Algerian Dinar DZD 2013 Conversion Rates

  • Opening Value is 78.203501 DZD per Dollar
  • Closing Value is 78.367250 DZD per Dollar
  • Change in Value during 2013 is 0.1637 which is 0.21%
  • Best Performance is on 2013-02-01 with 77.672102 DZD per Dollar
  • Lowest Performance is on 2013-09-14 with 82.200201 DZD per Dollar
  • Average Value is 79.6463 DZD per Dollar
  • Swing Between the higest and the lowest is 4.5281 per Dollar, that is 5.79% compared to the opening value.

USD to DZD Conversion Rates – 12 months

Date 1 USD =
2013-12-31 78.3673 DZD
2013-11-30 80.0159 DZD
2013-10-31 81.3069 DZD
2013-09-30 81.4949 DZD
2013-08-31 81.6082 DZD
2013-07-31 79.5625 DZD
2013-06-30 80.3125 DZD
2013-05-31 79.3478 DZD
2013-04-30 78.7138 DZD
2013-03-31 79.3639 DZD
2013-02-28 78.6750 DZD
2013-01-31 77.7783 DZD
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-12-31”),78.367,78.37],[new Date(“2013-11-30”),80.016,80.02],[new Date(“2013-10-31”),81.307,81.31],[new Date(“2013-09-30”),81.495,81.49],[new Date(“2013-08-31”),81.608,81.61],[new Date(“2013-07-31”),79.563,79.56],[new Date(“2013-06-30”),80.313,80.31],[new Date(“2013-05-31”),79.348,79.35],[new Date(“2013-04-30”),78.714,78.71],[new Date(“2013-03-31”),79.364,79.36],[new Date(“2013-02-28”),78.675,78.67],[new Date(“2013-01-31”),77.778,77.78],]);var options = {
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‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2013

01      79.9964
02      80.1167
↘0.120, 0.15%
03      79.8368
↗0.280, 0.35%
04      79.7526
↗0.084, 0.11%
05      79.7082
↗0.044, 0.06%
06      79.3854
↗0.323, 0.40%
07      79.4197
↘0.034, 0.04%
08      79.4481
↘0.028, 0.04%
09      79.2694
↗0.179, 0.22%
10      78.9326
↗0.337, 0.42%
11      78.5823
↗0.350, 0.44%
12      78.4489
↗0.133, 0.17%
13      78.3156
↗0.133, 0.17%
14      78.3512
↘0.036, 0.05%
15      78.4005
↘0.049, 0.06%
16      78.4484
↘0.048, 0.06%
17      78.1691
↗0.279, 0.36%
18      78.5858
↘0.417, 0.53%
19      78.5145
↗0.071, 0.09%
20      78.5153
↘0.001, 0.00%
21      78.5398
↘0.025, 0.03%
22      78.6315
↘0.092, 0.12%
23      78.4235
↗0.208, 0.26%
24      78.4930
↘0.069, 0.09%
25      78.5956
↘0.103, 0.13%
26      78.5581
↗0.037, 0.05%
27      78.1399
↗0.418, 0.53%
28      78.0635
↗0.076, 0.10%
29      78.0491
↗0.014, 0.02%
30      78.1957
↘0.147, 0.19%
31      78.3673
↘0.172, 0.22%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-12-01”),79.996,80.00],[new Date(“2013-12-02”),80.117,80.12],[new Date(“2013-12-03”),79.837,79.84],[new Date(“2013-12-04”),79.753,79.75],[new Date(“2013-12-05”),79.708,79.71],[new Date(“2013-12-06”),79.385,79.39],[new Date(“2013-12-07”),79.420,79.42],[new Date(“2013-12-08”),79.448,79.45],[new Date(“2013-12-09”),79.269,79.27],[new Date(“2013-12-10”),78.933,78.93],[new Date(“2013-12-11”),78.582,78.58],[new Date(“2013-12-12”),78.449,78.45],[new Date(“2013-12-13”),78.316,78.32],[new Date(“2013-12-14”),78.351,78.35],[new Date(“2013-12-15”),78.400,78.40],[new Date(“2013-12-16”),78.448,78.45],[new Date(“2013-12-17”),78.169,78.17],[new Date(“2013-12-18”),78.586,78.59],[new Date(“2013-12-19”),78.515,78.51],[new Date(“2013-12-20”),78.515,78.52],[new Date(“2013-12-21”),78.540,78.54],[new Date(“2013-12-22”),78.632,78.63],[new Date(“2013-12-23”),78.424,78.42],[new Date(“2013-12-24”),78.493,78.49],[new Date(“2013-12-25”),78.596,78.60],[new Date(“2013-12-26”),78.558,78.56],[new Date(“2013-12-27”),78.140,78.14],[new Date(“2013-12-28”),78.064,78.06],[new Date(“2013-12-29”),78.049,78.05],[new Date(“2013-12-30”),78.196,78.20],[new Date(“2013-12-31″),78.367,78.37],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2013

