Kenyan Shilling KES 2014 Conversion Rates

  • Opening Value is 86.355341 KES per Dollar
  • Closing Value is 90.584950 KES per Dollar
  • Change in Value during 2014 is 4.2296 which is 4.90%
  • Best Performance is on 2014-01-23 with 85.495329 KES per Dollar
  • Lowest Performance is on 2014-12-29 with 90.660600 KES per Dollar
  • Average Value is 87.9502 KES per Dollar
  • Swing Between the higest and the lowest is 5.1653 per Dollar, that is 5.98% compared to the opening value.

USD to KES Conversion Rates – 12 months

Date 1 USD =
2014-12-31 90.5850 KES
2014-11-30 90.2495 KES
2014-10-31 89.3962 KES
2014-09-30 89.2798 KES
2014-08-31 88.5762 KES
2014-07-31 87.8055 KES
2014-06-30 87.6152 KES
2014-05-31 87.7569 KES
2014-04-30 86.9671 KES
2014-03-31 86.4036 KES
2014-02-28 86.3847 KES
2014-01-31 86.4268 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(“2014-12-31”),90.585,90.58],[new Date(“2014-11-30”),90.250,90.25],[new Date(“2014-10-31”),89.396,89.40],[new Date(“2014-09-30”),89.280,89.28],[new Date(“2014-08-31”),88.576,88.58],[new Date(“2014-07-31”),87.805,87.81],[new Date(“2014-06-30”),87.615,87.62],[new Date(“2014-05-31”),87.757,87.76],[new Date(“2014-04-30”),86.967,86.97],[new Date(“2014-03-31”),86.404,86.40],[new Date(“2014-02-28”),86.385,86.38],[new Date(“2014-01-31”),86.427,86.43],]);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, 2014

01      90.2197
02      90.3472
↘0.127, 0.14%
03      90.3086
↗0.039, 0.04%
04      90.2960
↗0.013, 0.01%
05      90.2812
↗0.015, 0.02%
06      90.2883
↘0.007, 0.01%
07      90.2743
↗0.014, 0.02%
08      90.3728
↘0.098, 0.11%
09      90.4715
↘0.099, 0.11%
10      90.5878
↘0.116, 0.13%
11      90.5589
↗0.029, 0.03%
12      90.5068
↗0.052, 0.06%
13      90.4995
↗0.007, 0.01%
14      90.4833
↗0.016, 0.02%
15      90.5009
↘0.018, 0.02%
16      90.5647
↘0.064, 0.07%
17      90.4288
↗0.136, 0.15%
18      90.4485
↘0.020, 0.02%
19      90.3909
↗0.058, 0.06%
20      90.3886
↗0.002, 0.00%
21      90.3841
↗0.005, 0.00%
22      90.3970
↘0.013, 0.01%
23      90.5080
↘0.111, 0.12%
24      90.5224
↘0.014, 0.02%
25      90.5121
↗0.010, 0.01%
26      90.5900
↘0.078, 0.09%
27      90.5999
↘0.010, 0.01%
28      90.5775
↗0.022, 0.02%
29      90.6606
↘0.083, 0.09%
30      90.6439
↗0.017, 0.02%
31      90.5850
↗0.059, 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(“2014-12-01”),90.220,90.22],[new Date(“2014-12-02”),90.347,90.35],[new Date(“2014-12-03”),90.309,90.31],[new Date(“2014-12-04”),90.296,90.30],[new Date(“2014-12-05”),90.281,90.28],[new Date(“2014-12-06”),90.288,90.29],[new Date(“2014-12-07”),90.274,90.27],[new Date(“2014-12-08”),90.373,90.37],[new Date(“2014-12-09”),90.471,90.47],[new Date(“2014-12-10”),90.588,90.59],[new Date(“2014-12-11”),90.559,90.56],[new Date(“2014-12-12”),90.507,90.51],[new Date(“2014-12-13”),90.499,90.50],[new Date(“2014-12-14”),90.483,90.48],[new Date(“2014-12-15”),90.501,90.50],[new Date(“2014-12-16”),90.565,90.56],[new Date(“2014-12-17”),90.429,90.43],[new Date(“2014-12-18”),90.449,90.45],[new Date(“2014-12-19”),90.391,90.39],[new Date(“2014-12-20”),90.389,90.39],[new Date(“2014-12-21”),90.384,90.38],[new Date(“2014-12-22”),90.397,90.40],[new Date(“2014-12-23”),90.508,90.51],[new Date(“2014-12-24”),90.522,90.52],[new Date(“2014-12-25”),90.512,90.51],[new Date(“2014-12-26”),90.590,90.59],[new Date(“2014-12-27”),90.600,90.60],[new Date(“2014-12-28”),90.577,90.58],[new Date(“2014-12-29”),90.661,90.66],[new Date(“2014-12-30”),90.644,90.64],[new Date(“2014-12-31″),90.585,90.58],]);var options = {
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title: ‘Date’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2014

