Bangladeshi Taka BDT 2018 Conversion Rates

  • Opening Value is 82.639999 BDT per Dollar
  • Closing Value is 83.645980 BDT per Dollar
  • Change in Value during 2018 is 1.0060 which is 1.22%
  • Best Performance is on 2018-01-01 with 82.639999 BDT per Dollar
  • Lowest Performance is on 2018-10-28 with 84.878497 BDT per Dollar
  • Average Value is 83.5753 BDT per Dollar
  • Swing Between the higest and the lowest is 2.2385 per Dollar, that is 2.71% compared to the opening value.

USD to BDT Conversion Rates – 12 months

Date 1 USD =
2018-12-31 83.6460 BDT
2018-11-30 83.8170 BDT
2018-10-31 84.0510 BDT
2018-09-30 83.8199 BDT
2018-08-31 83.8420 BDT
2018-07-31 84.4580 BDT
2018-06-30 83.6000 BDT
2018-05-31 83.9900 BDT
2018-04-30 84.1900 BDT
2018-03-31 82.9000 BDT
2018-02-28 82.9100 BDT
2018-01-31 82.8600 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(“2018-12-31”),83.646,83.65],[new Date(“2018-11-30”),83.817,83.82],[new Date(“2018-10-31”),84.051,84.05],[new Date(“2018-09-30”),83.820,83.82],[new Date(“2018-08-31”),83.842,83.84],[new Date(“2018-07-31”),84.458,84.46],[new Date(“2018-06-30”),83.600,83.60],[new Date(“2018-05-31”),83.990,83.99],[new Date(“2018-04-30”),84.190,84.19],[new Date(“2018-03-31”),82.900,82.90],[new Date(“2018-02-28”),82.910,82.91],[new Date(“2018-01-31”),82.860,82.86],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
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, 2018

01      84.1895
02      84.1895
↗0.000, 0.00%
03      84.1280
↗0.062, 0.07%
04      83.8905
↗0.237, 0.28%
05      83.9060
↘0.015, 0.02%
06      83.8680
↗0.038, 0.05%
07      83.7340
↗0.134, 0.16%
08      83.7340
→0.000, 0.00%
09      83.7340
↗0.000, 0.00%
10      83.8590
↘0.125, 0.15%
11      83.8710
↘0.012, 0.01%
12      83.8960
↘0.025, 0.03%
13      83.9170
↘0.021, 0.03%
14      83.7940
↗0.123, 0.15%
15      83.7940
→0.000, 0.00%
16      83.7940
↗0.000, 0.00%
17      83.8960
↘0.102, 0.12%
18      83.8960
↘0.000, 0.00%
19      83.9060
↘0.010, 0.01%
20      83.9260
↘0.020, 0.02%
21      83.6360
↗0.290, 0.35%
22      83.6360
→0.000, 0.00%
23      83.6360
↗0.000, 0.00%
24      83.9370
↘0.301, 0.36%
25      83.9470
↘0.010, 0.01%
26      83.9470
↘0.000, 0.00%
27      83.8202
↗0.127, 0.15%
28      83.7480
↗0.072, 0.09%
29      83.7480
→0.000, 0.00%
30      83.7480
↗0.000, 0.00%
31      83.6460
↗0.102, 0.12%
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(“2018-12-01”),84.190,84.19],[new Date(“2018-12-02”),84.190,84.19],[new Date(“2018-12-03”),84.128,84.13],[new Date(“2018-12-04”),83.890,83.89],[new Date(“2018-12-05”),83.906,83.91],[new Date(“2018-12-06”),83.868,83.87],[new Date(“2018-12-07”),83.734,83.73],[new Date(“2018-12-08”),83.734,83.73],[new Date(“2018-12-09”),83.734,83.73],[new Date(“2018-12-10”),83.859,83.86],[new Date(“2018-12-11”),83.871,83.87],[new Date(“2018-12-12”),83.896,83.90],[new Date(“2018-12-13”),83.917,83.92],[new Date(“2018-12-14”),83.794,83.79],[new Date(“2018-12-15”),83.794,83.79],[new Date(“2018-12-16”),83.794,83.79],[new Date(“2018-12-17”),83.896,83.90],[new Date(“2018-12-18”),83.896,83.90],[new Date(“2018-12-19”),83.906,83.91],[new Date(“2018-12-20”),83.926,83.93],[new Date(“2018-12-21”),83.636,83.64],[new Date(“2018-12-22”),83.636,83.64],[new Date(“2018-12-23”),83.636,83.64],[new Date(“2018-12-24”),83.937,83.94],[new Date(“2018-12-25”),83.947,83.95],[new Date(“2018-12-26”),83.947,83.95],[new Date(“2018-12-27”),83.820,83.82],[new Date(“2018-12-28”),83.748,83.75],[new Date(“2018-12-29”),83.748,83.75],[new Date(“2018-12-30”),83.748,83.75],[new Date(“2018-12-31″),83.646,83.65],]);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_12’));
chart.draw(data, options);
}

