South African Rand ZAR 2014 Conversion Rates

  • Opening Value is 10.502850 ZAR per Dollar
  • Closing Value is 11.544460 ZAR per Dollar
  • Change in Value during 2014 is 1.0416 which is 9.92%
  • Best Performance is on 2014-05-14 with 10.308870 ZAR per Dollar
  • Lowest Performance is on 2014-12-15 with 11.688330 ZAR per Dollar
  • Average Value is 10.8457 ZAR per Dollar
  • Swing Between the higest and the lowest is 1.3795 per Dollar, that is 13.13% compared to the opening value.

USD to ZAR Conversion Rates – 12 months

Date 1 USD =
2014-12-31 11.5445 ZAR
2014-11-30 11.0809 ZAR
2014-10-31 11.0169 ZAR
2014-09-30 11.2810 ZAR
2014-08-31 10.6637 ZAR
2014-07-31 10.6910 ZAR
2014-06-30 10.6244 ZAR
2014-05-31 10.5540 ZAR
2014-04-30 10.5372 ZAR
2014-03-31 10.5464 ZAR
2014-02-28 10.7646 ZAR
2014-01-31 11.1472 ZAR
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(“2014-12-31”),11.544,11.54],[new Date(“2014-11-30”),11.081,11.08],[new Date(“2014-10-31”),11.017,11.02],[new Date(“2014-09-30”),11.281,11.28],[new Date(“2014-08-31”),10.664,10.66],[new Date(“2014-07-31”),10.691,10.69],[new Date(“2014-06-30”),10.624,10.62],[new Date(“2014-05-31”),10.554,10.55],[new Date(“2014-04-30”),10.537,10.54],[new Date(“2014-03-31”),10.546,10.55],[new Date(“2014-02-28”),10.765,10.76],[new Date(“2014-01-31”),11.147,11.15],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2014

01      11.0078
02      11.0963
↘0.088, 0.80%
03      11.1502
↘0.054, 0.49%
04      11.1634
↘0.013, 0.12%
05      11.2609
↘0.098, 0.87%
06      11.2764
↘0.016, 0.14%
07      11.2993
↘0.023, 0.20%
08      11.5035
↘0.204, 1.81%
09      11.4395
↗0.064, 0.56%
10      11.5295
↘0.090, 0.79%
11      11.5989
↘0.069, 0.60%
12      11.5840
↗0.015, 0.13%
13      11.5982
↘0.014, 0.12%
14      11.5891
↗0.009, 0.08%
15      11.6883
↘0.099, 0.86%
16      11.6502
↗0.038, 0.33%
17      11.6434
↗0.007, 0.06%
18      11.5808
↗0.063, 0.54%
19      11.5817
↘0.001, 0.01%
20      11.5806
↗0.001, 0.01%
21      11.5887
↘0.008, 0.07%
22      11.5751
↗0.014, 0.12%
23      11.6324
↘0.057, 0.49%
24      11.6307
↗0.002, 0.01%
25      11.6384
↘0.008, 0.07%
26      11.6095
↗0.029, 0.25%
27      11.6023
↗0.007, 0.06%
28      11.5947
↗0.008, 0.07%
29      11.6189
↘0.024, 0.21%
30      11.5782
↗0.041, 0.35%
31      11.5445
↗0.034, 0.29%
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(“2014-12-01”),11.008,11.01],[new Date(“2014-12-02”),11.096,11.10],[new Date(“2014-12-03”),11.150,11.15],[new Date(“2014-12-04”),11.163,11.16],[new Date(“2014-12-05”),11.261,11.26],[new Date(“2014-12-06”),11.276,11.28],[new Date(“2014-12-07”),11.299,11.30],[new Date(“2014-12-08”),11.503,11.50],[new Date(“2014-12-09”),11.439,11.44],[new Date(“2014-12-10”),11.530,11.53],[new Date(“2014-12-11”),11.599,11.60],[new Date(“2014-12-12”),11.584,11.58],[new Date(“2014-12-13”),11.598,11.60],[new Date(“2014-12-14”),11.589,11.59],[new Date(“2014-12-15”),11.688,11.69],[new Date(“2014-12-16”),11.650,11.65],[new Date(“2014-12-17”),11.643,11.64],[new Date(“2014-12-18”),11.581,11.58],[new Date(“2014-12-19”),11.582,11.58],[new Date(“2014-12-20”),11.581,11.58],[new Date(“2014-12-21”),11.589,11.59],[new Date(“2014-12-22”),11.575,11.58],[new Date(“2014-12-23”),11.632,11.63],[new Date(“2014-12-24”),11.631,11.63],[new Date(“2014-12-25”),11.638,11.64],[new Date(“2014-12-26”),11.609,11.61],[new Date(“2014-12-27”),11.602,11.60],[new Date(“2014-12-28”),11.595,11.59],[new Date(“2014-12-29”),11.619,11.62],[new Date(“2014-12-30”),11.578,11.58],[new Date(“2014-12-31″),11.544,11.54],]);var options = {
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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_12’));
chart.draw(data, options);
}

