South African Rand ZAR 2016 Conversion Rates

  • Opening Value is 15.489810 ZAR per Dollar
  • Closing Value is 13.730904 ZAR per Dollar
  • Change in Value during 2016 is -1.7589 which is -11.36%
  • Best Performance is on 2016-11-08 with 13.220701 ZAR per Dollar
  • Lowest Performance is on 2016-01-18 with 16.857520 ZAR per Dollar
  • Average Value is 14.7003 ZAR per Dollar
  • Swing Between the higest and the lowest is 3.6368 per Dollar, that is 23.48% compared to the opening value.

USD to ZAR Conversion Rates – 12 months

Date 1 USD =
2016-12-31 13.7309 ZAR
2016-11-30 14.0906 ZAR
2016-10-31 13.4720 ZAR
2016-09-30 13.7104 ZAR
2016-08-31 14.6898 ZAR
2016-07-31 13.8945 ZAR
2016-06-30 14.7934 ZAR
2016-05-31 15.7268 ZAR
2016-04-30 14.2288 ZAR
2016-03-31 14.7735 ZAR
2016-02-29 15.9254 ZAR
2016-01-31 15.8816 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(“2016-12-31”),13.731,13.73],[new Date(“2016-11-30”),14.091,14.09],[new Date(“2016-10-31”),13.472,13.47],[new Date(“2016-09-30”),13.710,13.71],[new Date(“2016-08-31”),14.690,14.69],[new Date(“2016-07-31”),13.895,13.89],[new Date(“2016-06-30”),14.793,14.79],[new Date(“2016-05-31”),15.727,15.73],[new Date(“2016-04-30”),14.229,14.23],[new Date(“2016-03-31”),14.773,14.77],[new Date(“2016-02-29”),15.925,15.93],[new Date(“2016-01-31”),15.882,15.88],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2016

01      14.0961
02      13.7890
↗0.307, 2.18%
03      13.7890
→0.000, 0.00%
04      13.8814
↘0.092, 0.67%
05      13.7263
↗0.155, 1.12%
06      13.6412
↗0.085, 0.62%
07      13.4612
↗0.180, 1.32%
08      13.6450
↘0.184, 1.37%
09      13.8144
↘0.169, 1.24%
10      13.8144
→0.000, 0.00%
11      13.8063
↗0.008, 0.06%
12      13.6046
↗0.202, 1.46%
13      13.5840
↗0.021, 0.15%
14      13.9523
↘0.368, 2.71%
15      13.9650
↘0.013, 0.09%
16      14.0748
↘0.110, 0.79%
17      14.0748
→0.000, 0.00%
18      14.0048
↗0.070, 0.50%
19      14.1283
↘0.124, 0.88%
20      13.9387
↗0.190, 1.34%
21      13.9720
↘0.033, 0.24%
22      14.0309
↘0.059, 0.42%
23      14.0022
↗0.029, 0.20%
24      14.0022
→0.000, 0.00%
25      14.0273
↘0.025, 0.18%
26      13.9927
↗0.035, 0.25%
27      13.9226
↗0.070, 0.50%
28      13.8564
↗0.066, 0.48%
29      13.5650
↗0.291, 2.10%
30      13.7309
↘0.166, 1.22%
31      13.7309
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-01”),14.096,14.10],[new Date(“2016-12-02”),13.789,13.79],[new Date(“2016-12-03”),13.789,13.79],[new Date(“2016-12-04”),13.881,13.88],[new Date(“2016-12-05”),13.726,13.73],[new Date(“2016-12-06”),13.641,13.64],[new Date(“2016-12-07”),13.461,13.46],[new Date(“2016-12-08”),13.645,13.65],[new Date(“2016-12-09”),13.814,13.81],[new Date(“2016-12-10”),13.814,13.81],[new Date(“2016-12-11”),13.806,13.81],[new Date(“2016-12-12”),13.605,13.60],[new Date(“2016-12-13”),13.584,13.58],[new Date(“2016-12-14”),13.952,13.95],[new Date(“2016-12-15”),13.965,13.96],[new Date(“2016-12-16”),14.075,14.07],[new Date(“2016-12-17”),14.075,14.07],[new Date(“2016-12-18”),14.005,14.00],[new Date(“2016-12-19”),14.128,14.13],[new Date(“2016-12-20”),13.939,13.94],[new Date(“2016-12-21”),13.972,13.97],[new Date(“2016-12-22”),14.031,14.03],[new Date(“2016-12-23”),14.002,14.00],[new Date(“2016-12-24”),14.002,14.00],[new Date(“2016-12-25”),14.027,14.03],[new Date(“2016-12-26”),13.993,13.99],[new Date(“2016-12-27”),13.923,13.92],[new Date(“2016-12-28”),13.856,13.86],[new Date(“2016-12-29”),13.565,13.57],[new Date(“2016-12-30”),13.731,13.73],[new Date(“2016-12-31″),13.731,13.73],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2016

