Pakistani Rupee PKR 2014 Conversion Rates

  • Opening Value is 105.412400 PKR per Dollar
  • Closing Value is 100.685000 PKR per Dollar
  • Change in Value during 2014 is -4.7274 which is -4.48%
  • Best Performance is on 2014-04-15 with 96.188930 PKR per Dollar
  • Lowest Performance is on 2014-01-14 with 105.687600 PKR per Dollar
  • Average Value is 101.0151 PKR per Dollar
  • Swing Between the higest and the lowest is 9.4987 per Dollar, that is 9.01% compared to the opening value.

USD to PKR Conversion Rates – 12 months

Date 1 USD =
2014-12-31 100.6850 PKR
2014-11-30 101.9148 PKR
2014-10-31 103.0916 PKR
2014-09-30 102.5615 PKR
2014-08-31 101.8032 PKR
2014-07-31 98.7551 PKR
2014-06-30 98.7526 PKR
2014-05-31 98.7146 PKR
2014-04-30 98.5450 PKR
2014-03-31 98.1303 PKR
2014-02-28 104.9727 PKR
2014-01-31 105.4954 PKR
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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‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2014

01      101.9170
02      101.7820
↗0.135, 0.13%
03      101.6880
↗0.094, 0.09%
04      101.5804
↗0.108, 0.11%
05      101.4429
↗0.137, 0.14%
06      101.3397
↗0.103, 0.10%
07      101.4506
↘0.111, 0.11%
08      101.2926
↗0.158, 0.16%
09      101.1517
↗0.141, 0.14%
10      100.7447
↗0.407, 0.40%
11      100.7130
↗0.032, 0.03%
12      100.4996
↗0.213, 0.21%
13      100.5980
↘0.098, 0.10%
14      100.5546
↗0.043, 0.04%
15      100.3804
↗0.174, 0.17%
16      100.4639
↘0.084, 0.08%
17      100.6366
↘0.173, 0.17%
18      100.4995
↗0.137, 0.14%
19      100.4408
↗0.059, 0.06%
20      100.3170
↗0.124, 0.12%
21      100.0113
↗0.306, 0.30%
22      100.3305
↘0.319, 0.32%
23      100.6474
↘0.317, 0.32%
24      100.5869
↗0.060, 0.06%
25      100.5250
↗0.062, 0.06%
26      100.7080
↘0.183, 0.18%
27      100.7740
↘0.066, 0.07%
28      100.7620
↗0.012, 0.01%
29      100.9835
↘0.222, 0.22%
30      100.7049
↗0.279, 0.28%
31      100.6850
↗0.020, 0.02%
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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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
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November, 2014

01      102.8780
02      102.9900
↘0.112, 0.11%
03      103.0780
↘0.088, 0.09%
04      102.7481
↗0.330, 0.32%
05      102.7439
↗0.004, 0.00%
06      102.7221
↗0.022, 0.02%
07      102.3295
↗0.393, 0.38%
08      102.4389
↘0.109, 0.11%
09      101.7513
↗0.688, 0.67%
10      101.6630
↗0.088, 0.09%
11      101.5287
↗0.134, 0.13%
12      101.7602
↘0.232, 0.23%
13      101.5851
↗0.175, 0.17%
14      101.7012
↘0.116, 0.11%
15      101.6772
↗0.024, 0.02%
16      101.2452
↗0.432, 0.42%
17      101.8606
↘0.615, 0.61%
18      101.6041
↗0.257, 0.25%
19      101.6586
↘0.055, 0.05%
20      101.5661
↗0.092, 0.09%
21      101.6034
↘0.037, 0.04%
22      101.5797
↗0.024, 0.02%
23      101.6077
↘0.028, 0.03%
24      101.5565
↗0.051, 0.05%
25      101.7449
↘0.188, 0.19%
26      101.5545
↗0.190, 0.19%
27      101.6951
↘0.141, 0.14%
28      101.7372
↘0.042, 0.04%
29      101.8015
↘0.064, 0.06%
30      101.9148
↘0.113, 0.11%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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‘colors’:[”]
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chart.draw(data, options);
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October, 2014

