Kenyan Shilling KES 2006 Conversion Rates

  • Opening Value is 72.661858 KES per Dollar
  • Closing Value is 69.407064 KES per Dollar
  • Change in Value during 2006 is -3.2548 which is -4.48%
  • Best Performance is on 2006-12-22,2006-12-23,2006-12-24,2006-12-25,2006-12-26 with 69.243452 KES per Dollar
  • Lowest Performance is on 2006-06-22 with 74.343745 KES per Dollar
  • Average Value is 71.9576 KES per Dollar
  • Swing Between the higest and the lowest is 5.1003 per Dollar, that is 7.02% compared to the opening value.

USD to KES Conversion Rates – 12 months

Date 1 USD =
2006-12-31 69.4071 KES
2006-11-30 69.9721 KES
2006-10-31 71.8098 KES
2006-09-30 72.5734 KES
2006-08-31 72.5092 KES
2006-07-31 73.4091 KES
2006-06-30 73.6600 KES
2006-05-31 71.9051 KES
2006-04-30 70.9473 KES
2006-03-31 71.4582 KES
2006-02-28 72.7034 KES
2006-01-31 71.6505 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(“2006-12-31”),69.407,69.41],[new Date(“2006-11-30”),69.972,69.97],[new Date(“2006-10-31”),71.810,71.81],[new Date(“2006-09-30”),72.573,72.57],[new Date(“2006-08-31”),72.509,72.51],[new Date(“2006-07-31”),73.409,73.41],[new Date(“2006-06-30”),73.660,73.66],[new Date(“2006-05-31”),71.905,71.91],[new Date(“2006-04-30”),70.947,70.95],[new Date(“2006-03-31”),71.458,71.46],[new Date(“2006-02-28”),72.703,72.70],[new Date(“2006-01-31”),71.650,71.65],]);var options = {
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title: ‘Date’
},
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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, 2006

01      70.0006
02      70.0006
→0.000, 0.00%
03      70.0006
→0.000, 0.00%
04      69.7557
↗0.245, 0.35%
05      69.8004
↘0.045, 0.06%
06      69.7435
↗0.057, 0.08%
07      69.7270
↗0.017, 0.02%
08      69.6833
↗0.044, 0.06%
09      69.6833
→0.000, 0.00%
10      69.6833
→0.000, 0.00%
11      69.6202
↗0.063, 0.09%
12      69.4335
↗0.187, 0.27%
13      69.7343
↘0.301, 0.43%
14      69.7348
↘0.001, 0.00%
15      69.6382
↗0.097, 0.14%
16      69.6382
→0.000, 0.00%
17      69.6382
→0.000, 0.00%
18      69.7041
↘0.066, 0.09%
19      69.6411
↗0.063, 0.09%
20      69.6634
↘0.022, 0.03%
21      69.3435
↗0.320, 0.46%
22      69.2435
↗0.100, 0.14%
23      69.2435
→0.000, 0.00%
24      69.2435
→0.000, 0.00%
25      69.2435
→0.000, 0.00%
26      69.2435
→0.000, 0.00%
27      69.2861
↘0.043, 0.06%
28      69.3297
↘0.044, 0.06%
29      69.4071
↘0.077, 0.11%
30      69.4071
→0.000, 0.00%
31      69.4071
→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(“2006-12-01”),70.001,70.00],[new Date(“2006-12-02”),70.001,70.00],[new Date(“2006-12-03”),70.001,70.00],[new Date(“2006-12-04”),69.756,69.76],[new Date(“2006-12-05”),69.800,69.80],[new Date(“2006-12-06”),69.744,69.74],[new Date(“2006-12-07”),69.727,69.73],[new Date(“2006-12-08”),69.683,69.68],[new Date(“2006-12-09”),69.683,69.68],[new Date(“2006-12-10”),69.683,69.68],[new Date(“2006-12-11”),69.620,69.62],[new Date(“2006-12-12”),69.433,69.43],[new Date(“2006-12-13”),69.734,69.73],[new Date(“2006-12-14”),69.735,69.73],[new Date(“2006-12-15”),69.638,69.64],[new Date(“2006-12-16”),69.638,69.64],[new Date(“2006-12-17”),69.638,69.64],[new Date(“2006-12-18”),69.704,69.70],[new Date(“2006-12-19”),69.641,69.64],[new Date(“2006-12-20”),69.663,69.66],[new Date(“2006-12-21”),69.343,69.34],[new Date(“2006-12-22”),69.243,69.24],[new Date(“2006-12-23”),69.243,69.24],[new Date(“2006-12-24”),69.243,69.24],[new Date(“2006-12-25”),69.243,69.24],[new Date(“2006-12-26”),69.243,69.24],[new Date(“2006-12-27”),69.286,69.29],[new Date(“2006-12-28”),69.330,69.33],[new Date(“2006-12-29”),69.407,69.41],[new Date(“2006-12-30”),69.407,69.41],[new Date(“2006-12-31″),69.407,69.41],]);var options = {
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title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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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, 2006

