Algerian Dinar DZD 2016 Conversion Rates

  • Opening Value is 107.208581 DZD per Dollar
  • Closing Value is 110.166040 DZD per Dollar
  • Change in Value during 2016 is 2.9575 which is 2.76%
  • Best Performance is on 2016-02-11 with 105.458140 DZD per Dollar
  • Lowest Performance is on 2016-11-25,2016-11-26 with 111.099998 DZD per Dollar
  • Average Value is 109.2423 DZD per Dollar
  • Swing Between the higest and the lowest is 5.6419 per Dollar, that is 5.26% compared to the opening value.

USD to DZD Conversion Rates – 12 months

Date 1 USD =
2016-12-31 110.1660 DZD
2016-11-30 110.2500 DZD
2016-10-31 109.6500 DZD
2016-09-30 109.2550 DZD
2016-08-31 109.1700 DZD
2016-07-31 109.7000 DZD
2016-06-30 110.3851 DZD
2016-05-31 110.4538 DZD
2016-04-30 109.1082 DZD
2016-03-31 108.5484 DZD
2016-02-29 108.6350 DZD
2016-01-31 107.7300 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(“2016-12-31”),110.166,110.17],[new Date(“2016-11-30”),110.250,110.25],[new Date(“2016-10-31”),109.650,109.65],[new Date(“2016-09-30”),109.255,109.25],[new Date(“2016-08-31”),109.170,109.17],[new Date(“2016-07-31”),109.700,109.70],[new Date(“2016-06-30”),110.385,110.39],[new Date(“2016-05-31”),110.454,110.45],[new Date(“2016-04-30”),109.108,109.11],[new Date(“2016-03-31”),108.548,108.55],[new Date(“2016-02-29”),108.635,108.64],[new Date(“2016-01-31”),107.730,107.73],]);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      110.4298
02      110.4700
↘0.040, 0.04%
03      110.4700
→0.000, 0.00%
04      110.5760
↘0.106, 0.10%
05      109.9960
↗0.580, 0.52%
06      110.0480
↘0.052, 0.05%
07      109.8720
↗0.176, 0.16%
08      110.1570
↘0.285, 0.26%
09      110.7060
↘0.549, 0.50%
10      110.7060
→0.000, 0.00%
11      110.3810
↗0.325, 0.29%
12      110.6270
↘0.246, 0.22%
13      110.2740
↗0.353, 0.32%
14      110.1830
↗0.091, 0.08%
15      110.9260
↘0.743, 0.67%
16      111.0800
↘0.154, 0.14%
17      111.0800
→0.000, 0.00%
18      110.8530
↗0.227, 0.20%
19      110.9710
↘0.118, 0.11%
20      111.0300
↘0.059, 0.05%
21      110.8690
↗0.161, 0.15%
22      110.9998
↘0.131, 0.12%
23      110.8880
↗0.112, 0.10%
24      110.5890
↗0.299, 0.27%
25      110.5890
→0.000, 0.00%
26      110.6330
↘0.044, 0.04%
27      110.7600
↘0.127, 0.11%
28      110.7180
↗0.042, 0.04%
29      110.5020
↗0.216, 0.20%
30      110.1660
↗0.336, 0.30%
31      110.1660
→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”),110.430,110.43],[new Date(“2016-12-02”),110.470,110.47],[new Date(“2016-12-03”),110.470,110.47],[new Date(“2016-12-04”),110.576,110.58],[new Date(“2016-12-05”),109.996,110.00],[new Date(“2016-12-06”),110.048,110.05],[new Date(“2016-12-07”),109.872,109.87],[new Date(“2016-12-08”),110.157,110.16],[new Date(“2016-12-09”),110.706,110.71],[new Date(“2016-12-10”),110.706,110.71],[new Date(“2016-12-11”),110.381,110.38],[new Date(“2016-12-12”),110.627,110.63],[new Date(“2016-12-13”),110.274,110.27],[new Date(“2016-12-14”),110.183,110.18],[new Date(“2016-12-15”),110.926,110.93],[new Date(“2016-12-16”),111.080,111.08],[new Date(“2016-12-17”),111.080,111.08],[new Date(“2016-12-18”),110.853,110.85],[new Date(“2016-12-19”),110.971,110.97],[new Date(“2016-12-20”),111.030,111.03],[new Date(“2016-12-21”),110.869,110.87],[new Date(“2016-12-22”),111.000,111.00],[new Date(“2016-12-23”),110.888,110.89],[new Date(“2016-12-24”),110.589,110.59],[new Date(“2016-12-25”),110.589,110.59],[new Date(“2016-12-26”),110.633,110.63],[new Date(“2016-12-27”),110.760,110.76],[new Date(“2016-12-28”),110.718,110.72],[new Date(“2016-12-29”),110.502,110.50],[new Date(“2016-12-30”),110.166,110.17],[new Date(“2016-12-31″),110.166,110.17],]);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      109.5500
