Pakistani Rupee PKR 2016 Conversion Rates

  • Opening Value is 104.832200 PKR per Dollar
  • Closing Value is 104.300003 PKR per Dollar
  • Change in Value during 2016 is -0.5322 which is -0.51%
  • Best Performance is on 2016-06-12 with 104.137651 PKR per Dollar
  • Lowest Performance is on 2016-01-31 with 105.201999 PKR per Dollar
  • Average Value is 104.6722 PKR per Dollar
  • Swing Between the higest and the lowest is 1.0643 per Dollar, that is 1.02% compared to the opening value.

USD to PKR Conversion Rates – 12 months

Date 1 USD =
2016-12-31 104.3000 PKR
2016-11-30 104.8000 PKR
2016-10-31 104.7700 PKR
2016-09-30 104.4000 PKR
2016-08-31 104.6801 PKR
2016-07-31 104.8000 PKR
2016-06-30 104.7152 PKR
2016-05-31 104.9048 PKR
2016-04-30 104.7999 PKR
2016-03-31 104.7615 PKR
2016-02-29 104.6970 PKR
2016-01-31 105.2020 PKR
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”),104.300,104.30],[new Date(“2016-11-30”),104.800,104.80],[new Date(“2016-10-31”),104.770,104.77],[new Date(“2016-09-30”),104.400,104.40],[new Date(“2016-08-31”),104.680,104.68],[new Date(“2016-07-31”),104.800,104.80],[new Date(“2016-06-30”),104.715,104.72],[new Date(“2016-05-31”),104.905,104.90],[new Date(“2016-04-30”),104.800,104.80],[new Date(“2016-03-31”),104.762,104.76],[new Date(“2016-02-29”),104.697,104.70],[new Date(“2016-01-31”),105.202,105.20],]);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      104.7498
02      104.7800
↘0.030, 0.03%
03      104.7800
→0.000, 0.00%
04      104.7800
→0.000, 0.00%
05      104.6500
↗0.130, 0.12%
06      104.7100
↘0.060, 0.06%
07      104.7000
↗0.010, 0.01%
08      104.7497
↘0.050, 0.05%
09      104.5037
↗0.246, 0.23%
10      104.5037
→0.000, 0.00%
11      104.4978
↗0.006, 0.01%
12      104.4981
↘0.000, 0.00%
13      104.6500
↘0.152, 0.15%
14      104.6500
→0.000, 0.00%
15      104.7800
↘0.130, 0.12%
16      104.7000
↗0.080, 0.08%
17      104.7000
→0.000, 0.00%
18      104.7000
→0.000, 0.00%
19      104.6500
↗0.050, 0.05%
20      104.6500
→0.000, 0.00%
21      104.7000
↘0.050, 0.05%
22      104.6500
↗0.050, 0.05%
23      104.6500
→0.000, 0.00%
24      104.6500
→0.000, 0.00%
25      104.6500
→0.000, 0.00%
26      104.6500
→0.000, 0.00%
27      104.6500
→0.000, 0.00%
28      104.7505
↘0.100, 0.10%
29      104.7000
↗0.050, 0.05%
30      104.3000
↗0.400, 0.38%
31      104.3000
→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”),104.750,104.75],[new Date(“2016-12-02”),104.780,104.78],[new Date(“2016-12-03”),104.780,104.78],[new Date(“2016-12-04”),104.780,104.78],[new Date(“2016-12-05”),104.650,104.65],[new Date(“2016-12-06”),104.710,104.71],[new Date(“2016-12-07”),104.700,104.70],[new Date(“2016-12-08”),104.750,104.75],[new Date(“2016-12-09”),104.504,104.50],[new Date(“2016-12-10”),104.504,104.50],[new Date(“2016-12-11”),104.498,104.50],[new Date(“2016-12-12”),104.498,104.50],[new Date(“2016-12-13”),104.650,104.65],[new Date(“2016-12-14”),104.650,104.65],[new Date(“2016-12-15”),104.780,104.78],[new Date(“2016-12-16”),104.700,104.70],[new Date(“2016-12-17”),104.700,104.70],[new Date(“2016-12-18”),104.700,104.70],[new Date(“2016-12-19”),104.650,104.65],[new Date(“2016-12-20”),104.650,104.65],[new Date(“2016-12-21”),104.700,104.70],[new Date(“2016-12-22”),104.650,104.65],[new Date(“2016-12-23”),104.650,104.65],[new Date(“2016-12-24”),104.650,104.65],[new Date(“2016-12-25”),104.650,104.65],[new Date(“2016-12-26”),104.650,104.65],[new Date(“2016-12-27”),104.650,104.65],[new Date(“2016-12-28”),104.750,104.75],[new Date(“2016-12-29”),104.700,104.70],[new Date(“2016-12-30”),104.300,104.30],[new Date(“2016-12-31″),104.300,104.30],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2016