01      13.5979
02      13.4506
↗0.147, 1.08%
03      13.4408
↗0.010, 0.07%
04      13.5965
↘0.156, 1.16%
05      13.5965
→0.000, 0.00%
06      13.5365
↗0.060, 0.44%
07      13.3675
↗0.169, 1.25%
08      13.2207
↗0.147, 1.10%
09      13.4929
↘0.272, 2.06%
10      14.0771
↘0.584, 4.33%
11      14.3415
↘0.264, 1.88%
12      14.3415
→0.000, 0.00%
13      14.3415
↗0.000, 0.00%
14      14.4037
↘0.062, 0.43%
15      14.1730
↗0.231, 1.60%
16      14.2899
↘0.117, 0.82%
17      14.4218
↘0.132, 0.92%
18      14.4705
↘0.049, 0.34%
19      14.4705
→0.000, 0.00%
20      14.4368
↗0.034, 0.23%
21      14.2093
↗0.228, 1.58%
22      14.0660
↗0.143, 1.01%
23      14.1254
↘0.059, 0.42%
24      14.1417
↘0.016, 0.12%
25      14.1298
↗0.012, 0.08%
26      14.1304
↘0.001, 0.00%
27      14.0226
↗0.108, 0.76%
28      13.7261
↗0.297, 2.11%
29      13.8599
↘0.134, 0.97%
30      14.0906
↘0.231, 1.66%
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(“2016-11-01”),13.598,13.60],[new Date(“2016-11-02”),13.451,13.45],[new Date(“2016-11-03”),13.441,13.44],[new Date(“2016-11-04”),13.597,13.60],[new Date(“2016-11-05”),13.597,13.60],[new Date(“2016-11-06”),13.537,13.54],[new Date(“2016-11-07”),13.367,13.37],[new Date(“2016-11-08”),13.221,13.22],[new Date(“2016-11-09”),13.493,13.49],[new Date(“2016-11-10”),14.077,14.08],[new Date(“2016-11-11”),14.342,14.34],[new Date(“2016-11-12”),14.342,14.34],[new Date(“2016-11-13”),14.341,14.34],[new Date(“2016-11-14”),14.404,14.40],[new Date(“2016-11-15”),14.173,14.17],[new Date(“2016-11-16”),14.290,14.29],[new Date(“2016-11-17”),14.422,14.42],[new Date(“2016-11-18”),14.471,14.47],[new Date(“2016-11-19”),14.471,14.47],[new Date(“2016-11-20”),14.437,14.44],[new Date(“2016-11-21”),14.209,14.21],[new Date(“2016-11-22”),14.066,14.07],[new Date(“2016-11-23”),14.125,14.13],[new Date(“2016-11-24”),14.142,14.14],[new Date(“2016-11-25”),14.130,14.13],[new Date(“2016-11-26”),14.130,14.13],[new Date(“2016-11-27”),14.023,14.02],[new Date(“2016-11-28”),13.726,13.73],[new Date(“2016-11-29”),13.860,13.86],[new Date(“2016-11-30″),14.091,14.09],]);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, 2016

01      13.7104
02      13.7444
↘0.034, 0.25%
03      13.6065
↗0.138, 1.00%
04      13.8302
↘0.224, 1.64%
05      13.7070
↗0.123, 0.89%
06      13.8867
↘0.180, 1.31%
07      13.9118
↘0.025, 0.18%
08      13.9118
→0.000, 0.00%
09      13.7830
↗0.129, 0.93%
10      13.7855
↘0.002, 0.02%
11      14.3392
↘0.554, 4.02%
12      14.2295
↗0.110, 0.77%
13      14.2597
↘0.030, 0.21%
14      14.2583
↗0.001, 0.01%
15      14.2583
→0.000, 0.00%
16      14.2932
↘0.035, 0.24%
17      14.1366
↗0.157, 1.10%
18      13.8763
↗0.260, 1.84%
19      13.8273
↗0.049, 0.35%
20      13.9371
↘0.110, 0.79%
21      14.0228
↘0.086, 0.61%
22      14.0228
→0.000, 0.00%
23      13.9339
↗0.089, 0.63%
24      13.9055
↗0.028, 0.20%
25      13.7562
↗0.149, 1.07%
26      13.8769
↘0.121, 0.88%
27      13.8482
↗0.029, 0.21%
28      13.8704
↘0.022, 0.16%
29      13.8704
→0.000, 0.00%
30      13.7841
↗0.086, 0.62%
31      13.4720
↗0.312, 2.26%
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(“2016-10-01”),13.710,13.71],[new Date(“2016-10-02”),13.744,13.74],[new Date(“2016-10-03”),13.606,13.61],[new Date(“2016-10-04”),13.830,13.83],[new Date(“2016-10-05”),13.707,13.71],[new Date(“2016-10-06”),13.887,13.89],[new Date(“2016-10-07”),13.912,13.91],[new Date(“2016-10-08”),13.912,13.91],[new Date(“2016-10-09”),13.783,13.78],[new Date(“2016-10-10”),13.786,13.79],[new Date(“2016-10-11”),14.339,14.34],[new Date(“2016-10-12”),14.229,14.23],[new Date(“2016-10-13”),14.260,14.26],[new Date(“2016-10-14”),14.258,14.26],[new Date(“2016-10-15”),14.258,14.26],[new Date(“2016-10-16”),14.293,14.29],[new Date(“2016-10-17”),14.137,14.14],[new Date(“2016-10-18”),13.876,13.88],[new Date(“2016-10-19”),13.827,13.83],[new Date(“2016-10-20”),13.937,13.94],[new Date(“2016-10-21”),14.023,14.02],[new Date(“2016-10-22”),14.023,14.02],[new Date(“2016-10-23”),13.934,13.93],[new Date(“2016-10-24”),13.906,13.91],[new Date(“2016-10-25”),13.756,13.76],[new Date(“2016-10-26”),13.877,13.88],[new Date(“2016-10-27”),13.848,13.85],[new Date(“2016-10-28”),13.870,13.87],[new Date(“2016-10-29”),13.870,13.87],[new Date(“2016-10-30”),13.784,13.78],[new Date(“2016-10-31″),13.472,13.47],]);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, 2016

