South African Rand ZAR 2019 Conversion Rates

  • Opening Value is 14.397650 ZAR per Dollar
  • Closing Value is 14.010903 ZAR per Dollar
  • Change in Value during 2019 is -0.3867 which is -2.69%
  • Best Performance is on 2019-01-31 with 13.263801 ZAR per Dollar
  • Lowest Performance is on 2019-08-19 with 15.462200 ZAR per Dollar
  • Average Value is 14.4500 ZAR per Dollar
  • Swing Between the higest and the lowest is 2.1984 per Dollar, that is 15.27% compared to the opening value.

USD to ZAR Conversion Rates – 12 months

Date 1 USD =
2019-12-31 14.0109 ZAR
2019-11-30 14.6535 ZAR
2019-10-31 15.1084 ZAR
2019-09-30 15.1470 ZAR
2019-08-31 15.1848 ZAR
2019-07-31 14.3456 ZAR
2019-06-30 14.0854 ZAR
2019-05-31 14.5846 ZAR
2019-04-30 14.3041 ZAR
2019-03-31 14.3421 ZAR
2019-02-28 14.0742 ZAR
2019-01-31 13.2638 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(“2019-12-31”),14.011,14.01],[new Date(“2019-11-30”),14.654,14.65],[new Date(“2019-10-31”),15.108,15.11],[new Date(“2019-09-30”),15.147,15.15],[new Date(“2019-08-31”),15.185,15.18],[new Date(“2019-07-31”),14.346,14.35],[new Date(“2019-06-30”),14.085,14.09],[new Date(“2019-05-31”),14.585,14.58],[new Date(“2019-04-30”),14.304,14.30],[new Date(“2019-03-31”),14.342,14.34],[new Date(“2019-02-28”),14.074,14.07],[new Date(“2019-01-31”),13.264,13.26],]);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, 2019

01      14.6579
02      14.5504
↗0.108, 0.73%
03      14.6360
↘0.086, 0.59%
04      14.5952
↗0.041, 0.28%
05      14.6399
↘0.045, 0.31%
06      14.6221
↗0.018, 0.12%
07      14.6221
→0.000, 0.00%
08      14.6215
↗0.001, 0.00%
09      14.6727
↘0.051, 0.35%
10      14.7890
↘0.116, 0.79%
11      14.6817
↗0.107, 0.73%
12      14.4277
↗0.254, 1.73%
13      14.5032
↘0.075, 0.52%
14      14.5032
→0.000, 0.00%
15      14.5283
↘0.025, 0.17%
16      14.3830
↗0.145, 1.00%
17      14.3993
↘0.016, 0.11%
18      14.3097
↗0.090, 0.62%
19      14.2289
↗0.081, 0.56%
20      14.2937
↘0.065, 0.46%
21      14.2937
→0.000, 0.00%
22      14.2670
↗0.027, 0.19%
23      14.2141
↗0.053, 0.37%
24      14.1644
↗0.050, 0.35%
25      14.1609
↗0.004, 0.03%
26      14.1375
↗0.023, 0.16%
27      14.0298
↗0.108, 0.76%
28      14.0298
→0.000, 0.00%
29      14.0551
↘0.025, 0.18%
30      14.1136
↘0.058, 0.42%
31      14.0109
↗0.103, 0.73%
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(“2019-12-01”),14.658,14.66],[new Date(“2019-12-02”),14.550,14.55],[new Date(“2019-12-03”),14.636,14.64],[new Date(“2019-12-04”),14.595,14.60],[new Date(“2019-12-05”),14.640,14.64],[new Date(“2019-12-06”),14.622,14.62],[new Date(“2019-12-07”),14.622,14.62],[new Date(“2019-12-08”),14.621,14.62],[new Date(“2019-12-09”),14.673,14.67],[new Date(“2019-12-10”),14.789,14.79],[new Date(“2019-12-11”),14.682,14.68],[new Date(“2019-12-12”),14.428,14.43],[new Date(“2019-12-13”),14.503,14.50],[new Date(“2019-12-14”),14.503,14.50],[new Date(“2019-12-15”),14.528,14.53],[new Date(“2019-12-16”),14.383,14.38],[new Date(“2019-12-17”),14.399,14.40],[new Date(“2019-12-18”),14.310,14.31],[new Date(“2019-12-19”),14.229,14.23],[new Date(“2019-12-20”),14.294,14.29],[new Date(“2019-12-21”),14.294,14.29],[new Date(“2019-12-22”),14.267,14.27],[new Date(“2019-12-23”),14.214,14.21],[new Date(“2019-12-24”),14.164,14.16],[new Date(“2019-12-25”),14.161,14.16],[new Date(“2019-12-26”),14.137,14.14],[new Date(“2019-12-27”),14.030,14.03],[new Date(“2019-12-28”),14.030,14.03],[new Date(“2019-12-29”),14.055,14.06],[new Date(“2019-12-30”),14.114,14.11],[new Date(“2019-12-31″),14.011,14.01],]);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, 2019

