Kenyan Shilling KES 2003 Conversion Rates
- Opening Value is 78.275462 KES per Dollar
- Closing Value is 75.956000 KES per Dollar
- Change in Value during 2003 is -2.3195 which is -2.96%
- Best Performance is on 2003-05-14 with 67.471840 KES per Dollar
- Lowest Performance is on 2003-09-23 with 78.387330 KES per Dollar
- Average Value is 75.7907 KES per Dollar
- Swing Between the higest and the lowest is 10.9155 per Dollar, that is 13.94% compared to the opening value.
USD to KES Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2003-12-31 | 75.9560 KES |
| 2003-11-30 | 76.1471 KES |
| 2003-10-31 | 78.3064 KES |
| 2003-09-30 | 77.9886 KES |
| 2003-08-31 | 76.4623 KES |
| 2003-07-31 | 74.7610 KES |
| 2003-06-30 | 73.7263 KES |
| 2003-05-31 | 71.3010 KES |
| 2003-04-30 | 73.6042 KES |
| 2003-03-31 | 76.7219 KES |
| 2003-02-28 | 76.6391 KES |
| 2003-01-31 | 77.6121 KES |
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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chart.draw(data, options);
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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data.addColumn(“number”, “Conversion Rate”);
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chart.draw(data, options);
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December, 2003
01 75.9426
02 76.0176
↘0.075, 0.10%
03 76.1515
↘0.134, 0.18%
04 75.9308
↗0.221, 0.29%
05 75.9182
↗0.013, 0.02%
06 75.9182
→0.000, 0.00%
07 75.9182
→0.000, 0.00%
08 75.7119
↗0.206, 0.27%
09 75.0269
↗0.685, 0.90%
10 75.5571
↘0.530, 0.71%
11 75.1134
↗0.444, 0.59%
12 75.6042
↘0.491, 0.65%
13 75.6042
→0.000, 0.00%
14 75.6042
→0.000, 0.00%
15 75.6932
↘0.089, 0.12%
16 74.8507
↗0.842, 1.11%
17 75.8199
↘0.969, 1.29%
18 74.6212
↗1.199, 1.58%
19 75.5443
↘0.923, 1.24%
20 75.5443
→0.000, 0.00%
21 75.5443
→0.000, 0.00%
22 74.2911
↗1.253, 1.66%
23 75.5155
↘1.224, 1.65%
24 75.5183
↘0.003, 0.00%
25 75.5183
→0.000, 0.00%
26 75.5183
→0.000, 0.00%
27 75.5183
→0.000, 0.00%
28 75.5183
→0.000, 0.00%
29 75.9525
↘0.434, 0.57%
30 75.9549
↘0.002, 0.00%
31 75.9560
↘0.001, 0.00%
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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November, 2003
01 78.3064
02 78.3064
→0.000, 0.00%
03 77.3766
↗0.930, 1.19%
04 77.3793
↘0.003, 0.00%
05 75.9772
↗1.402, 1.81%
06 76.2810
↘0.304, 0.40%
07 78.3726
↘2.092, 2.74%
08 78.3726
→0.000, 0.00%
09 78.3726
→0.000, 0.00%
10 77.1311
↗1.241, 1.58%
11 76.6800
↗0.451, 0.58%
12 76.8763
↘0.196, 0.26%
13 77.5191
↘0.643, 0.84%
14 76.6027
↗0.916, 1.18%
15 76.6027
→0.000, 0.00%
16 76.6027
→0.000, 0.00%
17 76.2672
↗0.336, 0.44%
18 76.0006
↗0.267, 0.35%
19 76.3703
↘0.370, 0.49%
20 76.5932
↘0.223, 0.29%
21 76.2077
↗0.386, 0.50%
22 76.2077
→0.000, 0.00%
23 76.2077
→0.000, 0.00%
24 76.3883
↘0.181, 0.24%
25 76.6200
↘0.232, 0.30%
26 77.0738
↘0.454, 0.59%
27 76.5538
↗0.520, 0.67%
28 76.1471
↗0.407, 0.53%
29 76.1471
→0.000, 0.00%
30 76.1471
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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data.addColumn(“number”, “Conversion Rate”);
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October, 2003
01 77.9972
02 78.1644
↘0.167, 0.21%
03 78.0600
↗0.104, 0.13%
04 78.0600
→0.000, 0.00%
05 78.0600
→0.000, 0.00%
06 78.2912
↘0.231, 0.30%
07 78.0864
↗0.205, 0.26%
08 78.1024
↘0.016, 0.02%
09 78.1153
↘0.013, 0.02%
10 78.1645
↘0.049, 0.06%
11 78.1645
→0.000, 0.00%
12 78.1645
→0.000, 0.00%
13 78.3360
↘0.172, 0.22%
14 78.3028
↗0.033, 0.04%
15 77.8074
↗0.495, 0.63%
16 76.4123
↗1.395, 1.79%
17 76.7641
↘0.352, 0.46%
18 76.7641
→0.000, 0.00%
19 76.7641
→0.000, 0.00%
20 77.2306
↘0.467, 0.61%
21 76.5442
↗0.686, 0.89%
22 77.4100
↘0.866, 1.13%
23 76.4435
↗0.967, 1.25%
24 76.0249
↗0.419, 0.55%
25 76.0249
→0.000, 0.00%
26 76.0249
→0.000, 0.00%