01      104.7000
02      104.7700
↘0.070, 0.07%
03      104.7200
↗0.050, 0.05%
04      104.7000
↗0.020, 0.02%
05      104.7000
→0.000, 0.00%
06      104.7000
→0.000, 0.00%
07      104.6802
↗0.020, 0.02%
08      104.6000
↗0.080, 0.08%
09      104.6300
↘0.030, 0.03%
10      104.6000
↗0.030, 0.03%
11      104.6500
↘0.050, 0.05%
12      104.6500
→0.000, 0.00%
13      104.6500
→0.000, 0.00%
14      104.7000
↘0.050, 0.05%
15      104.7000
→0.000, 0.00%
16      104.7200
↘0.020, 0.02%
17      104.7506
↘0.031, 0.03%
18      104.6000
↗0.151, 0.14%
19      104.6000
→0.000, 0.00%
20      104.6000
→0.000, 0.00%
21      104.7000
↘0.100, 0.10%
22      104.6798
↗0.020, 0.02%
23      104.8000
↘0.120, 0.11%
24      104.8000
→0.000, 0.00%
25      104.7000
↗0.100, 0.10%
26      104.7000
→0.000, 0.00%
27      104.8000
↘0.100, 0.10%
28      104.7502
↗0.050, 0.05%
29      104.8000
↘0.050, 0.05%
30      104.8000
→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(“2016-11-01”),104.700,104.70],[new Date(“2016-11-02”),104.770,104.77],[new Date(“2016-11-03”),104.720,104.72],[new Date(“2016-11-04”),104.700,104.70],[new Date(“2016-11-05”),104.700,104.70],[new Date(“2016-11-06”),104.700,104.70],[new Date(“2016-11-07”),104.680,104.68],[new Date(“2016-11-08”),104.600,104.60],[new Date(“2016-11-09”),104.630,104.63],[new Date(“2016-11-10”),104.600,104.60],[new Date(“2016-11-11”),104.650,104.65],[new Date(“2016-11-12”),104.650,104.65],[new Date(“2016-11-13”),104.650,104.65],[new Date(“2016-11-14”),104.700,104.70],[new Date(“2016-11-15”),104.700,104.70],[new Date(“2016-11-16”),104.720,104.72],[new Date(“2016-11-17”),104.751,104.75],[new Date(“2016-11-18”),104.600,104.60],[new Date(“2016-11-19”),104.600,104.60],[new Date(“2016-11-20”),104.600,104.60],[new Date(“2016-11-21”),104.700,104.70],[new Date(“2016-11-22”),104.680,104.68],[new Date(“2016-11-23”),104.800,104.80],[new Date(“2016-11-24”),104.800,104.80],[new Date(“2016-11-25”),104.700,104.70],[new Date(“2016-11-26”),104.700,104.70],[new Date(“2016-11-27”),104.800,104.80],[new Date(“2016-11-28”),104.750,104.75],[new Date(“2016-11-29”),104.800,104.80],[new Date(“2016-11-30″),104.800,104.80],]);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      104.4000
02      104.4000
→0.000, 0.00%
03      104.4500
↘0.050, 0.05%
04      104.4500
→0.000, 0.00%
05      104.4600
↘0.010, 0.01%
06      104.4400
↗0.020, 0.02%
07      104.6000
↘0.160, 0.15%
08      104.6000
→0.000, 0.00%
09      104.6000
→0.000, 0.00%
10      104.5500
↗0.050, 0.05%
11      104.4500
↗0.100, 0.10%
12      104.4500
→0.000, 0.00%
13      104.6300
↘0.180, 0.17%
14      104.5800
↗0.050, 0.05%
15      104.5800
→0.000, 0.00%
16      104.5800
→0.000, 0.00%
17      104.7000
↘0.120, 0.11%
18      104.6500
↗0.050, 0.05%
19      104.6500
→0.000, 0.00%
20      104.6500
→0.000, 0.00%
21      104.7400
↘0.090, 0.09%
22      104.7400
→0.000, 0.00%
23      104.7400
→0.000, 0.00%
24      104.7498
↘0.010, 0.01%
25      104.7500
↘0.000, 0.00%
26      104.7000
↗0.050, 0.05%
27      104.7400
↘0.040, 0.04%
28      104.7400
→0.000, 0.00%
29      104.7400
→0.000, 0.00%
30      104.7400
→0.000, 0.00%
31      104.7700
