Bulgarian Lev BGN 2016 Conversion Rates

  • Opening Value is 1.798587 BGN per Dollar
  • Closing Value is 1.855504 BGN per Dollar
  • Change in Value during 2016 is 0.0569 which is 3.16%
  • Best Performance is on 2016-05-02 with 1.699190 BGN per Dollar
  • Lowest Performance is on 2016-12-20 with 1.887102 BGN per Dollar
  • Average Value is 1.7678 BGN per Dollar
  • Swing Between the higest and the lowest is 0.1879 per Dollar, that is 10.45% compared to the opening value.

USD to BGN Conversion Rates – 12 months

Date 1 USD =
2016-12-31 1.8555 BGN
2016-11-30 1.8391 BGN
2016-10-31 1.7868 BGN
2016-09-30 1.7524 BGN
2016-08-31 1.7569 BGN
2016-07-31 1.7599 BGN
2016-06-30 1.7624 BGN
2016-05-31 1.7580 BGN
2016-04-30 1.7106 BGN
2016-03-31 1.7206 BGN
2016-02-29 1.7958 BGN
2016-01-31 1.8057 BGN
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”),1.856,1.86],[new Date(“2016-11-30”),1.839,1.84],[new Date(“2016-10-31”),1.787,1.79],[new Date(“2016-09-30”),1.752,1.75],[new Date(“2016-08-31”),1.757,1.76],[new Date(“2016-07-31”),1.760,1.76],[new Date(“2016-06-30”),1.762,1.76],[new Date(“2016-05-31”),1.758,1.76],[new Date(“2016-04-30”),1.711,1.71],[new Date(“2016-03-31”),1.721,1.72],[new Date(“2016-02-29”),1.796,1.80],[new Date(“2016-01-31”),1.806,1.81],]);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      1.8404
02      1.8378
↗0.003, 0.14%
03      1.8378
→0.000, 0.00%
04      1.8378
↗0.000, 0.00%
05      1.8275
↗0.010, 0.56%
06      1.8221
↗0.005, 0.30%
07      1.8228
↘0.001, 0.04%
08      1.8174
↗0.005, 0.30%
09      1.8523
↘0.035, 1.92%
10      1.8523
→0.000, 0.00%
11      1.8523
↗0.000, 0.00%
12      1.8458
↗0.007, 0.35%
13      1.8434
↗0.002, 0.13%
14      1.8375
↗0.006, 0.32%
15      1.8772
↘0.040, 2.16%
16      1.8736
↗0.004, 0.19%
17      1.8736
→0.000, 0.00%
18      1.8736
↗0.000, 0.00%
19      1.8766
↘0.003, 0.16%
20      1.8871
↘0.010, 0.56%
21      1.8768
↗0.010, 0.55%
22      1.8727
↗0.004, 0.22%
23      1.8723
↗0.000, 0.02%
24      1.8723
→0.000, 0.00%
25      1.8723
↗0.000, 0.00%
26      1.8723
↘0.000, 0.00%
27      1.8725
↘0.000, 0.01%
28      1.8804
↘0.008, 0.42%
29      1.8711
↗0.009, 0.49%
30      1.8555
↗0.016, 0.83%
31      1.8555
→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”),1.840,1.84],[new Date(“2016-12-02”),1.838,1.84],[new Date(“2016-12-03”),1.838,1.84],[new Date(“2016-12-04”),1.838,1.84],[new Date(“2016-12-05”),1.827,1.83],[new Date(“2016-12-06”),1.822,1.82],[new Date(“2016-12-07”),1.823,1.82],[new Date(“2016-12-08”),1.817,1.82],[new Date(“2016-12-09”),1.852,1.85],[new Date(“2016-12-10”),1.852,1.85],[new Date(“2016-12-11”),1.852,1.85],[new Date(“2016-12-12”),1.846,1.85],[new Date(“2016-12-13”),1.843,1.84],[new Date(“2016-12-14”),1.837,1.84],[new Date(“2016-12-15”),1.877,1.88],[new Date(“2016-12-16”),1.874,1.87],[new Date(“2016-12-17”),1.874,1.87],[new Date(“2016-12-18”),1.874,1.87],[new Date(“2016-12-19”),1.877,1.88],[new Date(“2016-12-20”),1.887,1.89],[new Date(“2016-12-21”),1.877,1.88],[new Date(“2016-12-22”),1.873,1.87],[new Date(“2016-12-23”),1.872,1.87],[new Date(“2016-12-24”),1.872,1.87],[new Date(“2016-12-25”),1.872,1.87],[new Date(“2016-12-26”),1.872,1.87],[new Date(“2016-12-27”),1.872,1.87],[new Date(“2016-12-28”),1.880,1.88],[new Date(“2016-12-29”),1.871,1.87],[new Date(“2016-12-30”),1.856,1.86],[new Date(“2016-12-31″),1.856,1.86],]);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_12’));
