Bangladeshi Taka BDT 2016 Conversion Rates

  • Opening Value is 78.509791 BDT per Dollar
  • Closing Value is 78.910004 BDT per Dollar
  • Change in Value during 2016 is 0.4002 which is 0.51%
  • Best Performance is on 2016-03-12 with 77.886460 BDT per Dollar
  • Lowest Performance is on 2016-12-08,2016-12-09,2016-12-10 with 79.580002 BDT per Dollar
  • Average Value is 78.5049 BDT per Dollar
  • Swing Between the higest and the lowest is 1.6935 per Dollar, that is 2.16% compared to the opening value.

USD to BDT Conversion Rates – 12 months

Date 1 USD =
2016-12-31 78.9100 BDT
2016-11-30 79.2200 BDT
2016-10-31 78.3000 BDT
2016-09-30 78.4304 BDT
2016-08-31 78.3500 BDT
2016-07-31 78.3300 BDT
2016-06-30 78.5128 BDT
2016-05-31 78.6105 BDT
2016-04-30 78.4157 BDT
2016-03-31 78.4096 BDT
2016-02-29 78.4551 BDT
2016-01-31 78.9642 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(“2016-12-31”),78.910,78.91],[new Date(“2016-11-30”),79.220,79.22],[new Date(“2016-10-31”),78.300,78.30],[new Date(“2016-09-30”),78.430,78.43],[new Date(“2016-08-31”),78.350,78.35],[new Date(“2016-07-31”),78.330,78.33],[new Date(“2016-06-30”),78.513,78.51],[new Date(“2016-05-31”),78.610,78.61],[new Date(“2016-04-30”),78.416,78.42],[new Date(“2016-03-31”),78.410,78.41],[new Date(“2016-02-29”),78.455,78.46],[new Date(“2016-01-31”),78.964,78.96],]);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, 2016

01      79.4800
02      79.4700
↗0.010, 0.01%
03      79.4700
→0.000, 0.00%
04      79.4700
→0.000, 0.00%
05      79.4200
↗0.050, 0.06%
06      79.5200
↘0.100, 0.13%
07      79.5300
↘0.010, 0.01%
08      79.5800
↘0.050, 0.06%
09      79.5800
→0.000, 0.00%
10      79.5800
→0.000, 0.00%
11      79.5700
↗0.010, 0.01%
12      79.2400
↗0.330, 0.41%
13      79.2400
→0.000, 0.00%
14      79.3400
↘0.100, 0.13%
15      79.4700
↘0.130, 0.16%
16      79.2800
↗0.190, 0.24%
17      79.2800
→0.000, 0.00%
18      79.2900
↘0.010, 0.01%
19      79.1400
↗0.150, 0.19%
20      78.5600
↗0.580, 0.73%
21      78.9900
↘0.430, 0.55%
22      78.9400
↗0.050, 0.06%
23      78.9500
↘0.010, 0.01%
24      78.9500
→0.000, 0.00%
25      78.9500
→0.000, 0.00%
26      78.9400
↗0.010, 0.01%
27      78.9100
↗0.030, 0.04%
28      78.9200
↘0.010, 0.01%
29      78.8700
↗0.050, 0.06%
30      78.9100
↘0.040, 0.05%
31      78.9100
→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(“2016-12-01”),79.480,79.48],[new Date(“2016-12-02”),79.470,79.47],[new Date(“2016-12-03”),79.470,79.47],[new Date(“2016-12-04”),79.470,79.47],[new Date(“2016-12-05”),79.420,79.42],[new Date(“2016-12-06”),79.520,79.52],[new Date(“2016-12-07”),79.530,79.53],[new Date(“2016-12-08”),79.580,79.58],[new Date(“2016-12-09”),79.580,79.58],[new Date(“2016-12-10”),79.580,79.58],[new Date(“2016-12-11”),79.570,79.57],[new Date(“2016-12-12”),79.240,79.24],[new Date(“2016-12-13”),79.240,79.24],[new Date(“2016-12-14”),79.340,79.34],[new Date(“2016-12-15”),79.470,79.47],[new Date(“2016-12-16”),79.280,79.28],[new Date(“2016-12-17”),79.280,79.28],[new Date(“2016-12-18”),79.290,79.29],[new Date(“2016-12-19”),79.140,79.14],[new Date(“2016-12-20”),78.560,78.56],[new Date(“2016-12-21”),78.990,78.99],[new Date(“2016-12-22”),78.940,78.94],[new Date(“2016-12-23”),78.950,78.95],[new Date(“2016-12-24”),78.950,78.95],[new Date(“2016-12-25”),78.950,78.95],[new Date(“2016-12-26”),78.940,78.94],[new Date(“2016-12-27”),78.910,78.91],[new Date(“2016-12-28”),78.920,78.92],[new Date(“2016-12-29”),78.870,78.87],[new Date(“2016-12-30”),78.910,78.91],[new Date(“2016-12-31″),78.910,78.91],]);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_12’));
chart.draw(data, options);
}