↘0.030, 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(“2016-10-01”),104.400,104.40],[new Date(“2016-10-02”),104.400,104.40],[new Date(“2016-10-03”),104.450,104.45],[new Date(“2016-10-04”),104.450,104.45],[new Date(“2016-10-05”),104.460,104.46],[new Date(“2016-10-06”),104.440,104.44],[new Date(“2016-10-07”),104.600,104.60],[new Date(“2016-10-08”),104.600,104.60],[new Date(“2016-10-09”),104.600,104.60],[new Date(“2016-10-10”),104.550,104.55],[new Date(“2016-10-11”),104.450,104.45],[new Date(“2016-10-12”),104.450,104.45],[new Date(“2016-10-13”),104.630,104.63],[new Date(“2016-10-14”),104.580,104.58],[new Date(“2016-10-15”),104.580,104.58],[new Date(“2016-10-16”),104.580,104.58],[new Date(“2016-10-17”),104.700,104.70],[new Date(“2016-10-18”),104.650,104.65],[new Date(“2016-10-19”),104.650,104.65],[new Date(“2016-10-20”),104.650,104.65],[new Date(“2016-10-21”),104.740,104.74],[new Date(“2016-10-22”),104.740,104.74],[new Date(“2016-10-23”),104.740,104.74],[new Date(“2016-10-24”),104.750,104.75],[new Date(“2016-10-25”),104.750,104.75],[new Date(“2016-10-26”),104.700,104.70],[new Date(“2016-10-27”),104.740,104.74],[new Date(“2016-10-28”),104.740,104.74],[new Date(“2016-10-29”),104.740,104.74],[new Date(“2016-10-30”),104.740,104.74],[new Date(“2016-10-31″),104.770,104.77],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}

September, 2016

01      104.4500
02      104.3800
↗0.070, 0.07%
03      104.3800
→0.000, 0.00%
04      104.6500
↘0.270, 0.26%
05      104.6500
→0.000, 0.00%
06      104.5013
↗0.149, 0.14%
07      104.3500
↗0.151, 0.14%
08      104.2800
↗0.070, 0.07%
09      104.2800
→0.000, 0.00%
10      104.2800
→0.000, 0.00%
11      104.2800
→0.000, 0.00%
12      104.2000
↗0.080, 0.08%
13      104.2000
→0.000, 0.00%
14      104.2000
→0.000, 0.00%
15      104.5019
↘0.302, 0.29%
16      104.5037
↘0.002, 0.00%
17      104.5037
→0.000, 0.00%
18      104.5058
↘0.002, 0.00%
19      104.4700
↗0.036, 0.03%
20      104.5300
↘0.060, 0.06%
21      104.7000
↘0.170, 0.16%
22      104.7502
↘0.050, 0.05%
23      104.7000
↗0.050, 0.05%
24      104.7000
→0.000, 0.00%
25      104.7000
→0.000, 0.00%
26      104.7500
↘0.050, 0.05%
27      104.6500
↗0.100, 0.10%
28      104.6300
↗0.020, 0.02%
29      104.6200
↗0.010, 0.01%
30      104.4000
↗0.220, 0.21%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-09-01”),104.450,104.45],[new Date(“2016-09-02”),104.380,104.38],[new Date(“2016-09-03”),104.380,104.38],[new Date(“2016-09-04”),104.650,104.65],[new Date(“2016-09-05”),104.650,104.65],[new Date(“2016-09-06”),104.501,104.50],[new Date(“2016-09-07”),104.350,104.35],[new Date(“2016-09-08”),104.280,104.28],[new Date(“2016-09-09”),104.280,104.28],[new Date(“2016-09-10”),104.280,104.28],[new Date(“2016-09-11”),104.280,104.28],[new Date(“2016-09-12”),104.200,104.20],[new Date(“2016-09-13”),104.200,104.20],[new Date(“2016-09-14”),104.200,104.20],[new Date(“2016-09-15”),104.502,104.50],[new Date(“2016-09-16”),104.504,104.50],[new Date(“2016-09-17”),104.504,104.50],[new Date(“2016-09-18”),104.506,104.51],[new Date(“2016-09-19”),104.470,104.47],[new Date(“2016-09-20”),104.530,104.53],[new Date(“2016-09-21”),104.700,104.70],[new Date(“2016-09-22”),104.750,104.75],[new Date(“2016-09-23”),104.700,104.70],[new Date(“2016-09-24”),104.700,104.70],[new Date(“2016-09-25”),104.700,104.70],[new Date(“2016-09-26”),104.750,104.75],[new Date(“2016-09-27”),104.650,104.65],[new Date(“2016-09-28”),104.630,104.63],[new Date(“2016-09-29”),104.620,104.62],[new Date(“2016-09-30″),104.400,104.40],]);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      104.6900
02      104.6500
↗0.040, 0.04%
03      104.4200
↗0.230, 0.22%
04      104.3500
↗0.070, 0.07%
05      104.5037
↘0.154, 0.15%
06      104.5037
→0.000, 0.00%
07      104.5020
↗0.002, 0.00%
08      104.4800
↗0.022, 0.02%
09      104.4962
