Bangladeshi Taka BDT 2017 Conversion Rates

  • Opening Value is 78.910004 BDT per Dollar
  • Closing Value is 82.639999 BDT per Dollar
  • Change in Value during 2017 is 3.7300 which is 4.73%
  • Best Performance is on 2017-01-02 with 78.889999 BDT per Dollar
  • Lowest Performance is on 2017-11-28 with 84.739998 BDT per Dollar
  • Average Value is 81.0397 BDT per Dollar
  • Swing Between the higest and the lowest is 5.8500 per Dollar, that is 7.41% compared to the opening value.

USD to BDT Conversion Rates – 12 months

Date 1 USD =
2017-12-31 82.6400 BDT
2017-11-30 82.2100 BDT
2017-10-31 82.8100 BDT
2017-09-30 82.1000 BDT
2017-08-31 80.6700 BDT
2017-07-31 81.1900 BDT
2017-06-30 80.5600 BDT
2017-05-31 80.6700 BDT
2017-04-30 82.0900 BDT
2017-03-31 80.1900 BDT
2017-02-28 79.5600 BDT
2017-01-31 79.4800 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(“2017-12-31”),82.640,82.64],[new Date(“2017-11-30”),82.210,82.21],[new Date(“2017-10-31”),82.810,82.81],[new Date(“2017-09-30”),82.100,82.10],[new Date(“2017-08-31”),80.670,80.67],[new Date(“2017-07-31”),81.190,81.19],[new Date(“2017-06-30”),80.560,80.56],[new Date(“2017-05-31”),80.670,80.67],[new Date(“2017-04-30”),82.090,82.09],[new Date(“2017-03-31”),80.190,80.19],[new Date(“2017-02-28”),79.560,79.56],[new Date(“2017-01-31”),79.480,79.48],]);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, 2017

01      82.1900
02      82.1900
→0.000, 0.00%
03      82.1900
→0.000, 0.00%
04      82.2100
↘0.020, 0.02%
05      82.1900
↗0.020, 0.02%
06      82.2800
↘0.090, 0.11%
07      82.2800
→0.000, 0.00%
08      82.3500
↘0.070, 0.09%
09      82.3500
→0.000, 0.00%
10      82.3500
→0.000, 0.00%
11      82.3400
↗0.010, 0.01%
12      82.4600
↘0.120, 0.15%
13      82.4400
↗0.020, 0.02%
14      82.4700
↘0.030, 0.04%
15      82.5300
↘0.060, 0.07%
16      82.5300
→0.000, 0.00%
17      82.5300
→0.000, 0.00%
18      82.5600
↘0.030, 0.04%
19      82.5704
↘0.010, 0.01%
20      82.6200
↘0.050, 0.06%
21      82.6400
↘0.020, 0.02%
22      82.6500
↘0.010, 0.01%
23      82.6500
→0.000, 0.00%
24      82.6500
→0.000, 0.00%
25      82.6500
→0.000, 0.00%
26      82.6700
↘0.020, 0.02%
27      82.6600
↗0.010, 0.01%
28      82.6700
↘0.010, 0.01%
29      82.6400
↗0.030, 0.04%
30      82.6400
→0.000, 0.00%
31      82.6400
→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(“2017-12-01”),82.190,82.19],[new Date(“2017-12-02”),82.190,82.19],[new Date(“2017-12-03”),82.190,82.19],[new Date(“2017-12-04”),82.210,82.21],[new Date(“2017-12-05”),82.190,82.19],[new Date(“2017-12-06”),82.280,82.28],[new Date(“2017-12-07”),82.280,82.28],[new Date(“2017-12-08”),82.350,82.35],[new Date(“2017-12-09”),82.350,82.35],[new Date(“2017-12-10”),82.350,82.35],[new Date(“2017-12-11”),82.340,82.34],[new Date(“2017-12-12”),82.460,82.46],[new Date(“2017-12-13”),82.440,82.44],[new Date(“2017-12-14”),82.470,82.47],[new Date(“2017-12-15”),82.530,82.53],[new Date(“2017-12-16”),82.530,82.53],[new Date(“2017-12-17”),82.530,82.53],[new Date(“2017-12-18”),82.560,82.56],[new Date(“2017-12-19”),82.570,82.57],[new Date(“2017-12-20”),82.620,82.62],[new Date(“2017-12-21”),82.640,82.64],[new Date(“2017-12-22”),82.650,82.65],[new Date(“2017-12-23”),82.650,82.65],[new Date(“2017-12-24”),82.650,82.65],[new Date(“2017-12-25”),82.650,82.65],[new Date(“2017-12-26”),82.670,82.67],[new Date(“2017-12-27”),82.660,82.66],[new Date(“2017-12-28”),82.670,82.67],[new Date(“2017-12-29”),82.640,82.64],[new Date(“2017-12-30”),82.640,82.64],[new Date(“2017-12-31″),82.640,82.64],]);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, 2017

