Kenyan Shilling KES 2016 Conversion Rates

  • Opening Value is 102.437900 KES per Dollar
  • Closing Value is 102.220001 KES per Dollar
  • Change in Value during 2016 is -0.2179 which is -0.21%
  • Best Performance is on 2016-05-08 with 100.409500 KES per Dollar
  • Lowest Performance is on 2016-01-31 with 102.946901 KES per Dollar
  • Average Value is 101.4650 KES per Dollar
  • Swing Between the higest and the lowest is 2.5374 per Dollar, that is 2.48% compared to the opening value.

USD to KES Conversion Rates – 12 months

Date 1 USD =
2016-12-31 102.2200 KES
2016-11-30 101.7000 KES
2016-10-31 101.4000 KES
2016-09-30 101.1000 KES
2016-08-31 101.2502 KES
2016-07-31 101.2800 KES
2016-06-30 101.2226 KES
2016-05-31 100.8268 KES
2016-04-30 101.0610 KES
2016-03-31 101.4255 KES
2016-02-29 101.9789 KES
2016-01-31 102.9469 KES
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”),102.220,102.22],[new Date(“2016-11-30”),101.700,101.70],[new Date(“2016-10-31”),101.400,101.40],[new Date(“2016-09-30”),101.100,101.10],[new Date(“2016-08-31”),101.250,101.25],[new Date(“2016-07-31”),101.280,101.28],[new Date(“2016-06-30”),101.223,101.22],[new Date(“2016-05-31”),100.827,100.83],[new Date(“2016-04-30”),101.061,101.06],[new Date(“2016-03-31”),101.426,101.43],[new Date(“2016-02-29”),101.979,101.98],[new Date(“2016-01-31”),102.947,102.95],]);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      101.8000
02      101.7504
↗0.050, 0.05%
03      101.7504
→0.000, 0.00%
04      101.7499
↗0.000, 0.00%
05      101.8000
↘0.050, 0.05%
06      101.8100
↘0.010, 0.01%
07      102.0003
↘0.190, 0.19%
08      101.8500
↗0.150, 0.15%
09      101.9500
↘0.100, 0.10%
10      101.9500
→0.000, 0.00%
11      101.9500
→0.000, 0.00%
12      101.7500
↗0.200, 0.20%
13      101.8500
↘0.100, 0.10%
14      101.9500
↘0.100, 0.10%
15      101.7498
↗0.200, 0.20%
16      101.9500
↘0.200, 0.20%
17      101.9500
→0.000, 0.00%
18      101.9500
→0.000, 0.00%
19      102.0500
↘0.100, 0.10%
20      102.0500
→0.000, 0.00%
21      102.1500
↘0.100, 0.10%
22      102.1500
→0.000, 0.00%
23      102.1500
→0.000, 0.00%
24      102.1500
→0.000, 0.00%
25      102.1500
→0.000, 0.00%
26      102.1500
→0.000, 0.00%
27      102.1500
→0.000, 0.00%
28      102.2000
↘0.050, 0.05%
29      102.2503
↘0.050, 0.05%
30      102.2200
↗0.030, 0.03%
31      102.2200
→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”),101.800,101.80],[new Date(“2016-12-02”),101.750,101.75],[new Date(“2016-12-03”),101.750,101.75],[new Date(“2016-12-04”),101.750,101.75],[new Date(“2016-12-05”),101.800,101.80],[new Date(“2016-12-06”),101.810,101.81],[new Date(“2016-12-07”),102.000,102.00],[new Date(“2016-12-08”),101.850,101.85],[new Date(“2016-12-09”),101.950,101.95],[new Date(“2016-12-10”),101.950,101.95],[new Date(“2016-12-11”),101.950,101.95],[new Date(“2016-12-12”),101.750,101.75],[new Date(“2016-12-13”),101.850,101.85],[new Date(“2016-12-14”),101.950,101.95],[new Date(“2016-12-15”),101.750,101.75],[new Date(“2016-12-16”),101.950,101.95],[new Date(“2016-12-17”),101.950,101.95],[new Date(“2016-12-18”),101.950,101.95],[new Date(“2016-12-19”),102.050,102.05],[new Date(“2016-12-20”),102.050,102.05],[new Date(“2016-12-21”),102.150,102.15],[new Date(“2016-12-22”),102.150,102.15],[new Date(“2016-12-23”),102.150,102.15],[new Date(“2016-12-24”),102.150,102.15],[new Date(“2016-12-25”),102.150,102.15],[new Date(“2016-12-26”),102.150,102.15],[new Date(“2016-12-27”),102.150,102.15],[new Date(“2016-12-28”),102.200,102.20],[new Date(“2016-12-29”),102.250,102.25],[new Date(“2016-12-30”),102.220,102.22],[new Date(“2016-12-31″),102.220,102.22],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2016