01      89.4812
02      89.5877
↘0.107, 0.12%
03      89.7349
↘0.147, 0.16%
04      89.5615
↗0.173, 0.19%
05      89.6986
↘0.137, 0.15%
06      89.9496
↘0.251, 0.28%
07      89.7897
↗0.160, 0.18%
08      89.8272
↘0.037, 0.04%
09      89.6435
↗0.184, 0.20%
10      89.8235
↘0.180, 0.20%
11      89.9088
↘0.085, 0.10%
12      90.0894
↘0.181, 0.20%
13      90.0953
↘0.006, 0.01%
14      90.0096
↗0.086, 0.10%
15      89.9901
↗0.019, 0.02%
16      89.7444
↗0.246, 0.27%
17      89.9550
↘0.211, 0.23%
18      90.0563
↘0.101, 0.11%
19      90.1224
↘0.066, 0.07%
20      90.0741
↗0.048, 0.05%
21      90.1538
↘0.080, 0.09%
22      90.1492
↗0.005, 0.01%
23      90.1930
↘0.044, 0.05%
24      90.1539
↗0.039, 0.04%
25      90.1973
↘0.043, 0.05%
26      90.0669
↗0.130, 0.14%
27      90.1849
↘0.118, 0.13%
28      90.1440
↗0.041, 0.05%
29      90.1606
↘0.017, 0.02%
30      90.2495
↘0.089, 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(“2014-11-01”),89.481,89.48],[new Date(“2014-11-02”),89.588,89.59],[new Date(“2014-11-03”),89.735,89.73],[new Date(“2014-11-04”),89.562,89.56],[new Date(“2014-11-05”),89.699,89.70],[new Date(“2014-11-06”),89.950,89.95],[new Date(“2014-11-07”),89.790,89.79],[new Date(“2014-11-08”),89.827,89.83],[new Date(“2014-11-09”),89.643,89.64],[new Date(“2014-11-10”),89.824,89.82],[new Date(“2014-11-11”),89.909,89.91],[new Date(“2014-11-12”),90.089,90.09],[new Date(“2014-11-13”),90.095,90.10],[new Date(“2014-11-14”),90.010,90.01],[new Date(“2014-11-15”),89.990,89.99],[new Date(“2014-11-16”),89.744,89.74],[new Date(“2014-11-17”),89.955,89.96],[new Date(“2014-11-18”),90.056,90.06],[new Date(“2014-11-19”),90.122,90.12],[new Date(“2014-11-20”),90.074,90.07],[new Date(“2014-11-21”),90.154,90.15],[new Date(“2014-11-22”),90.149,90.15],[new Date(“2014-11-23”),90.193,90.19],[new Date(“2014-11-24”),90.154,90.15],[new Date(“2014-11-25”),90.197,90.20],[new Date(“2014-11-26”),90.067,90.07],[new Date(“2014-11-27”),90.185,90.18],[new Date(“2014-11-28”),90.144,90.14],[new Date(“2014-11-29”),90.161,90.16],[new Date(“2014-11-30″),90.250,90.25],]);var options = {
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title: ‘Date’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2014

01      89.3164
02      89.2889
↗0.028, 0.03%
03      89.2887
↗0.000, 0.00%
04      89.2817
↗0.007, 0.01%
05      89.5925
↘0.311, 0.35%
06      89.4644
↗0.128, 0.14%
07      89.2109
↗0.254, 0.28%
08      89.1603
↗0.051, 0.06%
09      89.0714
↗0.089, 0.10%
10      89.0913
↘0.020, 0.02%
11      89.0930
↘0.002, 0.00%
12      89.0626
↗0.030, 0.03%
13      89.1566
↘0.094, 0.11%
14      89.2188
↘0.062, 0.07%
15      89.1687
↗0.050, 0.06%
16      89.0418
↗0.127, 0.14%
17      89.0901
↘0.048, 0.05%
18      89.0928
↘0.003, 0.00%
19      89.1237
↘0.031, 0.03%
20      89.0301
↗0.094, 0.11%
21      89.0837
↘0.054, 0.06%
22      89.1077
↘0.024, 0.03%
23      89.2484
↘0.141, 0.16%
24      89.3611
↘0.113, 0.13%
25      89.3925
↘0.031, 0.04%
26      89.3393
↗0.053, 0.06%
27      89.3495
↘0.010, 0.01%
28      89.2081
↗0.141, 0.16%
29      89.4262
↘0.218, 0.24%
30      89.2505
↗0.176, 0.20%
31      89.3962
↘0.146, 0.16%
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(“2014-10-01”),89.316,89.32],[new Date(“2014-10-02”),89.289,89.29],[new Date(“2014-10-03”),89.289,89.29],[new Date(“2014-10-04”),89.282,89.28],[new Date(“2014-10-05”),89.592,89.59],[new Date(“2014-10-06”),89.464,89.46],[new Date(“2014-10-07”),89.211,89.21],[new Date(“2014-10-08”),89.160,89.16],[new Date(“2014-10-09”),89.071,89.07],[new Date(“2014-10-10”),89.091,89.09],[new Date(“2014-10-11”),89.093,89.09],[new Date(“2014-10-12”),89.063,89.06],[new Date(“2014-10-13”),89.157,89.16],[new Date(“2014-10-14”),89.219,89.22],[new Date(“2014-10-15”),89.169,89.17],[new Date(“2014-10-16”),89.042,89.04],[new Date(“2014-10-17”),89.090,89.09],[new Date(“2014-10-18”),89.093,89.09],[new Date(“2014-10-19”),89.124,89.12],[new Date(“2014-10-20”),89.030,89.03],[new Date(“2014-10-21”),89.084,89.08],[new Date(“2014-10-22”),89.108,89.11],[new Date(“2014-10-23”),89.248,89.25],[new Date(“2014-10-24”),89.361,89.36],[new Date(“2014-10-25”),89.392,89.39],[new Date(“2014-10-26”),89.339,89.34],[new Date(“2014-10-27”),89.350,89.35],[new Date(“2014-10-28”),89.208,89.21],[new Date(“2014-10-29”),89.426,89.43],[new Date(“2014-10-30”),89.250,89.25],[new Date(“2014-10-31″),89.396,89.40],]);var options = {
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title: ‘Date’
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},
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}