02      109.3000
↗0.250, 0.23%
03      109.4000
↘0.100, 0.09%
04      109.3500
↗0.050, 0.05%
05      109.3500
→0.000, 0.00%
06      109.3500
→0.000, 0.00%
07      110.0100
↘0.660, 0.60%
08      109.6800
↗0.330, 0.30%
09      110.0500
↘0.370, 0.34%
10      110.2400
↘0.190, 0.17%
11      110.2504
↘0.010, 0.01%
12      110.2504
→0.000, 0.00%
13      110.2504
↘0.000, 0.00%
14      110.7500
↘0.500, 0.45%
15      110.7000
↗0.050, 0.05%
16      110.8300
↘0.130, 0.12%
17      110.7000
↗0.130, 0.12%
18      110.6500
↗0.050, 0.05%
19      110.6500
→0.000, 0.00%
20      110.6500
→0.000, 0.00%
21      110.8230
↘0.173, 0.16%
22      110.6800
↗0.143, 0.13%
23      110.6700
↗0.010, 0.01%
24      110.6700
→0.000, 0.00%
25      111.1000
↘0.430, 0.39%
26      111.1000
→0.000, 0.00%
27      110.5400
↗0.560, 0.50%
28      110.4800
↗0.060, 0.05%
29      110.4500
↗0.030, 0.03%
30      110.2500
↗0.200, 0.18%
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”),109.550,109.55],[new Date(“2016-11-02”),109.300,109.30],[new Date(“2016-11-03”),109.400,109.40],[new Date(“2016-11-04”),109.350,109.35],[new Date(“2016-11-05”),109.350,109.35],[new Date(“2016-11-06”),109.350,109.35],[new Date(“2016-11-07”),110.010,110.01],[new Date(“2016-11-08”),109.680,109.68],[new Date(“2016-11-09”),110.050,110.05],[new Date(“2016-11-10”),110.240,110.24],[new Date(“2016-11-11”),110.250,110.25],[new Date(“2016-11-12”),110.250,110.25],[new Date(“2016-11-13”),110.250,110.25],[new Date(“2016-11-14”),110.750,110.75],[new Date(“2016-11-15”),110.700,110.70],[new Date(“2016-11-16”),110.830,110.83],[new Date(“2016-11-17”),110.700,110.70],[new Date(“2016-11-18”),110.650,110.65],[new Date(“2016-11-19”),110.650,110.65],[new Date(“2016-11-20”),110.650,110.65],[new Date(“2016-11-21”),110.823,110.82],[new Date(“2016-11-22”),110.680,110.68],[new Date(“2016-11-23”),110.670,110.67],[new Date(“2016-11-24”),110.670,110.67],[new Date(“2016-11-25”),111.100,111.10],[new Date(“2016-11-26”),111.100,111.10],[new Date(“2016-11-27”),110.540,110.54],[new Date(“2016-11-28”),110.480,110.48],[new Date(“2016-11-29”),110.450,110.45],[new Date(“2016-11-30″),110.250,110.25],]);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      109.2550
02      109.2550
→0.000, 0.00%
03      109.0800
↗0.175, 0.16%
04      109.3800
↘0.300, 0.28%
05      109.1630
↗0.217, 0.20%
06      109.3550
↘0.192, 0.18%
07      109.5039
↘0.149, 0.14%
08      109.5039
→0.000, 0.00%
09      109.4968
↗0.007, 0.01%
10      109.7400
↘0.243, 0.22%
11      110.0200
↘0.280, 0.26%
12      110.3300
↘0.310, 0.28%
13      110.2000
↗0.130, 0.12%
14      110.1100
↗0.090, 0.08%
15      110.1100
→0.000, 0.00%
16      110.1100
→0.000, 0.00%
17      109.9800
↗0.130, 0.12%
18      110.0400
↘0.060, 0.05%
19      109.9800
↗0.060, 0.05%
20      110.0002
↘0.020, 0.02%
21      110.0500
↘0.050, 0.05%
22      110.0500
→0.000, 0.00%
23      110.0500
→0.000, 0.00%
24      109.8000
↗0.250, 0.23%
25      109.7600
↗0.040, 0.04%
26      109.6500
↗0.110, 0.10%
27      109.7700
↘0.120, 0.11%
28      109.6500
↗0.120, 0.11%
29      109.6500
→0.000, 0.00%
30      109.6500
→0.000, 0.00%
31      109.6500