November, 2016

01      78.5500
02      78.4800
↗0.070, 0.09%
03      78.4800
→0.000, 0.00%
04      78.4000
↗0.080, 0.10%
05      78.4000
→0.000, 0.00%
06      78.4000
→0.000, 0.00%
07      78.5020
↘0.102, 0.13%
08      78.5703
↘0.068, 0.09%
09      78.4500
↗0.120, 0.15%
10      78.5200
↘0.070, 0.09%
11      78.4400
↗0.080, 0.10%
12      78.4400
→0.000, 0.00%
13      78.4400
→0.000, 0.00%
14      78.8000
↘0.360, 0.46%
15      78.7506
↗0.049, 0.06%
16      78.7300
↗0.021, 0.03%
17      78.7200
↗0.010, 0.01%
18      78.7504
↘0.030, 0.04%
19      78.7504
→0.000, 0.00%
20      78.7500
↗0.000, 0.00%
21      79.0800
↘0.330, 0.42%
22      79.0500
↗0.030, 0.04%
23      79.1802
↘0.130, 0.16%
24      79.1800
↗0.000, 0.00%
25      79.1500
↗0.030, 0.04%
26      79.1500
→0.000, 0.00%
27      79.1500
→0.000, 0.00%
28      79.1700
↘0.020, 0.03%
29      79.2300
↘0.060, 0.08%
30      79.2200
↗0.010, 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(“2016-11-01”),78.550,78.55],[new Date(“2016-11-02”),78.480,78.48],[new Date(“2016-11-03”),78.480,78.48],[new Date(“2016-11-04”),78.400,78.40],[new Date(“2016-11-05”),78.400,78.40],[new Date(“2016-11-06”),78.400,78.40],[new Date(“2016-11-07”),78.502,78.50],[new Date(“2016-11-08”),78.570,78.57],[new Date(“2016-11-09”),78.450,78.45],[new Date(“2016-11-10”),78.520,78.52],[new Date(“2016-11-11”),78.440,78.44],[new Date(“2016-11-12”),78.440,78.44],[new Date(“2016-11-13”),78.440,78.44],[new Date(“2016-11-14”),78.800,78.80],[new Date(“2016-11-15”),78.751,78.75],[new Date(“2016-11-16”),78.730,78.73],[new Date(“2016-11-17”),78.720,78.72],[new Date(“2016-11-18”),78.750,78.75],[new Date(“2016-11-19”),78.750,78.75],[new Date(“2016-11-20”),78.750,78.75],[new Date(“2016-11-21”),79.080,79.08],[new Date(“2016-11-22”),79.050,79.05],[new Date(“2016-11-23”),79.180,79.18],[new Date(“2016-11-24”),79.180,79.18],[new Date(“2016-11-25”),79.150,79.15],[new Date(“2016-11-26”),79.150,79.15],[new Date(“2016-11-27”),79.150,79.15],[new Date(“2016-11-28”),79.170,79.17],[new Date(“2016-11-29”),79.230,79.23],[new Date(“2016-11-30″),79.220,79.22],]);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, 2016

01      78.4304
02      78.4300
↗0.000, 0.00%
03      78.4000
↗0.030, 0.04%
04      78.4100
↘0.010, 0.01%
05      78.3700
↗0.040, 0.05%
06      78.3500
↗0.020, 0.03%
07      78.3204
↗0.030, 0.04%
08      78.3204
→0.000, 0.00%
09      78.3202
↗0.000, 0.00%
10      78.3800
↘0.060, 0.08%
11      78.3300
↗0.050, 0.06%
12      78.3300
→0.000, 0.00%
13      78.3000
↗0.030, 0.04%
14      78.3300
↘0.030, 0.04%
15      78.3300
→0.000, 0.00%
16      78.3300
→0.000, 0.00%
17      78.3800
↘0.050, 0.06%
18      78.4299
↘0.050, 0.06%
19      78.3500
↗0.080, 0.10%
20      78.3500
→0.000, 0.00%
21      78.2800
↗0.070, 0.09%
22      78.2800
→0.000, 0.00%
23      78.2800
→0.000, 0.00%
24      78.4000
↘0.120, 0.15%
25      78.3900
↗0.010, 0.01%
26      78.2499
↗0.140, 0.18%
27      78.4295
↘0.180, 0.23%
28      78.3300
↗0.100, 0.13%
29      78.3300
→0.000, 0.00%
30      78.3300
→0.000, 0.00%
31      78.3000
↗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(“2016-10-01”),78.430,78.43],[new Date(“2016-10-02”),78.430,78.43],[new Date(“2016-10-03”),78.400,78.40],[new Date(“2016-10-04”),78.410,78.41],[new Date(“2016-10-05”),78.370,78.37],[new Date(“2016-10-06”),78.350,78.35],[new Date(“2016-10-07”),78.320,78.32],[new Date(“2016-10-08”),78.320,78.32],[new Date(“2016-10-09”),78.320,78.32],[new Date(“2016-10-10”),78.380,78.38],[new Date(“2016-10-11”),78.330,78.33],[new Date(“2016-10-12”),78.330,78.33],[new Date(“2016-10-13”),78.300,78.30],[new Date(“2016-10-14”),78.330,78.33],[new Date(“2016-10-15”),78.330,78.33],[new Date(“2016-10-16”),78.330,78.33],[new Date(“2016-10-17”),78.380,78.38],[new Date(“2016-10-18”),78.430,78.43],[new Date(“2016-10-19”),78.350,78.35],[new Date(“2016-10-20”),78.350,78.35],[new Date(“2016-10-21”),78.280,78.28],[new Date(“2016-10-22”),78.280,78.28],[new Date(“2016-10-23”),78.280,78.28],[new Date(“2016-10-24”),78.400,78.40],[new Date(“2016-10-25”),78.390,78.39],[new Date(“2016-10-26”),78.250,78.25],[new Date(“2016-10-27”),78.430,78.43],[new Date(“2016-10-28”),78.330,78.33],[new Date(“2016-10-29”),78.330,78.33],[new Date(“2016-10-30”),78.330,78.33],[new Date(“2016-10-31″),78.300,78.30],]);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, 2016

