Japanese Yen JPY 2018 Conversion Rates

  • Opening Value is 112.779999 JPY per Dollar
  • Closing Value is 109.635035 JPY per Dollar
  • Change in Value during 2018 is -3.1450 which is -2.79%
  • Best Performance is on 2018-03-23,2018-03-24 with 104.728996 JPY per Dollar
  • Lowest Performance is on 2018-10-03 with 114.488501 JPY per Dollar
  • Average Value is 110.4102 JPY per Dollar
  • Swing Between the higest and the lowest is 9.7595 per Dollar, that is 8.65% compared to the opening value.

USD to JPY Conversion Rates – 12 months

Date 1 USD =
2018-12-31 109.6350 JPY
2018-11-30 113.5080 JPY
2018-10-31 112.8549 JPY
2018-09-30 113.7990 JPY
2018-08-31 111.0404 JPY
2018-07-31 111.8110 JPY
2018-06-30 110.6700 JPY
2018-05-31 108.7530 JPY
2018-04-30 109.3140 JPY
2018-03-31 106.2480 JPY
2018-02-28 106.6350 JPY
2018-01-31 109.2060 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(“2018-12-31”),109.635,109.64],[new Date(“2018-11-30”),113.508,113.51],[new Date(“2018-10-31”),112.855,112.85],[new Date(“2018-09-30”),113.799,113.80],[new Date(“2018-08-31”),111.040,111.04],[new Date(“2018-07-31”),111.811,111.81],[new Date(“2018-06-30”),110.670,110.67],[new Date(“2018-05-31”),108.753,108.75],[new Date(“2018-04-30”),109.314,109.31],[new Date(“2018-03-31”),106.248,106.25],[new Date(“2018-02-28”),106.635,106.64],[new Date(“2018-01-31”),109.206,109.21],]);var options = {
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‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2018

01      113.4650
02      113.7681
↘0.303, 0.27%
03      113.5915
↗0.177, 0.16%
04      112.7015
↗0.890, 0.78%
05      113.0565
↘0.355, 0.31%
06      112.6925
↗0.364, 0.32%
07      112.7330
↘0.041, 0.04%
08      112.7330
→0.000, 0.00%
09      112.5065
↗0.227, 0.20%
10      113.1860
↘0.680, 0.60%
11      113.3875
↘0.201, 0.18%
12      113.2875
↗0.100, 0.09%
13      113.5645
↘0.277, 0.24%
14      113.4360
↗0.128, 0.11%
15      113.4360
→0.000, 0.00%
16      113.3950
↗0.041, 0.04%
17      112.8335
↗0.562, 0.50%
18      112.5265
↗0.307, 0.27%
19      112.4125
↗0.114, 0.10%
20      111.1760
↗1.237, 1.10%
21      111.2350
↘0.059, 0.05%
22      111.0720
↗0.163, 0.15%
23      111.0575
↗0.015, 0.01%
24      110.3160
↗0.741, 0.67%
25      110.4075
↘0.092, 0.08%
26      111.2110
↘0.804, 0.73%
27      110.8590
↗0.352, 0.32%
28      110.2750
↗0.584, 0.53%
29      110.2750
→0.000, 0.00%
30      110.3355
↘0.060, 0.05%
31      109.6350
↗0.700, 0.63%
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(“2018-12-01”),113.465,113.47],[new Date(“2018-12-02”),113.768,113.77],[new Date(“2018-12-03”),113.592,113.59],[new Date(“2018-12-04”),112.701,112.70],[new Date(“2018-12-05”),113.057,113.06],[new Date(“2018-12-06”),112.693,112.69],[new Date(“2018-12-07”),112.733,112.73],[new Date(“2018-12-08”),112.733,112.73],[new Date(“2018-12-09”),112.507,112.51],[new Date(“2018-12-10”),113.186,113.19],[new Date(“2018-12-11”),113.388,113.39],[new Date(“2018-12-12”),113.288,113.29],[new Date(“2018-12-13”),113.564,113.56],[new Date(“2018-12-14”),113.436,113.44],[new Date(“2018-12-15”),113.436,113.44],[new Date(“2018-12-16”),113.395,113.40],[new Date(“2018-12-17”),112.834,112.83],[new Date(“2018-12-18”),112.527,112.53],[new Date(“2018-12-19”),112.412,112.41],[new Date(“2018-12-20”),111.176,111.18],[new Date(“2018-12-21”),111.235,111.24],[new Date(“2018-12-22”),111.072,111.07],[new Date(“2018-12-23”),111.058,111.06],[new Date(“2018-12-24”),110.316,110.32],[new Date(“2018-12-25”),110.408,110.41],[new Date(“2018-12-26”),111.211,111.21],[new Date(“2018-12-27”),110.859,110.86],[new Date(“2018-12-28”),110.275,110.28],[new Date(“2018-12-29”),110.275,110.28],[new Date(“2018-12-30”),110.336,110.34],[new Date(“2018-12-31″),109.635,109.64],]);var options = {
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title: ‘Date’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2018