→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(“2016-10-01”),109.255,109.25],[new Date(“2016-10-02”),109.255,109.25],[new Date(“2016-10-03”),109.080,109.08],[new Date(“2016-10-04”),109.380,109.38],[new Date(“2016-10-05”),109.163,109.16],[new Date(“2016-10-06”),109.355,109.36],[new Date(“2016-10-07”),109.504,109.50],[new Date(“2016-10-08”),109.504,109.50],[new Date(“2016-10-09”),109.497,109.50],[new Date(“2016-10-10”),109.740,109.74],[new Date(“2016-10-11”),110.020,110.02],[new Date(“2016-10-12”),110.330,110.33],[new Date(“2016-10-13”),110.200,110.20],[new Date(“2016-10-14”),110.110,110.11],[new Date(“2016-10-15”),110.110,110.11],[new Date(“2016-10-16”),110.110,110.11],[new Date(“2016-10-17”),109.980,109.98],[new Date(“2016-10-18”),110.040,110.04],[new Date(“2016-10-19”),109.980,109.98],[new Date(“2016-10-20”),110.000,110.00],[new Date(“2016-10-21”),110.050,110.05],[new Date(“2016-10-22”),110.050,110.05],[new Date(“2016-10-23”),110.050,110.05],[new Date(“2016-10-24”),109.800,109.80],[new Date(“2016-10-25”),109.760,109.76],[new Date(“2016-10-26”),109.650,109.65],[new Date(“2016-10-27”),109.770,109.77],[new Date(“2016-10-28”),109.650,109.65],[new Date(“2016-10-29”),109.650,109.65],[new Date(“2016-10-30”),109.650,109.65],[new Date(“2016-10-31″),109.650,109.65],]);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_10’));
chart.draw(data, options);
}

September, 2016

01      109.1780
02      109.0004
↗0.178, 0.16%
03      109.0004
→0.000, 0.00%
04      109.3950
↘0.395, 0.36%
05      109.3950
→0.000, 0.00%
06      108.9997
↗0.395, 0.36%
07      108.6890
↗0.311, 0.29%
08      108.4000
↗0.289, 0.27%
09      108.3800
↗0.020, 0.02%
10      108.3800
→0.000, 0.00%
11      108.3800
→0.000, 0.00%
12      109.1799
↘0.800, 0.74%
13      108.8000
↗0.380, 0.35%
14      108.7499
↗0.050, 0.05%
15      108.5960
↗0.154, 0.14%
16      108.7700
↘0.174, 0.16%
17      108.7700
→0.000, 0.00%
18      108.7700
→0.000, 0.00%
19      109.0100
↘0.240, 0.22%
20      108.9900
↗0.020, 0.02%
21      109.1798
↘0.190, 0.17%
22      108.6798
↗0.500, 0.46%
23      108.7600
↘0.080, 0.07%
24      108.7600
→0.000, 0.00%
25      108.7600
→0.000, 0.00%
26      108.6500
↗0.110, 0.10%
27      109.2200
↘0.570, 0.52%
28      109.1300
↗0.090, 0.08%
29      109.2600
↘0.130, 0.12%
30      109.2550
↗0.005, 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(“2016-09-01”),109.178,109.18],[new Date(“2016-09-02”),109.000,109.00],[new Date(“2016-09-03”),109.000,109.00],[new Date(“2016-09-04”),109.395,109.39],[new Date(“2016-09-05”),109.395,109.39],[new Date(“2016-09-06”),109.000,109.00],[new Date(“2016-09-07”),108.689,108.69],[new Date(“2016-09-08”),108.400,108.40],[new Date(“2016-09-09”),108.380,108.38],[new Date(“2016-09-10”),108.380,108.38],[new Date(“2016-09-11”),108.380,108.38],[new Date(“2016-09-12”),109.180,109.18],[new Date(“2016-09-13”),108.800,108.80],[new Date(“2016-09-14”),108.750,108.75],[new Date(“2016-09-15”),108.596,108.60],[new Date(“2016-09-16”),108.770,108.77],[new Date(“2016-09-17”),108.770,108.77],[new Date(“2016-09-18”),108.770,108.77],[new Date(“2016-09-19”),109.010,109.01],[new Date(“2016-09-20”),108.990,108.99],[new Date(“2016-09-21”),109.180,109.18],[new Date(“2016-09-22”),108.680,108.68],[new Date(“2016-09-23”),108.760,108.76],[new Date(“2016-09-24”),108.760,108.76],[new Date(“2016-09-25”),108.760,108.76],[new Date(“2016-09-26”),108.650,108.65],[new Date(“2016-09-27”),109.220,109.22],[new Date(“2016-09-28”),109.130,109.13],[new Date(“2016-09-29”),109.260,109.26],[new Date(“2016-09-30″),109.255,109.25],]);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      109.4700
02      109.3950
↗0.075, 0.07%
03      109.2900
↗0.105, 0.10%
04      109.6000
↘0.310, 0.28%
05      109.6000
→0.000, 0.00%
06      109.6000
→0.000, 0.00%
07      109.6000
→0.000, 0.00%
08      109.7800
↘0.180, 0.16%
09      109.8500
↘0.070, 0.06%