↘0.016, 0.02%
10      104.5500
↘0.054, 0.05%
11      104.4976
↗0.052, 0.05%
12      104.6000
↘0.102, 0.10%
13      104.6000
→0.000, 0.00%
14      104.6000
→0.000, 0.00%
15      104.6000
→0.000, 0.00%
16      104.6400
↘0.040, 0.04%
17      104.6300
↗0.010, 0.01%
18      104.6500
↘0.020, 0.02%
19      104.6300
↗0.020, 0.02%
20      104.6300
→0.000, 0.00%
21      104.6300
→0.000, 0.00%
22      104.7400
↘0.110, 0.11%
23      104.7400
→0.000, 0.00%
24      104.7200
↗0.020, 0.02%
25      104.7499
↘0.030, 0.03%
26      104.7000
↗0.050, 0.05%
27      104.7000
→0.000, 0.00%
28      104.7000
→0.000, 0.00%
29      104.6200
↗0.080, 0.08%
30      104.6500
↘0.030, 0.03%
31      104.6801
↘0.030, 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(“2016-08-01”),104.690,104.69],[new Date(“2016-08-02”),104.650,104.65],[new Date(“2016-08-03”),104.420,104.42],[new Date(“2016-08-04”),104.350,104.35],[new Date(“2016-08-05”),104.504,104.50],[new Date(“2016-08-06”),104.504,104.50],[new Date(“2016-08-07”),104.502,104.50],[new Date(“2016-08-08”),104.480,104.48],[new Date(“2016-08-09”),104.496,104.50],[new Date(“2016-08-10”),104.550,104.55],[new Date(“2016-08-11”),104.498,104.50],[new Date(“2016-08-12”),104.600,104.60],[new Date(“2016-08-13”),104.600,104.60],[new Date(“2016-08-14”),104.600,104.60],[new Date(“2016-08-15”),104.600,104.60],[new Date(“2016-08-16”),104.640,104.64],[new Date(“2016-08-17”),104.630,104.63],[new Date(“2016-08-18”),104.650,104.65],[new Date(“2016-08-19”),104.630,104.63],[new Date(“2016-08-20”),104.630,104.63],[new Date(“2016-08-21”),104.630,104.63],[new Date(“2016-08-22”),104.740,104.74],[new Date(“2016-08-23”),104.740,104.74],[new Date(“2016-08-24”),104.720,104.72],[new Date(“2016-08-25”),104.750,104.75],[new Date(“2016-08-26”),104.700,104.70],[new Date(“2016-08-27”),104.700,104.70],[new Date(“2016-08-28”),104.700,104.70],[new Date(“2016-08-29”),104.620,104.62],[new Date(“2016-08-30”),104.650,104.65],[new Date(“2016-08-31″),104.680,104.68],]);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      104.6671
02      104.7496
↘0.082, 0.08%
03      104.6510
↗0.099, 0.09%
04      104.6180
↗0.033, 0.03%
05      104.8486
↘0.231, 0.22%
06      104.6665
↗0.182, 0.17%
07      104.8422
↘0.176, 0.17%
08      104.6908
↗0.151, 0.14%
09      104.7276
↘0.037, 0.04%
10      104.7460
↘0.018, 0.02%
11      104.8135
↘0.068, 0.06%
12      104.8705
↘0.057, 0.05%
13      104.7917
↗0.079, 0.08%
14      104.8094
↘0.018, 0.02%
15      104.6500
↗0.159, 0.15%
16      104.6500
→0.000, 0.00%
17      104.6500
→0.000, 0.00%
18      104.8000
↘0.150, 0.14%
19      104.8000
→0.000, 0.00%
20      104.8000
→0.000, 0.00%
21      104.7000
↗0.100, 0.10%
22      104.7000
→0.000, 0.00%
23      104.7000
→0.000, 0.00%
24      104.7000
→0.000, 0.00%
25      104.7200
↘0.020, 0.02%
26      104.6500
↗0.070, 0.07%
27      104.7000
↘0.050, 0.05%
28      104.7500
↘0.050, 0.05%
29      104.8000
↘0.050, 0.05%
30      104.8000
→0.000, 0.00%
31      104.8000
→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”),104.667,104.67],[new Date(“2016-07-02”),104.750,104.75],[new Date(“2016-07-03”),104.651,104.65],[new Date(“2016-07-04”),104.618,104.62],[new Date(“2016-07-05”),104.849,104.85],[new Date(“2016-07-06”),104.667,104.67],[new Date(“2016-07-07”),104.842,104.84],[new Date(“2016-07-08”),104.691,104.69],[new Date(“2016-07-09”),104.728,104.73],[new Date(“2016-07-10”),104.746,104.75],[new Date(“2016-07-11”),104.814,104.81],[new Date(“2016-07-12”),104.870,104.87],[new Date(“2016-07-13”),104.792,104.79],[new