Algerian Dinar DZD 2019 Conversion Rates

  • Opening Value is 118.144973 DZD per Dollar
  • Closing Value is 119.082350 DZD per Dollar
  • Change in Value during 2019 is 0.9374 which is 0.79%
  • Best Performance is on 2019-01-09 with 117.765012 DZD per Dollar
  • Lowest Performance is on 2019-09-28 with 120.665040 DZD per Dollar
  • Average Value is 119.4011 DZD per Dollar
  • Swing Between the higest and the lowest is 2.9000 per Dollar, that is 2.45% compared to the opening value.

USD to DZD Conversion Rates – 12 months

Date 1 USD =
2019-12-31 119.0824 DZD
2019-11-30 120.2607 DZD
2019-10-31 119.5401 DZD
2019-09-30 120.6101 DZD
2019-08-31 119.8504 DZD
2019-07-31 119.9401 DZD
2019-06-30 118.6450 DZD
2019-05-31 119.7804 DZD
2019-04-30 119.4929 DZD
2019-03-31 119.5650 DZD
2019-02-28 118.3501 DZD
2019-01-31 118.2798 DZD
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-12-31”),119.082,119.08],[new Date(“2019-11-30”),120.261,120.26],[new Date(“2019-10-31”),119.540,119.54],[new Date(“2019-09-30”),120.610,120.61],[new Date(“2019-08-31”),119.850,119.85],[new Date(“2019-07-31”),119.940,119.94],[new Date(“2019-06-30”),118.645,118.64],[new Date(“2019-05-31”),119.780,119.78],[new Date(“2019-04-30”),119.493,119.49],[new Date(“2019-03-31”),119.565,119.57],[new Date(“2019-02-28”),118.350,118.35],[new Date(“2019-01-31”),118.280,118.28],]);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      120.2607
02      120.0570
↗0.204, 0.17%
03      119.9110
↗0.146, 0.12%
04      119.8650
↗0.046, 0.04%
05      119.5960
↗0.269, 0.22%
06      119.7704
↘0.174, 0.15%
07      119.7704
→0.000, 0.00%
08      119.7699
↗0.000, 0.00%
09      119.7710
↘0.001, 0.00%
10      119.6385
↗0.132, 0.11%
11      119.5195
↗0.119, 0.10%
12      119.2750
↗0.244, 0.20%
13      119.5126
↘0.238, 0.20%
14      119.5126
→0.000, 0.00%
15      119.5126
→0.000, 0.00%
16      119.4593
↗0.053, 0.04%
17      119.4061
↗0.053, 0.04%
18      119.5504
↘0.144, 0.12%
19      119.5315
↗0.019, 0.02%
20      119.7475
↘0.216, 0.18%
21      119.7475
→0.000, 0.00%
22      119.7475
→0.000, 0.00%
23      119.6640
↗0.084, 0.07%
24      119.6730
↘0.009, 0.01%
25      119.7050
↘0.032, 0.03%
26      119.7500
↘0.045, 0.04%
27      119.3204
↗0.430, 0.36%
28      119.3204
→0.000, 0.00%
29      119.3202
↗0.000, 0.00%
30      119.1650
↗0.155, 0.13%
31      119.0824
↗0.083, 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(“2019-12-01”),120.261,120.26],[new Date(“2019-12-02”),120.057,120.06],[new Date(“2019-12-03”),119.911,119.91],[new Date(“2019-12-04”),119.865,119.87],[new Date(“2019-12-05”),119.596,119.60],[new Date(“2019-12-06”),119.770,119.77],[new Date(“2019-12-07”),119.770,119.77],[new Date(“2019-12-08”),119.770,119.77],[new Date(“2019-12-09”),119.771,119.77],[new Date(“2019-12-10”),119.639,119.64],[new Date(“2019-12-11”),119.519,119.52],[new Date(“2019-12-12”),119.275,119.28],[new Date(“2019-12-13”),119.513,119.51],[new Date(“2019-12-14”),119.513,119.51],[new Date(“2019-12-15”),119.513,119.51],[new Date(“2019-12-16”),119.459,119.46],[new Date(“2019-12-17”),119.406,119.41],[new Date(“2019-12-18”),119.550,119.55],[new Date(“2019-12-19”),119.531,119.53],[new Date(“2019-12-20”),119.748,119.75],[new Date(“2019-12-21”),119.748,119.75],[new Date(“2019-12-22”),119.748,119.75],[new Date(“2019-12-23”),119.664,119.66],[new Date(“2019-12-24”),119.673,119.67],[new Date(“2019-12-25”),119.705,119.71],[new Date(“2019-12-26”),119.750,119.75],[new Date(“2019-12-27”),119.320,119.32],[new Date(“2019-12-28”),119.320,119.32],[new Date(“2019-12-29”),119.320,119.32],[new Date(“2019-12-30”),119.165,119.16],[new Date(“2019-12-31″),119.082,119.08],]);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_12’));
