Kenyan Shilling KES 2019 Conversion Rates

  • Opening Value is 101.840185 KES per Dollar
  • Closing Value is 101.354210 KES per Dollar
  • Change in Value during 2019 is -0.4860 which is -0.48%
  • Best Performance is on 2019-03-10 with 99.579888 KES per Dollar
  • Lowest Performance is on 2019-07-30 with 104.204972 KES per Dollar
  • Average Value is 101.9902 KES per Dollar
  • Swing Between the higest and the lowest is 4.6251 per Dollar, that is 4.54% compared to the opening value.

USD to KES Conversion Rates – 12 months

Date 1 USD =
2019-12-31 101.3542 KES
2019-11-30 102.6034 KES
2019-10-31 103.3033 KES
2019-09-30 103.8350 KES
2019-08-31 103.5038 KES
2019-07-31 104.1501 KES
2019-06-30 102.3401 KES
2019-05-31 101.3304 KES
2019-04-30 101.0000 KES
2019-03-31 100.8302 KES
2019-02-28 100.1504 KES
2019-01-31 100.7500 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(“2019-12-31”),101.354,101.35],[new Date(“2019-11-30”),102.603,102.60],[new Date(“2019-10-31”),103.303,103.30],[new Date(“2019-09-30”),103.835,103.83],[new Date(“2019-08-31”),103.504,103.50],[new Date(“2019-07-31”),104.150,104.15],[new Date(“2019-06-30”),102.340,102.34],[new Date(“2019-05-31”),101.330,101.33],[new Date(“2019-04-30”),101.000,101.00],[new Date(“2019-03-31”),100.830,100.83],[new Date(“2019-02-28”),100.150,100.15],[new Date(“2019-01-31”),100.750,100.75],]);var options = {
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‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2019

01      102.6034
02      102.7099
↘0.106, 0.10%
03      102.3022
↗0.408, 0.40%
04      102.0002
↗0.302, 0.30%
05      101.6496
↗0.351, 0.34%
06      101.7104
↘0.061, 0.06%
07      101.7104
→0.000, 0.00%
08      101.7101
↗0.000, 0.00%
09      101.3992
↗0.311, 0.31%
10      101.5019
↘0.103, 0.10%
11      101.6902
↘0.188, 0.19%
12      101.6976
↘0.007, 0.01%
13      101.7065
↘0.009, 0.01%
14      101.7065
→0.000, 0.00%
15      101.7065
↗0.000, 0.00%
16      101.6026
↗0.104, 0.10%
17      101.4967
↗0.106, 0.10%
18      101.1452
↗0.351, 0.35%
19      100.6980
↗0.447, 0.44%
20      100.7062
↘0.008, 0.01%
21      100.7062
→0.000, 0.00%
22      100.7062
→0.000, 0.00%
23      100.6028
↗0.103, 0.10%
24      100.8100
↘0.207, 0.21%
25      100.8197
↘0.010, 0.01%
26      100.8498
↘0.030, 0.03%
27      101.2482
↘0.398, 0.39%
28      101.2482
→0.000, 0.00%
29      101.2482
→0.000, 0.00%
30      101.4402
↘0.192, 0.19%
31      101.3542
↗0.086, 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”);
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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      103.2504
02      103.2504
→0.000, 0.00%
03      103.2496
↗0.001, 0.00%
04      103.3101
↘0.060, 0.06%
05      103.1985
↗0.112, 0.11%
06      102.9103
↗0.288, 0.28%
07      102.8478
↗0.062, 0.06%
08      102.4475
↗0.400, 0.39%
09      102.4475
→0.000, 0.00%
10      102.4475
→0.000, 0.00%
11      102.4097
↗0.038, 0.04%
12      102.4025
↗0.007, 0.01%
13      102.1103
↗0.292, 0.29%
14      102.0502
↗0.060, 0.06%
15      101.9504
↗0.100, 0.10%
16      101.9609
↘0.010, 0.01%
17      101.9609
→0.000, 0.00%
18      101.8498
↗0.111, 0.11%
19      101.7398
↗0.110, 0.11%
