Algerian Dinar DZD 2017 Conversion Rates

  • Opening Value is 110.165981 DZD per Dollar
  • Closing Value is 114.652062 DZD per Dollar
  • Change in Value during 2017 is 4.4861 which is 4.07%
  • Best Performance is on 2017-06-29 with 107.667023 DZD per Dollar
  • Lowest Performance is on 2017-12-08,2017-12-09 with 115.334999 DZD per Dollar
  • Average Value is 110.6739 DZD per Dollar
  • Swing Between the higest and the lowest is 7.6680 per Dollar, that is 6.96% compared to the opening value.

USD to DZD Conversion Rates – 12 months

Date 1 USD =
2017-12-31 114.6521 DZD
2017-11-30 114.8510 DZD
2017-10-31 114.9580 DZD
2017-09-30 112.7330 DZD
2017-08-31 110.9410 DZD
2017-07-31 108.0970 DZD
2017-06-30 107.6680 DZD
2017-05-31 108.2090 DZD
2017-04-30 109.0480 DZD
2017-03-31 109.6870 DZD
2017-02-28 109.6350 DZD
2017-01-31 109.0390 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(“2017-12-31”),114.652,114.65],[new Date(“2017-11-30”),114.851,114.85],[new Date(“2017-10-31”),114.958,114.96],[new Date(“2017-09-30”),112.733,112.73],[new Date(“2017-08-31”),110.941,110.94],[new Date(“2017-07-31”),108.097,108.10],[new Date(“2017-06-30”),107.668,107.67],[new Date(“2017-05-31”),108.209,108.21],[new Date(“2017-04-30”),109.048,109.05],[new Date(“2017-03-31”),109.687,109.69],[new Date(“2017-02-28”),109.635,109.64],[new Date(“2017-01-31”),109.039,109.04],]);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, 2017

01      114.3730
02      114.3730
→0.000, 0.00%
03      114.4880
↘0.115, 0.10%
04      114.8210
↘0.333, 0.29%
05      114.5550
↗0.266, 0.23%
06      114.6590
↘0.104, 0.09%
07      115.1190
↘0.460, 0.40%
08      115.3350
↘0.216, 0.19%
09      115.3350
→0.000, 0.00%
10      114.9380
↗0.397, 0.34%
11      114.9040
↗0.034, 0.03%
12      115.1040
↘0.200, 0.17%
13      115.2340
↘0.130, 0.11%
14      115.1100
↗0.124, 0.11%
15      114.8720
↗0.238, 0.21%
16      114.8720
→0.000, 0.00%
17      114.8720
→0.000, 0.00%
18      115.2390
↘0.367, 0.32%
19      115.1300
↗0.109, 0.09%
20      115.0600
↗0.070, 0.06%
21      115.0730
↘0.013, 0.01%
22      115.1310
↘0.058, 0.05%
23      115.1310
→0.000, 0.00%
24      115.1310
→0.000, 0.00%
25      115.0180
↗0.113, 0.10%
26      114.7380
↗0.280, 0.24%
27      114.8890
↘0.151, 0.13%
28      114.8400
↗0.049, 0.04%
29      114.6520
↗0.188, 0.16%
30      114.6520
→0.000, 0.00%
31      114.6521
↘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(“2017-12-01”),114.373,114.37],[new Date(“2017-12-02”),114.373,114.37],[new Date(“2017-12-03”),114.488,114.49],[new Date(“2017-12-04”),114.821,114.82],[new Date(“2017-12-05”),114.555,114.55],[new Date(“2017-12-06”),114.659,114.66],[new Date(“2017-12-07”),115.119,115.12],[new Date(“2017-12-08”),115.335,115.33],[new Date(“2017-12-09”),115.335,115.33],[new Date(“2017-12-10”),114.938,114.94],[new Date(“2017-12-11”),114.904,114.90],[new Date(“2017-12-12”),115.104,115.10],[new Date(“2017-12-13”),115.234,115.23],[new Date(“2017-12-14”),115.110,115.11],[new Date(“2017-12-15”),114.872,114.87],[new Date(“2017-12-16”),114.872,114.87],[new Date(“2017-12-17”),114.872,114.87],[new Date(“2017-12-18”),115.239,115.24],[new Date(“2017-12-19”),115.130,115.13],[new Date(“2017-12-20”),115.060,115.06],[new Date(“2017-12-21”),115.073,115.07],[new Date(“2017-12-22”),115.131,115.13],[new Date(“2017-12-23”),115.131,115.13],[new Date(“2017-12-24”),115.131,115.13],[new Date(“2017-12-25”),115.018,115.02],[new Date(“2017-12-26”),114.738,114.74],[new Date(“2017-12-27”),114.889,114.89],[new Date(“2017-12-28”),114.840,114.84],[new Date(“2017-12-29”),114.652,114.65],[new Date(“2017-12-30”),114.652,114.65],[new Date(“2017-12-31″),114.652,114.65],]);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_12’));
chart.draw(data, options);
}