November, 2018

01      83.8280
02      83.8440
↘0.016, 0.02%
03      83.8440
→0.000, 0.00%
04      83.8440
↗0.000, 0.00%
05      83.8697
↘0.026, 0.03%
06      83.8080
↗0.062, 0.07%
07      83.8960
↘0.088, 0.11%
08      83.8340
↗0.062, 0.07%
09      83.7910
↗0.043, 0.05%
10      83.7910
→0.000, 0.00%
11      83.7910
↗0.000, 0.00%
12      83.8020
↘0.011, 0.01%
13      83.8340
↘0.032, 0.04%
14      83.8650
↘0.031, 0.04%
15      83.8945
↘0.029, 0.04%
16      83.7070
↗0.187, 0.22%
17      83.1145
↗0.593, 0.71%
18      83.1145
↗0.000, 0.00%
19      83.1390
↘0.024, 0.03%
20      83.2030
↘0.064, 0.08%
21      83.5603
↘0.357, 0.43%
22      83.9140
↘0.354, 0.42%
23      83.8555
↗0.058, 0.07%
24      83.9304
↘0.075, 0.09%
25      83.9300
↗0.000, 0.00%
26      83.8920
↗0.038, 0.05%
27      83.8780
↗0.014, 0.02%
28      83.9020
↘0.024, 0.03%
29      83.8580
↗0.044, 0.05%
30      83.8170
↗0.041, 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(“2018-11-01”),83.828,83.83],[new Date(“2018-11-02”),83.844,83.84],[new Date(“2018-11-03”),83.844,83.84],[new Date(“2018-11-04”),83.844,83.84],[new Date(“2018-11-05”),83.870,83.87],[new Date(“2018-11-06”),83.808,83.81],[new Date(“2018-11-07”),83.896,83.90],[new Date(“2018-11-08”),83.834,83.83],[new Date(“2018-11-09”),83.791,83.79],[new Date(“2018-11-10”),83.791,83.79],[new Date(“2018-11-11”),83.791,83.79],[new Date(“2018-11-12”),83.802,83.80],[new Date(“2018-11-13”),83.834,83.83],[new Date(“2018-11-14”),83.865,83.87],[new Date(“2018-11-15”),83.895,83.89],[new Date(“2018-11-16”),83.707,83.71],[new Date(“2018-11-17”),83.115,83.11],[new Date(“2018-11-18”),83.115,83.11],[new Date(“2018-11-19”),83.139,83.14],[new Date(“2018-11-20”),83.203,83.20],[new Date(“2018-11-21”),83.560,83.56],[new Date(“2018-11-22”),83.914,83.91],[new Date(“2018-11-23”),83.856,83.86],[new Date(“2018-11-24”),83.930,83.93],[new Date(“2018-11-25”),83.930,83.93],[new Date(“2018-11-26”),83.892,83.89],[new Date(“2018-11-27”),83.878,83.88],[new Date(“2018-11-28”),83.902,83.90],[new Date(“2018-11-29”),83.858,83.86],[new Date(“2018-11-30″),83.817,83.82],]);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, 2018

01      83.8197
02      83.8203
↘0.001, 0.00%
03      83.8196
↗0.001, 0.00%
04      83.8198
↘0.000, 0.00%
05      83.8204
↘0.001, 0.00%
06      83.5295
↗0.291, 0.35%
07      83.5295
↗0.000, 0.00%
08      83.8201
↘0.291, 0.35%
09      83.8199
↗0.000, 0.00%
10      83.8203
↘0.000, 0.00%
11      83.8199
↗0.000, 0.00%
12      83.8204
↘0.001, 0.00%
13      83.8204
→0.000, 0.00%
14      83.8202
↗0.000, 0.00%
15      83.8196
↗0.001, 0.00%
16      83.8201
↘0.000, 0.00%
17      83.8200
↗0.000, 0.00%
18      83.8199
↗0.000, 0.00%
19      83.8204
↘0.000, 0.00%
20      83.8204
→0.000, 0.00%
21      83.8198
↗0.001, 0.00%
22      83.8196
↗0.000, 0.00%
23      83.8195
↗0.000, 0.00%
24      83.8200
↘0.000, 0.00%
25      83.8201
↘0.000, 0.00%
26      83.8204
↘0.000, 0.00%
27      83.8204
→0.000, 0.00%
28      84.8785
↘1.058, 1.26%
29      83.8198
↗1.059, 1.25%
30      83.8194
↗0.000, 0.00%
31      84.0510
↘0.232, 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(“2018-10-01”),83.820,83.82],[new Date(“2018-10-02”),83.820,83.82],[new Date(“2018-10-03”),83.820,83.82],[new Date(“2018-10-04”),83.820,83.82],[new Date(“2018-10-05”),83.820,83.82],[new Date(“2018-10-06”),83.530,83.53],[new Date(“2018-10-07”),83.530,83.53],[new Date(“2018-10-08”),83.820,83.82],[new Date(“2018-10-09”),83.820,83.82],[new Date(“2018-10-10”),83.820,83.82],[new Date(“2018-10-11”),83.820,83.82],[new Date(“2018-10-12”),83.820,83.82],[new Date(“2018-10-13”),83.820,83.82],[new Date(“2018-10-14”),83.820,83.82],[new Date(“2018-10-15”),83.820,83.82],[new Date(“2018-10-16”),83.820,83.82],[new Date(“2018-10-17”),83.820,83.82],[new Date(“2018-10-18”),83.820,83.82],[new Date(“2018-10-19”),83.820,83.82],[new Date(“2018-10-20”),83.820,83.82],[new Date(“2018-10-21”),83.820,83.82],[new Date(“2018-10-22”),83.820,83.82],[new Date(“2018-10-23”),83.820,83.82],[new Date(“2018-10-24”),83.820,83.82],[new Date(“2018-10-25”),83.820,83.82],[new Date(“2018-10-26”),83.820,83.82],[new Date(“2018-10-27”),83.820,83.82],[new Date(“2018-10-28”),84.878,84.88],[new Date(“2018-10-29”),83.820,83.82],[new Date(“2018-10-30”),83.819,83.82],[new Date(“2018-10-31″),84.051,84.05],]);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, 2018

