Japanese Yen JPY 2016 Conversion Rates

  • Opening Value is 120.374200 JPY per Dollar
  • Closing Value is 116.949997 JPY per Dollar
  • Change in Value during 2016 is -3.4242 which is -2.84%
  • Best Performance is on 2016-08-17 with 99.900002 JPY per Dollar
  • Lowest Performance is on 2016-01-31 with 121.239300 JPY per Dollar
  • Average Value is 108.7793 JPY per Dollar
  • Swing Between the higest and the lowest is 21.3393 per Dollar, that is 17.73% compared to the opening value.

USD to JPY Conversion Rates – 12 months

Date 1 USD =
2016-12-31 116.9500 JPY
2016-11-30 114.7110 JPY
2016-10-31 104.8050 JPY
2016-09-30 101.3204 JPY
2016-08-31 103.3130 JPY
2016-07-31 102.3340 JPY
2016-06-30 103.0811 JPY
2016-05-31 110.7850 JPY
2016-04-30 106.5781 JPY
2016-03-31 112.5143 JPY
2016-02-29 112.8102 JPY
2016-01-31 121.2393 JPY
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”),116.950,116.95],[new Date(“2016-11-30”),114.711,114.71],[new Date(“2016-10-31”),104.805,104.81],[new Date(“2016-09-30”),101.320,101.32],[new Date(“2016-08-31”),103.313,103.31],[new Date(“2016-07-31”),102.334,102.33],[new Date(“2016-06-30”),103.081,103.08],[new Date(“2016-05-31”),110.785,110.79],[new Date(“2016-04-30”),106.578,106.58],[new Date(“2016-03-31”),112.514,112.51],[new Date(“2016-02-29”),112.810,112.81],[new Date(“2016-01-31”),121.239,121.24],]);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      113.9130
02      113.5030
↗0.410, 0.36%
03      113.5030
→0.000, 0.00%
04      113.5100
↘0.007, 0.01%
05      113.8830
↘0.373, 0.33%
06      114.0580
↘0.175, 0.15%
07      113.7270
↗0.331, 0.29%
08      114.0860
↘0.359, 0.32%
09      115.2740
↘1.188, 1.04%
10      115.2740
→0.000, 0.00%
11      115.4120
↘0.138, 0.12%
12      115.0030
↗0.409, 0.35%
13      115.2220
↘0.219, 0.19%
14      117.2120
↘1.990, 1.73%
15      118.2498
↘1.038, 0.89%
16      117.8400
↗0.410, 0.35%
17      117.8400
→0.000, 0.00%
18      117.7960
↗0.044, 0.04%
19      117.0340
↗0.762, 0.65%
20      117.8820
↘0.848, 0.72%
21      117.6080
↗0.274, 0.23%
22      117.5410
↗0.067, 0.06%
23      117.3204
↗0.221, 0.19%
24      117.3204
→0.000, 0.00%
25      117.3190
↗0.001, 0.00%
26      117.1930
↗0.126, 0.11%
27      117.4960
↘0.303, 0.26%
28      117.0690
↗0.427, 0.36%
29      116.2370
↗0.832, 0.71%
30      116.9500
↘0.713, 0.61%
31      116.9500
→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”),113.913,113.91],[new Date(“2016-12-02”),113.503,113.50],[new Date(“2016-12-03”),113.503,113.50],[new Date(“2016-12-04”),113.510,113.51],[new Date(“2016-12-05”),113.883,113.88],[new Date(“2016-12-06”),114.058,114.06],[new Date(“2016-12-07”),113.727,113.73],[new Date(“2016-12-08”),114.086,114.09],[new Date(“2016-12-09”),115.274,115.27],[new Date(“2016-12-10”),115.274,115.27],[new Date(“2016-12-11”),115.412,115.41],[new Date(“2016-12-12”),115.003,115.00],[new Date(“2016-12-13”),115.222,115.22],[new Date(“2016-12-14”),117.212,117.21],[new Date(“2016-12-15”),118.250,118.25],[new Date(“2016-12-16”),117.840,117.84],[new Date(“2016-12-17”),117.840,117.84],[new Date(“2016-12-18”),117.796,117.80],[new Date(“2016-12-19”),117.034,117.03],[new Date(“2016-12-20”),117.882,117.88],[new Date(“2016-12-21”),117.608,117.61],[new Date(“2016-12-22”),117.541,117.54],[new Date(“2016-12-23”),117.320,117.32],[new Date(“2016-12-24”),117.320,117.32],[new Date(“2016-12-25”),117.319,117.32],[new Date(“2016-12-26”),117.193,117.19],[new Date(“2016-12-27”),117.496,117.50],[new Date(“2016-12-28”),117.069,117.07],[new Date(“2016-12-29”),116.237,116.24],[new Date(“2016-12-30”),116.950,116.95],[new Date(“2016-12-31″),116.950,116.95],]);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      104.0830