01      82.8400
02      82.7800
↗0.060, 0.07%
03      82.8400
↘0.060, 0.07%
04      82.8400
→0.000, 0.00%
05      80.8100
↗2.030, 2.45%
06      82.8400
↘2.030, 2.51%
07      82.3500
↗0.490, 0.59%
08      82.9900
↘0.640, 0.78%
09      82.6100
↗0.380, 0.46%
10      83.1400
↘0.530, 0.64%
11      83.1400
→0.000, 0.00%
12      80.9800
↗2.160, 2.60%
13      82.8199
↘1.840, 2.27%
14      83.2900
↘0.470, 0.57%
15      83.2900
→0.000, 0.00%
16      83.4400
↘0.150, 0.18%
17      83.4400
→0.000, 0.00%
18      83.4400
→0.000, 0.00%
19      80.9400
↗2.500, 3.00%
20      83.3900
↘2.450, 3.03%
21      82.7800
↗0.610, 0.73%
22      83.6900
↘0.910, 1.10%
23      81.2900
↗2.400, 2.87%
24      84.2400
↘2.950, 3.63%
25      84.2400
→0.000, 0.00%
26      81.2900
↗2.950, 3.50%
27      84.4900
↘3.200, 3.94%
28      84.7400
↘0.250, 0.30%
29      81.9100
↗2.830, 3.34%
30      82.2100
↘0.300, 0.37%
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(“2017-11-01”),82.840,82.84],[new Date(“2017-11-02”),82.780,82.78],[new Date(“2017-11-03”),82.840,82.84],[new Date(“2017-11-04”),82.840,82.84],[new Date(“2017-11-05”),80.810,80.81],[new Date(“2017-11-06”),82.840,82.84],[new Date(“2017-11-07”),82.350,82.35],[new Date(“2017-11-08”),82.990,82.99],[new Date(“2017-11-09”),82.610,82.61],[new Date(“2017-11-10”),83.140,83.14],[new Date(“2017-11-11”),83.140,83.14],[new Date(“2017-11-12”),80.980,80.98],[new Date(“2017-11-13”),82.820,82.82],[new Date(“2017-11-14”),83.290,83.29],[new Date(“2017-11-15”),83.290,83.29],[new Date(“2017-11-16”),83.440,83.44],[new Date(“2017-11-17”),83.440,83.44],[new Date(“2017-11-18”),83.440,83.44],[new Date(“2017-11-19”),80.940,80.94],[new Date(“2017-11-20”),83.390,83.39],[new Date(“2017-11-21”),82.780,82.78],[new Date(“2017-11-22”),83.690,83.69],[new Date(“2017-11-23”),81.290,81.29],[new Date(“2017-11-24”),84.240,84.24],[new Date(“2017-11-25”),84.240,84.24],[new Date(“2017-11-26”),81.290,81.29],[new Date(“2017-11-27”),84.490,84.49],[new Date(“2017-11-28”),84.740,84.74],[new Date(“2017-11-29”),81.910,81.91],[new Date(“2017-11-30″),82.210,82.21],]);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, 2017

01      82.1000
02      81.8201
↗0.280, 0.34%
03      81.3196
↗0.501, 0.61%
04      82.0100
↘0.690, 0.85%
05      80.7501
↗1.260, 1.54%
06      81.2600
↘0.510, 0.63%
07      81.2600
→0.000, 0.00%
08      81.2600
→0.000, 0.00%
09      81.9100
↘0.650, 0.80%
10      81.2600
↗0.650, 0.79%
11      81.4200
↘0.160, 0.20%
12      80.7600
↗0.660, 0.81%
13      80.7400
↗0.020, 0.02%
14      80.7400
→0.000, 0.00%
15      80.7400
→0.000, 0.00%
16      80.7900
↘0.050, 0.06%
17      80.7700
↗0.020, 0.02%
18      82.3000
↘1.530, 1.89%
19      82.2800
↗0.020, 0.02%
20      82.4400
↘0.160, 0.19%
21      82.4400
→0.000, 0.00%
22      82.3900
↗0.050, 0.06%
23      82.6900
↘0.300, 0.36%
24      82.7900
↘0.100, 0.12%
25      82.6900
↗0.100, 0.12%
26      82.7600
↘0.070, 0.08%
27      82.7600
→0.000, 0.00%
28      82.7600
→0.000, 0.00%
29      82.7600
→0.000, 0.00%
30      82.8100
↘0.050, 0.06%
31      82.8100
→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(“2017-10-01”),82.100,82.10],[new Date(“2017-10-02”),81.820,81.82],[new Date(“2017-10-03”),81.320,81.32],[new Date(“2017-10-04”),82.010,82.01],[new Date(“2017-10-05”),80.750,80.75],[new Date(“2017-10-06”),81.260,81.26],[new Date(“2017-10-07”),81.260,81.26],[new Date(“2017-10-08”),81.260,81.26],[new Date(“2017-10-09”),81.910,81.91],[new Date(“2017-10-10”),81.260,81.26],[new Date(“2017-10-11”),81.420,81.42],[new Date(“2017-10-12”),80.760,80.76],[new Date(“2017-10-13”),80.740,80.74],[new Date(“2017-10-14”),80.740,80.74],[new Date(“2017-10-15”),80.740,80.74],[new Date(“2017-10-16”),80.790,80.79],[new Date(“2017-10-17”),80.770,80.77],[new Date(“2017-10-18”),82.300,82.30],[new Date(“2017-10-19”),82.280,82.28],[new Date(“2017-10-20”),82.440,82.44],[new Date(“2017-10-21”),82.440,82.44],[new Date(“2017-10-22”),82.390,82.39],[new Date(“2017-10-23”),82.690,82.69],[new Date(“2017-10-24”),82.790,82.79],[new Date(“2017-10-25”),82.690,82.69],[new Date(“2017-10-26”),82.760,82.76],[new Date(“2017-10-27”),82.760,82.76],[new Date(“2017-10-28”),82.760,82.76],[new Date(“2017-10-29”),82.760,82.76],[new Date(“2017-10-30”),82.810,82.81],[new Date(“2017-10-31″),82.810,82.81],]);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, 2017