November, 2017

01      115.0330
02      114.9970
↗0.036, 0.03%
03      115.0930
↘0.096, 0.08%
04      115.0930
→0.000, 0.00%
05      114.9420
↗0.151, 0.13%
06      115.1960
↘0.254, 0.22%
07      115.2580
↘0.062, 0.05%
08      115.1690
↗0.089, 0.08%
09      114.8180
↗0.351, 0.30%
10      114.9970
↘0.179, 0.16%
11      114.9970
→0.000, 0.00%
12      114.9970
→0.000, 0.00%
13      114.7460
↗0.251, 0.22%
14      114.4530
↗0.293, 0.26%
15      114.2300
↗0.223, 0.19%
16      114.4640
↘0.234, 0.20%
17      114.4510
↗0.013, 0.01%
18      114.4510
→0.000, 0.00%
19      114.6810
↘0.230, 0.20%
20      114.7510
↘0.070, 0.06%
21      114.6570
↗0.094, 0.08%
22      114.7000
↘0.043, 0.04%
23      114.6750
↗0.025, 0.02%
24      114.1270
↗0.548, 0.48%
25      114.1270
→0.000, 0.00%
26      114.1270
→0.000, 0.00%
27      114.3640
↘0.237, 0.21%
28      114.7790
↘0.415, 0.36%
29      114.9060
↘0.127, 0.11%
30      114.8510
↗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(“2017-11-01”),115.033,115.03],[new Date(“2017-11-02”),114.997,115.00],[new Date(“2017-11-03”),115.093,115.09],[new Date(“2017-11-04”),115.093,115.09],[new Date(“2017-11-05”),114.942,114.94],[new Date(“2017-11-06”),115.196,115.20],[new Date(“2017-11-07”),115.258,115.26],[new Date(“2017-11-08”),115.169,115.17],[new Date(“2017-11-09”),114.818,114.82],[new Date(“2017-11-10”),114.997,115.00],[new Date(“2017-11-11”),114.997,115.00],[new Date(“2017-11-12”),114.997,115.00],[new Date(“2017-11-13”),114.746,114.75],[new Date(“2017-11-14”),114.453,114.45],[new Date(“2017-11-15”),114.230,114.23],[new Date(“2017-11-16”),114.464,114.46],[new Date(“2017-11-17”),114.451,114.45],[new Date(“2017-11-18”),114.451,114.45],[new Date(“2017-11-19”),114.681,114.68],[new Date(“2017-11-20”),114.751,114.75],[new Date(“2017-11-21”),114.657,114.66],[new Date(“2017-11-22”),114.700,114.70],[new Date(“2017-11-23”),114.675,114.68],[new Date(“2017-11-24”),114.127,114.13],[new Date(“2017-11-25”),114.127,114.13],[new Date(“2017-11-26”),114.127,114.13],[new Date(“2017-11-27”),114.364,114.36],[new Date(“2017-11-28”),114.779,114.78],[new Date(“2017-11-29”),114.906,114.91],[new Date(“2017-11-30″),114.851,114.85],]);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_11’));
chart.draw(data, options);
}

October, 2017

01      112.7330
02      113.1570
↘0.424, 0.38%
03      112.8650
↗0.292, 0.26%
04      113.1650
↘0.300, 0.27%
05      113.2980
↘0.133, 0.12%
06      113.5290
↘0.231, 0.20%
07      113.5290
→0.000, 0.00%
08      113.5290
→0.000, 0.00%
09      113.1570
↗0.372, 0.33%
10      113.3690
↘0.212, 0.19%
11      113.3000
↗0.069, 0.06%
12      113.1390
↗0.161, 0.14%
13      113.7050
↘0.566, 0.50%
14      113.7050
→0.000, 0.00%
15      113.7200
↘0.015, 0.01%
16      113.6110
↗0.109, 0.10%
17      113.9400
↘0.329, 0.29%
18      114.1140
↘0.174, 0.15%
19      114.0070
↗0.107, 0.09%
20      113.9910
↗0.016, 0.01%
21      113.9910
→0.000, 0.00%
22      114.1680
↘0.177, 0.16%
23      114.4270
↘0.259, 0.23%
24      114.3950
↗0.032, 0.03%
25      113.9940
↗0.401, 0.35%
26      114.8530
↘0.859, 0.75%
27      114.9480
↘0.095, 0.08%
28      114.9480
→0.000, 0.00%
29      114.9480
→0.000, 0.00%
30      115.0680
↘0.120, 0.10%
31      114.9580
↗0.110, 0.10%
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(“2017-10-01”),112.733,112.73],[new Date(“2017-10-02”),113.157,113.16],[new Date(“2017-10-03”),112.865,112.86],[new Date(“2017-10-04”),113.165,113.17],[new Date(“2017-10-05”),113.298,113.30],[new Date(“2017-10-06”),113.529,113.53],[new Date(“2017-10-07”),113.529,113.53],[new Date(“2017-10-08”),113.529,113.53],[new Date(“2017-10-09”),113.157,113.16],[new Date(“2017-10-10”),113.369,113.37],[new Date(“2017-10-11”),113.300,113.30],[new Date(“2017-10-12”),113.139,113.14],[new Date(“2017-10-13”),113.705,113.71],[new Date(“2017-10-14”),113.705,113.71],[new Date(“2017-10-15”),113.720,113.72],[new Date(“2017-10-16”),113.611,113.61],[new Date(“2017-10-17”),113.940,113.94],[new Date(“2017-10-18”),114.114,114.11],[new Date(“2017-10-19”),114.007,114.01],[new Date(“2017-10-20”),113.991,113.99],[new Date(“2017-10-21”),113.991,113.99],[new Date(“2017-10-22”),114.168,114.17],[new Date(“2017-10-23”),114.427,114.43],[new Date(“2017-10-24”),114.395,114.39],[new Date(“2017-10-25”),113.994,113.99],[new Date(“2017-10-26”),114.853,114.85],[new Date(“2017-10-27”),114.948,114.95],[new Date(“2017-10-28”),114.948,114.95],[new Date(“2017-10-29”),114.948,114.95],[new Date(“2017-10-30”),115.068,115.07],[new Date(“2017-10-31″),114.958,114.96],]);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, 2017