Date(“2016-07-14”),104.809,104.81],[new Date(“2016-07-15”),104.650,104.65],[new Date(“2016-07-16”),104.650,104.65],[new Date(“2016-07-17”),104.650,104.65],[new Date(“2016-07-18”),104.800,104.80],[new Date(“2016-07-19”),104.800,104.80],[new Date(“2016-07-20”),104.800,104.80],[new Date(“2016-07-21”),104.700,104.70],[new Date(“2016-07-22”),104.700,104.70],[new Date(“2016-07-23”),104.700,104.70],[new Date(“2016-07-24”),104.700,104.70],[new Date(“2016-07-25”),104.720,104.72],[new Date(“2016-07-26”),104.650,104.65],[new Date(“2016-07-27”),104.700,104.70],[new Date(“2016-07-28”),104.750,104.75],[new Date(“2016-07-29”),104.800,104.80],[new Date(“2016-07-30”),104.800,104.80],[new Date(“2016-07-31″),104.800,104.80],]);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      104.7674
02      104.7204
↗0.047, 0.04%
03      104.6668
↗0.054, 0.05%
04      104.7345
↘0.068, 0.06%
05      104.6773
↗0.057, 0.05%
06      104.6490
↗0.028, 0.03%
07      104.4412
↗0.208, 0.20%
08      104.5330
↘0.092, 0.09%
09      104.3651
↗0.168, 0.16%
10      104.2902
↗0.075, 0.07%
11      104.3133
↘0.023, 0.02%
12      104.1377
↗0.176, 0.17%
13      104.3760
↘0.238, 0.23%
14      104.6116
↘0.236, 0.23%
15      104.4959
↗0.116, 0.11%
16      104.5321
↘0.036, 0.03%
17      104.5769
↘0.045, 0.04%
18      104.6825
↘0.106, 0.10%
19      104.5730
↗0.110, 0.10%
20      104.6877
↘0.115, 0.11%
21      104.7502
↘0.062, 0.06%
22      104.6177
↗0.133, 0.13%
23      104.8169
↘0.199, 0.19%
24      104.6202
↗0.197, 0.19%
25      104.6665
↘0.046, 0.04%
26      104.6262
↗0.040, 0.04%
27      104.6560
↘0.030, 0.03%
28      104.7157
↘0.060, 0.06%
29      104.6958
↗0.020, 0.02%
30      104.7152
↘0.019, 0.02%
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”),104.767,104.77],[new Date(“2016-06-02”),104.720,104.72],[new Date(“2016-06-03”),104.667,104.67],[new Date(“2016-06-04”),104.735,104.73],[new Date(“2016-06-05”),104.677,104.68],[new Date(“2016-06-06”),104.649,104.65],[new Date(“2016-06-07”),104.441,104.44],[new Date(“2016-06-08”),104.533,104.53],[new Date(“2016-06-09”),104.365,104.37],[new Date(“2016-06-10”),104.290,104.29],[new Date(“2016-06-11”),104.313,104.31],[new Date(“2016-06-12”),104.138,104.14],[new Date(“2016-06-13”),104.376,104.38],[new Date(“2016-06-14”),104.612,104.61],[new Date(“2016-06-15”),104.496,104.50],[new Date(“2016-06-16”),104.532,104.53],[new Date(“2016-06-17”),104.577,104.58],[new Date(“2016-06-18”),104.683,104.68],[new Date(“2016-06-19”),104.573,104.57],[new Date(“2016-06-20”),104.688,104.69],[new Date(“2016-06-21”),104.750,104.75],[new Date(“2016-06-22”),104.618,104.62],[new Date(“2016-06-23”),104.817,104.82],[new Date(“2016-06-24”),104.620,104.62],[new Date(“2016-06-25”),104.666,104.67],[new Date(“2016-06-26”),104.626,104.63],[new Date(“2016-06-27”),104.656,104.66],[new Date(“2016-06-28”),104.716,104.72],[new Date(“2016-06-29”),104.696,104.70],[new Date(“2016-06-30″),104.715,104.72],]);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      104.6756
02      104.7980
↘0.122, 0.12%
03      104.7050
↗0.093, 0.09%
04      104.6747
↗0.030, 0.03%
05      104.7667
↘0.092, 0.09%
06      104.7013
↗0.065, 0.06%
07      104.7157
↘0.014, 0.01%
08      104.7183
↘0.003, 0.00%
09      104.6990
↗0.019, 0.02%
10      104.7062
↘0.007, 0.01%
11      104.6859
↗0.020, 0.02%
12      104.6632
↗0.023, 0.02%
13      104.6446
↗0.019, 0.02%
14      104.6987
↘0.054, 0.05%
15      104.6610
↗0.038, 0.04%
16      104.6860
↘0.025, 0.02%
17      104.6990
↘0.013, 0.01%
18      104.7190
↘0.020, 0.02%
19      104.7090
↗0.010, 0.01%
20      104.8203
