Kenyan Shilling KES 2013 Conversion Rates

  • Opening Value is 86.036502 KES per Dollar
  • Closing Value is 86.417060 KES per Dollar
  • Change in Value during 2013 is 0.3806 which is 0.44%
  • Best Performance is on 2013-05-09 with 83.687449 KES per Dollar
  • Lowest Performance is on 2013-08-13 with 87.677761 KES per Dollar
  • Average Value is 86.1102 KES per Dollar
  • Swing Between the higest and the lowest is 3.9903 per Dollar, that is 4.64% compared to the opening value.

USD to KES Conversion Rates – 12 months

Date 1 USD =
2013-12-31 86.4171 KES
2013-11-30 86.6281 KES
2013-10-31 85.3616 KES
2013-09-30 86.4971 KES
2013-08-31 87.5675 KES
2013-07-31 87.4321 KES
2013-06-30 85.7997 KES
2013-05-31 85.0762 KES
2013-04-30 83.8531 KES
2013-03-31 85.4173 KES
2013-02-28 86.2918 KES
2013-01-31 87.6234 KES
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
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December, 2013

01      86.5795
02      86.8252
↘0.246, 0.28%
03      86.7271
↗0.098, 0.11%
04      86.6560
↗0.071, 0.08%
05      86.5807
↗0.075, 0.09%
06      86.5408
↗0.040, 0.05%
07      86.5289
↗0.012, 0.01%
08      86.5136
↗0.015, 0.02%
09      86.6752
↘0.162, 0.19%
10      86.8602
↘0.185, 0.21%
11      86.5779
↗0.282, 0.33%
12      86.6571
↘0.079, 0.09%
13      86.5884
↗0.069, 0.08%
14      86.5969
↘0.008, 0.01%
15      86.5835
↗0.013, 0.02%
16      86.3877
↗0.196, 0.23%
17      86.1375
↗0.250, 0.29%
18      86.1748
↘0.037, 0.04%
19      85.8739
↗0.301, 0.35%
20      85.9216
↘0.048, 0.06%
21      85.8704
↗0.051, 0.06%
22      85.9135
↘0.043, 0.05%
23      85.8613
↗0.052, 0.06%
24      85.7694
↗0.092, 0.11%
25      85.8103
↘0.041, 0.05%
26      85.7588
↗0.052, 0.06%
27      85.9739
↘0.215, 0.25%
28      86.0066
↘0.033, 0.04%
29      86.0859
↘0.079, 0.09%
30      86.3609
↘0.275, 0.32%
31      86.4171
↘0.056, 0.07%
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November, 2013

01      85.4050
02      85.4270
↘0.022, 0.03%
03      85.4278
↘0.001, 0.00%
04      85.5330
↘0.105, 0.12%
05      85.4280
↗0.105, 0.12%
06      85.4010
↗0.027, 0.03%
07      85.5703
↘0.169, 0.20%
08      85.5538
↗0.016, 0.02%
09      85.5718
↘0.018, 0.02%
10      85.6668
↘0.095, 0.11%
11      85.7769
↘0.110, 0.13%
12      85.9206
↘0.144, 0.17%
13      86.2898
↘0.369, 0.43%
14      86.3053
↘0.015, 0.02%
15      86.3324
↘0.027, 0.03%
16      86.3889
↘0.057, 0.07%
17      86.3472
↗0.042, 0.05%
18      86.3892
↘0.042, 0.05%
19      86.3829
↗0.006, 0.01%
20      86.1873
↗0.196, 0.23%
21      86.2456
↘0.058, 0.07%
22      86.6434
↘0.398, 0.46%
23      86.6957
↘0.052, 0.06%
24      86.7660
↘0.070, 0.08%
25      86.7270
↗0.039, 0.04%
26      86.8822
↘0.155, 0.18%
27      86.9881
↘0.106, 0.12%
28      86.9981
↘0.010, 0.01%
29      86.6877
↗0.310, 0.36%
30      86.6281
↗0.060, 0.07%
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October, 2013