01      110.9890
02      110.9890
→0.000, 0.00%
03      110.6860
↗0.303, 0.27%
04      110.8970
↘0.211, 0.19%
05      110.8440
↗0.053, 0.05%
06      110.7840
↗0.060, 0.05%
07      110.5210
↗0.263, 0.24%
08      110.4870
↗0.034, 0.03%
09      110.4870
→0.000, 0.00%
10      110.4880
↘0.001, 0.00%
11      110.7490
↘0.261, 0.24%
12      110.7630
↘0.014, 0.01%
13      111.1460
↘0.383, 0.35%
14      111.1750
↘0.029, 0.03%
15      110.9630
↗0.212, 0.19%
16      110.9630
→0.000, 0.00%
17      110.7030
↗0.260, 0.23%
18      111.0460
↘0.343, 0.31%
19      111.1710
↘0.125, 0.11%
20      111.4000
↘0.229, 0.21%
21      111.9999
↘0.600, 0.54%
22      112.0170
↘0.017, 0.02%
23      112.0170
→0.000, 0.00%
24      112.0170
→0.000, 0.00%
25      112.4020
↘0.385, 0.34%
26      112.7560
↘0.354, 0.31%
27      113.2560
↘0.500, 0.44%
28      113.0260
↗0.230, 0.20%
29      112.9850
↗0.041, 0.04%
30      112.7330
↗0.252, 0.22%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2017-09-01”),110.989,110.99],[new Date(“2017-09-02”),110.989,110.99],[new Date(“2017-09-03”),110.686,110.69],[new Date(“2017-09-04”),110.897,110.90],[new Date(“2017-09-05”),110.844,110.84],[new Date(“2017-09-06”),110.784,110.78],[new Date(“2017-09-07”),110.521,110.52],[new Date(“2017-09-08”),110.487,110.49],[new Date(“2017-09-09”),110.487,110.49],[new Date(“2017-09-10”),110.488,110.49],[new Date(“2017-09-11”),110.749,110.75],[new Date(“2017-09-12”),110.763,110.76],[new Date(“2017-09-13”),111.146,111.15],[new Date(“2017-09-14”),111.175,111.18],[new Date(“2017-09-15”),110.963,110.96],[new Date(“2017-09-16”),110.963,110.96],[new Date(“2017-09-17”),110.703,110.70],[new Date(“2017-09-18”),111.046,111.05],[new Date(“2017-09-19”),111.171,111.17],[new Date(“2017-09-20”),111.400,111.40],[new Date(“2017-09-21”),112.000,112.00],[new Date(“2017-09-22”),112.017,112.02],[new Date(“2017-09-23”),112.017,112.02],[new Date(“2017-09-24”),112.017,112.02],[new Date(“2017-09-25”),112.402,112.40],[new Date(“2017-09-26”),112.756,112.76],[new Date(“2017-09-27”),113.256,113.26],[new Date(“2017-09-28”),113.026,113.03],[new Date(“2017-09-29”),112.985,112.99],[new Date(“2017-09-30″),112.733,112.73],]);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_9’));
chart.draw(data, options);
}