01      83.8420
02      83.8420
↗0.000, 0.00%
03      84.1260
↘0.284, 0.34%
04      83.9420
↗0.184, 0.22%
05      83.8120
↗0.130, 0.15%
06      83.7920
↗0.020, 0.02%
07      83.9050
↘0.113, 0.13%
08      83.9050
→0.000, 0.00%
09      83.9050
↗0.000, 0.00%
10      84.1240
↘0.219, 0.26%
11      83.9080
↗0.216, 0.26%
12      83.7230
↗0.185, 0.22%
13      83.8260
↘0.103, 0.12%
14      83.8180
↗0.008, 0.01%
15      83.8180
→0.000, 0.00%
16      83.8180
↗0.000, 0.00%
17      83.7704
↗0.048, 0.06%
18      83.8940
↘0.124, 0.15%
19      83.9470
↘0.053, 0.06%
20      83.9840
↘0.037, 0.04%
21      83.7860
↗0.198, 0.24%
22      83.7505
↗0.036, 0.04%
23      83.7505
↗0.000, 0.00%
24      84.0990
↘0.349, 0.42%
25      84.0910
↗0.008, 0.01%
26      84.0560
↗0.035, 0.04%
27      84.0310
↗0.025, 0.03%
28      83.8204
↗0.211, 0.25%
29      83.8204
→0.000, 0.00%
30      83.8199
↗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(“2018-09-01”),83.842,83.84],[new Date(“2018-09-02”),83.842,83.84],[new Date(“2018-09-03”),84.126,84.13],[new Date(“2018-09-04”),83.942,83.94],[new Date(“2018-09-05”),83.812,83.81],[new Date(“2018-09-06”),83.792,83.79],[new Date(“2018-09-07”),83.905,83.91],[new Date(“2018-09-08”),83.905,83.91],[new Date(“2018-09-09”),83.905,83.90],[new Date(“2018-09-10”),84.124,84.12],[new Date(“2018-09-11”),83.908,83.91],[new Date(“2018-09-12”),83.723,83.72],[new Date(“2018-09-13”),83.826,83.83],[new Date(“2018-09-14”),83.818,83.82],[new Date(“2018-09-15”),83.818,83.82],[new Date(“2018-09-16”),83.818,83.82],[new Date(“2018-09-17”),83.770,83.77],[new Date(“2018-09-18”),83.894,83.89],[new Date(“2018-09-19”),83.947,83.95],[new Date(“2018-09-20”),83.984,83.98],[new Date(“2018-09-21”),83.786,83.79],[new Date(“2018-09-22”),83.751,83.75],[new Date(“2018-09-23”),83.750,83.75],[new Date(“2018-09-24”),84.099,84.10],[new Date(“2018-09-25”),84.091,84.09],[new Date(“2018-09-26”),84.056,84.06],[new Date(“2018-09-27”),84.031,84.03],[new Date(“2018-09-28”),83.820,83.82],[new Date(“2018-09-29”),83.820,83.82],[new Date(“2018-09-30″),83.820,83.82],]);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, 2018

