Ethiopian Birr ETB 2016 Conversion Rates

  • Opening Value is 21.203620 ETB per Dollar
  • Closing Value is 22.403876 ETB per Dollar
  • Change in Value during 2016 is 1.2003 which is 5.66%
  • Best Performance is on 2016-01-13 with 21.179770 ETB per Dollar
  • Lowest Performance is on 2016-12-30,2016-12-31 with 22.403876 ETB per Dollar
  • Average Value is 21.7675 ETB per Dollar
  • Swing Between the higest and the lowest is 1.2241 per Dollar, that is 5.77% compared to the opening value.

USD to ETB Conversion Rates – 12 months

Date 1 USD =
2016-12-31 22.4039 ETB
2016-11-30 22.2900 ETB
2016-10-31 22.1502 ETB
2016-09-30 22.0004 ETB
2016-08-31 21.9654 ETB
2016-07-31 21.8000 ETB
2016-06-30 21.8900 ETB
2016-05-31 21.7718 ETB
2016-04-30 21.6203 ETB
2016-03-31 21.5009 ETB
2016-02-29 21.3723 ETB
2016-01-31 21.3987 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”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-31”),22.404,22.40],[new Date(“2016-11-30”),22.290,22.29],[new Date(“2016-10-31”),22.150,22.15],[new Date(“2016-09-30”),22.000,22.00],[new Date(“2016-08-31”),21.965,21.97],[new Date(“2016-07-31”),21.800,21.80],[new Date(“2016-06-30”),21.890,21.89],[new Date(“2016-05-31”),21.772,21.77],[new Date(“2016-04-30”),21.620,21.62],[new Date(“2016-03-31”),21.501,21.50],[new Date(“2016-02-29”),21.372,21.37],[new Date(“2016-01-31”),21.399,21.40],]);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      22.2000
02      22.2504
↘0.050, 0.23%
03      22.2504
→0.000, 0.00%
04      22.2502
↗0.000, 0.00%
05      22.2403
↗0.010, 0.04%
06      22.3100
↘0.070, 0.31%
07      22.3000
↗0.010, 0.04%
08      22.3000
→0.000, 0.00%
09      22.2504
↗0.050, 0.22%
10      22.2504
→0.000, 0.00%
11      22.2501
↗0.000, 0.00%
12      22.2496
↗0.000, 0.00%
13      22.3100
↘0.060, 0.27%
14      22.3000
↗0.010, 0.04%
15      22.3000
→0.000, 0.00%
16      22.3000
→0.000, 0.00%
17      22.3000
→0.000, 0.00%
18      22.3000
→0.000, 0.00%
19      22.3000
→0.000, 0.00%
20      22.3497
↘0.050, 0.22%
21      22.3503
↘0.001, 0.00%
22      22.3000
↗0.050, 0.22%
23      22.3000
→0.000, 0.00%
24      22.3000
→0.000, 0.00%
25      22.3000
→0.000, 0.00%
26      22.3000
→0.000, 0.00%
27      22.3665
↘0.067, 0.30%
28      22.3916
↘0.025, 0.11%
29      22.3984
↘0.007, 0.03%
30      22.4039
↘0.005, 0.02%
31      22.4039
→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”),22.200,22.20],[new Date(“2016-12-02”),22.250,22.25],[new Date(“2016-12-03”),22.250,22.25],[new Date(“2016-12-04”),22.250,22.25],[new Date(“2016-12-05”),22.240,22.24],[new Date(“2016-12-06”),22.310,22.31],[new Date(“2016-12-07”),22.300,22.30],[new Date(“2016-12-08”),22.300,22.30],[new Date(“2016-12-09”),22.250,22.25],[new Date(“2016-12-10”),22.250,22.25],[new Date(“2016-12-11”),22.250,22.25],[new Date(“2016-12-12”),22.250,22.25],[new Date(“2016-12-13”),22.310,22.31],[new Date(“2016-12-14”),22.300,22.30],[new Date(“2016-12-15”),22.300,22.30],[new Date(“2016-12-16”),22.300,22.30],[new Date(“2016-12-17”),22.300,22.30],[new Date(“2016-12-18”),22.300,22.30],[new Date(“2016-12-19”),22.300,22.30],[new Date(“2016-12-20”),22.350,22.35],[new Date(“2016-12-21”),22.350,22.35],[new Date(“2016-12-22”),22.300,22.30],[new Date(“2016-12-23”),22.300,22.30],[new Date(“2016-12-24”),22.300,22.30],[new Date(“2016-12-25”),22.300,22.30],[new Date(“2016-12-26”),22.300,22.30],[new Date(“2016-12-27”),22.367,22.37],[new Date(“2016-12-28”),22.392,22.39],[new Date(“2016-12-29”),22.398,22.40],[new Date(“2016-12-30”),22.404,22.40],[new Date(“2016-12-31″),22.404,22.40],]);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      22.1100
