Brazilian Real BRL 2019 Conversion Rates

  • Opening Value is 3.881403 BRL per Dollar
  • Closing Value is 4.019969 BRL per Dollar
  • Change in Value during 2019 is 0.1386 which is 3.57%
  • Best Performance is on 2019-01-31 with 3.644305 BRL per Dollar
  • Lowest Performance is on 2019-11-27 with 4.264197 BRL per Dollar
  • Average Value is 3.9456 BRL per Dollar
  • Swing Between the higest and the lowest is 0.6199 per Dollar, that is 15.97% compared to the opening value.

USD to BRL Conversion Rates – 12 months

Date 1 USD =
2019-12-31 4.0200 BRL
2019-11-30 4.2398 BRL
2019-10-31 4.0175 BRL
2019-09-30 4.1563 BRL
2019-08-31 4.1454 BRL
2019-07-31 3.8132 BRL
2019-06-30 3.8510 BRL
2019-05-31 3.9250 BRL
2019-04-30 3.9184 BRL
2019-03-31 3.9255 BRL
2019-02-28 3.7510 BRL
2019-01-31 3.6443 BRL
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-12-31”),4.020,4.02],[new Date(“2019-11-30”),4.240,4.24],[new Date(“2019-10-31”),4.018,4.02],[new Date(“2019-09-30”),4.156,4.16],[new Date(“2019-08-31”),4.145,4.15],[new Date(“2019-07-31”),3.813,3.81],[new Date(“2019-06-30”),3.851,3.85],[new Date(“2019-05-31”),3.925,3.93],[new Date(“2019-04-30”),3.918,3.92],[new Date(“2019-03-31”),3.925,3.93],[new Date(“2019-02-28”),3.751,3.75],[new Date(“2019-01-31”),3.644,3.64],]);var options = {
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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, 2019

01      4.2366
02      4.2238
↗0.013, 0.30%
03      4.2055
↗0.018, 0.43%
04      4.2077
↘0.002, 0.05%
05      4.1861
↗0.022, 0.51%
06      4.1414
↗0.045, 1.07%
07      4.1414
→0.000, 0.00%
08      4.1414
↗0.000, 0.00%
09      4.1427
↘0.001, 0.03%
10      4.1461
↘0.003, 0.08%
11      4.1252
↗0.021, 0.50%
12      4.0908
↗0.034, 0.83%
13      4.1084
↘0.018, 0.43%
14      4.1084
→0.000, 0.00%
15      4.1083
↗0.000, 0.00%
16      4.0634
↗0.045, 1.09%
17      4.0717
↘0.008, 0.20%
18      4.0633
↗0.008, 0.21%
19      4.0704
↘0.007, 0.18%
20      4.1005
↘0.030, 0.74%
21      4.1005
→0.000, 0.00%
22      4.1024
↘0.002, 0.05%
23      4.0835
↗0.019, 0.46%
24      4.0843
↘0.001, 0.02%
25      4.0845
↘0.000, 0.00%
26      4.0549
↗0.030, 0.72%
27      4.0466
↗0.008, 0.20%
28      4.0466
→0.000, 0.00%
29      4.0448
↗0.002, 0.05%
30      4.0193
↗0.025, 0.63%
31      4.0200
↘0.001, 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(“2019-12-01”),4.237,4.24],[new Date(“2019-12-02”),4.224,4.22],[new Date(“2019-12-03”),4.206,4.21],[new Date(“2019-12-04”),4.208,4.21],[new Date(“2019-12-05”),4.186,4.19],[new Date(“2019-12-06”),4.141,4.14],[new Date(“2019-12-07”),4.141,4.14],[new Date(“2019-12-08”),4.141,4.14],[new Date(“2019-12-09”),4.143,4.14],[new Date(“2019-12-10”),4.146,4.15],[new Date(“2019-12-11”),4.125,4.13],[new Date(“2019-12-12”),4.091,4.09],[new Date(“2019-12-13”),4.108,4.11],[new Date(“2019-12-14”),4.108,4.11],[new Date(“2019-12-15”),4.108,4.11],[new Date(“2019-12-16”),4.063,4.06],[new Date(“2019-12-17”),4.072,4.07],[new Date(“2019-12-18”),4.063,4.06],[new Date(“2019-12-19”),4.070,4.07],[new Date(“2019-12-20”),4.100,4.10],[new Date(“2019-12-21”),4.100,4.10],[new Date(“2019-12-22”),4.102,4.10],[new Date(“2019-12-23”),4.084,4.08],[new Date(“2019-12-24”),4.084,4.08],[new Date(“2019-12-25”),4.084,4.08],[new Date(“2019-12-26”),4.055,4.05],[new Date(“2019-12-27”),4.047,4.05],[new Date(“2019-12-28”),4.047,4.05],[new Date(“2019-12-29”),4.045,4.04],[new Date(“2019-12-30”),4.019,4.02],[new Date(“2019-12-31″),4.020,4.02],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2019