chart.draw(data, options);
}

November, 2016

01      1.7740
02      1.7628
↗0.011, 0.63%
03      1.7677
↘0.005, 0.28%
04      1.7631
↗0.005, 0.26%
05      1.7631
→0.000, 0.00%
06      1.7631
↗0.000, 0.00%
07      1.7681
↘0.005, 0.28%
08      1.7719
↘0.004, 0.21%
09      1.7745
↘0.003, 0.15%
10      1.7952
↘0.021, 1.17%
11      1.7937
↗0.001, 0.08%
12      1.7937
→0.000, 0.00%
13      1.7937
↗0.000, 0.00%
14      1.8148
↘0.021, 1.18%
15      1.8168
↘0.002, 0.11%
16      1.8275
↘0.011, 0.59%
17      1.8249
↗0.003, 0.14%
18      1.8401
↘0.015, 0.83%
19      1.8401
→0.000, 0.00%
20      1.8401
↗0.000, 0.00%
21      1.8397
↗0.000, 0.02%
22      1.8422
↘0.003, 0.14%
23      1.8448
↘0.003, 0.14%
24      1.8542
↘0.009, 0.51%
25      1.8465
↗0.008, 0.42%
26      1.8465
→0.000, 0.00%
27      1.8465
↗0.000, 0.00%
28      1.8472
↘0.001, 0.04%
29      1.8493
↘0.002, 0.11%
30      1.8391
↗0.010, 0.55%
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”),1.774,1.77],[new Date(“2016-11-02”),1.763,1.76],[new Date(“2016-11-03”),1.768,1.77],[new Date(“2016-11-04”),1.763,1.76],[new Date(“2016-11-05”),1.763,1.76],[new Date(“2016-11-06”),1.763,1.76],[new Date(“2016-11-07”),1.768,1.77],[new Date(“2016-11-08”),1.772,1.77],[new Date(“2016-11-09”),1.774,1.77],[new Date(“2016-11-10”),1.795,1.80],[new Date(“2016-11-11”),1.794,1.79],[new Date(“2016-11-12”),1.794,1.79],[new Date(“2016-11-13”),1.794,1.79],[new Date(“2016-11-14”),1.815,1.81],[new Date(“2016-11-15”),1.817,1.82],[new Date(“2016-11-16”),1.828,1.83],[new Date(“2016-11-17”),1.825,1.82],[new Date(“2016-11-18”),1.840,1.84],[new Date(“2016-11-19”),1.840,1.84],[new Date(“2016-11-20”),1.840,1.84],[new Date(“2016-11-21”),1.840,1.84],[new Date(“2016-11-22”),1.842,1.84],[new Date(“2016-11-23”),1.845,1.84],[new Date(“2016-11-24”),1.854,1.85],[new Date(“2016-11-25”),1.847,1.85],[new Date(“2016-11-26”),1.847,1.85],[new Date(“2016-11-27”),1.846,1.85],[new Date(“2016-11-28”),1.847,1.85],[new Date(“2016-11-29”),1.849,1.85],[new Date(“2016-11-30″),1.839,1.84],]);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_11’));
chart.draw(data, options);
}

October, 2016

01      1.7524
02      1.7524
↗0.000, 0.00%
03      1.7407
↗0.012, 0.67%
04      1.7524
↘0.012, 0.67%
05      1.7446
↗0.008, 0.45%
06      1.7486
↘0.004, 0.23%
07      1.7557
↘0.007, 0.41%
08      1.7557
→0.000, 0.00%
09      1.7557
↗0.000, 0.00%
10      1.7525
↗0.003, 0.18%
11      1.7653
↘0.013, 0.73%
12      1.7748
↘0.009, 0.54%
13      1.7719
↗0.003, 0.16%
14      1.7777
↘0.006, 0.33%
15      1.7777
→0.000, 0.00%
16      1.7777
↗0.000, 0.00%
17      1.7790
↘0.001, 0.07%
18      1.7792
↘0.000, 0.01%
19      1.7814
↘0.002, 0.12%
20      1.7813
↗0.000, 0.01%
21      1.7967
↘0.015, 0.86%
22      1.7967
→0.000, 0.00%
23      1.7967
↗0.000, 0.00%
24      1.7958
↗0.001, 0.05%
25      1.7990
↘0.003, 0.18%
26      1.7902
↗0.009, 0.49%
27      1.7899
↗0.000, 0.02%
28      1.7907
↘0.001, 0.04%
29      1.7907
→0.000, 0.00%
30      1.7907
→0.000, 0.00%
31      1.7868
↗0.004, 0.22%