01      101.4000
02      101.4500
↘0.050, 0.05%
03      101.5002
↘0.050, 0.05%
04      101.6000
↘0.100, 0.10%
05      101.6000
→0.000, 0.00%
06      101.6000
→0.000, 0.00%
07      101.4500
↗0.150, 0.15%
08      101.6000
↘0.150, 0.15%
09      101.5500
↗0.050, 0.05%
10      101.6000
↘0.050, 0.05%
11      101.6500
↘0.050, 0.05%
12      101.6500
→0.000, 0.00%
13      101.6500
→0.000, 0.00%
14      101.6500
→0.000, 0.00%
15      101.7000
↘0.050, 0.05%
16      101.7000
→0.000, 0.00%
17      101.7498
↘0.050, 0.05%
18      101.8000
↘0.050, 0.05%
19      101.8000
→0.000, 0.00%
20      101.8000
→0.000, 0.00%
21      101.7700
↗0.030, 0.03%
22      101.7300
↗0.040, 0.04%
23      101.7700
↘0.040, 0.04%
24      101.7800
↘0.010, 0.01%
25      101.8500
↘0.070, 0.07%
26      101.8500
→0.000, 0.00%
27      101.8000
↗0.050, 0.05%
28      101.7800
↗0.020, 0.02%
29      101.7500
↗0.030, 0.03%
30      101.7000
↗0.050, 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(“2016-11-01”),101.400,101.40],[new Date(“2016-11-02”),101.450,101.45],[new Date(“2016-11-03”),101.500,101.50],[new Date(“2016-11-04”),101.600,101.60],[new Date(“2016-11-05”),101.600,101.60],[new Date(“2016-11-06”),101.600,101.60],[new Date(“2016-11-07”),101.450,101.45],[new Date(“2016-11-08”),101.600,101.60],[new Date(“2016-11-09”),101.550,101.55],[new Date(“2016-11-10”),101.600,101.60],[new Date(“2016-11-11”),101.650,101.65],[new Date(“2016-11-12”),101.650,101.65],[new Date(“2016-11-13”),101.650,101.65],[new Date(“2016-11-14”),101.650,101.65],[new Date(“2016-11-15”),101.700,101.70],[new Date(“2016-11-16”),101.700,101.70],[new Date(“2016-11-17”),101.750,101.75],[new Date(“2016-11-18”),101.800,101.80],[new Date(“2016-11-19”),101.800,101.80],[new Date(“2016-11-20”),101.800,101.80],[new Date(“2016-11-21”),101.770,101.77],[new Date(“2016-11-22”),101.730,101.73],[new Date(“2016-11-23”),101.770,101.77],[new Date(“2016-11-24”),101.780,101.78],[new Date(“2016-11-25”),101.850,101.85],[new Date(“2016-11-26”),101.850,101.85],[new Date(“2016-11-27”),101.800,101.80],[new Date(“2016-11-28”),101.780,101.78],[new Date(“2016-11-29”),101.750,101.75],[new Date(“2016-11-30″),101.700,101.70],]);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      101.1000
02      101.1000
→0.000, 0.00%
03      101.1500
↘0.050, 0.05%
04      101.2000
↘0.050, 0.05%
05      101.1500
↗0.050, 0.05%
06      101.1500
→0.000, 0.00%
07      101.2000
↘0.050, 0.05%
08      101.2000
→0.000, 0.00%
09      101.2000
→0.000, 0.00%
10      101.2200
↘0.020, 0.02%
11      101.2000
↗0.020, 0.02%
12      101.2000
→0.000, 0.00%
13      101.2497
↘0.050, 0.05%
14      101.3000
↘0.050, 0.05%
15      101.3000
→0.000, 0.00%
16      101.3000
→0.000, 0.00%
17      101.2800
↗0.020, 0.02%
18      101.2000
↗0.080, 0.08%
19      101.1801
↗0.020, 0.02%
20      101.3000
↘0.120, 0.12%
21      101.2504
↗0.050, 0.05%
22      101.2504
→0.000, 0.00%
23      101.2496
↗0.001, 0.00%
24      101.3500
↘0.100, 0.10%
25      101.3800
↘0.030, 0.03%
26      101.2800
↗0.100, 0.10%
27      101.3195
↘0.040, 0.04%
28      101.3500
↘0.030, 0.03%
29      101.3500
→0.000, 0.00%
30      101.3800
↘0.030, 0.03%
31      101.4000