01      112.7185
02      113.2050
↘0.487, 0.43%
03      113.2050
→0.000, 0.00%
04      113.1440
↗0.061, 0.05%
05      113.2495
↘0.106, 0.09%
06      113.3655
↘0.116, 0.10%
07      113.5520
↘0.187, 0.16%
08      113.9565
↘0.404, 0.36%
09      113.8304
↗0.126, 0.11%
10      113.8304
→0.000, 0.00%
11      113.8495
↘0.019, 0.02%
12      113.7005
↗0.149, 0.13%
13      113.7940
↘0.094, 0.08%
14      113.5680
↗0.226, 0.20%
15      113.5600
↗0.008, 0.01%
16      112.8350
↗0.725, 0.64%
17      112.8250
↗0.010, 0.01%
18      112.7335
↗0.092, 0.08%
19      112.4480
↗0.285, 0.25%
20      112.7065
↘0.258, 0.23%
21      113.0260
↘0.320, 0.28%
22      112.9830
↗0.043, 0.04%
23      112.9504
↗0.033, 0.03%
24      112.9750
↘0.025, 0.02%
25      112.9225
↗0.053, 0.05%
26      113.5075
↘0.585, 0.52%
27      113.7705
↘0.263, 0.23%
28      113.5625
↗0.208, 0.18%
29      113.4145
↗0.148, 0.13%
30      113.5080
↘0.094, 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”);
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2018

01      113.9490
02      113.5805
↗0.369, 0.32%
03      114.4885
↘0.908, 0.80%
04      113.8965
↗0.592, 0.52%
05      113.7250
↗0.171, 0.15%
06      113.7050
↗0.020, 0.02%
07      113.7180
↘0.013, 0.01%
08      113.1027
↗0.615, 0.54%
09      113.0005
↗0.102, 0.09%
10      112.0970
↗0.903, 0.80%
11      112.0825
↗0.015, 0.01%
12      112.2130
↘0.131, 0.12%
13      112.2130
→0.000, 0.00%
14      112.1951
↗0.018, 0.02%
15      111.8435
↗0.352, 0.31%
16      112.3455
↘0.502, 0.45%
17      112.6330
↘0.288, 0.26%
18      112.1885
↗0.445, 0.39%
19      112.5504
↘0.362, 0.32%
20      112.5504
→0.000, 0.00%
21      112.4850
↗0.065, 0.06%
22      112.7610
↘0.276, 0.25%
23      112.4540
↗0.307, 0.27%
24      112.0145
↗0.440, 0.39%
25      112.3540
↘0.340, 0.30%
26      111.8970
↗0.457, 0.41%
27      111.8970
→0.000, 0.00%
28      111.9115
↘0.014, 0.01%
29      112.3290
↘0.418, 0.37%
30      113.0570
↘0.728, 0.65%
31      112.8549
↗0.202, 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(“2018-10-01”),113.949,113.95],[new Date(“2018-10-02”),113.581,113.58],[new Date(“2018-10-03”),114.489,114.49],[new Date(“2018-10-04”),113.897,113.90],[new Date(“2018-10-05”),113.725,113.73],[new Date(“2018-10-06”),113.705,113.71],[new Date(“2018-10-07”),113.718,113.72],[new Date(“2018-10-08”),113.103,113.10],[new Date(“2018-10-09”),113.001,113.00],[new Date(“2018-10-10”),112.097,112.10],[new Date(“2018-10-11”),112.082,112.08],[new Date(“2018-10-12”),112.213,112.21],[new Date(“2018-10-13”),112.213,112.21],[new Date(“2018-10-14”),112.195,112.20],[new Date(“2018-10-15”),111.844,111.84],[new Date(“2018-10-16”),112.346,112.35],[new Date(“2018-10-17”),112.633,112.63],[new Date(“2018-10-18”),112.188,112.19],[new Date(“2018-10-19”),112.550,112.55],[new Date(“2018-10-20”),112.550,112.55],[new Date(“2018-10-21”),112.485,112.48],[new Date(“2018-10-22”),112.761,112.76],[new Date(“2018-10-23”),112.454,112.45],[new Date(“2018-10-24”),112.015,112.01],[new Date(“2018-10-25”),112.354,112.35],[new Date(“2018-10-26”),111.897,111.90],[new Date(“2018-10-27”),111.897,111.90],[new Date(“2018-10-28”),111.912,111.91],[new Date(“2018-10-29”),112.329,112.33],[new Date(“2018-10-30”),113.057,113.06],[new Date(“2018-10-31″),112.855,112.85],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}

