Kenyan Shilling KES 2004 Conversion Rates

  • Opening Value is 75.956000 KES per Dollar
  • Closing Value is 79.604415 KES per Dollar
  • Change in Value during 2004 is 3.6484 which is 4.80%
  • Best Performance is on 2004-02-17 with 74.812059 KES per Dollar
  • Lowest Performance is on 2004-08-25 with 82.646415 KES per Dollar
  • Average Value is 79.0345 KES per Dollar
  • Swing Between the higest and the lowest is 7.8344 per Dollar, that is 10.31% compared to the opening value.

USD to KES Conversion Rates – 12 months

Date 1 USD =
2004-12-31 79.6044 KES
2004-11-30 81.1816 KES
2004-10-31 81.2408 KES
2004-09-30 80.8019 KES
2004-08-31 79.7779 KES
2004-07-31 80.2801 KES
2004-06-30 79.3560 KES
2004-05-31 79.2365 KES
2004-04-30 78.1686 KES
2004-03-31 77.6348 KES
2004-02-29 76.3612 KES
2004-01-31 76.5225 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(“2004-12-31”),79.604,79.60],[new Date(“2004-11-30”),81.182,81.18],[new Date(“2004-10-31”),81.241,81.24],[new Date(“2004-09-30”),80.802,80.80],[new Date(“2004-08-31”),79.778,79.78],[new Date(“2004-07-31”),80.280,80.28],[new Date(“2004-06-30”),79.356,79.36],[new Date(“2004-05-31”),79.237,79.24],[new Date(“2004-04-30”),78.169,78.17],[new Date(“2004-03-31”),77.635,77.63],[new Date(“2004-02-29”),76.361,76.36],[new Date(“2004-01-31”),76.523,76.52],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2004

01      81.0059
02      81.1789
↘0.173, 0.21%
03      81.1339
↗0.045, 0.06%
04      81.1339
→0.000, 0.00%
05      81.1339
→0.000, 0.00%
06      81.2771
↘0.143, 0.18%
07      80.9881
↗0.289, 0.36%
08      81.2341
↘0.246, 0.30%
09      80.9919
↗0.242, 0.30%
10      81.1039
↘0.112, 0.14%
11      81.1039
→0.000, 0.00%
12      81.1039
→0.000, 0.00%
13      80.9258
↗0.178, 0.22%
14      80.3364
↗0.589, 0.73%
15      79.9668
↗0.370, 0.46%
16      79.3242
↗0.643, 0.80%
17      79.5031
↘0.179, 0.23%
18      79.5031
→0.000, 0.00%
19      79.5031
→0.000, 0.00%
20      79.3060
↗0.197, 0.25%
21      78.8241
↗0.482, 0.61%
22      78.8906
↘0.066, 0.08%
23      78.4541
↗0.437, 0.55%
24      78.3988
↗0.055, 0.07%
25      78.3988
→0.000, 0.00%
26      78.3988
→0.000, 0.00%
27      78.1999
↗0.199, 0.25%
28      76.4974
↗1.703, 2.18%
29      76.6533
↘0.156, 0.20%
30      76.9827
↘0.329, 0.43%
31      79.6044
↘2.622, 3.41%
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(“2004-12-01”),81.006,81.01],[new Date(“2004-12-02”),81.179,81.18],[new Date(“2004-12-03”),81.134,81.13],[new Date(“2004-12-04”),81.134,81.13],[new Date(“2004-12-05”),81.134,81.13],[new Date(“2004-12-06”),81.277,81.28],[new Date(“2004-12-07”),80.988,80.99],[new Date(“2004-12-08”),81.234,81.23],[new Date(“2004-12-09”),80.992,80.99],[new Date(“2004-12-10”),81.104,81.10],[new Date(“2004-12-11”),81.104,81.10],[new Date(“2004-12-12”),81.104,81.10],[new Date(“2004-12-13”),80.926,80.93],[new Date(“2004-12-14”),80.336,80.34],[new Date(“2004-12-15”),79.967,79.97],[new Date(“2004-12-16”),79.324,79.32],[new Date(“2004-12-17”),79.503,79.50],[new Date(“2004-12-18”),79.503,79.50],[new Date(“2004-12-19”),79.503,79.50],[new Date(“2004-12-20”),79.306,79.31],[new Date(“2004-12-21”),78.824,78.82],[new Date(“2004-12-22”),78.891,78.89],[new Date(“2004-12-23”),78.454,78.45],[new Date(“2004-12-24”),78.399,78.40],[new Date(“2004-12-25”),78.399,78.40],[new Date(“2004-12-26”),78.399,78.40],[new Date(“2004-12-27”),78.200,78.20],[new Date(“2004-12-28”),76.497,76.50],[new Date(“2004-12-29”),76.653,76.65],[new Date(“2004-12-30”),76.983,76.98],[new Date(“2004-12-31″),79.604,79.60],]);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, 2004

