Japanese Yen JPY 2019 Conversion Rates

  • Opening Value is 109.673505 JPY per Dollar
  • Closing Value is 108.685996 JPY per Dollar
  • Change in Value during 2019 is -0.9875 which is -0.90%
  • Best Performance is on 2019-08-25 with 104.857496 JPY per Dollar
  • Lowest Performance is on 2019-04-24 with 112.133502 JPY per Dollar
  • Average Value is 109.0057 JPY per Dollar
  • Swing Between the higest and the lowest is 7.2760 per Dollar, that is 6.63% compared to the opening value.

USD to JPY Conversion Rates – 12 months

Date 1 USD =
2019-12-31 108.6860 JPY
2019-11-30 109.4820 JPY
2019-10-31 108.0010 JPY
2019-09-30 108.0740 JPY
2019-08-31 106.2950 JPY
2019-07-31 108.8250 JPY
2019-06-30 108.3855 JPY
2019-05-31 108.2750 JPY
2019-04-30 111.4010 JPY
2019-03-31 111.0001 JPY
2019-02-28 111.3595 JPY
2019-01-31 108.8490 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(“2019-12-31”),108.686,108.69],[new Date(“2019-11-30”),109.482,109.48],[new Date(“2019-10-31”),108.001,108.00],[new Date(“2019-09-30”),108.074,108.07],[new Date(“2019-08-31”),106.295,106.30],[new Date(“2019-07-31”),108.825,108.83],[new Date(“2019-06-30”),108.385,108.39],[new Date(“2019-05-31”),108.275,108.28],[new Date(“2019-04-30”),111.401,111.40],[new Date(“2019-03-31”),111.000,111.00],[new Date(“2019-02-28”),111.360,111.36],[new Date(“2019-01-31”),108.849,108.85],]);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, 2019

01      109.5355
02      109.0255
↗0.510, 0.47%
03      108.6580
↗0.368, 0.34%
04      108.8365
↘0.179, 0.16%
05      108.7405
↗0.096, 0.09%
06      108.5810
↗0.159, 0.15%
07      108.5810
→0.000, 0.00%
08      108.6305
↘0.049, 0.05%
09      108.5855
↗0.045, 0.04%
10      108.7670
↘0.181, 0.17%
11      108.5540
↗0.213, 0.20%
12      109.4160
↘0.862, 0.79%
13      109.3315
↗0.084, 0.08%
14      109.3315
→0.000, 0.00%
15      109.4035
↘0.072, 0.07%
16      109.5860
↘0.183, 0.17%
17      109.5195
↗0.067, 0.06%
18      109.5560
↘0.037, 0.03%
19      109.3830
↗0.173, 0.16%
20      109.4490
↘0.066, 0.06%
21      109.4490
→0.000, 0.00%
22      109.4995
↘0.050, 0.05%
23      109.3850
↗0.114, 0.10%
24      109.3880
↘0.003, 0.00%
25      109.3739
↗0.014, 0.01%
26      109.5450
↘0.171, 0.16%
27      109.4775
↗0.068, 0.06%
28      109.4775
→0.000, 0.00%
29      109.4315
↗0.046, 0.04%
30      108.8780
↗0.554, 0.51%
31      108.6860
↗0.192, 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(“2019-12-01”),109.535,109.54],[new Date(“2019-12-02”),109.025,109.03],[new Date(“2019-12-03”),108.658,108.66],[new Date(“2019-12-04”),108.837,108.84],[new Date(“2019-12-05”),108.741,108.74],[new Date(“2019-12-06”),108.581,108.58],[new Date(“2019-12-07”),108.581,108.58],[new Date(“2019-12-08”),108.631,108.63],[new Date(“2019-12-09”),108.585,108.59],[new Date(“2019-12-10”),108.767,108.77],[new Date(“2019-12-11”),108.554,108.55],[new Date(“2019-12-12”),109.416,109.42],[new Date(“2019-12-13”),109.332,109.33],[new Date(“2019-12-14”),109.332,109.33],[new Date(“2019-12-15”),109.404,109.40],[new Date(“2019-12-16”),109.586,109.59],[new Date(“2019-12-17”),109.520,109.52],[new Date(“2019-12-18”),109.556,109.56],[new Date(“2019-12-19”),109.383,109.38],[new Date(“2019-12-20”),109.449,109.45],[new Date(“2019-12-21”),109.449,109.45],[new Date(“2019-12-22”),109.499,109.50],[new Date(“2019-12-23”),109.385,109.38],[new Date(“2019-12-24”),109.388,109.39],[new Date(“2019-12-25”),109.374,109.37],[new Date(“2019-12-26”),109.545,109.55],[new Date(“2019-12-27”),109.478,109.48],[new Date(“2019-12-28”),109.478,109.48],[new Date(“2019-12-29”),109.432,109.43],[new Date(“2019-12-30”),108.878,108.88],[new Date(“2019-12-31″),108.686,108.69],]);var options = {
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
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November, 2019