September, 2018

01      111.0404
02      111.1471
↘0.107, 0.10%
03      111.0905
↗0.057, 0.05%
04      111.4635
↘0.373, 0.34%
05      111.4515
↗0.012, 0.01%
06      110.4975
↗0.954, 0.86%
07      111.0050
↘0.508, 0.46%
08      111.0050
→0.000, 0.00%
09      110.9230
↗0.082, 0.07%
10      111.1515
↘0.228, 0.21%
11      111.6095
↘0.458, 0.41%
12      111.2230
↗0.387, 0.35%
13      112.0155
↘0.793, 0.71%
14      112.0550
↘0.040, 0.04%
15      112.0550
→0.000, 0.00%
16      111.9580
↗0.097, 0.09%
17      111.6950
↗0.263, 0.23%
18      112.2805
↘0.586, 0.52%
19      112.3205
↘0.040, 0.04%
20      112.4975
↘0.177, 0.16%
21      112.5650
↘0.068, 0.06%
22      112.5650
→0.000, 0.00%
23      112.5290
↗0.036, 0.03%
24      112.7885
↘0.260, 0.23%
25      112.9740
↘0.185, 0.16%
26      112.7070
↗0.267, 0.24%
27      113.3601
↘0.653, 0.58%
28      113.6880
↘0.328, 0.29%
29      113.6880
→0.000, 0.00%
30      113.7990
↘0.111, 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(“2018-09-01”),111.040,111.04],[new Date(“2018-09-02”),111.147,111.15],[new Date(“2018-09-03”),111.091,111.09],[new Date(“2018-09-04”),111.463,111.46],[new Date(“2018-09-05”),111.452,111.45],[new Date(“2018-09-06”),110.498,110.50],[new Date(“2018-09-07”),111.005,111.01],[new Date(“2018-09-08”),111.005,111.01],[new Date(“2018-09-09”),110.923,110.92],[new Date(“2018-09-10”),111.151,111.15],[new Date(“2018-09-11”),111.609,111.61],[new Date(“2018-09-12”),111.223,111.22],[new Date(“2018-09-13”),112.016,112.02],[new Date(“2018-09-14”),112.055,112.06],[new Date(“2018-09-15”),112.055,112.06],[new Date(“2018-09-16”),111.958,111.96],[new Date(“2018-09-17”),111.695,111.69],[new Date(“2018-09-18”),112.281,112.28],[new Date(“2018-09-19”),112.321,112.32],[new Date(“2018-09-20”),112.497,112.50],[new Date(“2018-09-21”),112.565,112.57],[new Date(“2018-09-22”),112.565,112.57],[new Date(“2018-09-23”),112.529,112.53],[new Date(“2018-09-24”),112.789,112.79],[new Date(“2018-09-25”),112.974,112.97],[new Date(“2018-09-26”),112.707,112.71],[new Date(“2018-09-27”),113.360,113.36],[new Date(“2018-09-28”),113.688,113.69],[new Date(“2018-09-29”),113.688,113.69],[new Date(“2018-09-30″),113.799,113.80],]);var options = {
hAxis: {
title: ‘Date’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
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August, 2018

01      111.6225
02      111.6925
↘0.070, 0.06%
03      111.2650
↗0.427, 0.38%
04      111.2650
→0.000, 0.00%
05      111.2365
↗0.029, 0.03%
06      111.3375
↘0.101, 0.09%
07      111.3440
↘0.007, 0.01%
08      110.9040
↗0.440, 0.40%
09      111.0875
↘0.183, 0.17%
10      110.8750
↗0.212, 0.19%
11      110.8750
→0.000, 0.00%
12      110.6475
↗0.228, 0.21%
13      110.6765
↘0.029, 0.03%
14      111.2565
↘0.580, 0.52%
15      110.6345
↗0.622, 0.56%
16      111.0010
↘0.367, 0.33%
17      110.5050
↗0.496, 0.45%
18      110.5050
→0.000, 0.00%
19      110.4830
↗0.022, 0.02%
20      109.9860
↗0.497, 0.45%
21      110.1655
↘0.179, 0.16%
22      110.6131
↘0.448, 0.41%
23      111.3955
↘0.782, 0.71%
24      111.2350
↗0.160, 0.14%
25      111.2350
→0.000, 0.00%
26      111.2855
↘0.050, 0.05%
27      111.1405
↗0.145, 0.13%
28      111.1650
↘0.025, 0.02%
29      111.7145
↘0.549, 0.49%
30      111.0040
↗0.710, 0.64%
31      111.0404
↘0.036, 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”);
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2018