↘0.111, 0.11%
21      104.7723
↗0.048, 0.05%
22      104.7680
↗0.004, 0.00%
23      105.1670
↘0.399, 0.38%
24      104.8290
↗0.338, 0.32%
25      104.7518
↗0.077, 0.07%
26      104.8070
↘0.055, 0.05%
27      104.7048
↗0.102, 0.10%
28      104.6973
↗0.008, 0.01%
29      104.7283
↘0.031, 0.03%
30      104.7890
↘0.061, 0.06%
31      104.9048
↘0.116, 0.11%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),104.676,104.68],[new Date(“2016-05-02”),104.798,104.80],[new Date(“2016-05-03”),104.705,104.71],[new Date(“2016-05-04”),104.675,104.67],[new Date(“2016-05-05”),104.767,104.77],[new Date(“2016-05-06”),104.701,104.70],[new Date(“2016-05-07”),104.716,104.72],[new Date(“2016-05-08”),104.718,104.72],[new Date(“2016-05-09”),104.699,104.70],[new Date(“2016-05-10”),104.706,104.71],[new Date(“2016-05-11”),104.686,104.69],[new Date(“2016-05-12”),104.663,104.66],[new Date(“2016-05-13”),104.645,104.64],[new Date(“2016-05-14”),104.699,104.70],[new Date(“2016-05-15”),104.661,104.66],[new Date(“2016-05-16”),104.686,104.69],[new Date(“2016-05-17”),104.699,104.70],[new Date(“2016-05-18”),104.719,104.72],[new Date(“2016-05-19”),104.709,104.71],[new Date(“2016-05-20”),104.820,104.82],[new Date(“2016-05-21”),104.772,104.77],[new Date(“2016-05-22”),104.768,104.77],[new Date(“2016-05-23”),105.167,105.17],[new Date(“2016-05-24”),104.829,104.83],[new Date(“2016-05-25”),104.752,104.75],[new Date(“2016-05-26”),104.807,104.81],[new Date(“2016-05-27”),104.705,104.70],[new Date(“2016-05-28”),104.697,104.70],[new Date(“2016-05-29”),104.728,104.73],[new Date(“2016-05-30”),104.789,104.79],[new Date(“2016-05-31″),104.905,104.90],]);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      104.7318
02      104.7495
↘0.018, 0.02%
03      104.7680
↘0.019, 0.02%
04      104.7140
↗0.054, 0.05%
05      104.6885
↗0.025, 0.02%
06      104.6440
↗0.045, 0.04%
07      104.6620
↘0.018, 0.02%
08      104.6591
↗0.003, 0.00%
09      104.7109
↘0.052, 0.05%
10      104.7040
↗0.007, 0.01%
11      104.6830
↗0.021, 0.02%
12      104.6914
↘0.008, 0.01%
13      104.7119
↘0.020, 0.02%
14      104.7306
↘0.019, 0.02%
15      104.7077
↗0.023, 0.02%
16      104.7020
↗0.006, 0.01%
17      104.6800
↗0.022, 0.02%
18      104.7360
↘0.056, 0.05%
19      104.7517
↘0.016, 0.01%
20      104.7121
↗0.040, 0.04%
21      104.7085
↗0.004, 0.00%
22      104.8161
↘0.108, 0.10%
23      104.7732
↗0.043, 0.04%
24      104.7330
↗0.040, 0.04%
25      104.7767
↘0.044, 0.04%
26      104.8081
↘0.031, 0.03%
27      104.7542
↗0.054, 0.05%
28      104.7927
↘0.038, 0.04%
29      104.7908
↗0.002, 0.00%
30      104.7999
↘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”),104.732,104.73],[new Date(“2016-04-02”),104.750,104.75],[new Date(“2016-04-03”),104.768,104.77],[new Date(“2016-04-04”),104.714,104.71],[new Date(“2016-04-05”),104.689,104.69],[new Date(“2016-04-06”),104.644,104.64],[new Date(“2016-04-07”),104.662,104.66],[new Date(“2016-04-08”),104.659,104.66],[new Date(“2016-04-09”),104.711,104.71],[new Date(“2016-04-10”),104.704,104.70],[new Date(“2016-04-11”),104.683,104.68],[new Date(“2016-04-12”),104.691,104.69],[new Date(“2016-04-13”),104.712,104.71],[new Date(“2016-04-14”),104.731,104.73],[new Date(“2016-04-15”),104.708,104.71],[new Date(“2016-04-16”),104.702,104.70],[new Date(“2016-04-17”),104.680,104.68],[new Date(“2016-04-18”),104.736,104.74],[new Date(“2016-04-19”),104.752,104.75],[new Date(“2016-04-20”),104.712,104.71],[new Date(“2016-04-21”),104.709,104.71],[new Date(“2016-04-22”),104.816,104.82],[new Date(“2016-04-23”),104.773,104.77],[new Date(“2016-04-24”),104.733,104.73],[new Date(“2016-04-25”),104.777,104.78],[new Date(“2016-04-26”),104.808,104.81],[new Date(“2016-04-27”),104.754,104.75],[new Date(“2016-04-28”),104.793,104.79],[new Date(“2016-04-29”),104.791,104.79],[new Date(“2016-04-30″),104.800,104.80],]);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      104.8227