01      80.9865
02      81.1575
↘0.171, 0.21%
03      80.9345
↗0.223, 0.27%
04      80.8739
↗0.061, 0.07%
05      80.9213
↘0.047, 0.06%
06      80.9213
→0.000, 0.00%
07      80.9213
→0.000, 0.00%
08      81.1114
↘0.190, 0.23%
09      80.9488
↗0.163, 0.20%
10      80.8819
↗0.067, 0.08%
11      80.9815
↘0.100, 0.12%
12      81.0585
↘0.077, 0.10%
13      81.0585
→0.000, 0.00%
14      81.0585
→0.000, 0.00%
15      80.8973
↗0.161, 0.20%
16      81.1106
↘0.213, 0.26%
17      81.1820
↘0.071, 0.09%
18      81.2108
↘0.029, 0.04%
19      81.3067
↘0.096, 0.12%
20      81.3067
→0.000, 0.00%
21      81.3067
→0.000, 0.00%
22      81.1490
↗0.158, 0.19%
23      81.1040
↗0.045, 0.06%
24      81.0486
↗0.055, 0.07%
25      81.0223
↗0.026, 0.03%
26      81.1967
↘0.174, 0.22%
27      81.1967
→0.000, 0.00%
28      81.1967
→0.000, 0.00%
29      81.2045
↘0.008, 0.01%
30      81.1816
↗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(“2004-11-01”),80.987,80.99],[new Date(“2004-11-02”),81.158,81.16],[new Date(“2004-11-03”),80.935,80.93],[new Date(“2004-11-04”),80.874,80.87],[new Date(“2004-11-05”),80.921,80.92],[new Date(“2004-11-06”),80.921,80.92],[new Date(“2004-11-07”),80.921,80.92],[new Date(“2004-11-08”),81.111,81.11],[new Date(“2004-11-09”),80.949,80.95],[new Date(“2004-11-10”),80.882,80.88],[new Date(“2004-11-11”),80.981,80.98],[new Date(“2004-11-12”),81.058,81.06],[new Date(“2004-11-13”),81.058,81.06],[new Date(“2004-11-14”),81.058,81.06],[new Date(“2004-11-15”),80.897,80.90],[new Date(“2004-11-16”),81.111,81.11],[new Date(“2004-11-17”),81.182,81.18],[new Date(“2004-11-18”),81.211,81.21],[new Date(“2004-11-19”),81.307,81.31],[new Date(“2004-11-20”),81.307,81.31],[new Date(“2004-11-21”),81.307,81.31],[new Date(“2004-11-22”),81.149,81.15],[new Date(“2004-11-23”),81.104,81.10],[new Date(“2004-11-24”),81.049,81.05],[new Date(“2004-11-25”),81.022,81.02],[new Date(“2004-11-26”),81.197,81.20],[new Date(“2004-11-27”),81.197,81.20],[new Date(“2004-11-28”),81.197,81.20],[new Date(“2004-11-29”),81.205,81.20],[new Date(“2004-11-30″),81.182,81.18],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2004

01      80.7792
02      80.7792
→0.000, 0.00%
03      80.7792
→0.000, 0.00%
04      80.7700
↗0.009, 0.01%
05      80.7062
↗0.064, 0.08%
06      80.8558
↘0.150, 0.19%
07      80.9652
↘0.109, 0.14%
08      80.9388
↗0.026, 0.03%
09      80.9388
→0.000, 0.00%
10      80.9388
→0.000, 0.00%
11      80.8981
↗0.041, 0.05%
12      80.9896
↘0.091, 0.11%
13      81.1342
↘0.145, 0.18%
14      81.2752
↘0.141, 0.17%
15      81.2670
↗0.008, 0.01%
16      81.2670
→0.000, 0.00%
17      81.2670
→0.000, 0.00%
18      81.2286
↗0.038, 0.05%
19      81.3127
↘0.084, 0.10%
20      81.2502
↗0.062, 0.08%
21      81.2606
↘0.010, 0.01%
22      81.3046
↘0.044, 0.05%
23      81.3046
→0.000, 0.00%
24      81.3046
→0.000, 0.00%
25      81.1649
↗0.140, 0.17%
26      81.1635
↗0.001, 0.00%
27      81.3085
↘0.145, 0.18%
28      81.0252
↗0.283, 0.35%
29      81.2408
↘0.216, 0.27%
30      81.2408
→0.000, 0.00%
31      81.2408
→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(“2004-10-01”),80.779,80.78],[new Date(“2004-10-02”),80.779,80.78],[new Date(“2004-10-03”),80.779,80.78],[new Date(“2004-10-04”),80.770,80.77],[new Date(“2004-10-05”),80.706,80.71],[new Date(“2004-10-06”),80.856,80.86],[new Date(“2004-10-07”),80.965,80.97],[new Date(“2004-10-08”),80.939,80.94],[new Date(“2004-10-09”),80.939,80.94],[new Date(“2004-10-10”),80.939,80.94],[new Date(“2004-10-11”),80.898,80.90],[new Date(“2004-10-12”),80.990,80.99],[new Date(“2004-10-13”),81.134,81.13],[new Date(“2004-10-14”),81.275,81.28],[new Date(“2004-10-15”),81.267,81.27],[new Date(“2004-10-16”),81.267,81.27],[new Date(“2004-10-17”),81.267,81.27],[new Date(“2004-10-18”),81.229,81.23],[new Date(“2004-10-19”),81.313,81.31],[new Date(“2004-10-20”),81.250,81.25],[new Date(“2004-10-21”),81.261,81.26],[new Date(“2004-10-22”),81.305,81.30],[new Date(“2004-10-23”),81.305,81.30],[new Date(“2004-10-24”),81.305,81.30],[new Date(“2004-10-25”),81.165,81.16],[new Date(“2004-10-26”),81.164,81.16],[new Date(“2004-10-27”),81.309,81.31],[new Date(“2004-10-28”),81.025,81.03],[new Date(“2004-10-29”),81.241,81.24],[new Date(“2004-10-30”),81.241,81.24],[new Date(“2004-10-31″),81.241,81.24],]);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, 2004