01      102.5146
02      102.5695
↘0.055, 0.05%
03      102.5089
↗0.061, 0.06%
04      102.5221
↘0.013, 0.01%
05      103.0160
↘0.494, 0.48%
06      102.3340
↗0.682, 0.66%
07      102.3526
↘0.019, 0.02%
08      102.3111
↗0.041, 0.04%
09      102.7982
↘0.487, 0.48%
10      102.7719
↗0.026, 0.03%
11      102.9110
↘0.139, 0.14%
12      102.9670
↘0.056, 0.05%
13      102.7030
↗0.264, 0.26%
14      102.8819
↘0.179, 0.17%
15      102.2798
↗0.602, 0.59%
16      102.6920
↘0.412, 0.40%
17      102.6970
↘0.005, 0.00%
18      102.8105
↘0.113, 0.11%
19      102.8747
↘0.064, 0.06%
20      102.8643
↗0.010, 0.01%
21      103.0829
↘0.219, 0.21%
22      102.9183
↗0.165, 0.16%
23      103.0100
↘0.092, 0.09%
24      103.0214
↘0.011, 0.01%
25      102.9995
↗0.022, 0.02%
26      102.8285
↗0.171, 0.17%
27      102.8347
↘0.006, 0.01%
28      102.8900
↘0.055, 0.05%
29      103.3181
↘0.428, 0.42%
30      102.9683
↗0.350, 0.34%
31      103.0916
↘0.123, 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(“2014-10-01”),102.515,102.51],[new Date(“2014-10-02”),102.570,102.57],[new Date(“2014-10-03”),102.509,102.51],[new Date(“2014-10-04”),102.522,102.52],[new Date(“2014-10-05”),103.016,103.02],[new Date(“2014-10-06”),102.334,102.33],[new Date(“2014-10-07”),102.353,102.35],[new Date(“2014-10-08”),102.311,102.31],[new Date(“2014-10-09”),102.798,102.80],[new Date(“2014-10-10”),102.772,102.77],[new Date(“2014-10-11”),102.911,102.91],[new Date(“2014-10-12”),102.967,102.97],[new Date(“2014-10-13”),102.703,102.70],[new Date(“2014-10-14”),102.882,102.88],[new Date(“2014-10-15”),102.280,102.28],[new Date(“2014-10-16”),102.692,102.69],[new Date(“2014-10-17”),102.697,102.70],[new Date(“2014-10-18”),102.810,102.81],[new Date(“2014-10-19”),102.875,102.87],[new Date(“2014-10-20”),102.864,102.86],[new Date(“2014-10-21”),103.083,103.08],[new Date(“2014-10-22”),102.918,102.92],[new Date(“2014-10-23”),103.010,103.01],[new Date(“2014-10-24”),103.021,103.02],[new Date(“2014-10-25”),103.000,103.00],[new Date(“2014-10-26”),102.829,102.83],[new Date(“2014-10-27”),102.835,102.83],[new Date(“2014-10-28”),102.890,102.89],[new Date(“2014-10-29”),103.318,103.32],[new Date(“2014-10-30”),102.968,102.97],[new Date(“2014-10-31″),103.092,103.09],]);var options = {
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
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September, 2014

