Ethiopian Birr ETB 2019 Conversion Rates

  • Opening Value is 28.103497 ETB per Dollar
  • Closing Value is 31.960850 ETB per Dollar
  • Change in Value during 2019 is 3.8574 which is 13.73%
  • Best Performance is on 2019-07-09 with 27.704978 ETB per Dollar
  • Lowest Performance is on 2019-12-27,2019-12-28 with 32.080392 ETB per Dollar
  • Average Value is 29.2647 ETB per Dollar
  • Swing Between the higest and the lowest is 4.3754 per Dollar, that is 15.57% compared to the opening value.

USD to ETB Conversion Rates – 12 months

Date 1 USD =
2019-12-31 31.9609 ETB
2019-11-30 30.5972 ETB
2019-10-31 29.6994 ETB
2019-09-30 29.4835 ETB
2019-08-31 29.5250 ETB
2019-07-31 29.0300 ETB
2019-06-30 29.1029 ETB
2019-05-31 29.1039 ETB
2019-04-30 28.9100 ETB
2019-03-31 28.8298 ETB
2019-02-28 28.5981 ETB
2019-01-31 28.1625 ETB
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”);
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‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2019

01      30.5972
02      30.7497
↘0.152, 0.50%
03      30.7502
↘0.000, 0.00%
04      30.7504
↘0.000, 0.00%
05      30.8497
↘0.099, 0.32%
06      31.3504
↘0.501, 1.62%
07      31.3504
→0.000, 0.00%
08      31.3497
↗0.001, 0.00%
09      31.6029
↘0.253, 0.81%
10      31.5995
↗0.003, 0.01%
11      31.6200
↘0.020, 0.06%
12      31.6103
↗0.010, 0.03%
13      31.6504
↘0.040, 0.13%
14      31.6504
→0.000, 0.00%
15      31.6501
↗0.000, 0.00%
16      31.6503
↘0.000, 0.00%
17      31.6179
↗0.032, 0.10%
18      31.7953
↘0.177, 0.56%
19      31.8028
↘0.007, 0.02%
20      31.8039
↘0.001, 0.00%
21      31.8039
→0.000, 0.00%
22      31.8014
↗0.002, 0.01%
23      31.9500
↘0.149, 0.47%
24      31.9497
↗0.000, 0.00%
25      31.7876
↗0.162, 0.51%
26      32.0502
↘0.263, 0.83%
27      32.0804
↘0.030, 0.09%
28      32.0804
→0.000, 0.00%
29      32.0799
↗0.000, 0.00%
30      31.9502
↗0.130, 0.40%
31      31.9609
↘0.011, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
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November, 2019

01      29.5846
02      29.5846
→0.000, 0.00%
03      29.5846
→0.000, 0.00%
04      29.7003
↘0.116, 0.39%
05      29.6020
↗0.098, 0.33%
06      29.8949
↘0.293, 0.99%
07      29.9097
↘0.015, 0.05%
08      29.9039
↗0.006, 0.02%
09      29.9039
→0.000, 0.00%
10      29.9054
↘0.002, 0.01%
11      29.9029
↗0.002, 0.01%
12      29.8946
↗0.008, 0.03%
13      29.6311
↗0.264, 0.88%
14      29.7497
↘0.119, 0.40%
15      29.7504
↘0.001, 0.00%
16      29.3487
↗0.402, 1.35%
17      29.3487
→0.000, 0.00%
18      30.0863
↘0.738, 2.51%
19      29.7981
↗0.288, 0.96%
20      29.7997
↘0.002, 0.01%
21      29.8199
↘0.020, 0.07%
22      29.8204
↘0.000, 0.00%
23      29.8204
→0.000, 0.00%
24      29.8200
↗0.000, 0.00%
25      30.4750
↘0.655, 2.20%
26      30.5995
↘0.125, 0.41%
27      30.6059
↘0.006, 0.02%