01      15.0285
02      15.0318
↘0.003, 0.02%
03      14.8554
↗0.176, 1.17%
04      14.7742
↗0.081, 0.55%
05      14.7575
↗0.017, 0.11%
06      14.8199
↘0.062, 0.42%
07      14.7301
↗0.090, 0.61%
08      14.8630
↘0.133, 0.90%
09      14.8630
→0.000, 0.00%
10      14.8605
↗0.002, 0.02%
11      14.8975
↘0.037, 0.25%
12      14.9413
↘0.044, 0.29%
13      14.9135
↗0.028, 0.19%
14      14.8301
↗0.083, 0.56%
15      14.7096
↗0.120, 0.81%
16      14.7093
↗0.000, 0.00%
17      14.7127
↘0.003, 0.02%
18      14.8128
↘0.100, 0.68%
19      14.7710
↗0.042, 0.28%
20      14.7937
↘0.023, 0.15%
21      14.6802
↗0.113, 0.77%
22      14.7313
↘0.051, 0.35%
23      14.7313
→0.000, 0.00%
24      14.7144
↗0.017, 0.11%
25      14.7723
↘0.058, 0.39%
26      14.7942
↘0.022, 0.15%
27      14.7744
↗0.020, 0.13%
28      14.7185
↗0.056, 0.38%
29      14.6541
↗0.064, 0.44%
30      14.6535
↗0.001, 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(“2019-11-01”),15.029,15.03],[new Date(“2019-11-02”),15.032,15.03],[new Date(“2019-11-03”),14.855,14.86],[new Date(“2019-11-04”),14.774,14.77],[new Date(“2019-11-05”),14.757,14.76],[new Date(“2019-11-06”),14.820,14.82],[new Date(“2019-11-07”),14.730,14.73],[new Date(“2019-11-08”),14.863,14.86],[new Date(“2019-11-09”),14.863,14.86],[new Date(“2019-11-10”),14.861,14.86],[new Date(“2019-11-11”),14.898,14.90],[new Date(“2019-11-12”),14.941,14.94],[new Date(“2019-11-13”),14.913,14.91],[new Date(“2019-11-14”),14.830,14.83],[new Date(“2019-11-15”),14.710,14.71],[new Date(“2019-11-16”),14.709,14.71],[new Date(“2019-11-17”),14.713,14.71],[new Date(“2019-11-18”),14.813,14.81],[new Date(“2019-11-19”),14.771,14.77],[new Date(“2019-11-20”),14.794,14.79],[new Date(“2019-11-21”),14.680,14.68],[new Date(“2019-11-22”),14.731,14.73],[new Date(“2019-11-23”),14.731,14.73],[new Date(“2019-11-24”),14.714,14.71],[new Date(“2019-11-25”),14.772,14.77],[new Date(“2019-11-26”),14.794,14.79],[new Date(“2019-11-27”),14.774,14.77],[new Date(“2019-11-28”),14.718,14.72],[new Date(“2019-11-29”),14.654,14.65],[new Date(“2019-11-30″),14.654,14.65],]);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, 2019

01      15.3373
02      15.2819
↗0.055, 0.36%
03      15.1354
↗0.147, 0.96%
04      15.0366
↗0.099, 0.65%
05      15.0366
→0.000, 0.00%
06      15.0820
↘0.045, 0.30%
07      15.1823
↘0.100, 0.67%
08      15.2779
↘0.096, 0.63%
09      15.2163
↗0.062, 0.40%
10      15.0314
↗0.185, 1.22%
11      14.7830
↗0.248, 1.65%
12      14.7830
→0.000, 0.00%
13      14.7879
↘0.005, 0.03%
14      14.8191
↘0.031, 0.21%
15      14.8839
↘0.065, 0.44%
16      14.9439
↘0.060, 0.40%
17      14.8339
↗0.110, 0.74%
18      14.7788
↗0.055, 0.37%
19      14.7788
→0.000, 0.00%
20      14.7673
↗0.011, 0.08%
21      14.7606
↗0.007, 0.05%
22      14.5928
↗0.168, 1.14%
23      14.6447
↘0.052, 0.36%
24      14.6915
↘0.047, 0.32%
25      14.6279
↗0.064, 0.43%
26      14.6279
→0.000, 0.00%
27      14.6253
↗0.003, 0.02%
28      14.5707
↗0.055, 0.37%
29      14.6262
↘0.056, 0.38%
30      14.9860
↘0.360, 2.46%
31      15.1084
↘0.122, 0.82%
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(“2019-10-01”),15.337,15.34],[new Date(“2019-10-02”),15.282,15.28],[new Date(“2019-10-03”),15.135,15.14],[new Date(“2019-10-04”),15.037,15.04],[new Date(“2019-10-05”),15.037,15.04],[new Date(“2019-10-06”),15.082,15.08],[new Date(“2019-10-07”),15.182,15.18],[new Date(“2019-10-08”),15.278,15.28],[new Date(“2019-10-09”),15.216,15.22],[new Date(“2019-10-10”),15.031,15.03],[new Date(“2019-10-11”),14.783,14.78],[new Date(“2019-10-12”),14.783,14.78],[new Date(“2019-10-13”),14.788,14.79],[new Date(“2019-10-14”),14.819,14.82],[new Date(“2019-10-15”),14.884,14.88],[new Date(“2019-10-16”),14.944,14.94],[new Date(“2019-10-17”),14.834,14.83],[new Date(“2019-10-18”),14.779,14.78],[new Date(“2019-10-19”),14.779,14.78],[new Date(“2019-10-20”),14.767,14.77],[new Date(“2019-10-21”),14.761,14.76],[new Date(“2019-10-22”),14.593,14.59],[new Date(“2019-10-23”),14.645,14.64],[new Date(“2019-10-24”),14.691,14.69],[new Date(“2019-10-25”),14.628,14.63],[new Date(“2019-10-26”),14.628,14.63],[new Date(“2019-10-27”),14.625,14.63],[new Date(“2019-10-28”),14.571,14.57],[new Date(“2019-10-29”),14.626,14.63],[new Date(“2019-10-30”),14.986,14.99],[new Date(“2019-10-31″),15.108,15.11],]);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, 2019