01      3.9903
02      3.9896
↗0.001, 0.02%
03      3.9896
↗0.000, 0.00%
04      4.0123
↘0.023, 0.57%
05      3.9935
↗0.019, 0.47%
06      4.0838
↘0.090, 2.26%
07      4.1010
↘0.017, 0.42%
08      4.1635
↘0.062, 1.52%
09      4.1635
→0.000, 0.00%
10      4.1634
↗0.000, 0.00%
11      4.1528
↗0.011, 0.25%
12      4.1694
↘0.017, 0.40%
13      4.1701
↘0.001, 0.02%
14      4.1958
↘0.026, 0.62%
15      4.1962
↘0.000, 0.01%
16      4.1973
↘0.001, 0.03%
17      4.1953
↗0.002, 0.05%
18      4.2179
↘0.023, 0.54%
19      4.1932
↗0.025, 0.59%
20      4.1965
↘0.003, 0.08%
21      4.1932
↗0.003, 0.08%
22      4.1965
↘0.003, 0.08%
23      4.1965
→0.000, 0.00%
24      4.1965
→0.000, 0.00%
25      4.2269
↘0.030, 0.72%
26      4.2333
↘0.006, 0.15%
27      4.2642
↘0.031, 0.73%
28      4.1895
↗0.075, 1.75%
29      4.2403
↘0.051, 1.21%
30      4.2398
↗0.000, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-11-01”),3.990,3.99],[new Date(“2019-11-02”),3.990,3.99],[new Date(“2019-11-03”),3.990,3.99],[new Date(“2019-11-04”),4.012,4.01],[new Date(“2019-11-05”),3.994,3.99],[new Date(“2019-11-06”),4.084,4.08],[new Date(“2019-11-07”),4.101,4.10],[new Date(“2019-11-08”),4.164,4.16],[new Date(“2019-11-09”),4.164,4.16],[new Date(“2019-11-10”),4.163,4.16],[new Date(“2019-11-11”),4.153,4.15],[new Date(“2019-11-12”),4.169,4.17],[new Date(“2019-11-13”),4.170,4.17],[new Date(“2019-11-14”),4.196,4.20],[new Date(“2019-11-15”),4.196,4.20],[new Date(“2019-11-16”),4.197,4.20],[new Date(“2019-11-17”),4.195,4.20],[new Date(“2019-11-18”),4.218,4.22],[new Date(“2019-11-19”),4.193,4.19],[new Date(“2019-11-20”),4.196,4.20],[new Date(“2019-11-21”),4.193,4.19],[new Date(“2019-11-22”),4.197,4.20],[new Date(“2019-11-23”),4.197,4.20],[new Date(“2019-11-24”),4.197,4.20],[new Date(“2019-11-25”),4.227,4.23],[new Date(“2019-11-26”),4.233,4.23],[new Date(“2019-11-27”),4.264,4.26],[new Date(“2019-11-28”),4.189,4.19],[new Date(“2019-11-29”),4.240,4.24],[new Date(“2019-11-30″),4.240,4.24],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2019

01      4.1561
02      4.1281
↗0.028, 0.67%
03      4.0844
↗0.044, 1.06%
04      4.0571
↗0.027, 0.67%
05      4.0574
↘0.000, 0.01%
06      4.0561
↗0.001, 0.03%
07      4.1066
↘0.051, 1.25%
08      4.0946
↗0.012, 0.29%
09      4.1098
↘0.015, 0.37%
10      4.1099
↘0.000, 0.00%
11      4.1133
↘0.003, 0.08%
12      4.1133
→0.000, 0.00%
13      4.1098
↗0.004, 0.09%
14      4.1252
↘0.015, 0.38%
15      4.1801
↘0.055, 1.33%
16      4.1501
↗0.030, 0.72%
17      4.1626
↘0.013, 0.30%
18      4.1127
↗0.050, 1.20%
19      4.1127
→0.000, 0.00%
20      4.1126
↗0.000, 0.00%
21      4.1284
↘0.016, 0.38%
22      4.0799
↗0.048, 1.17%
23      4.0346
↗0.045, 1.11%
24      4.0408
↘0.006, 0.15%
25      4.0045
↗0.036, 0.90%
26      4.0045
→0.000, 0.00%
27      4.0031
↗0.001, 0.04%
28      3.9903
↗0.013, 0.32%
29      3.9982
↘0.008, 0.20%
30      3.9877
↗0.011, 0.26%
31      4.0175
↘0.030, 0.75%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-10-01”),4.156,4.16],[new Date(“2019-10-02”),4.128,4.13],[new Date(“2019-10-03”),4.084,4.08],[new Date(“2019-10-04”),4.057,4.06],[new Date(“2019-10-05”),4.057,4.06],[new Date(“2019-10-06”),4.056,4.06],[new Date(“2019-10-07”),4.107,4.11],[new Date(“2019-10-08”),4.095,4.09],[new Date(“2019-10-09”),4.110,4.11],[new Date(“2019-10-10”),4.110,4.11],[new Date(“2019-10-11”),4.113,4.11],[new Date(“2019-10-12”),4.113,4.11],[new Date(“2019-10-13”),4.110,4.11],[new Date(“2019-10-14”),4.125,4.13],[new Date(“2019-10-15”),4.180,4.18],[new Date(“2019-10-16”),4.150,4.15],[new Date(“2019-10-17”),4.163,4.16],[new Date(“2019-10-18”),4.113,4.11],[new Date(“2019-10-19”),4.113,4.11],[new Date(“2019-10-20”),4.113,4.11],[new Date(“2019-10-21”),4.128,4.13],[new Date(“2019-10-22”),4.080,4.08],[new Date(“2019-10-23”),4.035,4.03],[new Date(“2019-10-24”),4.041,4.04],[new Date(“2019-10-25”),4.005,4.00],[new Date(“2019-10-26”),4.005,4.00],[new Date(“2019-10-27”),4.003,4.00],[new Date(“2019-10-28”),3.990,3.99],[new Date(“2019-10-29”),3.998,4.00],[new Date(“2019-10-30”),3.988,3.99],[new Date(“2019-10-31″),4.018,4.02],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}