01      84.5180
02      84.6199
↘0.102, 0.12%
03      84.4590
↗0.161, 0.19%
04      84.4590
→0.000, 0.00%
05      84.4590
↗0.000, 0.00%
06      84.5601
↘0.101, 0.12%
07      84.4880
↗0.072, 0.09%
08      84.4921
↘0.004, 0.00%
09      84.5081
↘0.016, 0.02%
10      84.4930
↗0.015, 0.02%
11      84.4930
→0.000, 0.00%
12      84.4930
↗0.000, 0.00%
13      84.4930
↘0.000, 0.00%
14      84.4930
↘0.000, 0.00%
15      84.2121
↗0.281, 0.33%
16      84.4930
↘0.281, 0.33%
17      84.4930
↘0.000, 0.00%
18      84.4930
→0.000, 0.00%
19      84.4930
↗0.000, 0.00%
20      83.9330
↗0.560, 0.66%
21      83.8180
↗0.115, 0.14%
22      83.7820
↗0.036, 0.04%
23      83.8660
↘0.084, 0.10%
24      83.4670
↗0.399, 0.48%
25      83.4670
→0.000, 0.00%
26      83.4670
↗0.000, 0.00%
27      83.4580
↗0.009, 0.01%
28      83.4804
↘0.022, 0.03%
29      83.5840
↘0.104, 0.12%
30      83.9120
↘0.328, 0.39%
31      83.8420
↗0.070, 0.08%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-08-01”),84.518,84.52],[new Date(“2018-08-02”),84.620,84.62],[new Date(“2018-08-03”),84.459,84.46],[new Date(“2018-08-04”),84.459,84.46],[new Date(“2018-08-05”),84.459,84.46],[new Date(“2018-08-06”),84.560,84.56],[new Date(“2018-08-07”),84.488,84.49],[new Date(“2018-08-08”),84.492,84.49],[new Date(“2018-08-09”),84.508,84.51],[new Date(“2018-08-10”),84.493,84.49],[new Date(“2018-08-11”),84.493,84.49],[new Date(“2018-08-12”),84.493,84.49],[new Date(“2018-08-13”),84.493,84.49],[new Date(“2018-08-14”),84.493,84.49],[new Date(“2018-08-15”),84.212,84.21],[new Date(“2018-08-16”),84.493,84.49],[new Date(“2018-08-17”),84.493,84.49],[new Date(“2018-08-18”),84.493,84.49],[new Date(“2018-08-19”),84.493,84.49],[new Date(“2018-08-20”),83.933,83.93],[new Date(“2018-08-21”),83.818,83.82],[new Date(“2018-08-22”),83.782,83.78],[new Date(“2018-08-23”),83.866,83.87],[new Date(“2018-08-24”),83.467,83.47],[new Date(“2018-08-25”),83.467,83.47],[new Date(“2018-08-26”),83.467,83.47],[new Date(“2018-08-27”),83.458,83.46],[new Date(“2018-08-28”),83.480,83.48],[new Date(“2018-08-29”),83.584,83.58],[new Date(“2018-08-30”),83.912,83.91],[new Date(“2018-08-31″),83.842,83.84],]);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_8’));
chart.draw(data, options);
}

July, 2018

01      83.6000
02      83.6600
↘0.060, 0.07%
03      83.6900
↘0.030, 0.04%
04      83.6900
→0.000, 0.00%
05      83.6600
↗0.030, 0.04%
06      83.6600
→0.000, 0.00%
07      83.6600
→0.000, 0.00%
08      83.9900
↘0.330, 0.39%
09      83.6600
↗0.330, 0.39%
10      83.6600
→0.000, 0.00%
11      83.6600
→0.000, 0.00%
12      83.6700
↘0.010, 0.01%
13      83.6600
↗0.010, 0.01%
14      83.6600
→0.000, 0.00%
15      83.6600
→0.000, 0.00%
16      83.9900
↘0.330, 0.39%
17      83.9900
→0.000, 0.00%
18      83.9900
→0.000, 0.00%
19      83.9900
→0.000, 0.00%
20      83.6900
↗0.300, 0.36%
21      83.6900
→0.000, 0.00%
22      83.6900
→0.000, 0.00%
23      83.9900
↘0.300, 0.36%
24      83.9900
→0.000, 0.00%
25      83.9900
→0.000, 0.00%
26      83.9900
→0.000, 0.00%
27      83.6600
↗0.330, 0.39%
28      83.6600
→0.000, 0.00%
29      84.5050
↘0.845, 1.01%
30      84.3601
↗0.145, 0.17%
31      84.4580
↘0.098, 0.12%
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(“2018-07-01”),83.600,83.60],[new Date(“2018-07-02”),83.660,83.66],[new Date(“2018-07-03”),83.690,83.69],[new Date(“2018-07-04”),83.690,83.69],[new Date(“2018-07-05”),83.660,83.66],[new Date(“2018-07-06”),83.660,83.66],[new Date(“2018-07-07”),83.660,83.66],[new Date(“2018-07-08”),83.990,83.99],[new Date(“2018-07-09”),83.660,83.66],[new Date(“2018-07-10”),83.660,83.66],[new Date(“2018-07-11”),83.660,83.66],[new Date(“2018-07-12”),83.670,83.67],[new Date(“2018-07-13”),83.660,83.66],[new Date(“2018-07-14”),83.660,83.66],[new Date(“2018-07-15”),83.660,83.66],[new Date(“2018-07-16”),83.990,83.99],[new Date(“2018-07-17”),83.990,83.99],[new Date(“2018-07-18”),83.990,83.99],[new Date(“2018-07-19”),83.990,83.99],[new Date(“2018-07-20”),83.690,83.69],[new Date(“2018-07-21”),83.690,83.69],[new Date(“2018-07-22”),83.690,83.69],[new Date(“2018-07-23”),83.990,83.99],[new Date(“2018-07-24”),83.990,83.99],[new Date(“2018-07-25”),83.990,83.99],[new Date(“2018-07-26”),83.990,83.99],[new Date(“2018-07-27”),83.660,83.66],[new Date(“2018-07-28”),83.660,83.66],[new Date(“2018-07-29”),84.505,84.50],[new Date(“2018-07-30”),84.360,84.36],[new Date(“2018-07-31″),84.458,84.46],]);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, 2018