↘0.020, 0.02%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-10-01”),101.100,101.10],[new Date(“2016-10-02”),101.100,101.10],[new Date(“2016-10-03”),101.150,101.15],[new Date(“2016-10-04”),101.200,101.20],[new Date(“2016-10-05”),101.150,101.15],[new Date(“2016-10-06”),101.150,101.15],[new Date(“2016-10-07”),101.200,101.20],[new Date(“2016-10-08”),101.200,101.20],[new Date(“2016-10-09”),101.200,101.20],[new Date(“2016-10-10”),101.220,101.22],[new Date(“2016-10-11”),101.200,101.20],[new Date(“2016-10-12”),101.200,101.20],[new Date(“2016-10-13”),101.250,101.25],[new Date(“2016-10-14”),101.300,101.30],[new Date(“2016-10-15”),101.300,101.30],[new Date(“2016-10-16”),101.300,101.30],[new Date(“2016-10-17”),101.280,101.28],[new Date(“2016-10-18”),101.200,101.20],[new Date(“2016-10-19”),101.180,101.18],[new Date(“2016-10-20”),101.300,101.30],[new Date(“2016-10-21”),101.250,101.25],[new Date(“2016-10-22”),101.250,101.25],[new Date(“2016-10-23”),101.250,101.25],[new Date(“2016-10-24”),101.350,101.35],[new Date(“2016-10-25”),101.380,101.38],[new Date(“2016-10-26”),101.280,101.28],[new Date(“2016-10-27”),101.320,101.32],[new Date(“2016-10-28”),101.350,101.35],[new Date(“2016-10-29”),101.350,101.35],[new Date(“2016-10-30”),101.380,101.38],[new Date(“2016-10-31″),101.400,101.40],]);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_10’));
chart.draw(data, options);
}

September, 2016

01      101.2000
02      101.1500
↗0.050, 0.05%
03      101.1500
→0.000, 0.00%
04      101.3000
↘0.150, 0.15%
05      101.3000
→0.000, 0.00%
06      101.2200
↗0.080, 0.08%
07      101.2000
↗0.020, 0.02%
08      101.2498
↘0.050, 0.05%
09      101.2504
↘0.001, 0.00%
10      101.2504
→0.000, 0.00%
11      101.2500
↗0.000, 0.00%
12      101.2000
↗0.050, 0.05%
13      101.0800
↗0.120, 0.12%
14      101.1500
↘0.070, 0.07%
15      101.2000
↘0.050, 0.05%
16      101.2000
→0.000, 0.00%
17      101.2000
→0.000, 0.00%
18      101.2000
→0.000, 0.00%
19      101.2000
→0.000, 0.00%
20      101.2000
→0.000, 0.00%
21      101.2000
→0.000, 0.00%
22      101.0800
↗0.120, 0.12%
23      101.1500
↘0.070, 0.07%
24      101.1500
→0.000, 0.00%
25      101.1500
→0.000, 0.00%
26      101.2500
↘0.100, 0.10%
27      101.2000
↗0.050, 0.05%
28      101.2000
→0.000, 0.00%
29      101.2000
→0.000, 0.00%
30      101.1000
↗0.100, 0.10%
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(“2016-09-01”),101.200,101.20],[new Date(“2016-09-02”),101.150,101.15],[new Date(“2016-09-03”),101.150,101.15],[new Date(“2016-09-04”),101.300,101.30],[new Date(“2016-09-05”),101.300,101.30],[new Date(“2016-09-06”),101.220,101.22],[new Date(“2016-09-07”),101.200,101.20],[new Date(“2016-09-08”),101.250,101.25],[new Date(“2016-09-09”),101.250,101.25],[new Date(“2016-09-10”),101.250,101.25],[new Date(“2016-09-11”),101.250,101.25],[new Date(“2016-09-12”),101.200,101.20],[new Date(“2016-09-13”),101.080,101.08],[new Date(“2016-09-14”),101.150,101.15],[new Date(“2016-09-15”),101.200,101.20],[new Date(“2016-09-16”),101.200,101.20],[new Date(“2016-09-17”),101.200,101.20],[new Date(“2016-09-18”),101.200,101.20],[new Date(“2016-09-19”),101.200,101.20],[new Date(“2016-09-20”),101.200,101.20],[new Date(“2016-09-21”),101.200,101.20],[new Date(“2016-09-22”),101.080,101.08],[new Date(“2016-09-23”),101.150,101.15],[new Date(“2016-09-24”),101.150,101.15],[new Date(“2016-09-25”),101.150,101.15],[new Date(“2016-09-26”),101.250,101.25],[new Date(“2016-09-27”),101.200,101.20],[new Date(“2016-09-28”),101.200,101.20],[new Date(“2016-09-29”),101.200,101.20],[new Date(“2016-09-30″),101.100,101.10],]);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_9’));
chart.draw(data, options);
}

August, 2016

01      101.3000
02      101.3000
→0.000, 0.00%
03      101.3500
↘0.050, 0.05%
04      101.2800
↗0.070, 0.07%
05      101.3000
↘0.020, 0.02%
06      101.3000
→0.000, 0.00%
07      101.3000