01      110.7130
02      110.8700
↘0.157, 0.14%
03      110.4420
↗0.428, 0.39%
04      110.4900
↘0.048, 0.04%
05      110.5620
↘0.072, 0.07%
06      110.4640
↗0.098, 0.09%
07      110.4640
→0.000, 0.00%
08      110.4250
↗0.039, 0.04%
09      110.9590
↘0.534, 0.48%
10      110.8440
↗0.115, 0.10%
11      111.9560
↘1.112, 1.00%
12      112.6600
↘0.704, 0.63%
13      112.3300
↗0.330, 0.29%
14      112.3300
→0.000, 0.00%
15      112.4000
↘0.070, 0.06%
16      112.3850
↗0.015, 0.01%
17      113.0000
↘0.615, 0.55%
18      112.8100
↗0.190, 0.17%
19      112.3500
↗0.460, 0.41%
20      111.4160
↗0.934, 0.83%
21      111.4160
→0.000, 0.00%
22      111.4161
↘0.000, 0.00%
23      111.4640
↘0.048, 0.04%
24      111.2350
↗0.229, 0.21%
25      110.8600
↗0.375, 0.34%
26      111.1480
↘0.288, 0.26%
27      111.0210
↗0.127, 0.11%
28      111.0210
→0.000, 0.00%
29      110.9375
↗0.084, 0.08%
30      110.9965
↘0.059, 0.05%
31      111.8110
↘0.815, 0.73%
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(“2018-07-01”),110.713,110.71],[new Date(“2018-07-02”),110.870,110.87],[new Date(“2018-07-03”),110.442,110.44],[new Date(“2018-07-04”),110.490,110.49],[new Date(“2018-07-05”),110.562,110.56],[new Date(“2018-07-06”),110.464,110.46],[new Date(“2018-07-07”),110.464,110.46],[new Date(“2018-07-08”),110.425,110.43],[new Date(“2018-07-09”),110.959,110.96],[new Date(“2018-07-10”),110.844,110.84],[new Date(“2018-07-11”),111.956,111.96],[new Date(“2018-07-12”),112.660,112.66],[new Date(“2018-07-13”),112.330,112.33],[new Date(“2018-07-14”),112.330,112.33],[new Date(“2018-07-15”),112.400,112.40],[new Date(“2018-07-16”),112.385,112.39],[new Date(“2018-07-17”),113.000,113.00],[new Date(“2018-07-18”),112.810,112.81],[new Date(“2018-07-19”),112.350,112.35],[new Date(“2018-07-20”),111.416,111.42],[new Date(“2018-07-21”),111.416,111.42],[new Date(“2018-07-22”),111.416,111.42],[new Date(“2018-07-23”),111.464,111.46],[new Date(“2018-07-24”),111.235,111.24],[new Date(“2018-07-25”),110.860,110.86],[new Date(“2018-07-26”),111.148,111.15],[new Date(“2018-07-27”),111.021,111.02],[new Date(“2018-07-28”),111.021,111.02],[new Date(“2018-07-29”),110.938,110.94],[new Date(“2018-07-30”),110.997,111.00],[new Date(“2018-07-31″),111.811,111.81],]);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_7’));
chart.draw(data, options);
}