chart.draw(data, options);
}

November, 2019

01      119.4950
02      119.4950
→0.000, 0.00%
03      119.4950
↗0.000, 0.00%
04      119.6510
↘0.156, 0.13%
05      119.8704
↘0.219, 0.18%
06      119.9510
↘0.081, 0.07%
07      120.0190
↘0.068, 0.06%
08      120.1320
↘0.113, 0.09%
09      120.1320
→0.000, 0.00%
10      120.1320
→0.000, 0.00%
11      119.9370
↗0.195, 0.16%
12      120.0198
↘0.083, 0.07%
13      120.0509
↘0.031, 0.03%
14      120.1450
↘0.094, 0.08%
15      120.0344
↗0.111, 0.09%
16      120.0583
↘0.024, 0.02%
17      120.0583
→0.000, 0.00%
18      119.7499
↗0.308, 0.26%
19      119.8798
↘0.130, 0.11%
20      119.9540
↘0.074, 0.06%
21      119.9774
↘0.023, 0.02%
22      119.9853
↘0.008, 0.01%
23      119.9853
→0.000, 0.00%
24      119.9853
↗0.000, 0.00%
25      120.1893
↘0.204, 0.17%
26      120.1503
↗0.039, 0.03%
27      120.0590
↗0.091, 0.08%
28      120.2670
↘0.208, 0.17%
29      120.2951
↘0.028, 0.02%
30      120.2607
↗0.034, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-11-01”),119.495,119.50],[new Date(“2019-11-02”),119.495,119.50],[new Date(“2019-11-03”),119.495,119.49],[new Date(“2019-11-04”),119.651,119.65],[new Date(“2019-11-05”),119.870,119.87],[new Date(“2019-11-06”),119.951,119.95],[new Date(“2019-11-07”),120.019,120.02],[new Date(“2019-11-08”),120.132,120.13],[new Date(“2019-11-09”),120.132,120.13],[new Date(“2019-11-10”),120.132,120.13],[new Date(“2019-11-11”),119.937,119.94],[new Date(“2019-11-12”),120.020,120.02],[new Date(“2019-11-13”),120.051,120.05],[new Date(“2019-11-14”),120.145,120.14],[new Date(“2019-11-15”),120.034,120.03],[new Date(“2019-11-16”),120.058,120.06],[new Date(“2019-11-17”),120.058,120.06],[new Date(“2019-11-18”),119.750,119.75],[new Date(“2019-11-19”),119.880,119.88],[new Date(“2019-11-20”),119.954,119.95],[new Date(“2019-11-21”),119.977,119.98],[new Date(“2019-11-22”),119.985,119.99],[new Date(“2019-11-23”),119.985,119.99],[new Date(“2019-11-24”),119.985,119.99],[new Date(“2019-11-25”),120.189,120.19],[new Date(“2019-11-26”),120.150,120.15],[new Date(“2019-11-27”),120.059,120.06],[new Date(“2019-11-28”),120.267,120.27],[new Date(“2019-11-29”),120.295,120.30],[new Date(“2019-11-30″),120.261,120.26],]);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      120.4250
02      120.2950
↗0.130, 0.11%
03      120.3850
↘0.090, 0.07%
04      120.2204
↗0.165, 0.14%
05      120.1850
↗0.035, 0.03%
06      120.1850
↗0.000, 0.00%
07      120.4501
↘0.265, 0.22%
08      120.4849
↘0.035, 0.03%
09      120.4203
↗0.065, 0.05%
10      120.1103
↗0.310, 0.26%
11      120.0150
↗0.095, 0.08%
12      120.0150
→0.000, 0.00%
13      120.0154
↘0.000, 0.00%
14      119.9880
↗0.027, 0.02%
15      120.0208
↘0.033, 0.03%
16      119.8149
↗0.206, 0.17%
17      119.5850
↗0.230, 0.19%
18      119.3640
↗0.221, 0.18%
19      119.3640
→0.000, 0.00%
20      119.3640
↗0.000, 0.00%
21      119.4399
↘0.076, 0.06%
22      119.6883
↘0.248, 0.21%
23      119.5030
↗0.185, 0.15%
24      119.5533
↘0.050, 0.04%
25      119.6769
↘0.124, 0.10%
26      119.6769
→0.000, 0.00%
27      119.6769
→0.000, 0.00%
28      119.7045
↘0.028, 0.02%
29      119.7290
↘0.025, 0.02%
30      119.5750
↗0.154, 0.13%
31      119.5401