→0.000, 0.00%
08      101.4000
↘0.100, 0.10%
09      101.4000
→0.000, 0.00%
10      101.4000
→0.000, 0.00%
11      101.4000
→0.000, 0.00%
12      101.3500
↗0.050, 0.05%
13      101.3500
→0.000, 0.00%
14      101.3500
→0.000, 0.00%
15      101.3800
↘0.030, 0.03%
16      101.4000
↘0.020, 0.02%
17      101.3000
↗0.100, 0.10%
18      101.2497
↗0.050, 0.05%
19      101.2504
↘0.001, 0.00%
20      101.3000
↘0.050, 0.05%
21      101.3000
→0.000, 0.00%
22      101.2800
↗0.020, 0.02%
23      101.2506
↗0.029, 0.03%
24      101.3000
↘0.049, 0.05%
25      101.3500
↘0.050, 0.05%
26      101.2800
↗0.070, 0.07%
27      101.2800
→0.000, 0.00%
28      101.2800
→0.000, 0.00%
29      101.2497
↗0.030, 0.03%
30      101.2501
↘0.000, 0.00%
31      101.2502
↘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(“2016-08-01”),101.300,101.30],[new Date(“2016-08-02”),101.300,101.30],[new Date(“2016-08-03”),101.350,101.35],[new Date(“2016-08-04”),101.280,101.28],[new Date(“2016-08-05”),101.300,101.30],[new Date(“2016-08-06”),101.300,101.30],[new Date(“2016-08-07”),101.300,101.30],[new Date(“2016-08-08”),101.400,101.40],[new Date(“2016-08-09”),101.400,101.40],[new Date(“2016-08-10”),101.400,101.40],[new Date(“2016-08-11”),101.400,101.40],[new Date(“2016-08-12”),101.350,101.35],[new Date(“2016-08-13”),101.350,101.35],[new Date(“2016-08-14”),101.350,101.35],[new Date(“2016-08-15”),101.380,101.38],[new Date(“2016-08-16”),101.400,101.40],[new Date(“2016-08-17”),101.300,101.30],[new Date(“2016-08-18”),101.250,101.25],[new Date(“2016-08-19”),101.250,101.25],[new Date(“2016-08-20”),101.300,101.30],[new Date(“2016-08-21”),101.300,101.30],[new Date(“2016-08-22”),101.280,101.28],[new Date(“2016-08-23”),101.251,101.25],[new Date(“2016-08-24”),101.300,101.30],[new Date(“2016-08-25”),101.350,101.35],[new Date(“2016-08-26”),101.280,101.28],[new Date(“2016-08-27”),101.280,101.28],[new Date(“2016-08-28”),101.280,101.28],[new Date(“2016-08-29”),101.250,101.25],[new Date(“2016-08-30”),101.250,101.25],[new Date(“2016-08-31″),101.250,101.25],]);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      101.0755
02      101.0873
↘0.012, 0.01%
03      101.0490
↗0.038, 0.04%
04      101.1056
↘0.057, 0.06%
05      101.0774
↗0.028, 0.03%
06      101.1005
↘0.023, 0.02%
07      101.1927
↘0.092, 0.09%
08      101.1981
↘0.005, 0.01%
09      101.2226
↘0.025, 0.02%
10      101.2503
↘0.028, 0.03%
11      101.2464
↗0.004, 0.00%
12      101.2789
↘0.032, 0.03%
13      101.3243
↘0.045, 0.04%
14      101.3396
↘0.015, 0.02%
15      101.2800
↗0.060, 0.06%
16      101.2800
→0.000, 0.00%
17      101.2800
→0.000, 0.00%
18      101.4000
↘0.120, 0.12%
19      101.4500
↘0.050, 0.05%
20      101.4874
↘0.037, 0.04%
21      101.5029
↘0.015, 0.02%
22      101.4800
↗0.023, 0.02%
23      101.4800
→0.000, 0.00%
24      101.4800
→0.000, 0.00%
25      101.2501
↗0.230, 0.23%
26      101.2000
↗0.050, 0.05%
27      101.3000
↘0.100, 0.10%
28      101.3000
→0.000, 0.00%
29      101.2800
↗0.020, 0.02%
30      101.2800
→0.000, 0.00%
31      101.2800