02      22.1498
↘0.040, 0.18%
03      22.1059
↗0.044, 0.20%
04      22.1504
↘0.044, 0.20%
05      22.1504
→0.000, 0.00%
06      22.1500
↗0.000, 0.00%
07      22.1503
↘0.000, 0.00%
08      22.1497
↗0.001, 0.00%
09      22.1100
↗0.040, 0.18%
10      22.2100
↘0.100, 0.45%
11      22.2034
↗0.007, 0.03%
12      22.2034
→0.000, 0.00%
13      22.2034
↗0.000, 0.00%
14      22.2000
↗0.003, 0.02%
15      22.2000
→0.000, 0.00%
16      22.2000
→0.000, 0.00%
17      22.2000
→0.000, 0.00%
18      22.1039
↗0.096, 0.43%
19      22.1039
→0.000, 0.00%
20      22.0989
↗0.005, 0.02%
21      22.2000
↘0.101, 0.46%
22      22.2000
→0.000, 0.00%
23      22.2000
→0.000, 0.00%
24      22.2000
→0.000, 0.00%
25      22.2100
↘0.010, 0.05%
26      22.2000
↗0.010, 0.05%
27      22.2000
→0.000, 0.00%
28      22.2000
→0.000, 0.00%
29      22.2496
↘0.050, 0.22%
30      22.2900
↘0.040, 0.18%
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”),22.110,22.11],[new Date(“2016-11-02”),22.150,22.15],[new Date(“2016-11-03”),22.106,22.11],[new Date(“2016-11-04”),22.150,22.15],[new Date(“2016-11-05”),22.150,22.15],[new Date(“2016-11-06”),22.150,22.15],[new Date(“2016-11-07”),22.150,22.15],[new Date(“2016-11-08”),22.150,22.15],[new Date(“2016-11-09”),22.110,22.11],[new Date(“2016-11-10”),22.210,22.21],[new Date(“2016-11-11”),22.203,22.20],[new Date(“2016-11-12”),22.203,22.20],[new Date(“2016-11-13”),22.203,22.20],[new Date(“2016-11-14”),22.200,22.20],[new Date(“2016-11-15”),22.200,22.20],[new Date(“2016-11-16”),22.200,22.20],[new Date(“2016-11-17”),22.200,22.20],[new Date(“2016-11-18”),22.104,22.10],[new Date(“2016-11-19”),22.104,22.10],[new Date(“2016-11-20”),22.099,22.10],[new Date(“2016-11-21”),22.200,22.20],[new Date(“2016-11-22”),22.200,22.20],[new Date(“2016-11-23”),22.200,22.20],[new Date(“2016-11-24”),22.200,22.20],[new Date(“2016-11-25”),22.210,22.21],[new Date(“2016-11-26”),22.200,22.20],[new Date(“2016-11-27”),22.200,22.20],[new Date(“2016-11-28”),22.200,22.20],[new Date(“2016-11-29”),22.250,22.25],[new Date(“2016-11-30″),22.290,22.29],]);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      22.0104
02      22.0097
↗0.001, 0.00%
03      22.0100
↘0.000, 0.00%
04      22.0099
↗0.000, 0.00%
05      22.0001
↗0.010, 0.04%
06      22.0002
↘0.000, 0.00%
07      22.0004
↘0.000, 0.00%
08      22.0004
→0.000, 0.00%
09      21.9996
↗0.001, 0.00%
10      21.9998
↘0.000, 0.00%
11      22.0104
↘0.011, 0.05%
12      22.0101
↗0.000, 0.00%
13      22.0500
↘0.040, 0.18%
14      22.0600
↘0.010, 0.05%
15      22.0600
→0.000, 0.00%
16      22.0600
→0.000, 0.00%
17      22.0003
↗0.060, 0.27%
18      22.0002
↗0.000, 0.00%
19      22.0500
↘0.050, 0.23%
20      22.0500
→0.000, 0.00%
21      22.1039
↘0.054, 0.24%
22      22.1039
→0.000, 0.00%
23      22.1014
↗0.002, 0.01%
24      22.1263
↘0.025, 0.11%
25      22.1263
→0.000, 0.00%
26      22.1312
↘0.005, 0.02%
27      22.1312
→0.000, 0.00%
28      22.1459
↘0.015, 0.07%
29      22.1459
→0.000, 0.00%
30      22.1459
→0.000, 0.00%
31      22.1502