June, 2018

01      109.5180
02      109.5180
→0.000, 0.00%
03      109.6010
↘0.083, 0.08%
04      109.9600
↘0.359, 0.33%
05      109.8770
↗0.083, 0.08%
06      110.1370
↘0.260, 0.24%
07      109.7040
↗0.433, 0.39%
08      109.5150
↗0.189, 0.17%
09      109.5150
→0.000, 0.00%
10      109.4550
↗0.060, 0.05%
11      110.3820
↘0.927, 0.85%
12      110.4520
↘0.070, 0.06%
13      110.2470
↗0.205, 0.19%
14      110.6420
↘0.395, 0.36%
15      110.6350
↗0.007, 0.01%
16      110.6350
→0.000, 0.00%
17      110.6270
↗0.008, 0.01%
18      110.1220
↗0.505, 0.46%
19      110.0740
↗0.048, 0.04%
20      110.3590
↘0.285, 0.26%
21      109.9620
↗0.397, 0.36%
22      109.8550
↗0.107, 0.10%
23      109.8550
→0.000, 0.00%
24      109.9220
↘0.067, 0.06%
25      109.6420
↗0.280, 0.25%
26      110.1120
↘0.470, 0.43%
27      110.2220
↘0.110, 0.10%
28      110.4890
↘0.267, 0.24%
29      110.6700
↘0.181, 0.16%
30      110.6700
→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(“2018-06-01”),109.518,109.52],[new Date(“2018-06-02”),109.518,109.52],[new Date(“2018-06-03”),109.601,109.60],[new Date(“2018-06-04”),109.960,109.96],[new Date(“2018-06-05”),109.877,109.88],[new Date(“2018-06-06”),110.137,110.14],[new Date(“2018-06-07”),109.704,109.70],[new Date(“2018-06-08”),109.515,109.51],[new Date(“2018-06-09”),109.515,109.51],[new Date(“2018-06-10”),109.455,109.46],[new Date(“2018-06-11”),110.382,110.38],[new Date(“2018-06-12”),110.452,110.45],[new Date(“2018-06-13”),110.247,110.25],[new Date(“2018-06-14”),110.642,110.64],[new Date(“2018-06-15”),110.635,110.64],[new Date(“2018-06-16”),110.635,110.64],[new Date(“2018-06-17”),110.627,110.63],[new Date(“2018-06-18”),110.122,110.12],[new Date(“2018-06-19”),110.074,110.07],[new Date(“2018-06-20”),110.359,110.36],[new Date(“2018-06-21”),109.962,109.96],[new Date(“2018-06-22”),109.855,109.86],[new Date(“2018-06-23”),109.855,109.86],[new Date(“2018-06-24”),109.922,109.92],[new Date(“2018-06-25”),109.642,109.64],[new Date(“2018-06-26”),110.112,110.11],[new Date(“2018-06-27”),110.222,110.22],[new Date(“2018-06-28”),110.489,110.49],[new Date(“2018-06-29”),110.670,110.67],[new Date(“2018-06-30″),110.670,110.67],]);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, 2018

01      109.8600
02      109.8250
↗0.035, 0.03%
03      109.1000
↗0.725, 0.66%
04      109.1010
↘0.001, 0.00%
05      109.1010
→0.000, 0.00%
06      109.1730
↘0.072, 0.07%
07      108.9390
↗0.234, 0.21%
08      109.0250
↘0.086, 0.08%
09      109.8530
↘0.828, 0.76%
10      109.4480
↗0.405, 0.37%
11      109.3800
↗0.068, 0.06%
12      109.3800
→0.000, 0.00%
13      109.3500
↗0.030, 0.03%
14      109.7130
↘0.363, 0.33%
15      110.2990
↘0.586, 0.53%
16      110.3680
↘0.069, 0.06%
17      110.8330
↘0.465, 0.42%
18      110.7760
↗0.057, 0.05%
19      110.7760
→0.000, 0.00%
20      110.8790
↘0.103, 0.09%
21      110.9800
↘0.101, 0.09%
22      110.7290
↗0.251, 0.23%
23      109.8870
↗0.842, 0.76%
24      109.3170
↗0.570, 0.52%
25      109.4250
↘0.108, 0.10%
26      109.4250
→0.000, 0.00%
27      109.5900
↘0.165, 0.15%
28      109.3980
↗0.192, 0.18%
29      108.3930
↗1.005, 0.92%
30      108.7110
↘0.318, 0.29%
31      108.7530
↘0.042, 0.04%
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(“2018-05-01”),109.860,109.86],[new Date(“2018-05-02”),109.825,109.82],[new Date(“2018-05-03”),109.100,109.10],[new Date(“2018-05-04”),109.101,109.10],[new Date(“2018-05-05”),109.101,109.10],[new Date(“2018-05-06”),109.173,109.17],[new Date(“2018-05-07”),108.939,108.94],[new Date(“2018-05-08”),109.025,109.03],[new Date(“2018-05-09”),109.853,109.85],[new Date(“2018-05-10”),109.448,109.45],[new Date(“2018-05-11”),109.380,109.38],[new Date(“2018-05-12”),109.380,109.38],[new Date(“2018-05-13”),109.350,109.35],[new Date(“2018-05-14”),109.713,109.71],[new Date(“2018-05-15”),110.299,110.30],[new Date(“2018-05-16”),110.368,110.37],[new Date(“2018-05-17”),110.833,110.83],[new Date(“2018-05-18”),110.776,110.78],[new Date(“2018-05-19”),110.776,110.78],[new Date(“2018-05-20”),110.879,110.88],[new Date(“2018-05-21”),110.980,110.98],[new Date(“2018-05-22”),110.729,110.73],[new Date(“2018-05-23”),109.887,109.89],[new Date(“2018-05-24”),109.317,109.32],[new Date(“2018-05-25”),109.425,109.43],[new Date(“2018-05-26”),109.425,109.43],[new Date(“2018-05-27”),109.590,109.59],[new Date(“2018-05-28”),109.398,109.40],[new Date(“2018-05-29”),108.393,108.39],[new Date(“2018-05-30”),108.711,108.71],[new Date(“2018-05-31″),108.753,108.75],]);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, 2018