01      86.5394
02      86.7953
↘0.256, 0.30%
03      86.6364
↗0.159, 0.18%
04      86.1152
↗0.521, 0.60%
05      85.9416
↗0.174, 0.20%
06      85.9017
↗0.040, 0.05%
07      85.4045
↗0.497, 0.58%
08      85.0176
↗0.387, 0.45%
09      85.1570
↘0.139, 0.16%
10      85.3258
↘0.169, 0.20%
11      84.9872
↗0.339, 0.40%
12      84.9387
↗0.048, 0.06%
13      84.9964
↘0.058, 0.07%
14      85.0196
↘0.023, 0.03%
15      84.9920
↗0.028, 0.03%
16      84.9920
↗0.000, 0.00%
17      84.8934
↗0.099, 0.12%
18      84.8555
↗0.038, 0.04%
19      84.8609
↘0.005, 0.01%
20      84.8763
↘0.015, 0.02%
21      84.8245
↗0.052, 0.06%
22      84.7497
↗0.075, 0.09%
23      84.8544
↘0.105, 0.12%
24      84.7577
↗0.097, 0.11%
25      84.8417
↘0.084, 0.10%
26      84.8655
↘0.024, 0.03%
27      84.8538
↗0.012, 0.01%
28      85.1769
↘0.323, 0.38%
29      85.2176
↘0.041, 0.05%
30      85.1045
↗0.113, 0.13%
31      85.3616
↘0.257, 0.30%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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September, 2013

01      87.5666
02      87.5495
↗0.017, 0.02%
03      87.5287
↗0.021, 0.02%
04      87.5047
↗0.024, 0.03%
05      87.4605
↗0.044, 0.05%
06      87.4376
↗0.023, 0.03%
07      87.4618
↘0.024, 0.03%
08      87.2676
↗0.194, 0.22%
09      87.3577
↘0.090, 0.10%
10      87.5411
↘0.183, 0.21%
11      87.5647
↘0.024, 0.03%
12      87.5885
↘0.024, 0.03%
13      87.6113
↘0.023, 0.03%
14      87.6255
↘0.014, 0.02%
15      87.5358
↗0.090, 0.10%
16      87.5714
↘0.036, 0.04%
17      87.5140
↗0.057, 0.07%
18      87.5285
↘0.015, 0.02%
19      87.3974
↗0.131, 0.15%
20      87.3978
↘0.000, 0.00%
21      87.4113
↘0.014, 0.02%
22      87.4229
↘0.012, 0.01%
23      87.5337
↘0.111, 0.13%
24      87.4800
↗0.054, 0.06%
25      87.3133
↗0.167, 0.19%
26      87.2141
↗0.099, 0.11%
27      86.8203
↗0.394, 0.45%
28      86.7706
↗0.050, 0.06%
29      86.7938
↘0.023, 0.03%
30      86.4971
↗0.297, 0.34%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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August, 2013

01      87.3294
02      87.3640
↘0.035, 0.04%
03      87.3539
↗0.010, 0.01%
04      87.2298
↗0.124, 0.14%
05      87.3325
↘0.103, 0.12%
06      87.4089
↘0.076, 0.09%
07      87.4157
↘0.007, 0.01%
08      87.3856
↗0.030, 0.03%
09      87.3764
↗0.009, 0.01%
10      87.3569
↗0.019, 0.02%
11      87.3214
↗0.036, 0.04%
12      87.5835
↘0.262, 0.30%
13      87.6778
↘0.094, 0.11%
14      87.6547
↗0.023, 0.03%
15      87.4925
↗0.162, 0.19%
16      87.4351
↗0.057, 0.07%
17      87.3902
↗0.045, 0.05%
18      87.3986
↘0.008, 0.01%
19      87.4330
↘0.034, 0.04%
20      87.4490
↘0.016, 0.02%
21      87.5178
↘0.069, 0.08%
22      87.5533
↘0.035, 0.04%
23      87.5642
↘0.011, 0.01%
24      87.5839
↘0.020, 0.02%
25      87.5570
↗0.027, 0.03%
26      87.5165
↗0.040, 0.05%
27      87.4902
↗0.026, 0.03%
28      87.6098
↘0.120, 0.14%
29      87.6442
↘0.034, 0.04%
30      87.6241
↗0.020, 0.02%
31      87.5675
↗0.057, 0.06%
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July, 2013