November, 2014

01      11.0167
02      11.0496
↘0.033, 0.30%
03      11.0660
↘0.016, 0.15%
04      11.0436
↗0.022, 0.20%
05      11.1290
↘0.085, 0.77%
06      11.2301
↘0.101, 0.91%
07      11.2483
↘0.018, 0.16%
08      11.2658
↘0.017, 0.15%
09      11.2532
↗0.013, 0.11%
10      11.2713
↘0.018, 0.16%
11      11.2256
↗0.046, 0.41%
12      11.2115
↗0.014, 0.13%
13      11.2161
↘0.005, 0.04%
14      11.1059
↗0.110, 0.98%
15      11.1045
↗0.001, 0.01%
16      11.0912
↗0.013, 0.12%
17      11.1154
↘0.024, 0.22%
18      11.0417
↗0.074, 0.66%
19      11.0555
↘0.014, 0.13%
20      10.9801
↗0.075, 0.68%
21      10.9618
↗0.018, 0.17%
22      10.9477
↗0.014, 0.13%
23      10.9553
↘0.008, 0.07%
24      11.0050
↘0.050, 0.45%
25      10.9623
↗0.043, 0.39%
26      10.9665
↘0.004, 0.04%
27      10.9745
↘0.008, 0.07%
28      11.0462
↘0.072, 0.65%
29      11.0582
↘0.012, 0.11%
30      11.0809
↘0.023, 0.21%
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(“2014-11-01”),11.017,11.02],[new Date(“2014-11-02”),11.050,11.05],[new Date(“2014-11-03”),11.066,11.07],[new Date(“2014-11-04”),11.044,11.04],[new Date(“2014-11-05”),11.129,11.13],[new Date(“2014-11-06”),11.230,11.23],[new Date(“2014-11-07”),11.248,11.25],[new Date(“2014-11-08”),11.266,11.27],[new Date(“2014-11-09”),11.253,11.25],[new Date(“2014-11-10”),11.271,11.27],[new Date(“2014-11-11”),11.226,11.23],[new Date(“2014-11-12”),11.211,11.21],[new Date(“2014-11-13”),11.216,11.22],[new Date(“2014-11-14”),11.106,11.11],[new Date(“2014-11-15”),11.104,11.10],[new Date(“2014-11-16”),11.091,11.09],[new Date(“2014-11-17”),11.115,11.12],[new Date(“2014-11-18”),11.042,11.04],[new Date(“2014-11-19”),11.056,11.06],[new Date(“2014-11-20”),10.980,10.98],[new Date(“2014-11-21”),10.962,10.96],[new Date(“2014-11-22”),10.948,10.95],[new Date(“2014-11-23”),10.955,10.96],[new Date(“2014-11-24”),11.005,11.00],[new Date(“2014-11-25”),10.962,10.96],[new Date(“2014-11-26”),10.967,10.97],[new Date(“2014-11-27”),10.975,10.97],[new Date(“2014-11-28”),11.046,11.05],[new Date(“2014-11-29”),11.058,11.06],[new Date(“2014-11-30″),11.081,11.08],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2014

01      11.2678
02      11.2032
↗0.065, 0.57%
03      11.3181
↘0.115, 1.03%
04      11.3272
↘0.009, 0.08%
05      11.3560
↘0.029, 0.25%
06      11.2382
↗0.118, 1.04%
07      11.2186
↗0.020, 0.17%
08      11.0991
↗0.119, 1.07%
09      11.0907
↗0.008, 0.08%
10      11.1045
↘0.014, 0.12%
11      11.1122
↘0.008, 0.07%
12      11.1214
↘0.009, 0.08%
13      11.0474
↗0.074, 0.67%
14      11.0601
↘0.013, 0.12%
15      11.0777
↘0.018, 0.16%
16      11.0998
↘0.022, 0.20%
17      11.0848
↗0.015, 0.14%
18      11.0838
↗0.001, 0.01%
19      11.0914
↘0.008, 0.07%
20      11.0394
↗0.052, 0.47%
21      11.0475
↘0.008, 0.07%
22      11.0067
↗0.041, 0.37%
23      10.9892
↗0.018, 0.16%
24      10.9416
↗0.048, 0.43%
25      10.9380
↗0.004, 0.03%
26      10.9415
↘0.004, 0.03%
27      10.9444
↘0.003, 0.03%
28      10.8688
↗0.076, 0.69%
29      10.9392
↘0.070, 0.65%
30      10.8696
↗0.070, 0.64%
31      11.0169
↘0.147, 1.35%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-10-01”),11.268,11.27],[new Date(“2014-10-02”),11.203,11.20],[new Date(“2014-10-03”),11.318,11.32],[new Date(“2014-10-04”),11.327,11.33],[new Date(“2014-10-05”),11.356,11.36],[new Date(“2014-10-06”),11.238,11.24],[new Date(“2014-10-07”),11.219,11.22],[new Date(“2014-10-08”),11.099,11.10],[new Date(“2014-10-09”),11.091,11.09],[new Date(“2014-10-10”),11.105,11.10],[new Date(“2014-10-11”),11.112,11.11],[new Date(“2014-10-12”),11.121,11.12],[new Date(“2014-10-13”),11.047,11.05],[new Date(“2014-10-14”),11.060,11.06],[new Date(“2014-10-15”),11.078,11.08],[new Date(“2014-10-16”),11.100,11.10],[new Date(“2014-10-17”),11.085,11.08],[new Date(“2014-10-18”),11.084,11.08],[new Date(“2014-10-19”),11.091,11.09],[new Date(“2014-10-20”),11.039,11.04],[new Date(“2014-10-21”),11.048,11.05],[new Date(“2014-10-22”),11.007,11.01],[new Date(“2014-10-23”),10.989,10.99],[new Date(“2014-10-24”),10.942,10.94],[new Date(“2014-10-25”),10.938,10.94],[new Date(“2014-10-26”),10.941,10.94],[new Date(“2014-10-27”),10.944,10.94],[new Date(“2014-10-28”),10.869,10.87],[new Date(“2014-10-29”),10.939,10.94],[new Date(“2014-10-30”),10.870,10.87],[new Date(“2014-10-31″),11.017,11.02],]);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, 2014