September, 2019

01      4.1454
02      4.1859
↘0.041, 0.98%
03      4.1666
↗0.019, 0.46%
04      4.0947
↗0.072, 1.73%
05      4.1075
↘0.013, 0.31%
06      4.0619
↗0.046, 1.11%
07      4.0700
↘0.008, 0.20%
08      4.0628
↗0.007, 0.18%
09      4.0949
↘0.032, 0.79%
10      4.0810
↗0.014, 0.34%
11      4.0679
↗0.013, 0.32%
12      4.0604
↗0.007, 0.18%
13      4.0851
↘0.025, 0.61%
14      4.0851
→0.000, 0.00%
15      4.0857
↘0.001, 0.01%
16      4.0808
↗0.005, 0.12%
17      4.0775
↗0.003, 0.08%
18      4.1109
↘0.033, 0.82%
19      4.1681
↘0.057, 1.39%
20      4.1472
↗0.021, 0.50%
21      4.1472
→0.000, 0.00%
22      4.1498
↘0.003, 0.06%
23      4.1630
↘0.013, 0.32%
24      4.1632
↘0.000, 0.01%
25      4.1486
↗0.015, 0.35%
26      4.1707
↘0.022, 0.53%
27      4.1591
↗0.012, 0.28%
28      4.1701
↘0.011, 0.26%
29      4.1586
↗0.011, 0.27%
30      4.1563
↗0.002, 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(“2019-09-01”),4.145,4.15],[new Date(“2019-09-02”),4.186,4.19],[new Date(“2019-09-03”),4.167,4.17],[new Date(“2019-09-04”),4.095,4.09],[new Date(“2019-09-05”),4.107,4.11],[new Date(“2019-09-06”),4.062,4.06],[new Date(“2019-09-07”),4.070,4.07],[new Date(“2019-09-08”),4.063,4.06],[new Date(“2019-09-09”),4.095,4.09],[new Date(“2019-09-10”),4.081,4.08],[new Date(“2019-09-11”),4.068,4.07],[new Date(“2019-09-12”),4.060,4.06],[new Date(“2019-09-13”),4.085,4.09],[new Date(“2019-09-14”),4.085,4.09],[new Date(“2019-09-15”),4.086,4.09],[new Date(“2019-09-16”),4.081,4.08],[new Date(“2019-09-17”),4.078,4.08],[new Date(“2019-09-18”),4.111,4.11],[new Date(“2019-09-19”),4.168,4.17],[new Date(“2019-09-20”),4.147,4.15],[new Date(“2019-09-21”),4.147,4.15],[new Date(“2019-09-22”),4.150,4.15],[new Date(“2019-09-23”),4.163,4.16],[new Date(“2019-09-24”),4.163,4.16],[new Date(“2019-09-25”),4.149,4.15],[new Date(“2019-09-26”),4.171,4.17],[new Date(“2019-09-27”),4.159,4.16],[new Date(“2019-09-28”),4.170,4.17],[new Date(“2019-09-29”),4.159,4.16],[new Date(“2019-09-30″),4.156,4.16],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}