10      109.2400
↗0.610, 0.56%
11      109.3500
↘0.110, 0.10%
12      109.1804
↗0.170, 0.16%
13      109.1804
→0.000, 0.00%
14      109.1799
↗0.000, 0.00%
15      109.2940
↘0.114, 0.10%
16      108.3400
↗0.954, 0.87%
17      108.4700
↘0.130, 0.12%
18      108.3900
↗0.080, 0.07%
19      108.7100
↘0.320, 0.30%
20      108.3300
↗0.380, 0.35%
21      108.3300
→0.000, 0.00%
22      108.3800
↘0.050, 0.05%
23      108.2300
↗0.150, 0.14%
24      108.5450
↘0.315, 0.29%
25      108.5860
↘0.041, 0.04%
26      108.3900
↗0.196, 0.18%
27      108.3900
→0.000, 0.00%
28      108.3900
→0.000, 0.00%
29      109.0004
↘0.610, 0.56%
30      109.0800
↘0.080, 0.07%
31      109.1700
↘0.090, 0.08%
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”),109.470,109.47],[new Date(“2016-08-02”),109.395,109.39],[new Date(“2016-08-03”),109.290,109.29],[new Date(“2016-08-04”),109.600,109.60],[new Date(“2016-08-05”),109.600,109.60],[new Date(“2016-08-06”),109.600,109.60],[new Date(“2016-08-07”),109.600,109.60],[new Date(“2016-08-08”),109.780,109.78],[new Date(“2016-08-09”),109.850,109.85],[new Date(“2016-08-10”),109.240,109.24],[new Date(“2016-08-11”),109.350,109.35],[new Date(“2016-08-12”),109.180,109.18],[new Date(“2016-08-13”),109.180,109.18],[new Date(“2016-08-14”),109.180,109.18],[new Date(“2016-08-15”),109.294,109.29],[new Date(“2016-08-16”),108.340,108.34],[new Date(“2016-08-17”),108.470,108.47],[new Date(“2016-08-18”),108.390,108.39],[new Date(“2016-08-19”),108.710,108.71],[new Date(“2016-08-20”),108.330,108.33],[new Date(“2016-08-21”),108.330,108.33],[new Date(“2016-08-22”),108.380,108.38],[new Date(“2016-08-23”),108.230,108.23],[new Date(“2016-08-24”),108.545,108.54],[new Date(“2016-08-25”),108.586,108.59],[new Date(“2016-08-26”),108.390,108.39],[new Date(“2016-08-27”),108.390,108.39],[new Date(“2016-08-28”),108.390,108.39],[new Date(“2016-08-29”),109.000,109.00],[new Date(“2016-08-30”),109.080,109.08],[new Date(“2016-08-31″),109.170,109.17],]);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      110.2033
02      110.2025
↗0.001, 0.00%
03      110.1926
↗0.010, 0.01%
04      110.1420
↗0.051, 0.05%
05      110.1442
↘0.002, 0.00%
06      110.3851
↘0.241, 0.22%
07      110.3716
↗0.013, 0.01%
08      110.4478
↘0.076, 0.07%
09      110.4278
↗0.020, 0.02%
10      110.4515
↘0.024, 0.02%
11      110.6812
↘0.230, 0.21%
12      110.5088
↗0.172, 0.16%
13      110.4087
↗0.100, 0.09%
14      110.4057
↗0.003, 0.00%
15      109.8800
↗0.526, 0.48%
16      109.8800
→0.000, 0.00%
17      109.8800
→0.000, 0.00%
18      110.3000
↘0.420, 0.38%
19      110.3400
↘0.040, 0.04%
20      110.4030
↘0.063, 0.06%
21      110.3390
↗0.064, 0.06%
22      110.2950
↗0.044, 0.04%
23      110.2950
→0.000, 0.00%
24      110.2950
→0.000, 0.00%
25      110.4660
↘0.171, 0.16%
26      110.5440
↘0.078, 0.07%
27      110.7100
↘0.166, 0.15%
28      110.0830
↗0.627, 0.57%
29      109.7000
↗0.383, 0.35%
30      109.7000
→0.000, 0.00%
31      109.7000
→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(“2016-07-01”),110.203,110.20],[new Date(“2016-07-02”),110.202,110.20],[new Date(“2016-07-03”),110.193,110.19],[new Date(“2016-07-04”),110.142,110.14],[new Date(“2016-07-05”),110.144,110.14],[new Date(“2016-07-06”),110.385,110.39],[new Date(“2016-07-07”),110.372,110.37],[new Date(“2016-07-08”),110.448,110.45],[new Date(“2016-07-09”),110.428,110.43],[new Date(“2016-07-10”),110.452,110.45],[new Date(“2016-07-11”),110.681,110.68],[new Date(“2016-07-12”),110.509,110.51],[new Date(“2016-07-13”),110.409,110.41],[new Date(“2016-07-14”),110.406,110.41],[new