20      101.1498
↗0.590, 0.58%
21      101.1500
↘0.000, 0.00%
22      101.5962
↘0.446, 0.44%
23      101.5962
→0.000, 0.00%
24      101.5983
↘0.002, 0.00%
25      102.0974
↘0.499, 0.49%
26      102.4997
↘0.402, 0.39%
27      102.5238
↘0.024, 0.02%
28      102.8035
↘0.280, 0.27%
29      102.5946
↗0.209, 0.20%
30      102.6034
↘0.009, 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”);
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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      103.8303
02      103.8950
↘0.065, 0.06%
03      103.7985
↗0.097, 0.09%
04      103.9104
↘0.112, 0.11%
05      103.8804
↗0.030, 0.03%
06      103.8800
↗0.000, 0.00%
07      103.7987
↗0.081, 0.08%
08      103.8018
↘0.003, 0.00%
09      103.7303
↗0.071, 0.07%
10      103.7395
↘0.009, 0.01%
11      103.7404
↘0.001, 0.00%
12      103.7404
→0.000, 0.00%
13      103.7404
↘0.000, 0.00%
14      103.7897
↘0.049, 0.05%
15      103.7596
↗0.030, 0.03%
16      103.7502
↗0.009, 0.01%
17      103.7401
↗0.010, 0.01%
18      103.7604
↘0.020, 0.02%
19      103.7604
→0.000, 0.00%
20      103.7601
↗0.000, 0.00%
21      103.7513
↗0.009, 0.01%
22      103.5898
↗0.162, 0.16%
23      103.6097
↘0.020, 0.02%
24      103.2534
↗0.356, 0.34%
25      103.5038
↘0.250, 0.24%
26      103.5038
→0.000, 0.00%
27      103.4974
↗0.006, 0.01%
28      103.5976
↘0.100, 0.10%
29      103.4048
↗0.193, 0.19%
30      103.1781
↗0.227, 0.22%
31      103.3033
↘0.125, 0.12%
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”),103.830,103.83],[new Date(“2019-10-02”),103.895,103.89],[new Date(“2019-10-03”),103.798,103.80],[new Date(“2019-10-04”),103.910,103.91],[new Date(“2019-10-05”),103.880,103.88],[new Date(“2019-10-06”),103.880,103.88],[new Date(“2019-10-07”),103.799,103.80],[new Date(“2019-10-08”),103.802,103.80],[new Date(“2019-10-09”),103.730,103.73],[new Date(“2019-10-10”),103.740,103.74],[new Date(“2019-10-11”),103.740,103.74],[new Date(“2019-10-12”),103.740,103.74],[new Date(“2019-10-13”),103.740,103.74],[new Date(“2019-10-14”),103.790,103.79],[new Date(“2019-10-15”),103.760,103.76],[new Date(“2019-10-16”),103.750,103.75],[new Date(“2019-10-17”),103.740,103.74],[new Date(“2019-10-18”),103.760,103.76],[new Date(“2019-10-19”),103.760,103.76],[new Date(“2019-10-20”),103.760,103.76],[new Date(“2019-10-21”),103.751,103.75],[new Date(“2019-10-22”),103.590,103.59],[new Date(“2019-10-23”),103.610,103.61],[new Date(“2019-10-24”),103.253,103.25],[new Date(“2019-10-25”),103.504,103.50],[new Date(“2019-10-26”),103.504,103.50],[new Date(“2019-10-27”),103.497,103.50],[new Date(“2019-10-28”),103.598,103.60],[new Date(“2019-10-29”),103.405,103.40],[new Date(“2019-10-30”),103.178,103.18],[new Date(“2019-10-31″),103.303,103.30],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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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      103.5033
02      103.5550
↘0.052, 0.05%
03      103.8777
↘0.323, 0.31%
04      103.8902
↘0.013, 0.01%
05      103.8501
↗0.040, 0.04%
06      103.9038
↘0.054, 0.05%
07      102.9504
↗0.953, 0.92%
08      102.9502
↗0.000, 0.00%
09      103.7379
↘0.788, 0.77%
10      103.6497
↗0.088, 0.08%