02      104.7473
↗0.075, 0.07%
03      104.6224
↗0.125, 0.12%
04      104.7246
↘0.102, 0.10%
05      104.6612
↗0.063, 0.06%
06      104.7640
↘0.103, 0.10%
07      104.6922
↗0.072, 0.07%
08      104.7283
↘0.036, 0.03%
09      104.6745
↗0.054, 0.05%
10      104.7020
↘0.027, 0.03%
11      104.6453
↗0.057, 0.05%
12      104.4328
↗0.213, 0.20%
13      104.4825
↘0.050, 0.05%
14      104.6530
↘0.171, 0.16%
15      104.6053
↗0.048, 0.05%
16      104.4318
↗0.174, 0.17%
17      104.5731
↘0.141, 0.14%
18      104.4730
↗0.100, 0.10%
19      104.6583
↘0.185, 0.18%
20      104.6483
↗0.010, 0.01%
21      104.7413
↘0.093, 0.09%
22      104.7254
↗0.016, 0.02%
23      104.7421
↘0.017, 0.02%
24      104.7522
↘0.010, 0.01%
25      104.7467
↗0.005, 0.01%
26      104.7054
↗0.041, 0.04%
27      104.7250
↘0.020, 0.02%
28      104.7330
↘0.008, 0.01%
29      104.6657
↗0.067, 0.06%
30      104.6725
↘0.007, 0.01%
31      104.7615
↘0.089, 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(“2016-03-01”),104.823,104.82],[new Date(“2016-03-02”),104.747,104.75],[new Date(“2016-03-03”),104.622,104.62],[new Date(“2016-03-04”),104.725,104.72],[new Date(“2016-03-05”),104.661,104.66],[new Date(“2016-03-06”),104.764,104.76],[new Date(“2016-03-07”),104.692,104.69],[new Date(“2016-03-08”),104.728,104.73],[new Date(“2016-03-09”),104.675,104.67],[new Date(“2016-03-10”),104.702,104.70],[new Date(“2016-03-11”),104.645,104.65],[new Date(“2016-03-12”),104.433,104.43],[new Date(“2016-03-13”),104.483,104.48],[new Date(“2016-03-14”),104.653,104.65],[new Date(“2016-03-15”),104.605,104.61],[new Date(“2016-03-16”),104.432,104.43],[new Date(“2016-03-17”),104.573,104.57],[new Date(“2016-03-18”),104.473,104.47],[new Date(“2016-03-19”),104.658,104.66],[new Date(“2016-03-20”),104.648,104.65],[new Date(“2016-03-21”),104.741,104.74],[new Date(“2016-03-22”),104.725,104.73],[new Date(“2016-03-23”),104.742,104.74],[new Date(“2016-03-24”),104.752,104.75],[new Date(“2016-03-25”),104.747,104.75],[new Date(“2016-03-26”),104.705,104.71],[new Date(“2016-03-27”),104.725,104.73],[new Date(“2016-03-28”),104.733,104.73],[new Date(“2016-03-29”),104.666,104.67],[new Date(“2016-03-30”),104.673,104.67],[new Date(“2016-03-31″),104.762,104.76],]);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      104.9030
02      104.9803
↘0.077, 0.07%
03      104.4847
↗0.496, 0.47%
04      104.3745
↗0.110, 0.11%
05      104.2469
↗0.128, 0.12%
06      104.4119
↘0.165, 0.16%
07      104.5400
↘0.128, 0.12%
08      104.4220
↗0.118, 0.11%
09      104.5207
↘0.099, 0.09%
10      104.6004
↘0.080, 0.08%
11      104.6113
↘0.011, 0.01%
12      104.4566
↗0.155, 0.15%
13      104.5270
↘0.070, 0.07%
14      104.5280
↘0.001, 0.00%
15      104.7100
↘0.182, 0.17%
16      104.7345
↘0.024, 0.02%
17      104.7235
↗0.011, 0.01%
18      104.7976
↘0.074, 0.07%
19      104.7643
↗0.033, 0.03%
20      104.7299
↗0.034, 0.03%
21      104.6841
↗0.046, 0.04%
22      104.7980
↘0.114, 0.11%
23      104.7741
↗0.024, 0.02%
24      104.4772
↗0.297, 0.28%
25      104.6011
↘0.124, 0.12%
26      104.5648
↗0.036, 0.03%
27      104.6154
↘0.051, 0.05%
28      104.9440
↘0.329, 0.31%
29      104.6970