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”),1.752,1.75],[new Date(“2016-10-02”),1.752,1.75],[new Date(“2016-10-03”),1.741,1.74],[new Date(“2016-10-04”),1.752,1.75],[new Date(“2016-10-05”),1.745,1.74],[new Date(“2016-10-06”),1.749,1.75],[new Date(“2016-10-07”),1.756,1.76],[new Date(“2016-10-08”),1.756,1.76],[new Date(“2016-10-09”),1.756,1.76],[new Date(“2016-10-10”),1.753,1.75],[new Date(“2016-10-11”),1.765,1.77],[new Date(“2016-10-12”),1.775,1.77],[new Date(“2016-10-13”),1.772,1.77],[new Date(“2016-10-14”),1.778,1.78],[new Date(“2016-10-15”),1.778,1.78],[new Date(“2016-10-16”),1.778,1.78],[new Date(“2016-10-17”),1.779,1.78],[new Date(“2016-10-18”),1.779,1.78],[new Date(“2016-10-19”),1.781,1.78],[new Date(“2016-10-20”),1.781,1.78],[new Date(“2016-10-21”),1.797,1.80],[new Date(“2016-10-22”),1.797,1.80],[new Date(“2016-10-23”),1.797,1.80],[new Date(“2016-10-24”),1.796,1.80],[new Date(“2016-10-25”),1.799,1.80],[new Date(“2016-10-26”),1.790,1.79],[new Date(“2016-10-27”),1.790,1.79],[new Date(“2016-10-28”),1.791,1.79],[new Date(“2016-10-29”),1.791,1.79],[new Date(“2016-10-30”),1.791,1.79],[new Date(“2016-10-31″),1.787,1.79],]);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      1.7547
02      1.7474
↗0.007, 0.42%
03      1.7474
→0.000, 0.00%
04      1.7474
↘0.000, 0.00%
05      1.7474
↗0.000, 0.00%
06      1.7474
↘0.000, 0.00%
07      1.7405
↗0.007, 0.40%
08      1.7314
↗0.009, 0.52%
09      1.7357
↘0.004, 0.25%
10      1.7357
→0.000, 0.00%
11      1.7357
↗0.000, 0.00%
12      1.7422
↘0.006, 0.37%
13      1.7390
↗0.003, 0.19%
14      1.7435
↘0.005, 0.26%
15      1.7379
↗0.006, 0.32%
16      1.7422
↘0.004, 0.25%
17      1.7422
→0.000, 0.00%
18      1.7422
↗0.000, 0.00%
19      1.7517
↘0.010, 0.55%
20      1.7488
↗0.003, 0.17%
21      1.7541
↘0.005, 0.30%
22      1.7541
↘0.000, 0.00%
23      1.7541
↘0.000, 0.00%
24      1.7541
→0.000, 0.00%
25      1.7541
↗0.000, 0.00%
26      1.7367
↗0.017, 0.99%
27      1.7432
↘0.006, 0.37%
28      1.7424
↗0.001, 0.05%
29      1.7430
↘0.001, 0.04%
30      1.7524
↘0.009, 0.54%
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”),1.755,1.75],[new Date(“2016-09-02”),1.747,1.75],[new Date(“2016-09-03”),1.747,1.75],[new Date(“2016-09-04”),1.747,1.75],[new Date(“2016-09-05”),1.747,1.75],[new Date(“2016-09-06”),1.747,1.75],[new Date(“2016-09-07”),1.740,1.74],[new Date(“2016-09-08”),1.731,1.73],[new Date(“2016-09-09”),1.736,1.74],[new Date(“2016-09-10”),1.736,1.74],[new Date(“2016-09-11”),1.736,1.74],[new Date(“2016-09-12”),1.742,1.74],[new Date(“2016-09-13”),1.739,1.74],[new Date(“2016-09-14”),1.744,1.74],[new Date(“2016-09-15”),1.738,1.74],[new Date(“2016-09-16”),1.742,1.74],[new Date(“2016-09-17”),1.742,1.74],[new Date(“2016-09-18”),1.742,1.74],[new Date(“2016-09-19”),1.752,1.75],[new Date(“2016-09-20”),1.749,1.75],[new Date(“2016-09-21”),1.754,1.75],[new Date(“2016-09-22”),1.754,1.75],[new Date(“2016-09-23”),1.754,1.75],[new Date(“2016-09-24”),1.754,1.75],[new Date(“2016-09-25”),1.754,1.75],[new Date(“2016-09-26”),1.737,1.74],[new Date(“2016-09-27”),1.743,1.74],[new Date(“2016-09-28”),1.742,1.74],[new Date(“2016-09-29”),1.743,1.74],[new Date(“2016-09-30″),1.752,1.75],]);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      1.7519
02      1.7474
↗0.005, 0.26%
03      1.7463
↗0.001, 0.06%
04      1.7563
↘0.010, 0.57%
05      1.7532
↗0.003, 0.18%
06      1.7532
→0.000, 0.00%