01      80.6600
02      80.6600
→0.000, 0.00%
03      80.6600
→0.000, 0.00%
04      81.1700
↘0.510, 0.63%
05      81.2100
↘0.040, 0.05%
06      81.1805
↗0.030, 0.04%
07      81.4600
↘0.280, 0.34%
08      81.4200
↗0.040, 0.05%
09      81.4200
→0.000, 0.00%
10      81.4200
→0.000, 0.00%
11      81.9400
↘0.520, 0.64%
12      81.9200
↗0.020, 0.02%
13      81.9100
↗0.010, 0.01%
14      80.6600
↗1.250, 1.53%
15      80.6200
↗0.040, 0.05%
16      80.6200
→0.000, 0.00%
17      80.6200
→0.000, 0.00%
18      80.6801
↘0.060, 0.07%
19      81.9900
↘1.310, 1.62%
20      80.7100
↗1.280, 1.56%
21      81.8400
↘1.130, 1.40%
22      81.7504
↗0.090, 0.11%
23      81.7504
→0.000, 0.00%
24      81.8300
↘0.080, 0.10%
25      80.6200
↗1.210, 1.48%
26      80.7600
↘0.140, 0.17%
27      82.0702
↘1.310, 1.62%
28      81.8200
↗0.250, 0.30%
29      82.1000
↘0.280, 0.34%
30      82.1000
→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(“2017-09-01”),80.660,80.66],[new Date(“2017-09-02”),80.660,80.66],[new Date(“2017-09-03”),80.660,80.66],[new Date(“2017-09-04”),81.170,81.17],[new Date(“2017-09-05”),81.210,81.21],[new Date(“2017-09-06”),81.180,81.18],[new Date(“2017-09-07”),81.460,81.46],[new Date(“2017-09-08”),81.420,81.42],[new Date(“2017-09-09”),81.420,81.42],[new Date(“2017-09-10”),81.420,81.42],[new Date(“2017-09-11”),81.940,81.94],[new Date(“2017-09-12”),81.920,81.92],[new Date(“2017-09-13”),81.910,81.91],[new Date(“2017-09-14”),80.660,80.66],[new Date(“2017-09-15”),80.620,80.62],[new Date(“2017-09-16”),80.620,80.62],[new Date(“2017-09-17”),80.620,80.62],[new Date(“2017-09-18”),80.680,80.68],[new Date(“2017-09-19”),81.990,81.99],[new Date(“2017-09-20”),80.710,80.71],[new Date(“2017-09-21”),81.840,81.84],[new Date(“2017-09-22”),81.750,81.75],[new Date(“2017-09-23”),81.750,81.75],[new Date(“2017-09-24”),81.830,81.83],[new Date(“2017-09-25”),80.620,80.62],[new Date(“2017-09-26”),80.760,80.76],[new Date(“2017-09-27”),82.070,82.07],[new Date(“2017-09-28”),81.820,81.82],[new Date(“2017-09-29”),82.100,82.10],[new Date(“2017-09-30″),82.100,82.10],]);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, 2017