September, 2014

01      88.5367
02      88.5625
↘0.026, 0.03%
03      88.7008
↘0.138, 0.16%
04      88.6121
↗0.089, 0.10%
05      88.6827
↘0.071, 0.08%
06      88.6789
↗0.004, 0.00%
07      88.6327
↗0.046, 0.05%
08      88.6120
↗0.021, 0.02%
09      88.6569
↘0.045, 0.05%
10      88.7013
↘0.044, 0.05%
11      88.7960
↘0.095, 0.11%
12      88.7242
↗0.072, 0.08%
13      88.7278
↘0.004, 0.00%
14      88.6427
↗0.085, 0.10%
15      88.9948
↘0.352, 0.40%
16      89.0441
↘0.049, 0.06%
17      89.2219
↘0.178, 0.20%
18      89.0416
↗0.180, 0.20%
19      88.6819
↗0.360, 0.40%
20      88.5967
↗0.085, 0.10%
21      88.5647
↗0.032, 0.04%
22      88.8013
↘0.237, 0.27%
23      89.0915
↘0.290, 0.33%
24      89.1140
↘0.022, 0.03%
25      89.1953
↘0.081, 0.09%
26      89.1383
↗0.057, 0.06%
27      89.1378
↗0.000, 0.00%
28      89.3151
↘0.177, 0.20%
29      89.3026
↗0.013, 0.01%
30      89.2798
↗0.023, 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(“2014-09-01”),88.537,88.54],[new Date(“2014-09-02”),88.562,88.56],[new Date(“2014-09-03”),88.701,88.70],[new Date(“2014-09-04”),88.612,88.61],[new Date(“2014-09-05”),88.683,88.68],[new Date(“2014-09-06”),88.679,88.68],[new Date(“2014-09-07”),88.633,88.63],[new Date(“2014-09-08”),88.612,88.61],[new Date(“2014-09-09”),88.657,88.66],[new Date(“2014-09-10”),88.701,88.70],[new Date(“2014-09-11”),88.796,88.80],[new Date(“2014-09-12”),88.724,88.72],[new Date(“2014-09-13”),88.728,88.73],[new Date(“2014-09-14”),88.643,88.64],[new Date(“2014-09-15”),88.995,88.99],[new Date(“2014-09-16”),89.044,89.04],[new Date(“2014-09-17”),89.222,89.22],[new Date(“2014-09-18”),89.042,89.04],[new Date(“2014-09-19”),88.682,88.68],[new Date(“2014-09-20”),88.597,88.60],[new Date(“2014-09-21”),88.565,88.56],[new Date(“2014-09-22”),88.801,88.80],[new Date(“2014-09-23”),89.092,89.09],[new Date(“2014-09-24”),89.114,89.11],[new Date(“2014-09-25”),89.195,89.20],[new Date(“2014-09-26”),89.138,89.14],[new Date(“2014-09-27”),89.138,89.14],[new Date(“2014-09-28”),89.315,89.32],[new Date(“2014-09-29”),89.303,89.30],[new Date(“2014-09-30″),89.280,89.28],]);var options = {
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title: ‘Date’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
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August, 2014