↘0.004, 0.02%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-10-01”),22.010,22.01],[new Date(“2016-10-02”),22.010,22.01],[new Date(“2016-10-03”),22.010,22.01],[new Date(“2016-10-04”),22.010,22.01],[new Date(“2016-10-05”),22.000,22.00],[new Date(“2016-10-06”),22.000,22.00],[new Date(“2016-10-07”),22.000,22.00],[new Date(“2016-10-08”),22.000,22.00],[new Date(“2016-10-09”),22.000,22.00],[new Date(“2016-10-10”),22.000,22.00],[new Date(“2016-10-11”),22.010,22.01],[new Date(“2016-10-12”),22.010,22.01],[new Date(“2016-10-13”),22.050,22.05],[new Date(“2016-10-14”),22.060,22.06],[new Date(“2016-10-15”),22.060,22.06],[new Date(“2016-10-16”),22.060,22.06],[new Date(“2016-10-17”),22.000,22.00],[new Date(“2016-10-18”),22.000,22.00],[new Date(“2016-10-19”),22.050,22.05],[new Date(“2016-10-20”),22.050,22.05],[new Date(“2016-10-21”),22.104,22.10],[new Date(“2016-10-22”),22.104,22.10],[new Date(“2016-10-23”),22.101,22.10],[new Date(“2016-10-24”),22.126,22.13],[new Date(“2016-10-25”),22.126,22.13],[new Date(“2016-10-26”),22.131,22.13],[new Date(“2016-10-27”),22.131,22.13],[new Date(“2016-10-28”),22.146,22.15],[new Date(“2016-10-29”),22.146,22.15],[new Date(“2016-10-30”),22.146,22.15],[new Date(“2016-10-31″),22.150,22.15],]);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_10’));
chart.draw(data, options);
}

September, 2016

01      21.9654
02      21.9654
→0.000, 0.00%
03      21.9654
→0.000, 0.00%
04      21.9654
→0.000, 0.00%
05      21.9101
↗0.055, 0.25%
06      21.8988
↗0.011, 0.05%
07      21.9098
↘0.011, 0.05%
08      21.9103
↘0.000, 0.00%
09      21.9039
↗0.006, 0.03%
10      21.9039
→0.000, 0.00%
11      21.9277
↘0.024, 0.11%
12      21.9101
↗0.018, 0.08%
13      21.9099
↗0.000, 0.00%
14      21.9025
↗0.007, 0.03%
15      21.9096
↘0.007, 0.03%
16      21.9039
↗0.006, 0.03%
17      21.9039
→0.000, 0.00%
18      21.8975
↗0.006, 0.03%
19      21.9096
↘0.012, 0.06%
20      22.0002
↘0.091, 0.41%
21      22.0004
↘0.000, 0.00%
22      22.0101
↘0.010, 0.04%
23      22.0104
↘0.000, 0.00%
24      22.0104
→0.000, 0.00%
25      22.0098
↗0.001, 0.00%
26      22.0100
↘0.000, 0.00%
27      22.0003
↗0.010, 0.04%
28      22.0003
↗0.000, 0.00%
29      21.9997
↗0.001, 0.00%
30      22.0004
↘0.001, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-09-01”),21.965,21.97],[new Date(“2016-09-02”),21.965,21.97],[new Date(“2016-09-03”),21.965,21.97],[new Date(“2016-09-04”),21.965,21.97],[new Date(“2016-09-05”),21.910,21.91],[new Date(“2016-09-06”),21.899,21.90],[new Date(“2016-09-07”),21.910,21.91],[new Date(“2016-09-08”),21.910,21.91],[new Date(“2016-09-09”),21.904,21.90],[new Date(“2016-09-10”),21.904,21.90],[new Date(“2016-09-11”),21.928,21.93],[new Date(“2016-09-12”),21.910,21.91],[new Date(“2016-09-13”),21.910,21.91],[new Date(“2016-09-14”),21.902,21.90],[new Date(“2016-09-15”),21.910,21.91],[new Date(“2016-09-16”),21.904,21.90],[new Date(“2016-09-17”),21.904,21.90],[new Date(“2016-09-18”),21.898,21.90],[new Date(“2016-09-19”),21.910,21.91],[new Date(“2016-09-20”),22.000,22.00],[new Date(“2016-09-21”),22.000,22.00],[new Date(“2016-09-22”),22.010,22.01],[new Date(“2016-09-23”),22.010,22.01],[new Date(“2016-09-24”),22.010,22.01],[new Date(“2016-09-25”),22.010,22.01],[new Date(“2016-09-26”),22.010,22.01],[new Date(“2016-09-27”),22.000,22.00],[new Date(“2016-09-28”),22.000,22.00],[new Date(“2016-09-29”),22.000,22.00],[new Date(“2016-09-30″),22.000,22.00],]);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      21.8000
02      21.8000
→0.000, 0.00%
03      21.8100
↘0.010, 0.05%
04      21.8100
→0.000, 0.00%
05      21.8000
↗0.010, 0.05%
06      21.8000
→0.000, 0.00%
07      21.8000