28      30.5615
↗0.044, 0.15%
29      30.6039
↘0.042, 0.14%
30      30.5972
↗0.007, 0.02%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
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October, 2019

01      29.1945
02      29.3280
↘0.134, 0.46%
03      29.6302
↘0.302, 1.03%
04      29.6604
↘0.030, 0.10%
05      29.4655
↗0.195, 0.66%
06      29.4655
↗0.000, 0.00%
07      29.6499
↘0.184, 0.63%
08      29.6029
↗0.047, 0.16%
09      29.5976
↗0.005, 0.02%
10      29.5503
↗0.047, 0.16%
11      29.5704
↘0.020, 0.07%
12      29.5704
→0.000, 0.00%
13      29.4761
↗0.094, 0.32%
14      29.3501
↗0.126, 0.43%
15      29.6501
↘0.300, 1.02%
16      29.6501
↗0.000, 0.00%
17      29.7099
↘0.060, 0.20%
18      29.7039
↗0.006, 0.02%
19      29.7039
→0.000, 0.00%
20      29.7096
↘0.006, 0.02%
21      29.7091
↗0.000, 0.00%
22      29.6959
↗0.013, 0.04%
23      29.7499
↘0.054, 0.18%
24      29.7499
↗0.000, 0.00%
25      29.8039
↘0.054, 0.18%
26      29.8039
→0.000, 0.00%
27      29.7384
↗0.065, 0.22%
28      29.7983
↘0.060, 0.20%
29      29.7202
↗0.078, 0.26%
30      29.6977
↗0.023, 0.08%
31      29.6994
↘0.002, 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(“2019-10-01”),29.195,29.19],[new Date(“2019-10-02”),29.328,29.33],[new Date(“2019-10-03”),29.630,29.63],[new Date(“2019-10-04”),29.660,29.66],[new Date(“2019-10-05”),29.466,29.47],[new Date(“2019-10-06”),29.466,29.47],[new Date(“2019-10-07”),29.650,29.65],[new Date(“2019-10-08”),29.603,29.60],[new Date(“2019-10-09”),29.598,29.60],[new Date(“2019-10-10”),29.550,29.55],[new Date(“2019-10-11”),29.570,29.57],[new Date(“2019-10-12”),29.570,29.57],[new Date(“2019-10-13”),29.476,29.48],[new Date(“2019-10-14”),29.350,29.35],[new Date(“2019-10-15”),29.650,29.65],[new Date(“2019-10-16”),29.650,29.65],[new Date(“2019-10-17”),29.710,29.71],[new Date(“2019-10-18”),29.704,29.70],[new Date(“2019-10-19”),29.704,29.70],[new Date(“2019-10-20”),29.710,29.71],[new Date(“2019-10-21”),29.709,29.71],[new Date(“2019-10-22”),29.696,29.70],[new Date(“2019-10-23”),29.750,29.75],[new Date(“2019-10-24”),29.750,29.75],[new Date(“2019-10-25”),29.804,29.80],[new Date(“2019-10-26”),29.804,29.80],[new Date(“2019-10-27”),29.738,29.74],[new Date(“2019-10-28”),29.798,29.80],[new Date(“2019-10-29”),29.720,29.72],[new Date(“2019-10-30”),29.698,29.70],[new Date(“2019-10-31″),29.699,29.70],]);var options = {
hAxis: {
title: ‘Date’
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
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September, 2019

01      29.5250
02      29.1480
↗0.377, 1.28%
03      29.5750
↘0.427, 1.47%
04      29.5901
↘0.015, 0.05%
05      29.4500
↗0.140, 0.47%
06      29.4504
↘0.000, 0.00%
07      29.1105
↗0.340, 1.15%
08      29.1105
→0.000, 0.00%
09      29.1270
↘0.016, 0.06%
10      29.3505
↘0.224, 0.77%
11      29.4499
↘0.099, 0.34%
12      29.1940