→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”),101.075,101.08],[new Date(“2016-07-02”),101.087,101.09],[new Date(“2016-07-03”),101.049,101.05],[new Date(“2016-07-04”),101.106,101.11],[new Date(“2016-07-05”),101.077,101.08],[new Date(“2016-07-06”),101.101,101.10],[new Date(“2016-07-07”),101.193,101.19],[new Date(“2016-07-08”),101.198,101.20],[new Date(“2016-07-09”),101.223,101.22],[new Date(“2016-07-10”),101.250,101.25],[new Date(“2016-07-11”),101.246,101.25],[new Date(“2016-07-12”),101.279,101.28],[new Date(“2016-07-13”),101.324,101.32],[new Date(“2016-07-14”),101.340,101.34],[new Date(“2016-07-15”),101.280,101.28],[new Date(“2016-07-16”),101.280,101.28],[new Date(“2016-07-17”),101.280,101.28],[new Date(“2016-07-18”),101.400,101.40],[new Date(“2016-07-19”),101.450,101.45],[new Date(“2016-07-20”),101.487,101.49],[new Date(“2016-07-21”),101.503,101.50],[new Date(“2016-07-22”),101.480,101.48],[new Date(“2016-07-23”),101.480,101.48],[new Date(“2016-07-24”),101.480,101.48],[new Date(“2016-07-25”),101.250,101.25],[new Date(“2016-07-26”),101.200,101.20],[new Date(“2016-07-27”),101.300,101.30],[new Date(“2016-07-28”),101.300,101.30],[new Date(“2016-07-29”),101.280,101.28],[new Date(“2016-07-30”),101.280,101.28],[new Date(“2016-07-31″),101.280,101.28],]);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      100.8569
02      100.8603
↘0.003, 0.00%
03      100.9999
↘0.140, 0.14%
04      101.0094
↘0.009, 0.01%
05      101.0531
↘0.044, 0.04%
06      101.1798
↘0.127, 0.13%
07      101.0353
↗0.145, 0.14%
08      101.0928
↘0.057, 0.06%
09      101.0978
↘0.005, 0.01%
10      101.1009
↘0.003, 0.00%
11      101.1082
↘0.007, 0.01%
12      101.1366
↘0.028, 0.03%
13      101.1791
↘0.042, 0.04%
14      101.1842
↘0.005, 0.01%
15      101.2478
↘0.064, 0.06%
16      101.2860
↘0.038, 0.04%
17      101.1630
↗0.123, 0.12%
18      101.1640
↘0.001, 0.00%
19      101.0520
↗0.112, 0.11%
20      101.3039
↘0.252, 0.25%
21      101.0998
↗0.204, 0.20%
22      101.2165
↘0.117, 0.12%
23      101.1700
↗0.047, 0.05%
24      101.1292
↗0.041, 0.04%
25      101.1463
↘0.017, 0.02%
26      101.2002
↘0.054, 0.05%
27      101.2401
↘0.040, 0.04%
28      101.2599
↘0.020, 0.02%
29      101.2349
↗0.025, 0.02%
30      101.2226
↗0.012, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),100.857,100.86],[new Date(“2016-06-02”),100.860,100.86],[new Date(“2016-06-03”),101.000,101.00],[new Date(“2016-06-04”),101.009,101.01],[new Date(“2016-06-05”),101.053,101.05],[new Date(“2016-06-06”),101.180,101.18],[new Date(“2016-06-07”),101.035,101.04],[new Date(“2016-06-08”),101.093,101.09],[new Date(“2016-06-09”),101.098,101.10],[new Date(“2016-06-10”),101.101,101.10],[new Date(“2016-06-11”),101.108,101.11],[new Date(“2016-06-12”),101.137,101.14],[new Date(“2016-06-13”),101.179,101.18],[new Date(“2016-06-14”),101.184,101.18],[new Date(“2016-06-15”),101.248,101.25],[new Date(“2016-06-16”),101.286,101.29],[new Date(“2016-06-17”),101.163,101.16],[new Date(“2016-06-18”),101.164,101.16],[new Date(“2016-06-19”),101.052,101.05],[new Date(“2016-06-20”),101.304,101.30],[new Date(“2016-06-21”),101.100,101.10],[new Date(“2016-06-22”),101.217,101.22],[new Date(“2016-06-23”),101.170,101.17],[new Date(“2016-06-24”),101.129,101.13],[new Date(“2016-06-25”),101.146,101.15],[new Date(“2016-06-26”),101.200,101.20],[new Date(“2016-06-27”),101.240,101.24],[new Date(“2016-06-28”),101.260,101.26],[new Date(“2016-06-29”),101.235,101.23],[new Date(“2016-06-30″),101.223,101.22],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2016

01      101.0402
02      101.0958
↘0.056, 0.06%
03      100.9227
↗0.173, 0.17%
04      100.7883
↗0.134, 0.13%
05      100.6317
↗0.157, 0.16%
06      100.4479
↗0.184, 0.18%
07      100.4120
↗0.036, 0.04%
08      100.4095
↗0.003, 0.00%
09      100.5260
↘0.117, 0.12%
10      100.6640
↘0.138, 0.14%
11      100.6832
↘0.019, 0.02%
12      100.6714
↗0.012, 0.01%
13      100.6932
↘0.022, 0.02%
14      100.7015
↘0.008, 0.01%
15      100.7015
→0.000, 0.00%
16      100.6939
↗0.008, 0.01%
17      100.7624
↘0.069, 0.07%
18      100.8918
↘0.129, 0.13%
19      100.7210