↗0.035, 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(“2019-10-01”),120.425,120.43],[new Date(“2019-10-02”),120.295,120.30],[new Date(“2019-10-03”),120.385,120.39],[new Date(“2019-10-04”),120.220,120.22],[new Date(“2019-10-05”),120.185,120.19],[new Date(“2019-10-06”),120.185,120.18],[new Date(“2019-10-07”),120.450,120.45],[new Date(“2019-10-08”),120.485,120.48],[new Date(“2019-10-09”),120.420,120.42],[new Date(“2019-10-10”),120.110,120.11],[new Date(“2019-10-11”),120.015,120.02],[new Date(“2019-10-12”),120.015,120.02],[new Date(“2019-10-13”),120.015,120.02],[new Date(“2019-10-14”),119.988,119.99],[new Date(“2019-10-15”),120.021,120.02],[new Date(“2019-10-16”),119.815,119.81],[new Date(“2019-10-17”),119.585,119.58],[new Date(“2019-10-18”),119.364,119.36],[new Date(“2019-10-19”),119.364,119.36],[new Date(“2019-10-20”),119.364,119.36],[new Date(“2019-10-21”),119.440,119.44],[new Date(“2019-10-22”),119.688,119.69],[new Date(“2019-10-23”),119.503,119.50],[new Date(“2019-10-24”),119.553,119.55],[new Date(“2019-10-25”),119.677,119.68],[new Date(“2019-10-26”),119.677,119.68],[new Date(“2019-10-27”),119.677,119.68],[new Date(“2019-10-28”),119.704,119.70],[new Date(“2019-10-29”),119.729,119.73],[new Date(“2019-10-30”),119.575,119.58],[new Date(“2019-10-31″),119.540,119.54],]);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_10’));
chart.draw(data, options);
}

September, 2019

01      119.8502
02      120.5502
↘0.700, 0.58%
03      120.4994
↗0.051, 0.04%
04      120.2297
↗0.270, 0.22%
05      120.0799
↗0.150, 0.12%
06      120.2039
↘0.124, 0.10%
07      119.0504
↗1.153, 0.96%
08      119.0498
↗0.001, 0.00%
09      120.0904
↘1.041, 0.87%
10      119.9101
↗0.180, 0.15%
11      120.0650
↘0.155, 0.13%
12      120.0950
↘0.030, 0.02%
13      119.9604
↗0.135, 0.11%
14      119.9604
→0.000, 0.00%
15      119.9603
↗0.000, 0.00%
16      120.2197
↘0.259, 0.22%
17      119.8197
↗0.400, 0.33%
18      120.1649
↘0.345, 0.29%
19      119.9404
↗0.225, 0.19%
20      120.1504
↘0.210, 0.18%
21      120.1504
→0.000, 0.00%
22      120.1496
↗0.001, 0.00%
23      119.6450
↗0.505, 0.42%
24      120.2150
↘0.570, 0.48%
25      120.3502
↘0.135, 0.11%
26      120.6101
↘0.260, 0.22%
27      120.6604
↘0.050, 0.04%
28      120.6650
↘0.005, 0.00%
29      120.6650
↗0.000, 0.00%
30      120.6101
↗0.055, 0.05%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-09-01”),119.850,119.85],[new Date(“2019-09-02”),120.550,120.55],[new Date(“2019-09-03”),120.499,120.50],[new Date(“2019-09-04”),120.230,120.23],[new Date(“2019-09-05”),120.080,120.08],[new Date(“2019-09-06”),120.204,120.20],[new Date(“2019-09-07”),119.050,119.05],[new Date(“2019-09-08”),119.050,119.05],[new Date(“2019-09-09”),120.090,120.09],[new Date(“2019-09-10”),119.910,119.91],[new Date(“2019-09-11”),120.065,120.07],[new Date(“2019-09-12”),120.095,120.10],[new Date(“2019-09-13”),119.960,119.96],[new Date(“2019-09-14”),119.960,119.96],[new Date(“2019-09-15”),119.960,119.96],[new Date(“2019-09-16”),120.220,120.22],[new Date(“2019-09-17”),119.820,119.82],[new Date(“2019-09-18”),120.165,120.16],[new Date(“2019-09-19”),119.940,119.94],[new Date(“2019-09-20”),120.150,120.15],[new Date(“2019-09-21”),120.150,120.15],[new Date(“2019-09-22”),120.150,120.15],[new Date(“2019-09-23”),119.645,119.65],[new Date(“2019-09-24”),120.215,120.22],[new Date(“2019-09-25”),120.350,120.35],[new Date(“2019-09-26”),120.610,120.61],[new Date(“2019-09-27”),120.660,120.66],[new Date(“2019-09-28”),120.665,120.67],[new Date(“2019-09-29”),120.665,120.67],[new Date(“2019-09-30″),120.610,120.61],]);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      119.8801
02      120.0304
↘0.150, 0.13%
03      120.0304
→0.000, 0.00%
04      120.0303
↗0.000, 0.00%
05      119.1799
↗0.850, 0.71%
06      119.5504
↘0.370, 0.31%