01      106.3120
02      105.8040
↗0.508, 0.48%
03      106.4340
↘0.630, 0.60%
04      106.7790
↘0.345, 0.32%
05      107.0720
↘0.293, 0.27%
06      106.8920
↗0.180, 0.17%
07      106.8920
→0.000, 0.00%
08      106.9670
↘0.075, 0.07%
09      106.7490
↗0.218, 0.20%
10      107.1220
↘0.373, 0.35%
11      106.8340
↗0.288, 0.27%
12      107.2000
↘0.366, 0.34%
13      107.3204
↘0.120, 0.11%
14      107.3204
→0.000, 0.00%
15      107.5030
↘0.183, 0.17%
16      107.0470
↗0.456, 0.42%
17      107.0130
↗0.034, 0.03%
18      107.3390
↘0.326, 0.30%
19      107.4400
↘0.101, 0.09%
20      107.6470
↘0.207, 0.19%
21      107.6470
→0.000, 0.00%
22      107.8780
↘0.231, 0.21%
23      108.7700
↘0.892, 0.83%
24      108.8000
↘0.030, 0.03%
25      109.3600
↘0.560, 0.51%
26      109.3090
↗0.051, 0.05%
27      109.0330
↗0.276, 0.25%
28      109.0330
→0.000, 0.00%
29      109.1130
↘0.080, 0.07%
30      109.3140
↘0.201, 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(“2018-04-01”),106.312,106.31],[new Date(“2018-04-02”),105.804,105.80],[new Date(“2018-04-03”),106.434,106.43],[new Date(“2018-04-04”),106.779,106.78],[new Date(“2018-04-05”),107.072,107.07],[new Date(“2018-04-06”),106.892,106.89],[new Date(“2018-04-07”),106.892,106.89],[new Date(“2018-04-08”),106.967,106.97],[new Date(“2018-04-09”),106.749,106.75],[new Date(“2018-04-10”),107.122,107.12],[new Date(“2018-04-11”),106.834,106.83],[new Date(“2018-04-12”),107.200,107.20],[new Date(“2018-04-13”),107.320,107.32],[new Date(“2018-04-14”),107.320,107.32],[new Date(“2018-04-15”),107.503,107.50],[new Date(“2018-04-16”),107.047,107.05],[new Date(“2018-04-17”),107.013,107.01],[new Date(“2018-04-18”),107.339,107.34],[new Date(“2018-04-19”),107.440,107.44],[new Date(“2018-04-20”),107.647,107.65],[new Date(“2018-04-21”),107.647,107.65],[new Date(“2018-04-22”),107.878,107.88],[new Date(“2018-04-23”),108.770,108.77],[new Date(“2018-04-24”),108.800,108.80],[new Date(“2018-04-25”),109.360,109.36],[new Date(“2018-04-26”),109.309,109.31],[new Date(“2018-04-27”),109.033,109.03],[new Date(“2018-04-28”),109.033,109.03],[new Date(“2018-04-29”),109.113,109.11],[new Date(“2018-04-30″),109.314,109.31],]);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_4’));
chart.draw(data, options);
}