11      103.7102
↘0.061, 0.06%
12      103.6950
↗0.015, 0.01%
13      103.7104
↘0.015, 0.01%
14      103.7104
→0.000, 0.00%
15      103.7096
↗0.001, 0.00%
16      103.7950
↘0.085, 0.08%
17      103.7401
↗0.055, 0.05%
18      103.9503
↘0.210, 0.20%
19      103.8951
↗0.055, 0.05%
20      103.6604
↗0.235, 0.23%
21      103.6604
→0.000, 0.00%
22      103.6600
↗0.000, 0.00%
23      103.8950
↘0.235, 0.23%
24      103.7903
↗0.105, 0.10%
25      103.9103
↘0.120, 0.12%
26      103.7901
↗0.120, 0.12%
27      103.9104
↘0.120, 0.12%
28      103.9104
→0.000, 0.00%
29      103.9100
↗0.000, 0.00%
30      103.8350
↗0.075, 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(“2019-09-01”),103.503,103.50],[new Date(“2019-09-02”),103.555,103.55],[new Date(“2019-09-03”),103.878,103.88],[new Date(“2019-09-04”),103.890,103.89],[new Date(“2019-09-05”),103.850,103.85],[new Date(“2019-09-06”),103.904,103.90],[new Date(“2019-09-07”),102.950,102.95],[new Date(“2019-09-08”),102.950,102.95],[new Date(“2019-09-09”),103.738,103.74],[new Date(“2019-09-10”),103.650,103.65],[new Date(“2019-09-11”),103.710,103.71],[new Date(“2019-09-12”),103.695,103.69],[new Date(“2019-09-13”),103.710,103.71],[new Date(“2019-09-14”),103.710,103.71],[new Date(“2019-09-15”),103.710,103.71],[new Date(“2019-09-16”),103.795,103.80],[new Date(“2019-09-17”),103.740,103.74],[new Date(“2019-09-18”),103.950,103.95],[new Date(“2019-09-19”),103.895,103.90],[new Date(“2019-09-20”),103.660,103.66],[new Date(“2019-09-21”),103.660,103.66],[new Date(“2019-09-22”),103.660,103.66],[new Date(“2019-09-23”),103.895,103.90],[new Date(“2019-09-24”),103.790,103.79],[new Date(“2019-09-25”),103.910,103.91],[new Date(“2019-09-26”),103.790,103.79],[new Date(“2019-09-27”),103.910,103.91],[new Date(“2019-09-28”),103.910,103.91],[new Date(“2019-09-29”),103.910,103.91],[new Date(“2019-09-30″),103.835,103.83],]);var options = {
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title: ‘Date’
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
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August, 2019

01      103.2601
02      103.0504
↗0.210, 0.20%
03      103.0504
→0.000, 0.00%
04      103.0498
↗0.001, 0.00%
05      103.1198
↘0.070, 0.07%
06      103.3550
↘0.235, 0.23%
07      103.5200
↘0.165, 0.16%
08      103.4210
↗0.099, 0.10%
09      103.1504
↗0.271, 0.26%
10      103.1504
→0.000, 0.00%
11      103.1502
↗0.000, 0.00%
12      103.2029
↘0.053, 0.05%
13      103.2801
↘0.077, 0.07%
14      103.2602
↗0.020, 0.02%
15      103.3402
↘0.080, 0.08%
16      103.4038
↘0.064, 0.06%
17      103.4038
→0.000, 0.00%
18      103.4008
↗0.003, 0.00%
19      103.3102
↗0.091, 0.09%
20      103.0101
↗0.300, 0.29%
21      102.9902
↗0.020, 0.02%
22      103.0950
↘0.105, 0.10%
23      103.2450
↘0.150, 0.15%
24      102.3804
↗0.865, 0.84%
25      103.2500
↘0.870, 0.85%
26      103.4101
↘0.160, 0.16%
27      103.4499
↘0.040, 0.04%
28      103.4550
↘0.005, 0.00%
29      103.6098
↘0.155, 0.15%
30      103.5038
↗0.106, 0.10%
31      103.5038
→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’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
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July, 2019