Date(“2016-07-15”),109.880,109.88],[new Date(“2016-07-16”),109.880,109.88],[new Date(“2016-07-17”),109.880,109.88],[new Date(“2016-07-18”),110.300,110.30],[new Date(“2016-07-19”),110.340,110.34],[new Date(“2016-07-20”),110.403,110.40],[new Date(“2016-07-21”),110.339,110.34],[new Date(“2016-07-22”),110.295,110.29],[new Date(“2016-07-23”),110.295,110.29],[new Date(“2016-07-24”),110.295,110.29],[new Date(“2016-07-25”),110.466,110.47],[new Date(“2016-07-26”),110.544,110.54],[new Date(“2016-07-27”),110.710,110.71],[new Date(“2016-07-28”),110.083,110.08],[new Date(“2016-07-29”),109.700,109.70],[new Date(“2016-07-30”),109.700,109.70],[new Date(“2016-07-31″),109.700,109.70],]);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      110.3770
02      110.4181
↘0.041, 0.04%
03      110.4241
↘0.006, 0.01%
04      110.3931
↗0.031, 0.03%
05      110.4572
↘0.064, 0.06%
06      109.7606
↗0.697, 0.63%
07      109.6938
↗0.067, 0.06%
08      109.4191
↗0.275, 0.25%
09      109.7018
↘0.283, 0.26%
10      109.8650
↘0.163, 0.15%
11      109.9390
↘0.074, 0.07%
12      109.9685
↘0.029, 0.03%
13      110.0389
↘0.070, 0.06%
14      110.1974
↘0.158, 0.14%
15      110.0559
↗0.141, 0.13%
16      110.3341
↘0.278, 0.25%
17      110.0289
↗0.305, 0.28%
18      110.0255
↗0.003, 0.00%
19      109.8804
↗0.145, 0.13%
20      109.7583
↗0.122, 0.11%
21      110.0562
↘0.298, 0.27%
22      109.6537
↗0.403, 0.37%
23      109.7277
↘0.074, 0.07%
24      110.2706
↘0.543, 0.49%
25      110.2961
↘0.025, 0.02%
26      110.2406
↗0.055, 0.05%
27      110.6249
↘0.384, 0.35%
28      110.6239
↗0.001, 0.00%
29      110.5346
↗0.089, 0.08%
30      110.3851
↗0.149, 0.14%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),110.377,110.38],[new Date(“2016-06-02”),110.418,110.42],[new Date(“2016-06-03”),110.424,110.42],[new Date(“2016-06-04”),110.393,110.39],[new Date(“2016-06-05”),110.457,110.46],[new Date(“2016-06-06”),109.761,109.76],[new Date(“2016-06-07”),109.694,109.69],[new Date(“2016-06-08”),109.419,109.42],[new Date(“2016-06-09”),109.702,109.70],[new Date(“2016-06-10”),109.865,109.86],[new Date(“2016-06-11”),109.939,109.94],[new Date(“2016-06-12”),109.968,109.97],[new Date(“2016-06-13”),110.039,110.04],[new Date(“2016-06-14”),110.197,110.20],[new Date(“2016-06-15”),110.056,110.06],[new Date(“2016-06-16”),110.334,110.33],[new Date(“2016-06-17”),110.029,110.03],[new Date(“2016-06-18”),110.026,110.03],[new Date(“2016-06-19”),109.880,109.88],[new Date(“2016-06-20”),109.758,109.76],[new Date(“2016-06-21”),110.056,110.06],[new Date(“2016-06-22”),109.654,109.65],[new Date(“2016-06-23”),109.728,109.73],[new Date(“2016-06-24”),110.271,110.27],[new Date(“2016-06-25”),110.296,110.30],[new Date(“2016-06-26”),110.241,110.24],[new Date(“2016-06-27”),110.625,110.62],[new Date(“2016-06-28”),110.624,110.62],[new Date(“2016-06-29”),110.535,110.53],[new Date(“2016-06-30″),110.385,110.39],]);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      109.0855
02      108.9960
↗0.090, 0.08%
03      108.7906
↗0.205, 0.19%
04      108.8984
↘0.108, 0.10%
05      109.1675
↘0.269, 0.25%
06      109.2446
↘0.077, 0.07%
07      109.2642
↘0.020, 0.02%
08      109.3024
↘0.038, 0.03%
09      109.3708
↘0.068, 0.06%
10      109.4140
↘0.043, 0.04%
11      109.2774
↗0.137, 0.12%
12      109.3480
↘0.071, 0.06%
13      109.5913
↘0.243, 0.22%
14      109.6259
↘0.035, 0.03%
15      109.5481
↗0.078, 0.07%
16      109.5890
↘0.041, 0.04%
17      109.6231
↘0.034, 0.03%
18      109.7648
↘0.142, 0.13%
19      109.9915
↘0.227, 0.21%
20      110.2485
↘0.257, 0.23%
21      110.2882
↘0.040, 0.04%