01      102.2180
02      102.1748
↗0.043, 0.04%
03      102.2075
↘0.033, 0.03%
04      102.6911
↘0.484, 0.47%
05      102.1183
↗0.573, 0.56%
06      102.2861
↘0.168, 0.16%
07      102.1217
↗0.164, 0.16%
08      102.0530
↗0.069, 0.07%
09      101.8767
↗0.176, 0.17%
10      102.1397
↘0.263, 0.26%
11      102.1869
↘0.047, 0.05%
12      102.3257
↘0.139, 0.14%
13      102.3287
↘0.003, 0.00%
14      102.2876
↗0.041, 0.04%
15      102.7863
↘0.499, 0.49%
16      102.6788
↗0.108, 0.10%
17      103.0619
↘0.383, 0.37%
18      102.5880
↗0.474, 0.46%
19      102.7529
↘0.165, 0.16%
20      102.6012
↗0.152, 0.15%
21      102.8525
↘0.251, 0.24%
22      102.7600
↗0.092, 0.09%
23      102.8084
↘0.048, 0.05%
24      102.9312
↘0.123, 0.12%
25      102.6773
↗0.254, 0.25%
26      102.9131
↘0.236, 0.23%
27      102.8243
↗0.089, 0.09%
28      103.0283
↘0.204, 0.20%
29      102.7970
↗0.231, 0.22%
30      102.5615
↗0.235, 0.23%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-09-01”),102.218,102.22],[new Date(“2014-09-02”),102.175,102.17],[new Date(“2014-09-03”),102.208,102.21],[new Date(“2014-09-04”),102.691,102.69],[new Date(“2014-09-05”),102.118,102.12],[new Date(“2014-09-06”),102.286,102.29],[new Date(“2014-09-07”),102.122,102.12],[new Date(“2014-09-08”),102.053,102.05],[new Date(“2014-09-09”),101.877,101.88],[new Date(“2014-09-10”),102.140,102.14],[new Date(“2014-09-11”),102.187,102.19],[new Date(“2014-09-12”),102.326,102.33],[new Date(“2014-09-13”),102.329,102.33],[new Date(“2014-09-14”),102.288,102.29],[new Date(“2014-09-15”),102.786,102.79],[new Date(“2014-09-16”),102.679,102.68],[new Date(“2014-09-17”),103.062,103.06],[new Date(“2014-09-18”),102.588,102.59],[new Date(“2014-09-19”),102.753,102.75],[new Date(“2014-09-20”),102.601,102.60],[new Date(“2014-09-21”),102.852,102.85],[new Date(“2014-09-22”),102.760,102.76],[new Date(“2014-09-23”),102.808,102.81],[new Date(“2014-09-24”),102.931,102.93],[new Date(“2014-09-25”),102.677,102.68],[new Date(“2014-09-26”),102.913,102.91],[new Date(“2014-09-27”),102.824,102.82],[new Date(“2014-09-28”),103.028,103.03],[new Date(“2014-09-29”),102.797,102.80],[new Date(“2014-09-30″),102.562,102.56],]);var options = {
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‘colors’:[”]
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chart.draw(data, options);
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August, 2014

01      98.7437
02      98.7459
↘0.002, 0.00%
03      98.7557
↘0.010, 0.01%
04      98.8023
↘0.047, 0.05%
05      98.8292
↘0.027, 0.03%
06      98.8350
↘0.006, 0.01%
07      98.8612
↘0.026, 0.03%
08      98.7849
↗0.076, 0.08%
09      98.8299
↘0.045, 0.05%
10      98.8306
↘0.001, 0.00%
11      98.9723
↘0.142, 0.14%
12      99.0067
↘0.034, 0.03%
13      99.2973
↘0.291, 0.29%
14      99.4499
↘0.153, 0.15%
15      99.8062
↘0.356, 0.36%
16      99.8589
↘0.053, 0.05%
17      99.8664
↘0.007, 0.01%
18      99.9379
↘0.072, 0.07%
19      100.2939
↘0.356, 0.36%
20      100.8854
↘0.592, 0.59%
21      100.9175
↘0.032, 0.03%
22      101.2167
↘0.299, 0.30%
23      101.1858
↗0.031, 0.03%
24      101.2850
↘0.099, 0.10%
25      101.1713
↗0.114, 0.11%
26      101.7882
↘0.617, 0.61%
27      101.3713
↗0.417, 0.41%
28      101.8549
↘0.484, 0.48%
29      101.6864
↗0.168, 0.17%
30      101.7690
↘0.083, 0.08%
31      101.8032
↘0.034, 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”);
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
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July, 2014