01      102.7108
02      103.0104
↘0.300, 0.29%
03      102.2400
↗0.770, 0.75%
04      102.6007
↘0.361, 0.35%
05      102.6038
↘0.003, 0.00%
06      102.6038
→0.000, 0.00%
07      102.6016
↗0.002, 0.00%
08      102.6400
↘0.038, 0.04%
09      102.8594
↘0.219, 0.21%
10      102.9502
↘0.091, 0.09%
11      102.8950
↗0.055, 0.05%
12      102.9504
↘0.055, 0.05%
13      102.9504
→0.000, 0.00%
14      102.9498
↗0.001, 0.00%
15      103.1050
↘0.155, 0.15%
16      103.1796
↘0.075, 0.07%
17      103.0502
↗0.129, 0.13%
18      103.0502
↗0.000, 0.00%
19      103.3604
↘0.310, 0.30%
20      103.2038
↗0.157, 0.15%
21      103.1971
↗0.007, 0.01%
22      103.5985
↘0.401, 0.39%
23      103.5965
↗0.002, 0.00%
24      103.9950
↘0.399, 0.38%
25      103.7498
↗0.245, 0.24%
26      103.8104
↘0.061, 0.06%
27      103.8104
→0.000, 0.00%
28      103.8101
↗0.000, 0.00%
29      104.0950
↘0.285, 0.27%
30      104.2050
↘0.110, 0.11%
31      104.1501
↗0.055, 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(“2019-07-01”),102.711,102.71],[new Date(“2019-07-02”),103.010,103.01],[new Date(“2019-07-03”),102.240,102.24],[new Date(“2019-07-04”),102.601,102.60],[new Date(“2019-07-05”),102.604,102.60],[new Date(“2019-07-06”),102.604,102.60],[new Date(“2019-07-07”),102.602,102.60],[new Date(“2019-07-08”),102.640,102.64],[new Date(“2019-07-09”),102.859,102.86],[new Date(“2019-07-10”),102.950,102.95],[new Date(“2019-07-11”),102.895,102.89],[new Date(“2019-07-12”),102.950,102.95],[new Date(“2019-07-13”),102.950,102.95],[new Date(“2019-07-14”),102.950,102.95],[new Date(“2019-07-15”),103.105,103.10],[new Date(“2019-07-16”),103.180,103.18],[new Date(“2019-07-17”),103.050,103.05],[new Date(“2019-07-18”),103.050,103.05],[new Date(“2019-07-19”),103.360,103.36],[new Date(“2019-07-20”),103.204,103.20],[new Date(“2019-07-21”),103.197,103.20],[new Date(“2019-07-22”),103.598,103.60],[new Date(“2019-07-23”),103.596,103.60],[new Date(“2019-07-24”),103.995,104.00],[new Date(“2019-07-25”),103.750,103.75],[new Date(“2019-07-26”),103.810,103.81],[new Date(“2019-07-27”),103.810,103.81],[new Date(“2019-07-28”),103.810,103.81],[new Date(“2019-07-29”),104.095,104.09],[new Date(“2019-07-30”),104.205,104.20],[new Date(“2019-07-31″),104.150,104.15],]);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_7’));
chart.draw(data, options);
}

June, 2019

01      101.3304
02      101.3300
↗0.000, 0.00%
03      101.1598
↗0.170, 0.17%
04      101.1504
↗0.009, 0.01%
05      101.1504
↘0.000, 0.00%
06      101.1398
↗0.011, 0.01%
07      101.2050
↘0.065, 0.06%
08      101.2050
→0.000, 0.00%
09      101.2097
↘0.005, 0.00%
10      101.1397
↗0.070, 0.07%
11      101.1603
↘0.021, 0.02%
12      101.1485
↗0.012, 0.01%
13      101.5303
↘0.382, 0.38%
14      101.8504
↘0.320, 0.32%
15      101.6125
↗0.238, 0.23%
16      101.8497
↘0.237, 0.23%
17      102.0500
↘0.200, 0.20%
18      102.1050
↘0.055, 0.05%
19      101.8902
↗0.215, 0.21%
20      101.9103
↘0.020, 0.02%
21      101.8904
↗0.020, 0.02%
22      101.8904
→0.000, 0.00%
23      101.8904
↗0.000, 0.00%
24      101.8950
↘0.005, 0.00%
25      102.1494
↘0.254, 0.25%
26      102.1404
↗0.009, 0.01%
27      102.3505
↘0.210, 0.21%