22      110.3800
↘0.092, 0.08%
23      110.2431
↗0.137, 0.12%
24      110.3600
↘0.117, 0.11%
25      110.2938
↗0.066, 0.06%
26      110.2678
↗0.026, 0.02%
27      110.4274
↘0.160, 0.14%
28      110.4259
↗0.001, 0.00%
29      110.4470
↘0.021, 0.02%
30      110.4615
↘0.014, 0.01%
31      110.4538
↗0.008, 0.01%
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”),109.086,109.09],[new Date(“2016-05-02”),108.996,109.00],[new Date(“2016-05-03”),108.791,108.79],[new Date(“2016-05-04”),108.898,108.90],[new Date(“2016-05-05”),109.168,109.17],[new Date(“2016-05-06”),109.245,109.24],[new Date(“2016-05-07”),109.264,109.26],[new Date(“2016-05-08”),109.302,109.30],[new Date(“2016-05-09”),109.371,109.37],[new Date(“2016-05-10”),109.414,109.41],[new Date(“2016-05-11”),109.277,109.28],[new Date(“2016-05-12”),109.348,109.35],[new Date(“2016-05-13”),109.591,109.59],[new Date(“2016-05-14”),109.626,109.63],[new Date(“2016-05-15”),109.548,109.55],[new Date(“2016-05-16”),109.589,109.59],[new Date(“2016-05-17”),109.623,109.62],[new Date(“2016-05-18”),109.765,109.76],[new Date(“2016-05-19”),109.992,109.99],[new Date(“2016-05-20”),110.249,110.25],[new Date(“2016-05-21”),110.288,110.29],[new Date(“2016-05-22”),110.380,110.38],[new Date(“2016-05-23”),110.243,110.24],[new Date(“2016-05-24”),110.360,110.36],[new Date(“2016-05-25”),110.294,110.29],[new Date(“2016-05-26”),110.268,110.27],[new Date(“2016-05-27”),110.427,110.43],[new Date(“2016-05-28”),110.426,110.43],[new Date(“2016-05-29”),110.447,110.45],[new Date(“2016-05-30”),110.461,110.46],[new Date(“2016-05-31″),110.454,110.45],]);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      108.2797
02      108.2165
↗0.063, 0.06%
03      108.1641
↗0.052, 0.05%
04      108.0629
↗0.101, 0.09%
05      108.1993
↘0.136, 0.13%
06      108.0519
↗0.147, 0.14%
07      108.1119
↘0.060, 0.06%
08      108.0785
↗0.033, 0.03%
09      108.0918
↘0.013, 0.01%
10      108.0865
↗0.005, 0.00%
11      107.9768
↗0.110, 0.10%
12      108.3044
↘0.328, 0.30%
13      108.6588
↘0.354, 0.33%
14      108.8004
↘0.142, 0.13%
15      108.8863
↘0.086, 0.08%
16      108.8993
↘0.013, 0.01%
17      108.9061
↘0.007, 0.01%
18      108.8894
↗0.017, 0.02%
19      108.7496
↗0.140, 0.13%
20      108.8824
↘0.133, 0.12%
21      109.1320
↘0.250, 0.23%
22      109.3743
↘0.242, 0.22%
23      109.4167
↘0.042, 0.04%
24      109.4233
↘0.007, 0.01%
25      109.4454
↘0.022, 0.02%
26      109.3496
↗0.096, 0.09%
27      109.2097
↗0.140, 0.13%
28      109.2194
↘0.010, 0.01%
29      109.1175
↗0.102, 0.09%
30      109.1082
↗0.009, 0.01%
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”),108.280,108.28],[new Date(“2016-04-02”),108.216,108.22],[new Date(“2016-04-03”),108.164,108.16],[new Date(“2016-04-04”),108.063,108.06],[new Date(“2016-04-05”),108.199,108.20],[new Date(“2016-04-06”),108.052,108.05],[new Date(“2016-04-07”),108.112,108.11],[new Date(“2016-04-08”),108.078,108.08],[new Date(“2016-04-09”),108.092,108.09],[new Date(“2016-04-10”),108.087,108.09],[new Date(“2016-04-11”),107.977,107.98],[new Date(“2016-04-12”),108.304,108.30],[new Date(“2016-04-13”),108.659,108.66],[new Date(“2016-04-14”),108.800,108.80],[new Date(“2016-04-15”),108.886,108.89],[new Date(“2016-04-16”),108.899,108.90],[new Date(“2016-04-17”),108.906,108.91],[new Date(“2016-04-18”),108.889,108.89],[new Date(“2016-04-19”),108.750,108.75],[new Date(“2016-04-20”),108.882,108.88],[new Date(“2016-04-21”),109.132,109.13],[new Date(“2016-04-22”),109.374,109.37],[new Date(“2016-04-23”),109.417,109.42],[new Date(“2016-04-24”),109.423,109.42],[new Date(“2016-04-25”),109.445,109.45],[new Date(“2016-04-26”),109.350,109.35],[new Date(“2016-04-27”),109.210,109.21],[new Date(“2016-04-28”),109.219,109.22],[new Date(“2016-04-29”),109.118,109.12],[new Date(“2016-04-30″),109.108,109.11],]);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_4’));