07      1.7532
↗0.000, 0.00%
08      1.7641
↘0.011, 0.62%
09      1.7655
↘0.001, 0.08%
10      1.7488
↗0.017, 0.95%
11      1.7536
↘0.005, 0.27%
12      1.7529
↗0.001, 0.04%
13      1.7529
→0.000, 0.00%
14      1.7529
↗0.000, 0.00%
15      1.7494
↗0.004, 0.20%
16      1.7316
↗0.018, 1.02%
17      1.7345
↘0.003, 0.17%
18      1.7276
↗0.007, 0.40%
19      1.7268
↗0.001, 0.05%
20      1.7268
→0.000, 0.00%
21      1.7268
↗0.000, 0.00%
22      1.7299
↘0.003, 0.18%
23      1.7249
↗0.005, 0.29%
24      1.7357
↘0.011, 0.63%
25      1.7324
↗0.003, 0.19%
26      1.7324
↘0.000, 0.00%
27      1.7324
→0.000, 0.00%
28      1.7324
↗0.000, 0.00%
29      1.7510
↘0.019, 1.07%
30      1.7513
↘0.000, 0.02%
31      1.7569
↘0.006, 0.32%
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”),1.752,1.75],[new Date(“2016-08-02”),1.747,1.75],[new Date(“2016-08-03”),1.746,1.75],[new Date(“2016-08-04”),1.756,1.76],[new Date(“2016-08-05”),1.753,1.75],[new Date(“2016-08-06”),1.753,1.75],[new Date(“2016-08-07”),1.753,1.75],[new Date(“2016-08-08”),1.764,1.76],[new Date(“2016-08-09”),1.765,1.77],[new Date(“2016-08-10”),1.749,1.75],[new Date(“2016-08-11”),1.754,1.75],[new Date(“2016-08-12”),1.753,1.75],[new Date(“2016-08-13”),1.753,1.75],[new Date(“2016-08-14”),1.753,1.75],[new Date(“2016-08-15”),1.749,1.75],[new Date(“2016-08-16”),1.732,1.73],[new Date(“2016-08-17”),1.734,1.73],[new Date(“2016-08-18”),1.728,1.73],[new Date(“2016-08-19”),1.727,1.73],[new Date(“2016-08-20”),1.727,1.73],[new Date(“2016-08-21”),1.727,1.73],[new Date(“2016-08-22”),1.730,1.73],[new Date(“2016-08-23”),1.725,1.72],[new Date(“2016-08-24”),1.736,1.74],[new Date(“2016-08-25”),1.732,1.73],[new Date(“2016-08-26”),1.732,1.73],[new Date(“2016-08-27”),1.732,1.73],[new Date(“2016-08-28”),1.732,1.73],[new Date(“2016-08-29”),1.751,1.75],[new Date(“2016-08-30”),1.751,1.75],[new Date(“2016-08-31″),1.757,1.76],]);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      1.7568
02      1.7566
↗0.000, 0.01%
03      1.7565
↗0.000, 0.00%
04      1.7552
↗0.001, 0.08%
05      1.7624
↘0.007, 0.41%
06      1.7626
↘0.000, 0.01%
07      1.7670
↘0.004, 0.25%
08      1.7680
↘0.001, 0.06%
09      1.7684
↘0.000, 0.02%
10      1.7695
↘0.001, 0.06%
11      1.7690
↗0.001, 0.03%
12      1.7675
↗0.001, 0.08%
13      1.7635
↗0.004, 0.23%
14      1.7601
↗0.003, 0.19%
15      1.7576
↗0.003, 0.14%
16      1.7576
→0.000, 0.00%
17      1.7576
↗0.000, 0.00%
18      1.7695
↘0.012, 0.68%
19      1.7724
↘0.003, 0.16%
20      1.7759
↘0.004, 0.20%
21      1.7756
↗0.000, 0.02%
22      1.7758
↘0.000, 0.01%
23      1.7758
→0.000, 0.00%
24      1.7758
↗0.000, 0.00%
25      1.7809
↘0.005, 0.29%
26      1.7785
↗0.002, 0.13%
27      1.7795
↘0.001, 0.06%
28      1.7636
↗0.016, 0.89%
29      1.7599
↗0.004, 0.21%
30      1.7599
→0.000, 0.00%
31      1.7599