01      87.7984
02      87.8029
↘0.005, 0.01%
03      87.8068
↘0.004, 0.00%
04      87.7776
↗0.029, 0.03%
05      87.8938
↘0.116, 0.13%
06      87.9039
↘0.010, 0.01%
07      87.8690
↗0.035, 0.04%
08      87.9427
↘0.074, 0.08%
09      87.9497
↘0.007, 0.01%
10      87.9702
↘0.021, 0.02%
11      87.9427
↗0.028, 0.03%
12      87.9861
↘0.043, 0.05%
13      88.0544
↘0.068, 0.08%
14      88.1013
↘0.047, 0.05%
15      88.1050
↘0.004, 0.00%
16      88.1075
↘0.003, 0.00%
17      88.1139
↘0.006, 0.01%
18      88.2217
↘0.108, 0.12%
19      88.3171
↘0.095, 0.11%
20      88.3022
↗0.015, 0.02%
21      88.3511
↘0.049, 0.06%
22      88.2878
↗0.063, 0.07%
23      88.2848
↗0.003, 0.00%
24      88.3408
↘0.056, 0.06%
25      88.6116
↘0.271, 0.31%
26      88.3952
↗0.216, 0.24%
27      88.4365
↘0.041, 0.05%
28      88.4327
↗0.004, 0.00%
29      88.4415
↘0.009, 0.01%
30      88.4428
↘0.001, 0.00%
31      88.5762
↘0.133, 0.15%
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(“2014-08-01”),87.798,87.80],[new Date(“2014-08-02”),87.803,87.80],[new Date(“2014-08-03”),87.807,87.81],[new Date(“2014-08-04”),87.778,87.78],[new Date(“2014-08-05”),87.894,87.89],[new Date(“2014-08-06”),87.904,87.90],[new Date(“2014-08-07”),87.869,87.87],[new Date(“2014-08-08”),87.943,87.94],[new Date(“2014-08-09”),87.950,87.95],[new Date(“2014-08-10”),87.970,87.97],[new Date(“2014-08-11”),87.943,87.94],[new Date(“2014-08-12”),87.986,87.99],[new Date(“2014-08-13”),88.054,88.05],[new Date(“2014-08-14”),88.101,88.10],[new Date(“2014-08-15”),88.105,88.10],[new Date(“2014-08-16”),88.107,88.11],[new Date(“2014-08-17”),88.114,88.11],[new Date(“2014-08-18”),88.222,88.22],[new Date(“2014-08-19”),88.317,88.32],[new Date(“2014-08-20”),88.302,88.30],[new Date(“2014-08-21”),88.351,88.35],[new Date(“2014-08-22”),88.288,88.29],[new Date(“2014-08-23”),88.285,88.28],[new Date(“2014-08-24”),88.341,88.34],[new Date(“2014-08-25”),88.612,88.61],[new Date(“2014-08-26”),88.395,88.40],[new Date(“2014-08-27”),88.437,88.44],[new Date(“2014-08-28”),88.433,88.43],[new Date(“2014-08-29”),88.442,88.44],[new Date(“2014-08-30”),88.443,88.44],[new Date(“2014-08-31″),88.576,88.58],]);var options = {
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title: ‘Date’
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2014

01      87.7990
02      87.7444
↗0.055, 0.06%
03      87.7776
↘0.033, 0.04%
04      87.8472
↘0.070, 0.08%
05      87.8573
↘0.010, 0.01%
06      87.8640
↘0.007, 0.01%
07      87.8221
↗0.042, 0.05%
08      87.8545
↘0.032, 0.04%
09      87.7237
↗0.131, 0.15%
10      87.6661
↗0.058, 0.07%
11      87.6642
↗0.002, 0.00%
12      87.6716
↘0.007, 0.01%
13      87.6856
↘0.014, 0.02%
14      87.7247
↘0.039, 0.04%
15      87.7372
↘0.012, 0.01%
16      87.7439
↘0.007, 0.01%
17      87.7607
↘0.017, 0.02%
18      87.8198
↘0.059, 0.07%
19      87.5745
↗0.245, 0.28%
20      87.6044
↘0.030, 0.03%
21      87.8664
↘0.262, 0.30%
22      87.8727
↘0.006, 0.01%
23      87.8988
↘0.026, 0.03%
24      87.8255
↗0.073, 0.08%
25      87.7390
↗0.087, 0.10%
26      87.7197
↗0.019, 0.02%
27      87.7097
↗0.010, 0.01%
28      87.7319
↘0.022, 0.03%
29      87.7427
↘0.011, 0.01%
30      87.7616
↘0.019, 0.02%
31      87.8055
↘0.044, 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(“2014-07-01”),87.799,87.80],[new Date(“2014-07-02”),87.744,87.74],[new Date(“2014-07-03”),87.778,87.78],[new Date(“2014-07-04”),87.847,87.85],[new Date(“2014-07-05”),87.857,87.86],[new Date(“2014-07-06”),87.864,87.86],[new Date(“2014-07-07”),87.822,87.82],[new Date(“2014-07-08”),87.855,87.85],[new Date(“2014-07-09”),87.724,87.72],[new Date(“2014-07-10”),87.666,87.67],[new Date(“2014-07-11”),87.664,87.66],[new Date(“2014-07-12”),87.672,87.67],[new Date(“2014-07-13”),87.686,87.69],[new Date(“2014-07-14”),87.725,87.72],[new Date(“2014-07-15”),87.737,87.74],[new Date(“2014-07-16”),87.744,87.74],[new Date(“2014-07-17”),87.761,87.76],[new Date(“2014-07-18”),87.820,87.82],[new Date(“2014-07-19”),87.575,87.57],[new Date(“2014-07-20”),87.604,87.60],[new Date(“2014-07-21”),87.866,87.87],[new Date(“2014-07-22”),87.873,87.87],[new Date(“2014-07-23”),87.899,87.90],[new Date(“2014-07-24”),87.826,87.83],[new Date(“2014-07-25”),87.739,87.74],[new Date(“2014-07-26”),87.720,87.72],[new Date(“2014-07-27”),87.710,87.71],[new Date(“2014-07-28”),87.732,87.73],[new Date(“2014-07-29”),87.743,87.74],[new Date(“2014-07-30”),87.762,87.76],[new Date(“2014-07-31″),87.805,87.81],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}