chart.draw(data, options);
}

March, 2016

01      108.7000
02      108.9001
↘0.200, 0.18%
03      108.5182
↗0.382, 0.35%
04      108.8545
↘0.336, 0.31%
05      108.8385
↗0.016, 0.01%
06      108.7671
↗0.071, 0.07%
07      108.7936
↘0.026, 0.02%
08      108.6591
↗0.134, 0.12%
09      108.8016
↘0.143, 0.13%
10      109.4102
↘0.609, 0.56%
11      109.9330
↘0.523, 0.48%
12      110.0727
↘0.140, 0.13%
13      109.8166
↗0.256, 0.23%
14      110.2034
↘0.387, 0.35%
15      110.0615
↗0.142, 0.13%
16      110.2034
↘0.142, 0.13%
17      109.7956
↗0.408, 0.37%
18      110.0963
↘0.301, 0.27%
19      110.0684
↗0.028, 0.03%
20      110.0865
↘0.018, 0.02%
21      109.9430
↗0.143, 0.13%
22      109.9597
↘0.017, 0.02%
23      110.0314
↘0.072, 0.07%
24      110.0112
↗0.020, 0.02%
25      109.9994
↗0.012, 0.01%
26      110.0100
↘0.011, 0.01%
27      110.0161
↘0.006, 0.01%
28      109.6605
↗0.356, 0.32%
29      109.5883
↗0.072, 0.07%
30      108.8201
↗0.768, 0.70%
31      108.5484
↗0.272, 0.25%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-03-01”),108.700,108.70],[new Date(“2016-03-02”),108.900,108.90],[new Date(“2016-03-03”),108.518,108.52],[new Date(“2016-03-04”),108.854,108.85],[new Date(“2016-03-05”),108.838,108.84],[new Date(“2016-03-06”),108.767,108.77],[new Date(“2016-03-07”),108.794,108.79],[new Date(“2016-03-08”),108.659,108.66],[new Date(“2016-03-09”),108.802,108.80],[new Date(“2016-03-10”),109.410,109.41],[new Date(“2016-03-11”),109.933,109.93],[new Date(“2016-03-12”),110.073,110.07],[new Date(“2016-03-13”),109.817,109.82],[new Date(“2016-03-14”),110.203,110.20],[new Date(“2016-03-15”),110.062,110.06],[new Date(“2016-03-16”),110.203,110.20],[new Date(“2016-03-17”),109.796,109.80],[new Date(“2016-03-18”),110.096,110.10],[new Date(“2016-03-19”),110.068,110.07],[new Date(“2016-03-20”),110.086,110.09],[new Date(“2016-03-21”),109.943,109.94],[new Date(“2016-03-22”),109.960,109.96],[new Date(“2016-03-23”),110.031,110.03],[new Date(“2016-03-24”),110.011,110.01],[new Date(“2016-03-25”),109.999,110.00],[new Date(“2016-03-26”),110.010,110.01],[new Date(“2016-03-27”),110.016,110.02],[new Date(“2016-03-28”),109.661,109.66],[new Date(“2016-03-29”),109.588,109.59],[new Date(“2016-03-30”),108.820,108.82],[new Date(“2016-03-31″),108.548,108.55],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2016

01      107.3025
02      107.1472
↗0.155, 0.14%
03      106.7804
↗0.367, 0.34%
04      106.2073
↗0.573, 0.54%
05      106.4327
↘0.225, 0.21%
06      106.4065
↗0.026, 0.02%
07      106.3901
↗0.016, 0.02%
08      106.3623
↗0.028, 0.03%
09      105.7649
↗0.597, 0.56%
10      105.8760
↘0.111, 0.11%
11      105.4581
↗0.418, 0.39%
12      105.6657
↘0.208, 0.20%
13      105.6698
↘0.004, 0.00%
14      105.7590
↘0.089, 0.08%
15      106.1578
↘0.399, 0.38%
16      106.0358
↗0.122, 0.11%
17      106.1160
↘0.080, 0.08%
18      106.3132
↘0.197, 0.19%
19      106.2744
↗0.039, 0.04%
20      106.2885
↘0.014, 0.01%
21      106.2536
↗0.035, 0.03%
22      106.5315
↘0.278, 0.26%
23      106.6127
↘0.081, 0.08%
24      106.9820
↘0.369, 0.35%
25      107.2605
↘0.279, 0.26%
26      107.8969
↘0.636, 0.59%
27      107.9618
↘0.065, 0.06%
28      108.2974
↘0.336, 0.31%
29      108.6350
↘0.338, 0.31%