01      10.6724
02      10.7258
↘0.053, 0.50%
03      10.6902
↗0.036, 0.33%
04      10.7302
↘0.040, 0.37%
05      10.6893
↗0.041, 0.38%
06      10.6968
↘0.008, 0.07%
07      10.6997
↘0.003, 0.03%
08      10.7894
↘0.090, 0.84%
09      10.8801
↘0.091, 0.84%
10      10.9197
↘0.040, 0.36%
11      10.9635
↘0.044, 0.40%
12      11.0095
↘0.046, 0.42%
13      11.0153
↘0.006, 0.05%
14      11.0316
↘0.016, 0.15%
15      10.9799
↗0.052, 0.47%
16      10.9294
↗0.050, 0.46%
17      11.0162
↘0.087, 0.79%
18      11.0503
↘0.034, 0.31%
19      11.0728
↘0.023, 0.20%
20      11.0796
↘0.007, 0.06%
21      11.0760
↗0.004, 0.03%
22      11.1525
↘0.076, 0.69%
23      11.1600
↘0.007, 0.07%
24      11.1361
↗0.024, 0.21%
25      11.1925
↘0.056, 0.51%
26      11.2177
↘0.025, 0.23%
27      11.2228
↘0.005, 0.05%
28      11.2246
↘0.002, 0.02%
29      11.2641
↘0.040, 0.35%
30      11.2810
↘0.017, 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(“2014-09-01”),10.672,10.67],[new Date(“2014-09-02”),10.726,10.73],[new Date(“2014-09-03”),10.690,10.69],[new Date(“2014-09-04”),10.730,10.73],[new Date(“2014-09-05”),10.689,10.69],[new Date(“2014-09-06”),10.697,10.70],[new Date(“2014-09-07”),10.700,10.70],[new Date(“2014-09-08”),10.789,10.79],[new Date(“2014-09-09”),10.880,10.88],[new Date(“2014-09-10”),10.920,10.92],[new Date(“2014-09-11”),10.963,10.96],[new Date(“2014-09-12”),11.009,11.01],[new Date(“2014-09-13”),11.015,11.02],[new Date(“2014-09-14”),11.032,11.03],[new Date(“2014-09-15”),10.980,10.98],[new Date(“2014-09-16”),10.929,10.93],[new Date(“2014-09-17”),11.016,11.02],[new Date(“2014-09-18”),11.050,11.05],[new Date(“2014-09-19”),11.073,11.07],[new Date(“2014-09-20”),11.080,11.08],[new Date(“2014-09-21”),11.076,11.08],[new Date(“2014-09-22”),11.152,11.15],[new Date(“2014-09-23”),11.160,11.16],[new Date(“2014-09-24”),11.136,11.14],[new Date(“2014-09-25”),11.193,11.19],[new Date(“2014-09-26”),11.218,11.22],[new Date(“2014-09-27”),11.223,11.22],[new Date(“2014-09-28”),11.225,11.22],[new Date(“2014-09-29”),11.264,11.26],[new Date(“2014-09-30″),11.281,11.28],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}