07      119.4803
↗0.070, 0.06%
08      119.5550
↘0.075, 0.06%
09      119.3504
↗0.205, 0.17%
10      119.3504
→0.000, 0.00%
11      119.3499
↗0.001, 0.00%
12      119.4399
↘0.090, 0.08%
13      119.6101
↘0.170, 0.14%
14      119.7597
↘0.150, 0.13%
15      119.8301
↘0.070, 0.06%
16      119.9504
↘0.120, 0.10%
17      119.9504
→0.000, 0.00%
18      119.9504
↘0.000, 0.00%
19      120.0001
↘0.050, 0.04%
20      120.1503
↘0.150, 0.13%
21      119.9601
↗0.190, 0.16%
22      119.9698
↘0.010, 0.01%
23      119.7504
↗0.219, 0.18%
24      118.7450
↗1.005, 0.84%
25      118.7450
↗0.000, 0.00%
26      119.9035
↘1.158, 0.98%
27      119.9404
↘0.037, 0.03%
28      120.0989
↘0.158, 0.13%
29      120.0050
↗0.094, 0.08%
30      119.8504
↗0.155, 0.13%
31      119.8504
→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”),119.880,119.88],[new Date(“2019-08-02”),120.030,120.03],[new Date(“2019-08-03”),120.030,120.03],[new Date(“2019-08-04”),120.030,120.03],[new Date(“2019-08-05”),119.180,119.18],[new Date(“2019-08-06”),119.550,119.55],[new Date(“2019-08-07”),119.480,119.48],[new Date(“2019-08-08”),119.555,119.55],[new Date(“2019-08-09”),119.350,119.35],[new Date(“2019-08-10”),119.350,119.35],[new Date(“2019-08-11”),119.350,119.35],[new Date(“2019-08-12”),119.440,119.44],[new Date(“2019-08-13”),119.610,119.61],[new Date(“2019-08-14”),119.760,119.76],[new Date(“2019-08-15”),119.830,119.83],[new Date(“2019-08-16”),119.950,119.95],[new Date(“2019-08-17”),119.950,119.95],[new Date(“2019-08-18”),119.950,119.95],[new Date(“2019-08-19”),120.000,120.00],[new Date(“2019-08-20”),120.150,120.15],[new Date(“2019-08-21”),119.960,119.96],[new Date(“2019-08-22”),119.970,119.97],[new Date(“2019-08-23”),119.750,119.75],[new Date(“2019-08-24”),118.745,118.75],[new Date(“2019-08-25”),118.745,118.74],[new Date(“2019-08-26”),119.903,119.90],[new Date(“2019-08-27”),119.940,119.94],[new Date(“2019-08-28”),120.099,120.10],[new Date(“2019-08-29”),120.005,120.01],[new Date(“2019-08-30”),119.850,119.85],[new Date(“2019-08-31″),119.850,119.85],]);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      118.8650
02      118.9402
↘0.075, 0.06%
03      119.1301
↘0.190, 0.16%
04      118.9403
↗0.190, 0.16%
05      119.0504
↘0.110, 0.09%
06      119.0504
→0.000, 0.00%
07      119.0503
↗0.000, 0.00%
08      119.2498
↘0.200, 0.17%
09      119.5103
↘0.261, 0.22%
10      119.2401
↗0.270, 0.23%
11      119.1963
↗0.044, 0.04%
12      119.1704
↗0.026, 0.02%
13      119.1704
→0.000, 0.00%
14      119.1700
↗0.000, 0.00%
15      119.1299
↗0.040, 0.03%
16      119.2150
↘0.085, 0.07%
17      119.2050
↗0.010, 0.01%
18      119.2550
↘0.050, 0.04%
19      119.3650
↘0.110, 0.09%
20      119.1850
↗0.180, 0.15%
21      119.1850
↗0.000, 0.00%
22      119.2602
↘0.075, 0.06%
23      119.5200
↘0.260, 0.22%
24      119.7195
↘0.200, 0.17%
25      119.4851
↗0.234, 0.20%
26      119.6904
↘0.205, 0.17%
27      119.6904
→0.000, 0.00%
28      119.6903
↗0.000, 0.00%
29      119.8197
↘0.129, 0.11%
30      119.7099
↗0.110, 0.09%
31      119.9401
↘0.230, 0.19%