01      71.9065
02      71.8320
↗0.074, 0.10%
03      71.8240
↗0.008, 0.01%
04      71.8240
→0.000, 0.00%
05      71.8240
→0.000, 0.00%
06      71.7939
↗0.030, 0.04%
07      71.7339
↗0.060, 0.08%
08      71.4428
↗0.291, 0.41%
09      70.9401
↗0.503, 0.70%
10      70.8279
↗0.112, 0.16%
11      70.8279
→0.000, 0.00%
12      70.8279
→0.000, 0.00%
13      70.9231
↘0.095, 0.13%
14      70.9805
↘0.057, 0.08%
15      70.9933
↘0.013, 0.02%
16      71.0502
↘0.057, 0.08%
17      70.9602
↗0.090, 0.13%
18      70.9602
→0.000, 0.00%
19      70.9602
→0.000, 0.00%
20      71.0436
↘0.083, 0.12%
21      71.0746
↘0.031, 0.04%
22      70.9757
↗0.099, 0.14%
23      70.9401
↗0.036, 0.05%
24      71.1157
↘0.176, 0.25%
25      71.1157
→0.000, 0.00%
26      71.1157
→0.000, 0.00%
27      70.1300
↗0.986, 1.39%
28      70.1788
↘0.049, 0.07%
29      69.8851
↗0.294, 0.42%
30      69.9721
↘0.087, 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(“2006-11-01”),71.906,71.91],[new Date(“2006-11-02”),71.832,71.83],[new Date(“2006-11-03”),71.824,71.82],[new Date(“2006-11-04”),71.824,71.82],[new Date(“2006-11-05”),71.824,71.82],[new Date(“2006-11-06”),71.794,71.79],[new Date(“2006-11-07”),71.734,71.73],[new Date(“2006-11-08”),71.443,71.44],[new Date(“2006-11-09”),70.940,70.94],[new Date(“2006-11-10”),70.828,70.83],[new Date(“2006-11-11”),70.828,70.83],[new Date(“2006-11-12”),70.828,70.83],[new Date(“2006-11-13”),70.923,70.92],[new Date(“2006-11-14”),70.981,70.98],[new Date(“2006-11-15”),70.993,70.99],[new Date(“2006-11-16”),71.050,71.05],[new Date(“2006-11-17”),70.960,70.96],[new Date(“2006-11-18”),70.960,70.96],[new Date(“2006-11-19”),70.960,70.96],[new Date(“2006-11-20”),71.044,71.04],[new Date(“2006-11-21”),71.075,71.07],[new Date(“2006-11-22”),70.976,70.98],[new Date(“2006-11-23”),70.940,70.94],[new Date(“2006-11-24”),71.116,71.12],[new Date(“2006-11-25”),71.116,71.12],[new Date(“2006-11-26”),71.116,71.12],[new Date(“2006-11-27”),70.130,70.13],[new Date(“2006-11-28”),70.179,70.18],[new Date(“2006-11-29”),69.885,69.89],[new Date(“2006-11-30″),69.972,69.97],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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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, 2006