August, 2014

01      10.6812
02      10.6846
↘0.003, 0.03%
03      10.6692
↗0.015, 0.14%
04      10.6594
↗0.010, 0.09%
05      10.7396
↘0.080, 0.75%
06      10.7064
↗0.033, 0.31%
07      10.7580
↘0.052, 0.48%
08      10.6734
↗0.085, 0.79%
09      10.6741
↘0.001, 0.01%
10      10.6619
↗0.012, 0.11%
11      10.6348
↗0.027, 0.25%
12      10.6360
↘0.001, 0.01%
13      10.5870
↗0.049, 0.46%
14      10.5659
↗0.021, 0.20%
15      10.5877
↘0.022, 0.21%
16      10.5868
↗0.001, 0.01%
17      10.5860
↗0.001, 0.01%
18      10.6048
↘0.019, 0.18%
19      10.6367
↘0.032, 0.30%
20      10.7146
↘0.078, 0.73%
21      10.6949
↗0.020, 0.18%
22      10.6989
↘0.004, 0.04%
23      10.6951
↗0.004, 0.04%
24      10.7098
↘0.015, 0.14%
25      10.7091
↗0.001, 0.01%
26      10.6889
↗0.020, 0.19%
27      10.6276
↗0.061, 0.57%
28      10.6300
↘0.002, 0.02%
29      10.6598
↘0.030, 0.28%
30      10.6602
↘0.000, 0.00%
31      10.6637
↘0.003, 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(“2014-08-01”),10.681,10.68],[new Date(“2014-08-02”),10.685,10.68],[new Date(“2014-08-03”),10.669,10.67],[new Date(“2014-08-04”),10.659,10.66],[new Date(“2014-08-05”),10.740,10.74],[new Date(“2014-08-06”),10.706,10.71],[new Date(“2014-08-07”),10.758,10.76],[new Date(“2014-08-08”),10.673,10.67],[new Date(“2014-08-09”),10.674,10.67],[new Date(“2014-08-10”),10.662,10.66],[new Date(“2014-08-11”),10.635,10.63],[new Date(“2014-08-12”),10.636,10.64],[new Date(“2014-08-13”),10.587,10.59],[new Date(“2014-08-14”),10.566,10.57],[new Date(“2014-08-15”),10.588,10.59],[new Date(“2014-08-16”),10.587,10.59],[new Date(“2014-08-17”),10.586,10.59],[new Date(“2014-08-18”),10.605,10.60],[new Date(“2014-08-19”),10.637,10.64],[new Date(“2014-08-20”),10.715,10.71],[new Date(“2014-08-21”),10.695,10.69],[new Date(“2014-08-22”),10.699,10.70],[new Date(“2014-08-23”),10.695,10.70],[new Date(“2014-08-24”),10.710,10.71],[new Date(“2014-08-25”),10.709,10.71],[new Date(“2014-08-26”),10.689,10.69],[new Date(“2014-08-27”),10.628,10.63],[new Date(“2014-08-28”),10.630,10.63],[new Date(“2014-08-29”),10.660,10.66],[new Date(“2014-08-30”),10.660,10.66],[new Date(“2014-08-31″),10.664,10.66],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2014