June, 2014

01      87.7634
02      87.7133
↗0.050, 0.06%
03      87.5756
↗0.138, 0.16%
04      87.5132
↗0.062, 0.07%
05      87.5151
↘0.002, 0.00%
06      87.4760
↗0.039, 0.04%
07      87.4841
↘0.008, 0.01%
08      87.4884
↘0.004, 0.00%
09      87.4635
↗0.025, 0.03%
10      87.6988
↘0.235, 0.27%
11      87.7612
↘0.062, 0.07%
12      87.8098
↘0.049, 0.06%
13      87.9121
↘0.102, 0.12%
14      87.9093
↗0.003, 0.00%
15      87.9279
↘0.019, 0.02%
16      87.9602
↘0.032, 0.04%
17      87.6893
↗0.271, 0.31%
18      87.6056
↗0.084, 0.10%
19      87.4265
↗0.179, 0.20%
20      87.4425
↘0.016, 0.02%
21      87.4326
↗0.010, 0.01%
22      87.4346
↘0.002, 0.00%
23      87.4363
↘0.002, 0.00%
24      87.5082
↘0.072, 0.08%
25      87.5467
↘0.039, 0.04%
26      87.6347
↘0.088, 0.10%
27      87.5539
↗0.081, 0.09%
28      87.5626
↘0.009, 0.01%
29      87.5467
↗0.016, 0.02%
30      87.6152
↘0.068, 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(“2014-06-01”),87.763,87.76],[new Date(“2014-06-02”),87.713,87.71],[new Date(“2014-06-03”),87.576,87.58],[new Date(“2014-06-04”),87.513,87.51],[new Date(“2014-06-05”),87.515,87.52],[new Date(“2014-06-06”),87.476,87.48],[new Date(“2014-06-07”),87.484,87.48],[new Date(“2014-06-08”),87.488,87.49],[new Date(“2014-06-09”),87.464,87.46],[new Date(“2014-06-10”),87.699,87.70],[new Date(“2014-06-11”),87.761,87.76],[new Date(“2014-06-12”),87.810,87.81],[new Date(“2014-06-13”),87.912,87.91],[new Date(“2014-06-14”),87.909,87.91],[new Date(“2014-06-15”),87.928,87.93],[new Date(“2014-06-16”),87.960,87.96],[new Date(“2014-06-17”),87.689,87.69],[new Date(“2014-06-18”),87.606,87.61],[new Date(“2014-06-19”),87.426,87.43],[new Date(“2014-06-20”),87.442,87.44],[new Date(“2014-06-21”),87.433,87.43],[new Date(“2014-06-22”),87.435,87.43],[new Date(“2014-06-23”),87.436,87.44],[new Date(“2014-06-24”),87.508,87.51],[new Date(“2014-06-25”),87.547,87.55],[new Date(“2014-06-26”),87.635,87.63],[new Date(“2014-06-27”),87.554,87.55],[new Date(“2014-06-28”),87.563,87.56],[new Date(“2014-06-29”),87.547,87.55],[new Date(“2014-06-30″),87.615,87.62],]);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_6’));
chart.draw(data, options);
}