01      81.4691
02      81.4890
↘0.020, 0.02%
03      81.4555
↗0.033, 0.04%
04      81.2680
↗0.188, 0.23%
05      81.0319
↗0.236, 0.29%
06      80.9547
↗0.077, 0.10%
07      80.7391
↗0.216, 0.27%
08      80.7620
↘0.023, 0.03%
09      80.6786
↗0.083, 0.10%
10      80.7198
↘0.041, 0.05%
11      80.4992
↗0.221, 0.27%
12      80.3302
↗0.169, 0.21%
13      80.4511
↘0.121, 0.15%
14      80.3939
↗0.057, 0.07%
15      80.3055
↗0.088, 0.11%
16      80.4182
↘0.113, 0.14%
17      80.4115
↗0.007, 0.01%
18      80.2248
↗0.187, 0.23%
19      80.1164
↗0.108, 0.14%
20      80.1327
↘0.016, 0.02%
21      80.1780
↘0.045, 0.06%
22      80.1845
↘0.006, 0.01%
23      80.2507
↘0.066, 0.08%
24      80.3472
↘0.097, 0.12%
25      80.1780
↗0.169, 0.21%
26      79.8361
↗0.342, 0.43%
27      80.0681
↘0.232, 0.29%
28      79.8760
↗0.192, 0.24%
29      79.9698
↘0.094, 0.12%
30      80.0159
↘0.046, 0.06%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-11-01”),81.469,81.47],[new Date(“2013-11-02”),81.489,81.49],[new Date(“2013-11-03”),81.456,81.46],[new Date(“2013-11-04”),81.268,81.27],[new Date(“2013-11-05”),81.032,81.03],[new Date(“2013-11-06”),80.955,80.95],[new Date(“2013-11-07”),80.739,80.74],[new Date(“2013-11-08”),80.762,80.76],[new Date(“2013-11-09”),80.679,80.68],[new Date(“2013-11-10”),80.720,80.72],[new Date(“2013-11-11”),80.499,80.50],[new Date(“2013-11-12”),80.330,80.33],[new Date(“2013-11-13”),80.451,80.45],[new Date(“2013-11-14”),80.394,80.39],[new Date(“2013-11-15”),80.305,80.31],[new Date(“2013-11-16”),80.418,80.42],[new Date(“2013-11-17”),80.412,80.41],[new Date(“2013-11-18”),80.225,80.22],[new Date(“2013-11-19”),80.116,80.12],[new Date(“2013-11-20”),80.133,80.13],[new Date(“2013-11-21”),80.178,80.18],[new Date(“2013-11-22”),80.185,80.18],[new Date(“2013-11-23”),80.251,80.25],[new Date(“2013-11-24”),80.347,80.35],[new Date(“2013-11-25”),80.178,80.18],[new Date(“2013-11-26”),79.836,79.84],[new Date(“2013-11-27”),80.068,80.07],[new Date(“2013-11-28”),79.876,79.88],[new Date(“2013-11-29”),79.970,79.97],[new Date(“2013-11-30″),80.016,80.02],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2013