01      108.2050
02      108.1850
↗0.020, 0.02%
03      108.2235
↘0.038, 0.04%
04      108.7040
↘0.480, 0.44%
05      109.1510
↘0.447, 0.41%
06      108.9155
↗0.235, 0.22%
07      109.2790
↘0.364, 0.33%
08      109.2530
↗0.026, 0.02%
09      109.2530
→0.000, 0.00%
10      109.2305
↗0.023, 0.02%
11      109.0455
↗0.185, 0.17%
12      108.9950
↗0.050, 0.05%
13      108.8050
↗0.190, 0.17%
14      108.4960
↗0.309, 0.28%
15      108.7690
↘0.273, 0.25%
16      108.7690
→0.000, 0.00%
17      108.7025
↗0.067, 0.06%
18      108.6720
↗0.031, 0.03%
19      108.4495
↗0.222, 0.20%
20      108.4840
↘0.034, 0.03%
21      108.5870
↘0.103, 0.09%
22      108.6415
↘0.055, 0.05%
23      108.6415
→0.000, 0.00%
24      108.7350
↘0.094, 0.09%
25      108.9945
↘0.259, 0.24%
26      109.0995
↘0.105, 0.10%
27      109.3695
↘0.270, 0.25%
28      109.5175
↘0.148, 0.14%
29      109.4845
↗0.033, 0.03%
30      109.4820
↗0.002, 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”);
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
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October, 2019

01      107.7420
02      107.1680
↗0.574, 0.53%
03      106.8315
↗0.336, 0.31%
04      106.9270
↘0.096, 0.09%
05      106.9450
↘0.018, 0.02%
06      106.7675
↗0.178, 0.17%
07      107.2550
↘0.488, 0.46%
08      106.9645
↗0.291, 0.27%
09      107.1820
↘0.218, 0.20%
10      107.8850
↘0.703, 0.66%
11      108.3780
↘0.493, 0.46%
12      108.3780
→0.000, 0.00%
13      108.4645
↘0.086, 0.08%
14      108.3896
↗0.075, 0.07%
15      108.8190
↘0.429, 0.40%
16      108.6820
↗0.137, 0.13%
17      108.5860
↗0.096, 0.09%
18      108.4070
↗0.179, 0.16%
19      108.4070
→0.000, 0.00%
20      108.4130
↘0.006, 0.01%
21      108.6055
↘0.193, 0.18%
22      108.4870
↗0.118, 0.11%
23      108.6465
↘0.159, 0.15%
24      108.6110
↗0.036, 0.03%
25      108.6650
↘0.054, 0.05%
26      108.6650
→0.000, 0.00%
27      108.7375
↘0.072, 0.07%
28      108.9690
↘0.232, 0.21%
29      108.8775
↗0.092, 0.08%
30      108.7925
↗0.085, 0.08%
31      108.0010
↗0.792, 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(“2019-10-01”),107.742,107.74],[new Date(“2019-10-02”),107.168,107.17],[new Date(“2019-10-03”),106.831,106.83],[new Date(“2019-10-04”),106.927,106.93],[new Date(“2019-10-05”),106.945,106.95],[new Date(“2019-10-06”),106.768,106.77],[new Date(“2019-10-07”),107.255,107.26],[new Date(“2019-10-08”),106.965,106.96],[new Date(“2019-10-09”),107.182,107.18],[new Date(“2019-10-10”),107.885,107.89],[new Date(“2019-10-11”),108.378,108.38],[new Date(“2019-10-12”),108.378,108.38],[new Date(“2019-10-13”),108.464,108.46],[new Date(“2019-10-14”),108.390,108.39],[new Date(“2019-10-15”),108.819,108.82],[new Date(“2019-10-16”),108.682,108.68],[new Date(“2019-10-17”),108.586,108.59],[new Date(“2019-10-18”),108.407,108.41],[new Date(“2019-10-19”),108.407,108.41],[new Date(“2019-10-20”),108.413,108.41],[new Date(“2019-10-21”),108.605,108.61],[new Date(“2019-10-22”),108.487,108.49],[new Date(“2019-10-23”),108.646,108.65],[new Date(“2019-10-24”),108.611,108.61],[new Date(“2019-10-25”),108.665,108.67],[new Date(“2019-10-26”),108.665,108.67],[new Date(“2019-10-27”),108.737,108.74],[new Date(“2019-10-28”),108.969,108.97],[new Date(“2019-10-29”),108.878,108.88],[new Date(“2019-10-30”),108.793,108.79],[new Date(“2019-10-31″),108.001,108.00],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
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September, 2019