01      78.3300
02      78.2800
↗0.050, 0.06%
03      78.2800
→0.000, 0.00%
04      78.2300
↗0.050, 0.06%
05      78.2300
→0.000, 0.00%
06      78.2600
↘0.030, 0.04%
07      78.3500
↘0.090, 0.11%
08      78.3000
↗0.050, 0.06%
09      78.3000
→0.000, 0.00%
10      78.3000
→0.000, 0.00%
11      78.3000
→0.000, 0.00%
12      78.2502
↗0.050, 0.06%
13      78.2600
↘0.010, 0.01%
14      78.2497
↗0.010, 0.01%
15      78.3600
↘0.110, 0.14%
16      78.2900
↗0.070, 0.09%
17      78.2900
→0.000, 0.00%
18      78.2900
→0.000, 0.00%
19      78.3800
↘0.090, 0.11%
20      78.3000
↗0.080, 0.10%
21      78.3300
↘0.030, 0.04%
22      78.4400
↘0.110, 0.14%
23      78.4304
↗0.010, 0.01%
24      78.4304
→0.000, 0.00%
25      78.4298
↗0.001, 0.00%
26      78.4000
↗0.030, 0.04%
27      78.4500
↘0.050, 0.06%
28      78.4700
↘0.020, 0.03%
29      78.4500
↗0.020, 0.03%
30      78.4304
↗0.020, 0.02%
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(“2016-09-01”),78.330,78.33],[new Date(“2016-09-02”),78.280,78.28],[new Date(“2016-09-03”),78.280,78.28],[new Date(“2016-09-04”),78.230,78.23],[new Date(“2016-09-05”),78.230,78.23],[new Date(“2016-09-06”),78.260,78.26],[new Date(“2016-09-07”),78.350,78.35],[new Date(“2016-09-08”),78.300,78.30],[new Date(“2016-09-09”),78.300,78.30],[new Date(“2016-09-10”),78.300,78.30],[new Date(“2016-09-11”),78.300,78.30],[new Date(“2016-09-12”),78.250,78.25],[new Date(“2016-09-13”),78.260,78.26],[new Date(“2016-09-14”),78.250,78.25],[new Date(“2016-09-15”),78.360,78.36],[new Date(“2016-09-16”),78.290,78.29],[new Date(“2016-09-17”),78.290,78.29],[new Date(“2016-09-18”),78.290,78.29],[new Date(“2016-09-19”),78.380,78.38],[new Date(“2016-09-20”),78.300,78.30],[new Date(“2016-09-21”),78.330,78.33],[new Date(“2016-09-22”),78.440,78.44],[new Date(“2016-09-23”),78.430,78.43],[new Date(“2016-09-24”),78.430,78.43],[new Date(“2016-09-25”),78.430,78.43],[new Date(“2016-09-26”),78.400,78.40],[new Date(“2016-09-27”),78.450,78.45],[new Date(“2016-09-28”),78.470,78.47],[new Date(“2016-09-29”),78.450,78.45],[new Date(“2016-09-30″),78.430,78.43],]);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, 2016