01      81.6143
02      81.5499
↗0.064, 0.08%
03      81.3703
↗0.180, 0.22%
04      81.4180
↘0.048, 0.06%
05      81.4868
↘0.069, 0.08%
06      81.5073
↘0.021, 0.03%
07      81.3606
↗0.147, 0.18%
08      81.3909
↘0.030, 0.04%
09      81.4172
↘0.026, 0.03%
10      81.5901
↘0.173, 0.21%
11      81.6366
↘0.047, 0.06%
12      81.6433
↘0.007, 0.01%
13      81.6810
↘0.038, 0.05%
14      81.6633
↗0.018, 0.02%
15      81.6890
↘0.026, 0.03%
16      81.5890
↗0.100, 0.12%
17      81.3475
↗0.242, 0.30%
18      81.4489
↘0.101, 0.12%
19      81.4876
↘0.039, 0.05%
20      81.4927
↘0.005, 0.01%
21      81.5126
↘0.020, 0.02%
22      81.5806
↘0.068, 0.08%
23      81.5317
↗0.049, 0.06%
24      81.6128
↘0.081, 0.10%
25      81.6447
↘0.032, 0.04%
26      81.6520
↘0.007, 0.01%
27      81.6550
↘0.003, 0.00%
28      81.3187
↗0.336, 0.41%
29      81.1773
↗0.141, 0.17%
30      81.1953
↘0.018, 0.02%
31      81.3069
↘0.112, 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(“2013-10-01”),81.614,81.61],[new Date(“2013-10-02”),81.550,81.55],[new Date(“2013-10-03”),81.370,81.37],[new Date(“2013-10-04”),81.418,81.42],[new Date(“2013-10-05”),81.487,81.49],[new Date(“2013-10-06”),81.507,81.51],[new Date(“2013-10-07”),81.361,81.36],[new Date(“2013-10-08”),81.391,81.39],[new Date(“2013-10-09”),81.417,81.42],[new Date(“2013-10-10”),81.590,81.59],[new Date(“2013-10-11”),81.637,81.64],[new Date(“2013-10-12”),81.643,81.64],[new Date(“2013-10-13”),81.681,81.68],[new Date(“2013-10-14”),81.663,81.66],[new Date(“2013-10-15”),81.689,81.69],[new Date(“2013-10-16”),81.589,81.59],[new Date(“2013-10-17”),81.347,81.35],[new Date(“2013-10-18”),81.449,81.45],[new Date(“2013-10-19”),81.488,81.49],[new Date(“2013-10-20”),81.493,81.49],[new Date(“2013-10-21”),81.513,81.51],[new Date(“2013-10-22”),81.581,81.58],[new Date(“2013-10-23”),81.532,81.53],[new Date(“2013-10-24”),81.613,81.61],[new Date(“2013-10-25”),81.645,81.64],[new Date(“2013-10-26”),81.652,81.65],[new Date(“2013-10-27”),81.655,81.66],[new Date(“2013-10-28”),81.319,81.32],[new Date(“2013-10-29”),81.177,81.18],[new Date(“2013-10-30”),81.195,81.20],[new Date(“2013-10-31″),81.307,81.31],]);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, 2013

01      81.5600
02      81.5551
↗0.005, 0.01%
03      81.7551
↘0.200, 0.25%
04      81.8053
↘0.050, 0.06%
05      82.1370
↘0.332, 0.41%
06      81.9683
↗0.169, 0.21%
07      81.9123
↗0.056, 0.07%
08      81.7936
↗0.119, 0.14%
09      82.0907
↘0.297, 0.36%
10      82.1561
↘0.065, 0.08%
11      82.0974
↗0.059, 0.07%
12      82.0540
↗0.043, 0.05%
13      82.1917
↘0.138, 0.17%
14      82.2002
↘0.008, 0.01%
15      82.0961
↗0.104, 0.13%
16      82.0443
↗0.052, 0.06%
17      81.9069
↗0.137, 0.17%
18      81.8267
↗0.080, 0.10%
19      81.6178
↗0.209, 0.26%
20      81.5866
↗0.031, 0.04%
21      81.5819
↗0.005, 0.01%
22      81.5793
↗0.003, 0.00%
23      81.5978
↘0.018, 0.02%
24      81.6225
↘0.025, 0.03%
25      81.6313
↘0.009, 0.01%
26      81.6746
↘0.043, 0.05%
27      81.7017
↘0.027, 0.03%
28      81.7101
↘0.008, 0.01%
29      81.7004
↗0.010, 0.01%
30      81.4949
↗0.206, 0.25%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-09-01”),81.560,81.56],[new Date(“2013-09-02”),81.555,81.56],[new Date(“2013-09-03”),81.755,81.76],[new Date(“2013-09-04”),81.805,81.81],[new Date(“2013-09-05”),82.137,82.14],[new Date(“2013-09-06”),81.968,81.97],[new Date(“2013-09-07”),81.912,81.91],[new Date(“2013-09-08”),81.794,81.79],[new Date(“2013-09-09”),82.091,82.09],[new Date(“2013-09-10”),82.156,82.16],[new Date(“2013-09-11”),82.097,82.10],[new Date(“2013-09-12”),82.054,82.05],[new Date(“2013-09-13”),82.192,82.19],[new Date(“2013-09-14”),82.200,82.20],[new Date(“2013-09-15”),82.096,82.10],[new Date(“2013-09-16”),82.044,82.04],[new Date(“2013-09-17”),81.907,81.91],[new Date(“2013-09-18”),81.827,81.83],[new Date(“2013-09-19”),81.618,81.62],[new Date(“2013-09-20”),81.587,81.59],[new Date(“2013-09-21”),81.582,81.58],[new Date(“2013-09-22”),81.579,81.58],[new Date(“2013-09-23”),81.598,81.60],[new Date(“2013-09-24”),81.623,81.62],[new Date(“2013-09-25”),81.631,81.63],[new Date(“2013-09-26”),81.675,81.67],[new Date(“2013-09-27”),81.702,81.70],[new Date(“2013-09-28”),81.710,81.71],[new Date(“2013-09-29”),81.700,81.70],[new Date(“2013-09-30″),81.495,81.49],]);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);
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August, 2013