01      72.5734
02      72.4557
↗0.118, 0.16%
03      72.3836
↗0.072, 0.10%
04      72.5679
↘0.184, 0.25%
05      72.4421
↗0.126, 0.17%
06      72.1003
↗0.342, 0.47%
07      72.1003
→0.000, 0.00%
08      72.1003
→0.000, 0.00%
09      72.3802
↘0.280, 0.39%
10      72.4216
↘0.041, 0.06%
11      72.4185
↗0.003, 0.00%
12      72.4408
↘0.022, 0.03%
13      72.3255
↗0.115, 0.16%
14      72.3255
→0.000, 0.00%
15      72.3255
→0.000, 0.00%
16      72.1428
↗0.183, 0.25%
17      71.9533
↗0.189, 0.26%
18      72.0537
↘0.100, 0.14%
19      72.1864
↘0.133, 0.18%
20      72.1129
↗0.073, 0.10%
21      72.1129
→0.000, 0.00%
22      72.1129
→0.000, 0.00%
23      72.0630
↗0.050, 0.07%
24      72.0331
↗0.030, 0.04%
25      71.9288
↗0.104, 0.14%
26      71.9478
↘0.019, 0.03%
27      71.9549
↘0.007, 0.01%
28      71.9549
→0.000, 0.00%
29      71.9549
→0.000, 0.00%
30      72.0585
↘0.104, 0.14%
31      71.8098
↗0.249, 0.35%
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(“2006-10-01”),72.573,72.57],[new Date(“2006-10-02”),72.456,72.46],[new Date(“2006-10-03”),72.384,72.38],[new Date(“2006-10-04”),72.568,72.57],[new Date(“2006-10-05”),72.442,72.44],[new Date(“2006-10-06”),72.100,72.10],[new Date(“2006-10-07”),72.100,72.10],[new Date(“2006-10-08”),72.100,72.10],[new Date(“2006-10-09”),72.380,72.38],[new Date(“2006-10-10”),72.422,72.42],[new Date(“2006-10-11”),72.418,72.42],[new Date(“2006-10-12”),72.441,72.44],[new Date(“2006-10-13”),72.325,72.33],[new Date(“2006-10-14”),72.325,72.33],[new Date(“2006-10-15”),72.325,72.33],[new Date(“2006-10-16”),72.143,72.14],[new Date(“2006-10-17”),71.953,71.95],[new Date(“2006-10-18”),72.054,72.05],[new Date(“2006-10-19”),72.186,72.19],[new Date(“2006-10-20”),72.113,72.11],[new Date(“2006-10-21”),72.113,72.11],[new Date(“2006-10-22”),72.113,72.11],[new Date(“2006-10-23”),72.063,72.06],[new Date(“2006-10-24”),72.033,72.03],[new Date(“2006-10-25”),71.929,71.93],[new Date(“2006-10-26”),71.948,71.95],[new Date(“2006-10-27”),71.955,71.95],[new Date(“2006-10-28”),71.955,71.95],[new Date(“2006-10-29”),71.955,71.95],[new Date(“2006-10-30”),72.059,72.06],[new Date(“2006-10-31″),71.810,71.81],]);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_10’));
chart.draw(data, options);
}

September, 2006

01      72.4523
02      72.4523
→0.000, 0.00%
03      72.4523
→0.000, 0.00%
04      72.3938
↗0.059, 0.08%
05      72.4507
↘0.057, 0.08%
06      72.4053
↗0.045, 0.06%
07      72.4053
→0.000, 0.00%
08      72.5473
↘0.142, 0.20%
09      72.5473
→0.000, 0.00%
10      72.5473
→0.000, 0.00%
11      72.5617
↘0.014, 0.02%
12      72.9862
↘0.424, 0.58%
13      73.1449
↘0.159, 0.22%
14      73.1792
↘0.034, 0.05%
15      73.1381
↗0.041, 0.06%
16      73.1381
→0.000, 0.00%
17      73.1381
→0.000, 0.00%
18      73.1184
↗0.020, 0.03%
19      72.7565
↗0.362, 0.49%
20      72.7770
↘0.020, 0.03%
21      72.7994
↘0.022, 0.03%
22      72.8004
↘0.001, 0.00%
23      72.8004
→0.000, 0.00%
24      72.8004
→0.000, 0.00%
25      72.6714
↗0.129, 0.18%
26      72.5755
↗0.096, 0.13%
27      72.5810
↘0.005, 0.01%
28      72.6226
↘0.042, 0.06%
29      72.5734
↗0.049, 0.07%
30      72.5734
→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(“2006-09-01”),72.452,72.45],[new Date(“2006-09-02”),72.452,72.45],[new Date(“2006-09-03”),72.452,72.45],[new Date(“2006-09-04”),72.394,72.39],[new Date(“2006-09-05”),72.451,72.45],[new Date(“2006-09-06”),72.405,72.41],[new Date(“2006-09-07”),72.405,72.41],[new Date(“2006-09-08”),72.547,72.55],[new Date(“2006-09-09”),72.547,72.55],[new Date(“2006-09-10”),72.547,72.55],[new Date(“2006-09-11”),72.562,72.56],[new Date(“2006-09-12”),72.986,72.99],[new Date(“2006-09-13”),73.145,73.14],[new Date(“2006-09-14”),73.179,73.18],[new Date(“2006-09-15”),73.138,73.14],[new Date(“2006-09-16”),73.138,73.14],[new Date(“2006-09-17”),73.138,73.14],[new Date(“2006-09-18”),73.118,73.12],[new Date(“2006-09-19”),72.757,72.76],[new Date(“2006-09-20”),72.777,72.78],[new Date(“2006-09-21”),72.799,72.80],[new Date(“2006-09-22”),72.800,72.80],[new Date(“2006-09-23”),72.800,72.80],[new Date(“2006-09-24”),72.800,72.80],[new Date(“2006-09-25”),72.671,72.67],[new Date(“2006-09-26”),72.576,72.58],[new Date(“2006-09-27”),72.581,72.58],[new Date(“2006-09-28”),72.623,72.62],[new Date(“2006-09-29”),72.573,72.57],[new Date(“2006-09-30″),72.573,72.57],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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lineWidth: 4,
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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, 2006