01      85.9483
02      85.9406
↗0.008, 0.01%
03      86.1896
↘0.249, 0.29%
04      86.2387
↘0.049, 0.06%
05      86.4468
↘0.208, 0.24%
06      86.4611
↘0.014, 0.02%
07      86.4763
↘0.015, 0.02%
08      86.7669
↘0.291, 0.34%
09      86.7999
↘0.033, 0.04%
10      86.8089
↘0.009, 0.01%
11      87.0918
↘0.283, 0.33%
12      87.1244
↘0.033, 0.04%
13      87.1588
↘0.034, 0.04%
14      87.1680
↘0.009, 0.01%
15      87.1182
↗0.050, 0.06%
16      86.9122
↗0.206, 0.24%
17      86.8725
↗0.040, 0.05%
18      86.9388
↘0.066, 0.08%
19      86.8517
↗0.087, 0.10%
20      86.8088
↗0.043, 0.05%
21      86.7654
↗0.043, 0.05%
22      87.0920
↘0.327, 0.38%
23      87.2390
↘0.147, 0.17%
24      87.2457
↘0.007, 0.01%
25      87.4213
↘0.176, 0.20%
26      87.0675
↗0.354, 0.40%
27      87.0570
↗0.011, 0.01%
28      87.0131
↗0.044, 0.05%
29      87.3141
↘0.301, 0.35%
30      87.2664
↗0.048, 0.05%
31      87.4321
↘0.166, 0.19%
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(“2013-07-01”),85.948,85.95],[new Date(“2013-07-02”),85.941,85.94],[new Date(“2013-07-03”),86.190,86.19],[new Date(“2013-07-04”),86.239,86.24],[new Date(“2013-07-05”),86.447,86.45],[new Date(“2013-07-06”),86.461,86.46],[new Date(“2013-07-07”),86.476,86.48],[new Date(“2013-07-08”),86.767,86.77],[new Date(“2013-07-09”),86.800,86.80],[new Date(“2013-07-10”),86.809,86.81],[new Date(“2013-07-11”),87.092,87.09],[new Date(“2013-07-12”),87.124,87.12],[new Date(“2013-07-13”),87.159,87.16],[new Date(“2013-07-14”),87.168,87.17],[new Date(“2013-07-15”),87.118,87.12],[new Date(“2013-07-16”),86.912,86.91],[new Date(“2013-07-17”),86.872,86.87],[new Date(“2013-07-18”),86.939,86.94],[new Date(“2013-07-19”),86.852,86.85],[new Date(“2013-07-20”),86.809,86.81],[new Date(“2013-07-21”),86.765,86.77],[new Date(“2013-07-22”),87.092,87.09],[new Date(“2013-07-23”),87.239,87.24],[new Date(“2013-07-24”),87.246,87.25],[new Date(“2013-07-25”),87.421,87.42],[new Date(“2013-07-26”),87.068,87.07],[new Date(“2013-07-27”),87.057,87.06],[new Date(“2013-07-28”),87.013,87.01],[new Date(“2013-07-29”),87.314,87.31],[new Date(“2013-07-30”),87.266,87.27],[new Date(“2013-07-31″),87.432,87.43],]);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_7’));
chart.draw(data, options);
}