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”),118.865,118.87],[new Date(“2019-07-02”),118.940,118.94],[new Date(“2019-07-03”),119.130,119.13],[new Date(“2019-07-04”),118.940,118.94],[new Date(“2019-07-05”),119.050,119.05],[new Date(“2019-07-06”),119.050,119.05],[new Date(“2019-07-07”),119.050,119.05],[new Date(“2019-07-08”),119.250,119.25],[new Date(“2019-07-09”),119.510,119.51],[new Date(“2019-07-10”),119.240,119.24],[new Date(“2019-07-11”),119.196,119.20],[new Date(“2019-07-12”),119.170,119.17],[new Date(“2019-07-13”),119.170,119.17],[new Date(“2019-07-14”),119.170,119.17],[new Date(“2019-07-15”),119.130,119.13],[new Date(“2019-07-16”),119.215,119.21],[new Date(“2019-07-17”),119.205,119.21],[new Date(“2019-07-18”),119.255,119.26],[new Date(“2019-07-19”),119.365,119.37],[new Date(“2019-07-20”),119.185,119.19],[new Date(“2019-07-21”),119.185,119.18],[new Date(“2019-07-22”),119.260,119.26],[new Date(“2019-07-23”),119.520,119.52],[new Date(“2019-07-24”),119.720,119.72],[new Date(“2019-07-25”),119.485,119.49],[new Date(“2019-07-26”),119.690,119.69],[new Date(“2019-07-27”),119.690,119.69],[new Date(“2019-07-28”),119.690,119.69],[new Date(“2019-07-29”),119.820,119.82],[new Date(“2019-07-30”),119.710,119.71],[new Date(“2019-07-31″),119.940,119.94],]);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      119.7804
02      119.4650
↗0.315, 0.26%
03      119.4502
↗0.015, 0.01%
04      119.2450
↗0.205, 0.17%
05      119.2050
↗0.040, 0.03%
06      119.2806
↘0.076, 0.06%
07      119.3604
↘0.080, 0.07%
08      119.3604
→0.000, 0.00%
09      119.3600
↗0.000, 0.00%
10      118.9300
↗0.430, 0.36%
11      119.0802
↘0.150, 0.13%
12      119.1900
↘0.110, 0.09%
13      119.2202
↘0.030, 0.03%
14      119.5304
↘0.310, 0.26%
15      119.2650
↗0.265, 0.22%
16      119.2650
↗0.000, 0.00%
17      119.5303
↘0.265, 0.22%
18      119.5700
↘0.040, 0.03%
19      119.4705
↗0.100, 0.08%
20      119.1699
↗0.301, 0.25%
21      118.8550
↗0.315, 0.26%
22      118.8550
→0.000, 0.00%
23      118.8550
↗0.000, 0.00%
24      118.7201
↗0.135, 0.11%
25      118.8096
↘0.090, 0.08%
26      118.7700
↗0.040, 0.03%
27      118.7976
↘0.028, 0.02%
28      118.6450
↗0.153, 0.13%
29      118.6450
→0.000, 0.00%
30      118.6450
↗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(“2019-06-01”),119.780,119.78],[new Date(“2019-06-02”),119.465,119.46],[new Date(“2019-06-03”),119.450,119.45],[new Date(“2019-06-04”),119.245,119.24],[new Date(“2019-06-05”),119.205,119.21],[new Date(“2019-06-06”),119.281,119.28],[new Date(“2019-06-07”),119.360,119.36],[new Date(“2019-06-08”),119.360,119.36],[new Date(“2019-06-09”),119.360,119.36],[new Date(“2019-06-10”),118.930,118.93],[new Date(“2019-06-11”),119.080,119.08],[new Date(“2019-06-12”),119.190,119.19],[new Date(“2019-06-13”),119.220,119.22],[new Date(“2019-06-14”),119.530,119.53],[new Date(“2019-06-15”),119.265,119.27],[new Date(“2019-06-16”),119.265,119.27],[new Date(“2019-06-17”),119.530,119.53],[new Date(“2019-06-18”),119.570,119.57],[new Date(“2019-06-19”),119.470,119.47],[new Date(“2019-06-20”),119.170,119.17],[new Date(“2019-06-21”),118.855,118.86],[new Date(“2019-06-22”),118.855,118.86],[new Date(“2019-06-23”),118.855,118.85],[new Date(“2019-06-24”),118.720,118.72],[new Date(“2019-06-25”),118.810,118.81],[new Date(“2019-06-26”),118.770,118.77],[new Date(“2019-06-27”),118.798,118.80],[new Date(“2019-06-28”),118.645,118.65],[new Date(“2019-06-29”),118.645,118.65],[new Date(“2019-06-30″),118.645,118.64],]);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      119.5031
02      119.5201
↘0.017, 0.01%
03      119.6504
↘0.130, 0.11%
04      119.6504
→0.000, 0.00%
05      119.6497
↗0.001, 0.00%
06      119.5971
↗0.053, 0.04%
07      119.6097
↘0.013, 0.01%
08      119.4201
↗0.190, 0.16%
09      119.4701
↘0.050, 0.04%
10      119.4404
↗0.030, 0.02%
11      119.4404
→0.000, 0.00%
12      119.4399
↗0.001, 0.00%
13      119.2702
↗0.170, 0.14%
14      119.3801
↘0.110, 0.09%
15      119.6197
↘0.240, 0.20%
16      119.5050
↗0.115, 0.10%
17      119.5704
↘0.065, 0.05%
18      119.5704
→0.000, 0.00%