→0.000, 0.00%
08      21.8000
→0.000, 0.00%
09      21.7501
↗0.050, 0.23%
10      21.8100
↘0.060, 0.28%
11      21.8000
↗0.010, 0.05%
12      21.8000
→0.000, 0.00%
13      21.8000
→0.000, 0.00%
14      21.8000
→0.000, 0.00%
15      21.8899
↘0.090, 0.41%
16      21.8000
↗0.090, 0.41%
17      21.8000
→0.000, 0.00%
18      21.9099
↘0.110, 0.50%
19      21.9039
↗0.006, 0.03%
20      21.9039
→0.000, 0.00%
21      21.8986
↗0.005, 0.02%
22      21.9099
↘0.011, 0.05%
23      21.9101
↘0.000, 0.00%
24      21.9305
↘0.020, 0.09%
25      21.9101
↗0.020, 0.09%
26      21.9039
↗0.006, 0.03%
27      21.9039
→0.000, 0.00%
28      21.9044
↘0.000, 0.00%
29      21.9575
↘0.053, 0.24%
30      21.9575
↗0.000, 0.00%
31      21.9654
↘0.008, 0.04%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-08-01”),21.800,21.80],[new Date(“2016-08-02”),21.800,21.80],[new Date(“2016-08-03”),21.810,21.81],[new Date(“2016-08-04”),21.810,21.81],[new Date(“2016-08-05”),21.800,21.80],[new Date(“2016-08-06”),21.800,21.80],[new Date(“2016-08-07”),21.800,21.80],[new Date(“2016-08-08”),21.800,21.80],[new Date(“2016-08-09”),21.750,21.75],[new Date(“2016-08-10”),21.810,21.81],[new Date(“2016-08-11”),21.800,21.80],[new Date(“2016-08-12”),21.800,21.80],[new Date(“2016-08-13”),21.800,21.80],[new Date(“2016-08-14”),21.800,21.80],[new Date(“2016-08-15”),21.890,21.89],[new Date(“2016-08-16”),21.800,21.80],[new Date(“2016-08-17”),21.800,21.80],[new Date(“2016-08-18”),21.910,21.91],[new Date(“2016-08-19”),21.904,21.90],[new Date(“2016-08-20”),21.904,21.90],[new Date(“2016-08-21”),21.899,21.90],[new Date(“2016-08-22”),21.910,21.91],[new Date(“2016-08-23”),21.910,21.91],[new Date(“2016-08-24”),21.930,21.93],[new Date(“2016-08-25”),21.910,21.91],[new Date(“2016-08-26”),21.904,21.90],[new Date(“2016-08-27”),21.904,21.90],[new Date(“2016-08-28”),21.904,21.90],[new Date(“2016-08-29”),21.958,21.96],[new Date(“2016-08-30”),21.958,21.96],[new Date(“2016-08-31″),21.965,21.97],]);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      21.8929
02      21.9099
↘0.017, 0.08%
03      21.8503
↗0.060, 0.27%
04      21.8581
↘0.008, 0.04%
05      21.9237
↘0.066, 0.30%
06      21.8811
↗0.043, 0.19%
07      21.9401
↘0.059, 0.27%
08      21.9366
↗0.003, 0.02%
09      21.9474
↘0.011, 0.05%
10      21.9067
↗0.041, 0.19%
11      21.9327
↘0.026, 0.12%
12      21.9223
↗0.010, 0.05%
13      21.9158
↗0.007, 0.03%
14      21.9078
↗0.008, 0.04%
15      21.8000
↗0.108, 0.49%
16      21.8000
→0.000, 0.00%
17      21.8000
→0.000, 0.00%
18      21.8444
↘0.044, 0.20%
19      21.8464
↘0.002, 0.01%
20      21.8000
↗0.046, 0.21%
21      21.8000
→0.000, 0.00%
22      21.8000
→0.000, 0.00%
23      21.8000
→0.000, 0.00%
24      21.8000
→0.000, 0.00%
25      21.8000
→0.000, 0.00%
26      21.8000
→0.000, 0.00%
27      21.8000
→0.000, 0.00%
28      21.8100
↘0.010, 0.05%
29      21.8000
↗0.010, 0.05%
30      21.8000
→0.000, 0.00%
31      21.8000