↗0.171, 0.17%
20      100.8938
↘0.173, 0.17%
21      100.8718
↗0.022, 0.02%
22      100.8435
↗0.028, 0.03%
23      100.9043
↘0.061, 0.06%
24      100.8041
↗0.100, 0.10%
25      100.8564
↘0.052, 0.05%
26      100.8192
↗0.037, 0.04%
27      100.7292
↗0.090, 0.09%
28      100.7171
↗0.012, 0.01%
29      100.7329
↘0.016, 0.02%
30      100.8039
↘0.071, 0.07%
31      100.8268
↘0.023, 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(“2016-05-01”),101.040,101.04],[new Date(“2016-05-02”),101.096,101.10],[new Date(“2016-05-03”),100.923,100.92],[new Date(“2016-05-04”),100.788,100.79],[new Date(“2016-05-05”),100.632,100.63],[new Date(“2016-05-06”),100.448,100.45],[new Date(“2016-05-07”),100.412,100.41],[new Date(“2016-05-08”),100.410,100.41],[new Date(“2016-05-09”),100.526,100.53],[new Date(“2016-05-10”),100.664,100.66],[new Date(“2016-05-11”),100.683,100.68],[new Date(“2016-05-12”),100.671,100.67],[new Date(“2016-05-13”),100.693,100.69],[new Date(“2016-05-14”),100.701,100.70],[new Date(“2016-05-15”),100.701,100.70],[new Date(“2016-05-16”),100.694,100.69],[new Date(“2016-05-17”),100.762,100.76],[new Date(“2016-05-18”),100.892,100.89],[new Date(“2016-05-19”),100.721,100.72],[new Date(“2016-05-20”),100.894,100.89],[new Date(“2016-05-21”),100.872,100.87],[new Date(“2016-05-22”),100.844,100.84],[new Date(“2016-05-23”),100.904,100.90],[new Date(“2016-05-24”),100.804,100.80],[new Date(“2016-05-25”),100.856,100.86],[new Date(“2016-05-26”),100.819,100.82],[new Date(“2016-05-27”),100.729,100.73],[new Date(“2016-05-28”),100.717,100.72],[new Date(“2016-05-29”),100.733,100.73],[new Date(“2016-05-30”),100.804,100.80],[new Date(“2016-05-31″),100.827,100.83],]);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_5’));
chart.draw(data, options);
}

April, 2016

01      101.5229
02      101.5509
↘0.028, 0.03%
03      101.5921
↘0.041, 0.04%
04      101.4909
↗0.101, 0.10%
05      101.4340
↗0.057, 0.06%
06      101.4976
↘0.064, 0.06%
07      101.3335
↗0.164, 0.16%
08      101.1841
↗0.149, 0.15%
09      101.1620
↗0.022, 0.02%
10      101.1289
↗0.033, 0.03%
11      101.1212
↗0.008, 0.01%
12      101.1099
↗0.011, 0.01%
13      101.1857
↘0.076, 0.07%
14      101.1922
↘0.006, 0.01%
15      101.2382
↘0.046, 0.05%
16      101.2430
↘0.005, 0.00%
17      101.2119
↗0.031, 0.03%
18      101.1962
↗0.016, 0.02%
19      101.1982
↘0.002, 0.00%
20      101.1795
↗0.019, 0.02%
21      101.1253
↗0.054, 0.05%
22      101.2071
↘0.082, 0.08%
23      101.2094
↘0.002, 0.00%
24      101.2070
↗0.002, 0.00%
25      101.2219
↘0.015, 0.01%
26      101.1987
↗0.023, 0.02%
27      101.1850
↗0.014, 0.01%
28      101.1889
↘0.004, 0.00%
29      101.0766
↗0.112, 0.11%
30      101.0610
↗0.016, 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(“2016-04-01”),101.523,101.52],[new Date(“2016-04-02”),101.551,101.55],[new Date(“2016-04-03”),101.592,101.59],[new Date(“2016-04-04”),101.491,101.49],[new Date(“2016-04-05”),101.434,101.43],[new Date(“2016-04-06”),101.498,101.50],[new Date(“2016-04-07”),101.333,101.33],[new Date(“2016-04-08”),101.184,101.18],[new Date(“2016-04-09”),101.162,101.16],[new Date(“2016-04-10”),101.129,101.13],[new Date(“2016-04-11”),101.121,101.12],[new Date(“2016-04-12”),101.110,101.11],[new Date(“2016-04-13”),101.186,101.19],[new Date(“2016-04-14”),101.192,101.19],[new Date(“2016-04-15”),101.238,101.24],[new Date(“2016-04-16”),101.243,101.24],[new Date(“2016-04-17”),101.212,101.21],[new Date(“2016-04-18”),101.196,101.20],[new Date(“2016-04-19”),101.198,101.20],[new Date(“2016-04-20”),101.180,101.18],[new Date(“2016-04-21”),101.125,101.13],[new Date(“2016-04-22”),101.207,101.21],[new Date(“2016-04-23”),101.209,101.21],[new Date(“2016-04-24”),101.207,101.21],[new Date(“2016-04-25”),101.222,101.22],[new Date(“2016-04-26”),101.199,101.20],[new Date(“2016-04-27”),101.185,101.19],[new Date(“2016-04-28”),101.189,101.19],[new Date(“2016-04-29”),101.077,101.08],[new Date(“2016-04-30″),101.061,101.06],]);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      101.6794