01      73.1468
02      72.9770
↗0.170, 0.23%
03      72.7338
↗0.243, 0.33%
04      72.6584
↗0.075, 0.10%
05      72.6584
→0.000, 0.00%
06      72.6584
→0.000, 0.00%
07      72.4903
↗0.168, 0.23%
08      72.8001
↘0.310, 0.43%
09      72.8557
↘0.056, 0.08%
10      72.7583
↗0.097, 0.13%
11      72.7729
↘0.015, 0.02%
12      72.7729
→0.000, 0.00%
13      72.7729
→0.000, 0.00%
14      72.6941
↗0.079, 0.11%
15      72.5965
↗0.098, 0.13%
16      72.6057
↘0.009, 0.01%
17      72.5349
↗0.071, 0.10%
18      72.5215
↗0.013, 0.02%
19      72.5215
→0.000, 0.00%
20      72.5215
→0.000, 0.00%
21      72.5045
↗0.017, 0.02%
22      72.7669
↘0.262, 0.36%
23      72.6499
↗0.117, 0.16%
24      72.7325
↘0.083, 0.11%
25      72.8208
↘0.088, 0.12%
26      72.8208
→0.000, 0.00%
27      72.8208
→0.000, 0.00%
28      72.6066
↗0.214, 0.29%
29      72.5392
↗0.067, 0.09%
30      72.4388
↗0.100, 0.14%
31      72.5092
↘0.070, 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”);
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2006

01      73.6600
02      73.6600
→0.000, 0.00%
03      73.4493
↗0.211, 0.29%
04      73.1534
↗0.296, 0.40%
05      72.7963
↗0.357, 0.49%
06      73.1518
↘0.356, 0.49%
07      73.7499
↘0.598, 0.82%
08      73.7499
→0.000, 0.00%
09      73.7499
→0.000, 0.00%
10      73.7581
↘0.008, 0.01%
11      73.3704
↗0.388, 0.53%
12      73.2221
↗0.148, 0.20%
13      73.4009
↘0.179, 0.24%
14      73.3775
↗0.023, 0.03%
15      73.3775
→0.000, 0.00%
16      73.3775
→0.000, 0.00%
17      73.4641
↘0.087, 0.12%
18      73.4592
↗0.005, 0.01%
19      73.4397
↗0.019, 0.03%
20      73.5320
↘0.092, 0.13%
21      73.6252
↘0.093, 0.13%
22      73.6252
→0.000, 0.00%
23      73.6252
→0.000, 0.00%
24      73.9176
↘0.292, 0.40%
25      73.9880
↘0.070, 0.10%
26      73.7698
↗0.218, 0.29%
27      73.5480
↗0.222, 0.30%
28      73.4826
↗0.065, 0.09%
29      73.4826
→0.000, 0.00%
30      73.4826
→0.000, 0.00%
31      73.4091
↗0.074, 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(“2006-07-01”),73.660,73.66],[new Date(“2006-07-02”),73.660,73.66],[new Date(“2006-07-03”),73.449,73.45],[new Date(“2006-07-04”),73.153,73.15],[new Date(“2006-07-05”),72.796,72.80],[new Date(“2006-07-06”),73.152,73.15],[new Date(“2006-07-07”),73.750,73.75],[new Date(“2006-07-08”),73.750,73.75],[new Date(“2006-07-09”),73.750,73.75],[new Date(“2006-07-10”),73.758,73.76],[new Date(“2006-07-11”),73.370,73.37],[new Date(“2006-07-12”),73.222,73.22],[new Date(“2006-07-13”),73.401,73.40],[new Date(“2006-07-14”),73.378,73.38],[new Date(“2006-07-15”),73.378,73.38],[new Date(“2006-07-16”),73.378,73.38],[new Date(“2006-07-17”),73.464,73.46],[new Date(“2006-07-18”),73.459,73.46],[new Date(“2006-07-19”),73.440,73.44],[new Date(“2006-07-20”),73.532,73.53],[new Date(“2006-07-21”),73.625,73.63],[new Date(“2006-07-22”),73.625,73.63],[new Date(“2006-07-23”),73.625,73.63],[new Date(“2006-07-24”),73.918,73.92],[new Date(“2006-07-25”),73.988,73.99],[new Date(“2006-07-26”),73.770,73.77],[new Date(“2006-07-27”),73.548,73.55],[new Date(“2006-07-28”),73.483,73.48],[new Date(“2006-07-29”),73.483,73.48],[new Date(“2006-07-30”),73.483,73.48],[new Date(“2006-07-31″),73.409,73.41],]);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, 2006