01      14.5774
02      14.4804
↗0.097, 0.67%
03      14.4804
→0.000, 0.00%
04      14.4741
↗0.006, 0.04%
05      14.3877
↗0.086, 0.60%
06      13.9927
↗0.395, 2.75%
07      13.9983
↘0.006, 0.04%
08      14.1139
↘0.116, 0.83%
09      14.3856
↘0.272, 1.93%
10      14.3856
→0.000, 0.00%
11      14.4066
↘0.021, 0.15%
12      14.2407
↗0.166, 1.15%
13      14.4321
↘0.191, 1.34%
14      14.3091
↗0.123, 0.85%
15      14.2024
↗0.107, 0.75%
16      14.2575
↘0.055, 0.39%
17      14.2575
→0.000, 0.00%
18      14.2031
↗0.054, 0.38%
19      13.9969
↗0.206, 1.45%
20      13.9055
↗0.091, 0.65%
21      13.5777
↗0.328, 2.36%
22      13.6170
↘0.039, 0.29%
23      13.6613
↘0.044, 0.33%
24      13.6613
→0.000, 0.00%
25      13.7467
↘0.085, 0.63%
26      13.6997
↗0.047, 0.34%
27      13.4459
↗0.254, 1.85%
28      13.6272
↘0.181, 1.35%
29      13.9162
↘0.289, 2.12%
30      13.7104
↗0.206, 1.48%
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(“2016-09-01”),14.577,14.58],[new Date(“2016-09-02”),14.480,14.48],[new Date(“2016-09-03”),14.480,14.48],[new Date(“2016-09-04”),14.474,14.47],[new Date(“2016-09-05”),14.388,14.39],[new Date(“2016-09-06”),13.993,13.99],[new Date(“2016-09-07”),13.998,14.00],[new Date(“2016-09-08”),14.114,14.11],[new Date(“2016-09-09”),14.386,14.39],[new Date(“2016-09-10”),14.386,14.39],[new Date(“2016-09-11”),14.407,14.41],[new Date(“2016-09-12”),14.241,14.24],[new Date(“2016-09-13”),14.432,14.43],[new Date(“2016-09-14”),14.309,14.31],[new Date(“2016-09-15”),14.202,14.20],[new Date(“2016-09-16”),14.258,14.26],[new Date(“2016-09-17”),14.258,14.26],[new Date(“2016-09-18”),14.203,14.20],[new Date(“2016-09-19”),13.997,14.00],[new Date(“2016-09-20”),13.905,13.91],[new Date(“2016-09-21”),13.578,13.58],[new Date(“2016-09-22”),13.617,13.62],[new Date(“2016-09-23”),13.661,13.66],[new Date(“2016-09-24”),13.661,13.66],[new Date(“2016-09-25”),13.747,13.75],[new Date(“2016-09-26”),13.700,13.70],[new Date(“2016-09-27”),13.446,13.45],[new Date(“2016-09-28”),13.627,13.63],[new Date(“2016-09-29”),13.916,13.92],[new Date(“2016-09-30″),13.710,13.71],]);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_9’));
chart.draw(data, options);
}