27 76.1815
↘0.157, 0.21%
28 76.1853
↘0.004, 0.00%
29 77.7412
↘1.556, 2.04%
30 78.3076
↘0.566, 0.73%
31 78.3064
↗0.001, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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data.addColumn(“number”, “Conversion Rate”);
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September, 2003
01 76.5881
02 76.4962
↗0.092, 0.12%
03 76.4495
↗0.047, 0.06%
04 76.4870
↘0.037, 0.05%
05 76.8295
↘0.342, 0.45%
06 76.8295
→0.000, 0.00%
07 76.8295
→0.000, 0.00%
08 76.3165
↗0.513, 0.67%
09 76.8335
↘0.517, 0.68%
10 77.1307
↘0.297, 0.39%
11 77.7057
↘0.575, 0.75%
12 78.2442
↘0.539, 0.69%
13 78.2442
→0.000, 0.00%
14 78.2442
→0.000, 0.00%
15 77.9725
↗0.272, 0.35%
16 78.0245
↘0.052, 0.07%
17 78.1044
↘0.080, 0.10%
18 78.2088
↘0.104, 0.13%
19 78.3135
↘0.105, 0.13%
20 78.3135
→0.000, 0.00%
21 78.3135
→0.000, 0.00%
22 78.2222
↗0.091, 0.12%
23 78.3873
↘0.165, 0.21%
24 78.0926
↗0.295, 0.38%
25 78.0959
↘0.003, 0.00%
26 78.1171
↘0.021, 0.03%
27 78.1171
→0.000, 0.00%
28 78.1171
→0.000, 0.00%
29 78.2295
↘0.112, 0.14%
30 77.9886
↗0.241, 0.31%
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(“2003-09-01”),76.588,76.59],[new Date(“2003-09-02”),76.496,76.50],[new Date(“2003-09-03”),76.449,76.45],[new Date(“2003-09-04”),76.487,76.49],[new Date(“2003-09-05”),76.829,76.83],[new Date(“2003-09-06”),76.829,76.83],[new Date(“2003-09-07”),76.829,76.83],[new Date(“2003-09-08”),76.317,76.32],[new Date(“2003-09-09”),76.833,76.83],[new Date(“2003-09-10”),77.131,77.13],[new Date(“2003-09-11”),77.706,77.71],[new Date(“2003-09-12”),78.244,78.24],[new Date(“2003-09-13”),78.244,78.24],[new Date(“2003-09-14”),78.244,78.24],[new Date(“2003-09-15”),77.973,77.97],[new Date(“2003-09-16”),78.024,78.02],[new Date(“2003-09-17”),78.104,78.10],[new Date(“2003-09-18”),78.209,78.21],[new Date(“2003-09-19”),78.313,78.31],[new Date(“2003-09-20”),78.313,78.31],[new Date(“2003-09-21”),78.313,78.31],[new Date(“2003-09-22”),78.222,78.22],[new Date(“2003-09-23”),78.387,78.39],[new Date(“2003-09-24”),78.093,78.09],[new Date(“2003-09-25”),78.096,78.10],[new Date(“2003-09-26”),78.117,78.12],[new Date(“2003-09-27”),78.117,78.12],[new Date(“2003-09-28”),78.117,78.12],[new Date(“2003-09-29”),78.229,78.23],[new Date(“2003-09-30″),77.989,77.99],]);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);
}
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(“2003-09-01”),76.588,76.59],[new Date(“2003-09-02”),76.496,76.50],[new Date(“2003-09-03”),76.449,76.45],[new Date(“2003-09-04”),76.487,76.49],[new Date(“2003-09-05”),76.829,76.83],[new Date(“2003-09-06”),76.829,76.83],[new Date(“2003-09-07”),76.829,76.83],[new Date(“2003-09-08”),76.317,76.32],[new Date(“2003-09-09”),76.833,76.83],[new Date(“2003-09-10”),77.131,77.13],[new Date(“2003-09-11”),77.706,77.71],[new Date(“2003-09-12”),78.244,78.24],[new Date(“2003-09-13”),78.244,78.24],[new Date(“2003-09-14”),78.244,78.24],[new Date(“2003-09-15”),77.973,77.97],[new Date(“2003-09-16”),78.024,78.02],[new Date(“2003-09-17”),78.104,78.10],[new Date(“2003-09-18”),78.209,78.21],[new Date(“2003-09-19”),78.313,78.31],[new Date(“2003-09-20”),78.313,78.31],[new Date(“2003-09-21”),78.313,78.31],[new Date(“2003-09-22”),78.222,78.22],[new Date(“2003-09-23”),78.387,78.39],[new Date(“2003-09-24”),78.093,78.09],[new Date(“2003-09-25”),78.096,78.10],[new Date(“2003-09-26”),78.117,78.12],[new Date(“2003-09-27”),78.117,78.12],[new Date(“2003-09-28”),78.117,78.12],[new Date(“2003-09-29”),78.229,78.23],[new Date(“2003-09-30″),77.989,77.99],]);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, 2003
01 75.4859
02 75.4859
→0.000, 0.00%
03 75.4859
→0.000, 0.00%
04 74.7729
↗0.713, 0.94%
05 75.0274
↘0.254, 0.34%
06 75.0059
↗0.021, 0.03%
07 75.1503
↘0.144, 0.19%
08 74.9185
↗0.232, 0.31%
09 74.9185
→0.000, 0.00%