19      119.5698
↗0.001, 0.00%
20      119.6202
↘0.050, 0.04%
21      119.7399
↘0.120, 0.10%
22      119.8097
↘0.070, 0.06%
23      119.8502
↘0.040, 0.03%
24      119.6804
↗0.170, 0.14%
25      119.6039
↗0.077, 0.06%
26      119.6075
↘0.004, 0.00%
27      119.6599
↘0.052, 0.04%
28      119.5897
↗0.070, 0.06%
29      119.8783
↘0.289, 0.24%
30      119.7403
↗0.138, 0.12%
31      119.7804
↘0.040, 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(“2019-05-01”),119.503,119.50],[new Date(“2019-05-02”),119.520,119.52],[new Date(“2019-05-03”),119.650,119.65],[new Date(“2019-05-04”),119.650,119.65],[new Date(“2019-05-05”),119.650,119.65],[new Date(“2019-05-06”),119.597,119.60],[new Date(“2019-05-07”),119.610,119.61],[new Date(“2019-05-08”),119.420,119.42],[new Date(“2019-05-09”),119.470,119.47],[new Date(“2019-05-10”),119.440,119.44],[new Date(“2019-05-11”),119.440,119.44],[new Date(“2019-05-12”),119.440,119.44],[new Date(“2019-05-13”),119.270,119.27],[new Date(“2019-05-14”),119.380,119.38],[new Date(“2019-05-15”),119.620,119.62],[new Date(“2019-05-16”),119.505,119.50],[new Date(“2019-05-17”),119.570,119.57],[new Date(“2019-05-18”),119.570,119.57],[new Date(“2019-05-19”),119.570,119.57],[new Date(“2019-05-20”),119.620,119.62],[new Date(“2019-05-21”),119.740,119.74],[new Date(“2019-05-22”),119.810,119.81],[new Date(“2019-05-23”),119.850,119.85],[new Date(“2019-05-24”),119.680,119.68],[new Date(“2019-05-25”),119.604,119.60],[new Date(“2019-05-26”),119.608,119.61],[new Date(“2019-05-27”),119.660,119.66],[new Date(“2019-05-28”),119.590,119.59],[new Date(“2019-05-29”),119.878,119.88],[new Date(“2019-05-30”),119.740,119.74],[new Date(“2019-05-31″),119.780,119.78],]);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      119.3750
02      119.5797
↘0.205, 0.17%
03      119.3850
↗0.195, 0.16%
04      119.4450
↘0.060, 0.05%
05      119.3550
↗0.090, 0.08%
06      119.3550
→0.000, 0.00%
07      119.3550
↗0.000, 0.00%
08      119.1402
↗0.215, 0.18%
09      119.2899
↘0.150, 0.13%
10      119.0899
↗0.200, 0.17%
11      119.3301
↘0.240, 0.20%
12      119.2104
↗0.120, 0.10%
13      118.9804
↗0.230, 0.19%
14      118.9803
↗0.000, 0.00%
15      118.9695
↗0.011, 0.01%
16      119.2550
↘0.286, 0.24%
17      119.0050
↗0.250, 0.21%
18      119.2780
↘0.273, 0.23%
19      119.2504
↗0.028, 0.02%
20      119.2504
→0.000, 0.00%
21      119.2502
↗0.000, 0.00%
22      119.3250
↘0.075, 0.06%
23      119.3401
↘0.015, 0.01%
24      119.8150
↘0.475, 0.40%
25      119.8898
↘0.075, 0.06%
26      119.7850
↗0.105, 0.09%
27      119.5850
↗0.200, 0.17%
28      119.5850
↗0.000, 0.00%
29      119.7401
↘0.155, 0.13%
30      119.4929
↗0.247, 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(“2019-04-01”),119.375,119.38],[new Date(“2019-04-02”),119.580,119.58],[new Date(“2019-04-03”),119.385,119.39],[new Date(“2019-04-04”),119.445,119.44],[new Date(“2019-04-05”),119.355,119.36],[new Date(“2019-04-06”),119.355,119.36],[new Date(“2019-04-07”),119.355,119.35],[new Date(“2019-04-08”),119.140,119.14],[new Date(“2019-04-09”),119.290,119.29],[new Date(“2019-04-10”),119.090,119.09],[new Date(“2019-04-11”),119.330,119.33],[new Date(“2019-04-12”),119.210,119.21],[new Date(“2019-04-13”),118.980,118.98],[new Date(“2019-04-14”),118.980,118.98],[new Date(“2019-04-15”),118.969,118.97],[new Date(“2019-04-16”),119.255,119.25],[new Date(“2019-04-17”),119.005,119.00],[new Date(“2019-04-18”),119.278,119.28],[new Date(“2019-04-19”),119.250,119.25],[new Date(“2019-04-20”),119.250,119.25],[new Date(“2019-04-21”),119.250,119.25],[new Date(“2019-04-22”),119.325,119.33],[new Date(“2019-04-23”),119.340,119.34],[new Date(“2019-04-24”),119.815,119.81],[new Date(“2019-04-25”),119.890,119.89],[new Date(“2019-04-26”),119.785,119.79],[new Date(“2019-04-27”),119.585,119.59],[new Date(“2019-04-28”),119.585,119.58],[new Date(“2019-04-29”),119.740,119.74],[new Date(“2019-04-30″),119.493,119.49],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2019