01      71.9822
02      71.9008
↗0.081, 0.11%
03      71.9008
→0.000, 0.00%
04      71.9008
→0.000, 0.00%
05      72.0070
↘0.106, 0.15%
06      72.1273
↘0.120, 0.17%
07      72.3560
↘0.229, 0.32%
08      72.3702
↘0.014, 0.02%
09      72.4062
↘0.036, 0.05%
10      72.4062
→0.000, 0.00%
11      72.4062
→0.000, 0.00%
12      72.7544
↘0.348, 0.48%
13      73.8945
↘1.140, 1.57%
14      73.6458
↗0.249, 0.34%
15      73.3848
↗0.261, 0.35%
16      73.4119
↘0.027, 0.04%
17      73.4119
→0.000, 0.00%
18      73.4119
→0.000, 0.00%
19      73.4644
↘0.052, 0.07%
20      73.3850
↗0.079, 0.11%
21      73.4953
↘0.110, 0.15%
22      74.3437
↘0.848, 1.15%
23      74.1750
↗0.169, 0.23%
24      74.1750
→0.000, 0.00%
25      74.1750
→0.000, 0.00%
26      74.2399
↘0.065, 0.09%
27      74.1341
↗0.106, 0.14%
28      73.6677
↗0.466, 0.63%
29      73.6788
↘0.011, 0.02%
30      73.6600
↗0.019, 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(“2006-06-01”),71.982,71.98],[new Date(“2006-06-02”),71.901,71.90],[new Date(“2006-06-03”),71.901,71.90],[new Date(“2006-06-04”),71.901,71.90],[new Date(“2006-06-05”),72.007,72.01],[new Date(“2006-06-06”),72.127,72.13],[new Date(“2006-06-07”),72.356,72.36],[new Date(“2006-06-08”),72.370,72.37],[new Date(“2006-06-09”),72.406,72.41],[new Date(“2006-06-10”),72.406,72.41],[new Date(“2006-06-11”),72.406,72.41],[new Date(“2006-06-12”),72.754,72.75],[new Date(“2006-06-13”),73.894,73.89],[new Date(“2006-06-14”),73.646,73.65],[new Date(“2006-06-15”),73.385,73.38],[new Date(“2006-06-16”),73.412,73.41],[new Date(“2006-06-17”),73.412,73.41],[new Date(“2006-06-18”),73.412,73.41],[new Date(“2006-06-19”),73.464,73.46],[new Date(“2006-06-20”),73.385,73.39],[new Date(“2006-06-21”),73.495,73.50],[new Date(“2006-06-22”),74.344,74.34],[new Date(“2006-06-23”),74.175,74.17],[new Date(“2006-06-24”),74.175,74.17],[new Date(“2006-06-25”),74.175,74.17],[new Date(“2006-06-26”),74.240,74.24],[new Date(“2006-06-27”),74.134,74.13],[new Date(“2006-06-28”),73.668,73.67],[new Date(“2006-06-29”),73.679,73.68],[new Date(“2006-06-30″),73.660,73.66],]);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, 2006