August, 2019

01      3.8388
02      3.8873
↘0.049, 1.26%
03      3.8873
→0.000, 0.00%
04      3.8854
↗0.002, 0.05%
05      3.9746
↘0.089, 2.30%
06      3.9602
↗0.014, 0.36%
07      3.9689
↘0.009, 0.22%
08      3.9191
↗0.050, 1.25%
09      3.9417
↘0.023, 0.58%
10      3.9417
→0.000, 0.00%
11      3.9417
↗0.000, 0.00%
12      3.9854
↘0.044, 1.11%
13      3.9639
↗0.022, 0.54%
14      4.0518
↘0.088, 2.22%
15      3.9916
↗0.060, 1.49%
16      4.0059
↘0.014, 0.36%
17      4.0059
→0.000, 0.00%
18      4.0061
↘0.000, 0.00%
19      4.0747
↘0.069, 1.71%
20      4.0532
↗0.021, 0.53%
21      4.0255
↗0.028, 0.68%
22      4.0695
↘0.044, 1.09%
23      4.1202
↘0.051, 1.25%
24      4.0874
↗0.033, 0.80%
25      4.1277
↘0.040, 0.99%
26      4.1551
↘0.027, 0.66%
27      4.1265
↗0.029, 0.69%
28      4.1692
↘0.043, 1.04%
29      4.1696
↘0.000, 0.01%
30      4.1454
↗0.024, 0.58%
31      4.1454
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-08-01”),3.839,3.84],[new Date(“2019-08-02”),3.887,3.89],[new Date(“2019-08-03”),3.887,3.89],[new Date(“2019-08-04”),3.885,3.89],[new Date(“2019-08-05”),3.975,3.97],[new Date(“2019-08-06”),3.960,3.96],[new Date(“2019-08-07”),3.969,3.97],[new Date(“2019-08-08”),3.919,3.92],[new Date(“2019-08-09”),3.942,3.94],[new Date(“2019-08-10”),3.942,3.94],[new Date(“2019-08-11”),3.942,3.94],[new Date(“2019-08-12”),3.985,3.99],[new Date(“2019-08-13”),3.964,3.96],[new Date(“2019-08-14”),4.052,4.05],[new Date(“2019-08-15”),3.992,3.99],[new Date(“2019-08-16”),4.006,4.01],[new Date(“2019-08-17”),4.006,4.01],[new Date(“2019-08-18”),4.006,4.01],[new Date(“2019-08-19”),4.075,4.07],[new Date(“2019-08-20”),4.053,4.05],[new Date(“2019-08-21”),4.025,4.03],[new Date(“2019-08-22”),4.070,4.07],[new Date(“2019-08-23”),4.120,4.12],[new Date(“2019-08-24”),4.087,4.09],[new Date(“2019-08-25”),4.128,4.13],[new Date(“2019-08-26”),4.155,4.16],[new Date(“2019-08-27”),4.126,4.13],[new Date(“2019-08-28”),4.169,4.17],[new Date(“2019-08-29”),4.170,4.17],[new Date(“2019-08-30”),4.145,4.15],[new Date(“2019-08-31″),4.145,4.15],]);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, 2019

01      3.8411
02      3.8454
↘0.004, 0.11%
03      3.8265
↗0.019, 0.49%
04      3.8023
↗0.024, 0.63%
05      3.8220
↘0.020, 0.52%
06      3.8220
→0.000, 0.00%
07      3.8193
↗0.003, 0.07%
08      3.8027
↗0.017, 0.43%
09      3.8005
↗0.002, 0.06%
10      3.7539
↗0.047, 1.23%
11      3.7563
↘0.002, 0.07%
12      3.7384
↗0.018, 0.48%
13      3.7384
→0.000, 0.00%
14      3.7359
↗0.003, 0.07%
15      3.7552
↘0.019, 0.52%
16      3.7687
↘0.014, 0.36%
17      3.7633
↗0.005, 0.14%
18      3.7189
↗0.044, 1.18%
19      3.7482
↘0.029, 0.79%
20      3.7440
↗0.004, 0.11%
21      3.7474
↘0.003, 0.09%
22      3.7413
↗0.006, 0.16%
23      3.7739
↘0.033, 0.87%
24      3.7728
↗0.001, 0.03%
25      3.7788
↘0.006, 0.16%
26      3.7762
↗0.003, 0.07%
27      3.7762
→0.000, 0.00%
28      3.7750
↗0.001, 0.03%
29      3.7816
↘0.007, 0.18%
30      3.7908
↘0.009, 0.24%
31      3.8132
↘0.022, 0.59%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-07-01”),3.841,3.84],[new Date(“2019-07-02”),3.845,3.85],[new Date(“2019-07-03”),3.827,3.83],[new Date(“2019-07-04”),3.802,3.80],[new Date(“2019-07-05”),3.822,3.82],[new Date(“2019-07-06”),3.822,3.82],[new Date(“2019-07-07”),3.819,3.82],[new Date(“2019-07-08”),3.803,3.80],[new Date(“2019-07-09”),3.800,3.80],[new Date(“2019-07-10”),3.754,3.75],[new Date(“2019-07-11”),3.756,3.76],[new Date(“2019-07-12”),3.738,3.74],[new Date(“2019-07-13”),3.738,3.74],[new Date(“2019-07-14”),3.736,3.74],[new Date(“2019-07-15”),3.755,3.76],[new Date(“2019-07-16”),3.769,3.77],[new Date(“2019-07-17”),3.763,3.76],[new Date(“2019-07-18”),3.719,3.72],[new Date(“2019-07-19”),3.748,3.75],[new Date(“2019-07-20”),3.744,3.74],[new Date(“2019-07-21”),3.747,3.75],[new Date(“2019-07-22”),3.741,3.74],[new Date(“2019-07-23”),3.774,3.77],[new Date(“2019-07-24”),3.773,3.77],[new Date(“2019-07-25”),3.779,3.78],[new Date(“2019-07-26”),3.776,3.78],[new Date(“2019-07-27”),3.776,3.78],[new Date(“2019-07-28”),3.775,3.77],[new Date(“2019-07-29”),3.782,3.78],[new Date(“2019-07-30”),3.791,3.79],[new Date(“2019-07-31″),3.813,3.81],]);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_7’));
chart.draw(data, options);
}