01      79.4308
02      79.6915
↘0.261, 0.33%
03      79.9684
↘0.277, 0.35%
04      79.9684
→0.000, 0.00%
05      79.9684
→0.000, 0.00%
06      80.0005
↘0.032, 0.04%
07      80.4872
↘0.487, 0.61%
08      80.8312
↘0.344, 0.43%
09      80.5404
↗0.291, 0.36%
10      80.6624
↘0.122, 0.15%
11      80.6624
→0.000, 0.00%
12      80.6624
→0.000, 0.00%
13      80.6011
↗0.061, 0.08%
14      81.1875
↘0.586, 0.73%
15      81.1900
↘0.002, 0.00%
16      80.4589
↗0.731, 0.90%
17      80.0642
↗0.395, 0.49%
18      80.0642
→0.000, 0.00%
19      80.0642
→0.000, 0.00%
20      80.8633
↘0.799, 1.00%
21      80.9547
↘0.091, 0.11%
22      81.0634
↘0.109, 0.13%
23      80.8194
↗0.244, 0.30%
24      80.8001
↗0.019, 0.02%
25      80.8001
→0.000, 0.00%
26      80.8001
→0.000, 0.00%
27      80.9347
↘0.135, 0.17%
28      81.1519
↘0.217, 0.27%
29      81.0462
↗0.106, 0.13%
30      80.8019
↗0.244, 0.30%
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(“2004-09-01”),79.431,79.43],[new Date(“2004-09-02”),79.691,79.69],[new Date(“2004-09-03”),79.968,79.97],[new Date(“2004-09-04”),79.968,79.97],[new Date(“2004-09-05”),79.968,79.97],[new Date(“2004-09-06”),80.000,80.00],[new Date(“2004-09-07”),80.487,80.49],[new Date(“2004-09-08”),80.831,80.83],[new Date(“2004-09-09”),80.540,80.54],[new Date(“2004-09-10”),80.662,80.66],[new Date(“2004-09-11”),80.662,80.66],[new Date(“2004-09-12”),80.662,80.66],[new Date(“2004-09-13”),80.601,80.60],[new Date(“2004-09-14”),81.188,81.19],[new Date(“2004-09-15”),81.190,81.19],[new Date(“2004-09-16”),80.459,80.46],[new Date(“2004-09-17”),80.064,80.06],[new Date(“2004-09-18”),80.064,80.06],[new Date(“2004-09-19”),80.064,80.06],[new Date(“2004-09-20”),80.863,80.86],[new Date(“2004-09-21”),80.955,80.95],[new Date(“2004-09-22”),81.063,81.06],[new Date(“2004-09-23”),80.819,80.82],[new Date(“2004-09-24”),80.800,80.80],[new Date(“2004-09-25”),80.800,80.80],[new Date(“2004-09-26”),80.800,80.80],[new Date(“2004-09-27”),80.935,80.93],[new Date(“2004-09-28”),81.152,81.15],[new Date(“2004-09-29”),81.046,81.05],[new Date(“2004-09-30″),80.802,80.80],]);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_9’));
chart.draw(data, options);
}