01      78.2800
02      78.2300
↗0.050, 0.06%
03      78.3500
↘0.120, 0.15%
04      78.3197
↗0.030, 0.04%
05      78.3100
↗0.010, 0.01%
06      78.3100
→0.000, 0.00%
07      78.3100
→0.000, 0.00%
08      78.3000
↗0.010, 0.01%
09      78.3197
↘0.020, 0.03%
10      78.3000
↗0.020, 0.03%
11      78.3300
↘0.030, 0.04%
12      78.2700
↗0.060, 0.08%
13      78.2700
→0.000, 0.00%
14      78.2700
→0.000, 0.00%
15      78.2800
↘0.010, 0.01%
16      78.3000
↘0.020, 0.03%
17      78.2800
↗0.020, 0.03%
18      78.2700
↗0.010, 0.01%
19      78.2600
↗0.010, 0.01%
20      78.2600
→0.000, 0.00%
21      78.2600
→0.000, 0.00%
22      78.3000
↘0.040, 0.05%
23      78.3100
↘0.010, 0.01%
24      78.3600
↘0.050, 0.06%
25      78.2700
↗0.090, 0.11%
26      78.2700
→0.000, 0.00%
27      78.2700
→0.000, 0.00%
28      78.2700
→0.000, 0.00%
29      78.3800
↘0.110, 0.14%
30      78.2502
↗0.130, 0.17%
31      78.3500
↘0.100, 0.13%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-08-01”),78.280,78.28],[new Date(“2016-08-02”),78.230,78.23],[new Date(“2016-08-03”),78.350,78.35],[new Date(“2016-08-04”),78.320,78.32],[new Date(“2016-08-05”),78.310,78.31],[new Date(“2016-08-06”),78.310,78.31],[new Date(“2016-08-07”),78.310,78.31],[new Date(“2016-08-08”),78.300,78.30],[new Date(“2016-08-09”),78.320,78.32],[new Date(“2016-08-10”),78.300,78.30],[new Date(“2016-08-11”),78.330,78.33],[new Date(“2016-08-12”),78.270,78.27],[new Date(“2016-08-13”),78.270,78.27],[new Date(“2016-08-14”),78.270,78.27],[new Date(“2016-08-15”),78.280,78.28],[new Date(“2016-08-16”),78.300,78.30],[new Date(“2016-08-17”),78.280,78.28],[new Date(“2016-08-18”),78.270,78.27],[new Date(“2016-08-19”),78.260,78.26],[new Date(“2016-08-20”),78.260,78.26],[new Date(“2016-08-21”),78.260,78.26],[new Date(“2016-08-22”),78.300,78.30],[new Date(“2016-08-23”),78.310,78.31],[new Date(“2016-08-24”),78.360,78.36],[new Date(“2016-08-25”),78.270,78.27],[new Date(“2016-08-26”),78.270,78.27],[new Date(“2016-08-27”),78.270,78.27],[new Date(“2016-08-28”),78.270,78.27],[new Date(“2016-08-29”),78.380,78.38],[new Date(“2016-08-30”),78.250,78.25],[new Date(“2016-08-31″),78.350,78.35],]);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, 2016

01      78.2661
02      78.3279
↘0.062, 0.08%
03      78.2622
↗0.066, 0.08%
04      78.2148
↗0.047, 0.06%
05      78.5435
↘0.329, 0.42%
06      78.2147
↗0.329, 0.42%
07      78.4311
↘0.216, 0.28%
08      78.3117
↗0.119, 0.15%
09      78.3378
↘0.026, 0.03%
10      78.3789
↘0.041, 0.05%
11      78.3819
↘0.003, 0.00%
12      78.4636
↘0.082, 0.10%
13      78.3609
↗0.103, 0.13%
14      78.4027
↘0.042, 0.05%
15      78.2800
↗0.123, 0.16%
16      78.2800
→0.000, 0.00%
17      78.2800
→0.000, 0.00%
18      78.3800
↘0.100, 0.13%
19      78.4000
↘0.020, 0.03%
20      78.4300
↘0.030, 0.04%
21      78.3900
↗0.040, 0.05%
22      78.3300
↗0.060, 0.08%
23      78.3300
→0.000, 0.00%
24      78.3300
→0.000, 0.00%
25      78.3800
↘0.050, 0.06%
26      78.3300
↗0.050, 0.06%
27      78.3800
↘0.050, 0.06%
28      78.3900
↘0.010, 0.01%
29      78.3300
↗0.060, 0.08%
30      78.3300
→0.000, 0.00%
31      78.3300
→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(“2016-07-01”),78.266,78.27],[new Date(“2016-07-02”),78.328,78.33],[new Date(“2016-07-03”),78.262,78.26],[new Date(“2016-07-04”),78.215,78.21],[new Date(“2016-07-05”),78.543,78.54],[new Date(“2016-07-06”),78.215,78.21],[new Date(“2016-07-07”),78.431,78.43],[new Date(“2016-07-08”),78.312,78.31],[new Date(“2016-07-09”),78.338,78.34],[new Date(“2016-07-10”),78.379,78.38],[new Date(“2016-07-11”),78.382,78.38],[new Date(“2016-07-12”),78.464,78.46],[new Date(“2016-07-13”),78.361,78.36],[new Date(“2016-07-14”),78.403,78.40],[new Date(“2016-07-15”),78.280,78.28],[new Date(“2016-07-16”),78.280,78.28],[new Date(“2016-07-17”),78.280,78.28],[new Date(“2016-07-18”),78.380,78.38],[new Date(“2016-07-19”),78.400,78.40],[new Date(“2016-07-20”),78.430,78.43],[new Date(“2016-07-21”),78.390,78.39],[new Date(“2016-07-22”),78.330,78.33],[new Date(“2016-07-23”),78.330,78.33],[new Date(“2016-07-24”),78.330,78.33],[new Date(“2016-07-25”),78.380,78.38],[new Date(“2016-07-26”),78.330,78.33],[new Date(“2016-07-27”),78.380,78.38],[new Date(“2016-07-28”),78.390,78.39],[new Date(“2016-07-29”),78.330,78.33],[new Date(“2016-07-30”),78.330,78.33],[new Date(“2016-07-31″),78.330,78.33],]);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, 2016