02      103.3950
↗0.688, 0.66%
03      103.0390
↗0.356, 0.34%
04      103.0890
↘0.050, 0.05%
05      103.0890
→0.000, 0.00%
06      104.2460
↘1.157, 1.12%
07      104.4930
↘0.247, 0.24%
08      104.9990
↘0.506, 0.48%
09      105.8800
↘0.881, 0.84%
10      106.8280
↘0.948, 0.90%
11      106.6350
↗0.193, 0.18%
12      106.6350
→0.000, 0.00%
13      106.8750
↘0.240, 0.23%
14      108.1760
↘1.301, 1.22%
15      109.0480
↘0.872, 0.81%
16      108.7700
↗0.278, 0.25%
17      110.2800
↘1.510, 1.39%
18      110.8740
↘0.594, 0.54%
19      110.8740
→0.000, 0.00%
20      110.9770
↘0.103, 0.09%
21      110.5980
↗0.379, 0.34%
22      110.9820
↘0.384, 0.35%
23      112.5730
↘1.591, 1.43%
24      113.2650
↘0.692, 0.61%
25      113.2290
↗0.036, 0.03%
26      113.2290
→0.000, 0.00%
27      112.6620
↗0.567, 0.50%
28      111.6820
↗0.980, 0.87%
29      112.4620
↘0.780, 0.70%
30      114.7110
↘2.249, 2.00%
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”),104.083,104.08],[new Date(“2016-11-02”),103.395,103.39],[new Date(“2016-11-03”),103.039,103.04],[new Date(“2016-11-04”),103.089,103.09],[new Date(“2016-11-05”),103.089,103.09],[new Date(“2016-11-06”),104.246,104.25],[new Date(“2016-11-07”),104.493,104.49],[new Date(“2016-11-08”),104.999,105.00],[new Date(“2016-11-09”),105.880,105.88],[new Date(“2016-11-10”),106.828,106.83],[new Date(“2016-11-11”),106.635,106.64],[new Date(“2016-11-12”),106.635,106.64],[new Date(“2016-11-13”),106.875,106.87],[new Date(“2016-11-14”),108.176,108.18],[new Date(“2016-11-15”),109.048,109.05],[new Date(“2016-11-16”),108.770,108.77],[new Date(“2016-11-17”),110.280,110.28],[new Date(“2016-11-18”),110.874,110.87],[new Date(“2016-11-19”),110.874,110.87],[new Date(“2016-11-20”),110.977,110.98],[new Date(“2016-11-21”),110.598,110.60],[new Date(“2016-11-22”),110.982,110.98],[new Date(“2016-11-23”),112.573,112.57],[new Date(“2016-11-24”),113.265,113.26],[new Date(“2016-11-25”),113.229,113.23],[new Date(“2016-11-26”),113.229,113.23],[new Date(“2016-11-27”),112.662,112.66],[new Date(“2016-11-28”),111.682,111.68],[new Date(“2016-11-29”),112.462,112.46],[new Date(“2016-11-30″),114.711,114.71],]);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      101.3204
02      101.5410
↘0.221, 0.22%
03      101.8050
↘0.264, 0.26%
04      102.9090
↘1.104, 1.08%
05      103.5250
↘0.616, 0.60%
06      103.8000
↘0.275, 0.27%
07      102.8930
↗0.907, 0.87%
08      102.8930
→0.000, 0.00%
09      103.0270
↘0.134, 0.13%
10      103.7130
↘0.686, 0.67%
11      103.3090
↗0.404, 0.39%
12      104.3140
↘1.005, 0.97%
13      103.6940
↗0.620, 0.59%
14      104.1460
↘0.452, 0.44%
15      104.1460
→0.000, 0.00%
16      104.0670
↗0.079, 0.08%
17      103.8900
↗0.177, 0.17%
18      103.8420
↗0.048, 0.05%
19      103.3900
↗0.452, 0.44%
20      104.0610
↘0.671, 0.65%
21      103.8000
↗0.261, 0.25%
22      103.8000
→0.000, 0.00%
23      103.9080
↘0.108, 0.10%
24      104.3260
↘0.418, 0.40%
25      104.1500
↗0.176, 0.17%
26      104.5550
↘0.405, 0.39%
27      105.2020
↘0.647, 0.62%
28      104.6940
↗0.508, 0.48%
29      104.6940
→0.000, 0.00%
30      104.5640
↗0.130, 0.12%
31      104.8050
↘0.241, 0.23%