March, 2018

01      106.1760
02      105.7160
↗0.460, 0.43%
03      105.7160
→0.000, 0.00%
04      105.5570
↗0.159, 0.15%
05      106.2480
↘0.691, 0.65%
06      105.5350
↗0.713, 0.67%
07      106.1810
↘0.646, 0.61%
08      106.4100
↘0.229, 0.22%
09      106.7700
↘0.360, 0.34%
10      106.7700
→0.000, 0.00%
11      106.8820
↘0.112, 0.10%
12      106.2800
↗0.602, 0.56%
13      106.4920
↘0.212, 0.20%
14      106.1570
↗0.335, 0.31%
15      106.3140
↘0.157, 0.15%
16      105.9760
↗0.338, 0.32%
17      105.9760
→0.000, 0.00%
18      105.9640
↗0.012, 0.01%
19      106.0020
↘0.038, 0.04%
20      106.4600
↘0.458, 0.43%
21      105.9390
↗0.521, 0.49%
22      104.9730
↗0.966, 0.91%
23      104.7290
↗0.244, 0.23%
24      104.7290
→0.000, 0.00%
25      104.8420
↘0.113, 0.11%
26      105.5050
↘0.663, 0.63%
27      105.4730
↗0.032, 0.03%
28      106.8100
↘1.337, 1.27%
29      106.4770
↗0.333, 0.31%
30      106.2480
↗0.229, 0.22%
31      106.2480
→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(“2018-03-01”),106.176,106.18],[new Date(“2018-03-02”),105.716,105.72],[new Date(“2018-03-03”),105.716,105.72],[new Date(“2018-03-04”),105.557,105.56],[new Date(“2018-03-05”),106.248,106.25],[new Date(“2018-03-06”),105.535,105.54],[new Date(“2018-03-07”),106.181,106.18],[new Date(“2018-03-08”),106.410,106.41],[new Date(“2018-03-09”),106.770,106.77],[new Date(“2018-03-10”),106.770,106.77],[new Date(“2018-03-11”),106.882,106.88],[new Date(“2018-03-12”),106.280,106.28],[new Date(“2018-03-13”),106.492,106.49],[new Date(“2018-03-14”),106.157,106.16],[new Date(“2018-03-15”),106.314,106.31],[new Date(“2018-03-16”),105.976,105.98],[new Date(“2018-03-17”),105.976,105.98],[new Date(“2018-03-18”),105.964,105.96],[new Date(“2018-03-19”),106.002,106.00],[new Date(“2018-03-20”),106.460,106.46],[new Date(“2018-03-21”),105.939,105.94],[new Date(“2018-03-22”),104.973,104.97],[new Date(“2018-03-23”),104.729,104.73],[new Date(“2018-03-24”),104.729,104.73],[new Date(“2018-03-25”),104.842,104.84],[new Date(“2018-03-26”),105.505,105.50],[new Date(“2018-03-27”),105.473,105.47],[new Date(“2018-03-28”),106.810,106.81],[new Date(“2018-03-29”),106.477,106.48],[new Date(“2018-03-30”),106.248,106.25],[new Date(“2018-03-31″),106.248,106.25],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2018

01      109.3990
02      110.0300
↘0.631, 0.58%
03      110.0300
→0.000, 0.00%
04      110.0370
↘0.007, 0.01%
05      109.0540
↗0.983, 0.89%
06      109.6230
↘0.569, 0.52%
07      109.1760
↗0.447, 0.41%
08      108.5120
↗0.664, 0.61%
09      108.7770
↘0.265, 0.24%
10      108.7770
→0.000, 0.00%
11      108.7770
↗0.000, 0.00%
12      108.6960
↗0.081, 0.07%
13      107.7620
↗0.934, 0.86%
14      106.5790
↗1.183, 1.10%
15      106.1130
↗0.466, 0.44%
16      106.1260
↘0.013, 0.01%
17      106.1260
→0.000, 0.00%
18      106.2430
↘0.117, 0.11%
19      106.7370
↘0.494, 0.46%
20      107.3800
↘0.643, 0.60%
21      107.5590
↘0.179, 0.17%
22      106.8190
↗0.740, 0.69%
23      106.7960
↗0.023, 0.02%
24      106.7960
→0.000, 0.00%
25      107.0730
↘0.277, 0.26%
26      107.0730
→0.000, 0.00%
27      107.4220
↘0.349, 0.33%
28      106.6350
↗0.787, 0.73%
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(“2018-02-01”),109.399,109.40],[new Date(“2018-02-02”),110.030,110.03],[new Date(“2018-02-03”),110.030,110.03],[new Date(“2018-02-04”),110.037,110.04],[new Date(“2018-02-05”),109.054,109.05],[new Date(“2018-02-06”),109.623,109.62],[new Date(“2018-02-07”),109.176,109.18],[new Date(“2018-02-08”),108.512,108.51],[new Date(“2018-02-09”),108.777,108.78],[new Date(“2018-02-10”),108.777,108.78],[new Date(“2018-02-11”),108.777,108.78],[new Date(“2018-02-12”),108.696,108.70],[new Date(“2018-02-13”),107.762,107.76],[new Date(“2018-02-14”),106.579,106.58],[new Date(“2018-02-15”),106.113,106.11],[new Date(“2018-02-16”),106.126,106.13],[new Date(“2018-02-17”),106.126,106.13],[new Date(“2018-02-18”),106.243,106.24],[new Date(“2018-02-19”),106.737,106.74],[new Date(“2018-02-20”),107.380,107.38],[new Date(“2018-02-21”),107.559,107.56],[new Date(“2018-02-22”),106.819,106.82],[new Date(“2018-02-23”),106.796,106.80],[new Date(“2018-02-24”),106.796,106.80],[new Date(“2018-02-25”),107.073,107.07],[new Date(“2018-02-26”),107.073,107.07],[new Date(“2018-02-27”),107.422,107.42],[new Date(“2018-02-28″),106.635,106.64],]);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, 2018