01      79.5009
02      79.4430
↗0.058, 0.07%
03      79.4659
↘0.023, 0.03%
04      79.4655
↗0.000, 0.00%
05      79.4660
↘0.000, 0.00%
06      79.7606
↘0.295, 0.37%
07      80.2172
↘0.457, 0.57%
08      80.3765
↘0.159, 0.20%
09      80.6140
↘0.238, 0.30%
10      80.5667
↗0.047, 0.06%
11      80.4514
↗0.115, 0.14%
12      80.4150
↗0.036, 0.05%
13      80.4537
↘0.039, 0.05%
14      80.2429
↗0.211, 0.26%
15      79.8993
↗0.344, 0.43%
16      80.4548
↘0.555, 0.70%
17      80.4849
↘0.030, 0.04%
18      80.5530
↘0.068, 0.08%
19      80.5211
↗0.032, 0.04%
20      80.6301
↘0.109, 0.14%
21      80.8538
↘0.224, 0.28%
22      80.9638
↘0.110, 0.14%
23      80.9580
↗0.006, 0.01%
24      80.9581
↘0.000, 0.00%
25      80.9090
↗0.049, 0.06%
26      80.8998
↗0.009, 0.01%
27      81.0070
↘0.107, 0.13%
28      81.1140
↘0.107, 0.13%
29      81.2643
↘0.150, 0.19%
30      81.4292
↘0.165, 0.20%
31      81.6082
↘0.179, 0.22%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-08-01”),79.501,79.50],[new Date(“2013-08-02”),79.443,79.44],[new Date(“2013-08-03”),79.466,79.47],[new Date(“2013-08-04”),79.466,79.47],[new Date(“2013-08-05”),79.466,79.47],[new Date(“2013-08-06”),79.761,79.76],[new Date(“2013-08-07”),80.217,80.22],[new Date(“2013-08-08”),80.377,80.38],[new Date(“2013-08-09”),80.614,80.61],[new Date(“2013-08-10”),80.567,80.57],[new Date(“2013-08-11”),80.451,80.45],[new Date(“2013-08-12”),80.415,80.41],[new Date(“2013-08-13”),80.454,80.45],[new Date(“2013-08-14”),80.243,80.24],[new Date(“2013-08-15”),79.899,79.90],[new Date(“2013-08-16”),80.455,80.45],[new Date(“2013-08-17”),80.485,80.48],[new Date(“2013-08-18”),80.553,80.55],[new Date(“2013-08-19”),80.521,80.52],[new Date(“2013-08-20”),80.630,80.63],[new Date(“2013-08-21”),80.854,80.85],[new Date(“2013-08-22”),80.964,80.96],[new Date(“2013-08-23”),80.958,80.96],[new Date(“2013-08-24”),80.958,80.96],[new Date(“2013-08-25”),80.909,80.91],[new Date(“2013-08-26”),80.900,80.90],[new Date(“2013-08-27”),81.007,81.01],[new Date(“2013-08-28”),81.114,81.11],[new Date(“2013-08-29”),81.264,81.26],[new Date(“2013-08-30”),81.429,81.43],[new Date(“2013-08-31″),81.608,81.61],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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‘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, 2013