↗0.247, 0.24%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-02-01”),104.903,104.90],[new Date(“2016-02-02”),104.980,104.98],[new Date(“2016-02-03”),104.485,104.48],[new Date(“2016-02-04”),104.375,104.37],[new Date(“2016-02-05”),104.247,104.25],[new Date(“2016-02-06”),104.412,104.41],[new Date(“2016-02-07”),104.540,104.54],[new Date(“2016-02-08”),104.422,104.42],[new Date(“2016-02-09”),104.521,104.52],[new Date(“2016-02-10”),104.600,104.60],[new Date(“2016-02-11”),104.611,104.61],[new Date(“2016-02-12”),104.457,104.46],[new Date(“2016-02-13”),104.527,104.53],[new Date(“2016-02-14”),104.528,104.53],[new Date(“2016-02-15”),104.710,104.71],[new Date(“2016-02-16”),104.734,104.73],[new Date(“2016-02-17”),104.724,104.72],[new Date(“2016-02-18”),104.798,104.80],[new Date(“2016-02-19”),104.764,104.76],[new Date(“2016-02-20”),104.730,104.73],[new Date(“2016-02-21”),104.684,104.68],[new Date(“2016-02-22”),104.798,104.80],[new Date(“2016-02-23”),104.774,104.77],[new Date(“2016-02-24”),104.477,104.48],[new Date(“2016-02-25”),104.601,104.60],[new Date(“2016-02-26”),104.565,104.56],[new Date(“2016-02-27”),104.615,104.62],[new Date(“2016-02-28”),104.944,104.94],[new Date(“2016-02-29″),104.697,104.70],]);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_2’));
chart.draw(data, options);
}

January, 2016

01      104.8322
02      104.8531
↘0.021, 0.02%
03      104.8411
↗0.012, 0.01%
04      105.0513
↘0.210, 0.20%
05      104.9290
↗0.122, 0.12%
06      104.8945
↗0.035, 0.03%
07      104.8033
↗0.091, 0.09%
08      104.8788
↘0.075, 0.07%
09      104.8671
↗0.012, 0.01%
10      104.7050
↗0.162, 0.15%
11      104.8907
↘0.186, 0.18%
12      104.8638
↗0.027, 0.03%
13      104.8690
↘0.005, 0.00%
14      104.9562
↘0.087, 0.08%
15      104.8437
↗0.112, 0.11%
16      104.9771
↘0.133, 0.13%
17      104.8660
↗0.111, 0.11%
18      104.9429
↘0.077, 0.07%
19      104.8245
↗0.118, 0.11%
20      104.8856
↘0.061, 0.06%
21      104.9320
↘0.046, 0.04%
22      104.9466
↘0.015, 0.01%
23      104.9738
↘0.027, 0.03%
24      105.0553
↘0.082, 0.08%
25      104.9240
↗0.131, 0.13%
26      104.9476
↘0.024, 0.02%
27      104.9070
↗0.041, 0.04%
28      104.8265
↗0.080, 0.08%
29      104.8587
↘0.032, 0.03%
30      104.8590
↘0.000, 0.00%
31      105.2020
↘0.343, 0.33%
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”),104.832,104.83],[new Date(“2016-01-02”),104.853,104.85],[new Date(“2016-01-03”),104.841,104.84],[new Date(“2016-01-04”),105.051,105.05],[new Date(“2016-01-05”),104.929,104.93],[new Date(“2016-01-06”),104.895,104.89],[new Date(“2016-01-07”),104.803,104.80],[new Date(“2016-01-08”),104.879,104.88],[new Date(“2016-01-09”),104.867,104.87],[new Date(“2016-01-10”),104.705,104.70],[new Date(“2016-01-11”),104.891,104.89],[new Date(“2016-01-12”),104.864,104.86],[new Date(“2016-01-13”),104.869,104.87],[new Date(“2016-01-14”),104.956,104.96],[new Date(“2016-01-15”),104.844,104.84],[new Date(“2016-01-16”),104.977,104.98],[new Date(“2016-01-17”),104.866,104.87],[new Date(“2016-01-18”),104.943,104.94],[new Date(“2016-01-19”),104.825,104.82],[new Date(“2016-01-20”),104.886,104.89],[new Date(“2016-01-21”),104.932,104.93],[new Date(“2016-01-22”),104.947,104.95],[new Date(“2016-01-23”),104.974,104.97],[new Date(“2016-01-24”),105.055,105.06],[new Date(“2016-01-25”),104.924,104.92],[new Date(“2016-01-26”),104.948,104.95],[new Date(“2016-01-27”),104.907,104.91],[new Date(“2016-01-28”),104.827,104.83],[new Date(“2016-01-29”),104.859,104.86],[new Date(“2016-01-30”),104.859,104.86],[new Date(“2016-01-31″),105.202,105.20],]);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);
}