August, 2004

01      80.2801
02      80.1556
↗0.125, 0.16%
03      80.1836
↘0.028, 0.03%
04      80.2434
↘0.060, 0.07%
05      80.1777
↗0.066, 0.08%
06      80.2998
↘0.122, 0.15%
07      80.2998
→0.000, 0.00%
08      80.2998
→0.000, 0.00%
09      80.3065
↘0.007, 0.01%
10      80.2752
↗0.031, 0.04%
11      80.5007
↘0.226, 0.28%
12      80.7694
↘0.269, 0.33%
13      80.7951
↘0.026, 0.03%
14      80.7951
→0.000, 0.00%
15      80.7951
→0.000, 0.00%
16      80.9352
↘0.140, 0.17%
17      80.5458
↗0.389, 0.48%
18      80.6885
↘0.143, 0.18%
19      80.7972
↘0.109, 0.13%
20      81.0577
↘0.261, 0.32%
21      81.0577
→0.000, 0.00%
22      81.0577
→0.000, 0.00%
23      81.3535
↘0.296, 0.36%
24      81.7973
↘0.444, 0.55%
25      82.6464
↘0.849, 1.04%
26      81.1298
↗1.517, 1.84%
27      80.9471
↗0.183, 0.23%
28      80.9471
→0.000, 0.00%
29      80.9471
→0.000, 0.00%
30      80.4121
↗0.535, 0.66%
31      79.7779
↗0.634, 0.79%
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(“2004-08-01”),80.280,80.28],[new Date(“2004-08-02”),80.156,80.16],[new Date(“2004-08-03”),80.184,80.18],[new Date(“2004-08-04”),80.243,80.24],[new Date(“2004-08-05”),80.178,80.18],[new Date(“2004-08-06”),80.300,80.30],[new Date(“2004-08-07”),80.300,80.30],[new Date(“2004-08-08”),80.300,80.30],[new Date(“2004-08-09”),80.306,80.31],[new Date(“2004-08-10”),80.275,80.28],[new Date(“2004-08-11”),80.501,80.50],[new Date(“2004-08-12”),80.769,80.77],[new Date(“2004-08-13”),80.795,80.80],[new Date(“2004-08-14”),80.795,80.80],[new Date(“2004-08-15”),80.795,80.80],[new Date(“2004-08-16”),80.935,80.94],[new Date(“2004-08-17”),80.546,80.55],[new Date(“2004-08-18”),80.688,80.69],[new Date(“2004-08-19”),80.797,80.80],[new Date(“2004-08-20”),81.058,81.06],[new Date(“2004-08-21”),81.058,81.06],[new Date(“2004-08-22”),81.058,81.06],[new Date(“2004-08-23”),81.354,81.35],[new Date(“2004-08-24”),81.797,81.80],[new Date(“2004-08-25”),82.646,82.65],[new Date(“2004-08-26”),81.130,81.13],[new Date(“2004-08-27”),80.947,80.95],[new Date(“2004-08-28”),80.947,80.95],[new Date(“2004-08-29”),80.947,80.95],[new Date(“2004-08-30”),80.412,80.41],[new Date(“2004-08-31″),79.778,79.78],]);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_8’));
chart.draw(data, options);
}

July, 2004

01      79.0371
02      79.0904
↘0.053, 0.07%
03      79.0904
→0.000, 0.00%
04      79.0904
→0.000, 0.00%
05      79.2786
↘0.188, 0.24%
06      79.1058
↗0.173, 0.22%
07      78.8583
↗0.248, 0.31%
08      79.0452
↘0.187, 0.24%
09      78.7793
↗0.266, 0.34%
10      78.7793
→0.000, 0.00%
11      78.7793
→0.000, 0.00%
12      78.6690
↗0.110, 0.14%
13      78.9057
↘0.237, 0.30%
14      79.0045
↘0.099, 0.13%
15      78.8994
↗0.105, 0.13%
16      79.1250
↘0.226, 0.29%
17      79.1250
→0.000, 0.00%
18      79.1250
→0.000, 0.00%
19      78.7392
↗0.386, 0.49%
20      78.7573
↘0.018, 0.02%
21      80.0724
↘1.315, 1.67%
22      79.3496
↗0.723, 0.90%
23      79.7300
↘0.380, 0.48%
24      79.7300
→0.000, 0.00%
25      79.7300
→0.000, 0.00%
26      80.5024
↘0.772, 0.97%
27      80.4129
↗0.090, 0.11%
28      80.3925
↗0.020, 0.03%
29      80.3122
↗0.080, 0.10%
30      80.2801
↗0.032, 0.04%
31      80.2801
→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(“2004-07-01”),79.037,79.04],[new Date(“2004-07-02”),79.090,79.09],[new Date(“2004-07-03”),79.090,79.09],[new Date(“2004-07-04”),79.090,79.09],[new Date(“2004-07-05”),79.279,79.28],[new Date(“2004-07-06”),79.106,79.11],[new Date(“2004-07-07”),78.858,78.86],[new Date(“2004-07-08”),79.045,79.05],[new Date(“2004-07-09”),78.779,78.78],[new Date(“2004-07-10”),78.779,78.78],[new Date(“2004-07-11”),78.779,78.78],[new Date(“2004-07-12”),78.669,78.67],[new Date(“2004-07-13”),78.906,78.91],[new Date(“2004-07-14”),79.004,79.00],[new Date(“2004-07-15”),78.899,78.90],[new Date(“2004-07-16”),79.125,79.12],[new Date(“2004-07-17”),79.125,79.12],[new Date(“2004-07-18”),79.125,79.12],[new Date(“2004-07-19”),78.739,78.74],[new Date(“2004-07-20”),78.757,78.76],[new Date(“2004-07-21”),80.072,80.07],[new Date(“2004-07-22”),79.350,79.35],[new Date(“2004-07-23”),79.730,79.73],[new Date(“2004-07-24”),79.730,79.73],[new Date(“2004-07-25”),79.730,79.73],[new Date(“2004-07-26”),80.502,80.50],[new Date(“2004-07-27”),80.413,80.41],[new Date(“2004-07-28”),80.393,80.39],[new Date(“2004-07-29”),80.312,80.31],[new Date(“2004-07-30”),80.280,80.28],[new Date(“2004-07-31″),80.280,80.28],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}