01      83.6700
02      83.6700
→0.000, 0.00%
03      83.6700
→0.000, 0.00%
04      84.2900
↘0.620, 0.74%
05      84.2900
→0.000, 0.00%
06      84.2900
→0.000, 0.00%
07      84.2900
→0.000, 0.00%
08      83.6600
↗0.630, 0.75%
09      83.6600
→0.000, 0.00%
10      84.7002
↘1.040, 1.24%
11      84.2900
↗0.410, 0.48%
12      84.0400
↗0.250, 0.30%
13      84.0400
→0.000, 0.00%
14      83.6700
↗0.370, 0.44%
15      83.6700
→0.000, 0.00%
16      83.6700
→0.000, 0.00%
17      83.9900
↘0.320, 0.38%
18      83.9900
→0.000, 0.00%
19      83.9900
→0.000, 0.00%
20      83.9900
→0.000, 0.00%
21      83.9900
→0.000, 0.00%
22      83.6400
↗0.350, 0.42%
23      83.6400
→0.000, 0.00%
24      83.6400
→0.000, 0.00%
25      83.9900
↘0.350, 0.42%
26      83.9900
→0.000, 0.00%
27      83.9900
→0.000, 0.00%
28      83.6100
↗0.380, 0.45%
29      83.6000
↗0.010, 0.01%
30      83.6000
→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(“2018-06-01”),83.670,83.67],[new Date(“2018-06-02”),83.670,83.67],[new Date(“2018-06-03”),83.670,83.67],[new Date(“2018-06-04”),84.290,84.29],[new Date(“2018-06-05”),84.290,84.29],[new Date(“2018-06-06”),84.290,84.29],[new Date(“2018-06-07”),84.290,84.29],[new Date(“2018-06-08”),83.660,83.66],[new Date(“2018-06-09”),83.660,83.66],[new Date(“2018-06-10”),84.700,84.70],[new Date(“2018-06-11”),84.290,84.29],[new Date(“2018-06-12”),84.040,84.04],[new Date(“2018-06-13”),84.040,84.04],[new Date(“2018-06-14”),83.670,83.67],[new Date(“2018-06-15”),83.670,83.67],[new Date(“2018-06-16”),83.670,83.67],[new Date(“2018-06-17”),83.990,83.99],[new Date(“2018-06-18”),83.990,83.99],[new Date(“2018-06-19”),83.990,83.99],[new Date(“2018-06-20”),83.990,83.99],[new Date(“2018-06-21”),83.990,83.99],[new Date(“2018-06-22”),83.640,83.64],[new Date(“2018-06-23”),83.640,83.64],[new Date(“2018-06-24”),83.640,83.64],[new Date(“2018-06-25”),83.990,83.99],[new Date(“2018-06-26”),83.990,83.99],[new Date(“2018-06-27”),83.990,83.99],[new Date(“2018-06-28”),83.610,83.61],[new Date(“2018-06-29”),83.600,83.60],[new Date(“2018-06-30″),83.600,83.60],]);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, 2018