28      102.3404
↗0.010, 0.01%
29      102.3404
→0.000, 0.00%
30      102.3401
↗0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-06-01”),101.330,101.33],[new Date(“2019-06-02”),101.330,101.33],[new Date(“2019-06-03”),101.160,101.16],[new Date(“2019-06-04”),101.150,101.15],[new Date(“2019-06-05”),101.150,101.15],[new Date(“2019-06-06”),101.140,101.14],[new Date(“2019-06-07”),101.205,101.21],[new Date(“2019-06-08”),101.205,101.21],[new Date(“2019-06-09”),101.210,101.21],[new Date(“2019-06-10”),101.140,101.14],[new Date(“2019-06-11”),101.160,101.16],[new Date(“2019-06-12”),101.148,101.15],[new Date(“2019-06-13”),101.530,101.53],[new Date(“2019-06-14”),101.850,101.85],[new Date(“2019-06-15”),101.613,101.61],[new Date(“2019-06-16”),101.850,101.85],[new Date(“2019-06-17”),102.050,102.05],[new Date(“2019-06-18”),102.105,102.10],[new Date(“2019-06-19”),101.890,101.89],[new Date(“2019-06-20”),101.910,101.91],[new Date(“2019-06-21”),101.890,101.89],[new Date(“2019-06-22”),101.890,101.89],[new Date(“2019-06-23”),101.890,101.89],[new Date(“2019-06-24”),101.895,101.89],[new Date(“2019-06-25”),102.149,102.15],[new Date(“2019-06-26”),102.140,102.14],[new Date(“2019-06-27”),102.350,102.35],[new Date(“2019-06-28”),102.340,102.34],[new Date(“2019-06-29”),102.340,102.34],[new Date(“2019-06-30″),102.340,102.34],]);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      101.0698
02      101.1500
↘0.080, 0.08%
03      101.1104
↗0.040, 0.04%
04      101.1104
→0.000, 0.00%
05      101.1100
↗0.000, 0.00%
06      100.8955
↗0.214, 0.21%
07      101.1036
↘0.208, 0.21%
08      101.4530
↘0.349, 0.35%
09      101.4600
↘0.007, 0.01%
10      101.1104
↗0.350, 0.34%
11      101.1104
→0.000, 0.00%
12      101.1103
↗0.000, 0.00%
13      101.1101
↗0.000, 0.00%
14      101.1101
↗0.000, 0.00%
15      101.1397
↘0.030, 0.03%
16      101.1405
↘0.001, 0.00%
17      101.2038
↘0.063, 0.06%
18      101.2038
→0.000, 0.00%
19      101.2029
↗0.001, 0.00%
20      101.1399
↗0.063, 0.06%
21      101.2595
↘0.120, 0.12%
22      101.2384
↗0.021, 0.02%
23      101.3098
↘0.071, 0.07%
24      101.2450
↗0.065, 0.06%
25      101.2355
↗0.010, 0.01%
26      101.2498
↘0.014, 0.01%
27      101.2604
↘0.011, 0.01%
28      101.3298
↘0.069, 0.07%
29      101.1500
↗0.180, 0.18%
30      101.1297
↗0.020, 0.02%
31      101.3304
↘0.201, 0.20%
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”),101.070,101.07],[new Date(“2019-05-02”),101.150,101.15],[new Date(“2019-05-03”),101.110,101.11],[new Date(“2019-05-04”),101.110,101.11],[new Date(“2019-05-05”),101.110,101.11],[new Date(“2019-05-06”),100.896,100.90],[new Date(“2019-05-07”),101.104,101.10],[new Date(“2019-05-08”),101.453,101.45],[new Date(“2019-05-09”),101.460,101.46],[new Date(“2019-05-10”),101.110,101.11],[new Date(“2019-05-11”),101.110,101.11],[new Date(“2019-05-12”),101.110,101.11],[new Date(“2019-05-13”),101.110,101.11],[new Date(“2019-05-14”),101.110,101.11],[new Date(“2019-05-15”),101.140,101.14],[new Date(“2019-05-16”),101.141,101.14],[new Date(“2019-05-17”),101.204,101.20],[new Date(“2019-05-18”),101.204,101.20],[new Date(“2019-05-19”),101.203,101.20],[new Date(“2019-05-20”),101.140,101.14],[new