June, 2004

01      78.9978
02      79.0647
↘0.067, 0.08%
03      78.7497
↗0.315, 0.40%
04      78.8421
↘0.092, 0.12%
05      78.8421
→0.000, 0.00%
06      78.8421
→0.000, 0.00%
07      79.1517
↘0.310, 0.39%
08      79.2506
↘0.099, 0.13%
09      79.4606
↘0.210, 0.26%
10      79.2731
↗0.187, 0.24%
11      79.0383
↗0.235, 0.30%
12      79.0383
→0.000, 0.00%
13      79.0383
→0.000, 0.00%
14      79.1055
↘0.067, 0.09%
15      79.9828
↘0.877, 1.11%
16      79.2769
↗0.706, 0.88%
17      79.8490
↘0.572, 0.72%
18      79.3991
↗0.450, 0.56%
19      79.3991
→0.000, 0.00%
20      79.3991
→0.000, 0.00%
21      79.4919
↘0.093, 0.12%
22      79.7820
↘0.290, 0.36%
23      79.6947
↗0.087, 0.11%
24      79.5825
↗0.112, 0.14%
25      79.1311
↗0.451, 0.57%
26      79.1311
→0.000, 0.00%
27      79.1311
→0.000, 0.00%
28      79.2413
↘0.110, 0.14%
29      79.5728
↘0.331, 0.42%
30      79.3560
↗0.217, 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(“2004-06-01”),78.998,79.00],[new Date(“2004-06-02”),79.065,79.06],[new Date(“2004-06-03”),78.750,78.75],[new Date(“2004-06-04”),78.842,78.84],[new Date(“2004-06-05”),78.842,78.84],[new Date(“2004-06-06”),78.842,78.84],[new Date(“2004-06-07”),79.152,79.15],[new Date(“2004-06-08”),79.251,79.25],[new Date(“2004-06-09”),79.461,79.46],[new Date(“2004-06-10”),79.273,79.27],[new Date(“2004-06-11”),79.038,79.04],[new Date(“2004-06-12”),79.038,79.04],[new Date(“2004-06-13”),79.038,79.04],[new Date(“2004-06-14”),79.105,79.11],[new Date(“2004-06-15”),79.983,79.98],[new Date(“2004-06-16”),79.277,79.28],[new Date(“2004-06-17”),79.849,79.85],[new Date(“2004-06-18”),79.399,79.40],[new Date(“2004-06-19”),79.399,79.40],[new Date(“2004-06-20”),79.399,79.40],[new Date(“2004-06-21”),79.492,79.49],[new Date(“2004-06-22”),79.782,79.78],[new Date(“2004-06-23”),79.695,79.69],[new Date(“2004-06-24”),79.582,79.58],[new Date(“2004-06-25”),79.131,79.13],[new Date(“2004-06-26”),79.131,79.13],[new Date(“2004-06-27”),79.131,79.13],[new Date(“2004-06-28”),79.241,79.24],[new Date(“2004-06-29”),79.573,79.57],[new Date(“2004-06-30″),79.356,79.36],]);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, 2004