01      70.9473
02      70.9597
↘0.012, 0.02%
03      70.7799
↗0.180, 0.25%
04      70.9164
↘0.137, 0.19%
05      70.6834
↗0.233, 0.33%
06      70.6834
→0.000, 0.00%
07      70.6834
→0.000, 0.00%
08      70.7397
↘0.056, 0.08%
09      70.7988
↘0.059, 0.08%
10      71.1461
↘0.347, 0.49%
11      71.1355
↗0.011, 0.01%
12      71.2725
↘0.137, 0.19%
13      71.2725
→0.000, 0.00%
14      71.2725
→0.000, 0.00%
15      71.4704
↘0.198, 0.28%
16      71.7651
↘0.295, 0.41%
17      72.1027
↘0.338, 0.47%
18      72.1245
↘0.022, 0.03%
19      72.3255
↘0.201, 0.28%
20      72.3255
→0.000, 0.00%
21      72.3255
→0.000, 0.00%
22      72.3542
↘0.029, 0.04%
23      72.3887
↘0.035, 0.05%
24      72.1802
↗0.208, 0.29%
25      72.2064
↘0.026, 0.04%
26      72.2852
↘0.079, 0.11%
27      72.2852
→0.000, 0.00%
28      72.2852
→0.000, 0.00%
29      72.2465
↗0.039, 0.05%
30      72.2234
↗0.023, 0.03%
31      71.9051
↗0.318, 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(“2006-05-01”),70.947,70.95],[new Date(“2006-05-02”),70.960,70.96],[new Date(“2006-05-03”),70.780,70.78],[new Date(“2006-05-04”),70.916,70.92],[new Date(“2006-05-05”),70.683,70.68],[new Date(“2006-05-06”),70.683,70.68],[new Date(“2006-05-07”),70.683,70.68],[new Date(“2006-05-08”),70.740,70.74],[new Date(“2006-05-09”),70.799,70.80],[new Date(“2006-05-10”),71.146,71.15],[new Date(“2006-05-11”),71.136,71.14],[new Date(“2006-05-12”),71.272,71.27],[new Date(“2006-05-13”),71.272,71.27],[new Date(“2006-05-14”),71.272,71.27],[new Date(“2006-05-15”),71.470,71.47],[new Date(“2006-05-16”),71.765,71.77],[new Date(“2006-05-17”),72.103,72.10],[new Date(“2006-05-18”),72.124,72.12],[new Date(“2006-05-19”),72.326,72.33],[new Date(“2006-05-20”),72.326,72.33],[new Date(“2006-05-21”),72.326,72.33],[new Date(“2006-05-22”),72.354,72.35],[new Date(“2006-05-23”),72.389,72.39],[new Date(“2006-05-24”),72.180,72.18],[new Date(“2006-05-25”),72.206,72.21],[new Date(“2006-05-26”),72.285,72.29],[new Date(“2006-05-27”),72.285,72.29],[new Date(“2006-05-28”),72.285,72.29],[new Date(“2006-05-29”),72.247,72.25],[new Date(“2006-05-30”),72.223,72.22],[new Date(“2006-05-31″),71.905,71.91],]);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, 2006

01      71.4582
02      71.4582
→0.000, 0.00%
03      71.5073
↘0.049, 0.07%
04      71.4539
↗0.053, 0.07%
05      70.9071
↗0.547, 0.77%
06      70.8881
↗0.019, 0.03%
07      70.9002
↘0.012, 0.02%
08      70.9002
→0.000, 0.00%
09      70.9002
→0.000, 0.00%
10      70.9928
↘0.093, 0.13%
11      71.2009
↘0.208, 0.29%
12      71.0366
↗0.164, 0.23%
13      70.9445
↗0.092, 0.13%
14      70.9445
→0.000, 0.00%
15      70.9445
→0.000, 0.00%
16      70.9445
→0.000, 0.00%
17      71.1684
↘0.224, 0.32%
18      71.1019
↗0.066, 0.09%
19      71.1613
↘0.059, 0.08%
20      71.1205
↗0.041, 0.06%
21      71.0744
↗0.046, 0.06%
22      71.0744
→0.000, 0.00%
23      71.0744
→0.000, 0.00%
24      71.0351
↗0.039, 0.06%
25      71.1699
↘0.135, 0.19%
26      71.1207
↗0.049, 0.07%
27      71.0271
↗0.094, 0.13%
28      70.9473
↗0.080, 0.11%
29      70.9473
→0.000, 0.00%
30      70.9473
→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(“2006-04-01”),71.458,71.46],[new Date(“2006-04-02”),71.458,71.46],[new Date(“2006-04-03”),71.507,71.51],[new Date(“2006-04-04”),71.454,71.45],[new Date(“2006-04-05”),70.907,70.91],[new Date(“2006-04-06”),70.888,70.89],[new Date(“2006-04-07”),70.900,70.90],[new Date(“2006-04-08”),70.900,70.90],[new Date(“2006-04-09”),70.900,70.90],[new Date(“2006-04-10”),70.993,70.99],[new Date(“2006-04-11”),71.201,71.20],[new Date(“2006-04-12”),71.037,71.04],[new Date(“2006-04-13”),70.945,70.94],[new Date(“2006-04-14”),70.945,70.94],[new Date(“2006-04-15”),70.945,70.94],[new Date(“2006-04-16”),70.945,70.94],[new Date(“2006-04-17”),71.168,71.17],[new Date(“2006-04-18”),71.102,71.10],[new Date(“2006-04-19”),71.161,71.16],[new Date(“2006-04-20”),71.120,71.12],[new Date(“2006-04-21”),71.074,71.07],[new Date(“2006-04-22”),71.074,71.07],[new Date(“2006-04-23”),71.074,71.07],[new Date(“2006-04-24”),71.035,71.04],[new Date(“2006-04-25”),71.170,71.17],[new Date(“2006-04-26”),71.121,71.12],[new Date(“2006-04-27”),71.027,71.03],[new Date(“2006-04-28”),70.947,70.95],[new Date(“2006-04-29”),70.947,70.95],[new Date(“2006-04-30″),70.947,70.95],]);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_4’));
chart.draw(data, options);
}