August, 2016

01      13.9179
02      14.0048
↘0.087, 0.62%
03      13.9260
↗0.079, 0.56%
04      13.6997
↗0.226, 1.63%
05      13.6493
↗0.050, 0.37%
06      13.6493
→0.000, 0.00%
07      13.7409
↘0.092, 0.67%
08      13.5943
↗0.147, 1.07%
09      13.4297
↗0.165, 1.21%
10      13.2716
↗0.158, 1.18%
11      13.3953
↘0.124, 0.93%
12      13.5115
↘0.116, 0.87%
13      13.5115
→0.000, 0.00%
14      13.4547
↗0.057, 0.42%
15      13.2846
↗0.170, 1.26%
16      13.4096
↘0.125, 0.94%
17      13.3664
↗0.043, 0.32%
18      13.3610
↗0.005, 0.04%
19      13.4904
↘0.129, 0.97%
20      13.4895
↗0.001, 0.01%
21      13.4897
↘0.000, 0.00%
22      13.5675
↘0.078, 0.58%
23      13.8846
↘0.317, 2.34%
24      14.1623
↘0.278, 2.00%
25      14.1960
↘0.034, 0.24%
26      14.1904
↗0.006, 0.04%
27      14.1904
→0.000, 0.00%
28      14.2901
↘0.100, 0.70%
29      14.3963
↘0.106, 0.74%
30      14.4739
↘0.078, 0.54%
31      14.6898
↘0.216, 1.49%
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(“2016-08-01”),13.918,13.92],[new Date(“2016-08-02”),14.005,14.00],[new Date(“2016-08-03”),13.926,13.93],[new Date(“2016-08-04”),13.700,13.70],[new Date(“2016-08-05”),13.649,13.65],[new Date(“2016-08-06”),13.649,13.65],[new Date(“2016-08-07”),13.741,13.74],[new Date(“2016-08-08”),13.594,13.59],[new Date(“2016-08-09”),13.430,13.43],[new Date(“2016-08-10”),13.272,13.27],[new Date(“2016-08-11”),13.395,13.40],[new Date(“2016-08-12”),13.512,13.51],[new Date(“2016-08-13”),13.512,13.51],[new Date(“2016-08-14”),13.455,13.45],[new Date(“2016-08-15”),13.285,13.28],[new Date(“2016-08-16”),13.410,13.41],[new Date(“2016-08-17”),13.366,13.37],[new Date(“2016-08-18”),13.361,13.36],[new Date(“2016-08-19”),13.490,13.49],[new Date(“2016-08-20”),13.490,13.49],[new Date(“2016-08-21”),13.490,13.49],[new Date(“2016-08-22”),13.568,13.57],[new Date(“2016-08-23”),13.885,13.88],[new Date(“2016-08-24”),14.162,14.16],[new Date(“2016-08-25”),14.196,14.20],[new Date(“2016-08-26”),14.190,14.19],[new Date(“2016-08-27”),14.190,14.19],[new Date(“2016-08-28”),14.290,14.29],[new Date(“2016-08-29”),14.396,14.40],[new Date(“2016-08-30”),14.474,14.47],[new Date(“2016-08-31″),14.690,14.69],]);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_8’));
chart.draw(data, options);
}

July, 2016

01      14.5976
02      14.5750
↗0.023, 0.15%
03      14.6008
↘0.026, 0.18%
04      14.5725
↗0.028, 0.19%
05      14.7035
↘0.131, 0.90%
06      14.7306
↘0.027, 0.18%
07      14.7952
↘0.065, 0.44%
08      14.5583
↗0.237, 1.60%
09      14.5760
↘0.018, 0.12%
10      14.5514
↗0.025, 0.17%
11      14.4582
↗0.093, 0.64%
12      14.3736
↗0.085, 0.58%
13      14.4591
↘0.085, 0.59%
14      14.2998
↗0.159, 1.10%
15      14.5659
↘0.266, 1.86%
16      14.5659
→0.000, 0.00%
17      14.4009
↗0.165, 1.13%
18      14.2331
↗0.168, 1.17%
19      14.3245
↘0.091, 0.64%
20      14.2990
↗0.026, 0.18%
21      14.2266
↗0.072, 0.51%
22      14.3585
↘0.132, 0.93%
23      14.3585
→0.000, 0.00%
24      14.3053
↗0.053, 0.37%
25      14.3540
↘0.049, 0.34%
26      14.3346
↗0.019, 0.14%
27      14.2090
↗0.126, 0.88%
28      14.1417
↗0.067, 0.47%
29      13.9277
↗0.214, 1.51%
30      13.9277
→0.000, 0.00%
31      13.8945
↗0.033, 0.24%
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(“2016-07-01”),14.598,14.60],[new Date(“2016-07-02”),14.575,14.57],[new Date(“2016-07-03”),14.601,14.60],[new Date(“2016-07-04”),14.573,14.57],[new Date(“2016-07-05”),14.704,14.70],[new Date(“2016-07-06”),14.731,14.73],[new Date(“2016-07-07”),14.795,14.80],[new Date(“2016-07-08”),14.558,14.56],[new Date(“2016-07-09”),14.576,14.58],[new Date(“2016-07-10”),14.551,14.55],[new Date(“2016-07-11”),14.458,14.46],[new Date(“2016-07-12”),14.374,14.37],[new Date(“2016-07-13”),14.459,14.46],[new Date(“2016-07-14”),14.300,14.30],[new Date(“2016-07-15”),14.566,14.57],[new Date(“2016-07-16”),14.566,14.57],[new Date(“2016-07-17”),14.401,14.40],[new Date(“2016-07-18”),14.233,14.23],[new Date(“2016-07-19”),14.324,14.32],[new Date(“2016-07-20”),14.299,14.30],[new Date(“2016-07-21”),14.227,14.23],[new Date(“2016-07-22”),14.359,14.36],[new Date(“2016-07-23”),14.359,14.36],[new Date(“2016-07-24”),14.305,14.31],[new Date(“2016-07-25”),14.354,14.35],[new Date(“2016-07-26”),14.335,14.33],[new Date(“2016-07-27”),14.209,14.21],[new Date(“2016-07-28”),14.142,14.14],[new Date(“2016-07-29”),13.928,13.93],[new Date(“2016-07-30”),13.928,13.93],[new Date(“2016-07-31″),13.895,13.89],]);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, 2016