01      84.1900
02      84.1900
→0.000, 0.00%
03      84.4400
↘0.250, 0.30%
04      82.9100
↗1.530, 1.81%
05      82.9100
→0.000, 0.00%
06      82.9100
→0.000, 0.00%
07      84.4400
↘1.530, 1.85%
08      84.4400
→0.000, 0.00%
09      84.4400
→0.000, 0.00%
10      84.4400
→0.000, 0.00%
11      82.9400
↗1.500, 1.78%
12      82.9400
→0.000, 0.00%
13      84.4400
↘1.500, 1.81%
14      83.0200
↗1.420, 1.68%
15      84.5900
↘1.570, 1.89%
16      84.5900
→0.000, 0.00%
17      84.5900
→0.000, 0.00%
18      83.5040
↗1.086, 1.28%
19      83.5040
→0.000, 0.00%
20      84.5900
↘1.086, 1.30%
21      84.5900
→0.000, 0.00%
22      83.9900
↗0.600, 0.71%
23      83.6300
↗0.360, 0.43%
24      83.9900
↘0.360, 0.43%
25      83.6804
↗0.310, 0.37%
26      83.6804
→0.000, 0.00%
27      83.6799
↗0.001, 0.00%
28      83.9900
↘0.310, 0.37%
29      83.6700
↗0.320, 0.38%
30      83.9900
↘0.320, 0.38%
31      83.9900
→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(“2018-05-01”),84.190,84.19],[new Date(“2018-05-02”),84.190,84.19],[new Date(“2018-05-03”),84.440,84.44],[new Date(“2018-05-04”),82.910,82.91],[new Date(“2018-05-05”),82.910,82.91],[new Date(“2018-05-06”),82.910,82.91],[new Date(“2018-05-07”),84.440,84.44],[new Date(“2018-05-08”),84.440,84.44],[new Date(“2018-05-09”),84.440,84.44],[new Date(“2018-05-10”),84.440,84.44],[new Date(“2018-05-11”),82.940,82.94],[new Date(“2018-05-12”),82.940,82.94],[new Date(“2018-05-13”),84.440,84.44],[new Date(“2018-05-14”),83.020,83.02],[new Date(“2018-05-15”),84.590,84.59],[new Date(“2018-05-16”),84.590,84.59],[new Date(“2018-05-17”),84.590,84.59],[new Date(“2018-05-18”),83.504,83.50],[new Date(“2018-05-19”),83.504,83.50],[new Date(“2018-05-20”),84.590,84.59],[new Date(“2018-05-21”),84.590,84.59],[new Date(“2018-05-22”),83.990,83.99],[new Date(“2018-05-23”),83.630,83.63],[new Date(“2018-05-24”),83.990,83.99],[new Date(“2018-05-25”),83.680,83.68],[new Date(“2018-05-26”),83.680,83.68],[new Date(“2018-05-27”),83.680,83.68],[new Date(“2018-05-28”),83.990,83.99],[new Date(“2018-05-29”),83.670,83.67],[new Date(“2018-05-30”),83.990,83.99],[new Date(“2018-05-31″),83.990,83.99],]);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, 2018

01      82.9000
02      82.9100
↘0.010, 0.01%
03      82.9100
→0.000, 0.00%
04      82.8700
↗0.040, 0.05%
05      82.9100
↘0.040, 0.05%
06      82.8900
↗0.020, 0.02%
07      82.8900
→0.000, 0.00%
08      82.8900
→0.000, 0.00%
09      82.9100
↘0.020, 0.02%
10      82.9000
↗0.010, 0.01%
11      82.9100
↘0.010, 0.01%
12      82.9000
↗0.010, 0.01%
13      82.8700
↗0.030, 0.04%
14      82.8700
→0.000, 0.00%
15      82.8700
→0.000, 0.00%
16      82.8900
↘0.020, 0.02%
17      82.8700
↗0.020, 0.02%
18      82.8800
↘0.010, 0.01%
19      82.9200
↘0.040, 0.05%
20      82.9100
↗0.010, 0.01%
21      82.9100
→0.000, 0.00%
22      82.9100
→0.000, 0.00%
23      84.0900
↘1.180, 1.42%
24      84.0900
→0.000, 0.00%
25      84.1900
↘0.100, 0.12%
26      84.1900
→0.000, 0.00%
27      82.8700
↗1.320, 1.57%
28      82.8700
→0.000, 0.00%
29      84.1900
↘1.320, 1.59%
30      84.1900
→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(“2018-04-01”),82.900,82.90],[new Date(“2018-04-02”),82.910,82.91],[new Date(“2018-04-03”),82.910,82.91],[new Date(“2018-04-04”),82.870,82.87],[new Date(“2018-04-05”),82.910,82.91],[new Date(“2018-04-06”),82.890,82.89],[new Date(“2018-04-07”),82.890,82.89],[new Date(“2018-04-08”),82.890,82.89],[new Date(“2018-04-09”),82.910,82.91],[new Date(“2018-04-10”),82.900,82.90],[new Date(“2018-04-11”),82.910,82.91],[new Date(“2018-04-12”),82.900,82.90],[new Date(“2018-04-13”),82.870,82.87],[new Date(“2018-04-14”),82.870,82.87],[new Date(“2018-04-15”),82.870,82.87],[new Date(“2018-04-16”),82.890,82.89],[new Date(“2018-04-17”),82.870,82.87],[new Date(“2018-04-18”),82.880,82.88],[new Date(“2018-04-19”),82.920,82.92],[new Date(“2018-04-20”),82.910,82.91],[new Date(“2018-04-21”),82.910,82.91],[new Date(“2018-04-22”),82.910,82.91],[new Date(“2018-04-23”),84.090,84.09],[new Date(“2018-04-24”),84.090,84.09],[new Date(“2018-04-25”),84.190,84.19],[new Date(“2018-04-26”),84.190,84.19],[new Date(“2018-04-27”),82.870,82.87],[new Date(“2018-04-28”),82.870,82.87],[new Date(“2018-04-29”),84.190,84.19],[new Date(“2018-04-30″),84.190,84.19],]);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, 2018