Date(“2019-05-21”),101.259,101.26],[new Date(“2019-05-22”),101.238,101.24],[new Date(“2019-05-23”),101.310,101.31],[new Date(“2019-05-24”),101.245,101.25],[new Date(“2019-05-25”),101.236,101.24],[new Date(“2019-05-26”),101.250,101.25],[new Date(“2019-05-27”),101.260,101.26],[new Date(“2019-05-28”),101.330,101.33],[new Date(“2019-05-29”),101.150,101.15],[new Date(“2019-05-30”),101.130,101.13],[new Date(“2019-05-31″),101.330,101.33],]);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      100.8540
02      100.7930
↗0.061, 0.06%
03      100.6902
↗0.103, 0.10%
04      100.7501
↘0.060, 0.06%
05      100.6904
↗0.060, 0.06%
06      100.6904
→0.000, 0.00%
07      100.6901
↗0.000, 0.00%
08      100.7599
↘0.070, 0.07%
09      100.8935
↘0.134, 0.13%
10      101.1100
↘0.216, 0.21%
11      100.6972
↗0.413, 0.41%
12      101.0004
↘0.303, 0.30%
13      100.8105
↗0.190, 0.19%
14      100.9999
↘0.189, 0.19%
15      100.9903
↗0.010, 0.01%
16      101.1098
↘0.120, 0.12%
17      101.2503
↘0.140, 0.14%
18      101.4036
↘0.153, 0.15%
19      101.4038
↘0.000, 0.00%
20      101.4038
→0.000, 0.00%
21      101.4009
↗0.003, 0.00%
22      101.3800
↗0.021, 0.02%
23      101.2501
↗0.130, 0.13%
24      101.2485
↗0.002, 0.00%
25      101.6035
↘0.355, 0.35%
26      101.6038
↘0.000, 0.00%
27      101.4285
↗0.175, 0.17%
28      101.4302
↘0.002, 0.00%
29      101.4503
↘0.020, 0.02%
30      101.0000
↗0.450, 0.44%
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”),100.854,100.85],[new Date(“2019-04-02”),100.793,100.79],[new Date(“2019-04-03”),100.690,100.69],[new Date(“2019-04-04”),100.750,100.75],[new Date(“2019-04-05”),100.690,100.69],[new Date(“2019-04-06”),100.690,100.69],[new Date(“2019-04-07”),100.690,100.69],[new Date(“2019-04-08”),100.760,100.76],[new Date(“2019-04-09”),100.893,100.89],[new Date(“2019-04-10”),101.110,101.11],[new Date(“2019-04-11”),100.697,100.70],[new Date(“2019-04-12”),101.000,101.00],[new Date(“2019-04-13”),100.811,100.81],[new Date(“2019-04-14”),101.000,101.00],[new Date(“2019-04-15”),100.990,100.99],[new Date(“2019-04-16”),101.110,101.11],[new Date(“2019-04-17”),101.250,101.25],[new Date(“2019-04-18”),101.404,101.40],[new Date(“2019-04-19”),101.404,101.40],[new Date(“2019-04-20”),101.404,101.40],[new Date(“2019-04-21”),101.401,101.40],[new Date(“2019-04-22”),101.380,101.38],[new Date(“2019-04-23”),101.250,101.25],[new Date(“2019-04-24”),101.248,101.25],[new Date(“2019-04-25”),101.603,101.60],[new Date(“2019-04-26”),101.604,101.60],[new Date(“2019-04-27”),101.429,101.43],[new Date(“2019-04-28”),101.430,101.43],[new Date(“2019-04-29”),101.450,101.45],[new Date(“2019-04-30″),101.000,101.00],]);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_4’));
chart.draw(data, options);
}

March, 2019

01      100.1404
02      100.1404
→0.000, 0.00%
03      100.1403
↗0.000, 0.00%
04      100.1802
↘0.040, 0.04%
05      100.1800
↗0.000, 0.00%
06      100.1796
↗0.000, 0.00%
07      100.0097
↗0.170, 0.17%
08      99.6304
↗0.379, 0.38%
09      99.6304
→0.000, 0.00%
10      99.5799
↗0.050, 0.05%
11      99.6399
↘0.060, 0.06%
12      100.2603
↘0.620, 0.62%
13      100.1975
↗0.063, 0.06%
14      100.1967
↗0.001, 0.00%
15      100.1804