↗0.256, 0.87%
13      29.3335
↘0.140, 0.48%
14      29.3335
→0.000, 0.00%
15      29.3335
↗0.000, 0.00%
16      29.4750
↘0.142, 0.48%
17      29.4750
↗0.000, 0.00%
18      29.4995
↘0.025, 0.08%
19      29.5497
↘0.050, 0.17%
20      29.5039
↗0.046, 0.16%
21      29.5039
→0.000, 0.00%
22      29.4912
↗0.013, 0.04%
23      29.4981
↘0.007, 0.02%
24      29.4532
↗0.045, 0.15%
25      29.5503
↘0.097, 0.33%
26      29.5502
↗0.000, 0.00%
27      29.5250
↗0.025, 0.09%
28      29.4035
↗0.122, 0.41%
29      29.4035
↗0.000, 0.00%
30      29.4835
↘0.080, 0.27%
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”);
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title: ‘Date’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
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August, 2019

01      29.0503
02      29.0404
↗0.010, 0.03%
03      29.0404
→0.000, 0.00%
04      29.0403
↗0.000, 0.00%
05      29.0504
↘0.010, 0.03%
06      29.0404
↗0.010, 0.03%
07      29.0499
↘0.009, 0.03%
08      29.0498
↗0.000, 0.00%
09      29.0004
↗0.049, 0.17%
10      29.0004
→0.000, 0.00%
11      28.9999
↗0.000, 0.00%
12      29.2265
↘0.227, 0.78%
13      29.1710
↗0.056, 0.19%
14      29.2185
↘0.048, 0.16%
15      29.2295
↘0.011, 0.04%
16      29.2280
↗0.001, 0.00%
17      29.2280
→0.000, 0.00%
18      29.2280
↗0.000, 0.00%
19      29.2010
↗0.027, 0.09%
20      29.2505
↘0.050, 0.17%
21      29.2460
↗0.004, 0.02%
22      29.2680
↘0.022, 0.08%
23      29.2580
↗0.010, 0.03%
24      28.7765
↗0.482, 1.65%
25      28.7765
↗0.000, 0.00%
26      28.9999
↘0.223, 0.78%
27      29.2504
↘0.251, 0.86%
28      29.5497
↘0.299, 1.02%
29      29.5250
↗0.025, 0.08%
30      29.5250
↘0.000, 0.00%
31      29.5250
→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”);
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‘colors’:[”]
};
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chart.draw(data, options);
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July, 2019

01      29.1375
02      29.1625
↘0.025, 0.09%
03      29.1298
↗0.033, 0.11%
04      28.8935
↗0.236, 0.81%
05      29.1039
↘0.210, 0.73%
06      29.1039
→0.000, 0.00%
07      29.1035
↗0.000, 0.00%
08      28.7498
↗0.354, 1.22%
09      27.7050
↗1.045, 3.63%
10      29.0898
↘1.385, 5.00%
11      29.0502
↗0.040, 0.14%
12      29.0504
↘0.000, 0.00%
13      29.0504
→0.000, 0.00%
14      29.0500
↗0.000, 0.00%
15      29.0002
↗0.050, 0.17%
16      28.8570
↗0.143, 0.49%
17      28.9997
↘0.143, 0.49%
18      29.0302
↘0.031, 0.11%
19      29.0104
↗0.020, 0.07%
20      28.7235
↗0.287, 0.99%
21      28.7235
↗0.000, 0.00%
22      29.0050
↘0.281, 0.98%
23      29.0001
↗0.005, 0.02%
24      29.0004
↘0.000, 0.00%
25      28.9502
↗0.050, 0.17%
26      29.0504
↘0.100, 0.35%
27      29.0504
→0.000, 0.00%
28      29.0496
↗0.001, 0.00%
29      29.0502
↘0.001, 0.00%