01      81.0900
02      80.6200
↗0.470, 0.58%
03      80.8600
↘0.240, 0.30%
04      80.8204
↗0.040, 0.05%
05      80.8204
→0.000, 0.00%
06      80.8202
↗0.000, 0.00%
07      80.6200
↗0.200, 0.25%
08      80.8300
↘0.210, 0.26%
09      80.7600
↗0.070, 0.09%
10      80.7400
↗0.020, 0.02%
11      80.7200
↗0.020, 0.02%
12      80.7200
→0.000, 0.00%
13      80.7200
→0.000, 0.00%
14      80.6600
↗0.060, 0.07%
15      80.6200
↗0.040, 0.05%
16      80.7800
↘0.160, 0.20%
17      81.0100
↘0.230, 0.28%
18      80.9700
↗0.040, 0.05%
19      80.9700
→0.000, 0.00%
20      80.9700
→0.000, 0.00%
21      81.1600
↘0.190, 0.23%
22      81.2000
↘0.040, 0.05%
23      81.0100
↗0.190, 0.23%
24      81.0600
↘0.050, 0.06%
25      81.0400
↗0.020, 0.02%
26      81.0400
→0.000, 0.00%
27      81.0400
→0.000, 0.00%
28      80.9900
↗0.050, 0.06%
29      81.0600
↘0.070, 0.09%
30      81.0400
↗0.020, 0.02%
31      80.6700
↗0.370, 0.46%
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(“2017-08-01”),81.090,81.09],[new Date(“2017-08-02”),80.620,80.62],[new Date(“2017-08-03”),80.860,80.86],[new Date(“2017-08-04”),80.820,80.82],[new Date(“2017-08-05”),80.820,80.82],[new Date(“2017-08-06”),80.820,80.82],[new Date(“2017-08-07”),80.620,80.62],[new Date(“2017-08-08”),80.830,80.83],[new Date(“2017-08-09”),80.760,80.76],[new Date(“2017-08-10”),80.740,80.74],[new Date(“2017-08-11”),80.720,80.72],[new Date(“2017-08-12”),80.720,80.72],[new Date(“2017-08-13”),80.720,80.72],[new Date(“2017-08-14”),80.660,80.66],[new Date(“2017-08-15”),80.620,80.62],[new Date(“2017-08-16”),80.780,80.78],[new Date(“2017-08-17”),81.010,81.01],[new Date(“2017-08-18”),80.970,80.97],[new Date(“2017-08-19”),80.970,80.97],[new Date(“2017-08-20”),80.970,80.97],[new Date(“2017-08-21”),81.160,81.16],[new Date(“2017-08-22”),81.200,81.20],[new Date(“2017-08-23”),81.010,81.01],[new Date(“2017-08-24”),81.060,81.06],[new Date(“2017-08-25”),81.040,81.04],[new Date(“2017-08-26”),81.040,81.04],[new Date(“2017-08-27”),81.040,81.04],[new Date(“2017-08-28”),80.990,80.99],[new Date(“2017-08-29”),81.060,81.06],[new Date(“2017-08-30”),81.040,81.04],[new Date(“2017-08-31″),80.670,80.67],]);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_8’));
chart.draw(data, options);
}

July, 2017

01      80.5600
02      80.5800
↘0.020, 0.02%
03      80.6900
↘0.110, 0.14%
04      80.5400
↗0.150, 0.19%
05      80.7700
↘0.230, 0.29%
06      81.0697
↘0.300, 0.37%
07      80.9400
↗0.130, 0.16%
08      80.9400
→0.000, 0.00%
09      81.0600
↘0.120, 0.15%
10      81.3100
↘0.250, 0.31%
11      81.2800
↗0.030, 0.04%
12      81.2600
↗0.020, 0.02%
13      81.2200
↗0.040, 0.05%
14      81.2000
↗0.020, 0.02%
15      81.2000
→0.000, 0.00%
16      81.2000
→0.000, 0.00%
17      80.7600
↗0.440, 0.54%
18      80.6100
↗0.150, 0.19%
19      80.6600
↘0.050, 0.06%
20      80.5900
↗0.070, 0.09%
21      80.5600
↗0.030, 0.04%
22      80.5600
→0.000, 0.00%
23      80.5600
→0.000, 0.00%
24      80.6600
↘0.100, 0.12%
25      80.6500
↗0.010, 0.01%
26      81.1400
↘0.490, 0.61%
27      80.5900
↗0.550, 0.68%
28      80.5600
↗0.030, 0.04%
29      80.5600
→0.000, 0.00%
30      80.5600
→0.000, 0.00%
31      81.1900
↘0.630, 0.78%
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(“2017-07-01”),80.560,80.56],[new Date(“2017-07-02”),80.580,80.58],[new Date(“2017-07-03”),80.690,80.69],[new Date(“2017-07-04”),80.540,80.54],[new Date(“2017-07-05”),80.770,80.77],[new Date(“2017-07-06”),81.070,81.07],[new Date(“2017-07-07”),80.940,80.94],[new Date(“2017-07-08”),80.940,80.94],[new Date(“2017-07-09”),81.060,81.06],[new Date(“2017-07-10”),81.310,81.31],[new Date(“2017-07-11”),81.280,81.28],[new Date(“2017-07-12”),81.260,81.26],[new Date(“2017-07-13”),81.220,81.22],[new Date(“2017-07-14”),81.200,81.20],[new Date(“2017-07-15”),81.200,81.20],[new Date(“2017-07-16”),81.200,81.20],[new Date(“2017-07-17”),80.760,80.76],[new Date(“2017-07-18”),80.610,80.61],[new Date(“2017-07-19”),80.660,80.66],[new Date(“2017-07-20”),80.590,80.59],[new Date(“2017-07-21”),80.560,80.56],[new Date(“2017-07-22”),80.560,80.56],[new Date(“2017-07-23”),80.560,80.56],[new Date(“2017-07-24”),80.660,80.66],[new Date(“2017-07-25”),80.650,80.65],[new Date(“2017-07-26”),81.140,81.14],[new Date(“2017-07-27”),80.590,80.59],[new Date(“2017-07-28”),80.560,80.56],[new Date(“2017-07-29”),80.560,80.56],[new Date(“2017-07-30”),80.560,80.56],[new Date(“2017-07-31″),81.190,81.19],]);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_7’));
chart.draw(data, options);
}