June, 2013

01      85.1450
02      85.1650
↘0.020, 0.02%
03      85.1757
↘0.011, 0.01%
04      85.1786
↘0.003, 0.00%
05      85.1064
↗0.072, 0.08%
06      85.0136
↗0.093, 0.11%
07      84.8561
↗0.157, 0.19%
08      84.8236
↗0.032, 0.04%
09      84.9818
↘0.158, 0.19%
10      85.0435
↘0.062, 0.07%
11      85.0517
↘0.008, 0.01%
12      85.3234
↘0.272, 0.32%
13      85.4597
↘0.136, 0.16%
14      85.5148
↘0.055, 0.06%
15      85.5521
↘0.037, 0.04%
16      85.5436
↗0.009, 0.01%
17      85.6349
↘0.091, 0.11%
18      85.6307
↗0.004, 0.01%
19      85.6789
↘0.048, 0.06%
20      85.7016
↘0.023, 0.03%
21      85.8449
↘0.143, 0.17%
22      85.8749
↘0.030, 0.03%
23      86.0526
↘0.178, 0.21%
24      86.1912
↘0.139, 0.16%
25      86.0136
↗0.178, 0.21%
26      86.1168
↘0.103, 0.12%
27      86.0063
↗0.110, 0.13%
28      85.8609
↗0.145, 0.17%
29      85.7958
↗0.065, 0.08%
30      85.7997
↘0.004, 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(“2013-06-01”),85.145,85.15],[new Date(“2013-06-02”),85.165,85.16],[new Date(“2013-06-03”),85.176,85.18],[new Date(“2013-06-04”),85.179,85.18],[new Date(“2013-06-05”),85.106,85.11],[new Date(“2013-06-06”),85.014,85.01],[new Date(“2013-06-07”),84.856,84.86],[new Date(“2013-06-08”),84.824,84.82],[new Date(“2013-06-09”),84.982,84.98],[new Date(“2013-06-10”),85.044,85.04],[new Date(“2013-06-11”),85.052,85.05],[new Date(“2013-06-12”),85.323,85.32],[new Date(“2013-06-13”),85.460,85.46],[new Date(“2013-06-14”),85.515,85.51],[new Date(“2013-06-15”),85.552,85.55],[new Date(“2013-06-16”),85.544,85.54],[new Date(“2013-06-17”),85.635,85.63],[new Date(“2013-06-18”),85.631,85.63],[new Date(“2013-06-19”),85.679,85.68],[new Date(“2013-06-20”),85.702,85.70],[new Date(“2013-06-21”),85.845,85.84],[new Date(“2013-06-22”),85.875,85.87],[new Date(“2013-06-23”),86.053,86.05],[new Date(“2013-06-24”),86.191,86.19],[new Date(“2013-06-25”),86.014,86.01],[new Date(“2013-06-26”),86.117,86.12],[new Date(“2013-06-27”),86.006,86.01],[new Date(“2013-06-28”),85.861,85.86],[new Date(“2013-06-29”),85.796,85.80],[new Date(“2013-06-30″),85.800,85.80],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2013

01      83.7485
02      83.8219
↘0.073, 0.09%
03      83.7875
↗0.034, 0.04%
04      83.7381
↗0.049, 0.06%
05      83.7229
↗0.015, 0.02%
06      83.8593
↘0.136, 0.16%
07      83.8577
↗0.002, 0.00%
08      83.8133
↗0.044, 0.05%
09      83.6874
↗0.126, 0.15%
10      83.7392
↘0.052, 0.06%
11      83.7931
↘0.054, 0.06%
12      83.8027
↘0.010, 0.01%
13      83.8007
↗0.002, 0.00%
14      83.7505
↗0.050, 0.06%
15      83.8622
↘0.112, 0.13%
16      83.7197
↗0.143, 0.17%
17      83.8214
↘0.102, 0.12%
18      83.8292
↘0.008, 0.01%
19      83.8392
↘0.010, 0.01%
20      83.8221
↗0.017, 0.02%
21      84.1221
↘0.300, 0.36%
22      84.3999
↘0.278, 0.33%
23      84.3581
↗0.042, 0.05%
24      84.3528
↗0.005, 0.01%
25      84.3550
↘0.002, 0.00%
26      84.3638
↘0.009, 0.01%
27      84.8639
↘0.500, 0.59%
28      85.2163
↘0.352, 0.42%
29      85.0399
↗0.176, 0.21%
30      84.9093
↗0.131, 0.15%
31      85.0762
↘0.167, 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(“2013-05-01”),83.748,83.75],[new Date(“2013-05-02”),83.822,83.82],[new Date(“2013-05-03”),83.788,83.79],[new Date(“2013-05-04”),83.738,83.74],[new Date(“2013-05-05”),83.723,83.72],[new Date(“2013-05-06”),83.859,83.86],[new Date(“2013-05-07”),83.858,83.86],[new Date(“2013-05-08”),83.813,83.81],[new Date(“2013-05-09”),83.687,83.69],[new Date(“2013-05-10”),83.739,83.74],[new Date(“2013-05-11”),83.793,83.79],[new Date(“2013-05-12”),83.803,83.80],[new Date(“2013-05-13”),83.801,83.80],[new Date(“2013-05-14”),83.751,83.75],[new Date(“2013-05-15”),83.862,83.86],[new Date(“2013-05-16”),83.720,83.72],[new Date(“2013-05-17”),83.821,83.82],[new Date(“2013-05-18”),83.829,83.83],[new Date(“2013-05-19”),83.839,83.84],[new Date(“2013-05-20”),83.822,83.82],[new Date(“2013-05-21”),84.122,84.12],[new Date(“2013-05-22”),84.400,84.40],[new Date(“2013-05-23”),84.358,84.36],[new Date(“2013-05-24”),84.353,84.35],[new Date(“2013-05-25”),84.355,84.35],[new Date(“2013-05-26”),84.364,84.36],[new Date(“2013-05-27”),84.864,84.86],[new Date(“2013-05-28”),85.216,85.22],[new Date(“2013-05-29”),85.040,85.04],[new Date(“2013-05-30”),84.909,84.91],[new Date(“2013-05-31″),85.076,85.08],]);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, 2013