30      29.0502
↘0.000, 0.00%
31      29.0300
↗0.020, 0.07%
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”),29.137,29.14],[new Date(“2019-07-02”),29.163,29.16],[new Date(“2019-07-03”),29.130,29.13],[new Date(“2019-07-04”),28.893,28.89],[new Date(“2019-07-05”),29.104,29.10],[new Date(“2019-07-06”),29.104,29.10],[new Date(“2019-07-07”),29.104,29.10],[new Date(“2019-07-08”),28.750,28.75],[new Date(“2019-07-09”),27.705,27.70],[new Date(“2019-07-10”),29.090,29.09],[new Date(“2019-07-11”),29.050,29.05],[new Date(“2019-07-12”),29.050,29.05],[new Date(“2019-07-13”),29.050,29.05],[new Date(“2019-07-14”),29.050,29.05],[new Date(“2019-07-15”),29.000,29.00],[new Date(“2019-07-16”),28.857,28.86],[new Date(“2019-07-17”),29.000,29.00],[new Date(“2019-07-18”),29.030,29.03],[new Date(“2019-07-19”),29.010,29.01],[new Date(“2019-07-20”),28.724,28.72],[new Date(“2019-07-21”),28.723,28.72],[new Date(“2019-07-22”),29.005,29.00],[new Date(“2019-07-23”),29.000,29.00],[new Date(“2019-07-24”),29.000,29.00],[new Date(“2019-07-25”),28.950,28.95],[new Date(“2019-07-26”),29.050,29.05],[new Date(“2019-07-27”),29.050,29.05],[new Date(“2019-07-28”),29.050,29.05],[new Date(“2019-07-29”),29.050,29.05],[new Date(“2019-07-30”),29.050,29.05],[new Date(“2019-07-31″),29.030,29.03],]);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      29.1039
02      28.6325
↗0.471, 1.62%
03      29.0750
↘0.443, 1.55%
04      29.0894
↘0.014, 0.05%
05      29.0820
↗0.007, 0.03%
06      29.0986
↘0.017, 0.06%
07      29.1204
↘0.022, 0.07%
08      29.1204
→0.000, 0.00%
09      29.1203
↗0.000, 0.00%
10      29.0597
↗0.061, 0.21%
11      29.0978
↘0.038, 0.13%
12      29.1201
↘0.022, 0.08%
13      29.1032
↗0.017, 0.06%
14      29.1204
↘0.017, 0.06%
15      28.9245
↗0.196, 0.67%
16      28.9245
↗0.000, 0.00%
17      29.0903
↘0.166, 0.57%
18      29.0503
↗0.040, 0.14%
19      29.0499
↗0.000, 0.00%
20      29.0398
↗0.010, 0.03%
21      28.7795
↗0.260, 0.90%
22      28.7795
→0.000, 0.00%
23      28.7795
↗0.000, 0.00%
24      29.0501
↘0.271, 0.94%
25      28.6630
↗0.387, 1.33%
26      29.0697
↘0.407, 1.42%
27      29.0250
↗0.045, 0.15%
28      29.1039
↘0.079, 0.27%
29      29.1039
→0.000, 0.00%
30      29.1029
↗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(“2019-06-01”),29.104,29.10],[new Date(“2019-06-02”),28.633,28.63],[new Date(“2019-06-03”),29.075,29.08],[new Date(“2019-06-04”),29.089,29.09],[new Date(“2019-06-05”),29.082,29.08],[new Date(“2019-06-06”),29.099,29.10],[new Date(“2019-06-07”),29.120,29.12],[new Date(“2019-06-08”),29.120,29.12],[new Date(“2019-06-09”),29.120,29.12],[new Date(“2019-06-10”),29.060,29.06],[new Date(“2019-06-11”),29.098,29.10],[new Date(“2019-06-12”),29.120,29.12],[new Date(“2019-06-13”),29.103,29.10],[new Date(“2019-06-14”),29.120,29.12],[new Date(“2019-06-15”),28.925,28.92],[new Date(“2019-06-16”),28.925,28.92],[new