01      15.2353
02      15.2492
↘0.014, 0.09%
03      15.1059
↗0.143, 0.94%
04      14.8093
↗0.297, 1.96%
05      14.8788
↘0.070, 0.47%
06      14.8072
↗0.072, 0.48%
07      14.8072
→0.000, 0.00%
08      14.8046
↗0.003, 0.02%
09      14.7730
↗0.032, 0.21%
10      14.6648
↗0.108, 0.73%
11      14.6804
↘0.016, 0.11%
12      14.6027
↗0.078, 0.53%
13      14.5778
↗0.025, 0.17%
14      14.5778
→0.000, 0.00%
15      14.6371
↘0.059, 0.41%
16      14.6590
↘0.022, 0.15%
17      14.7075
↘0.049, 0.33%
18      14.6915
↗0.016, 0.11%
19      14.8174
↘0.126, 0.86%
20      14.9226
↘0.105, 0.71%
21      14.9226
→0.000, 0.00%
22      14.9214
↗0.001, 0.01%
23      14.8902
↗0.031, 0.21%
24      14.8667
↗0.024, 0.16%
25      14.9973
↘0.131, 0.88%
26      15.0331
↘0.036, 0.24%
27      15.1563
↘0.123, 0.82%
28      15.1563
→0.000, 0.00%
29      15.1367
↗0.020, 0.13%
30      15.1470
↘0.010, 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(“2019-09-01”),15.235,15.24],[new Date(“2019-09-02”),15.249,15.25],[new Date(“2019-09-03”),15.106,15.11],[new Date(“2019-09-04”),14.809,14.81],[new Date(“2019-09-05”),14.879,14.88],[new Date(“2019-09-06”),14.807,14.81],[new Date(“2019-09-07”),14.807,14.81],[new Date(“2019-09-08”),14.805,14.80],[new Date(“2019-09-09”),14.773,14.77],[new Date(“2019-09-10”),14.665,14.66],[new Date(“2019-09-11”),14.680,14.68],[new Date(“2019-09-12”),14.603,14.60],[new Date(“2019-09-13”),14.578,14.58],[new Date(“2019-09-14”),14.578,14.58],[new Date(“2019-09-15”),14.637,14.64],[new Date(“2019-09-16”),14.659,14.66],[new Date(“2019-09-17”),14.708,14.71],[new Date(“2019-09-18”),14.692,14.69],[new Date(“2019-09-19”),14.817,14.82],[new Date(“2019-09-20”),14.923,14.92],[new Date(“2019-09-21”),14.923,14.92],[new Date(“2019-09-22”),14.921,14.92],[new Date(“2019-09-23”),14.890,14.89],[new Date(“2019-09-24”),14.867,14.87],[new Date(“2019-09-25”),14.997,15.00],[new Date(“2019-09-26”),15.033,15.03],[new Date(“2019-09-27”),15.156,15.16],[new Date(“2019-09-28”),15.156,15.16],[new Date(“2019-09-29”),15.137,15.14],[new Date(“2019-09-30″),15.147,15.15],]);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_9’));
chart.draw(data, options);
}