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”),101.320,101.32],[new Date(“2016-10-02”),101.541,101.54],[new Date(“2016-10-03”),101.805,101.81],[new Date(“2016-10-04”),102.909,102.91],[new Date(“2016-10-05”),103.525,103.53],[new Date(“2016-10-06”),103.800,103.80],[new Date(“2016-10-07”),102.893,102.89],[new Date(“2016-10-08”),102.893,102.89],[new Date(“2016-10-09”),103.027,103.03],[new Date(“2016-10-10”),103.713,103.71],[new Date(“2016-10-11”),103.309,103.31],[new Date(“2016-10-12”),104.314,104.31],[new Date(“2016-10-13”),103.694,103.69],[new Date(“2016-10-14”),104.146,104.15],[new Date(“2016-10-15”),104.146,104.15],[new Date(“2016-10-16”),104.067,104.07],[new Date(“2016-10-17”),103.890,103.89],[new Date(“2016-10-18”),103.842,103.84],[new Date(“2016-10-19”),103.390,103.39],[new Date(“2016-10-20”),104.061,104.06],[new Date(“2016-10-21”),103.800,103.80],[new Date(“2016-10-22”),103.800,103.80],[new Date(“2016-10-23”),103.908,103.91],[new Date(“2016-10-24”),104.326,104.33],[new Date(“2016-10-25”),104.150,104.15],[new Date(“2016-10-26”),104.555,104.56],[new Date(“2016-10-27”),105.202,105.20],[new Date(“2016-10-28”),104.694,104.69],[new Date(“2016-10-29”),104.694,104.69],[new Date(“2016-10-30”),104.564,104.56],[new Date(“2016-10-31″),104.805,104.81],]);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      103.2530
02      103.9750
↘0.722, 0.70%
03      103.9750
→0.000, 0.00%
04      103.9230
↗0.052, 0.05%
05      103.5180
↗0.405, 0.39%
06      101.5300
↗1.988, 1.92%
07      101.7860
↘0.256, 0.25%
08      102.3130
↘0.527, 0.52%
09      102.6700
↘0.357, 0.35%
10      102.6700
→0.000, 0.00%
11      102.4480
↗0.222, 0.22%
12      101.7497
↗0.698, 0.68%
13      102.4700
↘0.720, 0.71%
14      102.5380
↘0.068, 0.07%
15      101.9790
↗0.559, 0.55%
16      102.2700
↘0.291, 0.29%
17      102.2700
→0.000, 0.00%
18      102.3140
↘0.044, 0.04%
19      101.8360
↗0.478, 0.47%
20      101.5430
↗0.293, 0.29%
21      100.3940
↗1.149, 1.13%
22      100.8203
↘0.426, 0.42%
23      101.0500
↘0.230, 0.23%
24      101.0500
→0.000, 0.00%
25      100.8880
↗0.162, 0.16%
26      100.3650
↗0.523, 0.52%
27      100.4530
↘0.088, 0.09%
28      100.9530
↘0.500, 0.50%
29      101.1910
↘0.238, 0.24%
30      101.3204
↘0.129, 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(“2016-09-01”),103.253,103.25],[new Date(“2016-09-02”),103.975,103.97],[new Date(“2016-09-03”),103.975,103.97],[new Date(“2016-09-04”),103.923,103.92],[new Date(“2016-09-05”),103.518,103.52],[new Date(“2016-09-06”),101.530,101.53],[new Date(“2016-09-07”),101.786,101.79],[new Date(“2016-09-08”),102.313,102.31],[new Date(“2016-09-09”),102.670,102.67],[new Date(“2016-09-10”),102.670,102.67],[new Date(“2016-09-11”),102.448,102.45],[new Date(“2016-09-12”),101.750,101.75],[new Date(“2016-09-13”),102.470,102.47],[new Date(“2016-09-14”),102.538,102.54],[new Date(“2016-09-15”),101.979,101.98],[new Date(“2016-09-16”),102.270,102.27],[new Date(“2016-09-17”),102.270,102.27],[new Date(“2016-09-18”),102.314,102.31],[new Date(“2016-09-19”),101.836,101.84],[new Date(“2016-09-20”),101.543,101.54],[new Date(“2016-09-21”),100.394,100.39],[new Date(“2016-09-22”),100.820,100.82],[new Date(“2016-09-23”),101.050,101.05],[new Date(“2016-09-24”),101.050,101.05],[new Date(“2016-09-25”),100.888,100.89],[new Date(“2016-09-26”),100.365,100.36],[new Date(“2016-09-27”),100.453,100.45],[new Date(“2016-09-28”),100.953,100.95],[new Date(“2016-09-29”),101.191,101.19],[new Date(“2016-09-30″),101.320,101.32],]);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      102.3530
02      101.0850
↗1.268, 1.24%
03      101.3330
↘0.248, 0.25%
04      101.1960
↗0.137, 0.14%
05      101.8210
↘0.625, 0.62%
06      101.8210
→0.000, 0.00%
07      102.1410
↘0.320, 0.31%
08      102.2710
↘0.130, 0.13%
09      101.9220
↗0.349, 0.34%