10 74.9185
→0.000, 0.00%
11 75.4182
↘0.500, 0.67%
12 75.3750
↗0.043, 0.06%
13 75.9327
↘0.558, 0.74%
14 75.6858
↗0.247, 0.33%
15 75.9776
↘0.292, 0.39%
16 75.9776
→0.000, 0.00%
17 75.9776
→0.000, 0.00%
18 76.0287
↘0.051, 0.07%
19 75.3566
↗0.672, 0.88%
20 76.2433
↘0.887, 1.18%
21 76.2768
↘0.033, 0.04%
22 76.2614
↗0.015, 0.02%
23 76.2614
→0.000, 0.00%
24 76.2614
→0.000, 0.00%
25 76.3986
↘0.137, 0.18%
26 76.2539
↗0.145, 0.19%
27 76.4874
↘0.234, 0.31%
28 77.6208
↘1.133, 1.48%
29 76.4623
↗1.158, 1.49%
30 76.4623
→0.000, 0.00%
31 76.4623
→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(“2003-08-01”),75.486,75.49],[new Date(“2003-08-02”),75.486,75.49],[new Date(“2003-08-03”),75.486,75.49],[new Date(“2003-08-04”),74.773,74.77],[new Date(“2003-08-05”),75.027,75.03],[new Date(“2003-08-06”),75.006,75.01],[new Date(“2003-08-07”),75.150,75.15],[new Date(“2003-08-08”),74.919,74.92],[new Date(“2003-08-09”),74.919,74.92],[new Date(“2003-08-10”),74.919,74.92],[new Date(“2003-08-11”),75.418,75.42],[new Date(“2003-08-12”),75.375,75.37],[new Date(“2003-08-13”),75.933,75.93],[new Date(“2003-08-14”),75.686,75.69],[new Date(“2003-08-15”),75.978,75.98],[new Date(“2003-08-16”),75.978,75.98],[new Date(“2003-08-17”),75.978,75.98],[new Date(“2003-08-18”),76.029,76.03],[new Date(“2003-08-19”),75.357,75.36],[new Date(“2003-08-20”),76.243,76.24],[new Date(“2003-08-21”),76.277,76.28],[new Date(“2003-08-22”),76.261,76.26],[new Date(“2003-08-23”),76.261,76.26],[new Date(“2003-08-24”),76.261,76.26],[new Date(“2003-08-25”),76.399,76.40],[new Date(“2003-08-26”),76.254,76.25],[new Date(“2003-08-27”),76.487,76.49],[new Date(“2003-08-28”),77.621,77.62],[new Date(“2003-08-29”),76.462,76.46],[new Date(“2003-08-30”),76.462,76.46],[new Date(“2003-08-31″),76.462,76.46],]);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_8’));
chart.draw(data, options);
}
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(“2003-08-01”),75.486,75.49],[new Date(“2003-08-02”),75.486,75.49],[new Date(“2003-08-03”),75.486,75.49],[new Date(“2003-08-04”),74.773,74.77],[new Date(“2003-08-05”),75.027,75.03],[new Date(“2003-08-06”),75.006,75.01],[new Date(“2003-08-07”),75.150,75.15],[new Date(“2003-08-08”),74.919,74.92],[new Date(“2003-08-09”),74.919,74.92],[new Date(“2003-08-10”),74.919,74.92],[new Date(“2003-08-11”),75.418,75.42],[new Date(“2003-08-12”),75.375,75.37],[new Date(“2003-08-13”),75.933,75.93],[new Date(“2003-08-14”),75.686,75.69],[new Date(“2003-08-15”),75.978,75.98],[new Date(“2003-08-16”),75.978,75.98],[new Date(“2003-08-17”),75.978,75.98],[new Date(“2003-08-18”),76.029,76.03],[new Date(“2003-08-19”),75.357,75.36],[new Date(“2003-08-20”),76.243,76.24],[new Date(“2003-08-21”),76.277,76.28],[new Date(“2003-08-22”),76.261,76.26],[new Date(“2003-08-23”),76.261,76.26],[new Date(“2003-08-24”),76.261,76.26],[new Date(“2003-08-25”),76.399,76.40],[new Date(“2003-08-26”),76.254,76.25],[new Date(“2003-08-27”),76.487,76.49],[new Date(“2003-08-28”),77.621,77.62],[new Date(“2003-08-29”),76.462,76.46],[new Date(“2003-08-30”),76.462,76.46],[new Date(“2003-08-31″),76.462,76.46],]);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_8’));
chart.draw(data, options);
}
July, 2003
01 73.7430
02 73.4307
↗0.312, 0.42%
03 73.6523
↘0.222, 0.30%
04 73.6695
↘0.017, 0.02%
05 73.6695
→0.000, 0.00%
06 73.6695
→0.000, 0.00%
07 74.0596
↘0.390, 0.53%
08 74.0326
↗0.027, 0.04%
09 74.0457
↘0.013, 0.02%
10 74.1461
↘0.100, 0.14%
11 74.1824
↘0.036, 0.05%
12 74.1824
→0.000, 0.00%
13 74.1824
→0.000, 0.00%
14 74.8657
↘0.683, 0.92%
15 73.9469
↗0.919, 1.23%
16 74.3264
↘0.380, 0.51%
17 74.4793
↘0.153, 0.21%
18 74.5893
↘0.110, 0.15%
19 74.5893
→0.000, 0.00%
20 74.5893
→0.000, 0.00%
21 75.0194
↘0.430, 0.58%
22 74.9112
↗0.108, 0.14%
23 75.5137
↘0.603, 0.80%
24 74.7815
↗0.732, 0.97%
25 75.3501