→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”),21.893,21.89],[new Date(“2016-07-02”),21.910,21.91],[new Date(“2016-07-03”),21.850,21.85],[new Date(“2016-07-04”),21.858,21.86],[new Date(“2016-07-05”),21.924,21.92],[new Date(“2016-07-06”),21.881,21.88],[new Date(“2016-07-07”),21.940,21.94],[new Date(“2016-07-08”),21.937,21.94],[new Date(“2016-07-09”),21.947,21.95],[new Date(“2016-07-10”),21.907,21.91],[new Date(“2016-07-11”),21.933,21.93],[new Date(“2016-07-12”),21.922,21.92],[new Date(“2016-07-13”),21.916,21.92],[new Date(“2016-07-14”),21.908,21.91],[new Date(“2016-07-15”),21.800,21.80],[new Date(“2016-07-16”),21.800,21.80],[new Date(“2016-07-17”),21.800,21.80],[new Date(“2016-07-18”),21.844,21.84],[new Date(“2016-07-19”),21.846,21.85],[new Date(“2016-07-20”),21.800,21.80],[new Date(“2016-07-21”),21.800,21.80],[new Date(“2016-07-22”),21.800,21.80],[new Date(“2016-07-23”),21.800,21.80],[new Date(“2016-07-24”),21.800,21.80],[new Date(“2016-07-25”),21.800,21.80],[new Date(“2016-07-26”),21.800,21.80],[new Date(“2016-07-27”),21.800,21.80],[new Date(“2016-07-28”),21.810,21.81],[new Date(“2016-07-29”),21.800,21.80],[new Date(“2016-07-30”),21.800,21.80],[new Date(“2016-07-31″),21.800,21.80],]);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_7’));
chart.draw(data, options);
}

June, 2016

01      21.7943
02      21.7566
↗0.038, 0.17%
03      21.7818
↘0.025, 0.12%
04      21.8205
↘0.039, 0.18%
05      21.8003
↗0.020, 0.09%
06      21.8388
↘0.039, 0.18%
07      21.7561
↗0.083, 0.38%
08      21.7439
↗0.012, 0.06%
09      21.7566
↘0.013, 0.06%
10      21.7387
↗0.018, 0.08%
11      21.7638
↘0.025, 0.12%
12      21.7997
↘0.036, 0.17%
13      21.8478
↘0.048, 0.22%
14      21.8155
↗0.032, 0.15%
15      21.8458
↘0.030, 0.14%
16      21.8393
↗0.006, 0.03%
17      21.8124
↗0.027, 0.12%
18      21.8152
↘0.003, 0.01%
19      21.7833
↗0.032, 0.15%
20      21.7770
↗0.006, 0.03%
21      21.8174
↘0.040, 0.19%
22      21.7536
↗0.064, 0.29%
23      21.7999
↘0.046, 0.21%
24      21.8586
↘0.059, 0.27%
25      21.8470
↗0.012, 0.05%
26      21.7379
↗0.109, 0.50%
27      21.8299
↘0.092, 0.42%
28      21.9036
↘0.074, 0.34%
29      21.8918
↗0.012, 0.05%
30      21.8900
↗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(“2016-06-01”),21.794,21.79],[new Date(“2016-06-02”),21.757,21.76],[new Date(“2016-06-03”),21.782,21.78],[new Date(“2016-06-04”),21.820,21.82],[new Date(“2016-06-05”),21.800,21.80],[new Date(“2016-06-06”),21.839,21.84],[new Date(“2016-06-07”),21.756,21.76],[new Date(“2016-06-08”),21.744,21.74],[new Date(“2016-06-09”),21.757,21.76],[new Date(“2016-06-10”),21.739,21.74],[new Date(“2016-06-11”),21.764,21.76],[new Date(“2016-06-12”),21.800,21.80],[new Date(“2016-06-13”),21.848,21.85],[new Date(“2016-06-14”),21.815,21.82],[new Date(“2016-06-15”),21.846,21.85],[new Date(“2016-06-16”),21.839,21.84],[new Date(“2016-06-17”),21.812,21.81],[new Date(“2016-06-18”),21.815,21.82],[new Date(“2016-06-19”),21.783,21.78],[new Date(“2016-06-20”),21.777,21.78],[new Date(“2016-06-21”),21.817,21.82],[new Date(“2016-06-22”),21.754,21.75],[new Date(“2016-06-23”),21.800,21.80],[new Date(“2016-06-24”),21.859,21.86],[new Date(“2016-06-25”),21.847,21.85],[new Date(“2016-06-26”),21.738,21.74],[new Date(“2016-06-27”),21.830,21.83],[new Date(“2016-06-28”),21.904,21.90],[new Date(“2016-06-29”),21.892,21.89],[new Date(“2016-06-30″),21.890,21.89],]);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      21.5631
02      21.5688
↘0.006, 0.03%
03      21.5531
↗0.016, 0.07%
04      21.5829
↘0.030, 0.14%
05      21.5788
↗0.004, 0.02%
06      21.6058
↘0.027, 0.13%
07      21.6060
↘0.000, 0.00%
08      21.6158
↘0.010, 0.05%
09      21.5877
↗0.028, 0.13%
10      21.5970
↘0.009, 0.04%
11      21.5880
↗0.009, 0.04%
12      21.6562
↘0.068, 0.32%
13      21.6503
↗0.006, 0.03%
14      21.6605
↘0.010, 0.05%
15      21.6560
↗0.004, 0.02%
16      21.6625
↘0.006, 0.03%
17      21.6615