01      15.6457
02      15.5911
↗0.055, 0.35%
03      15.1892
↗0.402, 2.58%
04      15.1586
↗0.031, 0.20%
05      15.0974
↗0.061, 0.40%
06      14.9443
↗0.153, 1.01%
07      14.9404
↗0.004, 0.03%
08      14.7837
↗0.157, 1.05%
09      14.8249
↘0.041, 0.28%
10      15.1378
↘0.313, 2.11%
11      15.1745
↘0.037, 0.24%
12      15.2458
↘0.071, 0.47%
13      15.1728
↗0.073, 0.48%
14      15.3021
↘0.129, 0.85%
15      15.2432
↗0.059, 0.38%
16      15.3179
↘0.075, 0.49%
17      15.1777
↗0.140, 0.92%
18      15.1607
↗0.017, 0.11%
19      15.0886
↗0.072, 0.48%
20      14.9102
↗0.178, 1.18%
21      14.7864
↗0.124, 0.83%
22      14.6127
↗0.174, 1.17%
23      14.4160
↗0.197, 1.35%
24      14.9676
↘0.552, 3.83%
25      15.0661
↘0.099, 0.66%
26      15.1795
↘0.113, 0.75%
27      15.3657
↘0.186, 1.23%
28      15.2054
↗0.160, 1.04%
29      14.8784
↗0.327, 2.15%
30      14.7934
↗0.085, 0.57%
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(“2016-06-01”),15.646,15.65],[new Date(“2016-06-02”),15.591,15.59],[new Date(“2016-06-03”),15.189,15.19],[new Date(“2016-06-04”),15.159,15.16],[new Date(“2016-06-05”),15.097,15.10],[new Date(“2016-06-06”),14.944,14.94],[new Date(“2016-06-07”),14.940,14.94],[new Date(“2016-06-08”),14.784,14.78],[new Date(“2016-06-09”),14.825,14.82],[new Date(“2016-06-10”),15.138,15.14],[new Date(“2016-06-11”),15.175,15.17],[new Date(“2016-06-12”),15.246,15.25],[new Date(“2016-06-13”),15.173,15.17],[new Date(“2016-06-14”),15.302,15.30],[new Date(“2016-06-15”),15.243,15.24],[new Date(“2016-06-16”),15.318,15.32],[new Date(“2016-06-17”),15.178,15.18],[new Date(“2016-06-18”),15.161,15.16],[new Date(“2016-06-19”),15.089,15.09],[new Date(“2016-06-20”),14.910,14.91],[new Date(“2016-06-21”),14.786,14.79],[new Date(“2016-06-22”),14.613,14.61],[new Date(“2016-06-23”),14.416,14.42],[new Date(“2016-06-24”),14.968,14.97],[new Date(“2016-06-25”),15.066,15.07],[new Date(“2016-06-26”),15.180,15.18],[new Date(“2016-06-27”),15.366,15.37],[new Date(“2016-06-28”),15.205,15.21],[new Date(“2016-06-29”),14.878,14.88],[new Date(“2016-06-30″),14.793,14.79],]);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, 2016