Date(“2019-06-17”),29.090,29.09],[new Date(“2019-06-18”),29.050,29.05],[new Date(“2019-06-19”),29.050,29.05],[new Date(“2019-06-20”),29.040,29.04],[new Date(“2019-06-21”),28.780,28.78],[new Date(“2019-06-22”),28.780,28.78],[new Date(“2019-06-23”),28.779,28.78],[new Date(“2019-06-24”),29.050,29.05],[new Date(“2019-06-25”),28.663,28.66],[new Date(“2019-06-26”),29.070,29.07],[new Date(“2019-06-27”),29.025,29.03],[new Date(“2019-06-28”),29.104,29.10],[new Date(“2019-06-29”),29.104,29.10],[new Date(“2019-06-30″),29.103,29.10],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2019

01      28.9100
02      28.9504
↘0.040, 0.14%
03      29.0004
↘0.050, 0.17%
04      29.0004
→0.000, 0.00%
05      28.9998
↗0.001, 0.00%
06      28.9499
↗0.050, 0.17%
07      28.9497
↗0.000, 0.00%
08      28.9501
↘0.000, 0.00%
09      28.9350
↗0.015, 0.05%
10      29.0050
↘0.070, 0.24%
11      29.0050
→0.000, 0.00%
12      29.0050
↗0.000, 0.00%
13      29.0001
↗0.005, 0.02%
14      28.9800
↗0.020, 0.07%
15      29.0003
↘0.020, 0.07%
16      29.0104
↘0.010, 0.03%
17      29.0250
↘0.015, 0.05%
18      29.0250
→0.000, 0.00%
19      29.0250
↗0.000, 0.00%
20      29.0050
↗0.020, 0.07%
21      29.0050
↘0.000, 0.00%
22      28.8950
↗0.110, 0.38%
23      29.0750
↘0.180, 0.62%
24      29.0750
↘0.000, 0.00%
25      28.8020
↗0.273, 0.94%
26      28.8020
↗0.000, 0.00%
27      28.6585
↗0.143, 0.50%
28      28.9531
↘0.295, 1.03%
29      29.0750
↘0.122, 0.42%
30      29.0902
↘0.015, 0.05%
31      29.1039
↘0.014, 0.05%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-05-01”),28.910,28.91],[new Date(“2019-05-02”),28.950,28.95],[new Date(“2019-05-03”),29.000,29.00],[new Date(“2019-05-04”),29.000,29.00],[new Date(“2019-05-05”),29.000,29.00],[new Date(“2019-05-06”),28.950,28.95],[new Date(“2019-05-07”),28.950,28.95],[new Date(“2019-05-08”),28.950,28.95],[new Date(“2019-05-09”),28.935,28.93],[new Date(“2019-05-10”),29.005,29.01],[new Date(“2019-05-11”),29.005,29.01],[new Date(“2019-05-12”),29.005,29.00],[new Date(“2019-05-13”),29.000,29.00],[new Date(“2019-05-14”),28.980,28.98],[new Date(“2019-05-15”),29.000,29.00],[new Date(“2019-05-16”),29.010,29.01],[new Date(“2019-05-17”),29.025,29.03],[new Date(“2019-05-18”),29.025,29.03],[new Date(“2019-05-19”),29.025,29.02],[new Date(“2019-05-20”),29.005,29.01],[new Date(“2019-05-21”),29.005,29.01],[new Date(“2019-05-22”),28.895,28.90],[new Date(“2019-05-23”),29.075,29.07],[new Date(“2019-05-24”),29.075,29.08],[new Date(“2019-05-25”),28.802,28.80],[new Date(“2019-05-26”),28.802,28.80],[new Date(“2019-05-27”),28.659,28.66],[new Date(“2019-05-28”),28.953,28.95],[new Date(“2019-05-29”),29.075,29.08],[new Date(“2019-05-30”),29.090,29.09],[new Date(“2019-05-31″),29.104,29.10],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2019

01      28.7988
02      28.7750
↗0.024, 0.08%