01      78.1686
02      78.1686
→0.000, 0.00%
03      78.3569
↘0.188, 0.24%
04      78.3271
↗0.030, 0.04%
05      78.1898
↗0.137, 0.18%
06      78.3772
↘0.187, 0.24%
07      78.5145
↘0.137, 0.18%
08      78.5145
→0.000, 0.00%
09      78.5145
→0.000, 0.00%
10      78.8775
↘0.363, 0.46%
11      79.0245
↘0.147, 0.19%
12      79.1966
↘0.172, 0.22%
13      78.9291
↗0.268, 0.34%
14      78.9426
↘0.014, 0.02%
15      78.9426
→0.000, 0.00%
16      78.9426
→0.000, 0.00%
17      79.2057
↘0.263, 0.33%
18      79.5278
↘0.322, 0.41%
19      79.7030
↘0.175, 0.22%
20      79.6569
↗0.046, 0.06%
21      78.7658
↗0.891, 1.12%
22      78.7658
→0.000, 0.00%
23      78.7658
→0.000, 0.00%
24      79.7644
↘0.999, 1.27%
25      79.5987
↗0.166, 0.21%
26      78.6835
↗0.915, 1.15%
27      78.3635
↗0.320, 0.41%
28      78.9595
↘0.596, 0.76%
29      78.9595
→0.000, 0.00%
30      78.9595
→0.000, 0.00%
31      79.2365
↘0.277, 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(“2004-05-01”),78.169,78.17],[new Date(“2004-05-02”),78.169,78.17],[new Date(“2004-05-03”),78.357,78.36],[new Date(“2004-05-04”),78.327,78.33],[new Date(“2004-05-05”),78.190,78.19],[new Date(“2004-05-06”),78.377,78.38],[new Date(“2004-05-07”),78.515,78.51],[new Date(“2004-05-08”),78.515,78.51],[new Date(“2004-05-09”),78.515,78.51],[new Date(“2004-05-10”),78.877,78.88],[new Date(“2004-05-11”),79.024,79.02],[new Date(“2004-05-12”),79.197,79.20],[new Date(“2004-05-13”),78.929,78.93],[new Date(“2004-05-14”),78.943,78.94],[new Date(“2004-05-15”),78.943,78.94],[new Date(“2004-05-16”),78.943,78.94],[new Date(“2004-05-17”),79.206,79.21],[new Date(“2004-05-18”),79.528,79.53],[new Date(“2004-05-19”),79.703,79.70],[new Date(“2004-05-20”),79.657,79.66],[new Date(“2004-05-21”),78.766,78.77],[new Date(“2004-05-22”),78.766,78.77],[new Date(“2004-05-23”),78.766,78.77],[new Date(“2004-05-24”),79.764,79.76],[new Date(“2004-05-25”),79.599,79.60],[new Date(“2004-05-26”),78.684,78.68],[new Date(“2004-05-27”),78.363,78.36],[new Date(“2004-05-28”),78.959,78.96],[new Date(“2004-05-29”),78.959,78.96],[new Date(“2004-05-30”),78.959,78.96],[new Date(“2004-05-31″),79.237,79.24],]);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, 2004

01      77.7289
02      77.5853
↗0.144, 0.18%
03      77.5853
→0.000, 0.00%
04      77.5853
→0.000, 0.00%
05      78.0767
↘0.491, 0.63%
06      78.0618
↗0.015, 0.02%
07      78.1362
↘0.074, 0.10%
08      77.9229
↗0.213, 0.27%
09      77.0420
↗0.881, 1.13%
10      77.0420
→0.000, 0.00%
11      77.0420
→0.000, 0.00%
12      77.9229
↘0.881, 1.14%
13      78.1882
↘0.265, 0.34%
14      78.3922
↘0.204, 0.26%
15      78.6795
↘0.287, 0.37%
16      78.5785
↗0.101, 0.13%
17      78.5785
→0.000, 0.00%
18      78.5785
→0.000, 0.00%
19      78.2053
↗0.373, 0.48%
20      78.1519
↗0.053, 0.07%
21      78.1265
↗0.025, 0.03%
22      78.1275
↘0.001, 0.00%
23      78.7582
↘0.631, 0.81%
24      78.7582
→0.000, 0.00%
25      78.7582
→0.000, 0.00%
26      78.6560
↗0.102, 0.13%
27      78.2184
↗0.438, 0.56%
28      78.2124
↗0.006, 0.01%
29      78.1143
↗0.098, 0.13%
30      78.1686
↘0.054, 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(“2004-04-01”),77.729,77.73],[new Date(“2004-04-02”),77.585,77.59],[new Date(“2004-04-03”),77.585,77.59],[new Date(“2004-04-04”),77.585,77.59],[new Date(“2004-04-05”),78.077,78.08],[new Date(“2004-04-06”),78.062,78.06],[new Date(“2004-04-07”),78.136,78.14],[new Date(“2004-04-08”),77.923,77.92],[new Date(“2004-04-09”),77.042,77.04],[new Date(“2004-04-10”),77.042,77.04],[new Date(“2004-04-11”),77.042,77.04],[new Date(“2004-04-12”),77.923,77.92],[new Date(“2004-04-13”),78.188,78.19],[new Date(“2004-04-14”),78.392,78.39],[new Date(“2004-04-15”),78.679,78.68],[new Date(“2004-04-16”),78.579,78.58],[new Date(“2004-04-17”),78.579,78.58],[new Date(“2004-04-18”),78.579,78.58],[new Date(“2004-04-19”),78.205,78.21],[new Date(“2004-04-20”),78.152,78.15],[new Date(“2004-04-21”),78.126,78.13],[new Date(“2004-04-22”),78.127,78.13],[new Date(“2004-04-23”),78.758,78.76],[new Date(“2004-04-24”),78.758,78.76],[new Date(“2004-04-25”),78.758,78.76],[new Date(“2004-04-26”),78.656,78.66],[new Date(“2004-04-27”),78.218,78.22],[new Date(“2004-04-28”),78.212,78.21],[new Date(“2004-04-29”),78.114,78.11],[new Date(“2004-04-30″),78.169,78.17],]);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, 2004