↗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”),1.757,1.76],[new Date(“2016-07-02”),1.757,1.76],[new Date(“2016-07-03”),1.757,1.76],[new Date(“2016-07-04”),1.755,1.76],[new Date(“2016-07-05”),1.762,1.76],[new Date(“2016-07-06”),1.763,1.76],[new Date(“2016-07-07”),1.767,1.77],[new Date(“2016-07-08”),1.768,1.77],[new Date(“2016-07-09”),1.768,1.77],[new Date(“2016-07-10”),1.769,1.77],[new Date(“2016-07-11”),1.769,1.77],[new Date(“2016-07-12”),1.768,1.77],[new Date(“2016-07-13”),1.763,1.76],[new Date(“2016-07-14”),1.760,1.76],[new Date(“2016-07-15”),1.758,1.76],[new Date(“2016-07-16”),1.758,1.76],[new Date(“2016-07-17”),1.758,1.76],[new Date(“2016-07-18”),1.770,1.77],[new Date(“2016-07-19”),1.772,1.77],[new Date(“2016-07-20”),1.776,1.78],[new Date(“2016-07-21”),1.776,1.78],[new Date(“2016-07-22”),1.776,1.78],[new Date(“2016-07-23”),1.776,1.78],[new Date(“2016-07-24”),1.776,1.78],[new Date(“2016-07-25”),1.781,1.78],[new Date(“2016-07-26”),1.779,1.78],[new Date(“2016-07-27”),1.780,1.78],[new Date(“2016-07-28”),1.764,1.76],[new Date(“2016-07-29”),1.760,1.76],[new Date(“2016-07-30”),1.760,1.76],[new Date(“2016-07-31″),1.760,1.76],]);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      1.7503
02      1.7534
↘0.003, 0.18%
03      1.7280
↗0.025, 1.45%
04      1.7274
↗0.001, 0.04%
05      1.7228
↗0.005, 0.27%
06      1.7225
↗0.000, 0.02%
07      1.7224
↗0.000, 0.01%
08      1.7173
↗0.005, 0.30%
09      1.7253
↘0.008, 0.47%
10      1.7333
↘0.008, 0.46%
11      1.7359
↘0.003, 0.15%
12      1.7377
↘0.002, 0.10%
13      1.7328
↗0.005, 0.28%
14      1.7431
↘0.010, 0.60%
15      1.7369
↗0.006, 0.36%
16      1.7416
↘0.005, 0.27%
17      1.7356
↗0.006, 0.34%
18      1.7350
↗0.001, 0.04%
19      1.7315
↗0.004, 0.20%
20      1.7296
↗0.002, 0.11%
21      1.7360
↘0.006, 0.37%
22      1.7272
↗0.009, 0.51%
23      1.7196
↗0.008, 0.44%
24      1.7542
↘0.035, 2.01%
25      1.7619
↘0.008, 0.44%
26      1.7639
↘0.002, 0.12%
27      1.7728
↘0.009, 0.51%
28      1.7673
↗0.005, 0.31%
29      1.7608
↗0.007, 0.37%
30      1.7624
↘0.002, 0.09%
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”),1.750,1.75],[new Date(“2016-06-02”),1.753,1.75],[new Date(“2016-06-03”),1.728,1.73],[new Date(“2016-06-04”),1.727,1.73],[new Date(“2016-06-05”),1.723,1.72],[new Date(“2016-06-06”),1.723,1.72],[new Date(“2016-06-07”),1.722,1.72],[new Date(“2016-06-08”),1.717,1.72],[new Date(“2016-06-09”),1.725,1.73],[new Date(“2016-06-10”),1.733,1.73],[new Date(“2016-06-11”),1.736,1.74],[new Date(“2016-06-12”),1.738,1.74],[new Date(“2016-06-13”),1.733,1.73],[new Date(“2016-06-14”),1.743,1.74],[new Date(“2016-06-15”),1.737,1.74],[new Date(“2016-06-16”),1.742,1.74],[new Date(“2016-06-17”),1.736,1.74],[new Date(“2016-06-18”),1.735,1.73],[new Date(“2016-06-19”),1.731,1.73],[new Date(“2016-06-20”),1.730,1.73],[new Date(“2016-06-21”),1.736,1.74],[new Date(“2016-06-22”),1.727,1.73],[new Date(“2016-06-23”),1.720,1.72],[new Date(“2016-06-24”),1.754,1.75],[new Date(“2016-06-25”),1.762,1.76],[new Date(“2016-06-26”),1.764,1.76],[new Date(“2016-06-27”),1.773,1.77],[new Date(“2016-06-28”),1.767,1.77],[new Date(“2016-06-29”),1.761,1.76],[new Date(“2016-06-30″),1.762,1.76],]);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      1.7087
02      1.6992
↗0.010, 0.56%
03      1.7019
↘0.003, 0.16%
04      1.7008
↗0.001, 0.06%
05      1.7124
↘0.012, 0.68%
06      1.7132
↘0.001, 0.05%
07      1.7144
↘0.001, 0.07%
08      1.7147
↘0.000, 0.02%
09      1.7175
↘0.003, 0.16%
10      1.7190
↘0.001, 0.09%
11      1.7137
↗0.005, 0.31%
12      1.7188
↘0.005, 0.30%
13      1.7265
↘0.008, 0.45%
14      1.7284
↘0.002, 0.11%
15      1.7296
↘0.001, 0.07%
16      1.7284
↗0.001, 0.07%
17      1.7291
↘0.001, 0.04%
18      1.7373
↘0.008, 0.47%