01      80.0714
02      80.0519
↗0.019, 0.02%
03      80.0774
↘0.025, 0.03%
04      80.1333
↘0.056, 0.07%
05      80.1776
↘0.044, 0.06%
06      80.1202
↗0.057, 0.07%
07      80.1242
↘0.004, 0.01%
08      80.0719
↗0.052, 0.07%
09      79.4478
↗0.624, 0.78%
10      79.6389
↘0.191, 0.24%
11      79.4563
↗0.183, 0.23%
12      79.3475
↗0.109, 0.14%
13      79.1962
↗0.151, 0.19%
14      79.1399
↗0.056, 0.07%
15      78.6031
↗0.537, 0.68%
16      78.8853
↘0.282, 0.36%
17      79.0846
↘0.199, 0.25%
18      79.1238
↘0.039, 0.05%
19      79.1526
↘0.029, 0.04%
20      79.2550
↘0.102, 0.13%
21      79.2538
↗0.001, 0.00%
22      79.4476
↘0.194, 0.24%
23      79.2916
↗0.156, 0.20%
24      79.4989
↘0.207, 0.26%
25      79.5869
↘0.088, 0.11%
26      79.4447
↗0.142, 0.18%
27      79.5832
↘0.139, 0.17%
28      79.5248
↗0.058, 0.07%
29      79.4196
↗0.105, 0.13%
30      79.4010
↗0.019, 0.02%
31      79.5625
↘0.162, 0.20%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-07-01”),80.071,80.07],[new Date(“2013-07-02”),80.052,80.05],[new Date(“2013-07-03”),80.077,80.08],[new Date(“2013-07-04”),80.133,80.13],[new Date(“2013-07-05”),80.178,80.18],[new Date(“2013-07-06”),80.120,80.12],[new Date(“2013-07-07”),80.124,80.12],[new Date(“2013-07-08”),80.072,80.07],[new Date(“2013-07-09”),79.448,79.45],[new Date(“2013-07-10”),79.639,79.64],[new Date(“2013-07-11”),79.456,79.46],[new Date(“2013-07-12”),79.347,79.35],[new Date(“2013-07-13”),79.196,79.20],[new Date(“2013-07-14”),79.140,79.14],[new Date(“2013-07-15”),78.603,78.60],[new Date(“2013-07-16”),78.885,78.89],[new Date(“2013-07-17”),79.085,79.08],[new Date(“2013-07-18”),79.124,79.12],[new Date(“2013-07-19”),79.153,79.15],[new Date(“2013-07-20”),79.255,79.25],[new Date(“2013-07-21”),79.254,79.25],[new Date(“2013-07-22”),79.448,79.45],[new Date(“2013-07-23”),79.292,79.29],[new Date(“2013-07-24”),79.499,79.50],[new Date(“2013-07-25”),79.587,79.59],[new Date(“2013-07-26”),79.445,79.44],[new Date(“2013-07-27”),79.583,79.58],[new Date(“2013-07-28”),79.525,79.52],[new Date(“2013-07-29”),79.420,79.42],[new Date(“2013-07-30”),79.401,79.40],[new Date(“2013-07-31″),79.563,79.56],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}

June, 2013

01      79.4164
02      79.3955
↗0.021, 0.03%
03      79.2974
↗0.098, 0.12%
04      79.3421
↘0.045, 0.06%
05      79.2859
↗0.056, 0.07%
06      79.0450
↗0.241, 0.30%
07      79.0569
↘0.012, 0.01%
08      79.0454
↗0.011, 0.01%
09      79.0979
↘0.053, 0.07%
10      78.8519
↗0.246, 0.31%
11      78.8829
↘0.031, 0.04%
12      78.5967
↗0.286, 0.36%
13      78.8010
↘0.204, 0.26%
14      78.5794
↗0.222, 0.28%
15      78.5650
↗0.014, 0.02%
16      78.5376
↗0.027, 0.03%
17      78.5271
↗0.011, 0.01%
18      78.4636
↗0.064, 0.08%
19      78.4965
↘0.033, 0.04%
20      79.0160
↘0.519, 0.66%
21      79.3127
↘0.297, 0.38%
22      79.4999
↘0.187, 0.24%
23      79.6463
↘0.146, 0.18%
24      79.4951
↗0.151, 0.19%
25      79.3309
↗0.164, 0.21%
26      79.8011
↘0.470, 0.59%
27      79.9239
↘0.123, 0.15%
28      80.1231
↘0.199, 0.25%
29      80.2681
↘0.145, 0.18%
30      80.3125
↘0.044, 0.06%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-06-01”),79.416,79.42],[new Date(“2013-06-02”),79.395,79.40],[new Date(“2013-06-03”),79.297,79.30],[new Date(“2013-06-04”),79.342,79.34],[new Date(“2013-06-05”),79.286,79.29],[new Date(“2013-06-06”),79.045,79.05],[new Date(“2013-06-07”),79.057,79.06],[new Date(“2013-06-08”),79.045,79.05],[new Date(“2013-06-09”),79.098,79.10],[new Date(“2013-06-10”),78.852,78.85],[new Date(“2013-06-11”),78.883,78.88],[new Date(“2013-06-12”),78.597,78.60],[new Date(“2013-06-13”),78.801,78.80],[new Date(“2013-06-14”),78.579,78.58],[new Date(“2013-06-15”),78.565,78.57],[new Date(“2013-06-16”),78.538,78.54],[new Date(“2013-06-17”),78.527,78.53],[new Date(“2013-06-18”),78.464,78.46],[new Date(“2013-06-19”),78.496,78.50],[new Date(“2013-06-20”),79.016,79.02],[new Date(“2013-06-21”),79.313,79.31],[new Date(“2013-06-22”),79.500,79.50],[new Date(“2013-06-23”),79.646,79.65],[new Date(“2013-06-24”),79.495,79.50],[new Date(“2013-06-25”),79.331,79.33],[new Date(“2013-06-26”),79.801,79.80],[new Date(“2013-06-27”),79.924,79.92],[new Date(“2013-06-28”),80.123,80.12],[new Date(“2013-06-29”),80.268,80.27],[new Date(“2013-06-30″),80.313,80.31],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2013