01      106.1330
02      106.1965
↘0.063, 0.06%
03      105.8635
↗0.333, 0.31%
04      106.3302
↘0.467, 0.44%
05      107.0765
↘0.746, 0.70%
06      106.9150
↗0.161, 0.15%
07      106.9250
↘0.010, 0.01%
08      106.9485
↘0.023, 0.02%
09      107.3395
↘0.391, 0.37%
10      107.6050
↘0.266, 0.25%
11      108.0235
↘0.418, 0.39%
12      108.1785
↘0.155, 0.14%
13      108.0850
↗0.093, 0.09%
14      108.0850
→0.000, 0.00%
15      107.7701
↗0.315, 0.29%
16      108.1660
↘0.396, 0.37%
17      108.0920
↗0.074, 0.07%
18      108.4295
↘0.338, 0.31%
19      108.0455
↗0.384, 0.35%
20      107.5560
↗0.489, 0.45%
21      107.5560
→0.000, 0.00%
22      107.6570
↘0.101, 0.09%
23      107.6190
↗0.038, 0.04%
24      107.1680
↗0.451, 0.42%
25      107.6965
↘0.529, 0.49%
26      107.7610
↘0.065, 0.06%
27      107.9604
↘0.199, 0.18%
28      107.9350
↗0.025, 0.02%
29      107.9490
↘0.014, 0.01%
30      108.0740
↘0.125, 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(“2019-09-01”),106.133,106.13],[new Date(“2019-09-02”),106.197,106.20],[new Date(“2019-09-03”),105.864,105.86],[new Date(“2019-09-04”),106.330,106.33],[new Date(“2019-09-05”),107.076,107.08],[new Date(“2019-09-06”),106.915,106.92],[new Date(“2019-09-07”),106.925,106.93],[new Date(“2019-09-08”),106.948,106.95],[new Date(“2019-09-09”),107.340,107.34],[new Date(“2019-09-10”),107.605,107.61],[new Date(“2019-09-11”),108.024,108.02],[new Date(“2019-09-12”),108.178,108.18],[new Date(“2019-09-13”),108.085,108.09],[new Date(“2019-09-14”),108.085,108.09],[new Date(“2019-09-15”),107.770,107.77],[new Date(“2019-09-16”),108.166,108.17],[new Date(“2019-09-17”),108.092,108.09],[new Date(“2019-09-18”),108.430,108.43],[new Date(“2019-09-19”),108.045,108.05],[new Date(“2019-09-20”),107.556,107.56],[new Date(“2019-09-21”),107.556,107.56],[new Date(“2019-09-22”),107.657,107.66],[new Date(“2019-09-23”),107.619,107.62],[new Date(“2019-09-24”),107.168,107.17],[new Date(“2019-09-25”),107.697,107.70],[new Date(“2019-09-26”),107.761,107.76],[new Date(“2019-09-27”),107.960,107.96],[new Date(“2019-09-28”),107.935,107.94],[new Date(“2019-09-29”),107.949,107.95],[new Date(“2019-09-30″),108.074,108.07],]);var options = {
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
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August, 2019