01      118.6104
02      118.6104
→0.000, 0.00%
03      118.6102
↗0.000, 0.00%
04      118.6402
↘0.030, 0.03%
05      118.7102
↘0.070, 0.06%
06      118.7403
↘0.030, 0.03%
07      119.4750
↘0.735, 0.62%
08      119.6039
↘0.129, 0.11%
09      119.6039
→0.000, 0.00%
10      119.5650
↗0.039, 0.03%
11      119.4402
↗0.125, 0.10%
12      119.3050
↗0.135, 0.11%
13      119.0803
↗0.225, 0.19%
14      118.9999
↗0.080, 0.07%
15      118.9704
↗0.029, 0.02%
16      118.9704
→0.000, 0.00%
17      118.9699
↗0.000, 0.00%
18      118.6797
↗0.290, 0.24%
19      118.8101
↘0.130, 0.11%
20      118.3902
↗0.420, 0.35%
21      118.5503
↘0.160, 0.14%
22      119.0304
↘0.480, 0.40%
23      119.0304
→0.000, 0.00%
24      119.0300
↗0.000, 0.00%
25      118.9702
↗0.060, 0.05%
26      119.0195
↘0.049, 0.04%
27      119.2202
↘0.201, 0.17%
28      119.4050
↘0.185, 0.16%
29      119.5650
↘0.160, 0.13%
30      119.5650
→0.000, 0.00%
31      119.5650
↗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(“2019-03-01”),118.610,118.61],[new Date(“2019-03-02”),118.610,118.61],[new Date(“2019-03-03”),118.610,118.61],[new Date(“2019-03-04”),118.640,118.64],[new Date(“2019-03-05”),118.710,118.71],[new Date(“2019-03-06”),118.740,118.74],[new Date(“2019-03-07”),119.475,119.48],[new Date(“2019-03-08”),119.604,119.60],[new Date(“2019-03-09”),119.604,119.60],[new Date(“2019-03-10”),119.565,119.57],[new Date(“2019-03-11”),119.440,119.44],[new Date(“2019-03-12”),119.305,119.31],[new Date(“2019-03-13”),119.080,119.08],[new Date(“2019-03-14”),119.000,119.00],[new Date(“2019-03-15”),118.970,118.97],[new Date(“2019-03-16”),118.970,118.97],[new Date(“2019-03-17”),118.970,118.97],[new Date(“2019-03-18”),118.680,118.68],[new Date(“2019-03-19”),118.810,118.81],[new Date(“2019-03-20”),118.390,118.39],[new Date(“2019-03-21”),118.550,118.55],[new Date(“2019-03-22”),119.030,119.03],[new Date(“2019-03-23”),119.030,119.03],[new Date(“2019-03-24”),119.030,119.03],[new Date(“2019-03-25”),118.970,118.97],[new Date(“2019-03-26”),119.020,119.02],[new Date(“2019-03-27”),119.220,119.22],[new Date(“2019-03-28”),119.405,119.40],[new Date(“2019-03-29”),119.565,119.57],[new Date(“2019-03-30”),119.565,119.57],[new Date(“2019-03-31″),119.565,119.57],]);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      118.0504
02      118.0504
→0.000, 0.00%
03      118.0502
↗0.000, 0.00%
04      117.9899
↗0.060, 0.05%
05      118.3300
↘0.340, 0.29%
06      118.4799
↘0.150, 0.13%
07      118.6798
↘0.200, 0.17%
08      118.8404
↘0.161, 0.14%
09      118.8404
→0.000, 0.00%
10      118.8402
↗0.000, 0.00%
11      119.0350
↘0.195, 0.16%
12      118.8301
↗0.205, 0.17%
13      119.1150
↘0.285, 0.24%
14      118.9099
↗0.205, 0.17%
15      118.8750
↗0.035, 0.03%
16      118.8750
→0.000, 0.00%
17      118.8750
↗0.000, 0.00%
18      118.9103
↘0.035, 0.03%
19      118.6400
↗0.270, 0.23%
20      118.5750
↗0.065, 0.05%
21      118.5950
↘0.020, 0.02%
22      118.7650
↘0.170, 0.14%
23      118.7604
↗0.005, 0.00%
24      118.6694
↗0.091, 0.08%
25      118.4901
↗0.179, 0.15%
26      118.5504
↘0.060, 0.05%
27      118.4205
↗0.130, 0.11%
28      118.3501