May, 2014

01      86.9303
02      86.8737
↗0.057, 0.07%
03      86.8393
↗0.034, 0.04%
04      86.8146
↗0.025, 0.03%
05      86.8818
↘0.067, 0.08%
06      87.0881
↘0.206, 0.24%
07      87.0883
↘0.000, 0.00%
08      87.1213
↘0.033, 0.04%
09      87.1746
↘0.053, 0.06%
10      87.1746
↘0.000, 0.00%
11      87.1942
↘0.020, 0.02%
12      87.1507
↗0.043, 0.05%
13      87.1781
↘0.027, 0.03%
14      87.3028
↘0.125, 0.14%
15      87.3577
↘0.055, 0.06%
16      87.4907
↘0.133, 0.15%
17      87.5033
↘0.013, 0.01%
18      87.5330
↘0.030, 0.03%
19      87.6565
↘0.124, 0.14%
20      87.8170
↘0.160, 0.18%
21      87.8080
↗0.009, 0.01%
22      87.8600
↘0.052, 0.06%
23      87.7877
↗0.072, 0.08%
24      87.7848
↗0.003, 0.00%
25      87.7983
↘0.014, 0.02%
26      87.8818
↘0.084, 0.10%
27      87.8357
↗0.046, 0.05%
28      87.8479
↘0.012, 0.01%
29      87.7969
↗0.051, 0.06%
30      87.7647
↗0.032, 0.04%
31      87.7569
↗0.008, 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(“2014-05-01”),86.930,86.93],[new Date(“2014-05-02”),86.874,86.87],[new Date(“2014-05-03”),86.839,86.84],[new Date(“2014-05-04”),86.815,86.81],[new Date(“2014-05-05”),86.882,86.88],[new Date(“2014-05-06”),87.088,87.09],[new Date(“2014-05-07”),87.088,87.09],[new Date(“2014-05-08”),87.121,87.12],[new Date(“2014-05-09”),87.175,87.17],[new Date(“2014-05-10”),87.175,87.17],[new Date(“2014-05-11”),87.194,87.19],[new Date(“2014-05-12”),87.151,87.15],[new Date(“2014-05-13”),87.178,87.18],[new Date(“2014-05-14”),87.303,87.30],[new Date(“2014-05-15”),87.358,87.36],[new Date(“2014-05-16”),87.491,87.49],[new Date(“2014-05-17”),87.503,87.50],[new Date(“2014-05-18”),87.533,87.53],[new Date(“2014-05-19”),87.657,87.66],[new Date(“2014-05-20”),87.817,87.82],[new Date(“2014-05-21”),87.808,87.81],[new Date(“2014-05-22”),87.860,87.86],[new Date(“2014-05-23”),87.788,87.79],[new Date(“2014-05-24”),87.785,87.78],[new Date(“2014-05-25”),87.798,87.80],[new Date(“2014-05-26”),87.882,87.88],[new Date(“2014-05-27”),87.836,87.84],[new Date(“2014-05-28”),87.848,87.85],[new Date(“2014-05-29”),87.797,87.80],[new Date(“2014-05-30”),87.765,87.76],[new Date(“2014-05-31″),87.757,87.76],]);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, 2014

01      86.4059
02      86.5028
↘0.097, 0.11%
03      86.5280
↘0.025, 0.03%
04      86.6620
↘0.134, 0.15%
05      86.6795
↘0.018, 0.02%
06      86.6743
↗0.005, 0.01%
07      86.6350
↗0.039, 0.05%
08      86.5548
↗0.080, 0.09%
09      86.5937
↘0.039, 0.04%
10      86.5574
↗0.036, 0.04%
11      86.6552
↘0.098, 0.11%
12      86.6570
↘0.002, 0.00%
13      86.7131
↘0.056, 0.06%
14      86.7452
↘0.032, 0.04%
15      86.8630
↘0.118, 0.14%
16      86.8471
↗0.016, 0.02%
17      86.8368
↗0.010, 0.01%
18      86.9122
↘0.075, 0.09%
19      86.9243
↘0.012, 0.01%
20      86.9631
↘0.039, 0.04%
21      86.8757
↗0.087, 0.10%
22      87.0636
↘0.188, 0.22%
23      86.9259
↗0.138, 0.16%
24      86.9142
↗0.012, 0.01%
25      86.8500
↗0.064, 0.07%
26      86.8335
↗0.016, 0.02%
27      86.8148
↗0.019, 0.02%
28      86.8122
↗0.003, 0.00%
29      86.8915
↘0.079, 0.09%
30      86.9671
↘0.076, 0.09%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-04-01”),86.406,86.41],[new Date(“2014-04-02”),86.503,86.50],[new Date(“2014-04-03”),86.528,86.53],[new Date(“2014-04-04”),86.662,86.66],[new Date(“2014-04-05”),86.679,86.68],[new Date(“2014-04-06”),86.674,86.67],[new Date(“2014-04-07”),86.635,86.63],[new Date(“2014-04-08”),86.555,86.55],[new Date(“2014-04-09”),86.594,86.59],[new Date(“2014-04-10”),86.557,86.56],[new Date(“2014-04-11”),86.655,86.66],[new Date(“2014-04-12”),86.657,86.66],[new Date(“2014-04-13”),86.713,86.71],[new Date(“2014-04-14”),86.745,86.75],[new Date(“2014-04-15”),86.863,86.86],[new Date(“2014-04-16”),86.847,86.85],[new Date(“2014-04-17”),86.837,86.84],[new Date(“2014-04-18”),86.912,86.91],[new Date(“2014-04-19”),86.924,86.92],[new Date(“2014-04-20”),86.963,86.96],[new Date(“2014-04-21”),86.876,86.88],[new Date(“2014-04-22”),87.064,87.06],[new Date(“2014-04-23”),86.926,86.93],[new Date(“2014-04-24”),86.914,86.91],[new Date(“2014-04-25”),86.850,86.85],[new Date(“2014-04-26”),86.834,86.83],[new Date(“2014-04-27”),86.815,86.81],[new Date(“2014-04-28”),86.812,86.81],[new Date(“2014-04-29”),86.892,86.89],[new Date(“2014-04-30″),86.967,86.97],]);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_4’));
chart.draw(data, options);
}