01      78.5932
02      78.7977
↘0.204, 0.26%
03      78.5525
↗0.245, 0.31%
04      78.6013
↘0.049, 0.06%
05      78.5904
↗0.011, 0.01%
06      78.5639
↗0.027, 0.03%
07      78.4338
↗0.130, 0.17%
08      78.5295
↘0.096, 0.12%
09      78.5381
↘0.009, 0.01%
10      78.6206
↘0.083, 0.11%
11      78.6749
↘0.054, 0.07%
12      78.6427
↗0.032, 0.04%
13      78.6774
↘0.035, 0.04%
14      78.5692
↗0.108, 0.14%
15      78.3494
↗0.220, 0.28%
16      78.6384
↘0.289, 0.37%
17      78.4928
↗0.146, 0.19%
18      78.4748
↗0.018, 0.02%
19      78.3995
↗0.075, 0.10%
20      78.4598
↘0.060, 0.08%
21      78.6621
↘0.202, 0.26%
22      78.2130
↗0.449, 0.57%
23      78.4847
↘0.272, 0.35%
24      78.3014
↗0.183, 0.23%
25      78.3161
↘0.015, 0.02%
26      78.1483
↗0.168, 0.21%
27      78.3340
↘0.186, 0.24%
28      78.5024
↘0.168, 0.22%
29      78.3819
↗0.120, 0.15%
30      78.5128
↘0.131, 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(“2016-06-01”),78.593,78.59],[new Date(“2016-06-02”),78.798,78.80],[new Date(“2016-06-03”),78.552,78.55],[new Date(“2016-06-04”),78.601,78.60],[new Date(“2016-06-05”),78.590,78.59],[new Date(“2016-06-06”),78.564,78.56],[new Date(“2016-06-07”),78.434,78.43],[new Date(“2016-06-08”),78.529,78.53],[new Date(“2016-06-09”),78.538,78.54],[new Date(“2016-06-10”),78.621,78.62],[new Date(“2016-06-11”),78.675,78.67],[new Date(“2016-06-12”),78.643,78.64],[new Date(“2016-06-13”),78.677,78.68],[new Date(“2016-06-14”),78.569,78.57],[new Date(“2016-06-15”),78.349,78.35],[new Date(“2016-06-16”),78.638,78.64],[new Date(“2016-06-17”),78.493,78.49],[new Date(“2016-06-18”),78.475,78.47],[new Date(“2016-06-19”),78.400,78.40],[new Date(“2016-06-20”),78.460,78.46],[new Date(“2016-06-21”),78.662,78.66],[new Date(“2016-06-22”),78.213,78.21],[new Date(“2016-06-23”),78.485,78.48],[new Date(“2016-06-24”),78.301,78.30],[new Date(“2016-06-25”),78.316,78.32],[new Date(“2016-06-26”),78.148,78.15],[new Date(“2016-06-27”),78.334,78.33],[new Date(“2016-06-28”),78.502,78.50],[new Date(“2016-06-29”),78.382,78.38],[new Date(“2016-06-30″),78.513,78.51],]);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, 2016