August, 2019

01      14.6198
02      14.7867
↘0.167, 1.14%
03      14.7867
→0.000, 0.00%
04      14.7427
↗0.044, 0.30%
05      14.9609
↘0.218, 1.48%
06      14.9351
↗0.026, 0.17%
07      15.0555
↘0.120, 0.81%
08      15.0484
↗0.007, 0.05%
09      15.2535
↘0.205, 1.36%
10      15.2535
→0.000, 0.00%
11      15.2850
↘0.032, 0.21%
12      15.2969
↘0.012, 0.08%
13      15.1386
↗0.158, 1.03%
14      15.4202
↘0.282, 1.86%
15      15.2609
↗0.159, 1.03%
16      15.3046
↘0.044, 0.29%
17      15.3046
→0.000, 0.00%
18      15.3003
↗0.004, 0.03%
19      15.4622
↘0.162, 1.06%
20      15.3637
↗0.099, 0.64%
21      15.1989
↗0.165, 1.07%
22      15.2293
↘0.030, 0.20%
23      15.2517
↘0.022, 0.15%
24      15.2517
→0.000, 0.00%
25      15.3561
↘0.104, 0.68%
26      15.2745
↗0.082, 0.53%
27      15.3347
↘0.060, 0.39%
28      15.4025
↘0.068, 0.44%
29      15.3267
↗0.076, 0.49%
30      15.1848
↗0.142, 0.93%
31      15.1848
→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(“2019-08-01”),14.620,14.62],[new Date(“2019-08-02”),14.787,14.79],[new Date(“2019-08-03”),14.787,14.79],[new Date(“2019-08-04”),14.743,14.74],[new Date(“2019-08-05”),14.961,14.96],[new Date(“2019-08-06”),14.935,14.94],[new Date(“2019-08-07”),15.056,15.06],[new Date(“2019-08-08”),15.048,15.05],[new Date(“2019-08-09”),15.254,15.25],[new Date(“2019-08-10”),15.254,15.25],[new Date(“2019-08-11”),15.285,15.29],[new Date(“2019-08-12”),15.297,15.30],[new Date(“2019-08-13”),15.139,15.14],[new Date(“2019-08-14”),15.420,15.42],[new Date(“2019-08-15”),15.261,15.26],[new Date(“2019-08-16”),15.305,15.30],[new Date(“2019-08-17”),15.305,15.30],[new Date(“2019-08-18”),15.300,15.30],[new Date(“2019-08-19”),15.462,15.46],[new Date(“2019-08-20”),15.364,15.36],[new Date(“2019-08-21”),15.199,15.20],[new Date(“2019-08-22”),15.229,15.23],[new Date(“2019-08-23”),15.252,15.25],[new Date(“2019-08-24”),15.252,15.25],[new Date(“2019-08-25”),15.356,15.36],[new Date(“2019-08-26”),15.275,15.27],[new Date(“2019-08-27”),15.335,15.33],[new Date(“2019-08-28”),15.403,15.40],[new Date(“2019-08-29”),15.327,15.33],[new Date(“2019-08-30”),15.185,15.18],[new Date(“2019-08-31″),15.185,15.18],]);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, 2019

01      14.1443
02      14.0816
↗0.063, 0.44%
03      14.0754
↗0.006, 0.04%
04      14.0572
↗0.018, 0.13%
05      14.1775
↘0.120, 0.86%
06      14.1775
→0.000, 0.00%
07      14.2102
↘0.033, 0.23%
08      14.1842
↗0.026, 0.18%
09      14.1881
↘0.004, 0.03%
10      13.9896
↗0.198, 1.40%
11      13.9624
↗0.027, 0.19%
12      13.9587
↗0.004, 0.03%
13      13.9587
→0.000, 0.00%
14      13.9728
↘0.014, 0.10%
15      13.9052
↗0.068, 0.48%
16      13.9563
↘0.051, 0.37%
17      14.0117
↘0.055, 0.40%
18      13.8715
↗0.140, 1.00%
19      13.9375
↘0.066, 0.48%
20      13.9375
→0.000, 0.00%
21      13.9274
↗0.010, 0.07%
22      13.8681
↗0.059, 0.43%
23      13.9387
↘0.071, 0.51%
24      13.8819
↗0.057, 0.41%
25      14.0882
↘0.206, 1.49%
26      14.2963
↘0.208, 1.48%
27      14.2963
→0.000, 0.00%
28      14.2573
↗0.039, 0.27%
29      14.1678
↗0.090, 0.63%
30      14.1888
↘0.021, 0.15%
31      14.3456
↘0.157, 1.11%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-07-01”),14.144,14.14],[new Date(“2019-07-02”),14.082,14.08],[new Date(“2019-07-03”),14.075,14.08],[new Date(“2019-07-04”),14.057,14.06],[new Date(“2019-07-05”),14.178,14.18],[new Date(“2019-07-06”),14.178,14.18],[new Date(“2019-07-07”),14.210,14.21],[new Date(“2019-07-08”),14.184,14.18],[new Date(“2019-07-09”),14.188,14.19],[new Date(“2019-07-10”),13.990,13.99],[new Date(“2019-07-11”),13.962,13.96],[new Date(“2019-07-12”),13.959,13.96],[new Date(“2019-07-13”),13.959,13.96],[new Date(“2019-07-14”),13.973,13.97],[new Date(“2019-07-15”),13.905,13.91],[new Date(“2019-07-16”),13.956,13.96],[new Date(“2019-07-17”),14.012,14.01],[new Date(“2019-07-18”),13.871,13.87],[new Date(“2019-07-19”),13.938,13.94],[new Date(“2019-07-20”),13.938,13.94],[new Date(“2019-07-21”),13.927,13.93],[new Date(“2019-07-22”),13.868,13.87],[new Date(“2019-07-23”),13.939,13.94],[new Date(“2019-07-24”),13.882,13.88],[new Date(“2019-07-25”),14.088,14.09],[new Date(“2019-07-26”),14.296,14.30],[new Date(“2019-07-27”),14.296,14.30],[new Date(“2019-07-28”),14.257,14.26],[new Date(“2019-07-29”),14.168,14.17],[new Date(“2019-07-30”),14.189,14.19],[new Date(“2019-07-31″),14.346,14.35],]);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_7’));
chart.draw(data, options);
}