June, 2017

01      80.7000
02      80.7100
↘0.010, 0.01%
03      80.7100
→0.000, 0.00%
04      80.3415
↗0.368, 0.46%
05      80.6700
↘0.328, 0.41%
06      80.6900
↘0.020, 0.02%
07      80.7200
↘0.030, 0.04%
08      80.7200
→0.000, 0.00%
09      80.7700
↘0.050, 0.06%
10      80.7700
→0.000, 0.00%
11      80.7700
→0.000, 0.00%
12      80.6100
↗0.160, 0.20%
13      80.6801
↘0.070, 0.09%
14      80.7200
↘0.040, 0.05%
15      80.6900
↗0.030, 0.04%
16      80.7300
↘0.040, 0.05%
17      80.7300
→0.000, 0.00%
18      80.7300
→0.000, 0.00%
19      80.6700
↗0.060, 0.07%
20      80.6400
↗0.030, 0.04%
21      80.6802
↘0.040, 0.05%
22      80.6900
↘0.010, 0.01%
23      80.6900
→0.000, 0.00%
24      80.6900
→0.000, 0.00%
25      80.6900
→0.000, 0.00%
26      80.6900
→0.000, 0.00%
27      80.6900
→0.000, 0.00%
28      80.7200
↘0.030, 0.04%
29      80.6900
↗0.030, 0.04%
30      80.5600
↗0.130, 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(“2017-06-01”),80.700,80.70],[new Date(“2017-06-02”),80.710,80.71],[new Date(“2017-06-03”),80.710,80.71],[new Date(“2017-06-04”),80.342,80.34],[new Date(“2017-06-05”),80.670,80.67],[new Date(“2017-06-06”),80.690,80.69],[new Date(“2017-06-07”),80.720,80.72],[new Date(“2017-06-08”),80.720,80.72],[new Date(“2017-06-09”),80.770,80.77],[new Date(“2017-06-10”),80.770,80.77],[new Date(“2017-06-11”),80.770,80.77],[new Date(“2017-06-12”),80.610,80.61],[new Date(“2017-06-13”),80.680,80.68],[new Date(“2017-06-14”),80.720,80.72],[new Date(“2017-06-15”),80.690,80.69],[new Date(“2017-06-16”),80.730,80.73],[new Date(“2017-06-17”),80.730,80.73],[new Date(“2017-06-18”),80.730,80.73],[new Date(“2017-06-19”),80.670,80.67],[new Date(“2017-06-20”),80.640,80.64],[new Date(“2017-06-21”),80.680,80.68],[new Date(“2017-06-22”),80.690,80.69],[new Date(“2017-06-23”),80.690,80.69],[new Date(“2017-06-24”),80.690,80.69],[new Date(“2017-06-25”),80.690,80.69],[new Date(“2017-06-26”),80.690,80.69],[new Date(“2017-06-27”),80.690,80.69],[new Date(“2017-06-28”),80.720,80.72],[new Date(“2017-06-29”),80.690,80.69],[new Date(“2017-06-30″),80.560,80.56],]);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, 2017