↗0.001, 0.00%
18      21.6569
↗0.005, 0.02%
19      21.6739
↘0.017, 0.08%
20      21.7660
↘0.092, 0.42%
21      21.7655
↗0.000, 0.00%
22      21.8012
↘0.036, 0.16%
23      21.7611
↗0.040, 0.18%
24      21.7917
↘0.031, 0.14%
25      21.7488
↗0.043, 0.20%
26      21.7706
↘0.022, 0.10%
27      21.8393
↘0.069, 0.32%
28      21.8511
↘0.012, 0.05%
29      21.8872
↘0.036, 0.17%
30      21.7620
↗0.125, 0.57%
31      21.7718
↘0.010, 0.04%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),21.563,21.56],[new Date(“2016-05-02”),21.569,21.57],[new Date(“2016-05-03”),21.553,21.55],[new Date(“2016-05-04”),21.583,21.58],[new Date(“2016-05-05”),21.579,21.58],[new Date(“2016-05-06”),21.606,21.61],[new Date(“2016-05-07”),21.606,21.61],[new Date(“2016-05-08”),21.616,21.62],[new Date(“2016-05-09”),21.588,21.59],[new Date(“2016-05-10”),21.597,21.60],[new Date(“2016-05-11”),21.588,21.59],[new Date(“2016-05-12”),21.656,21.66],[new Date(“2016-05-13”),21.650,21.65],[new Date(“2016-05-14”),21.661,21.66],[new Date(“2016-05-15”),21.656,21.66],[new Date(“2016-05-16”),21.663,21.66],[new Date(“2016-05-17”),21.662,21.66],[new Date(“2016-05-18”),21.657,21.66],[new Date(“2016-05-19”),21.674,21.67],[new Date(“2016-05-20”),21.766,21.77],[new Date(“2016-05-21”),21.765,21.77],[new Date(“2016-05-22”),21.801,21.80],[new Date(“2016-05-23”),21.761,21.76],[new Date(“2016-05-24”),21.792,21.79],[new Date(“2016-05-25”),21.749,21.75],[new Date(“2016-05-26”),21.771,21.77],[new Date(“2016-05-27”),21.839,21.84],[new Date(“2016-05-28”),21.851,21.85],[new Date(“2016-05-29”),21.887,21.89],[new Date(“2016-05-30”),21.762,21.76],[new Date(“2016-05-31″),21.772,21.77],]);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      21.5434
02      21.5549
↘0.011, 0.05%
03      21.5693
↘0.014, 0.07%
04      21.5210
↗0.048, 0.22%
05      21.5031
↗0.018, 0.08%
06      21.4935
↗0.010, 0.04%
07      21.5377
↘0.044, 0.21%
08      21.5423
↘0.005, 0.02%
09      21.5375
↗0.005, 0.02%
10      21.5150
↗0.022, 0.10%
11      21.5550
↘0.040, 0.19%
12      21.5197
↗0.035, 0.16%
13      21.5477
↘0.028, 0.13%
14      21.5617
↘0.014, 0.06%
15      21.5360
↗0.026, 0.12%
16      21.5284
↗0.008, 0.04%
17      21.5425
↘0.014, 0.07%
18      21.5736
↘0.031, 0.14%
19      21.5520
↗0.022, 0.10%
20      21.5888
↘0.037, 0.17%
21      21.5939
↘0.005, 0.02%
22      21.5799
↗0.014, 0.06%
23      21.5574
↗0.022, 0.10%
24      21.5761
↘0.019, 0.09%
25      21.5783
↘0.002, 0.01%
26      21.6052
↘0.027, 0.12%
27      21.5924
↗0.013, 0.06%
28      21.5724
↗0.020, 0.09%
29      21.6192
↘0.047, 0.22%
30      21.6203
↘0.001, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-04-01”),21.543,21.54],[new Date(“2016-04-02”),21.555,21.55],[new Date(“2016-04-03”),21.569,21.57],[new Date(“2016-04-04”),21.521,21.52],[new Date(“2016-04-05”),21.503,21.50],[new Date(“2016-04-06”),21.493,21.49],[new Date(“2016-04-07”),21.538,21.54],[new Date(“2016-04-08”),21.542,21.54],[new Date(“2016-04-09”),21.537,21.54],[new Date(“2016-04-10”),21.515,21.52],[new Date(“2016-04-11”),21.555,21.56],[new Date(“2016-04-12”),21.520,21.52],[new Date(“2016-04-13”),21.548,21.55],[new Date(“2016-04-14”),21.562,21.56],[new Date(“2016-04-15”),21.536,21.54],[new Date(“2016-04-16”),21.528,21.53],[new Date(“2016-04-17”),21.542,21.54],[new Date(“2016-04-18”),21.574,21.57],[new Date(“2016-04-19”),21.552,21.55],[new Date(“2016-04-20”),21.589,21.59],[new Date(“2016-04-21”),21.594,21.59],[new Date(“2016-04-22”),21.580,21.58],[new Date(“2016-04-23”),21.557,21.56],[new Date(“2016-04-24”),21.576,21.58],[new Date(“2016-04-25”),21.578,21.58],[new Date(“2016-04-26”),21.605,21.61],[new Date(“2016-04-27”),21.592,21.59],[new Date(“2016-04-28”),21.572,21.57],[new Date(“2016-04-29”),21.619,21.62],[new Date(“2016-04-30″),21.620,21.62],]);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      21.3996