June, 2019

01      14.5846
02      14.6147
↘0.030, 0.21%
03      14.4611
↗0.154, 1.05%
04      14.6423
↘0.181, 1.25%
05      14.8502
↘0.208, 1.42%
06      15.0187
↘0.168, 1.13%
07      14.9591
↗0.060, 0.40%
08      14.9591
→0.000, 0.00%
09      14.9335
↗0.026, 0.17%
10      14.8229
↗0.111, 0.74%
11      14.6682
↗0.155, 1.04%
12      14.8764
↘0.208, 1.42%
13      14.8615
↗0.015, 0.10%
14      14.8178
↗0.044, 0.29%
15      14.8178
→0.000, 0.00%
16      14.8060
↗0.012, 0.08%
17      14.8110
↘0.005, 0.03%
18      14.5255
↗0.286, 1.93%
19      14.3372
↗0.188, 1.30%
20      14.3489
↘0.012, 0.08%
21      14.3333
↗0.016, 0.11%
22      14.3333
→0.000, 0.00%
23      14.3243
↗0.009, 0.06%
24      14.3684
↘0.044, 0.31%
25      14.3402
↗0.028, 0.20%
26      14.2351
↗0.105, 0.73%
27      14.1729
↗0.062, 0.44%
28      14.0861
↗0.087, 0.61%
29      14.0861
→0.000, 0.00%
30      14.0854
↗0.001, 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(“2019-06-01”),14.585,14.58],[new Date(“2019-06-02”),14.615,14.61],[new Date(“2019-06-03”),14.461,14.46],[new Date(“2019-06-04”),14.642,14.64],[new Date(“2019-06-05”),14.850,14.85],[new Date(“2019-06-06”),15.019,15.02],[new Date(“2019-06-07”),14.959,14.96],[new Date(“2019-06-08”),14.959,14.96],[new Date(“2019-06-09”),14.934,14.93],[new Date(“2019-06-10”),14.823,14.82],[new Date(“2019-06-11”),14.668,14.67],[new Date(“2019-06-12”),14.876,14.88],[new Date(“2019-06-13”),14.862,14.86],[new Date(“2019-06-14”),14.818,14.82],[new Date(“2019-06-15”),14.818,14.82],[new Date(“2019-06-16”),14.806,14.81],[new Date(“2019-06-17”),14.811,14.81],[new Date(“2019-06-18”),14.526,14.53],[new Date(“2019-06-19”),14.337,14.34],[new Date(“2019-06-20”),14.349,14.35],[new Date(“2019-06-21”),14.333,14.33],[new Date(“2019-06-22”),14.333,14.33],[new Date(“2019-06-23”),14.324,14.32],[new Date(“2019-06-24”),14.368,14.37],[new Date(“2019-06-25”),14.340,14.34],[new Date(“2019-06-26”),14.235,14.24],[new Date(“2019-06-27”),14.173,14.17],[new Date(“2019-06-28”),14.086,14.09],[new Date(“2019-06-29”),14.086,14.09],[new Date(“2019-06-30″),14.085,14.09],]);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_6’));
chart.draw(data, options);
}