01      82.1100
02      82.3100
↘0.200, 0.24%
03      82.5701
↘0.260, 0.32%
04      81.4600
↗1.110, 1.34%
05      81.4304
↗0.030, 0.04%
06      81.4304
→0.000, 0.00%
07      81.4400
↘0.010, 0.01%
08      81.4200
↗0.020, 0.02%
09      81.2200
↗0.200, 0.25%
10      81.1900
↗0.030, 0.04%
11      81.2900
↘0.100, 0.12%
12      81.2900
→0.000, 0.00%
13      81.2900
→0.000, 0.00%
14      81.2900
→0.000, 0.00%
15      81.2700
↗0.020, 0.02%
16      80.6200
↗0.650, 0.80%
17      80.6200
→0.000, 0.00%
18      80.6000
↗0.020, 0.02%
19      80.6200
↘0.020, 0.02%
20      80.6200
→0.000, 0.00%
21      80.6200
→0.000, 0.00%
22      80.5900
↗0.030, 0.04%
23      80.6000
↘0.010, 0.01%
24      80.6200
↘0.020, 0.02%
25      80.6600
↘0.040, 0.05%
26      80.6400
↗0.020, 0.02%
27      80.6400
→0.000, 0.00%
28      80.6400
→0.000, 0.00%
29      80.6500
↘0.010, 0.01%
30      80.6700
↘0.020, 0.02%
31      80.6700
→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(“2017-05-01”),82.110,82.11],[new Date(“2017-05-02”),82.310,82.31],[new Date(“2017-05-03”),82.570,82.57],[new Date(“2017-05-04”),81.460,81.46],[new Date(“2017-05-05”),81.430,81.43],[new Date(“2017-05-06”),81.430,81.43],[new Date(“2017-05-07”),81.440,81.44],[new Date(“2017-05-08”),81.420,81.42],[new Date(“2017-05-09”),81.220,81.22],[new Date(“2017-05-10”),81.190,81.19],[new Date(“2017-05-11”),81.290,81.29],[new Date(“2017-05-12”),81.290,81.29],[new Date(“2017-05-13”),81.290,81.29],[new Date(“2017-05-14”),81.290,81.29],[new Date(“2017-05-15”),81.270,81.27],[new Date(“2017-05-16”),80.620,80.62],[new Date(“2017-05-17”),80.620,80.62],[new Date(“2017-05-18”),80.600,80.60],[new Date(“2017-05-19”),80.620,80.62],[new Date(“2017-05-20”),80.620,80.62],[new Date(“2017-05-21”),80.620,80.62],[new Date(“2017-05-22”),80.590,80.59],[new Date(“2017-05-23”),80.600,80.60],[new Date(“2017-05-24”),80.620,80.62],[new Date(“2017-05-25”),80.660,80.66],[new Date(“2017-05-26”),80.640,80.64],[new Date(“2017-05-27”),80.640,80.64],[new Date(“2017-05-28”),80.640,80.64],[new Date(“2017-05-29”),80.650,80.65],[new Date(“2017-05-30”),80.670,80.67],[new Date(“2017-05-31″),80.670,80.67],]);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_5’));
chart.draw(data, options);
}

April, 2017

01      80.1900
02      80.2000
↘0.010, 0.01%
03      80.2400
↘0.040, 0.05%
04      80.2400
→0.000, 0.00%
05      80.3100
↘0.070, 0.09%
06      80.3202
↘0.010, 0.01%
07      80.3400
↘0.020, 0.02%
08      80.3400
→0.000, 0.00%
09      80.3400
→0.000, 0.00%
10      80.5100
↘0.170, 0.21%
11      80.6504
↘0.140, 0.17%
12      80.9100
↘0.260, 0.32%
13      80.8900
↗0.020, 0.02%
14      80.8700
↗0.020, 0.02%
15      80.8700
→0.000, 0.00%
16      80.8700
→0.000, 0.00%
17      80.8197
↗0.050, 0.06%
18      81.6300
↘0.810, 1.00%
19      81.7600
↘0.130, 0.16%
20      82.6600
↘0.900, 1.10%
21      82.6804
↘0.020, 0.02%
22      82.6804
→0.000, 0.00%
23      82.6798
↗0.001, 0.00%
24      82.8100
↘0.130, 0.16%
25      83.4998
↘0.690, 0.83%
26      84.1100
↘0.610, 0.73%
27      82.2600
↗1.850, 2.20%
28      82.0900
↗0.170, 0.21%
29      82.0900
→0.000, 0.00%
30      82.0900
→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(“2017-04-01”),80.190,80.19],[new Date(“2017-04-02”),80.200,80.20],[new Date(“2017-04-03”),80.240,80.24],[new Date(“2017-04-04”),80.240,80.24],[new Date(“2017-04-05”),80.310,80.31],[new Date(“2017-04-06”),80.320,80.32],[new Date(“2017-04-07”),80.340,80.34],[new Date(“2017-04-08”),80.340,80.34],[new Date(“2017-04-09”),80.340,80.34],[new Date(“2017-04-10”),80.510,80.51],[new Date(“2017-04-11”),80.650,80.65],[new Date(“2017-04-12”),80.910,80.91],[new Date(“2017-04-13”),80.890,80.89],[new Date(“2017-04-14”),80.870,80.87],[new Date(“2017-04-15”),80.870,80.87],[new Date(“2017-04-16”),80.870,80.87],[new Date(“2017-04-17”),80.820,80.82],[new Date(“2017-04-18”),81.630,81.63],[new Date(“2017-04-19”),81.760,81.76],[new Date(“2017-04-20”),82.660,82.66],[new Date(“2017-04-21”),82.680,82.68],[new Date(“2017-04-22”),82.680,82.68],[new Date(“2017-04-23”),82.680,82.68],[new Date(“2017-04-24”),82.810,82.81],[new Date(“2017-04-25”),83.500,83.50],[new Date(“2017-04-26”),84.110,84.11],[new Date(“2017-04-27”),82.260,82.26],[new Date(“2017-04-28”),82.090,82.09],[new Date(“2017-04-29”),82.090,82.09],[new Date(“2017-04-30″),82.090,82.09],]);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, 2017