June, 2019

01      3.9250
02      3.9257
↘0.001, 0.02%
03      3.8856
↗0.040, 1.02%
04      3.8551
↗0.031, 0.79%
05      3.8809
↘0.026, 0.67%
06      3.8799
↗0.001, 0.03%
07      3.8775
↗0.002, 0.06%
08      3.8775
→0.000, 0.00%
09      3.8780
↘0.000, 0.01%
10      3.8860
↘0.008, 0.21%
11      3.8566
↗0.029, 0.76%
12      3.8674
↘0.011, 0.28%
13      3.8497
↗0.018, 0.46%
14      3.8965
↘0.047, 1.22%
15      3.8877
↗0.009, 0.23%
16      3.8960
↘0.008, 0.21%
17      3.8885
↗0.008, 0.19%
18      3.8610
↗0.028, 0.71%
19      3.8390
↗0.022, 0.57%
20      3.8392
↘0.000, 0.01%
21      3.8220
↗0.017, 0.45%
22      3.8220
→0.000, 0.00%
23      3.8220
↗0.000, 0.00%
24      3.8271
↘0.005, 0.13%
25      3.8470
↘0.020, 0.52%
26      3.8444
↗0.003, 0.07%
27      3.8195
↗0.025, 0.65%
28      3.8510
↘0.032, 0.83%
29      3.8510
→0.000, 0.00%
30      3.8510
↗0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-06-01”),3.925,3.93],[new Date(“2019-06-02”),3.926,3.93],[new Date(“2019-06-03”),3.886,3.89],[new Date(“2019-06-04”),3.855,3.86],[new Date(“2019-06-05”),3.881,3.88],[new Date(“2019-06-06”),3.880,3.88],[new Date(“2019-06-07”),3.878,3.88],[new Date(“2019-06-08”),3.878,3.88],[new Date(“2019-06-09”),3.878,3.88],[new Date(“2019-06-10”),3.886,3.89],[new Date(“2019-06-11”),3.857,3.86],[new Date(“2019-06-12”),3.867,3.87],[new Date(“2019-06-13”),3.850,3.85],[new Date(“2019-06-14”),3.897,3.90],[new Date(“2019-06-15”),3.888,3.89],[new Date(“2019-06-16”),3.896,3.90],[new Date(“2019-06-17”),3.889,3.89],[new Date(“2019-06-18”),3.861,3.86],[new Date(“2019-06-19”),3.839,3.84],[new Date(“2019-06-20”),3.839,3.84],[new Date(“2019-06-21”),3.822,3.82],[new Date(“2019-06-22”),3.822,3.82],[new Date(“2019-06-23”),3.822,3.82],[new Date(“2019-06-24”),3.827,3.83],[new Date(“2019-06-25”),3.847,3.85],[new Date(“2019-06-26”),3.844,3.84],[new Date(“2019-06-27”),3.820,3.82],[new Date(“2019-06-28”),3.851,3.85],[new Date(“2019-06-29”),3.851,3.85],[new Date(“2019-06-30″),3.851,3.85],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2019