03      28.8097
↘0.035, 0.12%
04      28.8024
↗0.007, 0.03%
05      28.9039
↘0.101, 0.35%
06      28.9039
→0.000, 0.00%
07      28.9069
↘0.003, 0.01%
08      28.8498
↗0.057, 0.20%
09      28.8502
↘0.000, 0.00%
10      28.8699
↘0.020, 0.07%
11      28.7540
↗0.116, 0.40%
12      28.9104
↘0.156, 0.54%
13      28.6735
↗0.237, 0.82%
14      28.6735
→0.000, 0.00%
15      28.8988
↘0.225, 0.79%
16      28.9106
↘0.012, 0.04%
17      28.8989
↗0.012, 0.04%
18      28.9102
↘0.011, 0.04%
19      28.9039
↗0.006, 0.02%
20      28.9039
→0.000, 0.00%
21      28.8984
↗0.005, 0.02%
22      28.8850
↗0.013, 0.05%
23      28.8970
↘0.012, 0.04%
24      28.9302
↘0.033, 0.11%
25      28.9203
↗0.010, 0.03%
26      28.9204
↘0.000, 0.00%
27      28.5470
↗0.373, 1.29%
28      28.5470
↗0.000, 0.00%
29      28.9350
↘0.388, 1.36%
30      28.9100
↗0.025, 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(“2019-04-01”),28.799,28.80],[new Date(“2019-04-02”),28.775,28.78],[new Date(“2019-04-03”),28.810,28.81],[new Date(“2019-04-04”),28.802,28.80],[new Date(“2019-04-05”),28.904,28.90],[new Date(“2019-04-06”),28.904,28.90],[new Date(“2019-04-07”),28.907,28.91],[new Date(“2019-04-08”),28.850,28.85],[new Date(“2019-04-09”),28.850,28.85],[new Date(“2019-04-10”),28.870,28.87],[new Date(“2019-04-11”),28.754,28.75],[new Date(“2019-04-12”),28.910,28.91],[new Date(“2019-04-13”),28.674,28.67],[new Date(“2019-04-14”),28.674,28.67],[new Date(“2019-04-15”),28.899,28.90],[new Date(“2019-04-16”),28.911,28.91],[new Date(“2019-04-17”),28.899,28.90],[new Date(“2019-04-18”),28.910,28.91],[new Date(“2019-04-19”),28.904,28.90],[new Date(“2019-04-20”),28.904,28.90],[new Date(“2019-04-21”),28.898,28.90],[new Date(“2019-04-22”),28.885,28.88],[new Date(“2019-04-23”),28.897,28.90],[new Date(“2019-04-24”),28.930,28.93],[new Date(“2019-04-25”),28.920,28.92],[new Date(“2019-04-26”),28.920,28.92],[new Date(“2019-04-27”),28.547,28.55],[new Date(“2019-04-28”),28.547,28.55],[new Date(“2019-04-29”),28.935,28.94],[new Date(“2019-04-30″),28.910,28.91],]);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_4’));
chart.draw(data, options);
}

March, 2019

01      28.5504
02      28.5504
→0.000, 0.00%
03      28.5505
↘0.000, 0.00%
04      28.5902
↘0.040, 0.14%
05      28.6009
↘0.011, 0.04%
06      28.6799
↘0.079, 0.28%
07      28.6600
↗0.020, 0.07%
08      28.6604
↘0.000, 0.00%
09      28.6604
→0.000, 0.00%
10      28.5085
↗0.152, 0.53%
11      28.6500
↘0.142, 0.50%
12      28.6550
↘0.005, 0.02%
13      28.6099
↗0.045, 0.16%
14      28.5958
↗0.014, 0.05%
15      28.6104
↘0.015, 0.05%
16      28.6104
→0.000, 0.00%
17      28.6103
↗0.000, 0.00%
18      28.4135
↗0.197, 0.69%
19      28.5803
↘0.167, 0.59%
20      28.6504
↘0.070, 0.25%
21      28.6350
↗0.015, 0.05%
22      28.6039
↗0.031, 0.11%
23      28.4940
↗0.110, 0.38%
24      28.4940
↗0.000, 0.00%