02      101.4964
↗0.183, 0.18%
03      101.1067
↗0.390, 0.38%
04      101.3532
↘0.247, 0.24%
05      101.3487
↗0.004, 0.00%
06      101.2584
↗0.090, 0.09%
07      101.4342
↘0.176, 0.17%
08      101.6236
↘0.189, 0.19%
09      101.5926
↗0.031, 0.03%
10      101.6282
↘0.036, 0.04%
11      101.3514
↗0.277, 0.27%
12      101.3406
↗0.011, 0.01%
13      101.0338
↗0.307, 0.30%
14      101.4348
↘0.401, 0.40%
15      101.4696
↘0.035, 0.03%
16      101.0230
↗0.447, 0.44%
17      101.4922
↘0.469, 0.46%
18      101.5135
↘0.021, 0.02%
19      101.5168
↘0.003, 0.00%
20      101.4777
↗0.039, 0.04%
21      101.5728
↘0.095, 0.09%
22      101.6564
↘0.084, 0.08%
23      101.5368
↗0.120, 0.12%
24      101.5833
↘0.046, 0.05%
25      101.5817
↗0.002, 0.00%
26      101.6183
↘0.037, 0.04%
27      101.6569
↘0.039, 0.04%
28      101.4235
↗0.233, 0.23%
29      101.4992
↘0.076, 0.07%
30      101.3427
↗0.157, 0.15%
31      101.4255
↘0.083, 0.08%
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”),101.679,101.68],[new Date(“2016-03-02”),101.496,101.50],[new Date(“2016-03-03”),101.107,101.11],[new Date(“2016-03-04”),101.353,101.35],[new Date(“2016-03-05”),101.349,101.35],[new Date(“2016-03-06”),101.258,101.26],[new Date(“2016-03-07”),101.434,101.43],[new Date(“2016-03-08”),101.624,101.62],[new Date(“2016-03-09”),101.593,101.59],[new Date(“2016-03-10”),101.628,101.63],[new Date(“2016-03-11”),101.351,101.35],[new Date(“2016-03-12”),101.341,101.34],[new Date(“2016-03-13”),101.034,101.03],[new Date(“2016-03-14”),101.435,101.43],[new Date(“2016-03-15”),101.470,101.47],[new Date(“2016-03-16”),101.023,101.02],[new Date(“2016-03-17”),101.492,101.49],[new Date(“2016-03-18”),101.513,101.51],[new Date(“2016-03-19”),101.517,101.52],[new Date(“2016-03-20”),101.478,101.48],[new Date(“2016-03-21”),101.573,101.57],[new Date(“2016-03-22”),101.656,101.66],[new Date(“2016-03-23”),101.537,101.54],[new Date(“2016-03-24”),101.583,101.58],[new Date(“2016-03-25”),101.582,101.58],[new Date(“2016-03-26”),101.618,101.62],[new Date(“2016-03-27”),101.657,101.66],[new Date(“2016-03-28”),101.424,101.42],[new Date(“2016-03-29”),101.499,101.50],[new Date(“2016-03-30”),101.343,101.34],[new Date(“2016-03-31″),101.426,101.43],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2016

01      102.3289
02      102.3941
↘0.065, 0.06%
03      102.3185
↗0.076, 0.07%
04      102.1604
↗0.158, 0.15%
05      102.1855
↘0.025, 0.02%
06      102.1753
↗0.010, 0.01%
07      102.1964
↘0.021, 0.02%
08      102.0419
↗0.154, 0.15%
09      101.8672
↗0.175, 0.17%
10      101.8218
↗0.045, 0.04%
11      101.9617
↘0.140, 0.14%
12      101.8621
↗0.100, 0.10%
13      101.8597
↗0.002, 0.00%
14      101.9649
↘0.105, 0.10%
15      102.0399
↘0.075, 0.07%
16      101.8277
↗0.212, 0.21%
17      101.8187
↗0.009, 0.01%
18      101.7651
↗0.054, 0.05%
19      101.7219
↗0.043, 0.04%
20      101.7226
↘0.001, 0.00%
21      101.6230
↗0.100, 0.10%
22      101.7383
↘0.115, 0.11%
23      101.8471
↘0.109, 0.11%
24      101.6050
↗0.242, 0.24%
25      101.7998
↘0.195, 0.19%
26      101.9185
↘0.119, 0.12%
27      101.9094
↗0.009, 0.01%
28      102.3929
↘0.483, 0.47%