01      78.3256
02      78.4332
↘0.108, 0.14%
03      78.3634
↗0.070, 0.09%
04      78.3483
↗0.015, 0.02%
05      78.5368
↘0.189, 0.24%
06      78.3929
↗0.144, 0.18%
07      78.4048
↘0.012, 0.02%
08      78.4013
↗0.004, 0.00%
09      78.3797
↗0.022, 0.03%
10      78.4065
↘0.027, 0.03%
11      78.3622
↗0.044, 0.06%
12      78.3124
↗0.050, 0.06%
13      78.5133
↘0.201, 0.26%
14      78.5828
↘0.069, 0.09%
15      78.5891
↘0.006, 0.01%
16      78.6624
↘0.073, 0.09%
17      78.6009
↗0.062, 0.08%
18      78.5687
↗0.032, 0.04%
19      78.5951
↘0.026, 0.03%
20      78.6342
↘0.039, 0.05%
21      78.6007
↗0.034, 0.04%
22      78.5654
↗0.035, 0.04%
23      78.5791
↘0.014, 0.02%
24      78.5751
↗0.004, 0.01%
25      78.5837
↘0.009, 0.01%
26      78.6199
↘0.036, 0.05%
27      78.5709
↗0.049, 0.06%
28      78.5705
↗0.000, 0.00%
29      78.5823
↘0.012, 0.02%
30      78.5990
↘0.017, 0.02%
31      78.6105
↘0.012, 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(“2016-05-01”),78.326,78.33],[new Date(“2016-05-02”),78.433,78.43],[new Date(“2016-05-03”),78.363,78.36],[new Date(“2016-05-04”),78.348,78.35],[new Date(“2016-05-05”),78.537,78.54],[new Date(“2016-05-06”),78.393,78.39],[new Date(“2016-05-07”),78.405,78.40],[new Date(“2016-05-08”),78.401,78.40],[new Date(“2016-05-09”),78.380,78.38],[new Date(“2016-05-10”),78.406,78.41],[new Date(“2016-05-11”),78.362,78.36],[new Date(“2016-05-12”),78.312,78.31],[new Date(“2016-05-13”),78.513,78.51],[new Date(“2016-05-14”),78.583,78.58],[new Date(“2016-05-15”),78.589,78.59],[new Date(“2016-05-16”),78.662,78.66],[new Date(“2016-05-17”),78.601,78.60],[new Date(“2016-05-18”),78.569,78.57],[new Date(“2016-05-19”),78.595,78.60],[new Date(“2016-05-20”),78.634,78.63],[new Date(“2016-05-21”),78.601,78.60],[new Date(“2016-05-22”),78.565,78.57],[new Date(“2016-05-23”),78.579,78.58],[new Date(“2016-05-24”),78.575,78.58],[new Date(“2016-05-25”),78.584,78.58],[new Date(“2016-05-26”),78.620,78.62],[new Date(“2016-05-27”),78.571,78.57],[new Date(“2016-05-28”),78.570,78.57],[new Date(“2016-05-29”),78.582,78.58],[new Date(“2016-05-30”),78.599,78.60],[new Date(“2016-05-31″),78.610,78.61],]);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, 2016

01      78.3677
02      78.3662
↗0.001, 0.00%
03      78.4258
↘0.060, 0.08%
04      78.3170
↗0.109, 0.14%
05      78.3230
↘0.006, 0.01%
06      78.3343
↘0.011, 0.01%
07      78.5033
↘0.169, 0.22%
08      78.3903
↗0.113, 0.14%
09      78.4125
↘0.022, 0.03%
10      78.3398
↗0.073, 0.09%
11      78.3806
↘0.041, 0.05%
12      78.4133
↘0.033, 0.04%
13      78.4001
↗0.013, 0.02%
14      78.3828
↗0.017, 0.02%
15      78.3747
↗0.008, 0.01%
16      78.3588
↗0.016, 0.02%
17      78.3447
↗0.014, 0.02%
18      78.3552
↘0.010, 0.01%
19      78.3032
↗0.052, 0.07%
20      78.3732
↘0.070, 0.09%
21      78.3772
↘0.004, 0.01%
22      78.4072
↘0.030, 0.04%
23      78.3616
↗0.046, 0.06%
24      78.3300
↗0.032, 0.04%
25      78.3365
↘0.007, 0.01%
26      78.3914
↘0.055, 0.07%
27      78.4011
↘0.010, 0.01%
28      78.3665
↗0.035, 0.04%
29      78.4143
↘0.048, 0.06%
30      78.4157
↘0.001, 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(“2016-04-01”),78.368,78.37],[new Date(“2016-04-02”),78.366,78.37],[new Date(“2016-04-03”),78.426,78.43],[new Date(“2016-04-04”),78.317,78.32],[new Date(“2016-04-05”),78.323,78.32],[new Date(“2016-04-06”),78.334,78.33],[new Date(“2016-04-07”),78.503,78.50],[new Date(“2016-04-08”),78.390,78.39],[new Date(“2016-04-09”),78.412,78.41],[new Date(“2016-04-10”),78.340,78.34],[new Date(“2016-04-11”),78.381,78.38],[new Date(“2016-04-12”),78.413,78.41],[new Date(“2016-04-13”),78.400,78.40],[new Date(“2016-04-14”),78.383,78.38],[new Date(“2016-04-15”),78.375,78.37],[new Date(“2016-04-16”),78.359,78.36],[new Date(“2016-04-17”),78.345,78.34],[new Date(“2016-04-18”),78.355,78.36],[new Date(“2016-04-19”),78.303,78.30],[new Date(“2016-04-20”),78.373,78.37],[new Date(“2016-04-21”),78.377,78.38],[new Date(“2016-04-22”),78.407,78.41],[new Date(“2016-04-23”),78.362,78.36],[new Date(“2016-04-24”),78.330,78.33],[new Date(“2016-04-25”),78.336,78.34],[new Date(“2016-04-26”),78.391,78.39],[new Date(“2016-04-27”),78.401,78.40],[new Date(“2016-04-28”),78.367,78.37],[new Date(“2016-04-29”),78.414,78.41],[new Date(“2016-04-30″),78.416,78.42],]);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, 2016