25      28.6250
↘0.131, 0.46%
26      28.6699
↘0.045, 0.16%
27      28.6104
↗0.060, 0.21%
28      28.6301
↘0.020, 0.07%
29      28.8304
↘0.200, 0.70%
30      28.8304
→0.000, 0.00%
31      28.8298
↗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(“2019-03-01”),28.550,28.55],[new Date(“2019-03-02”),28.550,28.55],[new Date(“2019-03-03”),28.550,28.55],[new Date(“2019-03-04”),28.590,28.59],[new Date(“2019-03-05”),28.601,28.60],[new Date(“2019-03-06”),28.680,28.68],[new Date(“2019-03-07”),28.660,28.66],[new Date(“2019-03-08”),28.660,28.66],[new Date(“2019-03-09”),28.660,28.66],[new Date(“2019-03-10”),28.508,28.51],[new Date(“2019-03-11”),28.650,28.65],[new Date(“2019-03-12”),28.655,28.65],[new Date(“2019-03-13”),28.610,28.61],[new Date(“2019-03-14”),28.596,28.60],[new Date(“2019-03-15”),28.610,28.61],[new Date(“2019-03-16”),28.610,28.61],[new Date(“2019-03-17”),28.610,28.61],[new Date(“2019-03-18”),28.413,28.41],[new Date(“2019-03-19”),28.580,28.58],[new Date(“2019-03-20”),28.650,28.65],[new Date(“2019-03-21”),28.635,28.64],[new Date(“2019-03-22”),28.604,28.60],[new Date(“2019-03-23”),28.494,28.49],[new Date(“2019-03-24”),28.494,28.49],[new Date(“2019-03-25”),28.625,28.63],[new Date(“2019-03-26”),28.670,28.67],[new Date(“2019-03-27”),28.610,28.61],[new Date(“2019-03-28”),28.630,28.63],[new Date(“2019-03-29”),28.830,28.83],[new Date(“2019-03-30”),28.830,28.83],[new Date(“2019-03-31″),28.830,28.83],]);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      28.5104
02      28.5104
→0.000, 0.00%
03      28.5101
↗0.000, 0.00%
04      28.5202
↘0.010, 0.04%
05      28.5250
↘0.005, 0.02%
06      28.5099
↗0.015, 0.05%
07      28.5502
↘0.040, 0.14%
08      28.5604
↘0.010, 0.04%
09      28.3855
↗0.175, 0.61%
10      28.3855
↗0.000, 0.00%
11      28.6050
↘0.219, 0.77%
12      28.5801
↗0.025, 0.09%
13      28.5803
↘0.000, 0.00%
14      28.6036
↘0.023, 0.08%
15      28.6039
↘0.000, 0.00%
16      28.6039
→0.000, 0.00%
17      28.6028
↗0.001, 0.00%
18      28.4198
↗0.183, 0.64%
19      28.5701
↘0.150, 0.53%
20      28.6036
↘0.033, 0.12%
21      28.6100
↘0.006, 0.02%
22      28.6039
↗0.006, 0.02%
23      28.4365
↗0.167, 0.59%
24      28.4365
↗0.000, 0.00%
25      28.6197
↘0.183, 0.64%
26      28.6201
↘0.000, 0.00%
27      28.5977
↗0.022, 0.08%
28      28.5981
↘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(“2019-02-01”),28.510,28.51],[new Date(“2019-02-02”),28.510,28.51],[new Date(“2019-02-03”),28.510,28.51],[new Date(“2019-02-04”),28.520,28.52],[new Date(“2019-02-05”),28.525,28.52],[new Date(“2019-02-06”),28.510,28.51],[new Date(“2019-02-07”),28.550,28.55],[new Date(“2019-02-08”),28.560,28.56],[new Date(“2019-02-09”),28.386,28.39],[new Date(“2019-02-10”),28.386,28.39],[new Date(“2019-02-11”),28.605,28.60],[new Date(“2019-02-12”),28.580,28.58],[new Date(“2019-02-13”),28.580,28.58],[new