01      10.6547
02      10.7356
↘0.081, 0.76%
03      10.7411
↘0.005, 0.05%
04      10.7586
↘0.017, 0.16%
05      10.7555
↗0.003, 0.03%
06      10.7532
↗0.002, 0.02%
07      10.7685
↘0.015, 0.14%
08      10.6991
↗0.069, 0.64%
09      10.6799
↗0.019, 0.18%
10      10.6970
↘0.017, 0.16%
11      10.7049
↘0.008, 0.07%
12      10.7095
↘0.005, 0.04%
13      10.7172
↘0.008, 0.07%
14      10.6851
↗0.032, 0.30%
15      10.7099
↘0.025, 0.23%
16      10.6869
↗0.023, 0.21%
17      10.7359
↘0.049, 0.46%
18      10.6597
↗0.076, 0.71%
19      10.6499
↗0.010, 0.09%
20      10.6498
↗0.000, 0.00%
21      10.6165
↗0.033, 0.31%
22      10.5881
↗0.028, 0.27%
23      10.5339
↗0.054, 0.51%
24      10.5310
↗0.003, 0.03%
25      10.5131
↗0.018, 0.17%
26      10.5148
↘0.002, 0.02%
27      10.5178
↘0.003, 0.03%
28      10.5514
↘0.034, 0.32%
29      10.5927
↘0.041, 0.39%
30      10.6525
↘0.060, 0.56%
31      10.6910
↘0.039, 0.36%
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”),10.655,10.65],[new Date(“2014-07-02”),10.736,10.74],[new Date(“2014-07-03”),10.741,10.74],[new Date(“2014-07-04”),10.759,10.76],[new Date(“2014-07-05”),10.756,10.76],[new Date(“2014-07-06”),10.753,10.75],[new Date(“2014-07-07”),10.769,10.77],[new Date(“2014-07-08”),10.699,10.70],[new Date(“2014-07-09”),10.680,10.68],[new Date(“2014-07-10”),10.697,10.70],[new Date(“2014-07-11”),10.705,10.70],[new Date(“2014-07-12”),10.709,10.71],[new Date(“2014-07-13”),10.717,10.72],[new Date(“2014-07-14”),10.685,10.69],[new Date(“2014-07-15”),10.710,10.71],[new Date(“2014-07-16”),10.687,10.69],[new Date(“2014-07-17”),10.736,10.74],[new Date(“2014-07-18”),10.660,10.66],[new Date(“2014-07-19”),10.650,10.65],[new Date(“2014-07-20”),10.650,10.65],[new Date(“2014-07-21”),10.617,10.62],[new Date(“2014-07-22”),10.588,10.59],[new Date(“2014-07-23”),10.534,10.53],[new Date(“2014-07-24”),10.531,10.53],[new Date(“2014-07-25”),10.513,10.51],[new Date(“2014-07-26”),10.515,10.51],[new Date(“2014-07-27”),10.518,10.52],[new Date(“2014-07-28”),10.551,10.55],[new Date(“2014-07-29”),10.593,10.59],[new Date(“2014-07-30”),10.652,10.65],[new Date(“2014-07-31″),10.691,10.69],]);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      10.5727
02      10.6605
↘0.088, 0.83%
03      10.7367
↘0.076, 0.71%
04      10.7504
↘0.014, 0.13%
05      10.7082
↗0.042, 0.39%
06      10.6151
↗0.093, 0.87%
07      10.6001
↗0.015, 0.14%
08      10.5787
↗0.021, 0.20%
09      10.6314
↘0.053, 0.50%
10      10.6880
↘0.057, 0.53%
11      10.7373
↘0.049, 0.46%
12      10.6886
↗0.049, 0.45%
13      10.6903
↘0.002, 0.02%
14      10.6848
↗0.005, 0.05%
15      10.6973
↘0.013, 0.12%
16      10.7294
↘0.032, 0.30%
17      10.8153
↘0.086, 0.80%
18      10.6940
↗0.121, 1.12%
19      10.7587
↘0.065, 0.61%
20      10.6577
↗0.101, 0.94%
21      10.6647
↘0.007, 0.07%
22      10.6628
↗0.002, 0.02%
23      10.6005
↗0.062, 0.58%
24      10.6351
↘0.035, 0.33%
25      10.5940
↗0.041, 0.39%
26      10.6358
↘0.042, 0.40%
27      10.5933
↗0.043, 0.40%
28      10.5949
↘0.002, 0.02%
29      10.6013
↘0.006, 0.06%
30      10.6244