↘0.569, 0.76%
26 75.3501
→0.000, 0.00%
27 75.3501
→0.000, 0.00%
28 74.9001
↗0.450, 0.60%
29 75.0686
↘0.168, 0.22%
30 75.3914
↘0.323, 0.43%
31 74.7610
↗0.630, 0.84%
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(“2003-07-01”),73.743,73.74],[new Date(“2003-07-02”),73.431,73.43],[new Date(“2003-07-03”),73.652,73.65],[new Date(“2003-07-04”),73.669,73.67],[new Date(“2003-07-05”),73.669,73.67],[new Date(“2003-07-06”),73.669,73.67],[new Date(“2003-07-07”),74.060,74.06],[new Date(“2003-07-08”),74.033,74.03],[new Date(“2003-07-09”),74.046,74.05],[new Date(“2003-07-10”),74.146,74.15],[new Date(“2003-07-11”),74.182,74.18],[new Date(“2003-07-12”),74.182,74.18],[new Date(“2003-07-13”),74.182,74.18],[new Date(“2003-07-14”),74.866,74.87],[new Date(“2003-07-15”),73.947,73.95],[new Date(“2003-07-16”),74.326,74.33],[new Date(“2003-07-17”),74.479,74.48],[new Date(“2003-07-18”),74.589,74.59],[new Date(“2003-07-19”),74.589,74.59],[new Date(“2003-07-20”),74.589,74.59],[new Date(“2003-07-21”),75.019,75.02],[new Date(“2003-07-22”),74.911,74.91],[new Date(“2003-07-23”),75.514,75.51],[new Date(“2003-07-24”),74.782,74.78],[new Date(“2003-07-25”),75.350,75.35],[new Date(“2003-07-26”),75.350,75.35],[new Date(“2003-07-27”),75.350,75.35],[new Date(“2003-07-28”),74.900,74.90],[new Date(“2003-07-29”),75.069,75.07],[new Date(“2003-07-30”),75.391,75.39],[new Date(“2003-07-31″),74.761,74.76],]);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_7’));
chart.draw(data, options);
}
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(“2003-07-01”),73.743,73.74],[new Date(“2003-07-02”),73.431,73.43],[new Date(“2003-07-03”),73.652,73.65],[new Date(“2003-07-04”),73.669,73.67],[new Date(“2003-07-05”),73.669,73.67],[new Date(“2003-07-06”),73.669,73.67],[new Date(“2003-07-07”),74.060,74.06],[new Date(“2003-07-08”),74.033,74.03],[new Date(“2003-07-09”),74.046,74.05],[new Date(“2003-07-10”),74.146,74.15],[new Date(“2003-07-11”),74.182,74.18],[new Date(“2003-07-12”),74.182,74.18],[new Date(“2003-07-13”),74.182,74.18],[new Date(“2003-07-14”),74.866,74.87],[new Date(“2003-07-15”),73.947,73.95],[new Date(“2003-07-16”),74.326,74.33],[new Date(“2003-07-17”),74.479,74.48],[new Date(“2003-07-18”),74.589,74.59],[new Date(“2003-07-19”),74.589,74.59],[new Date(“2003-07-20”),74.589,74.59],[new Date(“2003-07-21”),75.019,75.02],[new Date(“2003-07-22”),74.911,74.91],[new Date(“2003-07-23”),75.514,75.51],[new Date(“2003-07-24”),74.782,74.78],[new Date(“2003-07-25”),75.350,75.35],[new Date(“2003-07-26”),75.350,75.35],[new Date(“2003-07-27”),75.350,75.35],[new Date(“2003-07-28”),74.900,74.90],[new Date(“2003-07-29”),75.069,75.07],[new Date(“2003-07-30”),75.391,75.39],[new Date(“2003-07-31″),74.761,74.76],]);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_7’));
chart.draw(data, options);
}
June, 2003
01 71.3010
02 72.0051
↘0.704, 0.99%
03 71.9515
↗0.054, 0.07%
04 71.9873
↘0.036, 0.05%
05 72.0946
↘0.107, 0.15%
06 71.6328
↗0.462, 0.64%
07 71.6328
→0.000, 0.00%
08 71.6328
→0.000, 0.00%
09 74.0845
↘2.452, 3.42%
10 74.0376
↗0.047, 0.06%
11 73.9705
↗0.067, 0.09%
12 73.9609
↗0.010, 0.01%
13 73.6357
↗0.325, 0.44%
14 73.6357
→0.000, 0.00%
15 73.6357
→0.000, 0.00%
16 73.0081
↗0.628, 0.85%
17 73.2417
↘0.234, 0.32%
18 73.7525
↘0.511, 0.70%
19 74.3580
↘0.606, 0.82%
20 73.8516
↗0.506, 0.68%
21 73.8516
→0.000, 0.00%
22 73.8516
→0.000, 0.00%
23 74.6621
↘0.810, 1.10%
24 74.0880
↗0.574, 0.77%
25 74.4233
↘0.335, 0.45%
26 74.3369
↗0.086, 0.12%
27 73.8096
↗0.527, 0.71%
28 73.8096
→0.000, 0.00%
29 73.8096
→0.000, 0.00%
30 73.7263
↗0.083, 0.11%