02      21.3747
↗0.025, 0.12%
03      21.3137
↗0.061, 0.29%
04      21.3888
↘0.075, 0.35%
05      21.3697
↗0.019, 0.09%
06      21.3510
↗0.019, 0.09%
07      21.3669
↘0.016, 0.07%
08      21.3433
↗0.024, 0.11%
09      21.3303
↗0.013, 0.06%
10      21.3450
↘0.015, 0.07%
11      21.3451
↘0.000, 0.00%
12      21.3029
↗0.042, 0.20%
13      21.3134
↘0.011, 0.05%
14      21.3363
↘0.023, 0.11%
15      21.3548
↘0.018, 0.09%
16      21.3151
↗0.040, 0.19%
17      21.3579
↘0.043, 0.20%
18      21.3478
↗0.010, 0.05%
19      21.3717
↘0.024, 0.11%
20      21.3409
↗0.031, 0.14%
21      21.3706
↘0.030, 0.14%
22      21.3945
↘0.024, 0.11%
23      21.4858
↘0.091, 0.43%
24      21.4657
↗0.020, 0.09%
25      21.4666
↘0.001, 0.00%
26      21.4751
↘0.008, 0.04%
27      21.4970
↘0.022, 0.10%
28      21.4116
↗0.085, 0.40%
29      21.4395
↘0.028, 0.13%
30      21.5107
↘0.071, 0.33%
31      21.5009
↗0.010, 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(“2016-03-01”),21.400,21.40],[new Date(“2016-03-02”),21.375,21.37],[new Date(“2016-03-03”),21.314,21.31],[new Date(“2016-03-04”),21.389,21.39],[new Date(“2016-03-05”),21.370,21.37],[new Date(“2016-03-06”),21.351,21.35],[new Date(“2016-03-07”),21.367,21.37],[new Date(“2016-03-08”),21.343,21.34],[new Date(“2016-03-09”),21.330,21.33],[new Date(“2016-03-10”),21.345,21.34],[new Date(“2016-03-11”),21.345,21.35],[new Date(“2016-03-12”),21.303,21.30],[new Date(“2016-03-13”),21.313,21.31],[new Date(“2016-03-14”),21.336,21.34],[new Date(“2016-03-15”),21.355,21.35],[new Date(“2016-03-16”),21.315,21.32],[new Date(“2016-03-17”),21.358,21.36],[new Date(“2016-03-18”),21.348,21.35],[new Date(“2016-03-19”),21.372,21.37],[new Date(“2016-03-20”),21.341,21.34],[new Date(“2016-03-21”),21.371,21.37],[new Date(“2016-03-22”),21.394,21.39],[new Date(“2016-03-23”),21.486,21.49],[new Date(“2016-03-24”),21.466,21.47],[new Date(“2016-03-25”),21.467,21.47],[new Date(“2016-03-26”),21.475,21.48],[new Date(“2016-03-27”),21.497,21.50],[new Date(“2016-03-28”),21.412,21.41],[new Date(“2016-03-29”),21.439,21.44],[new Date(“2016-03-30”),21.511,21.51],[new Date(“2016-03-31″),21.501,21.50],]);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      21.3043
02      21.3304
↘0.026, 0.12%
03      21.2074
↗0.123, 0.58%
04      21.2973
↘0.090, 0.42%
05      21.2758
↗0.021, 0.10%
06      21.3148
↘0.039, 0.18%
07      21.3482
↘0.033, 0.16%
08      21.3481
↗0.000, 0.00%
09      21.3160
↗0.032, 0.15%
10      21.3065
↗0.009, 0.04%
11      21.2646
↗0.042, 0.20%
12      21.2957
↘0.031, 0.15%
13      21.3181
↘0.022, 0.10%
14      21.3373
↘0.019, 0.09%
15      21.2845
↗0.053, 0.25%
16      21.3181
↘0.034, 0.16%
17      21.2875
↗0.031, 0.14%
18      21.2751
↗0.012, 0.06%
19      21.3053
↘0.030, 0.14%
20      21.2998
↗0.006, 0.03%
21      21.2666
↗0.033, 0.16%
22      21.3372
↘0.071, 0.33%
23      21.3654
↘0.028, 0.13%
24      21.2983
↗0.067, 0.31%
25      21.3274
↘0.029, 0.14%
26      21.3761
↘0.049, 0.23%
27      21.3784
↘0.002, 0.01%
28      21.4228
↘0.044, 0.21%