01      98.6243
02      98.5977
↗0.027, 0.03%
03      98.5853
↗0.012, 0.01%
04      98.6554
↘0.070, 0.07%
05      98.6904
↘0.035, 0.04%
06      98.6650
↗0.025, 0.03%
07      98.7714
↘0.106, 0.11%
08      98.8014
↘0.030, 0.03%
09      98.7386
↗0.063, 0.06%
10      98.6657
↗0.073, 0.07%
11      98.6451
↗0.021, 0.02%
12      98.6675
↘0.022, 0.02%
13      98.6889
↘0.021, 0.02%
14      98.7558
↘0.067, 0.07%
15      98.7655
↘0.010, 0.01%
16      98.7835
↘0.018, 0.02%
17      98.7828
↗0.001, 0.00%
18      98.7843
↘0.002, 0.00%
19      98.6689
↗0.115, 0.12%
20      98.6611
↗0.008, 0.01%
21      98.7942
↘0.133, 0.13%
22      98.7931
↗0.001, 0.00%
23      98.7703
↗0.023, 0.02%
24      98.7276
↗0.043, 0.04%
25      98.7177
↗0.010, 0.01%
26      98.7288
↘0.011, 0.01%
27      98.7077
↗0.021, 0.02%
28      98.7715
↘0.064, 0.06%
29      98.8136
↘0.042, 0.04%
30      98.7342
↗0.079, 0.08%
31      98.7551
↘0.021, 0.02%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-07-01”),98.624,98.62],[new Date(“2014-07-02”),98.598,98.60],[new Date(“2014-07-03”),98.585,98.59],[new Date(“2014-07-04”),98.655,98.66],[new Date(“2014-07-05”),98.690,98.69],[new Date(“2014-07-06”),98.665,98.66],[new Date(“2014-07-07”),98.771,98.77],[new Date(“2014-07-08”),98.801,98.80],[new Date(“2014-07-09”),98.739,98.74],[new Date(“2014-07-10”),98.666,98.67],[new Date(“2014-07-11”),98.645,98.65],[new Date(“2014-07-12”),98.667,98.67],[new Date(“2014-07-13”),98.689,98.69],[new Date(“2014-07-14”),98.756,98.76],[new Date(“2014-07-15”),98.765,98.77],[new Date(“2014-07-16”),98.784,98.78],[new Date(“2014-07-17”),98.783,98.78],[new Date(“2014-07-18”),98.784,98.78],[new Date(“2014-07-19”),98.669,98.67],[new Date(“2014-07-20”),98.661,98.66],[new Date(“2014-07-21”),98.794,98.79],[new Date(“2014-07-22”),98.793,98.79],[new Date(“2014-07-23”),98.770,98.77],[new Date(“2014-07-24”),98.728,98.73],[new Date(“2014-07-25”),98.718,98.72],[new Date(“2014-07-26”),98.729,98.73],[new Date(“2014-07-27”),98.708,98.71],[new Date(“2014-07-28”),98.772,98.77],[new Date(“2014-07-29”),98.814,98.81],[new Date(“2014-07-30”),98.734,98.73],[new Date(“2014-07-31″),98.755,98.76],]);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, 2014

01      98.7194
02      98.5956
↗0.124, 0.13%
03      98.6423
↘0.047, 0.05%
04      98.5156
↗0.127, 0.13%
05      98.5199
↘0.004, 0.00%
06      98.4849
↗0.035, 0.04%
07      98.4383
↗0.047, 0.05%
08      98.4833
↘0.045, 0.05%
09      98.5731
↘0.090, 0.09%
10      98.5698
↗0.003, 0.00%
11      98.5880
↘0.018, 0.02%
12      98.4456
↗0.142, 0.14%
13      98.4444
↗0.001, 0.00%
14      98.4251
↗0.019, 0.02%
15      98.4290
↘0.004, 0.00%
16      98.6439
↘0.215, 0.22%
17      98.4584
↗0.185, 0.19%
18      98.3718
↗0.087, 0.09%
19      98.3594
↗0.012, 0.01%
20      98.3306
↗0.029, 0.03%
21      98.3624
↘0.032, 0.03%
22      98.3753
↘0.013, 0.01%
23      98.5156
↘0.140, 0.14%
24      98.5750
↘0.059, 0.06%
25      98.7048
↘0.130, 0.13%
26      98.6955
↗0.009, 0.01%
27      98.6543
↗0.041, 0.04%
28      98.6888
↘0.034, 0.03%
29      98.7053
↘0.017, 0.02%
30      98.7526
↘0.047, 0.05%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-06-01”),98.719,98.72],[new Date(“2014-06-02”),98.596,98.60],[new Date(“2014-06-03”),98.642,98.64],[new Date(“2014-06-04”),98.516,98.52],[new Date(“2014-06-05”),98.520,98.52],[new Date(“2014-06-06”),98.485,98.48],[new Date(“2014-06-07”),98.438,98.44],[new Date(“2014-06-08”),98.483,98.48],[new Date(“2014-06-09”),98.573,98.57],[new Date(“2014-06-10”),98.570,98.57],[new Date(“2014-06-11”),98.588,98.59],[new Date(“2014-06-12”),98.446,98.45],[new Date(“2014-06-13”),98.444,98.44],[new Date(“2014-06-14”),98.425,98.43],[new Date(“2014-06-15”),98.429,98.43],[new Date(“2014-06-16”),98.644,98.64],[new Date(“2014-06-17”),98.458,98.46],[new Date(“2014-06-18”),98.372,98.37],[new Date(“2014-06-19”),98.359,98.36],[new Date(“2014-06-20”),98.331,98.33],[new Date(“2014-06-21”),98.362,98.36],[new Date(“2014-06-22”),98.375,98.38],[new Date(“2014-06-23”),98.516,98.52],[new Date(“2014-06-24”),98.575,98.58],[new Date(“2014-06-25”),98.705,98.70],[new Date(“2014-06-26”),98.695,98.70],[new Date(“2014-06-27”),98.654,98.65],[new Date(“2014-06-28”),98.689,98.69],[new Date(“2014-06-29”),98.705,98.71],[new Date(“2014-06-30″),98.753,98.75],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2014