10      101.1320
↗0.790, 0.78%
11      101.8110
↘0.679, 0.67%
12      101.2504
↗0.561, 0.55%
13      101.2504
→0.000, 0.00%
14      101.2850
↘0.035, 0.03%
15      101.2450
↗0.040, 0.04%
16      100.2060
↗1.039, 1.03%
17      99.9000
↗0.306, 0.31%
18      100.1180
↘0.218, 0.22%
19      100.2100
↘0.092, 0.09%
20      100.2100
→0.000, 0.00%
21      100.5590
↘0.349, 0.35%
22      100.2570
↗0.302, 0.30%
23      100.3120
↘0.055, 0.05%
24      100.5510
↘0.239, 0.24%
25      100.5550
↘0.004, 0.00%
26      101.8100
↘1.255, 1.25%
27      101.8100
→0.000, 0.00%
28      101.9110
↘0.101, 0.10%
29      101.8100
↗0.101, 0.10%
30      102.8780
↘1.068, 1.05%
31      103.3130
↘0.435, 0.42%
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”),102.353,102.35],[new Date(“2016-08-02”),101.085,101.08],[new Date(“2016-08-03”),101.333,101.33],[new Date(“2016-08-04”),101.196,101.20],[new Date(“2016-08-05”),101.821,101.82],[new Date(“2016-08-06”),101.821,101.82],[new Date(“2016-08-07”),102.141,102.14],[new Date(“2016-08-08”),102.271,102.27],[new Date(“2016-08-09”),101.922,101.92],[new Date(“2016-08-10”),101.132,101.13],[new Date(“2016-08-11”),101.811,101.81],[new Date(“2016-08-12”),101.250,101.25],[new Date(“2016-08-13”),101.250,101.25],[new Date(“2016-08-14”),101.285,101.29],[new Date(“2016-08-15”),101.245,101.25],[new Date(“2016-08-16”),100.206,100.21],[new Date(“2016-08-17”),99.900,99.90],[new Date(“2016-08-18”),100.118,100.12],[new Date(“2016-08-19”),100.210,100.21],[new Date(“2016-08-20”),100.210,100.21],[new Date(“2016-08-21”),100.559,100.56],[new Date(“2016-08-22”),100.257,100.26],[new Date(“2016-08-23”),100.312,100.31],[new Date(“2016-08-24”),100.551,100.55],[new Date(“2016-08-25”),100.555,100.55],[new Date(“2016-08-26”),101.810,101.81],[new Date(“2016-08-27”),101.810,101.81],[new Date(“2016-08-28”),101.911,101.91],[new Date(“2016-08-29”),101.810,101.81],[new Date(“2016-08-30”),102.878,102.88],[new Date(“2016-08-31″),103.313,103.31],]);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      102.5818
02      102.5597
↗0.022, 0.02%
03      102.5980
↘0.038, 0.04%
04      102.5396
↗0.058, 0.06%
05      101.8535
↗0.686, 0.67%
06      101.3372
↗0.516, 0.51%
07      100.7827
↗0.555, 0.55%
08      100.6318
↗0.151, 0.15%
09      100.5655
↗0.066, 0.07%
10      100.6904
↘0.125, 0.12%
11      102.2538
↘1.563, 1.55%
12      104.1680
↘1.914, 1.87%
13      104.1032
↗0.065, 0.06%
14      105.0215
↘0.918, 0.88%
15      104.6510
↗0.370, 0.35%
16      104.6510
→0.000, 0.00%
17      105.4660
↘0.815, 0.78%
18      106.1430
↘0.677, 0.64%
19      106.1410
↗0.002, 0.00%
20      107.1850
↘1.044, 0.98%
21      105.8240
↗1.361, 1.27%
22      106.1490
↘0.325, 0.31%
23      106.1490
→0.000, 0.00%
24      106.2940
↘0.145, 0.14%
25      105.5940
↗0.700, 0.66%
26      104.8440
↗0.750, 0.71%
27      104.9360
↘0.092, 0.09%
28      104.7450
↗0.191, 0.18%
29      102.0470
↗2.698, 2.58%
30      102.0470
→0.000, 0.00%
31      102.3340
↘0.287, 0.28%
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”),102.582,102.58],[new Date(“2016-07-02”),102.560,102.56],[new Date(“2016-07-03”),102.598,102.60],[new Date(“2016-07-04”),102.540,102.54],[new Date(“2016-07-05”),101.854,101.85],[new Date(“2016-07-06”),101.337,101.34],[new Date(“2016-07-07”),100.783,100.78],[new Date(“2016-07-08”),100.632,100.63],[new Date(“2016-07-09”),100.566,100.57],[new Date(“2016-07-10”),100.690,100.69],[new Date(“2016-07-11”),102.254,102.25],[new Date(“2016-07-12”),104.168,104.17],[new Date(“2016-07-13”),104.103,104.10],[new