01      3.9208
02      3.9677
↘0.047, 1.20%
03      3.9390
↗0.029, 0.72%
04      3.9390
→0.000, 0.00%
05      3.9381
↗0.001, 0.02%
06      3.9697
↘0.032, 0.80%
07      3.9702
↘0.001, 0.01%
08      3.9278
↗0.042, 1.07%
09      3.9469
↘0.019, 0.49%
10      3.9572
↘0.010, 0.26%
11      3.9572
→0.000, 0.00%
12      3.9612
↘0.004, 0.10%
13      3.9941
↘0.033, 0.83%
14      3.9766
↗0.017, 0.44%
15      4.0014
↘0.025, 0.62%
16      4.0477
↘0.046, 1.16%
17      4.0992
↘0.052, 1.27%
18      4.0992
→0.000, 0.00%
19      4.0989
↗0.000, 0.01%
20      4.0964
↗0.002, 0.06%
21      4.0395
↗0.057, 1.39%
22      4.0404
↘0.001, 0.02%
23      4.0423
↘0.002, 0.05%
24      4.0226
↗0.020, 0.49%
25      4.0223
↗0.000, 0.01%
26      4.0227
↘0.000, 0.01%
27      4.0436
↘0.021, 0.52%
28      4.0251
↗0.018, 0.46%
29      3.9749
↗0.050, 1.25%
30      3.9815
↘0.007, 0.17%
31      3.9250
↗0.056, 1.42%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-05-01”),3.921,3.92],[new Date(“2019-05-02”),3.968,3.97],[new Date(“2019-05-03”),3.939,3.94],[new Date(“2019-05-04”),3.939,3.94],[new Date(“2019-05-05”),3.938,3.94],[new Date(“2019-05-06”),3.970,3.97],[new Date(“2019-05-07”),3.970,3.97],[new Date(“2019-05-08”),3.928,3.93],[new Date(“2019-05-09”),3.947,3.95],[new Date(“2019-05-10”),3.957,3.96],[new Date(“2019-05-11”),3.957,3.96],[new Date(“2019-05-12”),3.961,3.96],[new Date(“2019-05-13”),3.994,3.99],[new Date(“2019-05-14”),3.977,3.98],[new Date(“2019-05-15”),4.001,4.00],[new Date(“2019-05-16”),4.048,4.05],[new Date(“2019-05-17”),4.099,4.10],[new Date(“2019-05-18”),4.099,4.10],[new Date(“2019-05-19”),4.099,4.10],[new Date(“2019-05-20”),4.096,4.10],[new Date(“2019-05-21”),4.039,4.04],[new Date(“2019-05-22”),4.040,4.04],[new Date(“2019-05-23”),4.042,4.04],[new Date(“2019-05-24”),4.023,4.02],[new Date(“2019-05-25”),4.022,4.02],[new Date(“2019-05-26”),4.023,4.02],[new Date(“2019-05-27”),4.044,4.04],[new Date(“2019-05-28”),4.025,4.03],[new Date(“2019-05-29”),3.975,3.97],[new Date(“2019-05-30”),3.981,3.98],[new Date(“2019-05-31″),3.925,3.93],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2019

01      3.8521
02      3.8538
↘0.002, 0.05%
03      3.8698
↘0.016, 0.42%
04      3.8574
↗0.012, 0.32%
05      3.8753
↘0.018, 0.46%
06      3.8753
→0.000, 0.00%
07      3.8755
↘0.000, 0.01%
08      3.8497
↗0.026, 0.67%
09      3.8495
↗0.000, 0.01%
10      3.8255
↗0.024, 0.62%
11      3.8573
↘0.032, 0.83%
12      3.8819
↘0.025, 0.64%
13      3.8758
↗0.006, 0.16%
14      3.8810
↘0.005, 0.13%
15      3.8719
↗0.009, 0.23%
16      3.9053
↘0.033, 0.86%
17      3.9382
↘0.033, 0.84%
18      3.9282
↗0.010, 0.25%
19      3.9360
↘0.008, 0.20%
20      3.9360
→0.000, 0.00%
21      3.9360
↗0.000, 0.00%
22      3.9356
↗0.000, 0.01%
23      3.9198
↗0.016, 0.40%
24      3.9911
↘0.071, 1.82%
25      3.9542
↗0.037, 0.92%
26      3.9299
↗0.024, 0.61%
27      3.9250
↗0.005, 0.12%
28      3.9307
↘0.006, 0.14%
29      3.9458
↘0.015, 0.38%
30      3.9184
↗0.027, 0.69%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-04-01”),3.852,3.85],[new Date(“2019-04-02”),3.854,3.85],[new Date(“2019-04-03”),3.870,3.87],[new Date(“2019-04-04”),3.857,3.86],[new Date(“2019-04-05”),3.875,3.88],[new Date(“2019-04-06”),3.875,3.88],[new Date(“2019-04-07”),3.876,3.88],[new Date(“2019-04-08”),3.850,3.85],[new Date(“2019-04-09”),3.850,3.85],[new Date(“2019-04-10”),3.826,3.83],[new Date(“2019-04-11”),3.857,3.86],[new Date(“2019-04-12”),3.882,3.88],[new Date(“2019-04-13”),3.876,3.88],[new Date(“2019-04-14”),3.881,3.88],[new Date(“2019-04-15”),3.872,3.87],[new Date(“2019-04-16”),3.905,3.91],[new Date(“2019-04-17”),3.938,3.94],[new Date(“2019-04-18”),3.928,3.93],[new Date(“2019-04-19”),3.936,3.94],[new Date(“2019-04-20”),3.936,3.94],[new Date(“2019-04-21”),3.936,3.94],[new Date(“2019-04-22”),3.936,3.94],[new Date(“2019-04-23”),3.920,3.92],[new Date(“2019-04-24”),3.991,3.99],[new Date(“2019-04-25”),3.954,3.95],[new Date(“2019-04-26”),3.930,3.93],[new Date(“2019-04-27”),3.925,3.93],[new Date(“2019-04-28”),3.931,3.93],[new Date(“2019-04-29”),3.946,3.95],[new Date(“2019-04-30″),3.918,3.92],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2019