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(“2003-06-01”),71.301,71.30],[new Date(“2003-06-02”),72.005,72.01],[new Date(“2003-06-03”),71.952,71.95],[new Date(“2003-06-04”),71.987,71.99],[new Date(“2003-06-05”),72.095,72.09],[new Date(“2003-06-06”),71.633,71.63],[new Date(“2003-06-07”),71.633,71.63],[new Date(“2003-06-08”),71.633,71.63],[new Date(“2003-06-09”),74.085,74.08],[new Date(“2003-06-10”),74.038,74.04],[new Date(“2003-06-11”),73.971,73.97],[new Date(“2003-06-12”),73.961,73.96],[new Date(“2003-06-13”),73.636,73.64],[new Date(“2003-06-14”),73.636,73.64],[new Date(“2003-06-15”),73.636,73.64],[new Date(“2003-06-16”),73.008,73.01],[new Date(“2003-06-17”),73.242,73.24],[new Date(“2003-06-18”),73.753,73.75],[new Date(“2003-06-19”),74.358,74.36],[new Date(“2003-06-20”),73.852,73.85],[new Date(“2003-06-21”),73.852,73.85],[new Date(“2003-06-22”),73.852,73.85],[new Date(“2003-06-23”),74.662,74.66],[new Date(“2003-06-24”),74.088,74.09],[new Date(“2003-06-25”),74.423,74.42],[new Date(“2003-06-26”),74.337,74.34],[new Date(“2003-06-27”),73.810,73.81],[new Date(“2003-06-28”),73.810,73.81],[new Date(“2003-06-29”),73.810,73.81],[new Date(“2003-06-30″),73.726,73.73],]);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);
}
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(“2003-06-01”),71.301,71.30],[new Date(“2003-06-02”),72.005,72.01],[new Date(“2003-06-03”),71.952,71.95],[new Date(“2003-06-04”),71.987,71.99],[new Date(“2003-06-05”),72.095,72.09],[new Date(“2003-06-06”),71.633,71.63],[new Date(“2003-06-07”),71.633,71.63],[new Date(“2003-06-08”),71.633,71.63],[new Date(“2003-06-09”),74.085,74.08],[new Date(“2003-06-10”),74.038,74.04],[new Date(“2003-06-11”),73.971,73.97],[new Date(“2003-06-12”),73.961,73.96],[new Date(“2003-06-13”),73.636,73.64],[new Date(“2003-06-14”),73.636,73.64],[new Date(“2003-06-15”),73.636,73.64],[new Date(“2003-06-16”),73.008,73.01],[new Date(“2003-06-17”),73.242,73.24],[new Date(“2003-06-18”),73.753,73.75],[new Date(“2003-06-19”),74.358,74.36],[new Date(“2003-06-20”),73.852,73.85],[new Date(“2003-06-21”),73.852,73.85],[new Date(“2003-06-22”),73.852,73.85],[new Date(“2003-06-23”),74.662,74.66],[new Date(“2003-06-24”),74.088,74.09],[new Date(“2003-06-25”),74.423,74.42],[new Date(“2003-06-26”),74.337,74.34],[new Date(“2003-06-27”),73.810,73.81],[new Date(“2003-06-28”),73.810,73.81],[new Date(“2003-06-29”),73.810,73.81],[new Date(“2003-06-30″),73.726,73.73],]);var options = {
hAxis: {
title: ‘Date’
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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, 2003
01 73.6042
02 73.3417
↗0.262, 0.36%
03 73.3417
→0.000, 0.00%
04 73.3417
→0.000, 0.00%
05 73.3034
↗0.038, 0.05%
06 73.0111
↗0.292, 0.40%
07 72.4564
↗0.555, 0.76%
08 72.6033
↘0.147, 0.20%
09 72.2017
↗0.402, 0.55%
10 72.2017
→0.000, 0.00%
11 72.2017
→0.000, 0.00%
12 69.3833
↗2.818, 3.90%
13 67.7443
↗1.639, 2.36%
14 67.4718
↗0.272, 0.40%
15 69.6940
↘2.222, 3.29%
16 71.8274
↘2.133, 3.06%
17 71.8274
→0.000, 0.00%
18 71.8274
→0.000, 0.00%
19 71.1231
↗0.704, 0.98%
20 70.7798
↗0.343, 0.48%
21 69.9040
↗0.876, 1.24%
22 70.5880
↘0.684, 0.98%
23 70.0300
↗0.558, 0.79%
24 70.0300
→0.000, 0.00%
25 70.0300
→0.000, 0.00%
26 69.9880
↗0.042, 0.06%
27 69.6989
↗0.289, 0.41%
28 71.2844
↘1.586, 2.27%
29 70.1827
↗1.102, 1.55%
30 71.3010
↘1.118, 1.59%
31 71.3010
→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(“2003-05-01”),73.604,73.60],[new Date(“2003-05-02”),73.342,73.34],[new Date(“2003-05-03”),73.342,73.34],[new Date(“2003-05-04”),73.342,73.34],[new Date(“2003-05-05”),73.303,73.30],[new Date(“2003-05-06”),73.011,73.01],[new Date(“2003-05-07”),72.456,72.46],[new Date(“2003-05-08”),72.603,72.60],[new Date(“2003-05-09”),72.202,72.20],[new Date(“2003-05-10”),72.202,72.20],[new Date(“2003-05-11”),72.202,72.20],[new Date(“2003-05-12”),69.383,69.38],[new Date(“2003-05-13”),67.744,67.74],[new Date(“2003-05-14”),67.472,67.47],[new Date(“2003-05-15”),69.694,69.69],[new Date(“2003-05-16”),71.827,71.83],[new Date(“2003-05-17”),71.827,71.83],[new