↗0.016, 0.02%
16      100.1804
→0.000, 0.00%
17      99.6902
↗0.490, 0.49%
18      100.6450
↘0.955, 0.96%
19      100.8598
↘0.215, 0.21%
20      101.0101
↘0.150, 0.15%
21      100.7895
↗0.221, 0.22%
22      100.7305
↗0.059, 0.06%
23      100.5950
↗0.135, 0.13%
24      100.5949
↗0.000, 0.00%
25      101.0003
↘0.405, 0.40%
26      100.9970
↗0.003, 0.00%
27      100.7964
↗0.201, 0.20%
28      100.7505
↗0.046, 0.05%
29      100.8304
↘0.080, 0.08%
30      100.8304
→0.000, 0.00%
31      100.8302
↗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(“2019-03-01”),100.140,100.14],[new Date(“2019-03-02”),100.140,100.14],[new Date(“2019-03-03”),100.140,100.14],[new Date(“2019-03-04”),100.180,100.18],[new Date(“2019-03-05”),100.180,100.18],[new Date(“2019-03-06”),100.180,100.18],[new Date(“2019-03-07”),100.010,100.01],[new Date(“2019-03-08”),99.630,99.63],[new Date(“2019-03-09”),99.630,99.63],[new Date(“2019-03-10”),99.580,99.58],[new Date(“2019-03-11”),99.640,99.64],[new Date(“2019-03-12”),100.260,100.26],[new Date(“2019-03-13”),100.198,100.20],[new Date(“2019-03-14”),100.197,100.20],[new Date(“2019-03-15”),100.180,100.18],[new Date(“2019-03-16”),100.180,100.18],[new Date(“2019-03-17”),99.690,99.69],[new Date(“2019-03-18”),100.645,100.64],[new Date(“2019-03-19”),100.860,100.86],[new Date(“2019-03-20”),101.010,101.01],[new Date(“2019-03-21”),100.789,100.79],[new Date(“2019-03-22”),100.731,100.73],[new Date(“2019-03-23”),100.595,100.60],[new Date(“2019-03-24”),100.595,100.59],[new Date(“2019-03-25”),101.000,101.00],[new Date(“2019-03-26”),100.997,101.00],[new Date(“2019-03-27”),100.796,100.80],[new Date(“2019-03-28”),100.751,100.75],[new Date(“2019-03-29”),100.830,100.83],[new Date(“2019-03-30”),100.830,100.83],[new Date(“2019-03-31″),100.830,100.83],]);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_3’));
chart.draw(data, options);
}

February, 2019

01      100.4604
02      100.4604
→0.000, 0.00%
03      100.4600
↗0.000, 0.00%
04      100.0915
↗0.368, 0.37%
05      100.1041
↘0.013, 0.01%
06      100.0495
↗0.055, 0.05%
07      100.1904
↘0.141, 0.14%
08      100.4304
↘0.240, 0.24%
09      100.3330
↗0.097, 0.10%
10      100.3304
↗0.003, 0.00%
11      100.7303
↘0.400, 0.40%
12      100.2499
↗0.480, 0.48%
13      100.2061
↗0.044, 0.04%
14      100.2100
↘0.004, 0.00%
15      100.1204
↗0.090, 0.09%
16      100.1204
→0.000, 0.00%
17      100.1201
↗0.000, 0.00%
18      100.1505
↘0.030, 0.03%
19      100.1297
↗0.021, 0.02%
20      100.1555
↘0.026, 0.03%
21      100.1598
↘0.004, 0.00%
22      100.1104
↗0.049, 0.05%
23      100.0285
↗0.082, 0.08%
24      100.1098
↘0.081, 0.08%
25      100.1897
↘0.080, 0.08%
26      100.1901
↘0.000, 0.00%
27      100.1803
↗0.010, 0.01%
28      100.1504