01      98.6402
02      98.7078
↘0.068, 0.07%
03      98.7353
↘0.028, 0.03%
04      98.8101
↘0.075, 0.08%
05      98.8299
↘0.020, 0.02%
06      98.7006
↗0.129, 0.13%
07      98.3728
↗0.328, 0.33%
08      98.5967
↘0.224, 0.23%
09      98.5125
↗0.084, 0.09%
10      98.6152
↘0.103, 0.10%
11      98.6233
↘0.008, 0.01%
12      98.5532
↗0.070, 0.07%
13      98.6712
↘0.118, 0.12%
14      98.6808
↘0.010, 0.01%
15      98.6646
↗0.016, 0.02%
16      98.3579
↗0.307, 0.31%
17      98.3255
↗0.032, 0.03%
18      98.3701
↘0.045, 0.05%
19      98.6005
↘0.230, 0.23%
20      98.7472
↘0.147, 0.15%
21      98.7876
↘0.040, 0.04%
22      98.8064
↘0.019, 0.02%
23      98.8239
↘0.017, 0.02%
24      98.8413
↘0.017, 0.02%
25      98.8156
↗0.026, 0.03%
26      98.8489
↘0.033, 0.03%
27      98.7335
↗0.115, 0.12%
28      98.7321
↗0.001, 0.00%
29      98.7185
↗0.014, 0.01%
30      98.7178
↗0.001, 0.00%
31      98.7146
↗0.003, 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(“2014-05-01”),98.640,98.64],[new Date(“2014-05-02”),98.708,98.71],[new Date(“2014-05-03”),98.735,98.74],[new Date(“2014-05-04”),98.810,98.81],[new Date(“2014-05-05”),98.830,98.83],[new Date(“2014-05-06”),98.701,98.70],[new Date(“2014-05-07”),98.373,98.37],[new Date(“2014-05-08”),98.597,98.60],[new Date(“2014-05-09”),98.513,98.51],[new Date(“2014-05-10”),98.615,98.62],[new Date(“2014-05-11”),98.623,98.62],[new Date(“2014-05-12”),98.553,98.55],[new Date(“2014-05-13”),98.671,98.67],[new Date(“2014-05-14”),98.681,98.68],[new Date(“2014-05-15”),98.665,98.66],[new Date(“2014-05-16”),98.358,98.36],[new Date(“2014-05-17”),98.326,98.33],[new Date(“2014-05-18”),98.370,98.37],[new Date(“2014-05-19”),98.600,98.60],[new Date(“2014-05-20”),98.747,98.75],[new Date(“2014-05-21”),98.788,98.79],[new Date(“2014-05-22”),98.806,98.81],[new Date(“2014-05-23”),98.824,98.82],[new Date(“2014-05-24”),98.841,98.84],[new Date(“2014-05-25”),98.816,98.82],[new Date(“2014-05-26”),98.849,98.85],[new Date(“2014-05-27”),98.733,98.73],[new Date(“2014-05-28”),98.732,98.73],[new Date(“2014-05-29”),98.718,98.72],[new Date(“2014-05-30”),98.718,98.72],[new Date(“2014-05-31″),98.715,98.71],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2014