August, 2017

01      108.1590
02      108.1390
↗0.020, 0.02%
03      108.0970
↗0.042, 0.04%
04      108.0970
↘0.000, 0.00%
05      108.0970
→0.000, 0.00%
06      108.0970
↘0.000, 0.00%
07      108.9610
↘0.864, 0.80%
08      109.0980
↘0.137, 0.13%
09      109.4420
↘0.344, 0.32%
10      109.3050
↗0.137, 0.13%
11      109.3850
↘0.080, 0.07%
12      109.3850
→0.000, 0.00%
13      109.3850
→0.000, 0.00%
14      109.2220
↗0.163, 0.15%
15      109.4690
↘0.247, 0.23%
16      109.4330
↗0.036, 0.03%
17      109.7740
↘0.341, 0.31%
18      109.6020
↗0.172, 0.16%
19      109.6020
→0.000, 0.00%
20      109.6020
→0.000, 0.00%
21      109.4550
↗0.147, 0.13%
22      109.8150
↘0.360, 0.33%
23      109.7380
↗0.077, 0.07%
24      109.7130
↗0.025, 0.02%
25      109.4760
↗0.237, 0.22%
26      109.4760
→0.000, 0.00%
27      109.4760
→0.000, 0.00%
28      109.5530
↘0.077, 0.07%
29      109.9120
↘0.359, 0.33%
30      110.3170
↘0.405, 0.37%
31      110.9410
↘0.624, 0.57%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2017-08-01”),108.159,108.16],[new Date(“2017-08-02”),108.139,108.14],[new Date(“2017-08-03”),108.097,108.10],[new Date(“2017-08-04”),108.097,108.10],[new Date(“2017-08-05”),108.097,108.10],[new Date(“2017-08-06”),108.097,108.10],[new Date(“2017-08-07”),108.961,108.96],[new Date(“2017-08-08”),109.098,109.10],[new Date(“2017-08-09”),109.442,109.44],[new Date(“2017-08-10”),109.305,109.30],[new Date(“2017-08-11”),109.385,109.39],[new Date(“2017-08-12”),109.385,109.39],[new Date(“2017-08-13”),109.385,109.39],[new Date(“2017-08-14”),109.222,109.22],[new Date(“2017-08-15”),109.469,109.47],[new Date(“2017-08-16”),109.433,109.43],[new Date(“2017-08-17”),109.774,109.77],[new Date(“2017-08-18”),109.602,109.60],[new Date(“2017-08-19”),109.602,109.60],[new Date(“2017-08-20”),109.602,109.60],[new Date(“2017-08-21”),109.455,109.46],[new Date(“2017-08-22”),109.815,109.82],[new Date(“2017-08-23”),109.738,109.74],[new Date(“2017-08-24”),109.713,109.71],[new Date(“2017-08-25”),109.476,109.48],[new Date(“2017-08-26”),109.476,109.48],[new Date(“2017-08-27”),109.476,109.48],[new Date(“2017-08-28”),109.553,109.55],[new Date(“2017-08-29”),109.912,109.91],[new Date(“2017-08-30”),110.317,110.32],[new Date(“2017-08-31″),110.941,110.94],]);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_8’));
chart.draw(data, options);
}

July, 2017

01      107.6680
02      107.6680
→0.000, 0.00%
03      107.8370
↘0.169, 0.16%
04      107.9240
↘0.087, 0.08%
05      107.9810
↘0.057, 0.05%
06      107.9600
↗0.021, 0.02%
07      107.9960
↘0.036, 0.03%
08      107.9960
→0.000, 0.00%
09      107.9960
→0.000, 0.00%
10      108.0680
↘0.072, 0.07%
11      109.0480
↘0.980, 0.91%
12      109.0330
↗0.015, 0.01%
13      109.0702
↘0.037, 0.03%
14      108.8340
↗0.236, 0.22%
15      108.8340
→0.000, 0.00%
16      108.8340
↗0.000, 0.00%
17      108.7820
↗0.052, 0.05%
18      108.7710
↗0.011, 0.01%
19      108.8240
↘0.053, 0.05%
20      108.8740
↘0.050, 0.05%
21      108.8480
↗0.026, 0.02%
22      108.8480
→0.000, 0.00%
23      108.5570
↗0.291, 0.27%
24      108.6970
↘0.140, 0.13%
25      108.6410
↗0.056, 0.05%
26      108.4700
↗0.171, 0.16%
27      108.2670
↗0.203, 0.19%
28      108.2800
↘0.013, 0.01%
29      108.2800
→0.000, 0.00%
30      108.2800
→0.000, 0.00%
31      108.0970
↗0.183, 0.17%
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(“2017-07-01”),107.668,107.67],[new Date(“2017-07-02”),107.668,107.67],[new Date(“2017-07-03”),107.837,107.84],[new Date(“2017-07-04”),107.924,107.92],[new Date(“2017-07-05”),107.981,107.98],[new Date(“2017-07-06”),107.960,107.96],[new Date(“2017-07-07”),107.996,108.00],[new Date(“2017-07-08”),107.996,108.00],[new Date(“2017-07-09”),107.996,108.00],[new Date(“2017-07-10”),108.068,108.07],[new Date(“2017-07-11”),109.048,109.05],[new Date(“2017-07-12”),109.033,109.03],[new Date(“2017-07-13”),109.070,109.07],[new Date(“2017-07-14”),108.834,108.83],[new Date(“2017-07-15”),108.834,108.83],[new Date(“2017-07-16”),108.834,108.83],[new Date(“2017-07-17”),108.782,108.78],[new Date(“2017-07-18”),108.771,108.77],[new Date(“2017-07-19”),108.824,108.82],[new Date(“2017-07-20”),108.874,108.87],[new Date(“2017-07-21”),108.848,108.85],[new Date(“2017-07-22”),108.848,108.85],[new Date(“2017-07-23”),108.557,108.56],[new Date(“2017-07-24”),108.697,108.70],[new Date(“2017-07-25”),108.641,108.64],[new Date(“2017-07-26”),108.470,108.47],[new Date(“2017-07-27”),108.267,108.27],[new Date(“2017-07-28”),108.280,108.28],[new Date(“2017-07-29”),108.280,108.28],[new Date(“2017-07-30”),108.280,108.28],[new Date(“2017-07-31″),108.097,108.10],]);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, 2017