Date(“2003-05-18”),71.827,71.83],[new Date(“2003-05-19”),71.123,71.12],[new Date(“2003-05-20”),70.780,70.78],[new Date(“2003-05-21”),69.904,69.90],[new Date(“2003-05-22”),70.588,70.59],[new Date(“2003-05-23”),70.030,70.03],[new Date(“2003-05-24”),70.030,70.03],[new Date(“2003-05-25”),70.030,70.03],[new Date(“2003-05-26”),69.988,69.99],[new Date(“2003-05-27”),69.699,69.70],[new Date(“2003-05-28”),71.284,71.28],[new Date(“2003-05-29”),70.183,70.18],[new Date(“2003-05-30”),71.301,71.30],[new Date(“2003-05-31″),71.301,71.30],]);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);
}
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(“2003-05-01”),73.604,73.60],[new Date(“2003-05-02”),73.342,73.34],[new Date(“2003-05-03”),73.342,73.34],[new Date(“2003-05-04”),73.342,73.34],[new Date(“2003-05-05”),73.303,73.30],[new Date(“2003-05-06”),73.011,73.01],[new Date(“2003-05-07”),72.456,72.46],[new Date(“2003-05-08”),72.603,72.60],[new Date(“2003-05-09”),72.202,72.20],[new Date(“2003-05-10”),72.202,72.20],[new Date(“2003-05-11”),72.202,72.20],[new Date(“2003-05-12”),69.383,69.38],[new Date(“2003-05-13”),67.744,67.74],[new Date(“2003-05-14”),67.472,67.47],[new Date(“2003-05-15”),69.694,69.69],[new Date(“2003-05-16”),71.827,71.83],[new Date(“2003-05-17”),71.827,71.83],[new Date(“2003-05-18”),71.827,71.83],[new Date(“2003-05-19”),71.123,71.12],[new Date(“2003-05-20”),70.780,70.78],[new Date(“2003-05-21”),69.904,69.90],[new Date(“2003-05-22”),70.588,70.59],[new Date(“2003-05-23”),70.030,70.03],[new Date(“2003-05-24”),70.030,70.03],[new Date(“2003-05-25”),70.030,70.03],[new Date(“2003-05-26”),69.988,69.99],[new Date(“2003-05-27”),69.699,69.70],[new Date(“2003-05-28”),71.284,71.28],[new Date(“2003-05-29”),70.183,70.18],[new Date(“2003-05-30”),71.301,71.30],[new Date(“2003-05-31″),71.301,71.30],]);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, 2003
01 76.7360
02 76.9533
↘0.217, 0.28%
03 77.4171
↘0.464, 0.60%
04 77.0621
↗0.355, 0.46%
05 77.0621
→0.000, 0.00%
06 77.0621
→0.000, 0.00%
07 77.5731
↘0.511, 0.66%
08 75.9040
↗1.669, 2.15%
09 76.5788
↘0.675, 0.89%
10 75.3151
↗1.264, 1.65%
11 76.3973
↘1.082, 1.44%
12 76.3973
→0.000, 0.00%
13 76.3973
→0.000, 0.00%
14 76.3901
↗0.007, 0.01%
15 75.2223
↗1.168, 1.53%
16 76.1060
↘0.884, 1.17%
17 75.2887
↗0.817, 1.07%
18 76.5448
↘1.256, 1.67%
19 76.5448
→0.000, 0.00%
20 76.5448
→0.000, 0.00%
21 75.2887
↗1.256, 1.64%
22 75.5735
↘0.285, 0.38%
23 75.7040
↘0.131, 0.17%
24 75.4843
↗0.220, 0.29%
25 75.3271
↗0.157, 0.21%
26 75.3271
→0.000, 0.00%
27 75.3271
→0.000, 0.00%
28 74.5432
↗0.784, 1.04%
29 74.0812
↗0.462, 0.62%
30 73.6042
↗0.477, 0.64%
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(“2003-04-01”),76.736,76.74],[new Date(“2003-04-02”),76.953,76.95],[new Date(“2003-04-03”),77.417,77.42],[new Date(“2003-04-04”),77.062,77.06],[new Date(“2003-04-05”),77.062,77.06],[new Date(“2003-04-06”),77.062,77.06],[new Date(“2003-04-07”),77.573,77.57],[new Date(“2003-04-08”),75.904,75.90],[new Date(“2003-04-09”),76.579,76.58],[new Date(“2003-04-10”),75.315,75.32],[new Date(“2003-04-11”),76.397,76.40],[new Date(“2003-04-12”),76.397,76.40],[new Date(“2003-04-13”),76.397,76.40],[new Date(“2003-04-14”),76.390,76.39],[new Date(“2003-04-15”),75.222,75.22],[new Date(“2003-04-16”),76.106,76.11],[new Date(“2003-04-17”),75.289,75.29],[new Date(“2003-04-18”),76.545,76.54],[new Date(“2003-04-19”),76.545,76.54],[new Date(“2003-04-20”),76.545,76.54],[new Date(“2003-04-21”),75.289,75.29],[new Date(“2003-04-22”),75.573,75.57],[new Date(“2003-04-23”),75.704,75.70],[new Date(“2003-04-24”),75.484,75.48],[new Date(“2003-04-25”),75.327,75.33],[new Date(“2003-04-26”),75.327,75.33],[new Date(“2003-04-27”),75.327,75.33],[new Date(“2003-04-28”),74.543,74.54],[new Date(“2003-04-29”),74.081,74.08],[new Date(“2003-04-30″),73.604,73.60],]);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);