01      98.1759
02      98.1690
↗0.007, 0.01%
03      98.1455
↗0.024, 0.02%
04      98.1478
↘0.002, 0.00%
05      98.1351
↗0.013, 0.01%
06      98.1314
↗0.004, 0.00%
07      98.1492
↘0.018, 0.02%
08      97.7403
↗0.409, 0.42%
09      97.5238
↗0.216, 0.22%
10      97.2850
↗0.239, 0.24%
11      97.0390
↗0.246, 0.25%
12      96.9747
↗0.064, 0.07%
13      96.6661
↗0.309, 0.32%
14      96.2037
↗0.462, 0.48%
15      96.1889
↗0.015, 0.02%
16      96.4036
↘0.215, 0.22%
17      96.6154
↘0.212, 0.22%
18      97.1871
↘0.572, 0.59%
19      97.1520
↗0.035, 0.04%
20      97.1740
↘0.022, 0.02%
21      97.4172
↘0.243, 0.25%
22      97.6383
↘0.221, 0.23%
23      97.6113
↗0.027, 0.03%
24      97.9637
↘0.352, 0.36%
25      98.0849
↘0.121, 0.12%
26      98.0802
↗0.005, 0.00%
27      98.1145
↘0.034, 0.03%
28      98.1537
↘0.039, 0.04%
29      98.3524
↘0.199, 0.20%
30      98.5450
↘0.193, 0.20%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-04-01”),98.176,98.18],[new Date(“2014-04-02”),98.169,98.17],[new Date(“2014-04-03”),98.145,98.15],[new Date(“2014-04-04”),98.148,98.15],[new Date(“2014-04-05”),98.135,98.14],[new Date(“2014-04-06”),98.131,98.13],[new Date(“2014-04-07”),98.149,98.15],[new Date(“2014-04-08”),97.740,97.74],[new Date(“2014-04-09”),97.524,97.52],[new Date(“2014-04-10”),97.285,97.29],[new Date(“2014-04-11”),97.039,97.04],[new Date(“2014-04-12”),96.975,96.97],[new Date(“2014-04-13”),96.666,96.67],[new Date(“2014-04-14”),96.204,96.20],[new Date(“2014-04-15”),96.189,96.19],[new Date(“2014-04-16”),96.404,96.40],[new Date(“2014-04-17”),96.615,96.62],[new Date(“2014-04-18”),97.187,97.19],[new Date(“2014-04-19”),97.152,97.15],[new Date(“2014-04-20”),97.174,97.17],[new Date(“2014-04-21”),97.417,97.42],[new Date(“2014-04-22”),97.638,97.64],[new Date(“2014-04-23”),97.611,97.61],[new Date(“2014-04-24”),97.964,97.96],[new Date(“2014-04-25”),98.085,98.08],[new Date(“2014-04-26”),98.080,98.08],[new Date(“2014-04-27”),98.114,98.11],[new Date(“2014-04-28”),98.154,98.15],[new Date(“2014-04-29”),98.352,98.35],[new Date(“2014-04-30″),98.545,98.55],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2014