↘0.023, 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(“2014-06-01”),10.573,10.57],[new Date(“2014-06-02”),10.661,10.66],[new Date(“2014-06-03”),10.737,10.74],[new Date(“2014-06-04”),10.750,10.75],[new Date(“2014-06-05”),10.708,10.71],[new Date(“2014-06-06”),10.615,10.62],[new Date(“2014-06-07”),10.600,10.60],[new Date(“2014-06-08”),10.579,10.58],[new Date(“2014-06-09”),10.631,10.63],[new Date(“2014-06-10”),10.688,10.69],[new Date(“2014-06-11”),10.737,10.74],[new Date(“2014-06-12”),10.689,10.69],[new Date(“2014-06-13”),10.690,10.69],[new Date(“2014-06-14”),10.685,10.68],[new Date(“2014-06-15”),10.697,10.70],[new Date(“2014-06-16”),10.729,10.73],[new Date(“2014-06-17”),10.815,10.82],[new Date(“2014-06-18”),10.694,10.69],[new Date(“2014-06-19”),10.759,10.76],[new Date(“2014-06-20”),10.658,10.66],[new Date(“2014-06-21”),10.665,10.66],[new Date(“2014-06-22”),10.663,10.66],[new Date(“2014-06-23”),10.601,10.60],[new Date(“2014-06-24”),10.635,10.64],[new Date(“2014-06-25”),10.594,10.59],[new Date(“2014-06-26”),10.636,10.64],[new Date(“2014-06-27”),10.593,10.59],[new Date(“2014-06-28”),10.595,10.59],[new Date(“2014-06-29”),10.601,10.60],[new Date(“2014-06-30″),10.624,10.62],]);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      10.5100
02      10.4861
↗0.024, 0.23%
03      10.4823
↗0.004, 0.04%
04      10.4673
↗0.015, 0.14%
05      10.5275
↘0.060, 0.58%
06      10.4954
↗0.032, 0.31%
07      10.4689
↗0.026, 0.25%
08      10.3692
↗0.100, 0.95%
09      10.3602
↗0.009, 0.09%
10      10.3519
↗0.008, 0.08%
11      10.3527
↘0.001, 0.01%
12      10.3577
↘0.005, 0.05%
13      10.3257
↗0.032, 0.31%
14      10.3089
↗0.017, 0.16%
15      10.3867
↘0.078, 0.76%
16      10.3533
↗0.033, 0.32%
17      10.3613
↘0.008, 0.08%
18      10.3540
↗0.007, 0.07%
19      10.3601
↘0.006, 0.06%
20      10.4266
↘0.066, 0.64%
21      10.3803
↗0.046, 0.44%
22      10.3542
↗0.026, 0.25%
23      10.3165
↗0.038, 0.36%
24      10.3108
↗0.006, 0.06%
25      10.3274
↘0.017, 0.16%
26      10.3434
↘0.016, 0.15%
27      10.4310
↘0.088, 0.85%
28      10.4490
↘0.018, 0.17%
29      10.4298
↗0.019, 0.18%
30      10.5470
↘0.117, 1.12%
31      10.5540
↘0.007, 0.07%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-05-01”),10.510,10.51],[new Date(“2014-05-02”),10.486,10.49],[new Date(“2014-05-03”),10.482,10.48],[new Date(“2014-05-04”),10.467,10.47],[new Date(“2014-05-05”),10.528,10.53],[new Date(“2014-05-06”),10.495,10.50],[new Date(“2014-05-07”),10.469,10.47],[new Date(“2014-05-08”),10.369,10.37],[new Date(“2014-05-09”),10.360,10.36],[new Date(“2014-05-10”),10.352,10.35],[new Date(“2014-05-11”),10.353,10.35],[new Date(“2014-05-12”),10.358,10.36],[new Date(“2014-05-13”),10.326,10.33],[new Date(“2014-05-14”),10.309,10.31],[new Date(“2014-05-15”),10.387,10.39],[new Date(“2014-05-16”),10.353,10.35],[new Date(“2014-05-17”),10.361,10.36],[new Date(“2014-05-18”),10.354,10.35],[new Date(“2014-05-19”),10.360,10.36],[new Date(“2014-05-20”),10.427,10.43],[new Date(“2014-05-21”),10.380,10.38],[new Date(“2014-05-22”),10.354,10.35],[new Date(“2014-05-23”),10.317,10.32],[new Date(“2014-05-24”),10.311,10.31],[new Date(“2014-05-25”),10.327,10.33],[new Date(“2014-05-26”),10.343,10.34],[new Date(“2014-05-27”),10.431,10.43],[new Date(“2014-05-28”),10.449,10.45],[new Date(“2014-05-29”),10.430,10.43],[new Date(“2014-05-30”),10.547,10.55],[new Date(“2014-05-31″),10.554,10.55],]);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_5’));
chart.draw(data, options);
}