01      79.9400
02      79.8500
↗0.090, 0.11%
03      79.9900
↘0.140, 0.18%
04      79.9900
→0.000, 0.00%
05      80.0100
↘0.020, 0.03%
06      80.0600
↘0.050, 0.06%
07      80.0600
→0.000, 0.00%
08      80.1300
↘0.070, 0.09%
09      80.1200
↗0.010, 0.01%
10      80.0900
↗0.030, 0.04%
11      80.0900
→0.000, 0.00%
12      80.1100
↘0.020, 0.02%
13      80.1600
↘0.050, 0.06%
14      80.1600
→0.000, 0.00%
15      80.2400
↘0.080, 0.10%
16      79.5100
↗0.730, 0.91%
17      80.1300
↘0.620, 0.78%
18      80.1300
→0.000, 0.00%
19      80.1300
→0.000, 0.00%
20      80.1100
↗0.020, 0.02%
21      80.1200
↘0.010, 0.01%
22      80.1801
↘0.060, 0.07%
23      80.1802
↘0.000, 0.00%
24      80.1900
↘0.010, 0.01%
25      80.1900
→0.000, 0.00%
26      80.1900
→0.000, 0.00%
27      80.1797
↗0.010, 0.01%
28      80.1900
↘0.010, 0.01%
29      80.2200
↘0.030, 0.04%
30      80.2200
→0.000, 0.00%
31      80.1900
↗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(“2017-03-01”),79.940,79.94],[new Date(“2017-03-02”),79.850,79.85],[new Date(“2017-03-03”),79.990,79.99],[new Date(“2017-03-04”),79.990,79.99],[new Date(“2017-03-05”),80.010,80.01],[new Date(“2017-03-06”),80.060,80.06],[new Date(“2017-03-07”),80.060,80.06],[new Date(“2017-03-08”),80.130,80.13],[new Date(“2017-03-09”),80.120,80.12],[new Date(“2017-03-10”),80.090,80.09],[new Date(“2017-03-11”),80.090,80.09],[new Date(“2017-03-12”),80.110,80.11],[new Date(“2017-03-13”),80.160,80.16],[new Date(“2017-03-14”),80.160,80.16],[new Date(“2017-03-15”),80.240,80.24],[new Date(“2017-03-16”),79.510,79.51],[new Date(“2017-03-17”),80.130,80.13],[new Date(“2017-03-18”),80.130,80.13],[new Date(“2017-03-19”),80.130,80.13],[new Date(“2017-03-20”),80.110,80.11],[new Date(“2017-03-21”),80.120,80.12],[new Date(“2017-03-22”),80.180,80.18],[new Date(“2017-03-23”),80.180,80.18],[new Date(“2017-03-24”),80.190,80.19],[new Date(“2017-03-25”),80.190,80.19],[new Date(“2017-03-26”),80.190,80.19],[new Date(“2017-03-27”),80.180,80.18],[new Date(“2017-03-28”),80.190,80.19],[new Date(“2017-03-29”),80.220,80.22],[new Date(“2017-03-30”),80.220,80.22],[new Date(“2017-03-31″),80.190,80.19],]);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_3’));
chart.draw(data, options);
}