01      85.4041
02      85.0402
↗0.364, 0.43%
03      84.9474
↗0.093, 0.11%
04      84.9067
↗0.041, 0.05%
05      84.8202
↗0.086, 0.10%
06      84.8693
↘0.049, 0.06%
07      84.8626
↗0.007, 0.01%
08      84.9150
↘0.052, 0.06%
09      84.6566
↗0.258, 0.30%
10      84.6276
↗0.029, 0.03%
11      84.2873
↗0.340, 0.40%
12      84.1589
↗0.128, 0.15%
13      84.1145
↗0.044, 0.05%
14      84.0514
↗0.063, 0.08%
15      83.9527
↗0.099, 0.12%
16      83.9802
↘0.028, 0.03%
17      83.9688
↗0.011, 0.01%
18      83.9250
↗0.044, 0.05%
19      83.8520
↗0.073, 0.09%
20      83.8572
↘0.005, 0.01%
21      83.8569
↗0.000, 0.00%
22      83.7844
↗0.072, 0.09%
23      83.8177
↘0.033, 0.04%
24      83.7978
↗0.020, 0.02%
25      83.9069
↘0.109, 0.13%
26      83.9016
↗0.005, 0.01%
27      83.9360
↘0.034, 0.04%
28      83.8786
↗0.057, 0.07%
29      83.7475
↗0.131, 0.16%
30      83.8531
↘0.106, 0.13%
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(“2013-04-01”),85.404,85.40],[new Date(“2013-04-02”),85.040,85.04],[new Date(“2013-04-03”),84.947,84.95],[new Date(“2013-04-04”),84.907,84.91],[new Date(“2013-04-05”),84.820,84.82],[new Date(“2013-04-06”),84.869,84.87],[new Date(“2013-04-07”),84.863,84.86],[new Date(“2013-04-08”),84.915,84.92],[new Date(“2013-04-09”),84.657,84.66],[new Date(“2013-04-10”),84.628,84.63],[new Date(“2013-04-11”),84.287,84.29],[new Date(“2013-04-12”),84.159,84.16],[new Date(“2013-04-13”),84.114,84.11],[new Date(“2013-04-14”),84.051,84.05],[new Date(“2013-04-15”),83.953,83.95],[new Date(“2013-04-16”),83.980,83.98],[new Date(“2013-04-17”),83.969,83.97],[new Date(“2013-04-18”),83.925,83.93],[new Date(“2013-04-19”),83.852,83.85],[new Date(“2013-04-20”),83.857,83.86],[new Date(“2013-04-21”),83.857,83.86],[new Date(“2013-04-22”),83.784,83.78],[new Date(“2013-04-23”),83.818,83.82],[new Date(“2013-04-24”),83.798,83.80],[new Date(“2013-04-25”),83.907,83.91],[new Date(“2013-04-26”),83.902,83.90],[new Date(“2013-04-27”),83.936,83.94],[new Date(“2013-04-28”),83.879,83.88],[new Date(“2013-04-29”),83.748,83.75],[new Date(“2013-04-30″),83.853,83.85],]);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, 2013