19      1.7396
↘0.002, 0.14%
20      1.7440
↘0.004, 0.25%
21      1.7443
↘0.000, 0.02%
22      1.7441
↗0.000, 0.01%
23      1.7440
↗0.000, 0.00%
24      1.7538
↘0.010, 0.56%
25      1.7531
↗0.001, 0.04%
26      1.7489
↗0.004, 0.24%
27      1.7576
↘0.009, 0.50%
28      1.7576
↗0.000, 0.00%
29      1.7590
↘0.001, 0.08%
30      1.7569
↗0.002, 0.12%
31      1.7580
↘0.001, 0.06%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),1.709,1.71],[new Date(“2016-05-02”),1.699,1.70],[new Date(“2016-05-03”),1.702,1.70],[new Date(“2016-05-04”),1.701,1.70],[new Date(“2016-05-05”),1.712,1.71],[new Date(“2016-05-06”),1.713,1.71],[new Date(“2016-05-07”),1.714,1.71],[new Date(“2016-05-08”),1.715,1.71],[new Date(“2016-05-09”),1.718,1.72],[new Date(“2016-05-10”),1.719,1.72],[new Date(“2016-05-11”),1.714,1.71],[new Date(“2016-05-12”),1.719,1.72],[new Date(“2016-05-13”),1.726,1.73],[new Date(“2016-05-14”),1.728,1.73],[new Date(“2016-05-15”),1.730,1.73],[new Date(“2016-05-16”),1.728,1.73],[new Date(“2016-05-17”),1.729,1.73],[new Date(“2016-05-18”),1.737,1.74],[new Date(“2016-05-19”),1.740,1.74],[new Date(“2016-05-20”),1.744,1.74],[new Date(“2016-05-21”),1.744,1.74],[new Date(“2016-05-22”),1.744,1.74],[new Date(“2016-05-23”),1.744,1.74],[new Date(“2016-05-24”),1.754,1.75],[new Date(“2016-05-25”),1.753,1.75],[new Date(“2016-05-26”),1.749,1.75],[new Date(“2016-05-27”),1.758,1.76],[new Date(“2016-05-28”),1.758,1.76],[new Date(“2016-05-29”),1.759,1.76],[new Date(“2016-05-30”),1.757,1.76],[new Date(“2016-05-31″),1.758,1.76],]);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      1.7184
02      1.7170
↗0.001, 0.08%
03      1.7167
↗0.000, 0.02%
04      1.7175
↘0.001, 0.04%
05      1.7183
↘0.001, 0.05%
06      1.7168
↗0.002, 0.09%
07      1.7198
↘0.003, 0.18%
08      1.7161
↗0.004, 0.22%
09      1.7165
↘0.000, 0.02%
10      1.7153
↗0.001, 0.07%
11      1.7150
↗0.000, 0.02%
12      1.7175
↘0.003, 0.15%
13      1.7306
↘0.013, 0.76%
14      1.7342
↘0.004, 0.21%
15      1.7339
↗0.000, 0.02%
16      1.7336
↗0.000, 0.01%
17      1.7319
↗0.002, 0.10%
18      1.7298
↗0.002, 0.12%
19      1.7237
↗0.006, 0.35%
20      1.7298
↘0.006, 0.36%
21      1.7313
↘0.001, 0.08%
22      1.7396
↘0.008, 0.48%
23      1.7404
↘0.001, 0.04%
24      1.7415
↘0.001, 0.06%
25      1.7372
↗0.004, 0.25%
26      1.7327
↗0.004, 0.25%
27      1.7283
↗0.004, 0.26%
28      1.7251
↗0.003, 0.19%
29      1.7125
↗0.013, 0.73%
30      1.7106
↗0.002, 0.11%
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”),1.718,1.72],[new Date(“2016-04-02”),1.717,1.72],[new Date(“2016-04-03”),1.717,1.72],[new Date(“2016-04-04”),1.717,1.72],[new Date(“2016-04-05”),1.718,1.72],[new Date(“2016-04-06”),1.717,1.72],[new Date(“2016-04-07”),1.720,1.72],[new Date(“2016-04-08”),1.716,1.72],[new Date(“2016-04-09”),1.716,1.72],[new Date(“2016-04-10”),1.715,1.72],[new Date(“2016-04-11”),1.715,1.71],[new Date(“2016-04-12”),1.718,1.72],[new Date(“2016-04-13”),1.731,1.73],[new Date(“2016-04-14”),1.734,1.73],[new Date(“2016-04-15”),1.734,1.73],[new Date(“2016-04-16”),1.734,1.73],[new Date(“2016-04-17”),1.732,1.73],[new Date(“2016-04-18”),1.730,1.73],[new Date(“2016-04-19”),1.724,1.72],[new Date(“2016-04-20”),1.730,1.73],[new Date(“2016-04-21”),1.731,1.73],[new Date(“2016-04-22”),1.740,1.74],[new Date(“2016-04-23”),1.740,1.74],[new Date(“2016-04-24”),1.741,1.74],[new Date(“2016-04-25”),1.737,1.74],[new Date(“2016-04-26”),1.733,1.73],[new Date(“2016-04-27”),1.728,1.73],[new Date(“2016-04-28”),1.725,1.73],[new Date(“2016-04-29”),1.713,1.71],[new Date(“2016-04-30″),1.711,1.71],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2016