March, 2006

01      72.2647
02      72.1477
↗0.117, 0.16%
03      72.0454
↗0.102, 0.14%
04      72.0454
→0.000, 0.00%
05      72.0454
→0.000, 0.00%
06      71.7306
↗0.315, 0.44%
07      71.7721
↘0.042, 0.06%
08      71.6520
↗0.120, 0.17%
09      71.8125
↘0.161, 0.22%
10      71.8940
↘0.082, 0.11%
11      71.8940
→0.000, 0.00%
12      71.8940
→0.000, 0.00%
13      72.3625
↘0.468, 0.65%
14      72.1454
↗0.217, 0.30%
15      72.2141
↘0.069, 0.10%
16      72.2403
↘0.026, 0.04%
17      72.1208
↗0.120, 0.17%
18      72.1208
→0.000, 0.00%
19      72.1208
→0.000, 0.00%
20      72.1339
↘0.013, 0.02%
21      72.2325
↘0.099, 0.14%
22      72.1189
↗0.114, 0.16%
23      72.1258
↘0.007, 0.01%
24      72.1130
↗0.013, 0.02%
25      72.1130
→0.000, 0.00%
26      72.1130
→0.000, 0.00%
27      72.1655
↘0.053, 0.07%
28      72.1063
↗0.059, 0.08%
29      72.0265
↗0.080, 0.11%
30      71.6170
↗0.410, 0.57%
31      71.4582
↗0.159, 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(“2006-03-01”),72.265,72.26],[new Date(“2006-03-02”),72.148,72.15],[new Date(“2006-03-03”),72.045,72.05],[new Date(“2006-03-04”),72.045,72.05],[new Date(“2006-03-05”),72.045,72.05],[new Date(“2006-03-06”),71.731,71.73],[new Date(“2006-03-07”),71.772,71.77],[new Date(“2006-03-08”),71.652,71.65],[new Date(“2006-03-09”),71.813,71.81],[new Date(“2006-03-10”),71.894,71.89],[new Date(“2006-03-11”),71.894,71.89],[new Date(“2006-03-12”),71.894,71.89],[new Date(“2006-03-13”),72.363,72.36],[new Date(“2006-03-14”),72.145,72.15],[new Date(“2006-03-15”),72.214,72.21],[new Date(“2006-03-16”),72.240,72.24],[new Date(“2006-03-17”),72.121,72.12],[new Date(“2006-03-18”),72.121,72.12],[new Date(“2006-03-19”),72.121,72.12],[new Date(“2006-03-20”),72.134,72.13],[new Date(“2006-03-21”),72.233,72.23],[new Date(“2006-03-22”),72.119,72.12],[new Date(“2006-03-23”),72.126,72.13],[new Date(“2006-03-24”),72.113,72.11],[new Date(“2006-03-25”),72.113,72.11],[new Date(“2006-03-26”),72.113,72.11],[new Date(“2006-03-27”),72.165,72.17],[new Date(“2006-03-28”),72.106,72.11],[new Date(“2006-03-29”),72.026,72.03],[new Date(“2006-03-30”),71.617,71.62],[new Date(“2006-03-31″),71.458,71.46],]);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, 2006