01      104.8868
02      104.9270
↘0.040, 0.04%
03      104.9145
↗0.013, 0.01%
04      104.8957
↗0.019, 0.02%
05      104.4571
↗0.439, 0.42%
06      104.2423
↗0.215, 0.21%
07      103.1898
↗1.052, 1.01%
08      102.9769
↗0.213, 0.21%
09      102.9980
↘0.021, 0.02%
10      101.3785
↗1.620, 1.57%
11      100.3750
↗1.003, 0.99%
12      98.4749
↗1.900, 1.89%
13      98.9732
↘0.498, 0.51%
14      99.0066
↘0.033, 0.03%
15      99.2796
↘0.273, 0.28%
16      99.2047
↗0.075, 0.08%
17      99.1430
↗0.062, 0.06%
18      99.0377
↗0.105, 0.11%
19      98.7861
↗0.252, 0.25%
20      98.2890
↗0.497, 0.50%
21      98.1892
↗0.100, 0.10%
22      98.0686
↗0.121, 0.12%
23      97.9801
↗0.089, 0.09%
24      97.8960
↗0.084, 0.09%
25      97.6007
↗0.295, 0.30%
26      97.8786
↘0.278, 0.28%
27      97.8659
↗0.013, 0.01%
28      98.0454
↘0.180, 0.18%
29      98.0631
↘0.018, 0.02%
30      97.9886
↗0.074, 0.08%
31      98.1303
↘0.142, 0.14%
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(“2014-03-01”),104.887,104.89],[new Date(“2014-03-02”),104.927,104.93],[new Date(“2014-03-03”),104.915,104.91],[new Date(“2014-03-04”),104.896,104.90],[new Date(“2014-03-05”),104.457,104.46],[new Date(“2014-03-06”),104.242,104.24],[new Date(“2014-03-07”),103.190,103.19],[new Date(“2014-03-08”),102.977,102.98],[new Date(“2014-03-09”),102.998,103.00],[new Date(“2014-03-10”),101.378,101.38],[new Date(“2014-03-11”),100.375,100.38],[new Date(“2014-03-12”),98.475,98.47],[new Date(“2014-03-13”),98.973,98.97],[new Date(“2014-03-14”),99.007,99.01],[new Date(“2014-03-15”),99.280,99.28],[new Date(“2014-03-16”),99.205,99.20],[new Date(“2014-03-17”),99.143,99.14],[new Date(“2014-03-18”),99.038,99.04],[new Date(“2014-03-19”),98.786,98.79],[new Date(“2014-03-20”),98.289,98.29],[new Date(“2014-03-21”),98.189,98.19],[new Date(“2014-03-22”),98.069,98.07],[new Date(“2014-03-23”),97.980,97.98],[new Date(“2014-03-24”),97.896,97.90],[new Date(“2014-03-25”),97.601,97.60],[new Date(“2014-03-26”),97.879,97.88],[new Date(“2014-03-27”),97.866,97.87],[new Date(“2014-03-28”),98.045,98.05],[new Date(“2014-03-29”),98.063,98.06],[new Date(“2014-03-30”),97.989,97.99],[new Date(“2014-03-31″),98.130,98.13],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2014

01      105.5539
02      105.6840
↘0.130, 0.12%
03      105.6090
↗0.075, 0.07%
04      105.4846
↗0.124, 0.12%
05      105.4642
↗0.020, 0.02%
06      105.4405
↗0.024, 0.02%
07      105.4113
↗0.029, 0.03%
08      105.3703
↗0.041, 0.04%
09      105.2054
↗0.165, 0.16%
10      105.3980
↘0.193, 0.18%
11      105.3558
↗0.042, 0.04%
12      105.2375
↗0.118, 0.11%
13      105.0514
↗0.186, 0.18%
14      104.8760
↗0.175, 0.17%
15      104.8517
↗0.024, 0.02%
16      104.8635
↘0.012, 0.01%
17      104.8730
↘0.009, 0.01%
18      104.8813
↘0.008, 0.01%
19      105.0044
↘0.123, 0.12%
20      104.8679
↗0.137, 0.13%
21      104.8793
↘0.011, 0.01%
22      104.8247
↗0.055, 0.05%
23      104.8193
↗0.005, 0.01%
24      104.9143
↘0.095, 0.09%
25      105.0037
↘0.089, 0.09%
26      104.9544
↗0.049, 0.05%
27      104.9365
↗0.018, 0.02%
28      104.9727
↘0.036, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-02-01”),105.554,105.55],[new Date(“2014-02-02”),105.684,105.68],[new Date(“2014-02-03”),105.609,105.61],[new Date(“2014-02-04”),105.485,105.48],[new Date(“2014-02-05”),105.464,105.46],[new Date(“2014-02-06”),105.441,105.44],[new Date(“2014-02-07”),105.411,105.41],[new Date(“2014-02-08”),105.370,105.37],[new Date(“2014-02-09”),105.205,105.21],[new Date(“2014-02-10”),105.398,105.40],[new Date(“2014-02-11”),105.356,105.36],[new Date(“2014-02-12”),105.238,105.24],[new Date(“2014-02-13”),105.051,105.05],[new Date(“2014-02-14”),104.876,104.88],[new Date(“2014-02-15”),104.852,104.85],[new Date(“2014-02-16”),104.864,104.86],[new Date(“2014-02-17”),104.873,104.87],[new Date(“2014-02-18”),104.881,104.88],[new Date(“2014-02-19”),105.004,105.00],[new Date(“2014-02-20”),104.868,104.87],[new Date(“2014-02-21”),104.879,104.88],[new Date(“2014-02-22”),104.825,104.82],[new Date(“2014-02-23”),104.819,104.82],[new Date(“2014-02-24”),104.914,104.91],[new Date(“2014-02-25”),105.004,105.00],[new Date(“2014-02-26”),104.954,104.95],[new Date(“2014-02-27”),104.937,104.94],[new Date(“2014-02-28″),104.973,104.97],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2014