01      85.9499
02      85.9267
↗0.023, 0.03%
03      85.9070
↗0.020, 0.02%
04      85.9198
↘0.013, 0.01%
05      85.6200
↗0.300, 0.35%
06      86.6188
↘0.999, 1.17%
07      86.3055
↗0.313, 0.36%
08      86.2954
↗0.010, 0.01%
09      86.1345
↗0.161, 0.19%
10      86.2727
↘0.138, 0.16%
11      85.6332
↗0.640, 0.74%
12      85.3614
↗0.272, 0.32%
13      85.3061
↗0.055, 0.06%
14      85.4839
↘0.178, 0.21%
15      85.6085
↘0.125, 0.15%
16      85.6341
↘0.026, 0.03%
17      85.8269
↘0.193, 0.23%
18      85.7188
↗0.108, 0.13%
19      85.6660
↗0.053, 0.06%
20      85.6594
↗0.007, 0.01%
21      85.7622
↘0.103, 0.12%
22      85.7442
↗0.018, 0.02%
23      85.7640
↘0.020, 0.02%
24      85.7559
↗0.008, 0.01%
25      85.7899
↘0.034, 0.04%
26      85.9002
↘0.110, 0.13%
27      85.7742
↗0.126, 0.15%
28      85.5256
↗0.249, 0.29%
29      85.4285
↗0.097, 0.11%
30      85.3850
↗0.043, 0.05%
31      85.4173
↘0.032, 0.04%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-03-01”),85.950,85.95],[new Date(“2013-03-02”),85.927,85.93],[new Date(“2013-03-03”),85.907,85.91],[new Date(“2013-03-04”),85.920,85.92],[new Date(“2013-03-05”),85.620,85.62],[new Date(“2013-03-06”),86.619,86.62],[new Date(“2013-03-07”),86.305,86.31],[new Date(“2013-03-08”),86.295,86.30],[new Date(“2013-03-09”),86.135,86.13],[new Date(“2013-03-10”),86.273,86.27],[new Date(“2013-03-11”),85.633,85.63],[new Date(“2013-03-12”),85.361,85.36],[new Date(“2013-03-13”),85.306,85.31],[new Date(“2013-03-14”),85.484,85.48],[new Date(“2013-03-15”),85.608,85.61],[new Date(“2013-03-16”),85.634,85.63],[new Date(“2013-03-17”),85.827,85.83],[new Date(“2013-03-18”),85.719,85.72],[new Date(“2013-03-19”),85.666,85.67],[new Date(“2013-03-20”),85.659,85.66],[new Date(“2013-03-21”),85.762,85.76],[new Date(“2013-03-22”),85.744,85.74],[new Date(“2013-03-23”),85.764,85.76],[new Date(“2013-03-24”),85.756,85.76],[new Date(“2013-03-25”),85.790,85.79],[new Date(“2013-03-26”),85.900,85.90],[new Date(“2013-03-27”),85.774,85.77],[new Date(“2013-03-28”),85.526,85.53],[new Date(“2013-03-29”),85.429,85.43],[new Date(“2013-03-30”),85.385,85.39],[new Date(“2013-03-31″),85.417,85.42],]);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, 2013