01      1.7987
02      1.7992
↘0.001, 0.03%
03      1.7885
↗0.011, 0.60%
04      1.7814
↗0.007, 0.39%
05      1.7788
↗0.003, 0.15%
06      1.7781
↗0.001, 0.04%
07      1.7766
↗0.001, 0.08%
08      1.7783
↘0.002, 0.10%
09      1.7776
↗0.001, 0.04%
10      1.7552
↗0.022, 1.26%
11      1.7575
↘0.002, 0.13%
12      1.7537
↗0.004, 0.22%
13      1.7535
↗0.000, 0.02%
14      1.7604
↘0.007, 0.39%
15      1.7603
↗0.000, 0.00%
16      1.7479
↗0.012, 0.71%
17      1.7342
↗0.014, 0.78%
18      1.7357
↘0.002, 0.09%
19      1.7347
↗0.001, 0.06%
20      1.7353
↘0.001, 0.03%
21      1.7381
↘0.003, 0.17%
22      1.7425
↘0.004, 0.25%
23      1.7470
↘0.004, 0.26%
24      1.7496
↘0.003, 0.15%
25      1.7506
↘0.001, 0.05%
26      1.7504
↗0.000, 0.01%
27      1.7507
↘0.000, 0.02%
28      1.7488
↗0.002, 0.11%
29      1.7364
↗0.012, 0.71%
30      1.7302
↗0.006, 0.36%
31      1.7206
↗0.010, 0.55%
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”),1.799,1.80],[new Date(“2016-03-02”),1.799,1.80],[new Date(“2016-03-03”),1.788,1.79],[new Date(“2016-03-04”),1.781,1.78],[new Date(“2016-03-05”),1.779,1.78],[new Date(“2016-03-06”),1.778,1.78],[new Date(“2016-03-07”),1.777,1.78],[new Date(“2016-03-08”),1.778,1.78],[new Date(“2016-03-09”),1.778,1.78],[new Date(“2016-03-10”),1.755,1.76],[new Date(“2016-03-11”),1.758,1.76],[new Date(“2016-03-12”),1.754,1.75],[new Date(“2016-03-13”),1.753,1.75],[new Date(“2016-03-14”),1.760,1.76],[new Date(“2016-03-15”),1.760,1.76],[new Date(“2016-03-16”),1.748,1.75],[new Date(“2016-03-17”),1.734,1.73],[new Date(“2016-03-18”),1.736,1.74],[new Date(“2016-03-19”),1.735,1.73],[new Date(“2016-03-20”),1.735,1.74],[new Date(“2016-03-21”),1.738,1.74],[new Date(“2016-03-22”),1.743,1.74],[new Date(“2016-03-23”),1.747,1.75],[new Date(“2016-03-24”),1.750,1.75],[new Date(“2016-03-25”),1.751,1.75],[new Date(“2016-03-26”),1.750,1.75],[new Date(“2016-03-27”),1.751,1.75],[new Date(“2016-03-28”),1.749,1.75],[new Date(“2016-03-29”),1.736,1.74],[new Date(“2016-03-30”),1.730,1.73],[new Date(“2016-03-31″),1.721,1.72],]);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      1.7980
02      1.7931
↗0.005, 0.27%
03      1.7696
↗0.023, 1.31%
04      1.7529
↗0.017, 0.95%
05      1.7556
↘0.003, 0.15%
06      1.7542
↗0.001, 0.08%
07      1.7557
↘0.001, 0.08%
08      1.7487
↗0.007, 0.40%
09      1.7367
↗0.012, 0.69%
10      1.7355
↗0.001, 0.07%
11      1.7293
↗0.006, 0.36%
12      1.7361
↘0.007, 0.39%
13      1.7370
↘0.001, 0.06%
14      1.7380
↘0.001, 0.05%
15      1.7502
↘0.012, 0.70%
16      1.7537
↘0.003, 0.20%
17      1.7565
↘0.003, 0.16%
18      1.7596
↘0.003, 0.18%
19      1.7575
↗0.002, 0.12%
20      1.7579
↘0.000, 0.02%
21      1.7575
↗0.000, 0.02%
22      1.7706
↘0.013, 0.74%
23      1.7736
↘0.003, 0.17%
24      1.7756
↘0.002, 0.11%
25      1.7742
↗0.001, 0.08%
26      1.7858
↘0.012, 0.65%
27      1.7862
↘0.000, 0.02%
28      1.7890
↘0.003, 0.16%
29      1.7958