01      112.7800
02      112.2470
↗0.533, 0.47%
03      112.5870
↘0.340, 0.30%
04      112.7940
↘0.207, 0.18%
05      112.9850
↘0.191, 0.17%
06      112.9850
→0.000, 0.00%
07      113.1450
↘0.160, 0.14%
08      113.1450
→0.000, 0.00%
09      112.7550
↗0.390, 0.34%
10      111.4500
↗1.305, 1.16%
11      111.2870
↗0.163, 0.15%
12      110.9410
↗0.346, 0.31%
13      110.9410
→0.000, 0.00%
14      111.0960
↘0.155, 0.14%
15      110.6080
↗0.488, 0.44%
16      110.3930
↗0.215, 0.19%
17      111.3450
↘0.952, 0.86%
18      111.0260
↗0.319, 0.29%
19      110.6150
↗0.411, 0.37%
20      110.6150
→0.000, 0.00%
21      110.6860
↘0.071, 0.06%
22      110.9670
↘0.281, 0.25%
23      110.0830
↗0.884, 0.80%
24      109.3340
↗0.749, 0.68%
25      109.7040
↘0.370, 0.34%
26      108.5160
↗1.188, 1.08%
27      108.5160
→0.000, 0.00%
28      108.6270
↘0.111, 0.10%
29      108.9260
↘0.299, 0.28%
30      108.7300
↗0.196, 0.18%
31      109.2060
↘0.476, 0.44%
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(“2018-01-01”),112.780,112.78],[new Date(“2018-01-02”),112.247,112.25],[new Date(“2018-01-03”),112.587,112.59],[new Date(“2018-01-04”),112.794,112.79],[new Date(“2018-01-05”),112.985,112.99],[new Date(“2018-01-06”),112.985,112.99],[new Date(“2018-01-07”),113.145,113.14],[new Date(“2018-01-08”),113.145,113.14],[new Date(“2018-01-09”),112.755,112.75],[new Date(“2018-01-10”),111.450,111.45],[new Date(“2018-01-11”),111.287,111.29],[new Date(“2018-01-12”),110.941,110.94],[new Date(“2018-01-13”),110.941,110.94],[new Date(“2018-01-14”),111.096,111.10],[new Date(“2018-01-15”),110.608,110.61],[new Date(“2018-01-16”),110.393,110.39],[new Date(“2018-01-17”),111.345,111.35],[new Date(“2018-01-18”),111.026,111.03],[new Date(“2018-01-19”),110.615,110.61],[new Date(“2018-01-20”),110.615,110.61],[new Date(“2018-01-21”),110.686,110.69],[new Date(“2018-01-22”),110.967,110.97],[new Date(“2018-01-23”),110.083,110.08],[new Date(“2018-01-24”),109.334,109.33],[new Date(“2018-01-25”),109.704,109.70],[new Date(“2018-01-26”),108.516,108.52],[new Date(“2018-01-27”),108.516,108.52],[new Date(“2018-01-28”),108.627,108.63],[new Date(“2018-01-29”),108.926,108.93],[new Date(“2018-01-30”),108.730,108.73],[new Date(“2018-01-31″),109.206,109.21],]);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_1’));
chart.draw(data, options);
}