↗0.070, 0.06%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-02-01”),118.050,118.05],[new Date(“2019-02-02”),118.050,118.05],[new Date(“2019-02-03”),118.050,118.05],[new Date(“2019-02-04”),117.990,117.99],[new Date(“2019-02-05”),118.330,118.33],[new Date(“2019-02-06”),118.480,118.48],[new Date(“2019-02-07”),118.680,118.68],[new Date(“2019-02-08”),118.840,118.84],[new Date(“2019-02-09”),118.840,118.84],[new Date(“2019-02-10”),118.840,118.84],[new Date(“2019-02-11”),119.035,119.04],[new Date(“2019-02-12”),118.830,118.83],[new Date(“2019-02-13”),119.115,119.11],[new Date(“2019-02-14”),118.910,118.91],[new Date(“2019-02-15”),118.875,118.88],[new Date(“2019-02-16”),118.875,118.88],[new Date(“2019-02-17”),118.875,118.87],[new Date(“2019-02-18”),118.910,118.91],[new Date(“2019-02-19”),118.640,118.64],[new Date(“2019-02-20”),118.575,118.58],[new Date(“2019-02-21”),118.595,118.59],[new Date(“2019-02-22”),118.765,118.77],[new Date(“2019-02-23”),118.760,118.76],[new Date(“2019-02-24”),118.669,118.67],[new Date(“2019-02-25”),118.490,118.49],[new Date(“2019-02-26”),118.550,118.55],[new Date(“2019-02-27”),118.420,118.42],[new Date(“2019-02-28″),118.350,118.35],]);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_2’));
chart.draw(data, options);
}

January, 2019

01      118.1450
02      118.6150
↘0.470, 0.40%
03      118.5773
↗0.038, 0.03%
04      118.4104
↗0.167, 0.14%
05      118.4104
→0.000, 0.00%
06      118.4103
↗0.000, 0.00%
07      118.0604
↗0.350, 0.30%
08      118.1599
↘0.100, 0.08%
09      117.7650
↗0.395, 0.33%
10      117.9250
↘0.160, 0.14%
11      117.9704
↘0.045, 0.04%
12      117.9704
→0.000, 0.00%
13      117.9697
↗0.001, 0.00%
14      118.2150
↘0.245, 0.21%
15      118.4700
↘0.255, 0.22%
16      118.5298
↘0.060, 0.05%
17      118.5598
↘0.030, 0.03%
18      118.4304
↗0.129, 0.11%
19      118.4304
→0.000, 0.00%
20      118.4300
↗0.000, 0.00%
21      118.5600
↘0.130, 0.11%
22      118.6901
↘0.130, 0.11%
23      118.5903
↗0.100, 0.08%
24      118.7061
↘0.116, 0.10%
25      118.6104
↗0.096, 0.08%
26      118.7304
↘0.120, 0.10%
27      118.7304
↗0.000, 0.00%
28      118.3697
↗0.361, 0.30%
29      118.3050
↗0.065, 0.05%
30      118.3502
↘0.045, 0.04%
31      118.2798
↗0.070, 0.06%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-01-01”),118.145,118.14],[new Date(“2019-01-02”),118.615,118.62],[new Date(“2019-01-03”),118.577,118.58],[new Date(“2019-01-04”),118.410,118.41],[new Date(“2019-01-05”),118.410,118.41],[new Date(“2019-01-06”),118.410,118.41],[new Date(“2019-01-07”),118.060,118.06],[new Date(“2019-01-08”),118.160,118.16],[new Date(“2019-01-09”),117.765,117.77],[new Date(“2019-01-10”),117.925,117.92],[new Date(“2019-01-11”),117.970,117.97],[new Date(“2019-01-12”),117.970,117.97],[new Date(“2019-01-13”),117.970,117.97],[new Date(“2019-01-14”),118.215,118.22],[new Date(“2019-01-15”),118.470,118.47],[new Date(“2019-01-16”),118.530,118.53],[new Date(“2019-01-17”),118.560,118.56],[new Date(“2019-01-18”),118.430,118.43],[new Date(“2019-01-19”),118.430,118.43],[new Date(“2019-01-20”),118.430,118.43],[new Date(“2019-01-21”),118.560,118.56],[new Date(“2019-01-22”),118.690,118.69],[new Date(“2019-01-23”),118.590,118.59],[new Date(“2019-01-24”),118.706,118.71],[new Date(“2019-01-25”),118.610,118.61],[new Date(“2019-01-26”),118.730,118.73],[new Date(“2019-01-27”),118.730,118.73],[new Date(“2019-01-28”),118.370,118.37],[new Date(“2019-01-29”),118.305,118.31],[new Date(“2019-01-30”),118.350,118.35],[new Date(“2019-01-31″),118.280,118.28],]);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_1’));
chart.draw(data, options);
}