Date(“2016-07-14”),105.022,105.02],[new Date(“2016-07-15”),104.651,104.65],[new Date(“2016-07-16”),104.651,104.65],[new Date(“2016-07-17”),105.466,105.47],[new Date(“2016-07-18”),106.143,106.14],[new Date(“2016-07-19”),106.141,106.14],[new Date(“2016-07-20”),107.185,107.18],[new Date(“2016-07-21”),105.824,105.82],[new Date(“2016-07-22”),106.149,106.15],[new Date(“2016-07-23”),106.149,106.15],[new Date(“2016-07-24”),106.294,106.29],[new Date(“2016-07-25”),105.594,105.59],[new Date(“2016-07-26”),104.844,104.84],[new Date(“2016-07-27”),104.936,104.94],[new Date(“2016-07-28”),104.745,104.75],[new Date(“2016-07-29”),102.047,102.05],[new Date(“2016-07-30”),102.047,102.05],[new Date(“2016-07-31″),102.334,102.33],]);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      109.8413
02      109.0602
↗0.781, 0.71%
03      107.0357
↗2.024, 1.86%
04      106.8602
↗0.176, 0.16%
05      106.6742
↗0.186, 0.17%
06      107.3337
↘0.660, 0.62%
07      107.2456
↗0.088, 0.08%
08      107.0358
↗0.210, 0.20%
09      107.0032
↗0.033, 0.03%
10      106.9022
↗0.101, 0.09%
11      106.9597
↘0.058, 0.05%
12      106.8017
↗0.158, 0.15%
13      106.2527
↗0.549, 0.51%
14      106.0777
↗0.175, 0.16%
15      105.8872
↗0.191, 0.18%
16      104.7312
↗1.156, 1.09%
17      104.2546
↗0.477, 0.46%
18      104.1958
↗0.059, 0.06%
19      104.5879
↘0.392, 0.38%
20      103.9692
↗0.619, 0.59%
21      104.6510
↘0.682, 0.66%
22      104.6420
↗0.009, 0.01%
23      105.9424
↘1.300, 1.24%
24      102.8258
↗3.117, 2.94%
25      102.3939
↗0.432, 0.42%
26      102.1466
↗0.247, 0.24%
27      102.0192
↗0.127, 0.12%
28      102.4761
↘0.457, 0.45%
29      102.7387
↘0.263, 0.26%
30      103.0811
↘0.342, 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(“2016-06-01”),109.841,109.84],[new Date(“2016-06-02”),109.060,109.06],[new Date(“2016-06-03”),107.036,107.04],[new Date(“2016-06-04”),106.860,106.86],[new Date(“2016-06-05”),106.674,106.67],[new Date(“2016-06-06”),107.334,107.33],[new Date(“2016-06-07”),107.246,107.25],[new Date(“2016-06-08”),107.036,107.04],[new Date(“2016-06-09”),107.003,107.00],[new Date(“2016-06-10”),106.902,106.90],[new Date(“2016-06-11”),106.960,106.96],[new Date(“2016-06-12”),106.802,106.80],[new Date(“2016-06-13”),106.253,106.25],[new Date(“2016-06-14”),106.078,106.08],[new Date(“2016-06-15”),105.887,105.89],[new Date(“2016-06-16”),104.731,104.73],[new Date(“2016-06-17”),104.255,104.25],[new Date(“2016-06-18”),104.196,104.20],[new Date(“2016-06-19”),104.588,104.59],[new Date(“2016-06-20”),103.969,103.97],[new Date(“2016-06-21”),104.651,104.65],[new Date(“2016-06-22”),104.642,104.64],[new Date(“2016-06-23”),105.942,105.94],[new Date(“2016-06-24”),102.826,102.83],[new Date(“2016-06-25”),102.394,102.39],[new Date(“2016-06-26”),102.147,102.15],[new Date(“2016-06-27”),102.019,102.02],[new Date(“2016-06-28”),102.476,102.48],[new Date(“2016-06-29”),102.739,102.74],[new Date(“2016-06-30″),103.081,103.08],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2016

01      106.6129
02      106.4004
↗0.212, 0.20%
03      106.7501
↘0.350, 0.33%
04      106.8130
↘0.063, 0.06%
05      107.2181
↘0.405, 0.38%
06      107.1208
↗0.097, 0.09%
07      107.0912
↗0.030, 0.03%
08      107.2144
↘0.123, 0.12%
09      108.1517
↘0.937, 0.87%
10      108.9903
↘0.839, 0.78%
11      108.5531
↗0.437, 0.40%
12      108.9379
↘0.385, 0.35%
13      108.6808
↗0.257, 0.24%
14      108.6899
↘0.009, 0.01%
15      108.5718
↗0.118, 0.11%
16      108.8909
↘0.319, 0.29%
17      108.9186
↘0.028, 0.03%
18      109.5318
↘0.613, 0.56%
19      109.4101
↗0.122, 0.11%