01      105.4124
02      105.5017
↘0.089, 0.08%
03      105.3239
↗0.178, 0.17%
04      105.3210
↗0.003, 0.00%
05      105.4860
↘0.165, 0.16%
06      105.5280
↘0.042, 0.04%
07      105.6247
↘0.097, 0.09%
08      105.4529
↗0.172, 0.16%
09      105.4997
↘0.047, 0.04%
10      105.5146
↘0.015, 0.01%
11      105.5113
↗0.003, 0.00%
12      105.2648
↗0.247, 0.23%
13      105.5180
↘0.253, 0.24%
14      105.6876
↘0.170, 0.16%
15      105.4695
↗0.218, 0.21%
16      105.4579
↗0.012, 0.01%
17      105.3808
↗0.077, 0.07%
18      105.3547
↗0.026, 0.02%
19      105.5300
↘0.175, 0.17%
20      105.4077
↗0.122, 0.12%
21      105.5440
↘0.136, 0.13%
22      105.4490
↗0.095, 0.09%
23      105.3577
↗0.091, 0.09%
24      105.4559
↘0.098, 0.09%
25      105.3942
↗0.062, 0.06%
26      105.6073
↘0.213, 0.20%
27      105.5343
↗0.073, 0.07%
28      105.4993
↗0.035, 0.03%
29      105.3782
↗0.121, 0.11%
30      105.4553
↘0.077, 0.07%
31      105.4954
↘0.040, 0.04%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-01-01”),105.412,105.41],[new Date(“2014-01-02”),105.502,105.50],[new Date(“2014-01-03”),105.324,105.32],[new Date(“2014-01-04”),105.321,105.32],[new Date(“2014-01-05”),105.486,105.49],[new Date(“2014-01-06”),105.528,105.53],[new Date(“2014-01-07”),105.625,105.62],[new Date(“2014-01-08”),105.453,105.45],[new Date(“2014-01-09”),105.500,105.50],[new Date(“2014-01-10”),105.515,105.51],[new Date(“2014-01-11”),105.511,105.51],[new Date(“2014-01-12”),105.265,105.26],[new Date(“2014-01-13”),105.518,105.52],[new Date(“2014-01-14”),105.688,105.69],[new Date(“2014-01-15”),105.469,105.47],[new Date(“2014-01-16”),105.458,105.46],[new Date(“2014-01-17”),105.381,105.38],[new Date(“2014-01-18”),105.355,105.35],[new Date(“2014-01-19”),105.530,105.53],[new Date(“2014-01-20”),105.408,105.41],[new Date(“2014-01-21”),105.544,105.54],[new Date(“2014-01-22”),105.449,105.45],[new Date(“2014-01-23”),105.358,105.36],[new Date(“2014-01-24”),105.456,105.46],[new Date(“2014-01-25”),105.394,105.39],[new Date(“2014-01-26”),105.607,105.61],[new Date(“2014-01-27”),105.534,105.53],[new Date(“2014-01-28”),105.499,105.50],[new Date(“2014-01-29”),105.378,105.38],[new Date(“2014-01-30”),105.455,105.46],[new Date(“2014-01-31″),105.495,105.50],]);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);
}