01      108.2520
02      108.1440
↗0.108, 0.10%
03      108.1440
→0.000, 0.00%
04      108.2550
↘0.111, 0.10%
05      108.0980
↗0.157, 0.15%
06      107.8920
↗0.206, 0.19%
07      108.1040
↘0.212, 0.20%
08      107.8990
↗0.205, 0.19%
09      108.0470
↘0.148, 0.14%
10      108.0470
→0.000, 0.00%
11      108.0480
↘0.001, 0.00%
12      108.0440
↗0.004, 0.00%
13      108.2670
↘0.223, 0.21%
14      108.0620
↗0.205, 0.19%
15      108.4890
↘0.427, 0.40%
16      108.3270
↗0.162, 0.15%
17      108.3270
→0.000, 0.00%
18      108.3270
→0.000, 0.00%
19      108.2320
↗0.095, 0.09%
20      108.5670
↘0.335, 0.31%
21      108.3610
↗0.206, 0.19%
22      108.4700
↘0.109, 0.10%
23      108.4200
↗0.050, 0.05%
24      108.4200
→0.000, 0.00%
25      108.4210
↘0.001, 0.00%
26      108.3040
↗0.117, 0.11%
27      107.7200
↗0.584, 0.54%
28      107.9650
↘0.245, 0.23%
29      107.6670
↗0.298, 0.28%
30      107.6680
↘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(“2017-06-01”),108.252,108.25],[new Date(“2017-06-02”),108.144,108.14],[new Date(“2017-06-03”),108.144,108.14],[new Date(“2017-06-04”),108.255,108.26],[new Date(“2017-06-05”),108.098,108.10],[new Date(“2017-06-06”),107.892,107.89],[new Date(“2017-06-07”),108.104,108.10],[new Date(“2017-06-08”),107.899,107.90],[new Date(“2017-06-09”),108.047,108.05],[new Date(“2017-06-10”),108.047,108.05],[new Date(“2017-06-11”),108.048,108.05],[new Date(“2017-06-12”),108.044,108.04],[new Date(“2017-06-13”),108.267,108.27],[new Date(“2017-06-14”),108.062,108.06],[new Date(“2017-06-15”),108.489,108.49],[new Date(“2017-06-16”),108.327,108.33],[new Date(“2017-06-17”),108.327,108.33],[new Date(“2017-06-18”),108.327,108.33],[new Date(“2017-06-19”),108.232,108.23],[new Date(“2017-06-20”),108.567,108.57],[new Date(“2017-06-21”),108.361,108.36],[new Date(“2017-06-22”),108.470,108.47],[new Date(“2017-06-23”),108.420,108.42],[new Date(“2017-06-24”),108.420,108.42],[new Date(“2017-06-25”),108.421,108.42],[new Date(“2017-06-26”),108.304,108.30],[new Date(“2017-06-27”),107.720,107.72],[new Date(“2017-06-28”),107.965,107.96],[new Date(“2017-06-29”),107.667,107.67],[new Date(“2017-06-30″),107.668,107.67],]);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, 2017