01      78.7855
02      78.8081
↘0.023, 0.03%
03      78.7465
↗0.062, 0.08%
04      78.7243
↗0.022, 0.03%
05      78.6863
↗0.038, 0.05%
06      78.6567
↗0.030, 0.04%
07      78.8254
↘0.169, 0.21%
08      78.7862
↗0.039, 0.05%
09      78.7944
↘0.008, 0.01%
10      79.0514
↘0.257, 0.33%
11      79.0392
↗0.012, 0.02%
12      79.1150
↘0.076, 0.10%
13      79.0714
↗0.044, 0.06%
14      79.1601
↘0.089, 0.11%
15      79.2826
↘0.123, 0.15%
16      79.5545
↘0.272, 0.34%
17      79.8188
↘0.264, 0.33%
18      79.6705
↗0.148, 0.19%
19      79.7613
↘0.091, 0.11%
20      79.7478
↗0.013, 0.02%
21      79.8120
↘0.064, 0.08%
22      79.6989
↗0.113, 0.14%
23      79.6403
↗0.059, 0.07%
24      79.4583
↗0.182, 0.23%
25      79.5178
↘0.060, 0.07%
26      79.5857
↘0.068, 0.09%
27      79.6281
↘0.042, 0.05%
28      79.6257
↗0.002, 0.00%
29      79.6374
↘0.012, 0.01%
30      79.3885
↗0.249, 0.31%
31      79.3478
↗0.041, 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(“2013-05-01”),78.786,78.79],[new Date(“2013-05-02”),78.808,78.81],[new Date(“2013-05-03”),78.747,78.75],[new Date(“2013-05-04”),78.724,78.72],[new Date(“2013-05-05”),78.686,78.69],[new Date(“2013-05-06”),78.657,78.66],[new Date(“2013-05-07”),78.825,78.83],[new Date(“2013-05-08”),78.786,78.79],[new Date(“2013-05-09”),78.794,78.79],[new Date(“2013-05-10”),79.051,79.05],[new Date(“2013-05-11”),79.039,79.04],[new Date(“2013-05-12”),79.115,79.11],[new Date(“2013-05-13”),79.071,79.07],[new Date(“2013-05-14”),79.160,79.16],[new Date(“2013-05-15”),79.283,79.28],[new Date(“2013-05-16”),79.555,79.55],[new Date(“2013-05-17”),79.819,79.82],[new Date(“2013-05-18”),79.671,79.67],[new Date(“2013-05-19”),79.761,79.76],[new Date(“2013-05-20”),79.748,79.75],[new Date(“2013-05-21”),79.812,79.81],[new Date(“2013-05-22”),79.699,79.70],[new Date(“2013-05-23”),79.640,79.64],[new Date(“2013-05-24”),79.458,79.46],[new Date(“2013-05-25”),79.518,79.52],[new Date(“2013-05-26”),79.586,79.59],[new Date(“2013-05-27”),79.628,79.63],[new Date(“2013-05-28”),79.626,79.63],[new Date(“2013-05-29”),79.637,79.64],[new Date(“2013-05-30”),79.388,79.39],[new Date(“2013-05-31″),79.348,79.35],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2013