01      76.1260
02      76.4077
↘0.282, 0.37%
03      77.2058
↘0.798, 1.04%
04      76.9561
↗0.250, 0.32%
05      76.9814
↘0.025, 0.03%
06      76.9814
→0.000, 0.00%
07      76.9814
→0.000, 0.00%
08      76.7725
↗0.209, 0.27%
09      76.7821
↘0.010, 0.01%
10      77.0262
↘0.244, 0.32%
11      77.2310
↘0.205, 0.27%
12      77.2384
↘0.007, 0.01%
13      77.2384
→0.000, 0.00%
14      77.2384
→0.000, 0.00%
15      77.0834
↗0.155, 0.20%
16      76.8613
↗0.222, 0.29%
17      77.4812
↘0.620, 0.81%
18      77.4223
↗0.059, 0.08%
19      76.8814
↗0.541, 0.70%
20      76.8814
→0.000, 0.00%
21      76.8814
→0.000, 0.00%
22      77.2265
↘0.345, 0.45%
23      77.3608
↘0.134, 0.17%
24      77.5086
↘0.148, 0.19%
25      77.8805
↘0.372, 0.48%
26      77.7426
↗0.138, 0.18%
27      77.7426
→0.000, 0.00%
28      77.7426
→0.000, 0.00%
29      77.9195
↘0.177, 0.23%
30      77.6978
↗0.222, 0.28%
31      77.6348
↗0.063, 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(“2004-03-01”),76.126,76.13],[new Date(“2004-03-02”),76.408,76.41],[new Date(“2004-03-03”),77.206,77.21],[new Date(“2004-03-04”),76.956,76.96],[new Date(“2004-03-05”),76.981,76.98],[new Date(“2004-03-06”),76.981,76.98],[new Date(“2004-03-07”),76.981,76.98],[new Date(“2004-03-08”),76.772,76.77],[new Date(“2004-03-09”),76.782,76.78],[new Date(“2004-03-10”),77.026,77.03],[new Date(“2004-03-11”),77.231,77.23],[new Date(“2004-03-12”),77.238,77.24],[new Date(“2004-03-13”),77.238,77.24],[new Date(“2004-03-14”),77.238,77.24],[new Date(“2004-03-15”),77.083,77.08],[new Date(“2004-03-16”),76.861,76.86],[new Date(“2004-03-17”),77.481,77.48],[new Date(“2004-03-18”),77.422,77.42],[new Date(“2004-03-19”),76.881,76.88],[new Date(“2004-03-20”),76.881,76.88],[new Date(“2004-03-21”),76.881,76.88],[new Date(“2004-03-22”),77.226,77.23],[new Date(“2004-03-23”),77.361,77.36],[new Date(“2004-03-24”),77.509,77.51],[new Date(“2004-03-25”),77.880,77.88],[new Date(“2004-03-26”),77.743,77.74],[new Date(“2004-03-27”),77.743,77.74],[new Date(“2004-03-28”),77.743,77.74],[new Date(“2004-03-29”),77.919,77.92],[new Date(“2004-03-30”),77.698,77.70],[new Date(“2004-03-31″),77.635,77.63],]);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, 2004

