 0.09%
17      84.3680
↘0.010, 0.01%
18      84.3420
↗0.026, 0.03%
19      84.4860
↘0.144, 0.17%
20      84.4860
→0.000, 0.00%
21      84.4860
↗0.000, 0.00%
22      84.4185
↗0.067, 0.08%
23      84.3620
↗0.057, 0.07%
24      84.3820
↘0.020, 0.02%
25      84.3698
↗0.012, 0.01%
26      84.0540
↗0.316, 0.37%
27      83.8345
↗0.220, 0.26%
28      83.8345
↗0.000, 0.00%
29      83.8620
↘0.027, 0.03%
30      84.4498
↘0.588, 0.70%
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(“2019-04-01”),84.179,84.18],[new Date(“2019-04-02”),84.236,84.24],[new Date(“2019-04-03”),84.244,84.24],[new Date(“2019-04-04”),84.292,84.29],[new Date(“2019-04-05”),84.460,84.46],[new Date(“2019-04-06”),84.460,84.46],[new Date(“2019-04-07”),84.460,84.46],[new Date(“2019-04-08”),84.173,84.17],[new Date(“2019-04-09”),84.335,84.34],[new Date(“2019-04-10”),84.348,84.35],[new Date(“2019-04-11”),84.535,84.53],[new Date(“2019-04-12”),84.534,84.53],[new Date(“2019-04-13”),84.048,84.05],[new Date(“2019-04-14”),84.048,84.05],[new Date(“2019-04-15”),84.282,84.28],[new Date(“2019-04-16”),84.358,84.36],[new Date(“2019-04-17”),84.368,84.37],[new Date(“2019-04-18”),84.342,84.34],[new Date(“2019-04-19”),84.486,84.49],[new Date(“2019-04-20”),84.486,84.49],[new Date(“2019-04-21”),84.486,84.49],[new Date(“2019-04-22”),84.418,84.42],[new Date(“2019-04-23”),84.362,84.36],[new Date(“2019-04-24”),84.382,84.38],[new Date(“2019-04-25”),84.370,84.37],[new Date(“2019-04-26”),84.054,84.05],[new Date(“2019-04-27”),83.835,83.83],[new Date(“2019-04-28”),83.835,83.83],[new Date(“2019-04-29”),83.862,83.86],[new Date(“2019-04-30″),84.450,84.45],]);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, 2019

01      83.8650
02      83.8650
→0.000, 0.00%
03      83.8650
↗0.000, 0.00%
04      84.1018
↘0.237, 0.28%
05      84.1460
↘0.044, 0.05%
06      84.1150
↗0.031, 0.04%
07      84.0890
↗0.026, 0.03%
08      83.8460
↗0.243, 0.29%
09      83.8460
→0.000, 0.00%
10      83.6695
↗0.177, 0.21%
11      83.8280
↘0.158, 0.19%
12      83.9580
↘0.130, 0.16%
13      83.9800
↘0.022, 0.03%
14      83.9940
↘0.014, 0.02%
15      83.9590
↗0.035, 0.04%
16      83.9590
→0.000, 0.00%
17      83.9590
↗0.000, 0.00%
18      84.4015
↘0.443, 0.53%
19      84.3640
↗0.038, 0.04%
20      84.3380
↗0.026, 0.03%
21      84.2320
↗0.106, 0.13%
22      83.9170
↗0.315, 0.37%
23      83.7540
↗0.163, 0.19%
24      83.7540
↗0.000, 0.00%
25      84.1610
↘0.407, 0.49%
26      83.9380
↗0.223, 0.26%
27      84.2191
↘0.281, 0.33%
28      84.2502
↘0.031, 0.04%
29      84.0580
↗0.192, 0.23%
30      84.0580
→0.000, 0.00%
31      84.0580
↗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(“2019-03-01”),83.865,83.87],[new Date(“2019-03-02”),83.865,83.87],[new Date(“2019-03-03”),83.865,83.86],[new Date(“2019-03-04”),84.102,84.10],[new Date(“2019-03-05”),84.146,84.15],[new Date(“2019-03-06”),84.115,84.12],[new Date(“2019-03-07”),84.089,84.09],[new Date(“2019-03-08”),83.846,83.85],[new Date(“2019-03-09”),83.846,83.85],[new Date(“2019-03-10”),83.669,83.67],[new Date(“2019-03-11”),83.828,83.83],[new Date(“2019-03-12”),83.958,83.96],[new Date(“2019-03-13”),83.980,83.98],[new Date(“2019-03-14”),83.994,83.99],[new Date(“2019-03-15”),83.959,83.96],[new Date(“2019-03-16”),83.959,83.96],[new Date(“2019-03-17”),83.959,83.96],[new Date(“2019-03-18”),84.402,84.40],[new Date(“2019-03-19”),84.364,84.36],[new Date(“2019-03-20”),84.338,84.34],[new Date(“2019-03-21”),84.232,84.23],[new Date(“2019-03-22”),83.917,83.92],[new Date(“2019-03-23”),83.754,83.75],[new Date(“2019-03-24”),83.754,83.75],[new Date(“2019-03-25”),84.161,84.16],[new Date(“2019-03-26”),83.938,83.94],[new Date(“2019-03-27”),84.219,84.22],[new Date(“2019-03-28”),84.250,84.25],[new Date(“2019-03-29”),84.058,84.06],[new Date(“2019-03-30”),84.058,84.06],[new Date(“2019-03-31″),84.058,84.06],]);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, 2019