April, 2014

01      10.5783
02      10.5999
↘0.022, 0.20%
03      10.6365
↘0.037, 0.35%
04      10.5762
↗0.060, 0.57%
05      10.5694
↗0.007, 0.06%
06      10.5521
↗0.017, 0.16%
07      10.5298
↗0.022, 0.21%
08      10.4820
↗0.048, 0.45%
09      10.4008
↗0.081, 0.77%
10      10.4605
↘0.060, 0.57%
11      10.4690
↘0.009, 0.08%
12      10.4837
↘0.015, 0.14%
13      10.5058
↘0.022, 0.21%
14      10.5068
↘0.001, 0.01%
15      10.5507
↘0.044, 0.42%
16      10.5509
↘0.000, 0.00%
17      10.5119
↗0.039, 0.37%
18      10.5060
↗0.006, 0.06%
19      10.4989
↗0.007, 0.07%
20      10.4994
↘0.000, 0.00%
21      10.4978
↗0.002, 0.01%
22      10.5333
↘0.035, 0.34%
23      10.5730
↘0.040, 0.38%
24      10.6158
↘0.043, 0.40%
25      10.6534
↘0.038, 0.35%
26      10.6596
↘0.006, 0.06%
27      10.6646
↘0.005, 0.05%
28      10.6287
↗0.036, 0.34%
29      10.5731
↗0.056, 0.52%
30      10.5372
↗0.036, 0.34%
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”),10.578,10.58],[new Date(“2014-04-02”),10.600,10.60],[new Date(“2014-04-03”),10.637,10.64],[new Date(“2014-04-04”),10.576,10.58],[new Date(“2014-04-05”),10.569,10.57],[new Date(“2014-04-06”),10.552,10.55],[new Date(“2014-04-07”),10.530,10.53],[new Date(“2014-04-08”),10.482,10.48],[new Date(“2014-04-09”),10.401,10.40],[new Date(“2014-04-10”),10.460,10.46],[new Date(“2014-04-11”),10.469,10.47],[new Date(“2014-04-12”),10.484,10.48],[new Date(“2014-04-13”),10.506,10.51],[new Date(“2014-04-14”),10.507,10.51],[new Date(“2014-04-15”),10.551,10.55],[new Date(“2014-04-16”),10.551,10.55],[new Date(“2014-04-17”),10.512,10.51],[new Date(“2014-04-18”),10.506,10.51],[new Date(“2014-04-19”),10.499,10.50],[new Date(“2014-04-20”),10.499,10.50],[new Date(“2014-04-21”),10.498,10.50],[new Date(“2014-04-22”),10.533,10.53],[new Date(“2014-04-23”),10.573,10.57],[new Date(“2014-04-24”),10.616,10.62],[new Date(“2014-04-25”),10.653,10.65],[new Date(“2014-04-26”),10.660,10.66],[new Date(“2014-04-27”),10.665,10.66],[new Date(“2014-04-28”),10.629,10.63],[new Date(“2014-04-29”),10.573,10.57],[new Date(“2014-04-30″),10.537,10.54],]);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      10.7466
02      10.7965
↘0.050, 0.46%
03      10.8665
↘0.070, 0.65%
04      10.7668
↗0.100, 0.92%
05      10.7045
↗0.062, 0.58%
06      10.6372
↗0.067, 0.63%
07      10.7180
↘0.081, 0.76%
08      10.7162
↗0.002, 0.02%
09      10.7456
↘0.029, 0.27%
10      10.7519
↘0.006, 0.06%
11      10.8330
↘0.081, 0.75%
12      10.8007
↗0.032, 0.30%
13      10.8128
↘0.012, 0.11%
14      10.6958
↗0.117, 1.08%
15      10.6942
↗0.002, 0.01%
16      10.6969
↘0.003, 0.02%
17      10.7534
↘0.057, 0.53%
18      10.7336
↗0.020, 0.18%
19      10.8498
↘0.116, 1.08%
20      10.8758
↘0.026, 0.24%
21      10.8929
↘0.017, 0.16%
22      10.8927
↗0.000, 0.00%
23      10.8953
↘0.003, 0.02%
24      10.8457
↗0.050, 0.46%
25      10.7633
↗0.082, 0.76%
26      10.7111
↗0.052, 0.49%
27      10.6073
↗0.104, 0.97%
28      10.5948
↗0.013, 0.12%
29      10.5802
↗0.015, 0.14%
30      10.5932
↘0.013, 0.12%
31      10.5464
↗0.047, 0.44%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-03-01”),10.747,10.75],[new Date(“2014-03-02”),10.796,10.80],[new Date(“2014-03-03”),10.866,10.87],[new Date(“2014-03-04”),10.767,10.77],[new Date(“2014-03-05”),10.705,10.70],[new Date(“2014-03-06”),10.637,10.64],[new Date(“2014-03-07”),10.718,10.72],[new Date(“2014-03-08”),10.716,10.72],[new Date(“2014-03-09”),10.746,10.75],[new Date(“2014-03-10”),10.752,10.75],[new Date(“2014-03-11”),10.833,10.83],[new Date(“2014-03-12”),10.801,10.80],[new Date(“2014-03-13”),10.813,10.81],[new Date(“2014-03-14”),10.696,10.70],[new Date(“2014-03-15”),10.694,10.69],[new Date(“2014-03-16”),10.697,10.70],[new Date(“2014-03-17”),10.753,10.75],[new Date(“2014-03-18”),10.734,10.73],[new Date(“2014-03-19”),10.850,10.85],[new Date(“2014-03-20”),10.876,10.88],[new Date(“2014-03-21”),10.893,10.89],[new Date(“2014-03-22”),10.893,10.89],[new Date(“2014-03-23”),10.895,10.90],[new Date(“2014-03-24”),10.846,10.85],[new Date(“2014-03-25”),10.763,10.76],[new Date(“2014-03-26”),10.711,10.71],[new Date(“2014-03-27”),10.607,10.61],[new Date(“2014-03-28”),10.595,10.59],[new Date(“2014-03-29”),10.580,10.58],[new Date(“2014-03-30”),10.593,10.59],[new Date(“2014-03-31″),10.546,10.55],]);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_3’));
chart.draw(data, options);
}