01      3.7764
02      3.7742
↗0.002, 0.06%
03      3.7742
↗0.000, 0.00%
04      3.7756
↘0.001, 0.04%
05      3.7759
↘0.000, 0.01%
06      3.8404
↘0.064, 1.71%
07      3.8708
↘0.030, 0.79%
08      3.8696
↗0.001, 0.03%
09      3.8696
→0.000, 0.00%
10      3.8666
↗0.003, 0.08%
11      3.8388
↗0.028, 0.72%
12      3.8131
↗0.026, 0.67%
13      3.8148
↘0.002, 0.04%
14      3.8420
↘0.027, 0.71%
15      3.8145
↗0.027, 0.71%
16      3.8145
→0.000, 0.00%
17      3.8145
↗0.000, 0.00%
18      3.7915
↗0.023, 0.60%
19      3.7892
↗0.002, 0.06%
20      3.7757
↗0.014, 0.36%
21      3.7925
↘0.017, 0.44%
22      3.9075
↘0.115, 3.03%
23      3.9055
↗0.002, 0.05%
24      3.9075
↘0.002, 0.05%
25      3.8551
↗0.052, 1.34%
26      3.8765
↘0.021, 0.56%
27      3.9918
↘0.115, 2.97%
28      3.9013
↗0.090, 2.27%
29      3.9231
↘0.022, 0.56%
30      3.9231
→0.000, 0.00%
31      3.9255
↘0.002, 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(“2019-03-01”),3.776,3.78],[new Date(“2019-03-02”),3.774,3.77],[new Date(“2019-03-03”),3.774,3.77],[new Date(“2019-03-04”),3.776,3.78],[new Date(“2019-03-05”),3.776,3.78],[new Date(“2019-03-06”),3.840,3.84],[new Date(“2019-03-07”),3.871,3.87],[new Date(“2019-03-08”),3.870,3.87],[new Date(“2019-03-09”),3.870,3.87],[new Date(“2019-03-10”),3.867,3.87],[new Date(“2019-03-11”),3.839,3.84],[new Date(“2019-03-12”),3.813,3.81],[new Date(“2019-03-13”),3.815,3.81],[new Date(“2019-03-14”),3.842,3.84],[new Date(“2019-03-15”),3.815,3.81],[new Date(“2019-03-16”),3.815,3.81],[new Date(“2019-03-17”),3.815,3.81],[new Date(“2019-03-18”),3.791,3.79],[new Date(“2019-03-19”),3.789,3.79],[new Date(“2019-03-20”),3.776,3.78],[new Date(“2019-03-21”),3.793,3.79],[new Date(“2019-03-22”),3.908,3.91],[new Date(“2019-03-23”),3.906,3.91],[new Date(“2019-03-24”),3.908,3.91],[new Date(“2019-03-25”),3.855,3.86],[new Date(“2019-03-26”),3.876,3.88],[new Date(“2019-03-27”),3.992,3.99],[new Date(“2019-03-28”),3.901,3.90],[new Date(“2019-03-29”),3.923,3.92],[new Date(“2019-03-30”),3.923,3.92],[new Date(“2019-03-31″),3.925,3.93],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2019