01      14.1992
02      14.2628
↘0.064, 0.45%
03      14.5550
↘0.292, 2.05%
04      14.8626
↘0.308, 2.11%
05      14.9378
↘0.075, 0.51%
06      14.8810
↗0.057, 0.38%
07      14.8843
↘0.003, 0.02%
08      14.8455
↗0.039, 0.26%
09      15.0968
↘0.251, 1.69%
10      15.0881
↗0.009, 0.06%
11      15.0765
↗0.012, 0.08%
12      15.0538
↗0.023, 0.15%
13      15.3328
↘0.279, 1.85%
14      15.3596
↘0.027, 0.17%
15      15.4581
↘0.099, 0.64%
16      15.5458
↘0.088, 0.57%
17      15.5299
↗0.016, 0.10%
18      15.6881
↘0.158, 1.02%
19      15.6363
↗0.052, 0.33%
20      15.6804
↘0.044, 0.28%
21      15.6555
↗0.025, 0.16%
22      15.6461
↗0.009, 0.06%
23      15.6836
↘0.037, 0.24%
24      15.6579
↗0.026, 0.16%
25      15.6692
↘0.011, 0.07%
26      15.5524
↗0.117, 0.75%
27      15.7094
↘0.157, 1.01%
28      15.7064
↗0.003, 0.02%
29      15.7018
↗0.005, 0.03%
30      15.7966
↘0.095, 0.60%
31      15.7268
↗0.070, 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(“2016-05-01”),14.199,14.20],[new Date(“2016-05-02”),14.263,14.26],[new Date(“2016-05-03”),14.555,14.55],[new Date(“2016-05-04”),14.863,14.86],[new Date(“2016-05-05”),14.938,14.94],[new Date(“2016-05-06”),14.881,14.88],[new Date(“2016-05-07”),14.884,14.88],[new Date(“2016-05-08”),14.846,14.85],[new Date(“2016-05-09”),15.097,15.10],[new Date(“2016-05-10”),15.088,15.09],[new Date(“2016-05-11”),15.076,15.08],[new Date(“2016-05-12”),15.054,15.05],[new Date(“2016-05-13”),15.333,15.33],[new Date(“2016-05-14”),15.360,15.36],[new Date(“2016-05-15”),15.458,15.46],[new Date(“2016-05-16”),15.546,15.55],[new Date(“2016-05-17”),15.530,15.53],[new Date(“2016-05-18”),15.688,15.69],[new Date(“2016-05-19”),15.636,15.64],[new Date(“2016-05-20”),15.680,15.68],[new Date(“2016-05-21”),15.655,15.66],[new Date(“2016-05-22”),15.646,15.65],[new Date(“2016-05-23”),15.684,15.68],[new Date(“2016-05-24”),15.658,15.66],[new Date(“2016-05-25”),15.669,15.67],[new Date(“2016-05-26”),15.552,15.55],[new Date(“2016-05-27”),15.709,15.71],[new Date(“2016-05-28”),15.706,15.71],[new Date(“2016-05-29”),15.702,15.70],[new Date(“2016-05-30”),15.797,15.80],[new Date(“2016-05-31″),15.727,15.73],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2016

01      14.7256
02      14.7074
↗0.018, 0.12%
03      14.7133
↘0.006, 0.04%
04      14.7661
↘0.053, 0.36%
05      15.0279
↘0.262, 1.77%
06      15.0577
↘0.030, 0.20%
07      15.2377
↘0.180, 1.20%
08      15.0109
↗0.227, 1.49%
09      15.0011
↗0.010, 0.07%
10      14.9631
↗0.038, 0.25%
11      14.8060
↗0.157, 1.05%
12      14.7387
↗0.067, 0.45%
13      14.5744
↗0.164, 1.11%
14      14.5845
↘0.010, 0.07%
15      14.5651
↗0.019, 0.13%
16      14.5620
↗0.003, 0.02%
17      14.6568
↘0.095, 0.65%
18      14.4985
↗0.158, 1.08%
19      14.3585
↗0.140, 0.97%
20      14.2543
↗0.104, 0.73%
21      14.3087
↘0.054, 0.38%
22      14.3688
↘0.060, 0.42%
23      14.3862
↘0.017, 0.12%
24      14.4039
↘0.018, 0.12%
25      14.4388
↘0.035, 0.24%
26      14.4051
↗0.034, 0.23%
27      14.4315
↘0.026, 0.18%
28      14.3225
↗0.109, 0.76%
29      14.2591
↗0.063, 0.44%
30      14.2288
↗0.030, 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(“2016-04-01”),14.726,14.73],[new Date(“2016-04-02”),14.707,14.71],[new Date(“2016-04-03”),14.713,14.71],[new Date(“2016-04-04”),14.766,14.77],[new Date(“2016-04-05”),15.028,15.03],[new Date(“2016-04-06”),15.058,15.06],[new Date(“2016-04-07”),15.238,15.24],[new Date(“2016-04-08”),15.011,15.01],[new Date(“2016-04-09”),15.001,15.00],[new Date(“2016-04-10”),14.963,14.96],[new Date(“2016-04-11”),14.806,14.81],[new Date(“2016-04-12”),14.739,14.74],[new Date(“2016-04-13”),14.574,14.57],[new Date(“2016-04-14”),14.584,14.58],[new Date(“2016-04-15”),14.565,14.57],[new Date(“2016-04-16”),14.562,14.56],[new Date(“2016-04-17”),14.657,14.66],[new Date(“2016-04-18”),14.498,14.50],[new Date(“2016-04-19”),14.358,14.36],[new Date(“2016-04-20”),14.254,14.25],[new Date(“2016-04-21”),14.309,14.31],[new Date(“2016-04-22”),14.369,14.37],[new Date(“2016-04-23”),14.386,14.39],[new Date(“2016-04-24”),14.404,14.40],[new Date(“2016-04-25”),14.439,14.44],[new Date(“2016-04-26”),14.405,14.41],[new Date(“2016-04-27”),14.431,14.43],[new Date(“2016-04-28”),14.323,14.32],[new Date(“2016-04-29”),14.259,14.26],[new Date(“2016-04-30″),14.229,14.23],]);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, 2016