February, 2014

01      11.1350
02      11.1309
↗0.004, 0.04%
03      11.2427
↘0.112, 1.00%
04      11.1083
↗0.134, 1.19%
05      11.1373
↘0.029, 0.26%
06      11.0554
↗0.082, 0.73%
07      11.0714
↘0.016, 0.14%
08      11.0614
↗0.010, 0.09%
09      11.0693
↘0.008, 0.07%
10      11.1134
↘0.044, 0.40%
11      10.9946
↗0.119, 1.07%
12      11.0194
↘0.025, 0.23%
13      10.9677
↗0.052, 0.47%
14      10.8907
↗0.077, 0.70%
15      10.8724
↗0.018, 0.17%
16      10.8544
↗0.018, 0.17%
17      10.8289
↗0.026, 0.24%
18      10.8655
↘0.037, 0.34%
19      11.0048
↘0.139, 1.28%
20      10.9849
↗0.020, 0.18%
21      10.9526
↗0.032, 0.29%
22      10.9418
↗0.011, 0.10%
23      10.9347
↗0.007, 0.07%
24      10.8210
↗0.114, 1.04%
25      10.7676
↗0.053, 0.49%
26      10.8132
↘0.046, 0.42%
27      10.7189
↗0.094, 0.87%
28      10.7646
↘0.046, 0.43%
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”),11.135,11.13],[new Date(“2014-02-02”),11.131,11.13],[new Date(“2014-02-03”),11.243,11.24],[new Date(“2014-02-04”),11.108,11.11],[new Date(“2014-02-05”),11.137,11.14],[new Date(“2014-02-06”),11.055,11.06],[new Date(“2014-02-07”),11.071,11.07],[new Date(“2014-02-08”),11.061,11.06],[new Date(“2014-02-09”),11.069,11.07],[new Date(“2014-02-10”),11.113,11.11],[new Date(“2014-02-11”),10.995,10.99],[new Date(“2014-02-12”),11.019,11.02],[new Date(“2014-02-13”),10.968,10.97],[new Date(“2014-02-14”),10.891,10.89],[new Date(“2014-02-15”),10.872,10.87],[new Date(“2014-02-16”),10.854,10.85],[new Date(“2014-02-17”),10.829,10.83],[new Date(“2014-02-18”),10.865,10.87],[new Date(“2014-02-19”),11.005,11.00],[new Date(“2014-02-20”),10.985,10.98],[new Date(“2014-02-21”),10.953,10.95],[new Date(“2014-02-22”),10.942,10.94],[new Date(“2014-02-23”),10.935,10.93],[new Date(“2014-02-24”),10.821,10.82],[new Date(“2014-02-25”),10.768,10.77],[new Date(“2014-02-26”),10.813,10.81],[new Date(“2014-02-27”),10.719,10.72],[new Date(“2014-02-28″),10.765,10.76],]);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_2’));
chart.draw(data, options);
}

January, 2014

01      10.5029
02      10.6529
↘0.150, 1.43%
03      10.6731
↘0.020, 0.19%
04      10.6869
↘0.014, 0.13%
05      10.6760
↗0.011, 0.10%
06      10.6462
↗0.030, 0.28%
07      10.6482
↘0.002, 0.02%
08      10.7488
↘0.101, 0.94%
09      10.7731
↘0.024, 0.23%
10      10.6721
↗0.101, 0.94%
11      10.6665
↗0.006, 0.05%
12      10.6554
↗0.011, 0.10%
13      10.7838
↘0.128, 1.21%
14      10.8111
↘0.027, 0.25%
15      10.8697
↘0.059, 0.54%
16      10.8894
↘0.020, 0.18%
17      10.8747
↗0.015, 0.14%
18      10.8675
↗0.007, 0.07%
19      10.8800
↘0.013, 0.12%
20      10.8491
↗0.031, 0.28%
21      10.8344
↗0.015, 0.14%
22      10.8640
↘0.030, 0.27%
23      10.9632
↘0.099, 0.91%
24      11.0497
↘0.087, 0.79%
25      11.0842
↘0.034, 0.31%
26      11.1045
↘0.020, 0.18%
27      11.1098
↘0.005, 0.05%
28      10.9779
↗0.132, 1.19%
29      11.2609
↘0.283, 2.58%
30      11.1829
↗0.078, 0.69%
31      11.1472
↗0.036, 0.32%
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”),10.503,10.50],[new Date(“2014-01-02”),10.653,10.65],[new Date(“2014-01-03”),10.673,10.67],[new Date(“2014-01-04”),10.687,10.69],[new Date(“2014-01-05”),10.676,10.68],[new Date(“2014-01-06”),10.646,10.65],[new Date(“2014-01-07”),10.648,10.65],[new Date(“2014-01-08”),10.749,10.75],[new Date(“2014-01-09”),10.773,10.77],[new Date(“2014-01-10”),10.672,10.67],[new Date(“2014-01-11”),10.666,10.67],[new Date(“2014-01-12”),10.655,10.66],[new Date(“2014-01-13”),10.784,10.78],[new Date(“2014-01-14”),10.811,10.81],[new Date(“2014-01-15”),10.870,10.87],[new Date(“2014-01-16”),10.889,10.89],[new Date(“2014-01-17”),10.875,10.87],[new Date(“2014-01-18”),10.867,10.87],[new Date(“2014-01-19”),10.880,10.88],[new Date(“2014-01-20”),10.849,10.85],[new Date(“2014-01-21”),10.834,10.83],[new Date(“2014-01-22”),10.864,10.86],[new Date(“2014-01-23”),10.963,10.96],[new Date(“2014-01-24”),11.050,11.05],[new Date(“2014-01-25”),11.084,11.08],[new Date(“2014-01-26”),11.105,11.10],[new Date(“2014-01-27”),11.110,11.11],[new Date(“2014-01-28”),10.978,10.98],[new Date(“2014-01-29”),11.261,11.26],[new Date(“2014-01-30”),11.183,11.18],[new Date(“2014-01-31″),11.147,11.15],]);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);
}