↗0.030, 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”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-02-01”),100.460,100.46],[new Date(“2019-02-02”),100.460,100.46],[new Date(“2019-02-03”),100.460,100.46],[new Date(“2019-02-04”),100.091,100.09],[new Date(“2019-02-05”),100.104,100.10],[new Date(“2019-02-06”),100.049,100.05],[new Date(“2019-02-07”),100.190,100.19],[new Date(“2019-02-08”),100.430,100.43],[new Date(“2019-02-09”),100.333,100.33],[new Date(“2019-02-10”),100.330,100.33],[new Date(“2019-02-11”),100.730,100.73],[new Date(“2019-02-12”),100.250,100.25],[new Date(“2019-02-13”),100.206,100.21],[new Date(“2019-02-14”),100.210,100.21],[new Date(“2019-02-15”),100.120,100.12],[new Date(“2019-02-16”),100.120,100.12],[new Date(“2019-02-17”),100.120,100.12],[new Date(“2019-02-18”),100.151,100.15],[new Date(“2019-02-19”),100.130,100.13],[new Date(“2019-02-20”),100.156,100.16],[new Date(“2019-02-21”),100.160,100.16],[new Date(“2019-02-22”),100.110,100.11],[new Date(“2019-02-23”),100.029,100.03],[new Date(“2019-02-24”),100.110,100.11],[new Date(“2019-02-25”),100.190,100.19],[new Date(“2019-02-26”),100.190,100.19],[new Date(“2019-02-27”),100.180,100.18],[new Date(“2019-02-28″),100.150,100.15],]);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_2’));
chart.draw(data, options);
}

January, 2019

01      101.8402
02      102.1949
↘0.355, 0.35%
03      102.2050
↘0.010, 0.01%
04      102.0450
↗0.160, 0.16%
05      102.0504
↘0.005, 0.01%
06      102.0501
↗0.000, 0.00%
07      101.8497
↗0.200, 0.20%
08      101.8403
↗0.009, 0.01%
09      101.8505
↘0.010, 0.01%
10      101.8099
↗0.041, 0.04%
11      101.7604
↗0.050, 0.05%
12      101.7604
→0.000, 0.00%
13      101.7603
↗0.000, 0.00%
14      101.7901
↘0.030, 0.03%
15      101.7966
↘0.007, 0.01%
16      101.8098
↘0.013, 0.01%
17      101.8041
↗0.006, 0.01%
18      101.6904
↗0.114, 0.11%
19      101.6904
→0.000, 0.00%
20      101.6900
↗0.000, 0.00%
21      101.7902
↘0.100, 0.10%
22      101.7956
↘0.005, 0.01%
23      101.5498
↗0.246, 0.24%
24      101.5601
↘0.010, 0.01%
25      100.7604
↗0.800, 0.79%
26      100.3220
↗0.438, 0.44%
27      100.3199
↗0.002, 0.00%
28      100.6800
↘0.360, 0.36%
29      100.7502
↘0.070, 0.07%
30      100.7496
↗0.001, 0.00%
31      100.7500
↘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(“2019-01-01”),101.840,101.84],[new Date(“2019-01-02”),102.195,102.19],[new Date(“2019-01-03”),102.205,102.21],[new Date(“2019-01-04”),102.045,102.05],[new Date(“2019-01-05”),102.050,102.05],[new Date(“2019-01-06”),102.050,102.05],[new Date(“2019-01-07”),101.850,101.85],[new Date(“2019-01-08”),101.840,101.84],[new Date(“2019-01-09”),101.850,101.85],[new Date(“2019-01-10”),101.810,101.81],[new Date(“2019-01-11”),101.760,101.76],[new Date(“2019-01-12”),101.760,101.76],[new Date(“2019-01-13”),101.760,101.76],[new Date(“2019-01-14”),101.790,101.79],[new Date(“2019-01-15”),101.797,101.80],[new Date(“2019-01-16”),101.810,101.81],[new Date(“2019-01-17”),101.804,101.80],[new Date(“2019-01-18”),101.690,101.69],[new Date(“2019-01-19”),101.690,101.69],[new Date(“2019-01-20”),101.690,101.69],[new Date(“2019-01-21”),101.790,101.79],[new Date(“2019-01-22”),101.796,101.80],[new Date(“2019-01-23”),101.550,101.55],[new Date(“2019-01-24”),101.560,101.56],[new Date(“2019-01-25”),100.760,100.76],[new Date(“2019-01-26”),100.322,100.32],[new Date(“2019-01-27”),100.320,100.32],[new Date(“2019-01-28”),100.680,100.68],[new Date(“2019-01-29”),100.750,100.75],[new Date(“2019-01-30”),100.750,100.75],[new Date(“2019-01-31″),100.750,100.75],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}