01      15.6847
02      15.5939
↗0.091, 0.58%
03      15.6295
↘0.036, 0.23%
04      15.4033
↗0.226, 1.45%
05      15.3931
↗0.010, 0.07%
06      15.3453
↗0.048, 0.31%
07      15.2760
↗0.069, 0.45%
08      15.4117
↘0.136, 0.89%
09      15.2388
↗0.173, 1.12%
10      15.3955
↘0.157, 1.03%
11      15.2298
↗0.166, 1.08%
12      15.2363
↘0.007, 0.04%
13      15.2276
↗0.009, 0.06%
14      15.4708
↘0.243, 1.60%
15      15.8231
↘0.352, 2.28%
16      15.6638
↗0.159, 1.01%
17      15.1599
↗0.504, 3.22%
18      15.3038
↘0.144, 0.95%
19      15.2557
↗0.048, 0.31%
20      15.2538
↗0.002, 0.01%
21      15.2295
↗0.024, 0.16%
22      15.2331
↘0.004, 0.02%
23      15.3193
↘0.086, 0.57%
24      15.4299
↘0.111, 0.72%
25      15.4695
↘0.040, 0.26%
26      15.4672
↗0.002, 0.02%
27      15.4684
↘0.001, 0.01%
28      15.4535
↗0.015, 0.10%
29      15.2437
↗0.210, 1.36%
30      15.0202
↗0.223, 1.47%
31      14.7735
↗0.247, 1.64%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-03-01”),15.685,15.68],[new Date(“2016-03-02”),15.594,15.59],[new Date(“2016-03-03”),15.630,15.63],[new Date(“2016-03-04”),15.403,15.40],[new Date(“2016-03-05”),15.393,15.39],[new Date(“2016-03-06”),15.345,15.35],[new Date(“2016-03-07”),15.276,15.28],[new Date(“2016-03-08”),15.412,15.41],[new Date(“2016-03-09”),15.239,15.24],[new Date(“2016-03-10”),15.396,15.40],[new Date(“2016-03-11”),15.230,15.23],[new Date(“2016-03-12”),15.236,15.24],[new Date(“2016-03-13”),15.228,15.23],[new Date(“2016-03-14”),15.471,15.47],[new Date(“2016-03-15”),15.823,15.82],[new Date(“2016-03-16”),15.664,15.66],[new Date(“2016-03-17”),15.160,15.16],[new Date(“2016-03-18”),15.304,15.30],[new Date(“2016-03-19”),15.256,15.26],[new Date(“2016-03-20”),15.254,15.25],[new Date(“2016-03-21”),15.230,15.23],[new Date(“2016-03-22”),15.233,15.23],[new Date(“2016-03-23”),15.319,15.32],[new Date(“2016-03-24”),15.430,15.43],[new Date(“2016-03-25”),15.470,15.47],[new Date(“2016-03-26”),15.467,15.47],[new Date(“2016-03-27”),15.468,15.47],[new Date(“2016-03-28”),15.454,15.45],[new Date(“2016-03-29”),15.244,15.24],[new Date(“2016-03-30”),15.020,15.02],[new Date(“2016-03-31″),14.773,14.77],]);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, 2016