01      3.6598
02      3.6598
→0.000, 0.00%
03      3.6588
↗0.001, 0.03%
04      3.6685
↘0.010, 0.27%
05      3.6698
↘0.001, 0.04%
06      3.6982
↘0.028, 0.77%
07      3.7164
↘0.018, 0.49%
08      3.7301
↘0.014, 0.37%
09      3.7293
↗0.001, 0.02%
10      3.7301
↘0.001, 0.02%
11      3.7567
↘0.027, 0.71%
12      3.7095
↗0.047, 1.26%
13      3.7547
↘0.045, 1.22%
14      3.7235
↗0.031, 0.83%
15      3.7005
↗0.023, 0.62%
16      3.7005
→0.000, 0.00%
17      3.7001
↗0.000, 0.01%
18      3.7332
↘0.033, 0.89%
19      3.7235
↗0.010, 0.26%
20      3.7255
↘0.002, 0.05%
21      3.7680
↘0.043, 1.14%
22      3.7482
↗0.020, 0.53%
23      3.7485
↘0.000, 0.01%
24      3.7478
↗0.001, 0.02%
25      3.7519
↘0.004, 0.11%
26      3.7486
↗0.003, 0.09%
27      3.7288
↗0.020, 0.53%
28      3.7510
↘0.022, 0.60%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-02-01”),3.660,3.66],[new Date(“2019-02-02”),3.660,3.66],[new Date(“2019-02-03”),3.659,3.66],[new Date(“2019-02-04”),3.669,3.67],[new Date(“2019-02-05”),3.670,3.67],[new Date(“2019-02-06”),3.698,3.70],[new Date(“2019-02-07”),3.716,3.72],[new Date(“2019-02-08”),3.730,3.73],[new Date(“2019-02-09”),3.729,3.73],[new Date(“2019-02-10”),3.730,3.73],[new Date(“2019-02-11”),3.757,3.76],[new Date(“2019-02-12”),3.710,3.71],[new Date(“2019-02-13”),3.755,3.75],[new Date(“2019-02-14”),3.723,3.72],[new Date(“2019-02-15”),3.701,3.70],[new Date(“2019-02-16”),3.701,3.70],[new Date(“2019-02-17”),3.700,3.70],[new Date(“2019-02-18”),3.733,3.73],[new Date(“2019-02-19”),3.724,3.72],[new Date(“2019-02-20”),3.726,3.73],[new Date(“2019-02-21”),3.768,3.77],[new Date(“2019-02-22”),3.748,3.75],[new Date(“2019-02-23”),3.749,3.75],[new Date(“2019-02-24”),3.748,3.75],[new Date(“2019-02-25”),3.752,3.75],[new Date(“2019-02-26”),3.749,3.75],[new Date(“2019-02-27”),3.729,3.73],[new Date(“2019-02-28″),3.751,3.75],]);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_2’));
chart.draw(data, options);
}

January, 2019

01      3.8814
02      3.7899
↗0.092, 2.36%
03      3.7566
↗0.033, 0.88%
04      3.7152
↗0.041, 1.10%
05      3.7153
↘0.000, 0.00%
06      3.7152
↗0.000, 0.00%
07      3.7356
↘0.020, 0.55%
08      3.7139
↗0.022, 0.58%
09      3.6815
↗0.032, 0.87%
10      3.7114
↘0.030, 0.81%
11      3.7114
↘0.000, 0.00%
12      3.7114
→0.000, 0.00%
13      3.7115
↘0.000, 0.00%
14      3.6990
↗0.012, 0.34%
15      3.7179
↘0.019, 0.51%
16      3.7358
↘0.018, 0.48%
17      3.7504
↘0.015, 0.39%
18      3.7531
↘0.003, 0.07%
19      3.7531
→0.000, 0.00%
20      3.7517
↗0.001, 0.04%
21      3.7549
↘0.003, 0.09%
22      3.8156
↘0.061, 1.62%
23      3.7658
↗0.050, 1.30%
24      3.7734
↘0.008, 0.20%
25      3.7711
↗0.002, 0.06%
26      3.7754
↘0.004, 0.11%
27      3.7711
↗0.004, 0.11%
28      3.7611
↗0.010, 0.27%
29      3.7197
↗0.041, 1.10%
30      3.6849
↗0.035, 0.94%
31      3.6443
↗0.041, 1.10%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-01-01”),3.881,3.88],[new Date(“2019-01-02”),3.790,3.79],[new Date(“2019-01-03”),3.757,3.76],[new Date(“2019-01-04”),3.715,3.72],[new Date(“2019-01-05”),3.715,3.72],[new Date(“2019-01-06”),3.715,3.72],[new Date(“2019-01-07”),3.736,3.74],[new Date(“2019-01-08”),3.714,3.71],[new Date(“2019-01-09”),3.682,3.68],[new Date(“2019-01-10”),3.711,3.71],[new Date(“2019-01-11”),3.711,3.71],[new Date(“2019-01-12”),3.711,3.71],[new Date(“2019-01-13”),3.711,3.71],[new Date(“2019-01-14”),3.699,3.70],[new Date(“2019-01-15”),3.718,3.72],[new Date(“2019-01-16”),3.736,3.74],[new Date(“2019-01-17”),3.750,3.75],[new Date(“2019-01-18”),3.753,3.75],[new Date(“2019-01-19”),3.753,3.75],[new Date(“2019-01-20”),3.752,3.75],[new Date(“2019-01-21”),3.755,3.75],[new Date(“2019-01-22”),3.816,3.82],[new Date(“2019-01-23”),3.766,3.77],[new Date(“2019-01-24”),3.773,3.77],[new Date(“2019-01-25”),3.771,3.77],[new Date(“2019-01-26”),3.775,3.78],[new Date(“2019-01-27”),3.771,3.77],[new Date(“2019-01-28”),3.761,3.76],[new Date(“2019-01-29”),3.720,3.72],[new Date(“2019-01-30”),3.685,3.68],[new Date(“2019-01-31″),3.644,3.64],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
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