01      79.4404
02      79.2197
↗0.221, 0.28%
03      79.3052
↘0.085, 0.11%
04      79.2361
↗0.069, 0.09%
05      79.2927
↘0.057, 0.07%
06      79.2717
↗0.021, 0.03%
07      79.1216
↗0.150, 0.19%
08      79.0840
↗0.038, 0.05%
09      78.8960
↗0.188, 0.24%
10      78.8584
↗0.038, 0.05%
11      78.7481
↗0.110, 0.14%
12      78.8381
↘0.090, 0.11%
13      78.8224
↗0.016, 0.02%
14      78.8287
↘0.006, 0.01%
15      78.8482
↘0.020, 0.02%
16      78.5794
↗0.269, 0.34%
17      78.6679
↘0.089, 0.11%
18      79.0370
↘0.369, 0.47%
19      78.7749
↗0.262, 0.33%
20      78.7547
↗0.020, 0.03%
21      78.7395
↗0.015, 0.02%
22      78.8797
↘0.140, 0.18%
23      78.9590
↘0.079, 0.10%
24      79.1089
↘0.150, 0.19%
25      79.0284
↗0.080, 0.10%
26      78.9971
↗0.031, 0.04%
27      78.9933
↗0.004, 0.00%
28      78.9576
↗0.036, 0.05%
29      78.8306
↗0.127, 0.16%
30      78.7138
↗0.117, 0.15%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-04-01”),79.440,79.44],[new Date(“2013-04-02”),79.220,79.22],[new Date(“2013-04-03”),79.305,79.31],[new Date(“2013-04-04”),79.236,79.24],[new Date(“2013-04-05”),79.293,79.29],[new Date(“2013-04-06”),79.272,79.27],[new Date(“2013-04-07”),79.122,79.12],[new Date(“2013-04-08”),79.084,79.08],[new Date(“2013-04-09”),78.896,78.90],[new Date(“2013-04-10”),78.858,78.86],[new Date(“2013-04-11”),78.748,78.75],[new Date(“2013-04-12”),78.838,78.84],[new Date(“2013-04-13”),78.822,78.82],[new Date(“2013-04-14”),78.829,78.83],[new Date(“2013-04-15”),78.848,78.85],[new Date(“2013-04-16”),78.579,78.58],[new Date(“2013-04-17”),78.668,78.67],[new Date(“2013-04-18”),79.037,79.04],[new Date(“2013-04-19”),78.775,78.77],[new Date(“2013-04-20”),78.755,78.75],[new Date(“2013-04-21”),78.740,78.74],[new Date(“2013-04-22”),78.880,78.88],[new Date(“2013-04-23”),78.959,78.96],[new Date(“2013-04-24”),79.109,79.11],[new Date(“2013-04-25”),79.028,79.03],[new Date(“2013-04-26”),78.997,79.00],[new Date(“2013-04-27”),78.993,78.99],[new Date(“2013-04-28”),78.958,78.96],[new Date(“2013-04-29”),78.831,78.83],[new Date(“2013-04-30″),78.714,78.71],]);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_4’));
chart.draw(data, options);
}