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(“2016-02-01”),107.302,107.30],[new Date(“2016-02-02”),107.147,107.15],[new Date(“2016-02-03”),106.780,106.78],[new Date(“2016-02-04”),106.207,106.21],[new Date(“2016-02-05”),106.433,106.43],[new Date(“2016-02-06”),106.407,106.41],[new Date(“2016-02-07”),106.390,106.39],[new Date(“2016-02-08”),106.362,106.36],[new Date(“2016-02-09”),105.765,105.76],[new Date(“2016-02-10”),105.876,105.88],[new Date(“2016-02-11”),105.458,105.46],[new Date(“2016-02-12”),105.666,105.67],[new Date(“2016-02-13”),105.670,105.67],[new Date(“2016-02-14”),105.759,105.76],[new Date(“2016-02-15”),106.158,106.16],[new Date(“2016-02-16”),106.036,106.04],[new Date(“2016-02-17”),106.116,106.12],[new Date(“2016-02-18”),106.313,106.31],[new Date(“2016-02-19”),106.274,106.27],[new Date(“2016-02-20”),106.288,106.29],[new Date(“2016-02-21”),106.254,106.25],[new Date(“2016-02-22”),106.531,106.53],[new Date(“2016-02-23”),106.613,106.61],[new Date(“2016-02-24”),106.982,106.98],[new Date(“2016-02-25”),107.261,107.26],[new Date(“2016-02-26”),107.897,107.90],[new Date(“2016-02-27”),107.962,107.96],[new Date(“2016-02-28”),108.297,108.30],[new Date(“2016-02-29″),108.635,108.64],]);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_2’));
chart.draw(data, options);
}

January, 2016

01      107.2086
02      107.1156
↗0.093, 0.09%
03      107.2060
↘0.090, 0.08%
04      107.5225
↘0.316, 0.30%
05      107.6819
↘0.159, 0.15%
06      107.7129
↘0.031, 0.03%
07      107.3259
↗0.387, 0.36%
08      107.2743
↗0.052, 0.05%
09      107.2376
↗0.037, 0.03%
10      106.9851
↗0.252, 0.24%
11      107.1847
↘0.200, 0.19%
12      107.3462
↘0.161, 0.15%
13      107.3636
↘0.017, 0.02%
14      107.3213
↗0.042, 0.04%
15      107.5437
↘0.222, 0.21%
16      107.5390
↗0.005, 0.00%
17      107.3658
↗0.173, 0.16%
18      107.3909
↘0.025, 0.02%
19      107.3545
↗0.036, 0.03%
20      107.3092
↗0.045, 0.04%
21      107.6022
↘0.293, 0.27%
22      107.5342
↗0.068, 0.06%
23      107.5759
↘0.042, 0.04%
24      107.5447
↗0.031, 0.03%
25      107.3830
↗0.162, 0.15%
26      107.3184
↗0.065, 0.06%
27      107.1815
↗0.137, 0.13%
28      107.2180
↘0.036, 0.03%
29      107.3761
↘0.158, 0.15%
30      107.3907
↘0.015, 0.01%
31      107.7300
↘0.339, 0.32%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-01-01”),107.209,107.21],[new Date(“2016-01-02”),107.116,107.12],[new Date(“2016-01-03”),107.206,107.21],[new Date(“2016-01-04”),107.522,107.52],[new Date(“2016-01-05”),107.682,107.68],[new Date(“2016-01-06”),107.713,107.71],[new Date(“2016-01-07”),107.326,107.33],[new Date(“2016-01-08”),107.274,107.27],[new Date(“2016-01-09”),107.238,107.24],[new Date(“2016-01-10”),106.985,106.99],[new Date(“2016-01-11”),107.185,107.18],[new Date(“2016-01-12”),107.346,107.35],[new Date(“2016-01-13”),107.364,107.36],[new Date(“2016-01-14”),107.321,107.32],[new Date(“2016-01-15”),107.544,107.54],[new Date(“2016-01-16”),107.539,107.54],[new Date(“2016-01-17”),107.366,107.37],[new Date(“2016-01-18”),107.391,107.39],[new Date(“2016-01-19”),107.355,107.35],[new Date(“2016-01-20”),107.309,107.31],[new Date(“2016-01-21”),107.602,107.60],[new Date(“2016-01-22”),107.534,107.53],[new Date(“2016-01-23”),107.576,107.58],[new Date(“2016-01-24”),107.545,107.54],[new Date(“2016-01-25”),107.383,107.38],[new Date(“2016-01-26”),107.318,107.32],[new Date(“2016-01-27”),107.182,107.18],[new Date(“2016-01-28”),107.218,107.22],[new Date(“2016-01-29”),107.376,107.38],[new Date(“2016-01-30”),107.391,107.39],[new Date(“2016-01-31″),107.730,107.73],]);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_1’));
chart.draw(data, options);
}