01      82.8800
02      82.8900
↘0.010, 0.01%
03      82.8900
→0.000, 0.00%
04      82.8900
→0.000, 0.00%
05      82.8900
→0.000, 0.00%
06      82.9000
↘0.010, 0.01%
07      82.8900
↗0.010, 0.01%
08      82.8900
→0.000, 0.00%
09      82.8700
↗0.020, 0.02%
10      82.8700
→0.000, 0.00%
11      82.9400
↘0.070, 0.08%
12      82.9000
↗0.040, 0.05%
13      82.8700
↗0.030, 0.04%
14      82.8900
↘0.020, 0.02%
15      82.8700
↗0.020, 0.02%
16      82.8900
↘0.020, 0.02%
17      82.8900
→0.000, 0.00%
18      82.8900
→0.000, 0.00%
19      82.8900
→0.000, 0.00%
20      82.8900
→0.000, 0.00%
21      82.8700
↗0.020, 0.02%
22      82.8900
↘0.020, 0.02%
23      82.8800
↗0.010, 0.01%
24      82.8800
→0.000, 0.00%
25      82.8800
→0.000, 0.00%
26      82.9100
↘0.030, 0.04%
27      82.9100
→0.000, 0.00%
28      83.8700
↘0.960, 1.16%
29      82.9000
↗0.970, 1.16%
30      82.9000
→0.000, 0.00%
31      82.9000
→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(“2018-03-01”),82.880,82.88],[new Date(“2018-03-02”),82.890,82.89],[new Date(“2018-03-03”),82.890,82.89],[new Date(“2018-03-04”),82.890,82.89],[new Date(“2018-03-05”),82.890,82.89],[new Date(“2018-03-06”),82.900,82.90],[new Date(“2018-03-07”),82.890,82.89],[new Date(“2018-03-08”),82.890,82.89],[new Date(“2018-03-09”),82.870,82.87],[new Date(“2018-03-10”),82.870,82.87],[new Date(“2018-03-11”),82.940,82.94],[new Date(“2018-03-12”),82.900,82.90],[new Date(“2018-03-13”),82.870,82.87],[new Date(“2018-03-14”),82.890,82.89],[new Date(“2018-03-15”),82.870,82.87],[new Date(“2018-03-16”),82.890,82.89],[new Date(“2018-03-17”),82.890,82.89],[new Date(“2018-03-18”),82.890,82.89],[new Date(“2018-03-19”),82.890,82.89],[new Date(“2018-03-20”),82.890,82.89],[new Date(“2018-03-21”),82.870,82.87],[new Date(“2018-03-22”),82.890,82.89],[new Date(“2018-03-23”),82.880,82.88],[new Date(“2018-03-24”),82.880,82.88],[new Date(“2018-03-25”),82.880,82.88],[new Date(“2018-03-26”),82.910,82.91],[new Date(“2018-03-27”),82.910,82.91],[new Date(“2018-03-28”),83.870,83.87],[new Date(“2018-03-29”),82.900,82.90],[new Date(“2018-03-30”),82.900,82.90],[new Date(“2018-03-31″),82.900,82.90],]);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, 2018