01      109.1130
02      109.0890
↗0.024, 0.02%
03      108.9110
↗0.178, 0.16%
04      109.0480
↘0.137, 0.13%
05      109.0480
→0.000, 0.00%
06      109.0480
→0.000, 0.00%
07      109.0470
↗0.001, 0.00%
08      108.8540
↗0.193, 0.18%
09      109.1790
↘0.325, 0.30%
10      109.2580
↘0.079, 0.07%
11      109.2910
↘0.033, 0.03%
12      109.1970
↗0.094, 0.09%
13      109.1970
→0.000, 0.00%
14      109.1970
→0.000, 0.00%
15      108.9520
↗0.245, 0.22%
16      108.4620
↗0.490, 0.45%
17      108.2570
↗0.205, 0.19%
18      108.5190
↘0.262, 0.24%
19      108.0990
↗0.420, 0.39%
20      108.0990
→0.000, 0.00%
21      108.0990
→0.000, 0.00%
22      107.8740
↗0.225, 0.21%
23      108.2280
↘0.354, 0.33%
24      108.2710
↘0.043, 0.04%
25      108.2330
↗0.038, 0.04%
26      108.3660
↘0.133, 0.12%
27      108.0760
↗0.290, 0.27%
28      108.0760
→0.000, 0.00%
29      108.4440
↘0.368, 0.34%
30      108.3890
↗0.055, 0.05%
31      108.2090
↗0.180, 0.17%
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(“2017-05-01”),109.113,109.11],[new Date(“2017-05-02”),109.089,109.09],[new Date(“2017-05-03”),108.911,108.91],[new Date(“2017-05-04”),109.048,109.05],[new Date(“2017-05-05”),109.048,109.05],[new Date(“2017-05-06”),109.048,109.05],[new Date(“2017-05-07”),109.047,109.05],[new Date(“2017-05-08”),108.854,108.85],[new Date(“2017-05-09”),109.179,109.18],[new Date(“2017-05-10”),109.258,109.26],[new Date(“2017-05-11”),109.291,109.29],[new Date(“2017-05-12”),109.197,109.20],[new Date(“2017-05-13”),109.197,109.20],[new Date(“2017-05-14”),109.197,109.20],[new Date(“2017-05-15”),108.952,108.95],[new Date(“2017-05-16”),108.462,108.46],[new Date(“2017-05-17”),108.257,108.26],[new Date(“2017-05-18”),108.519,108.52],[new Date(“2017-05-19”),108.099,108.10],[new Date(“2017-05-20”),108.099,108.10],[new Date(“2017-05-21”),108.099,108.10],[new Date(“2017-05-22”),107.874,107.87],[new Date(“2017-05-23”),108.228,108.23],[new Date(“2017-05-24”),108.271,108.27],[new Date(“2017-05-25”),108.233,108.23],[new Date(“2017-05-26”),108.366,108.37],[new Date(“2017-05-27”),108.076,108.08],[new Date(“2017-05-28”),108.076,108.08],[new Date(“2017-05-29”),108.444,108.44],[new Date(“2017-05-30”),108.389,108.39],[new Date(“2017-05-31″),108.209,108.21],]);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, 2017

01      109.6870
02      109.7110
↘0.024, 0.02%
03      109.6150
↗0.096, 0.09%
04      109.7700
↘0.155, 0.14%
05      109.6950
↗0.075, 0.07%
06      109.9240
↘0.229, 0.21%
07      110.1380
↘0.214, 0.19%
08      110.0004
↗0.138, 0.13%
09      109.9650
↗0.035, 0.03%
10      110.1200
↘0.155, 0.14%
11      110.2770
↘0.157, 0.14%
12      109.9280
↗0.349, 0.32%
13      110.0070
↘0.079, 0.07%
14      110.1340
↘0.127, 0.12%
15      110.1340
→0.000, 0.00%
16      110.1340
→0.000, 0.00%
17      109.7110
↗0.423, 0.38%
18      109.5340
↗0.177, 0.16%
19      109.7110
↘0.177, 0.16%
20      109.3970
↗0.314, 0.29%
21      109.5690
↘0.172, 0.16%
22      109.5690
→0.000, 0.00%
23      109.5690
↗0.000, 0.00%
24      108.8760
↗0.693, 0.63%
25      109.0980
↘0.222, 0.20%
26      108.8280
↗0.270, 0.25%
27      108.9970
↘0.169, 0.16%
28      109.0480
↘0.051, 0.05%
29      109.0480
→0.000, 0.00%
30      109.0480
→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(“2017-04-01”),109.687,109.69],[new Date(“2017-04-02”),109.711,109.71],[new Date(“2017-04-03”),109.615,109.61],[new Date(“2017-04-04”),109.770,109.77],[new Date(“2017-04-05”),109.695,109.69],[new Date(“2017-04-06”),109.924,109.92],[new Date(“2017-04-07”),110.138,110.14],[new Date(“2017-04-08”),110.000,110.00],[new Date(“2017-04-09”),109.965,109.96],[new Date(“2017-04-10”),110.120,110.12],[new Date(“2017-04-11”),110.277,110.28],[new Date(“2017-04-12”),109.928,109.93],[new Date(“2017-04-13”),110.007,110.01],[new Date(“2017-04-14”),110.134,110.13],[new Date(“2017-04-15”),110.134,110.13],[new Date(“2017-04-16”),110.134,110.13],[new Date(“2017-04-17”),109.711,109.71],[new Date(“2017-04-18”),109.534,109.53],[new Date(“2017-04-19”),109.711,109.71],[new Date(“2017-04-20”),109.397,109.40],[new Date(“2017-04-21”),109.569,109.57],[new Date(“2017-04-22”),109.569,109.57],[new Date(“2017-04-23”),109.569,109.57],[new Date(“2017-04-24”),108.876,108.88],[new Date(“2017-04-25”),109.098,109.10],[new Date(“2017-04-26”),108.828,108.83],[new Date(“2017-04-27”),108.997,109.00],[new Date(“2017-04-28”),109.048,109.05],[new Date(“2017-04-29”),109.048,109.05],[new Date(“2017-04-30″),109.048,109.05],]);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, 2017