}
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(“2003-04-01”),76.736,76.74],[new Date(“2003-04-02”),76.953,76.95],[new Date(“2003-04-03”),77.417,77.42],[new Date(“2003-04-04”),77.062,77.06],[new Date(“2003-04-05”),77.062,77.06],[new Date(“2003-04-06”),77.062,77.06],[new Date(“2003-04-07”),77.573,77.57],[new Date(“2003-04-08”),75.904,75.90],[new Date(“2003-04-09”),76.579,76.58],[new Date(“2003-04-10”),75.315,75.32],[new Date(“2003-04-11”),76.397,76.40],[new Date(“2003-04-12”),76.397,76.40],[new Date(“2003-04-13”),76.397,76.40],[new Date(“2003-04-14”),76.390,76.39],[new Date(“2003-04-15”),75.222,75.22],[new Date(“2003-04-16”),76.106,76.11],[new Date(“2003-04-17”),75.289,75.29],[new Date(“2003-04-18”),76.545,76.54],[new Date(“2003-04-19”),76.545,76.54],[new Date(“2003-04-20”),76.545,76.54],[new Date(“2003-04-21”),75.289,75.29],[new Date(“2003-04-22”),75.573,75.57],[new Date(“2003-04-23”),75.704,75.70],[new Date(“2003-04-24”),75.484,75.48],[new Date(“2003-04-25”),75.327,75.33],[new Date(“2003-04-26”),75.327,75.33],[new Date(“2003-04-27”),75.327,75.33],[new Date(“2003-04-28”),74.543,74.54],[new Date(“2003-04-29”),74.081,74.08],[new Date(“2003-04-30″),73.604,73.60],]);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, 2003
01 76.6391
02 76.6391
→0.000, 0.00%
03 76.5749
↗0.064, 0.08%
04 75.8672
↗0.708, 0.92%
05 75.9935
↘0.126, 0.17%
06 76.0039
↘0.010, 0.01%
07 75.7434
↗0.260, 0.34%
08 75.7434
→0.000, 0.00%
09 75.7434
→0.000, 0.00%
10 75.8566
↘0.113, 0.15%
11 75.7890
↗0.068, 0.09%
12 75.9677
↘0.179, 0.24%
13 76.5427
↘0.575, 0.76%
14 76.8621
↘0.319, 0.42%
15 76.8621
→0.000, 0.00%
16 76.8621
→0.000, 0.00%
17 76.7682
↗0.094, 0.12%
18 77.8472
↘1.079, 1.41%
19 77.9073
↘0.060, 0.08%
20 77.8248
↗0.083, 0.11%
21 77.8998
↘0.075, 0.10%
22 77.8998
→0.000, 0.00%
23 77.8998
→0.000, 0.00%
24 77.6681
↗0.232, 0.30%
25 77.4575
↗0.211, 0.27%
26 77.5459
↘0.088, 0.11%
27 77.3403
↗0.206, 0.27%
28 77.6083
↘0.268, 0.35%
29 77.6083
→0.000, 0.00%
30 77.6083
→0.000, 0.00%
31 76.7219
↗0.886, 1.14%
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(“2003-03-01”),76.639,76.64],[new Date(“2003-03-02”),76.639,76.64],[new Date(“2003-03-03”),76.575,76.57],[new Date(“2003-03-04”),75.867,75.87],[new Date(“2003-03-05”),75.994,75.99],[new Date(“2003-03-06”),76.004,76.00],[new Date(“2003-03-07”),75.743,75.74],[new Date(“2003-03-08”),75.743,75.74],[new Date(“2003-03-09”),75.743,75.74],[new Date(“2003-03-10”),75.857,75.86],[new Date(“2003-03-11”),75.789,75.79],[new Date(“2003-03-12”),75.968,75.97],[new Date(“2003-03-13”),76.543,76.54],[new Date(“2003-03-14”),76.862,76.86],[new Date(“2003-03-15”),76.862,76.86],[new Date(“2003-03-16”),76.862,76.86],[new Date(“2003-03-17”),76.768,76.77],[new Date(“2003-03-18”),77.847,77.85],[new Date(“2003-03-19”),77.907,77.91],[new Date(“2003-03-20”),77.825,77.82],[new Date(“2003-03-21”),77.900,77.90],[new Date(“2003-03-22”),77.900,77.90],[new Date(“2003-03-23”),77.900,77.90],[new Date(“2003-03-24”),77.668,77.67],[new Date(“2003-03-25”),77.458,77.46],[new Date(“2003-03-26”),77.546,77.55],[new Date(“2003-03-27”),77.340,77.34],[new Date(“2003-03-28”),77.608,77.61],[new Date(“2003-03-29”),77.608,77.61],[new Date(“2003-03-30”),77.608,77.61],[new Date(“2003-03-31″),76.722,76.72],]);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);
}