01      76.5225
02      76.5437
↘0.021, 0.03%
03      76.5441
↘0.000, 0.00%
04      76.4788
↗0.065, 0.09%
05      76.4237
↗0.055, 0.07%
06      76.4414
↘0.018, 0.02%
07      76.4414
→0.000, 0.00%
08      76.4414
→0.000, 0.00%
09      76.1552
↗0.286, 0.37%
10      76.1300
↗0.025, 0.03%
11      76.4442
↘0.314, 0.41%
12      76.4497
↘0.005, 0.01%
13      76.4556
↘0.006, 0.01%
14      76.4556
→0.000, 0.00%
15      76.4556
→0.000, 0.00%
16      76.1481
↗0.307, 0.40%
17      74.8121
↗1.336, 1.75%
18      76.3869
↘1.575, 2.11%
19      76.0747
↗0.312, 0.41%
20      75.7026
↗0.372, 0.49%
21      75.7026
→0.000, 0.00%
22      75.7026
→0.000, 0.00%
23      76.4612
↘0.759, 1.00%
24      76.5198
↘0.059, 0.08%
25      76.4995
↗0.020, 0.03%
26      76.0821
↗0.417, 0.55%
27      76.3612
↘0.279, 0.37%
28      76.3612
→0.000, 0.00%
29      76.3612
→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(“2004-02-01”),76.523,76.52],[new Date(“2004-02-02”),76.544,76.54],[new Date(“2004-02-03”),76.544,76.54],[new Date(“2004-02-04”),76.479,76.48],[new Date(“2004-02-05”),76.424,76.42],[new Date(“2004-02-06”),76.441,76.44],[new Date(“2004-02-07”),76.441,76.44],[new Date(“2004-02-08”),76.441,76.44],[new Date(“2004-02-09”),76.155,76.16],[new Date(“2004-02-10”),76.130,76.13],[new Date(“2004-02-11”),76.444,76.44],[new Date(“2004-02-12”),76.450,76.45],[new Date(“2004-02-13”),76.456,76.46],[new Date(“2004-02-14”),76.456,76.46],[new Date(“2004-02-15”),76.456,76.46],[new Date(“2004-02-16”),76.148,76.15],[new Date(“2004-02-17”),74.812,74.81],[new Date(“2004-02-18”),76.387,76.39],[new Date(“2004-02-19”),76.075,76.07],[new Date(“2004-02-20”),75.703,75.70],[new Date(“2004-02-21”),75.703,75.70],[new Date(“2004-02-22”),75.703,75.70],[new Date(“2004-02-23”),76.461,76.46],[new Date(“2004-02-24”),76.520,76.52],[new Date(“2004-02-25”),76.500,76.50],[new Date(“2004-02-26”),76.082,76.08],[new Date(“2004-02-27”),76.361,76.36],[new Date(“2004-02-28”),76.361,76.36],[new Date(“2004-02-29″),76.361,76.36],]);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, 2004

01      75.9560
02      75.9990
↘0.043, 0.06%
03      75.9990
→0.000, 0.00%
04      75.9990
→0.000, 0.00%
05      75.9973
↗0.002, 0.00%
06      75.5606
↗0.437, 0.57%
07      75.7983
↘0.238, 0.31%
08      75.9724
↘0.174, 0.23%
09      75.9282
↗0.044, 0.06%
10      75.9282
→0.000, 0.00%
11      75.9282
→0.000, 0.00%
12      76.0573
↘0.129, 0.17%
13      75.6225
↗0.435, 0.57%
14      75.7868
↘0.164, 0.22%
15      76.2270
↘0.440, 0.58%
16      76.3809
↘0.154, 0.20%
17      76.3809
→0.000, 0.00%
18      76.3809
→0.000, 0.00%
19      76.6487
↘0.268, 0.35%
20      76.3166
↗0.332, 0.43%
21      76.2523
↗0.064, 0.08%
22      76.0010
↗0.251, 0.33%
23      75.9131
↗0.088, 0.12%
24      75.9131
→0.000, 0.00%
25      75.9131
→0.000, 0.00%
26      76.4088
↘0.496, 0.65%
27      76.5181
↘0.109, 0.14%
28      76.3200
↗0.198, 0.26%
29      76.4999
↘0.180, 0.24%
30      76.5225
↘0.023, 0.03%
31      76.5225
→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(“2004-01-01”),75.956,75.96],[new Date(“2004-01-02”),75.999,76.00],[new Date(“2004-01-03”),75.999,76.00],[new Date(“2004-01-04”),75.999,76.00],[new Date(“2004-01-05”),75.997,76.00],[new Date(“2004-01-06”),75.561,75.56],[new Date(“2004-01-07”),75.798,75.80],[new Date(“2004-01-08”),75.972,75.97],[new Date(“2004-01-09”),75.928,75.93],[new Date(“2004-01-10”),75.928,75.93],[new Date(“2004-01-11”),75.928,75.93],[new Date(“2004-01-12”),76.057,76.06],[new Date(“2004-01-13”),75.622,75.62],[new Date(“2004-01-14”),75.787,75.79],[new Date(“2004-01-15”),76.227,76.23],[new Date(“2004-01-16”),76.381,76.38],[new Date(“2004-01-17”),76.381,76.38],[new Date(“2004-01-18”),76.381,76.38],[new Date(“2004-01-19”),76.649,76.65],[new Date(“2004-01-20”),76.317,76.32],[new Date(“2004-01-21”),76.252,76.25],[new Date(“2004-01-22”),76.001,76.00],[new Date(“2004-01-23”),75.913,75.91],[new Date(“2004-01-24”),75.913,75.91],[new Date(“2004-01-25”),75.913,75.91],[new Date(“2004-01-26”),76.409,76.41],[new Date(“2004-01-27”),76.518,76.52],[new Date(“2004-01-28”),76.320,76.32],[new Date(“2004-01-29”),76.500,76.50],[new Date(“2004-01-30”),76.523,76.52],[new Date(“2004-01-31″),76.523,76.52],]);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);
}