01      107.4345
02      106.5850
↗0.849, 0.79%
03      106.5850
→0.000, 0.00%
04      106.5805
↗0.005, 0.00%
05      105.5965
↗0.984, 0.92%
06      106.3405
↘0.744, 0.70%
07      106.1260
↗0.215, 0.20%
08      105.8790
↗0.247, 0.23%
09      105.6750
↗0.204, 0.19%
10      105.6750
→0.000, 0.00%
11      105.3870
↗0.288, 0.27%
12      105.3630
↗0.024, 0.02%
13      106.5945
↘1.231, 1.17%
14      105.9210
↗0.673, 0.63%
15      106.0865
↘0.165, 0.16%
16      106.3750
↘0.289, 0.27%
17      106.3750
→0.000, 0.00%
18      106.4350
↘0.060, 0.06%
19      106.5775
↘0.142, 0.13%
20      106.2775
↗0.300, 0.28%
21      106.6020
↘0.324, 0.31%
22      106.4730
↗0.129, 0.12%
23      105.4050
↗1.068, 1.00%
24      105.4050
→0.000, 0.00%
25      104.8575
↗0.548, 0.52%
26      105.9815
↘1.124, 1.07%
27      105.7430
↗0.238, 0.23%
28      106.0750
↘0.332, 0.31%
29      106.4430
↘0.368, 0.35%
30      106.2950
↗0.148, 0.14%
31      106.2950
→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”);
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
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July, 2019

01      108.3705
02      107.8099
↗0.561, 0.52%
03      107.7825
↗0.027, 0.03%
04      107.8125
↘0.030, 0.03%
05      108.4650
↘0.653, 0.61%
06      108.4650
→0.000, 0.00%
07      108.4790
↘0.014, 0.01%
08      108.7250
↘0.246, 0.23%
09      108.9290
↘0.204, 0.19%
10      108.3380
↗0.591, 0.54%
11      108.5925
↘0.255, 0.23%
12      107.9150
↗0.677, 0.62%
13      107.9150
→0.000, 0.00%
14      107.8365
↗0.079, 0.07%
15      107.8940
↘0.057, 0.05%
16      108.2060
↘0.312, 0.29%
17      107.9420
↗0.264, 0.24%
18      107.4055
↗0.536, 0.50%
19      107.7150
↘0.310, 0.29%
20      107.7250
↘0.010, 0.01%
21      107.8150
↘0.090, 0.08%
22      107.9075
↘0.093, 0.09%
23      108.2370
↘0.330, 0.31%
24      108.1940
↗0.043, 0.04%
25      108.6710
↘0.477, 0.44%
26      108.6750
↘0.004, 0.00%
27      108.6750
→0.000, 0.00%
28      108.6380
↗0.037, 0.03%
29      108.8695
↘0.232, 0.21%
30      108.5650
↗0.304, 0.28%
31      108.8250
↘0.260, 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(“2019-07-01”),108.371,108.37],[new Date(“2019-07-02”),107.810,107.81],[new Date(“2019-07-03”),107.783,107.78],[new Date(“2019-07-04”),107.812,107.81],[new Date(“2019-07-05”),108.465,108.47],[new Date(“2019-07-06”),108.465,108.47],[new Date(“2019-07-07”),108.479,108.48],[new Date(“2019-07-08”),108.725,108.73],[new Date(“2019-07-09”),108.929,108.93],[new Date(“2019-07-10”),108.338,108.34],[new Date(“2019-07-11”),108.593,108.59],[new Date(“2019-07-12”),107.915,107.92],[new Date(“2019-07-13”),107.915,107.92],[new Date(“2019-07-14”),107.837,107.84],[new Date(“2019-07-15”),107.894,107.89],[new Date(“2019-07-16”),108.206,108.21],[new Date(“2019-07-17”),107.942,107.94],[new Date(“2019-07-18”),107.405,107.41],[new Date(“2019-07-19”),107.715,107.72],[new Date(“2019-07-20”),107.725,107.73],[new Date(“2019-07-21”),107.815,107.81],[new Date(“2019-07-22”),107.908,107.91],[new Date(“2019-07-23”),108.237,108.24],[new Date(“2019-07-24”),108.194,108.19],[new Date(“2019-07-25”),108.671,108.67],[new Date(“2019-07-26”),108.675,108.68],[new Date(“2019-07-27”),108.675,108.68],[new Date(“2019-07-28”),108.638,108.64],[new Date(“2019-07-29”),108.869,108.87],[new Date(“2019-07-30”),108.565,108.57],[new Date(“2019-07-31″),108.825,108.83],]);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, 2019