March, 2013

01      78.8908
02      78.9468
↘0.056, 0.07%
03      79.0206
↘0.074, 0.09%
04      79.0189
↗0.002, 0.00%
05      78.8924
↗0.126, 0.16%
06      78.9618
↘0.069, 0.09%
07      79.0748
↘0.113, 0.14%
08      79.1374
↘0.063, 0.08%
09      79.2620
↘0.125, 0.16%
10      79.3921
↘0.130, 0.16%
11      79.3422
↗0.050, 0.06%
12      79.0842
↗0.258, 0.33%
13      79.1299
↘0.046, 0.06%
14      79.0668
↗0.063, 0.08%
15      79.0445
↗0.022, 0.03%
16      78.9111
↗0.133, 0.17%
17      79.0796
↘0.169, 0.21%
18      79.0125
↗0.067, 0.08%
19      79.0951
↘0.083, 0.10%
20      79.0378
↗0.057, 0.07%
21      79.1662
↘0.128, 0.16%
22      79.1127
↗0.053, 0.07%
23      79.1315
↘0.019, 0.02%
24      79.0409
↗0.091, 0.11%
25      79.2751
↘0.234, 0.30%
26      79.2828
↘0.008, 0.01%
27      79.4104
↘0.128, 0.16%
28      79.2630
↗0.147, 0.19%
29      79.3746
↘0.112, 0.14%
30      79.3330
↗0.042, 0.05%
31      79.3639
↘0.031, 0.04%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-03-01”),78.891,78.89],[new Date(“2013-03-02”),78.947,78.95],[new Date(“2013-03-03”),79.021,79.02],[new Date(“2013-03-04”),79.019,79.02],[new Date(“2013-03-05”),78.892,78.89],[new Date(“2013-03-06”),78.962,78.96],[new Date(“2013-03-07”),79.075,79.07],[new Date(“2013-03-08”),79.137,79.14],[new Date(“2013-03-09”),79.262,79.26],[new Date(“2013-03-10”),79.392,79.39],[new Date(“2013-03-11”),79.342,79.34],[new Date(“2013-03-12”),79.084,79.08],[new Date(“2013-03-13”),79.130,79.13],[new Date(“2013-03-14”),79.067,79.07],[new Date(“2013-03-15”),79.044,79.04],[new Date(“2013-03-16”),78.911,78.91],[new Date(“2013-03-17”),79.080,79.08],[new Date(“2013-03-18”),79.013,79.01],[new Date(“2013-03-19”),79.095,79.10],[new Date(“2013-03-20”),79.038,79.04],[new Date(“2013-03-21”),79.166,79.17],[new Date(“2013-03-22”),79.113,79.11],[new Date(“2013-03-23”),79.131,79.13],[new Date(“2013-03-24”),79.041,79.04],[new Date(“2013-03-25”),79.275,79.28],[new Date(“2013-03-26”),79.283,79.28],[new Date(“2013-03-27”),79.410,79.41],[new Date(“2013-03-28”),79.263,79.26],[new Date(“2013-03-29”),79.375,79.37],[new Date(“2013-03-30”),79.333,79.33],[new Date(“2013-03-31″),79.364,79.36],]);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_3’));
chart.draw(data, options);
}

February, 2013

01      77.6721
02      77.7271
↘0.055, 0.07%
03      77.6860
↗0.041, 0.05%
04      77.7020
↘0.016, 0.02%
05      77.7417
↘0.040, 0.05%
06      77.7881
↘0.046, 0.06%
07      77.9855
↘0.197, 0.25%
08      78.1909
↘0.205, 0.26%
09      78.2403
↘0.049, 0.06%
10      78.2592
↘0.019, 0.02%
11      78.0978
↗0.161, 0.21%
12      78.0230
↗0.075, 0.10%
13      78.1660
↘0.143, 0.18%
14      78.0976
↗0.068, 0.09%
15      78.2738
↘0.176, 0.23%
16      78.2974
↘0.024, 0.03%
17      78.3049
↘0.007, 0.01%
18      78.2430
↗0.062, 0.08%
19      78.2428
↗0.000, 0.00%
20      78.1015
↗0.141, 0.18%
21      78.5525
↘0.451, 0.58%
22      78.6421
↘0.090, 0.11%
23      78.7801
↘0.138, 0.18%
24      78.8059
↘0.026, 0.03%
25      78.4252
↗0.381, 0.48%
26      78.6559
↘0.231, 0.29%
27      78.6036
↗0.052, 0.07%
28      78.6750
↘0.071, 0.09%
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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title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
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January, 2013

01      78.2035
02      78.4591
↘0.256, 0.33%
03      78.4762
↘0.017, 0.02%
04      78.5027
↘0.027, 0.03%
05      78.5306
↘0.028, 0.04%
06      78.5347
↘0.004, 0.01%
07      78.4968
↗0.038, 0.05%
08      78.5981
↘0.101, 0.13%
09      78.6578
↘0.060, 0.08%
10      78.5517
↗0.106, 0.13%
11      78.4716
↗0.080, 0.10%
12      78.3777
↗0.094, 0.12%
13      78.2611
↗0.117, 0.15%
14      78.1804
↗0.081, 0.10%
15      78.2772
↘0.097, 0.12%
16      78.2546
↗0.023, 0.03%
17      78.2690
↘0.014, 0.02%
18      78.3441
↘0.075, 0.10%
19      78.3638
↘0.020, 0.03%
20      78.3361
↗0.028, 0.04%
21      78.1961
↗0.140, 0.18%
22      78.1606
↗0.036, 0.05%
23      78.1517
↗0.009, 0.01%
24      78.1279
↗0.024, 0.03%
25      78.1715
↘0.044, 0.06%
26      78.1501
↗0.021, 0.03%
27      78.1426
↗0.008, 0.01%
28      78.1336
↗0.009, 0.01%
29      78.0460
↗0.088, 0.11%
30      77.9387
↗0.107, 0.14%
31      77.7783
↗0.160, 0.21%
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