01      83.7080
02      83.7080
→0.000, 0.00%
03      83.7080
↗0.000, 0.00%
04      83.9220
↘0.214, 0.26%
05      84.0595
↘0.138, 0.16%
06      83.9180
↗0.141, 0.17%
07      83.9040
↗0.014, 0.02%
08      83.8380
↗0.066, 0.08%
09      83.8680
↘0.030, 0.04%
10      83.8680
↗0.000, 0.00%
11      83.9050
↘0.037, 0.04%
12      83.9680
↘0.063, 0.08%
13      83.9460
↗0.022, 0.03%
14      84.0201
↘0.074, 0.09%
15      84.0320
↘0.012, 0.01%
16      84.0320
→0.000, 0.00%
17      84.0320
↗0.000, 0.00%
18      84.0320
↘0.000, 0.00%
19      84.0320
↗0.000, 0.00%
20      84.0320
↘0.000, 0.00%
21      84.0320
↗0.000, 0.00%
22      84.0320
↘0.000, 0.00%
23      83.9830
↗0.049, 0.06%
24      83.9830
↗0.000, 0.00%
25      84.1460
↘0.163, 0.19%
26      84.1430
↗0.003, 0.00%
27      84.1670
↘0.024, 0.03%
28      83.8640
↗0.303, 0.36%
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(“2019-02-01”),83.708,83.71],[new Date(“2019-02-02”),83.708,83.71],[new Date(“2019-02-03”),83.708,83.71],[new Date(“2019-02-04”),83.922,83.92],[new Date(“2019-02-05”),84.060,84.06],[new Date(“2019-02-06”),83.918,83.92],[new Date(“2019-02-07”),83.904,83.90],[new Date(“2019-02-08”),83.838,83.84],[new Date(“2019-02-09”),83.868,83.87],[new Date(“2019-02-10”),83.868,83.87],[new Date(“2019-02-11”),83.905,83.90],[new Date(“2019-02-12”),83.968,83.97],[new Date(“2019-02-13”),83.946,83.95],[new Date(“2019-02-14”),84.020,84.02],[new Date(“2019-02-15”),84.032,84.03],[new Date(“2019-02-16”),84.032,84.03],[new Date(“2019-02-17”),84.032,84.03],[new Date(“2019-02-18”),84.032,84.03],[new Date(“2019-02-19”),84.032,84.03],[new Date(“2019-02-20”),84.032,84.03],[new Date(“2019-02-21”),84.032,84.03],[new Date(“2019-02-22”),84.032,84.03],[new Date(“2019-02-23”),83.983,83.98],[new Date(“2019-02-24”),83.983,83.98],[new Date(“2019-02-25”),84.146,84.15],[new Date(“2019-02-26”),84.143,84.14],[new Date(“2019-02-27”),84.167,84.17],[new Date(“2019-02-28″),83.864,83.86],]);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, 2019

01      83.7060
02      83.9120
↘0.206, 0.25%
03      83.9620
↘0.050, 0.06%
04      83.8504
↗0.112, 0.13%
05      83.8504
→0.000, 0.00%
06      83.8498
↗0.001, 0.00%
07      83.9220
↘0.072, 0.09%
08      83.9360
↘0.014, 0.02%
09      83.9540
↘0.018, 0.02%
10      83.9499
↗0.004, 0.00%
11      83.7120
↗0.238, 0.28%
12      83.7120
→0.000, 0.00%
13      83.7120
↗0.000, 0.00%
14      83.9220
↘0.210, 0.25%
15      83.9598
↘0.038, 0.04%
16      83.9098
↗0.050, 0.06%
17      83.9090
↗0.001, 0.00%
18      83.6740
↗0.235, 0.28%
19      83.6740
→0.000, 0.00%
20      83.6740
↗0.000, 0.00%
21      83.9830
↘0.309, 0.37%
22      83.9290
↗0.054, 0.06%
23      83.9310
↘0.002, 0.00%
24      83.8970
↗0.034, 0.04%
25      83.7640
↗0.133, 0.16%
26      83.3675
↗0.397, 0.47%
27      83.3675
↗0.000, 0.00%
28      83.4340
↘0.066, 0.08%
29      83.5560
↘0.122, 0.15%
30      83.7320
↘0.176, 0.21%
31      84.2330
↘0.501, 0.60%
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(“2019-01-01”),83.706,83.71],[new Date(“2019-01-02”),83.912,83.91],[new Date(“2019-01-03”),83.962,83.96],[new Date(“2019-01-04”),83.850,83.85],[new Date(“2019-01-05”),83.850,83.85],[new Date(“2019-01-06”),83.850,83.85],[new Date(“2019-01-07”),83.922,83.92],[new Date(“2019-01-08”),83.936,83.94],[new Date(“2019-01-09”),83.954,83.95],[new Date(“2019-01-10”),83.950,83.95],[new Date(“2019-01-11”),83.712,83.71],[new Date(“2019-01-12”),83.712,83.71],[new Date(“2019-01-13”),83.712,83.71],[new Date(“2019-01-14”),83.922,83.92],[new Date(“2019-01-15”),83.960,83.96],[new Date(“2019-01-16”),83.910,83.91],[new Date(“2019-01-17”),83.909,83.91],[new Date(“2019-01-18”),83.674,83.67],[new Date(“2019-01-19”),83.674,83.67],[new Date(“2019-01-20”),83.674,83.67],[new Date(“2019-01-21”),83.983,83.98],[new Date(“2019-01-22”),83.929,83.93],[new Date(“2019-01-23”),83.931,83.93],[new Date(“2019-01-24”),83.897,83.90],[new Date(“2019-01-25”),83.764,83.76],[new Date(“2019-01-26”),83.368,83.37],[new Date(“2019-01-27”),83.368,83.37],[new Date(“2019-01-28”),83.434,83.43],[new Date(“2019-01-29”),83.556,83.56],[new Date(“2019-01-30”),83.732,83.73],[new Date(“2019-01-31″),84.233,84.23],]);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);
}