01      110.2460
02      110.2600
↘0.014, 0.01%
03      109.9240
↗0.336, 0.30%
04      109.9240
→0.000, 0.00%
05      109.9240
→0.000, 0.00%
06      109.7930
↗0.131, 0.12%
07      109.8730
↘0.080, 0.07%
08      109.9030
↘0.030, 0.03%
09      110.0140
↘0.111, 0.10%
10      109.4790
↗0.535, 0.49%
11      109.4790
→0.000, 0.00%
12      109.8480
↘0.369, 0.34%
13      109.7130
↗0.135, 0.12%
14      109.8970
↘0.184, 0.17%
15      109.3790
↗0.518, 0.47%
16      109.1440
↗0.235, 0.21%
17      109.0950
↗0.049, 0.04%
18      109.0950
→0.000, 0.00%
19      109.3640
↘0.269, 0.25%
20      109.3320
↗0.032, 0.03%
21      108.8900
↗0.442, 0.40%
22      109.1830
↘0.293, 0.27%
23      108.9860
↗0.197, 0.18%
24      109.0980
↘0.112, 0.10%
25      109.0980
→0.000, 0.00%
26      109.0980
↗0.000, 0.00%
27      109.0300
↗0.068, 0.06%
28      108.9160
↗0.114, 0.10%
29      109.3880
↘0.472, 0.43%
30      109.3680
↗0.020, 0.02%
31      109.6870
↘0.319, 0.29%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2017-03-01”),110.246,110.25],[new Date(“2017-03-02”),110.260,110.26],[new Date(“2017-03-03”),109.924,109.92],[new Date(“2017-03-04”),109.924,109.92],[new Date(“2017-03-05”),109.924,109.92],[new Date(“2017-03-06”),109.793,109.79],[new Date(“2017-03-07”),109.873,109.87],[new Date(“2017-03-08”),109.903,109.90],[new Date(“2017-03-09”),110.014,110.01],[new Date(“2017-03-10”),109.479,109.48],[new Date(“2017-03-11”),109.479,109.48],[new Date(“2017-03-12”),109.848,109.85],[new Date(“2017-03-13”),109.713,109.71],[new Date(“2017-03-14”),109.897,109.90],[new Date(“2017-03-15”),109.379,109.38],[new Date(“2017-03-16”),109.144,109.14],[new Date(“2017-03-17”),109.095,109.10],[new Date(“2017-03-18”),109.095,109.10],[new Date(“2017-03-19”),109.364,109.36],[new Date(“2017-03-20”),109.332,109.33],[new Date(“2017-03-21”),108.890,108.89],[new Date(“2017-03-22”),109.183,109.18],[new Date(“2017-03-23”),108.986,108.99],[new Date(“2017-03-24”),109.098,109.10],[new Date(“2017-03-25”),109.098,109.10],[new Date(“2017-03-26”),109.098,109.10],[new Date(“2017-03-27”),109.030,109.03],[new Date(“2017-03-28”),108.916,108.92],[new Date(“2017-03-29”),109.388,109.39],[new Date(“2017-03-30”),109.368,109.37],[new Date(“2017-03-31″),109.687,109.69],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2017