01      78.5636
02      78.3948
↗0.169, 0.21%
03      78.2829
↗0.112, 0.14%
04      78.3656
↘0.083, 0.11%
05      78.3142
↗0.051, 0.07%
06      78.3561
↘0.042, 0.05%
07      78.4161
↘0.060, 0.08%
08      78.4593
↘0.043, 0.06%
09      78.3938
↗0.065, 0.08%
10      78.3844
↗0.009, 0.01%
11      78.0404
↗0.344, 0.44%
12      77.8865
↗0.154, 0.20%
13      78.1883
↘0.302, 0.39%
14      78.4406
↘0.252, 0.32%
15      78.3370
↗0.104, 0.13%
16      78.0522
↗0.285, 0.36%
17      78.4303
↘0.378, 0.48%
18      78.2679
↗0.162, 0.21%
19      78.3656
↘0.098, 0.12%
20      78.4105
↘0.045, 0.06%
21      78.3749
↗0.036, 0.05%
22      78.3602
↗0.015, 0.02%
23      78.3827
↘0.023, 0.03%
24      78.3616
↗0.021, 0.03%
25      78.3431
↗0.018, 0.02%
26      78.3341
↗0.009, 0.01%
27      78.3339
↗0.000, 0.00%
28      78.2133
↗0.121, 0.15%
29      78.2096
↗0.004, 0.00%
30      78.4278
↘0.218, 0.28%
31      78.4096
↗0.018, 0.02%
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(“2016-03-01”),78.564,78.56],[new Date(“2016-03-02”),78.395,78.39],[new Date(“2016-03-03”),78.283,78.28],[new Date(“2016-03-04”),78.366,78.37],[new Date(“2016-03-05”),78.314,78.31],[new Date(“2016-03-06”),78.356,78.36],[new Date(“2016-03-07”),78.416,78.42],[new Date(“2016-03-08”),78.459,78.46],[new Date(“2016-03-09”),78.394,78.39],[new Date(“2016-03-10”),78.384,78.38],[new Date(“2016-03-11”),78.040,78.04],[new Date(“2016-03-12”),77.886,77.89],[new Date(“2016-03-13”),78.188,78.19],[new Date(“2016-03-14”),78.441,78.44],[new Date(“2016-03-15”),78.337,78.34],[new Date(“2016-03-16”),78.052,78.05],[new Date(“2016-03-17”),78.430,78.43],[new Date(“2016-03-18”),78.268,78.27],[new Date(“2016-03-19”),78.366,78.37],[new Date(“2016-03-20”),78.410,78.41],[new Date(“2016-03-21”),78.375,78.37],[new Date(“2016-03-22”),78.360,78.36],[new Date(“2016-03-23”),78.383,78.38],[new Date(“2016-03-24”),78.362,78.36],[new Date(“2016-03-25”),78.343,78.34],[new Date(“2016-03-26”),78.334,78.33],[new Date(“2016-03-27”),78.334,78.33],[new Date(“2016-03-28”),78.213,78.21],[new Date(“2016-03-29”),78.210,78.21],[new Date(“2016-03-30”),78.428,78.43],[new Date(“2016-03-31″),78.410,78.41],]);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, 2016