March, 2014

01      86.3796
02      86.4272
↘0.048, 0.06%
03      86.4243
↗0.003, 0.00%
04      86.4097
↗0.015, 0.02%
05      86.5290
↘0.119, 0.14%
06      86.6056
↘0.077, 0.09%
07      86.5838
↗0.022, 0.03%
08      86.5802
↗0.004, 0.00%
09      86.5776
↗0.003, 0.00%
10      86.5428
↗0.035, 0.04%
11      86.3453
↗0.198, 0.23%
12      86.4561
↘0.111, 0.13%
13      86.4945
↘0.038, 0.04%
14      86.5002
↘0.006, 0.01%
15      86.5139
↘0.014, 0.02%
16      86.5313
↘0.017, 0.02%
17      86.5021
↗0.029, 0.03%
18      86.5869
↘0.085, 0.10%
19      86.4782
↗0.109, 0.13%
20      86.4180
↗0.060, 0.07%
21      86.5401
↘0.122, 0.14%
22      86.5509
↘0.011, 0.01%
23      86.5649
↘0.014, 0.02%
24      86.5645
↗0.000, 0.00%
25      86.6837
↘0.119, 0.14%
26      86.7794
↘0.096, 0.11%
27      86.5612
↗0.218, 0.25%
28      86.6242
↘0.063, 0.07%
29      86.6061
↗0.018, 0.02%
30      86.5965
↗0.010, 0.01%
31      86.4036
↗0.193, 0.22%
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(“2014-03-01”),86.380,86.38],[new Date(“2014-03-02”),86.427,86.43],[new Date(“2014-03-03”),86.424,86.42],[new Date(“2014-03-04”),86.410,86.41],[new Date(“2014-03-05”),86.529,86.53],[new Date(“2014-03-06”),86.606,86.61],[new Date(“2014-03-07”),86.584,86.58],[new Date(“2014-03-08”),86.580,86.58],[new Date(“2014-03-09”),86.578,86.58],[new Date(“2014-03-10”),86.543,86.54],[new Date(“2014-03-11”),86.345,86.35],[new Date(“2014-03-12”),86.456,86.46],[new Date(“2014-03-13”),86.495,86.49],[new Date(“2014-03-14”),86.500,86.50],[new Date(“2014-03-15”),86.514,86.51],[new Date(“2014-03-16”),86.531,86.53],[new Date(“2014-03-17”),86.502,86.50],[new Date(“2014-03-18”),86.587,86.59],[new Date(“2014-03-19”),86.478,86.48],[new Date(“2014-03-20”),86.418,86.42],[new Date(“2014-03-21”),86.540,86.54],[new Date(“2014-03-22”),86.551,86.55],[new Date(“2014-03-23”),86.565,86.56],[new Date(“2014-03-24”),86.565,86.56],[new Date(“2014-03-25”),86.684,86.68],[new Date(“2014-03-26”),86.779,86.78],[new Date(“2014-03-27”),86.561,86.56],[new Date(“2014-03-28”),86.624,86.62],[new Date(“2014-03-29”),86.606,86.61],[new Date(“2014-03-30”),86.597,86.60],[new Date(“2014-03-31″),86.404,86.40],]);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_3’));
chart.draw(data, options);
}