February, 2017

01      79.4900
02      79.4900
→0.000, 0.00%
03      79.5400
↘0.050, 0.06%
04      79.5400
→0.000, 0.00%
05      79.5400
→0.000, 0.00%
06      79.5400
→0.000, 0.00%
07      79.5300
↗0.010, 0.01%
08      79.5600
↘0.030, 0.04%
09      79.6600
↘0.100, 0.13%
10      79.6600
→0.000, 0.00%
11      79.6600
→0.000, 0.00%
12      79.6600
→0.000, 0.00%
13      79.8100
↘0.150, 0.19%
14      79.7700
↗0.040, 0.05%
15      80.1300
↘0.360, 0.45%
16      80.1100
↗0.020, 0.02%
17      80.0900
↗0.020, 0.02%
18      80.0900
→0.000, 0.00%
19      80.0900
→0.000, 0.00%
20      80.0697
↗0.020, 0.03%
21      80.0200
↗0.050, 0.06%
22      79.9700
↗0.050, 0.06%
23      79.7600
↗0.210, 0.26%
24      79.7600
→0.000, 0.00%
25      79.7600
→0.000, 0.00%
26      79.7600
→0.000, 0.00%
27      79.8600
↘0.100, 0.13%
28      79.5600
↗0.300, 0.38%
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(“2017-02-01”),79.490,79.49],[new Date(“2017-02-02”),79.490,79.49],[new Date(“2017-02-03”),79.540,79.54],[new Date(“2017-02-04”),79.540,79.54],[new Date(“2017-02-05”),79.540,79.54],[new Date(“2017-02-06”),79.540,79.54],[new Date(“2017-02-07”),79.530,79.53],[new Date(“2017-02-08”),79.560,79.56],[new Date(“2017-02-09”),79.660,79.66],[new Date(“2017-02-10”),79.660,79.66],[new Date(“2017-02-11”),79.660,79.66],[new Date(“2017-02-12”),79.660,79.66],[new Date(“2017-02-13”),79.810,79.81],[new Date(“2017-02-14”),79.770,79.77],[new Date(“2017-02-15”),80.130,80.13],[new Date(“2017-02-16”),80.110,80.11],[new Date(“2017-02-17”),80.090,80.09],[new Date(“2017-02-18”),80.090,80.09],[new Date(“2017-02-19”),80.090,80.09],[new Date(“2017-02-20”),80.070,80.07],[new Date(“2017-02-21”),80.020,80.02],[new Date(“2017-02-22”),79.970,79.97],[new Date(“2017-02-23”),79.760,79.76],[new Date(“2017-02-24”),79.760,79.76],[new Date(“2017-02-25”),79.760,79.76],[new Date(“2017-02-26”),79.760,79.76],[new Date(“2017-02-27”),79.860,79.86],[new Date(“2017-02-28″),79.560,79.56],]);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, 2017

01      78.9100
02      78.8900
↗0.020, 0.03%
03      78.9200
↘0.030, 0.04%
04      79.0500
↘0.130, 0.16%
05      79.0600
↘0.010, 0.01%
06      79.0704
↘0.010, 0.01%
07      79.0704
→0.000, 0.00%
08      79.0600
↗0.010, 0.01%
09      79.1200
↘0.060, 0.08%
10      79.1600
↘0.040, 0.05%
11      79.1300
↗0.030, 0.04%
12      79.2100
↘0.080, 0.10%
13      79.1700
↗0.040, 0.05%
14      79.1700
→0.000, 0.00%
15      79.1700
→0.000, 0.00%
16      79.1500
↗0.020, 0.03%
17      79.0900
↗0.060, 0.08%
18      79.2200
↘0.130, 0.16%
19      79.3300
↘0.110, 0.14%
20      79.1900
↗0.140, 0.18%
21      79.1900
→0.000, 0.00%
22      79.2300
↘0.040, 0.05%
23      79.3100
↘0.080, 0.10%
24      79.3600
↘0.050, 0.06%
25      79.3800
↘0.020, 0.03%
26      79.3600
↗0.020, 0.03%
27      79.3204
↗0.040, 0.05%
28      79.3204
→0.000, 0.00%
29      79.3100
↗0.010, 0.01%
30      79.4600
↘0.150, 0.19%
31      79.4800
↘0.020, 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(“2017-01-01”),78.910,78.91],[new Date(“2017-01-02”),78.890,78.89],[new Date(“2017-01-03”),78.920,78.92],[new Date(“2017-01-04”),79.050,79.05],[new Date(“2017-01-05”),79.060,79.06],[new Date(“2017-01-06”),79.070,79.07],[new Date(“2017-01-07”),79.070,79.07],[new Date(“2017-01-08”),79.060,79.06],[new Date(“2017-01-09”),79.120,79.12],[new Date(“2017-01-10”),79.160,79.16],[new Date(“2017-01-11”),79.130,79.13],[new Date(“2017-01-12”),79.210,79.21],[new Date(“2017-01-13”),79.170,79.17],[new Date(“2017-01-14”),79.170,79.17],[new Date(“2017-01-15”),79.170,79.17],[new Date(“2017-01-16”),79.150,79.15],[new Date(“2017-01-17”),79.090,79.09],[new Date(“2017-01-18”),79.220,79.22],[new Date(“2017-01-19”),79.330,79.33],[new Date(“2017-01-20”),79.190,79.19],[new Date(“2017-01-21”),79.190,79.19],[new Date(“2017-01-22”),79.230,79.23],[new Date(“2017-01-23”),79.310,79.31],[new Date(“2017-01-24”),79.360,79.36],[new Date(“2017-01-25”),79.380,79.38],[new Date(“2017-01-26”),79.360,79.36],[new Date(“2017-01-27”),79.320,79.32],[new Date(“2017-01-28”),79.320,79.32],[new Date(“2017-01-29”),79.310,79.31],[new Date(“2017-01-30”),79.460,79.46],[new Date(“2017-01-31″),79.480,79.48],]);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);
}