May, 2019

01      14.4501
02      14.5308
↘0.081, 0.56%
03      14.3510
↗0.180, 1.24%
04      14.3510
→0.000, 0.00%
05      14.4615
↘0.110, 0.77%
06      14.4675
↘0.006, 0.04%
07      14.4425
↗0.025, 0.17%
08      14.3742
↗0.068, 0.47%
09      14.3464
↗0.028, 0.19%
10      14.1598
↗0.187, 1.30%
11      14.1598
→0.000, 0.00%
12      14.2098
↘0.050, 0.35%
13      14.3380
↘0.128, 0.90%
14      14.2538
↗0.084, 0.59%
15      14.2196
↗0.034, 0.24%
16      14.2844
↘0.065, 0.46%
17      14.4416
↘0.157, 1.10%
18      14.4416
→0.000, 0.00%
19      14.4289
↗0.013, 0.09%
20      14.3774
↗0.051, 0.36%
21      14.4229
↘0.045, 0.32%
22      14.3747
↗0.048, 0.33%
23      14.4904
↘0.116, 0.80%
24      14.4036
↗0.087, 0.60%
25      14.4036
→0.000, 0.00%
26      14.4282
↘0.025, 0.17%
27      14.4363
↘0.008, 0.06%
28      14.7032
↘0.267, 1.85%
29      14.6438
↗0.059, 0.40%
30      14.7778
↘0.134, 0.92%
31      14.5846
↗0.193, 1.31%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-05-01”),14.450,14.45],[new Date(“2019-05-02”),14.531,14.53],[new Date(“2019-05-03”),14.351,14.35],[new Date(“2019-05-04”),14.351,14.35],[new Date(“2019-05-05”),14.461,14.46],[new Date(“2019-05-06”),14.467,14.47],[new Date(“2019-05-07”),14.443,14.44],[new Date(“2019-05-08”),14.374,14.37],[new Date(“2019-05-09”),14.346,14.35],[new Date(“2019-05-10”),14.160,14.16],[new Date(“2019-05-11”),14.160,14.16],[new Date(“2019-05-12”),14.210,14.21],[new Date(“2019-05-13”),14.338,14.34],[new Date(“2019-05-14”),14.254,14.25],[new Date(“2019-05-15”),14.220,14.22],[new Date(“2019-05-16”),14.284,14.28],[new Date(“2019-05-17”),14.442,14.44],[new Date(“2019-05-18”),14.442,14.44],[new Date(“2019-05-19”),14.429,14.43],[new Date(“2019-05-20”),14.377,14.38],[new Date(“2019-05-21”),14.423,14.42],[new Date(“2019-05-22”),14.375,14.37],[new Date(“2019-05-23”),14.490,14.49],[new Date(“2019-05-24”),14.404,14.40],[new Date(“2019-05-25”),14.404,14.40],[new Date(“2019-05-26”),14.428,14.43],[new Date(“2019-05-27”),14.436,14.44],[new Date(“2019-05-28”),14.703,14.70],[new Date(“2019-05-29”),14.644,14.64],[new Date(“2019-05-30”),14.778,14.78],[new Date(“2019-05-31″),14.585,14.58],]);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, 2019

01      14.1918
02      14.2176
↘0.026, 0.18%
03      14.1345
↗0.083, 0.58%
04      14.1194
↗0.015, 0.11%
05      14.0955
↗0.024, 0.17%
06      14.0955
→0.000, 0.00%
07      14.1019
↘0.006, 0.05%
08      14.1230
↘0.021, 0.15%
09      14.0851
↗0.038, 0.27%
10      13.9088
↗0.176, 1.25%
11      14.0137
↘0.105, 0.75%
12      13.9553
↗0.058, 0.42%
13      13.9553
→0.000, 0.00%
14      13.9675
↘0.012, 0.09%
15      14.0504
↘0.083, 0.59%
16      14.0339
↗0.016, 0.12%
17      13.9774
↗0.056, 0.40%
18      14.0539
↘0.076, 0.55%
19      14.0570
↘0.003, 0.02%
20      14.0570
→0.000, 0.00%
21      14.0796
↘0.023, 0.16%
22      14.1628
↘0.083, 0.59%
23      14.2682
↘0.105, 0.74%
24      14.4530
↘0.185, 1.30%
25      14.4225
↗0.031, 0.21%
26      14.3807
↗0.042, 0.29%
27      14.3807
→0.000, 0.00%
28      14.3676
↗0.013, 0.09%
29      14.3225
↗0.045, 0.31%
30      14.3041
↗0.018, 0.13%
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(“2019-04-01”),14.192,14.19],[new Date(“2019-04-02”),14.218,14.22],[new Date(“2019-04-03”),14.134,14.13],[new Date(“2019-04-04”),14.119,14.12],[new Date(“2019-04-05”),14.096,14.10],[new Date(“2019-04-06”),14.096,14.10],[new Date(“2019-04-07”),14.102,14.10],[new Date(“2019-04-08”),14.123,14.12],[new Date(“2019-04-09”),14.085,14.09],[new Date(“2019-04-10”),13.909,13.91],[new Date(“2019-04-11”),14.014,14.01],[new Date(“2019-04-12”),13.955,13.96],[new Date(“2019-04-13”),13.955,13.96],[new Date(“2019-04-14”),13.967,13.97],[new Date(“2019-04-15”),14.050,14.05],[new Date(“2019-04-16”),14.034,14.03],[new Date(“2019-04-17”),13.977,13.98],[new Date(“2019-04-18”),14.054,14.05],[new Date(“2019-04-19”),14.057,14.06],[new Date(“2019-04-20”),14.057,14.06],[new Date(“2019-04-21”),14.080,14.08],[new Date(“2019-04-22”),14.163,14.16],[new Date(“2019-04-23”),14.268,14.27],[new Date(“2019-04-24”),14.453,14.45],[new Date(“2019-04-25”),14.422,14.42],[new Date(“2019-04-26”),14.381,14.38],[new Date(“2019-04-27”),14.381,14.38],[new Date(“2019-04-28”),14.368,14.37],[new Date(“2019-04-29”),14.322,14.32],[new Date(“2019-04-30″),14.304,14.30],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2019