↘0.007, 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(“2016-02-01”),1.798,1.80],[new Date(“2016-02-02”),1.793,1.79],[new Date(“2016-02-03”),1.770,1.77],[new Date(“2016-02-04”),1.753,1.75],[new Date(“2016-02-05”),1.756,1.76],[new Date(“2016-02-06”),1.754,1.75],[new Date(“2016-02-07”),1.756,1.76],[new Date(“2016-02-08”),1.749,1.75],[new Date(“2016-02-09”),1.737,1.74],[new Date(“2016-02-10”),1.735,1.74],[new Date(“2016-02-11”),1.729,1.73],[new Date(“2016-02-12”),1.736,1.74],[new Date(“2016-02-13”),1.737,1.74],[new Date(“2016-02-14”),1.738,1.74],[new Date(“2016-02-15”),1.750,1.75],[new Date(“2016-02-16”),1.754,1.75],[new Date(“2016-02-17”),1.757,1.76],[new Date(“2016-02-18”),1.760,1.76],[new Date(“2016-02-19”),1.758,1.76],[new Date(“2016-02-20”),1.758,1.76],[new Date(“2016-02-21”),1.758,1.76],[new Date(“2016-02-22”),1.771,1.77],[new Date(“2016-02-23”),1.774,1.77],[new Date(“2016-02-24”),1.776,1.78],[new Date(“2016-02-25”),1.774,1.77],[new Date(“2016-02-26”),1.786,1.79],[new Date(“2016-02-27”),1.786,1.79],[new Date(“2016-02-28”),1.789,1.79],[new Date(“2016-02-29″),1.796,1.80],]);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      1.7986
02      1.8002
↘0.002, 0.09%
03      1.8002
↗0.000, 0.00%
04      1.8052
↘0.005, 0.28%
05      1.8156
↘0.010, 0.57%
06      1.8144
↗0.001, 0.06%
07      1.7960
↗0.018, 1.01%
08      1.7942
↗0.002, 0.10%
09      1.7924
↗0.002, 0.10%
10      1.7912
↗0.001, 0.07%
11      1.7989
↘0.008, 0.43%
12      1.8006
↘0.002, 0.09%
13      1.7988
↗0.002, 0.10%
14      1.8013
↘0.003, 0.14%
15      1.7924
↗0.009, 0.49%
16      1.7919
↗0.001, 0.03%
17      1.7912
↗0.001, 0.04%
18      1.7950
↘0.004, 0.21%
19      1.7931
↗0.002, 0.11%
20      1.7964
↘0.003, 0.18%
21      1.7973
↘0.001, 0.05%
22      1.8086
↘0.011, 0.63%
23      1.8101
↘0.002, 0.09%
24      1.8120
↘0.002, 0.10%
25      1.8049
↗0.007, 0.39%
26      1.8035
↗0.001, 0.08%
27      1.7964
↗0.007, 0.39%
28      1.7898
↗0.007, 0.37%
29      1.8029
↘0.013, 0.73%
30      1.8034
↘0.000, 0.03%
31      1.8057
↘0.002, 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(“2016-01-01”),1.799,1.80],[new Date(“2016-01-02”),1.800,1.80],[new Date(“2016-01-03”),1.800,1.80],[new Date(“2016-01-04”),1.805,1.81],[new Date(“2016-01-05”),1.816,1.82],[new Date(“2016-01-06”),1.814,1.81],[new Date(“2016-01-07”),1.796,1.80],[new Date(“2016-01-08”),1.794,1.79],[new Date(“2016-01-09”),1.792,1.79],[new Date(“2016-01-10”),1.791,1.79],[new Date(“2016-01-11”),1.799,1.80],[new Date(“2016-01-12”),1.801,1.80],[new Date(“2016-01-13”),1.799,1.80],[new Date(“2016-01-14”),1.801,1.80],[new Date(“2016-01-15”),1.792,1.79],[new Date(“2016-01-16”),1.792,1.79],[new Date(“2016-01-17”),1.791,1.79],[new Date(“2016-01-18”),1.795,1.80],[new Date(“2016-01-19”),1.793,1.79],[new Date(“2016-01-20”),1.796,1.80],[new Date(“2016-01-21”),1.797,1.80],[new Date(“2016-01-22”),1.809,1.81],[new Date(“2016-01-23”),1.810,1.81],[new Date(“2016-01-24”),1.812,1.81],[new Date(“2016-01-25”),1.805,1.80],[new Date(“2016-01-26”),1.803,1.80],[new Date(“2016-01-27”),1.796,1.80],[new Date(“2016-01-28”),1.790,1.79],[new Date(“2016-01-29”),1.803,1.80],[new Date(“2016-01-30”),1.803,1.80],[new Date(“2016-01-31″),1.806,1.81],]);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_1’));
chart.draw(data, options);
}