01      108.2750
02      108.2170
↗0.058, 0.05%
03      108.0295
↗0.187, 0.17%
04      108.2590
↘0.229, 0.21%
05      108.3315
↘0.073, 0.07%
06      108.4575
↘0.126, 0.12%
07      108.1850
↗0.272, 0.25%
08      108.1850
→0.000, 0.00%
09      108.4535
↘0.268, 0.25%
10      108.3625
↗0.091, 0.08%
11      108.4775
↘0.115, 0.11%
12      108.4905
↘0.013, 0.01%
13      108.3250
↗0.165, 0.15%
14      108.5650
↘0.240, 0.22%
15      108.5650
→0.000, 0.00%
16      108.5795
↘0.014, 0.01%
17      108.5490
↗0.030, 0.03%
18      108.5775
↘0.029, 0.03%
19      108.1205
↗0.457, 0.42%
20      107.2805
↗0.840, 0.78%
21      107.3150
↘0.035, 0.03%
22      107.3150
→0.000, 0.00%
23      107.3160
↘0.001, 0.00%
24      107.3315
↘0.015, 0.01%
25      107.1698
↗0.162, 0.15%
26      107.7435
↘0.574, 0.54%
27      107.7495
↘0.006, 0.01%
28      107.8950
↘0.146, 0.14%
29      107.8950
→0.000, 0.00%
30      108.3855
↘0.490, 0.45%
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(“2019-06-01”),108.275,108.28],[new Date(“2019-06-02”),108.217,108.22],[new Date(“2019-06-03”),108.029,108.03],[new Date(“2019-06-04”),108.259,108.26],[new Date(“2019-06-05”),108.332,108.33],[new Date(“2019-06-06”),108.457,108.46],[new Date(“2019-06-07”),108.185,108.19],[new Date(“2019-06-08”),108.185,108.19],[new Date(“2019-06-09”),108.454,108.45],[new Date(“2019-06-10”),108.362,108.36],[new Date(“2019-06-11”),108.477,108.48],[new Date(“2019-06-12”),108.490,108.49],[new Date(“2019-06-13”),108.325,108.33],[new Date(“2019-06-14”),108.565,108.57],[new Date(“2019-06-15”),108.565,108.57],[new Date(“2019-06-16”),108.579,108.58],[new Date(“2019-06-17”),108.549,108.55],[new Date(“2019-06-18”),108.578,108.58],[new Date(“2019-06-19”),108.120,108.12],[new Date(“2019-06-20”),107.281,107.28],[new Date(“2019-06-21”),107.315,107.32],[new Date(“2019-06-22”),107.315,107.32],[new Date(“2019-06-23”),107.316,107.32],[new Date(“2019-06-24”),107.331,107.33],[new Date(“2019-06-25”),107.170,107.17],[new Date(“2019-06-26”),107.744,107.74],[new Date(“2019-06-27”),107.749,107.75],[new Date(“2019-06-28”),107.895,107.90],[new Date(“2019-06-29”),107.895,107.90],[new Date(“2019-06-30″),108.385,108.39],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2019