01      14.2290
02      14.2290
→0.000, 0.00%
03      14.1885
↗0.041, 0.28%
04      14.2025
↘0.014, 0.10%
05      14.1702
↗0.032, 0.23%
06      14.2711
↘0.101, 0.71%
07      14.5102
↘0.239, 1.68%
08      14.4399
↗0.070, 0.48%
09      14.4399
→0.000, 0.00%
10      14.4266
↗0.013, 0.09%
11      14.3124
↗0.114, 0.79%
12      14.3531
↘0.041, 0.28%
13      14.4229
↘0.070, 0.49%
14      14.5274
↘0.105, 0.72%
15      14.4138
↗0.114, 0.78%
16      14.4138
→0.000, 0.00%
17      14.4363
↘0.023, 0.16%
18      14.4343
↗0.002, 0.01%
19      14.5062
↘0.072, 0.50%
20      14.2367
↗0.269, 1.86%
21      14.2144
↗0.022, 0.16%
22      14.4925
↘0.278, 1.96%
23      14.4925
→0.000, 0.00%
24      14.4863
↗0.006, 0.04%
25      14.3154
↗0.171, 1.18%
26      14.4221
↘0.107, 0.75%
27      14.6141
↘0.192, 1.33%
28      14.5994
↗0.015, 0.10%
29      14.4975
↗0.102, 0.70%
30      14.4974
↗0.000, 0.00%
31      14.3421
↗0.155, 1.07%
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(“2019-03-01”),14.229,14.23],[new Date(“2019-03-02”),14.229,14.23],[new Date(“2019-03-03”),14.189,14.19],[new Date(“2019-03-04”),14.202,14.20],[new Date(“2019-03-05”),14.170,14.17],[new Date(“2019-03-06”),14.271,14.27],[new Date(“2019-03-07”),14.510,14.51],[new Date(“2019-03-08”),14.440,14.44],[new Date(“2019-03-09”),14.440,14.44],[new Date(“2019-03-10”),14.427,14.43],[new Date(“2019-03-11”),14.312,14.31],[new Date(“2019-03-12”),14.353,14.35],[new Date(“2019-03-13”),14.423,14.42],[new Date(“2019-03-14”),14.527,14.53],[new Date(“2019-03-15”),14.414,14.41],[new Date(“2019-03-16”),14.414,14.41],[new Date(“2019-03-17”),14.436,14.44],[new Date(“2019-03-18”),14.434,14.43],[new Date(“2019-03-19”),14.506,14.51],[new Date(“2019-03-20”),14.237,14.24],[new Date(“2019-03-21”),14.214,14.21],[new Date(“2019-03-22”),14.493,14.49],[new Date(“2019-03-23”),14.493,14.49],[new Date(“2019-03-24”),14.486,14.49],[new Date(“2019-03-25”),14.315,14.32],[new Date(“2019-03-26”),14.422,14.42],[new Date(“2019-03-27”),14.614,14.61],[new Date(“2019-03-28”),14.599,14.60],[new Date(“2019-03-29”),14.498,14.50],[new Date(“2019-03-30”),14.497,14.50],[new Date(“2019-03-31″),14.342,14.34],]);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, 2019