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(“2003-03-01”),76.639,76.64],[new Date(“2003-03-02”),76.639,76.64],[new Date(“2003-03-03”),76.575,76.57],[new Date(“2003-03-04”),75.867,75.87],[new Date(“2003-03-05”),75.994,75.99],[new Date(“2003-03-06”),76.004,76.00],[new Date(“2003-03-07”),75.743,75.74],[new Date(“2003-03-08”),75.743,75.74],[new Date(“2003-03-09”),75.743,75.74],[new Date(“2003-03-10”),75.857,75.86],[new Date(“2003-03-11”),75.789,75.79],[new Date(“2003-03-12”),75.968,75.97],[new Date(“2003-03-13”),76.543,76.54],[new Date(“2003-03-14”),76.862,76.86],[new Date(“2003-03-15”),76.862,76.86],[new Date(“2003-03-16”),76.862,76.86],[new Date(“2003-03-17”),76.768,76.77],[new Date(“2003-03-18”),77.847,77.85],[new Date(“2003-03-19”),77.907,77.91],[new Date(“2003-03-20”),77.825,77.82],[new Date(“2003-03-21”),77.900,77.90],[new Date(“2003-03-22”),77.900,77.90],[new Date(“2003-03-23”),77.900,77.90],[new Date(“2003-03-24”),77.668,77.67],[new Date(“2003-03-25”),77.458,77.46],[new Date(“2003-03-26”),77.546,77.55],[new Date(“2003-03-27”),77.340,77.34],[new Date(“2003-03-28”),77.608,77.61],[new Date(“2003-03-29”),77.608,77.61],[new Date(“2003-03-30”),77.608,77.61],[new Date(“2003-03-31″),76.722,76.72],]);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, 2003
01 77.6121
02 77.6121
→0.000, 0.00%
03 77.4515
↗0.161, 0.21%
04 77.0052
↗0.446, 0.58%
05 76.9412
↗0.064, 0.08%
06 76.7418
↗0.199, 0.26%
07 76.6141
↗0.128, 0.17%
08 76.6141
→0.000, 0.00%
09 76.6141
→0.000, 0.00%
10 76.5465
↗0.068, 0.09%
11 76.9121
↘0.366, 0.48%
12 76.8219
↗0.090, 0.12%
13 76.7249
↗0.097, 0.13%
14 76.8934
↘0.169, 0.22%
15 76.8934
→0.000, 0.00%
16 76.8934
→0.000, 0.00%
17 77.5581
↘0.665, 0.86%
18 76.8832
↗0.675, 0.87%
19 76.8724
↗0.011, 0.01%
20 76.7070
↗0.165, 0.22%
21 76.4403
↗0.267, 0.35%
22 76.4403
→0.000, 0.00%
23 76.4403
→0.000, 0.00%
24 76.8579
↘0.418, 0.55%
25 76.6676
↗0.190, 0.25%
26 76.7428
↘0.075, 0.10%
27 76.4969
↗0.246, 0.32%
28 76.6391
↘0.142, 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(“2003-02-01”),77.612,77.61],[new Date(“2003-02-02”),77.612,77.61],[new Date(“2003-02-03”),77.452,77.45],[new Date(“2003-02-04”),77.005,77.01],[new Date(“2003-02-05”),76.941,76.94],[new Date(“2003-02-06”),76.742,76.74],[new Date(“2003-02-07”),76.614,76.61],[new Date(“2003-02-08”),76.614,76.61],[new Date(“2003-02-09”),76.614,76.61],[new Date(“2003-02-10”),76.547,76.55],[new Date(“2003-02-11”),76.912,76.91],[new Date(“2003-02-12”),76.822,76.82],[new Date(“2003-02-13”),76.725,76.72],[new Date(“2003-02-14”),76.893,76.89],[new Date(“2003-02-15”),76.893,76.89],[new Date(“2003-02-16”),76.893,76.89],[new Date(“2003-02-17”),77.558,77.56],[new Date(“2003-02-18”),76.883,76.88],[new Date(“2003-02-19”),76.872,76.87],[new Date(“2003-02-20”),76.707,76.71],[new Date(“2003-02-21”),76.440,76.44],[new Date(“2003-02-22”),76.440,76.44],[new Date(“2003-02-23”),76.440,76.44],[new Date(“2003-02-24”),76.858,76.86],[new Date(“2003-02-25”),76.668,76.67],[new Date(“2003-02-26”),76.743,76.74],[new Date(“2003-02-27”),76.497,76.50],[new Date(“2003-02-28″),76.639,76.64],]);var options = {
hAxis: {
title: ‘Date’
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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);
}
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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January, 2003
01 78.2755
02 77.2227
↗1.053, 1.34%
03 77.7193
↘0.497, 0.64%
04 77.7193
→0.000, 0.00%
05 77.7193
→0.000, 0.00%
06 77.3662
↗0.353, 0.45%
07 77.7207
↘0.354, 0.46%
08 77.9009
↘0.180, 0.23%
09 77.4166
↗0.484, 0.62%
10 77.4314
↘0.015, 0.02%
11 77.4314
→0.000, 0.00%
12 77.4314
→0.000, 0.00%
13 76.9596
↗0.472, 0.61%
14 76.6114
↗0.348, 0.45%
15 77.0913
↘0.480, 0.63%
16 77.2656
↘0.174, 0.23%
17 76.9900
↗0.276, 0.36%
18 76.9900
→0.000, 0.00%
19 76.9900
→0.000, 0.00%
20 77.3662
↘0.376, 0.49%
21 77.8019
↘0.436, 0.56%
22 77.8206
↘0.019, 0.02%
23 77.7426
↗0.078, 0.10%
24 78.0602
↘0.318, 0.41%
25 78.0602
→0.000, 0.00%
26 78.0602
→0.000, 0.00%
27 77.7099
↗0.350, 0.45%
28 77.6415
↗0.068, 0.09%
29 77.5691
↗0.072, 0.09%
30 77.5669
↗0.002, 0.00%
31 77.6121
↘0.045, 0.06%
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