20      110.1125
↘0.702, 0.64%
21      110.1469
↘0.034, 0.03%
22      110.1943
↘0.047, 0.04%
23      109.4231
↗0.771, 0.70%
24      109.9272
↘0.504, 0.46%
25      110.0764
↘0.149, 0.14%
26      109.7998
↗0.277, 0.25%
27      110.1965
↘0.397, 0.36%
28      110.1992
↘0.003, 0.00%
29      110.5796
↘0.380, 0.35%
30      110.8760
↘0.296, 0.27%
31      110.7850
↗0.091, 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(“2016-05-01”),106.613,106.61],[new Date(“2016-05-02”),106.400,106.40],[new Date(“2016-05-03”),106.750,106.75],[new Date(“2016-05-04”),106.813,106.81],[new Date(“2016-05-05”),107.218,107.22],[new Date(“2016-05-06”),107.121,107.12],[new Date(“2016-05-07”),107.091,107.09],[new Date(“2016-05-08”),107.214,107.21],[new Date(“2016-05-09”),108.152,108.15],[new Date(“2016-05-10”),108.990,108.99],[new Date(“2016-05-11”),108.553,108.55],[new Date(“2016-05-12”),108.938,108.94],[new Date(“2016-05-13”),108.681,108.68],[new Date(“2016-05-14”),108.690,108.69],[new Date(“2016-05-15”),108.572,108.57],[new Date(“2016-05-16”),108.891,108.89],[new Date(“2016-05-17”),108.919,108.92],[new Date(“2016-05-18”),109.532,109.53],[new Date(“2016-05-19”),109.410,109.41],[new Date(“2016-05-20”),110.113,110.11],[new Date(“2016-05-21”),110.147,110.15],[new Date(“2016-05-22”),110.194,110.19],[new Date(“2016-05-23”),109.423,109.42],[new Date(“2016-05-24”),109.927,109.93],[new Date(“2016-05-25”),110.076,110.08],[new Date(“2016-05-26”),109.800,109.80],[new Date(“2016-05-27”),110.197,110.20],[new Date(“2016-05-28”),110.199,110.20],[new Date(“2016-05-29”),110.580,110.58],[new Date(“2016-05-30”),110.876,110.88],[new Date(“2016-05-31″),110.785,110.79],]);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      111.8039
02      111.7581
↗0.046, 0.04%
03      111.7293
↗0.029, 0.03%
04      111.3916
↗0.338, 0.30%
05      110.5492
↗0.842, 0.76%
06      109.9548
↗0.594, 0.54%
07      108.6845
↗1.270, 1.16%
08      108.2221
↗0.462, 0.43%
09      108.1860
↗0.036, 0.03%
10      108.1721
↗0.014, 0.01%
11      107.9694
↗0.203, 0.19%
12      108.4939
↘0.525, 0.49%
13      109.1073
↘0.613, 0.57%
14      109.3110
↘0.204, 0.19%
15      108.8711
↗0.440, 0.40%
16      108.8444
↗0.027, 0.02%
17      108.4468
↗0.398, 0.37%
18      108.8476
↘0.401, 0.37%
19      109.0899
↘0.242, 0.22%
20      109.6290
↘0.539, 0.49%
21      109.3942
↗0.235, 0.21%
22      111.3498
↘1.956, 1.79%
23      111.5197
↘0.170, 0.15%
24      111.6286
↘0.109, 0.10%
25      111.3358
↗0.293, 0.26%
26      111.2670
↗0.069, 0.06%
27      111.4243
↘0.157, 0.14%
28      108.7711
↗2.653, 2.38%
29      106.9745
↗1.797, 1.65%
30      106.5781
↗0.396, 0.37%
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”),111.804,111.80],[new Date(“2016-04-02”),111.758,111.76],[new Date(“2016-04-03”),111.729,111.73],[new Date(“2016-04-04”),111.392,111.39],[new Date(“2016-04-05”),110.549,110.55],[new Date(“2016-04-06”),109.955,109.95],[new Date(“2016-04-07”),108.685,108.68],[new Date(“2016-04-08”),108.222,108.22],[new Date(“2016-04-09”),108.186,108.19],[new Date(“2016-04-10”),108.172,108.17],[new Date(“2016-04-11”),107.969,107.97],[new Date(“2016-04-12”),108.494,108.49],[new Date(“2016-04-13”),109.107,109.11],[new Date(“2016-04-14”),109.311,109.31],[new Date(“2016-04-15”),108.871,108.87],[new Date(“2016-04-16”),108.844,108.84],[new Date(“2016-04-17”),108.447,108.45],[new Date(“2016-04-18”),108.848,108.85],[new Date(“2016-04-19”),109.090,109.09],[new Date(“2016-04-20”),109.629,109.63],[new Date(“2016-04-21”),109.394,109.39],[new Date(“2016-04-22”),111.350,111.35],[new Date(“2016-04-23”),111.520,111.52],[new Date(“2016-04-24”),111.629,111.63],[new Date(“2016-04-25”),111.336,111.34],[new Date(“2016-04-26”),111.267,111.27],[new Date(“2016-04-27”),111.424,111.42],[new Date(“2016-04-28”),108.771,108.77],[new Date(“2016-04-29”),106.975,106.97],[new Date(“2016-04-30″),106.578,106.58],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2016