01      78.3946
02      78.5199
↘0.125, 0.16%
03      78.1479
↗0.372, 0.47%
04      78.6069
↘0.459, 0.59%
05      78.4797
↗0.127, 0.16%
06      78.6054
↘0.126, 0.16%
07      78.6515
↘0.046, 0.06%
08      78.6925
↘0.041, 0.05%
09      78.6518
↗0.041, 0.05%
10      78.7206
↘0.069, 0.09%
11      78.6794
↗0.041, 0.05%
12      78.6531
↗0.026, 0.03%
13      78.7094
↘0.056, 0.07%
14      78.7856
↘0.076, 0.10%
15      78.4563
↗0.329, 0.42%
16      78.5492
↘0.093, 0.12%
17      78.5303
↗0.019, 0.02%
18      78.4636
↗0.067, 0.08%
19      78.5038
↘0.040, 0.05%
20      78.4862
↗0.018, 0.02%
21      78.4578
↗0.028, 0.04%
22      78.5378
↘0.080, 0.10%
23      78.5017
↗0.036, 0.05%
24      78.3243
↗0.177, 0.23%
25      78.4383
↘0.114, 0.15%
26      78.5559
↘0.118, 0.15%
27      78.5843
↘0.028, 0.04%
28      79.0144
↘0.430, 0.55%
29      78.4551
↗0.559, 0.71%
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(“2016-02-01”),78.395,78.39],[new Date(“2016-02-02”),78.520,78.52],[new Date(“2016-02-03”),78.148,78.15],[new Date(“2016-02-04”),78.607,78.61],[new Date(“2016-02-05”),78.480,78.48],[new Date(“2016-02-06”),78.605,78.61],[new Date(“2016-02-07”),78.651,78.65],[new Date(“2016-02-08”),78.693,78.69],[new Date(“2016-02-09”),78.652,78.65],[new Date(“2016-02-10”),78.721,78.72],[new Date(“2016-02-11”),78.679,78.68],[new Date(“2016-02-12”),78.653,78.65],[new Date(“2016-02-13”),78.709,78.71],[new Date(“2016-02-14”),78.786,78.79],[new Date(“2016-02-15”),78.456,78.46],[new Date(“2016-02-16”),78.549,78.55],[new Date(“2016-02-17”),78.530,78.53],[new Date(“2016-02-18”),78.464,78.46],[new Date(“2016-02-19”),78.504,78.50],[new Date(“2016-02-20”),78.486,78.49],[new Date(“2016-02-21”),78.458,78.46],[new Date(“2016-02-22”),78.538,78.54],[new Date(“2016-02-23”),78.502,78.50],[new Date(“2016-02-24”),78.324,78.32],[new Date(“2016-02-25”),78.438,78.44],[new Date(“2016-02-26”),78.556,78.56],[new Date(“2016-02-27”),78.584,78.58],[new Date(“2016-02-28”),79.014,79.01],[new Date(“2016-02-29″),78.455,78.46],]);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_2’));
chart.draw(data, options);
}

January, 2016

01      78.5098
02      78.6072
↘0.097, 0.12%
03      78.6001
↗0.007, 0.01%
04      78.5125
↗0.088, 0.11%
05      78.4640
↗0.049, 0.06%
06      78.3800
↗0.084, 0.11%
07      78.2879
↗0.092, 0.12%
08      78.3417
↘0.054, 0.07%
09      78.3208
↗0.021, 0.03%
10      78.1247
↗0.196, 0.25%
11      78.4562
↘0.331, 0.42%
12      78.4109
↗0.045, 0.06%
13      78.3667
↗0.044, 0.06%
14      78.5191
↘0.152, 0.19%
15      78.4349
↗0.084, 0.11%
16      78.5414
↘0.106, 0.14%
17      78.4618
↗0.080, 0.10%
18      78.5020
↘0.040, 0.05%
19      78.3282
↗0.174, 0.22%
20      78.5340
↘0.206, 0.26%
21      78.5809
↘0.047, 0.06%
22      78.6272
↘0.046, 0.06%
23      78.6575
↘0.030, 0.04%
24      78.7037
↘0.046, 0.06%
25      78.4468
↗0.257, 0.33%
26      78.3570
↗0.090, 0.11%
27      78.3849
↘0.028, 0.04%
28      78.3777
↗0.007, 0.01%
29      78.5648
↘0.187, 0.24%
30      78.5599
↗0.005, 0.01%
31      78.9642
↘0.404, 0.51%
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(“2016-01-01”),78.510,78.51],[new Date(“2016-01-02”),78.607,78.61],[new Date(“2016-01-03”),78.600,78.60],[new Date(“2016-01-04”),78.513,78.51],[new Date(“2016-01-05”),78.464,78.46],[new Date(“2016-01-06”),78.380,78.38],[new Date(“2016-01-07”),78.288,78.29],[new Date(“2016-01-08”),78.342,78.34],[new Date(“2016-01-09”),78.321,78.32],[new Date(“2016-01-10”),78.125,78.12],[new Date(“2016-01-11”),78.456,78.46],[new Date(“2016-01-12”),78.411,78.41],[new Date(“2016-01-13”),78.367,78.37],[new Date(“2016-01-14”),78.519,78.52],[new Date(“2016-01-15”),78.435,78.43],[new Date(“2016-01-16”),78.541,78.54],[new Date(“2016-01-17”),78.462,78.46],[new Date(“2016-01-18”),78.502,78.50],[new Date(“2016-01-19”),78.328,78.33],[new Date(“2016-01-20”),78.534,78.53],[new Date(“2016-01-21”),78.581,78.58],[new Date(“2016-01-22”),78.627,78.63],[new Date(“2016-01-23”),78.657,78.66],[new Date(“2016-01-24”),78.704,78.70],[new Date(“2016-01-25”),78.447,78.45],[new Date(“2016-01-26”),78.357,78.36],[new Date(“2016-01-27”),78.385,78.38],[new Date(“2016-01-28”),78.378,78.38],[new Date(“2016-01-29”),78.565,78.56],[new Date(“2016-01-30”),78.560,78.56],[new Date(“2016-01-31″),78.964,78.96],]);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);
}