01      111.4555
02      111.4985
↘0.043, 0.04%
03      111.1050
↗0.393, 0.35%
04      111.1050
→0.000, 0.00%
05      110.6305
↗0.475, 0.43%
06      110.8075
↘0.177, 0.16%
07      110.2620
↗0.546, 0.49%
08      110.0330
↗0.229, 0.21%
09      109.8105
↗0.222, 0.20%
10      109.9450
↘0.135, 0.12%
11      109.9450
→0.000, 0.00%
12      109.6590
↗0.286, 0.26%
13      109.1580
↗0.501, 0.46%
14      109.6735
↘0.516, 0.47%
15      109.4765
↗0.197, 0.18%
16      109.8755
↘0.399, 0.36%
17      110.0750
↘0.200, 0.18%
18      110.0750
→0.000, 0.00%
19      110.1645
↘0.089, 0.08%
20      110.0750
↗0.089, 0.08%
21      110.5665
↘0.492, 0.45%
22      110.2260
↗0.340, 0.31%
23      109.5635
↗0.663, 0.60%
24      109.3050
↗0.258, 0.24%
25      109.2950
↗0.010, 0.01%
26      109.4060
↘0.111, 0.10%
27      109.5140
↘0.108, 0.10%
28      109.3510
↗0.163, 0.15%
29      109.5495
↘0.198, 0.18%
30      109.3610
↗0.188, 0.17%
31      108.2750
↗1.086, 0.99%
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(“2019-05-01”),111.455,111.46],[new Date(“2019-05-02”),111.499,111.50],[new Date(“2019-05-03”),111.105,111.11],[new Date(“2019-05-04”),111.105,111.11],[new Date(“2019-05-05”),110.631,110.63],[new Date(“2019-05-06”),110.807,110.81],[new Date(“2019-05-07”),110.262,110.26],[new Date(“2019-05-08”),110.033,110.03],[new Date(“2019-05-09”),109.811,109.81],[new Date(“2019-05-10”),109.945,109.95],[new Date(“2019-05-11”),109.945,109.95],[new Date(“2019-05-12”),109.659,109.66],[new Date(“2019-05-13”),109.158,109.16],[new Date(“2019-05-14”),109.674,109.67],[new Date(“2019-05-15”),109.477,109.48],[new Date(“2019-05-16”),109.876,109.88],[new Date(“2019-05-17”),110.075,110.08],[new Date(“2019-05-18”),110.075,110.08],[new Date(“2019-05-19”),110.164,110.16],[new Date(“2019-05-20”),110.075,110.08],[new Date(“2019-05-21”),110.567,110.57],[new Date(“2019-05-22”),110.226,110.23],[new Date(“2019-05-23”),109.563,109.56],[new Date(“2019-05-24”),109.305,109.31],[new Date(“2019-05-25”),109.295,109.30],[new Date(“2019-05-26”),109.406,109.41],[new Date(“2019-05-27”),109.514,109.51],[new Date(“2019-05-28”),109.351,109.35],[new Date(“2019-05-29”),109.550,109.55],[new Date(“2019-05-30”),109.361,109.36],[new Date(“2019-05-31″),108.275,108.28],]);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, 2019