01      82.8600
02      82.8700
↘0.010, 0.01%
03      82.8700
→0.000, 0.00%
04      82.8700
→0.000, 0.00%
05      82.8600
↗0.010, 0.01%
06      82.8700
↘0.010, 0.01%
07      82.7800
↗0.090, 0.11%
08      82.8700
↘0.090, 0.11%
09      82.8700
→0.000, 0.00%
10      82.8700
→0.000, 0.00%
11      82.8700
→0.000, 0.00%
12      82.8700
→0.000, 0.00%
13      82.8700
→0.000, 0.00%
14      82.8400
↗0.030, 0.04%
15      82.8700
↘0.030, 0.04%
16      82.8700
→0.000, 0.00%
17      82.8700
→0.000, 0.00%
18      82.8700
→0.000, 0.00%
19      82.8700
→0.000, 0.00%
20      82.9200
↘0.050, 0.06%
21      82.9000
↗0.020, 0.02%
22      82.8900
↗0.010, 0.01%
23      82.8700
↗0.020, 0.02%
24      82.8700
→0.000, 0.00%
25      82.8900
↘0.020, 0.02%
26      82.8700
↗0.020, 0.02%
27      82.8800
↘0.010, 0.01%
28      82.9100
↘0.030, 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(“2018-02-01”),82.860,82.86],[new Date(“2018-02-02”),82.870,82.87],[new Date(“2018-02-03”),82.870,82.87],[new Date(“2018-02-04”),82.870,82.87],[new Date(“2018-02-05”),82.860,82.86],[new Date(“2018-02-06”),82.870,82.87],[new Date(“2018-02-07”),82.780,82.78],[new Date(“2018-02-08”),82.870,82.87],[new Date(“2018-02-09”),82.870,82.87],[new Date(“2018-02-10”),82.870,82.87],[new Date(“2018-02-11”),82.870,82.87],[new Date(“2018-02-12”),82.870,82.87],[new Date(“2018-02-13”),82.870,82.87],[new Date(“2018-02-14”),82.840,82.84],[new Date(“2018-02-15”),82.870,82.87],[new Date(“2018-02-16”),82.870,82.87],[new Date(“2018-02-17”),82.870,82.87],[new Date(“2018-02-18”),82.870,82.87],[new Date(“2018-02-19”),82.870,82.87],[new Date(“2018-02-20”),82.920,82.92],[new Date(“2018-02-21”),82.900,82.90],[new Date(“2018-02-22”),82.890,82.89],[new Date(“2018-02-23”),82.870,82.87],[new Date(“2018-02-24”),82.870,82.87],[new Date(“2018-02-25”),82.890,82.89],[new Date(“2018-02-26”),82.870,82.87],[new Date(“2018-02-27”),82.880,82.88],[new Date(“2018-02-28″),82.910,82.91],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2018

01      82.6400
02      82.6600
↘0.020, 0.02%
03      82.6600
→0.000, 0.00%
04      82.6600
→0.000, 0.00%
05      82.6700
↘0.010, 0.01%
06      82.6700
→0.000, 0.00%
07      82.6700
→0.000, 0.00%
08      82.6900
↘0.020, 0.02%
09      82.7200
↘0.030, 0.04%
10      82.7300
↘0.010, 0.01%
11      82.7300
→0.000, 0.00%
12      82.7400
↘0.010, 0.01%
13      82.7400
→0.000, 0.00%
14      82.7400
→0.000, 0.00%
15      82.7800
↘0.040, 0.05%
16      82.7600
↗0.020, 0.02%
17      82.8000
↘0.040, 0.05%
18      82.7498
↗0.050, 0.06%
19      82.7900
↘0.040, 0.05%
20      82.7900
→0.000, 0.00%
21      82.7900
→0.000, 0.00%
22      82.8300
↘0.040, 0.05%
23      82.8600
↘0.030, 0.04%
24      82.8700
↘0.010, 0.01%
25      82.8700
→0.000, 0.00%
26      82.8600
↗0.010, 0.01%
27      82.8600
→0.000, 0.00%
28      82.8600
→0.000, 0.00%
29      82.8700
↘0.010, 0.01%
30      82.8600
↗0.010, 0.01%
31      82.8600
→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(“2018-01-01”),82.640,82.64],[new Date(“2018-01-02”),82.660,82.66],[new Date(“2018-01-03”),82.660,82.66],[new Date(“2018-01-04”),82.660,82.66],[new Date(“2018-01-05”),82.670,82.67],[new Date(“2018-01-06”),82.670,82.67],[new Date(“2018-01-07”),82.670,82.67],[new Date(“2018-01-08”),82.690,82.69],[new Date(“2018-01-09”),82.720,82.72],[new Date(“2018-01-10”),82.730,82.73],[new Date(“2018-01-11”),82.730,82.73],[new Date(“2018-01-12”),82.740,82.74],[new Date(“2018-01-13”),82.740,82.74],[new Date(“2018-01-14”),82.740,82.74],[new Date(“2018-01-15”),82.780,82.78],[new Date(“2018-01-16”),82.760,82.76],[new Date(“2018-01-17”),82.800,82.80],[new Date(“2018-01-18”),82.750,82.75],[new Date(“2018-01-19”),82.790,82.79],[new Date(“2018-01-20”),82.790,82.79],[new Date(“2018-01-21”),82.790,82.79],[new Date(“2018-01-22”),82.830,82.83],[new Date(“2018-01-23”),82.860,82.86],[new Date(“2018-01-24”),82.870,82.87],[new Date(“2018-01-25”),82.870,82.87],[new Date(“2018-01-26”),82.860,82.86],[new Date(“2018-01-27”),82.860,82.86],[new Date(“2018-01-28”),82.860,82.86],[new Date(“2018-01-29”),82.870,82.87],[new Date(“2018-01-30”),82.860,82.86],[new Date(“2018-01-31″),82.860,82.86],]);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_1’));
chart.draw(data, options);
}