29      21.3723
↗0.050, 0.24%
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”),21.304,21.30],[new Date(“2016-02-02”),21.330,21.33],[new Date(“2016-02-03”),21.207,21.21],[new Date(“2016-02-04”),21.297,21.30],[new Date(“2016-02-05”),21.276,21.28],[new Date(“2016-02-06”),21.315,21.31],[new Date(“2016-02-07”),21.348,21.35],[new Date(“2016-02-08”),21.348,21.35],[new Date(“2016-02-09”),21.316,21.32],[new Date(“2016-02-10”),21.306,21.31],[new Date(“2016-02-11”),21.265,21.26],[new Date(“2016-02-12”),21.296,21.30],[new Date(“2016-02-13”),21.318,21.32],[new Date(“2016-02-14”),21.337,21.34],[new Date(“2016-02-15”),21.284,21.28],[new Date(“2016-02-16”),21.318,21.32],[new Date(“2016-02-17”),21.287,21.29],[new Date(“2016-02-18”),21.275,21.28],[new Date(“2016-02-19”),21.305,21.31],[new Date(“2016-02-20”),21.300,21.30],[new Date(“2016-02-21”),21.267,21.27],[new Date(“2016-02-22”),21.337,21.34],[new Date(“2016-02-23”),21.365,21.37],[new Date(“2016-02-24”),21.298,21.30],[new Date(“2016-02-25”),21.327,21.33],[new Date(“2016-02-26”),21.376,21.38],[new Date(“2016-02-27”),21.378,21.38],[new Date(“2016-02-28”),21.423,21.42],[new Date(“2016-02-29″),21.372,21.37],]);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      21.2036
02      21.2183
↘0.015, 0.07%
03      21.2052
↗0.013, 0.06%
04      21.2457
↘0.041, 0.19%
05      21.2062
↗0.040, 0.19%
06      21.2007
↗0.006, 0.03%
07      21.2065
↘0.006, 0.03%
08      21.2321
↘0.026, 0.12%
09      21.2430
↘0.011, 0.05%
10      21.2085
↗0.034, 0.16%
11      21.2274
↘0.019, 0.09%
12      21.2139
↗0.014, 0.06%
13      21.1798
↗0.034, 0.16%
14      21.2251
↘0.045, 0.21%
15      21.2162
↗0.009, 0.04%
16      21.2443
↘0.028, 0.13%
17      21.2645
↘0.020, 0.10%
18      21.2710
↘0.007, 0.03%
19      21.2213
↗0.050, 0.23%
20      21.2456
↘0.024, 0.11%
21      21.2410
↗0.005, 0.02%
22      21.2935
↘0.052, 0.25%
23      21.3002
↘0.007, 0.03%
24      21.2629
↗0.037, 0.18%
25      21.2700
↘0.007, 0.03%
26      21.2435
↗0.026, 0.12%
27      21.2371
↗0.006, 0.03%
28      21.2632
↘0.026, 0.12%
29      21.3034
↘0.040, 0.19%
30      21.3088
↘0.005, 0.03%
31      21.3987
↘0.090, 0.42%
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(“2016-01-01”),21.204,21.20],[new Date(“2016-01-02”),21.218,21.22],[new Date(“2016-01-03”),21.205,21.21],[new Date(“2016-01-04”),21.246,21.25],[new Date(“2016-01-05”),21.206,21.21],[new Date(“2016-01-06”),21.201,21.20],[new Date(“2016-01-07”),21.207,21.21],[new Date(“2016-01-08”),21.232,21.23],[new Date(“2016-01-09”),21.243,21.24],[new Date(“2016-01-10”),21.209,21.21],[new Date(“2016-01-11”),21.227,21.23],[new Date(“2016-01-12”),21.214,21.21],[new Date(“2016-01-13”),21.180,21.18],[new Date(“2016-01-14”),21.225,21.23],[new Date(“2016-01-15”),21.216,21.22],[new Date(“2016-01-16”),21.244,21.24],[new Date(“2016-01-17”),21.265,21.26],[new Date(“2016-01-18”),21.271,21.27],[new Date(“2016-01-19”),21.221,21.22],[new Date(“2016-01-20”),21.246,21.25],[new Date(“2016-01-21”),21.241,21.24],[new Date(“2016-01-22”),21.293,21.29],[new Date(“2016-01-23”),21.300,21.30],[new Date(“2016-01-24”),21.263,21.26],[new Date(“2016-01-25”),21.270,21.27],[new Date(“2016-01-26”),21.244,21.24],[new Date(“2016-01-27”),21.237,21.24],[new Date(“2016-01-28”),21.263,21.26],[new Date(“2016-01-29”),21.303,21.30],[new Date(“2016-01-30”),21.309,21.31],[new Date(“2016-01-31″),21.399,21.40],]);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);
}