01      15.9193
02      16.1658
↘0.246, 1.55%
03      15.9538
↗0.212, 1.31%
04      15.9316
↗0.022, 0.14%
05      16.0059
↘0.074, 0.47%
06      16.0062
↘0.000, 0.00%
07      16.0274
↘0.021, 0.13%
08      16.1352
↘0.108, 0.67%
09      16.0603
↗0.075, 0.46%
10      15.9577
↗0.103, 0.64%
11      15.8771
↗0.081, 0.50%
12      15.8832
↘0.006, 0.04%
13      15.8772
↗0.006, 0.04%
14      15.8775
↘0.000, 0.00%
15      15.7536
↗0.124, 0.78%
16      15.7966
↘0.043, 0.27%
17      15.5224
↗0.274, 1.74%
18      15.4801
↗0.042, 0.27%
19      15.4073
↗0.073, 0.47%
20      15.4067
↗0.001, 0.00%
21      15.4079
↘0.001, 0.01%
22      15.2312
↗0.177, 1.15%
23      15.2583
↘0.027, 0.18%
24      15.5342
↘0.276, 1.81%
25      15.5560
↘0.022, 0.14%
26      16.0550
↘0.499, 3.21%
27      16.0825
↘0.027, 0.17%
28      16.1645
↘0.082, 0.51%
29      15.9254
↗0.239, 1.48%
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(“2016-02-01”),15.919,15.92],[new Date(“2016-02-02”),16.166,16.17],[new Date(“2016-02-03”),15.954,15.95],[new Date(“2016-02-04”),15.932,15.93],[new Date(“2016-02-05”),16.006,16.01],[new Date(“2016-02-06”),16.006,16.01],[new Date(“2016-02-07”),16.027,16.03],[new Date(“2016-02-08”),16.135,16.14],[new Date(“2016-02-09”),16.060,16.06],[new Date(“2016-02-10”),15.958,15.96],[new Date(“2016-02-11”),15.877,15.88],[new Date(“2016-02-12”),15.883,15.88],[new Date(“2016-02-13”),15.877,15.88],[new Date(“2016-02-14”),15.877,15.88],[new Date(“2016-02-15”),15.754,15.75],[new Date(“2016-02-16”),15.797,15.80],[new Date(“2016-02-17”),15.522,15.52],[new Date(“2016-02-18”),15.480,15.48],[new Date(“2016-02-19”),15.407,15.41],[new Date(“2016-02-20”),15.407,15.41],[new Date(“2016-02-21”),15.408,15.41],[new Date(“2016-02-22”),15.231,15.23],[new Date(“2016-02-23”),15.258,15.26],[new Date(“2016-02-24”),15.534,15.53],[new Date(“2016-02-25”),15.556,15.56],[new Date(“2016-02-26”),16.055,16.06],[new Date(“2016-02-27”),16.082,16.08],[new Date(“2016-02-28”),16.165,16.16],[new Date(“2016-02-29″),15.925,15.93],]);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, 2016

01      15.4898
02      15.4879
↗0.002, 0.01%
03      15.4727
↗0.015, 0.10%
04      15.5371
↘0.064, 0.42%
05      15.6208
↘0.084, 0.54%
06      15.8049
↘0.184, 1.18%
07      15.9977
↘0.193, 1.22%
08      16.2470
↘0.249, 1.56%
09      16.2624
↘0.015, 0.09%
10      16.3078
↘0.045, 0.28%
11      16.6933
↘0.386, 2.36%
12      16.5892
↗0.104, 0.62%
13      16.6153
↘0.026, 0.16%
14      16.4585
↗0.157, 0.94%
15      16.7388
↘0.280, 1.70%
16      16.7491
↘0.010, 0.06%
17      16.8276
↘0.079, 0.47%
18      16.8575
↘0.030, 0.18%
19      16.7889
↗0.069, 0.41%
20      16.7522
↗0.037, 0.22%
21      16.6007
↗0.152, 0.90%
22      16.5133
↗0.087, 0.53%
23      16.4775
↗0.036, 0.22%
24      16.4588
↗0.019, 0.11%
25      16.5239
↘0.065, 0.39%
26      16.4088
↗0.115, 0.70%
27      16.4549
↘0.046, 0.28%
28      16.2405
↗0.214, 1.30%
29      15.9781
↗0.262, 1.62%
30      15.9268
↗0.051, 0.32%
31      15.8816
↗0.045, 0.28%
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(“2016-01-01”),15.490,15.49],[new Date(“2016-01-02”),15.488,15.49],[new Date(“2016-01-03”),15.473,15.47],[new Date(“2016-01-04”),15.537,15.54],[new Date(“2016-01-05”),15.621,15.62],[new Date(“2016-01-06”),15.805,15.80],[new Date(“2016-01-07”),15.998,16.00],[new Date(“2016-01-08”),16.247,16.25],[new Date(“2016-01-09”),16.262,16.26],[new Date(“2016-01-10”),16.308,16.31],[new Date(“2016-01-11”),16.693,16.69],[new Date(“2016-01-12”),16.589,16.59],[new Date(“2016-01-13”),16.615,16.62],[new Date(“2016-01-14”),16.459,16.46],[new Date(“2016-01-15”),16.739,16.74],[new Date(“2016-01-16”),16.749,16.75],[new Date(“2016-01-17”),16.828,16.83],[new Date(“2016-01-18”),16.858,16.86],[new Date(“2016-01-19”),16.789,16.79],[new Date(“2016-01-20”),16.752,16.75],[new Date(“2016-01-21”),16.601,16.60],[new Date(“2016-01-22”),16.513,16.51],[new Date(“2016-01-23”),16.478,16.48],[new Date(“2016-01-24”),16.459,16.46],[new Date(“2016-01-25”),16.524,16.52],[new Date(“2016-01-26”),16.409,16.41],[new Date(“2016-01-27”),16.455,16.45],[new Date(“2016-01-28”),16.241,16.24],[new Date(“2016-01-29”),15.978,15.98],[new Date(“2016-01-30”),15.927,15.93],[new Date(“2016-01-31″),15.882,15.88],]);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);
}