February, 2014

01      86.4623
02      86.5827
↘0.120, 0.14%
03      86.6209
↘0.038, 0.04%
04      86.3942
↗0.227, 0.26%
05      86.1993
↗0.195, 0.23%
06      86.0351
↗0.164, 0.19%
07      86.0079
↗0.027, 0.03%
08      86.0133
↘0.005, 0.01%
09      86.0387
↘0.025, 0.03%
10      86.1368
↘0.098, 0.11%
11      86.1662
↘0.029, 0.03%
12      86.1277
↗0.039, 0.04%
13      86.3678
↘0.240, 0.28%
14      86.3815
↘0.014, 0.02%
15      86.3354
↗0.046, 0.05%
16      86.3812
↘0.046, 0.05%
17      86.3342
↗0.047, 0.05%
18      86.2925
↗0.042, 0.05%
19      86.1366
↗0.156, 0.18%
20      86.1059
↗0.031, 0.04%
21      86.1964
↘0.090, 0.11%
22      86.1916
↗0.005, 0.01%
23      86.2090
↘0.017, 0.02%
24      86.3957
↘0.187, 0.22%
25      86.4523
↘0.057, 0.07%
26      86.4829
↘0.031, 0.04%
27      86.4401
↗0.043, 0.05%
28      86.3847
↗0.055, 0.06%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-02-01”),86.462,86.46],[new Date(“2014-02-02”),86.583,86.58],[new Date(“2014-02-03”),86.621,86.62],[new Date(“2014-02-04”),86.394,86.39],[new Date(“2014-02-05”),86.199,86.20],[new Date(“2014-02-06”),86.035,86.04],[new Date(“2014-02-07”),86.008,86.01],[new Date(“2014-02-08”),86.013,86.01],[new Date(“2014-02-09”),86.039,86.04],[new Date(“2014-02-10”),86.137,86.14],[new Date(“2014-02-11”),86.166,86.17],[new Date(“2014-02-12”),86.128,86.13],[new Date(“2014-02-13”),86.368,86.37],[new Date(“2014-02-14”),86.382,86.38],[new Date(“2014-02-15”),86.335,86.34],[new Date(“2014-02-16”),86.381,86.38],[new Date(“2014-02-17”),86.334,86.33],[new Date(“2014-02-18”),86.292,86.29],[new Date(“2014-02-19”),86.137,86.14],[new Date(“2014-02-20”),86.106,86.11],[new Date(“2014-02-21”),86.196,86.20],[new Date(“2014-02-22”),86.192,86.19],[new Date(“2014-02-23”),86.209,86.21],[new Date(“2014-02-24”),86.396,86.40],[new Date(“2014-02-25”),86.452,86.45],[new Date(“2014-02-26”),86.483,86.48],[new Date(“2014-02-27”),86.440,86.44],[new Date(“2014-02-28″),86.385,86.38],]);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, 2014

01      86.3553
02      86.7837
↘0.428, 0.50%
03      86.8434
↘0.060, 0.07%
04      86.8894
↘0.046, 0.05%
05      86.8811
↗0.008, 0.01%
06      86.8964
↘0.015, 0.02%
07      87.0484
↘0.152, 0.17%
08      86.7480
↗0.300, 0.35%
09      86.7006
↗0.047, 0.05%
10      86.5972
↗0.103, 0.12%
11      86.6080
↘0.011, 0.01%
12      86.4899
↗0.118, 0.14%
13      86.2782
↗0.212, 0.24%
14      86.2632
↗0.015, 0.02%
15      85.9234
↗0.340, 0.39%
16      85.8636
↗0.060, 0.07%
17      85.8335
↗0.030, 0.04%
18      85.8666
↘0.033, 0.04%
19      85.9893
↘0.123, 0.14%
20      85.9950
↘0.006, 0.01%
21      85.9322
↗0.063, 0.07%
22      85.7947
↗0.137, 0.16%
23      85.4953
↗0.299, 0.35%
24      85.8767
↘0.381, 0.45%
25      85.8862
↘0.010, 0.01%
26      85.9391
↘0.053, 0.06%
27      85.8538
↗0.085, 0.10%
28      85.9543
↘0.101, 0.12%
29      86.0483
↘0.094, 0.11%
30      86.1972
↘0.149, 0.17%
31      86.4268
↘0.230, 0.27%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-01-01”),86.355,86.36],[new Date(“2014-01-02”),86.784,86.78],[new Date(“2014-01-03”),86.843,86.84],[new Date(“2014-01-04”),86.889,86.89],[new Date(“2014-01-05”),86.881,86.88],[new Date(“2014-01-06”),86.896,86.90],[new Date(“2014-01-07”),87.048,87.05],[new Date(“2014-01-08”),86.748,86.75],[new Date(“2014-01-09”),86.701,86.70],[new Date(“2014-01-10”),86.597,86.60],[new Date(“2014-01-11”),86.608,86.61],[new Date(“2014-01-12”),86.490,86.49],[new Date(“2014-01-13”),86.278,86.28],[new Date(“2014-01-14”),86.263,86.26],[new Date(“2014-01-15”),85.923,85.92],[new Date(“2014-01-16”),85.864,85.86],[new Date(“2014-01-17”),85.833,85.83],[new Date(“2014-01-18”),85.867,85.87],[new Date(“2014-01-19”),85.989,85.99],[new Date(“2014-01-20”),85.995,85.99],[new Date(“2014-01-21”),85.932,85.93],[new Date(“2014-01-22”),85.795,85.79],[new Date(“2014-01-23”),85.495,85.50],[new Date(“2014-01-24”),85.877,85.88],[new Date(“2014-01-25”),85.886,85.89],[new Date(“2014-01-26”),85.939,85.94],[new Date(“2014-01-27”),85.854,85.85],[new Date(“2014-01-28”),85.954,85.95],[new Date(“2014-01-29”),86.048,86.05],[new Date(“2014-01-30”),86.197,86.20],[new Date(“2014-01-31″),86.427,86.43],]);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_1’));
chart.draw(data, options);
}