01      13.3213
02      13.3213
→0.000, 0.00%
03      13.3303
↘0.009, 0.07%
04      13.4252
↘0.095, 0.71%
05      13.3763
↗0.049, 0.36%
06      13.5341
↘0.158, 1.18%
07      13.6236
↘0.089, 0.66%
08      13.6274
↘0.004, 0.03%
09      13.6274
→0.000, 0.00%
10      13.6228
↗0.005, 0.03%
11      13.7967
↘0.174, 1.28%
12      13.7653
↗0.031, 0.23%
13      14.0475
↘0.282, 2.05%
14      14.1299
↘0.082, 0.59%
15      14.0690
↗0.061, 0.43%
16      14.0690
→0.000, 0.00%
17      14.0901
↘0.021, 0.15%
18      14.1062
↘0.016, 0.11%
19      14.0453
↗0.061, 0.43%
20      14.0237
↗0.022, 0.15%
21      14.0217
↗0.002, 0.01%
22      13.9978
↗0.024, 0.17%
23      13.9978
→0.000, 0.00%
24      13.9640
↗0.034, 0.24%
25      13.8314
↗0.133, 0.95%
26      13.8365
↘0.005, 0.04%
27      13.9301
↘0.094, 0.68%
28      14.0742
↘0.144, 1.03%
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(“2019-02-01”),13.321,13.32],[new Date(“2019-02-02”),13.321,13.32],[new Date(“2019-02-03”),13.330,13.33],[new Date(“2019-02-04”),13.425,13.43],[new Date(“2019-02-05”),13.376,13.38],[new Date(“2019-02-06”),13.534,13.53],[new Date(“2019-02-07”),13.624,13.62],[new Date(“2019-02-08”),13.627,13.63],[new Date(“2019-02-09”),13.627,13.63],[new Date(“2019-02-10”),13.623,13.62],[new Date(“2019-02-11”),13.797,13.80],[new Date(“2019-02-12”),13.765,13.77],[new Date(“2019-02-13”),14.047,14.05],[new Date(“2019-02-14”),14.130,14.13],[new Date(“2019-02-15”),14.069,14.07],[new Date(“2019-02-16”),14.069,14.07],[new Date(“2019-02-17”),14.090,14.09],[new Date(“2019-02-18”),14.106,14.11],[new Date(“2019-02-19”),14.045,14.05],[new Date(“2019-02-20”),14.024,14.02],[new Date(“2019-02-21”),14.022,14.02],[new Date(“2019-02-22”),13.998,14.00],[new Date(“2019-02-23”),13.998,14.00],[new Date(“2019-02-24”),13.964,13.96],[new Date(“2019-02-25”),13.831,13.83],[new Date(“2019-02-26”),13.836,13.84],[new Date(“2019-02-27”),13.930,13.93],[new Date(“2019-02-28″),14.074,14.07],]);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, 2019

01      14.3977
02      14.5901
↘0.192, 1.34%
03      14.3240
↗0.266, 1.82%
04      13.9623
↗0.362, 2.53%
05      13.9623
→0.000, 0.00%
06      13.9957
↘0.033, 0.24%
07      13.8757
↗0.120, 0.86%
08      13.9613
↘0.086, 0.62%
09      13.8589
↗0.102, 0.73%
10      13.8646
↘0.006, 0.04%
11      13.8351
↗0.029, 0.21%
12      13.8351
→0.000, 0.00%
13      13.8717
↘0.037, 0.26%
14      13.7781
↗0.094, 0.67%
15      13.7352
↗0.043, 0.31%
16      13.6903
↗0.045, 0.33%
17      13.7254
↘0.035, 0.26%
18      13.8304
↘0.105, 0.76%
19      13.8304
→0.000, 0.00%
20      13.8340
↘0.004, 0.03%
21      13.8248
↗0.009, 0.07%
22      13.9694
↘0.145, 1.05%
23      13.8227
↗0.147, 1.05%
24      13.7174
↗0.105, 0.76%
25      13.6204
↗0.097, 0.71%
26      13.6204
→0.000, 0.00%
27      13.6107
↗0.010, 0.07%
28      13.6667
↘0.056, 0.41%
29      13.6224
↗0.044, 0.32%
30      13.3429
↗0.279, 2.05%
31      13.2638
↗0.079, 0.59%
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(“2019-01-01”),14.398,14.40],[new Date(“2019-01-02”),14.590,14.59],[new Date(“2019-01-03”),14.324,14.32],[new Date(“2019-01-04”),13.962,13.96],[new Date(“2019-01-05”),13.962,13.96],[new Date(“2019-01-06”),13.996,14.00],[new Date(“2019-01-07”),13.876,13.88],[new Date(“2019-01-08”),13.961,13.96],[new Date(“2019-01-09”),13.859,13.86],[new Date(“2019-01-10”),13.865,13.86],[new Date(“2019-01-11”),13.835,13.84],[new Date(“2019-01-12”),13.835,13.84],[new Date(“2019-01-13”),13.872,13.87],[new Date(“2019-01-14”),13.778,13.78],[new Date(“2019-01-15”),13.735,13.74],[new Date(“2019-01-16”),13.690,13.69],[new Date(“2019-01-17”),13.725,13.73],[new Date(“2019-01-18”),13.830,13.83],[new Date(“2019-01-19”),13.830,13.83],[new Date(“2019-01-20”),13.834,13.83],[new Date(“2019-01-21”),13.825,13.82],[new Date(“2019-01-22”),13.969,13.97],[new Date(“2019-01-23”),13.823,13.82],[new Date(“2019-01-24”),13.717,13.72],[new Date(“2019-01-25”),13.620,13.62],[new Date(“2019-01-26”),13.620,13.62],[new Date(“2019-01-27”),13.611,13.61],[new Date(“2019-01-28”),13.667,13.67],[new Date(“2019-01-29”),13.622,13.62],[new Date(“2019-01-30”),13.343,13.34],[new Date(“2019-01-31″),13.264,13.26],]);var options = {
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title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}