Date(“2019-02-14”),28.604,28.60],[new Date(“2019-02-15”),28.604,28.60],[new Date(“2019-02-16”),28.604,28.60],[new Date(“2019-02-17”),28.603,28.60],[new Date(“2019-02-18”),28.420,28.42],[new Date(“2019-02-19”),28.570,28.57],[new Date(“2019-02-20”),28.604,28.60],[new Date(“2019-02-21”),28.610,28.61],[new Date(“2019-02-22”),28.604,28.60],[new Date(“2019-02-23”),28.437,28.44],[new Date(“2019-02-24”),28.437,28.44],[new Date(“2019-02-25”),28.620,28.62],[new Date(“2019-02-26”),28.620,28.62],[new Date(“2019-02-27”),28.598,28.60],[new Date(“2019-02-28″),28.598,28.60],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2019

01      28.1035
02      28.4250
↘0.321, 1.14%
03      28.4350
↘0.010, 0.04%
04      28.4550
↘0.020, 0.07%
05      28.4550
→0.000, 0.00%
06      28.4550
↗0.000, 0.00%
07      28.3803
↗0.075, 0.26%
08      28.4798
↘0.099, 0.35%
09      28.1395
↗0.340, 1.19%
10      28.5050
↘0.365, 1.30%
11      28.5050
↘0.000, 0.00%
12      28.5050
→0.000, 0.00%
13      28.5050
↗0.000, 0.00%
14      28.4978
↗0.007, 0.03%
15      28.5103
↘0.012, 0.04%
16      28.5050
↗0.005, 0.02%
17      28.4503
↗0.055, 0.19%
18      28.4704
↘0.020, 0.07%
19      28.4704
→0.000, 0.00%
20      28.4702
↗0.000, 0.00%
21      28.2970
↗0.173, 0.61%
22      28.4801
↘0.183, 0.65%
23      28.4994
↘0.019, 0.07%
24      28.5250
↘0.026, 0.09%
25      28.5250
↘0.000, 0.00%
26      28.2550
↗0.270, 0.95%
27      28.2550
↗0.000, 0.00%
28      28.5303
↘0.275, 0.97%
29      28.5250
↗0.005, 0.02%
30      28.5305
↘0.005, 0.02%
31      28.1625
↗0.368, 1.29%
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”),28.103,28.10],[new Date(“2019-01-02”),28.425,28.42],[new Date(“2019-01-03”),28.435,28.43],[new Date(“2019-01-04”),28.455,28.46],[new Date(“2019-01-05”),28.455,28.46],[new Date(“2019-01-06”),28.455,28.45],[new Date(“2019-01-07”),28.380,28.38],[new Date(“2019-01-08”),28.480,28.48],[new Date(“2019-01-09”),28.140,28.14],[new Date(“2019-01-10”),28.505,28.50],[new Date(“2019-01-11”),28.505,28.51],[new Date(“2019-01-12”),28.505,28.51],[new Date(“2019-01-13”),28.505,28.50],[new Date(“2019-01-14”),28.498,28.50],[new Date(“2019-01-15”),28.510,28.51],[new Date(“2019-01-16”),28.505,28.51],[new Date(“2019-01-17”),28.450,28.45],[new Date(“2019-01-18”),28.470,28.47],[new Date(“2019-01-19”),28.470,28.47],[new Date(“2019-01-20”),28.470,28.47],[new Date(“2019-01-21”),28.297,28.30],[new Date(“2019-01-22”),28.480,28.48],[new Date(“2019-01-23”),28.499,28.50],[new Date(“2019-01-24”),28.525,28.52],[new Date(“2019-01-25”),28.525,28.53],[new Date(“2019-01-26”),28.255,28.26],[new Date(“2019-01-27”),28.255,28.26],[new Date(“2019-01-28”),28.530,28.53],[new Date(“2019-01-29”),28.525,28.53],[new Date(“2019-01-30”),28.530,28.53],[new Date(“2019-01-31″),28.162,28.16],]);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_1’));
chart.draw(data, options);
}