01      71.4487
02      71.4395
↗0.009, 0.01%
03      71.0859
↗0.354, 0.50%
04      71.0859
→0.000, 0.00%
05      71.0859
→0.000, 0.00%
06      70.9191
↗0.167, 0.23%
07      71.0395
↘0.120, 0.17%
08      71.0768
↘0.037, 0.05%
09      71.4483
↘0.371, 0.52%
10      71.2410
↗0.207, 0.29%
11      71.2410
→0.000, 0.00%
12      71.2410
→0.000, 0.00%
13      71.2192
↗0.022, 0.03%
14      71.4246
↘0.205, 0.29%
15      71.5321
↘0.107, 0.15%
16      71.6053
↘0.073, 0.10%
17      71.6759
↘0.071, 0.10%
18      71.6759
→0.000, 0.00%
19      71.6759
→0.000, 0.00%
20      71.6546
↗0.021, 0.03%
21      72.1152
↘0.461, 0.64%
22      72.3798
↘0.265, 0.37%
23      72.5957
↘0.216, 0.30%
24      73.0297
↘0.434, 0.60%
25      73.0297
→0.000, 0.00%
26      73.0297
→0.000, 0.00%
27      73.2231
↘0.193, 0.26%
28      72.7034
↗0.520, 0.71%
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(“2006-02-01”),71.449,71.45],[new Date(“2006-02-02”),71.440,71.44],[new Date(“2006-02-03”),71.086,71.09],[new Date(“2006-02-04”),71.086,71.09],[new Date(“2006-02-05”),71.086,71.09],[new Date(“2006-02-06”),70.919,70.92],[new Date(“2006-02-07”),71.040,71.04],[new Date(“2006-02-08”),71.077,71.08],[new Date(“2006-02-09”),71.448,71.45],[new Date(“2006-02-10”),71.241,71.24],[new Date(“2006-02-11”),71.241,71.24],[new Date(“2006-02-12”),71.241,71.24],[new Date(“2006-02-13”),71.219,71.22],[new Date(“2006-02-14”),71.425,71.42],[new Date(“2006-02-15”),71.532,71.53],[new Date(“2006-02-16”),71.605,71.61],[new Date(“2006-02-17”),71.676,71.68],[new Date(“2006-02-18”),71.676,71.68],[new Date(“2006-02-19”),71.676,71.68],[new Date(“2006-02-20”),71.655,71.65],[new Date(“2006-02-21”),72.115,72.12],[new Date(“2006-02-22”),72.380,72.38],[new Date(“2006-02-23”),72.596,72.60],[new Date(“2006-02-24”),73.030,73.03],[new Date(“2006-02-25”),73.030,73.03],[new Date(“2006-02-26”),73.030,73.03],[new Date(“2006-02-27”),73.223,73.22],[new Date(“2006-02-28″),72.703,72.70],]);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_2’));
chart.draw(data, options);
}

January, 2006

01      72.6619
02      72.5725
↗0.089, 0.12%
03      72.2587
↗0.314, 0.43%
04      72.8747
↘0.616, 0.85%
05      73.0732
↘0.198, 0.27%
06      72.9402
↗0.133, 0.18%
07      72.9402
→0.000, 0.00%
08      72.9402
→0.000, 0.00%
09      72.6519
↗0.288, 0.40%
10      72.2632
↗0.389, 0.54%
11      71.9722
↗0.291, 0.40%
12      71.9698
↗0.002, 0.00%
13      72.1311
↘0.161, 0.22%
14      72.1311
→0.000, 0.00%
15      72.1311
→0.000, 0.00%
16      71.9770
↗0.154, 0.21%
17      71.7355
↗0.241, 0.34%
18      71.5362
↗0.199, 0.28%
19      71.7594
↘0.223, 0.31%
20      71.8794
↘0.120, 0.17%
21      71.8794
→0.000, 0.00%
22      71.8794
→0.000, 0.00%
23      72.0360
↘0.157, 0.22%
24      71.4176
↗0.618, 0.86%
25      71.3565
↗0.061, 0.09%
26      71.6656
↘0.309, 0.43%
27      71.8994
↘0.234, 0.33%
28      71.8994
→0.000, 0.00%
29      71.8994
→0.000, 0.00%
30      71.9045
↘0.005, 0.01%
31      71.6505
↗0.254, 0.35%
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(“2006-01-01”),72.662,72.66],[new Date(“2006-01-02”),72.573,72.57],[new Date(“2006-01-03”),72.259,72.26],[new Date(“2006-01-04”),72.875,72.87],[new Date(“2006-01-05”),73.073,73.07],[new Date(“2006-01-06”),72.940,72.94],[new Date(“2006-01-07”),72.940,72.94],[new Date(“2006-01-08”),72.940,72.94],[new Date(“2006-01-09”),72.652,72.65],[new Date(“2006-01-10”),72.263,72.26],[new Date(“2006-01-11”),71.972,71.97],[new Date(“2006-01-12”),71.970,71.97],[new Date(“2006-01-13”),72.131,72.13],[new Date(“2006-01-14”),72.131,72.13],[new Date(“2006-01-15”),72.131,72.13],[new Date(“2006-01-16”),71.977,71.98],[new Date(“2006-01-17”),71.736,71.74],[new Date(“2006-01-18”),71.536,71.54],[new Date(“2006-01-19”),71.759,71.76],[new Date(“2006-01-20”),71.879,71.88],[new Date(“2006-01-21”),71.879,71.88],[new Date(“2006-01-22”),71.879,71.88],[new Date(“2006-01-23”),72.036,72.04],[new Date(“2006-01-24”),71.418,71.42],[new Date(“2006-01-25”),71.357,71.36],[new Date(“2006-01-26”),71.666,71.67],[new Date(“2006-01-27”),71.899,71.90],[new Date(“2006-01-28”),71.899,71.90],[new Date(“2006-01-29”),71.899,71.90],[new Date(“2006-01-30”),71.905,71.90],[new Date(“2006-01-31″),71.650,71.65],]);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);
}