01      87.4772
02      87.5137
↘0.037, 0.04%
03      87.4932
↗0.021, 0.02%
04      87.3897
↗0.104, 0.12%
05      87.6150
↘0.225, 0.26%
06      87.6220
↘0.007, 0.01%
07      87.4769
↗0.145, 0.17%
08      87.5971
↘0.120, 0.14%
09      87.6194
↘0.022, 0.03%
10      87.6494
↘0.030, 0.03%
11      87.5290
↗0.120, 0.14%
12      87.4272
↗0.102, 0.12%
13      87.4494
↘0.022, 0.03%
14      87.3434
↗0.106, 0.12%
15      87.4479
↘0.105, 0.12%
16      87.4437
↗0.004, 0.00%
17      87.4410
↗0.003, 0.00%
18      87.4721
↘0.031, 0.04%
19      87.5337
↘0.062, 0.07%
20      87.6668
↘0.133, 0.15%
21      87.6280
↗0.039, 0.04%
22      87.6012
↗0.027, 0.03%
23      87.5914
↗0.010, 0.01%
24      87.5452
↗0.046, 0.05%
25      87.3350
↗0.210, 0.24%
26      87.2649
↗0.070, 0.08%
27      86.6652
↗0.600, 0.69%
28      86.2918
↗0.373, 0.43%
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(“2013-02-01”),87.477,87.48],[new Date(“2013-02-02”),87.514,87.51],[new Date(“2013-02-03”),87.493,87.49],[new Date(“2013-02-04”),87.390,87.39],[new Date(“2013-02-05”),87.615,87.62],[new Date(“2013-02-06”),87.622,87.62],[new Date(“2013-02-07”),87.477,87.48],[new Date(“2013-02-08”),87.597,87.60],[new Date(“2013-02-09”),87.619,87.62],[new Date(“2013-02-10”),87.649,87.65],[new Date(“2013-02-11”),87.529,87.53],[new Date(“2013-02-12”),87.427,87.43],[new Date(“2013-02-13”),87.449,87.45],[new Date(“2013-02-14”),87.343,87.34],[new Date(“2013-02-15”),87.448,87.45],[new Date(“2013-02-16”),87.444,87.44],[new Date(“2013-02-17”),87.441,87.44],[new Date(“2013-02-18”),87.472,87.47],[new Date(“2013-02-19”),87.534,87.53],[new Date(“2013-02-20”),87.667,87.67],[new Date(“2013-02-21”),87.628,87.63],[new Date(“2013-02-22”),87.601,87.60],[new Date(“2013-02-23”),87.591,87.59],[new Date(“2013-02-24”),87.545,87.55],[new Date(“2013-02-25”),87.335,87.34],[new Date(“2013-02-26”),87.265,87.26],[new Date(“2013-02-27”),86.665,86.67],[new Date(“2013-02-28″),86.292,86.29],]);var options = {
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title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
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January, 2013

01      86.0365
02      86.2170
↘0.181, 0.21%
03      86.2057
↗0.011, 0.01%
04      86.3829
↘0.177, 0.21%
05      86.3974
↘0.014, 0.02%
06      86.3828
↗0.015, 0.02%
07      86.5158
↘0.133, 0.15%
08      86.5109
↗0.005, 0.01%
09      86.5975
↘0.087, 0.10%
10      86.6705
↘0.073, 0.08%
11      86.7397
↘0.069, 0.08%
12      86.7463
↘0.007, 0.01%
13      86.6644
↗0.082, 0.09%
14      86.7164
↘0.052, 0.06%
15      86.8231
↘0.107, 0.12%
16      86.7627
↗0.060, 0.07%
17      86.8238
↘0.061, 0.07%
18      86.9626
↘0.139, 0.16%
19      86.9906
↘0.028, 0.03%
20      87.0342
↘0.044, 0.05%
21      86.9550
↗0.079, 0.09%
22      87.2543
↘0.299, 0.34%
23      87.3647
↘0.110, 0.13%
24      87.3668
↘0.002, 0.00%
25      87.5304
↘0.164, 0.19%
26      87.5609
↘0.030, 0.03%
27      87.5284
↗0.033, 0.04%
28      87.5613
↘0.033, 0.04%
29      87.5866
↘0.025, 0.03%
30      87.6223
↘0.036, 0.04%
31      87.6234
↘0.001, 0.00%
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
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