29      101.9789
↗0.414, 0.40%
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”),102.329,102.33],[new Date(“2016-02-02”),102.394,102.39],[new Date(“2016-02-03”),102.319,102.32],[new Date(“2016-02-04”),102.160,102.16],[new Date(“2016-02-05”),102.186,102.19],[new Date(“2016-02-06”),102.175,102.18],[new Date(“2016-02-07”),102.196,102.20],[new Date(“2016-02-08”),102.042,102.04],[new Date(“2016-02-09”),101.867,101.87],[new Date(“2016-02-10”),101.822,101.82],[new Date(“2016-02-11”),101.962,101.96],[new Date(“2016-02-12”),101.862,101.86],[new Date(“2016-02-13”),101.860,101.86],[new Date(“2016-02-14”),101.965,101.96],[new Date(“2016-02-15”),102.040,102.04],[new Date(“2016-02-16”),101.828,101.83],[new Date(“2016-02-17”),101.819,101.82],[new Date(“2016-02-18”),101.765,101.77],[new Date(“2016-02-19”),101.722,101.72],[new Date(“2016-02-20”),101.723,101.72],[new Date(“2016-02-21”),101.623,101.62],[new Date(“2016-02-22”),101.738,101.74],[new Date(“2016-02-23”),101.847,101.85],[new Date(“2016-02-24”),101.605,101.60],[new Date(“2016-02-25”),101.800,101.80],[new Date(“2016-02-26”),101.918,101.92],[new Date(“2016-02-27”),101.909,101.91],[new Date(“2016-02-28”),102.393,102.39],[new Date(“2016-02-29″),101.979,101.98],]);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      102.4379
02      102.3371
↗0.101, 0.10%
03      102.5199
↘0.183, 0.18%
04      102.6559
↘0.136, 0.13%
05      102.3174
↗0.338, 0.33%
06      102.2372
↗0.080, 0.08%
07      101.9612
↗0.276, 0.27%
08      102.1446
↘0.183, 0.18%
09      102.1530
↘0.008, 0.01%
10      101.8579
↗0.295, 0.29%
11      102.2699
↘0.412, 0.40%
12      102.3489
↘0.079, 0.08%
13      102.3963
↘0.047, 0.05%
14      102.4031
↘0.007, 0.01%
15      102.3779
↗0.025, 0.02%
16      102.3753
↗0.003, 0.00%
17      102.3049
↗0.070, 0.07%
18      102.4049
↘0.100, 0.10%
19      102.3890
↗0.016, 0.02%
20      102.4659
↘0.077, 0.08%
21      102.3313
↗0.135, 0.13%
22      102.4085
↘0.077, 0.08%
23      102.4010
↗0.008, 0.01%
24      102.4964
↘0.095, 0.09%
25      102.2779
↗0.219, 0.21%
26      102.1401
↗0.138, 0.13%
27      102.2468
↘0.107, 0.10%
28      102.2043
↗0.042, 0.04%
29      102.5038
↘0.300, 0.29%
30      102.5180
↘0.014, 0.01%
31      102.9469
↘0.429, 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”),102.438,102.44],[new Date(“2016-01-02”),102.337,102.34],[new Date(“2016-01-03”),102.520,102.52],[new Date(“2016-01-04”),102.656,102.66],[new Date(“2016-01-05”),102.317,102.32],[new Date(“2016-01-06”),102.237,102.24],[new Date(“2016-01-07”),101.961,101.96],[new Date(“2016-01-08”),102.145,102.14],[new Date(“2016-01-09”),102.153,102.15],[new Date(“2016-01-10”),101.858,101.86],[new Date(“2016-01-11”),102.270,102.27],[new Date(“2016-01-12”),102.349,102.35],[new Date(“2016-01-13”),102.396,102.40],[new Date(“2016-01-14”),102.403,102.40],[new Date(“2016-01-15”),102.378,102.38],[new Date(“2016-01-16”),102.375,102.38],[new Date(“2016-01-17”),102.305,102.30],[new Date(“2016-01-18”),102.405,102.40],[new Date(“2016-01-19”),102.389,102.39],[new Date(“2016-01-20”),102.466,102.47],[new Date(“2016-01-21”),102.331,102.33],[new Date(“2016-01-22”),102.409,102.41],[new Date(“2016-01-23”),102.401,102.40],[new Date(“2016-01-24”),102.496,102.50],[new Date(“2016-01-25”),102.278,102.28],[new Date(“2016-01-26”),102.140,102.14],[new Date(“2016-01-27”),102.247,102.25],[new Date(“2016-01-28”),102.204,102.20],[new Date(“2016-01-29”),102.504,102.50],[new Date(“2016-01-30”),102.518,102.52],[new Date(“2016-01-31″),102.947,102.95],]);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);
}