01      113.8826
02      113.4421
↗0.441, 0.39%
03      113.7665
↘0.324, 0.29%
04      113.7734
↘0.007, 0.01%
05      113.7694
↗0.004, 0.00%
06      113.8423
↘0.073, 0.06%
07      113.4696
↗0.373, 0.33%
08      112.8507
↗0.619, 0.55%
09      113.2517
↘0.401, 0.36%
10      113.0998
↗0.152, 0.13%
11      113.7931
↘0.693, 0.61%
12      113.8033
↘0.010, 0.01%
13      113.7738
↗0.029, 0.03%
14      113.8114
↘0.038, 0.03%
15      113.2941
↗0.517, 0.45%
16      112.8773
↗0.417, 0.37%
17      111.8027
↗1.075, 0.95%
18      111.6228
↗0.180, 0.16%
19      111.5160
↗0.107, 0.10%
20      111.4716
↗0.044, 0.04%
21      111.9246
↘0.453, 0.41%
22      112.1711
↘0.246, 0.22%
23      112.3034
↘0.132, 0.12%
24      112.7332
↘0.430, 0.38%
25      113.0085
↘0.275, 0.24%
26      113.0833
↘0.075, 0.07%
27      113.2948
↘0.212, 0.19%
28      113.3736
↘0.079, 0.07%
29      112.8995
↗0.474, 0.42%
30      112.6522
↗0.247, 0.22%
31      112.5143
↗0.138, 0.12%
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”),113.883,113.88],[new Date(“2016-03-02”),113.442,113.44],[new Date(“2016-03-03”),113.766,113.77],[new Date(“2016-03-04”),113.773,113.77],[new Date(“2016-03-05”),113.769,113.77],[new Date(“2016-03-06”),113.842,113.84],[new Date(“2016-03-07”),113.470,113.47],[new Date(“2016-03-08”),112.851,112.85],[new Date(“2016-03-09”),113.252,113.25],[new Date(“2016-03-10”),113.100,113.10],[new Date(“2016-03-11”),113.793,113.79],[new Date(“2016-03-12”),113.803,113.80],[new Date(“2016-03-13”),113.774,113.77],[new Date(“2016-03-14”),113.811,113.81],[new Date(“2016-03-15”),113.294,113.29],[new Date(“2016-03-16”),112.877,112.88],[new Date(“2016-03-17”),111.803,111.80],[new Date(“2016-03-18”),111.623,111.62],[new Date(“2016-03-19”),111.516,111.52],[new Date(“2016-03-20”),111.472,111.47],[new Date(“2016-03-21”),111.925,111.92],[new Date(“2016-03-22”),112.171,112.17],[new Date(“2016-03-23”),112.303,112.30],[new Date(“2016-03-24”),112.733,112.73],[new Date(“2016-03-25”),113.008,113.01],[new Date(“2016-03-26”),113.083,113.08],[new Date(“2016-03-27”),113.295,113.29],[new Date(“2016-03-28”),113.374,113.37],[new Date(“2016-03-29”),112.900,112.90],[new Date(“2016-03-30”),112.652,112.65],[new Date(“2016-03-31″),112.514,112.51],]);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      121.0339
02      120.0828
↗0.951, 0.79%
03      118.5587
↗1.524, 1.27%
04      117.3245
↗1.234, 1.04%
05      116.9879
↗0.337, 0.29%
06      116.8519
↗0.136, 0.12%
07      116.9387
↘0.087, 0.07%
08      115.8644
↗1.074, 0.92%
09      115.4185
↗0.446, 0.38%
10      113.8119
↗1.607, 1.39%
11      112.9048
↗0.907, 0.80%
12      113.0740
↘0.169, 0.15%
13      113.1228
↘0.049, 0.04%
14      113.3911
↘0.268, 0.24%
15      114.2718
↘0.881, 0.78%
16      114.1122
↗0.160, 0.14%
17      114.1262
↘0.014, 0.01%
18      113.4237
↗0.702, 0.62%
19      112.8327
↗0.591, 0.52%
20      112.6707
↗0.162, 0.14%
21      112.6065
↗0.064, 0.06%
22      112.8770
↘0.270, 0.24%
23      112.2268
↗0.650, 0.58%
24      112.1594
↗0.067, 0.06%
25      112.7088
↘0.549, 0.49%
26      113.6765
↘0.968, 0.86%
27      113.8295
↘0.153, 0.13%
28      113.8441
↘0.015, 0.01%
29      112.8102