01      109.0170
02      108.6750
↗0.342, 0.31%
03      109.2580
↘0.583, 0.54%
04      109.2580
→0.000, 0.00%
05      109.2580
→0.000, 0.00%
06      109.1540
↗0.104, 0.10%
07      109.3250
↘0.171, 0.16%
08      109.2980
↗0.027, 0.02%
09      109.2790
↗0.019, 0.02%
10      109.7650
↘0.486, 0.44%
11      109.7650
→0.000, 0.00%
12      109.4760
↗0.289, 0.26%
13      109.6000
↘0.124, 0.11%
14      109.5900
↗0.010, 0.01%
15      110.0250
↘0.435, 0.40%
16      109.5050
↗0.520, 0.47%
17      109.9080
↘0.403, 0.37%
18      109.9080
→0.000, 0.00%
19      109.9080
→0.000, 0.00%
20      109.5670
↗0.341, 0.31%
21      109.9490
↘0.382, 0.35%
22      110.0130
↘0.064, 0.06%
23      109.7170
↗0.296, 0.27%
24      110.2070
↘0.490, 0.45%
25      110.2070
→0.000, 0.00%
26      110.2070
→0.000, 0.00%
27      109.7770
↗0.430, 0.39%
28      109.6350
↗0.142, 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(“2017-02-01”),109.017,109.02],[new Date(“2017-02-02”),108.675,108.68],[new Date(“2017-02-03”),109.258,109.26],[new Date(“2017-02-04”),109.258,109.26],[new Date(“2017-02-05”),109.258,109.26],[new Date(“2017-02-06”),109.154,109.15],[new Date(“2017-02-07”),109.325,109.32],[new Date(“2017-02-08”),109.298,109.30],[new Date(“2017-02-09”),109.279,109.28],[new Date(“2017-02-10”),109.765,109.76],[new Date(“2017-02-11”),109.765,109.76],[new Date(“2017-02-12”),109.476,109.48],[new Date(“2017-02-13”),109.600,109.60],[new Date(“2017-02-14”),109.590,109.59],[new Date(“2017-02-15”),110.025,110.03],[new Date(“2017-02-16”),109.505,109.50],[new Date(“2017-02-17”),109.908,109.91],[new Date(“2017-02-18”),109.908,109.91],[new Date(“2017-02-19”),109.908,109.91],[new Date(“2017-02-20”),109.567,109.57],[new Date(“2017-02-21”),109.949,109.95],[new Date(“2017-02-22”),110.013,110.01],[new Date(“2017-02-23”),109.717,109.72],[new Date(“2017-02-24”),110.207,110.21],[new Date(“2017-02-25”),110.207,110.21],[new Date(“2017-02-26”),110.207,110.21],[new Date(“2017-02-27”),109.777,109.78],[new Date(“2017-02-28″),109.635,109.64],]);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, 2017

01      110.1660
02      110.5130
↘0.347, 0.32%
03      110.5300
↘0.017, 0.02%
04      110.3190
↗0.211, 0.19%
05      110.0110
↗0.308, 0.28%
06      110.3080
↘0.297, 0.27%
07      110.3080
→0.000, 0.00%
08      110.3080
→0.000, 0.00%
09      109.8130
↗0.495, 0.45%
10      110.1050
↘0.292, 0.27%
11      110.2300
↘0.125, 0.11%
12      109.6100
↗0.620, 0.56%
13      109.9970
↘0.387, 0.35%
14      109.9970
→0.000, 0.00%
15      109.7920
↗0.205, 0.19%
16      109.7970
↘0.005, 0.00%
17      109.3980
↗0.399, 0.36%
18      109.6570
↘0.259, 0.24%
19      109.5820
↗0.075, 0.07%
20      109.7470
↘0.165, 0.15%
21      109.7470
→0.000, 0.00%
22      109.7470
→0.000, 0.00%
23      109.1730
↗0.574, 0.52%
24      109.3310
↘0.158, 0.14%
25      109.0970
↗0.234, 0.21%
26      109.2530
↘0.156, 0.14%
27      109.4970
↘0.244, 0.22%
28      109.4970
→0.000, 0.00%
29      109.4990
↘0.002, 0.00%
30      109.2320
↗0.267, 0.24%
31      109.0390
↗0.193, 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(“2017-01-01”),110.166,110.17],[new Date(“2017-01-02”),110.513,110.51],[new Date(“2017-01-03”),110.530,110.53],[new Date(“2017-01-04”),110.319,110.32],[new Date(“2017-01-05”),110.011,110.01],[new Date(“2017-01-06”),110.308,110.31],[new Date(“2017-01-07”),110.308,110.31],[new Date(“2017-01-08”),110.308,110.31],[new Date(“2017-01-09”),109.813,109.81],[new Date(“2017-01-10”),110.105,110.11],[new Date(“2017-01-11”),110.230,110.23],[new Date(“2017-01-12”),109.610,109.61],[new Date(“2017-01-13”),109.997,110.00],[new Date(“2017-01-14”),109.997,110.00],[new Date(“2017-01-15”),109.792,109.79],[new Date(“2017-01-16”),109.797,109.80],[new Date(“2017-01-17”),109.398,109.40],[new Date(“2017-01-18”),109.657,109.66],[new Date(“2017-01-19”),109.582,109.58],[new Date(“2017-01-20”),109.747,109.75],[new Date(“2017-01-21”),109.747,109.75],[new Date(“2017-01-22”),109.747,109.75],[new Date(“2017-01-23”),109.173,109.17],[new Date(“2017-01-24”),109.331,109.33],[new Date(“2017-01-25”),109.097,109.10],[new Date(“2017-01-26”),109.253,109.25],[new Date(“2017-01-27”),109.497,109.50],[new Date(“2017-01-28”),109.497,109.50],[new Date(“2017-01-29”),109.499,109.50],[new Date(“2017-01-30”),109.232,109.23],[new Date(“2017-01-31″),109.039,109.04],]);var options = {
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title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}