↗1.034, 0.91%
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”),121.034,121.03],[new Date(“2016-02-02”),120.083,120.08],[new Date(“2016-02-03”),118.559,118.56],[new Date(“2016-02-04”),117.325,117.32],[new Date(“2016-02-05”),116.988,116.99],[new Date(“2016-02-06”),116.852,116.85],[new Date(“2016-02-07”),116.939,116.94],[new Date(“2016-02-08”),115.864,115.86],[new Date(“2016-02-09”),115.419,115.42],[new Date(“2016-02-10”),113.812,113.81],[new Date(“2016-02-11”),112.905,112.90],[new Date(“2016-02-12”),113.074,113.07],[new Date(“2016-02-13”),113.123,113.12],[new Date(“2016-02-14”),113.391,113.39],[new Date(“2016-02-15”),114.272,114.27],[new Date(“2016-02-16”),114.112,114.11],[new Date(“2016-02-17”),114.126,114.13],[new Date(“2016-02-18”),113.424,113.42],[new Date(“2016-02-19”),112.833,112.83],[new Date(“2016-02-20”),112.671,112.67],[new Date(“2016-02-21”),112.607,112.61],[new Date(“2016-02-22”),112.877,112.88],[new Date(“2016-02-23”),112.227,112.23],[new Date(“2016-02-24”),112.159,112.16],[new Date(“2016-02-25”),112.709,112.71],[new Date(“2016-02-26”),113.677,113.68],[new Date(“2016-02-27”),113.830,113.83],[new Date(“2016-02-28”),113.844,113.84],[new Date(“2016-02-29″),112.810,112.81],]);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      120.3742
02      120.4983
↘0.124, 0.10%
03      120.2663
↗0.232, 0.19%
04      119.5153
↗0.751, 0.62%
05      119.1529
↗0.362, 0.30%
06      118.6248
↗0.528, 0.44%
07      117.8455
↗0.779, 0.66%
08      117.4376
↗0.408, 0.35%
09      117.4530
↘0.015, 0.01%
10      116.8769
↗0.576, 0.49%
11      117.6596
↘0.783, 0.67%
12      117.6426
↗0.017, 0.01%
13      117.6693
↘0.027, 0.02%
14      118.1295
↘0.460, 0.39%
15      117.1430
↗0.986, 0.84%
16      117.0862
↗0.057, 0.05%
17      116.8787
↗0.208, 0.18%
18      117.2976
↘0.419, 0.36%
19      117.5490
↘0.251, 0.21%
20      117.0961
↗0.453, 0.39%
21      117.6205
↘0.524, 0.45%
22      118.3819
↘0.761, 0.65%
23      118.6333
↘0.251, 0.21%
24      118.7572
↘0.124, 0.10%
25      118.4240
↗0.333, 0.28%
26      118.4549
↘0.031, 0.03%
27      118.5440
↘0.089, 0.08%
28      118.7306
↘0.187, 0.16%
29      120.6494
↘1.919, 1.62%
30      120.9651
↘0.316, 0.26%
31      121.2393
↘0.274, 0.23%
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”),120.374,120.37],[new Date(“2016-01-02”),120.498,120.50],[new Date(“2016-01-03”),120.266,120.27],[new Date(“2016-01-04”),119.515,119.52],[new Date(“2016-01-05”),119.153,119.15],[new Date(“2016-01-06”),118.625,118.62],[new Date(“2016-01-07”),117.846,117.85],[new Date(“2016-01-08”),117.438,117.44],[new Date(“2016-01-09”),117.453,117.45],[new Date(“2016-01-10”),116.877,116.88],[new Date(“2016-01-11”),117.660,117.66],[new Date(“2016-01-12”),117.643,117.64],[new Date(“2016-01-13”),117.669,117.67],[new Date(“2016-01-14”),118.130,118.13],[new Date(“2016-01-15”),117.143,117.14],[new Date(“2016-01-16”),117.086,117.09],[new Date(“2016-01-17”),116.879,116.88],[new Date(“2016-01-18”),117.298,117.30],[new Date(“2016-01-19”),117.549,117.55],[new Date(“2016-01-20”),117.096,117.10],[new Date(“2016-01-21”),117.620,117.62],[new Date(“2016-01-22”),118.382,118.38],[new Date(“2016-01-23”),118.633,118.63],[new Date(“2016-01-24”),118.757,118.76],[new Date(“2016-01-25”),118.424,118.42],[new Date(“2016-01-26”),118.455,118.45],[new Date(“2016-01-27”),118.544,118.54],[new Date(“2016-01-28”),118.731,118.73],[new Date(“2016-01-29”),120.649,120.65],[new Date(“2016-01-30”),120.965,120.97],[new Date(“2016-01-31″),121.239,121.24],]);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);
}