01      111.4535
02      111.3102
↗0.143, 0.13%
03      111.3975
↘0.087, 0.08%
04      111.6605
↘0.263, 0.24%
05      111.7250
↘0.065, 0.06%
06      111.7250
→0.000, 0.00%
07      111.7155
↗0.010, 0.01%
08      111.4615
↗0.254, 0.23%
09      111.1075
↗0.354, 0.32%
10      110.9895
↗0.118, 0.11%
11      111.6260
↘0.636, 0.57%
12      112.0250
↘0.399, 0.36%
13      112.0350
↘0.010, 0.01%
14      112.0330
↗0.002, 0.00%
15      111.9475
↗0.086, 0.08%
16      111.9955
↘0.048, 0.04%
17      112.0395
↘0.044, 0.04%
18      111.9925
↗0.047, 0.04%
19      111.9204
↗0.072, 0.06%
20      111.9204
→0.000, 0.00%
21      111.9150
↗0.005, 0.00%
22      111.9325
↘0.017, 0.02%
23      111.8820
↗0.050, 0.05%
24      112.1335
↘0.251, 0.22%
25      111.5425
↗0.591, 0.53%
26      111.5850
↘0.043, 0.04%
27      111.5750
↗0.010, 0.01%
28      111.5975
↘0.022, 0.02%
29      111.6820
↘0.085, 0.08%
30      111.4010
↗0.281, 0.25%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-04-01”),111.453,111.45],[new Date(“2019-04-02”),111.310,111.31],[new Date(“2019-04-03”),111.398,111.40],[new Date(“2019-04-04”),111.660,111.66],[new Date(“2019-04-05”),111.725,111.73],[new Date(“2019-04-06”),111.725,111.73],[new Date(“2019-04-07”),111.715,111.72],[new Date(“2019-04-08”),111.462,111.46],[new Date(“2019-04-09”),111.107,111.11],[new Date(“2019-04-10”),110.990,110.99],[new Date(“2019-04-11”),111.626,111.63],[new Date(“2019-04-12”),112.025,112.03],[new Date(“2019-04-13”),112.035,112.04],[new Date(“2019-04-14”),112.033,112.03],[new Date(“2019-04-15”),111.948,111.95],[new Date(“2019-04-16”),111.995,112.00],[new Date(“2019-04-17”),112.040,112.04],[new Date(“2019-04-18”),111.993,111.99],[new Date(“2019-04-19”),111.920,111.92],[new Date(“2019-04-20”),111.920,111.92],[new Date(“2019-04-21”),111.915,111.92],[new Date(“2019-04-22”),111.933,111.93],[new Date(“2019-04-23”),111.882,111.88],[new Date(“2019-04-24”),112.134,112.13],[new Date(“2019-04-25”),111.543,111.54],[new Date(“2019-04-26”),111.585,111.59],[new Date(“2019-04-27”),111.575,111.58],[new Date(“2019-04-28”),111.598,111.60],[new Date(“2019-04-29”),111.682,111.68],[new Date(“2019-04-30″),111.401,111.40],]);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_4’));
chart.draw(data, options);
}

March, 2019

01      111.9150
02      111.9150
→0.000, 0.00%
03      111.9415
↘0.026, 0.02%
04      111.7805
↗0.161, 0.14%
05      111.8760
↘0.095, 0.09%
06      111.6265
↗0.249, 0.22%
07      111.6380
↘0.012, 0.01%
08      111.1650
↗0.473, 0.42%
09      111.1650
→0.000, 0.00%
10      111.0835
↗0.082, 0.07%
11      111.3460
↘0.263, 0.24%
12      111.3095
↗0.037, 0.03%
13      111.1995
↗0.110, 0.10%
14      111.7590
↘0.560, 0.50%
15      111.4250
↗0.334, 0.30%
16      111.4250
→0.000, 0.00%
17      111.5645
↘0.139, 0.13%
18      111.3780
↗0.187, 0.17%
19      111.4060
↘0.028, 0.03%
20      110.6650
↗0.741, 0.67%
21      110.8110
↘0.146, 0.13%
22      109.9250
↗0.886, 0.80%
23      109.9250
→0.000, 0.00%
24      110.0860
↘0.161, 0.15%
25      110.0730
↗0.013, 0.01%
26      110.5605
↘0.487, 0.44%
27      110.4950
↗0.065, 0.06%
28      110.6420
↘0.147, 0.13%
29      110.8750
↘0.233, 0.21%
30      110.8750
→0.000, 0.00%
31      111.0001
↘0.125, 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(“2019-03-01”),111.915,111.92],[new Date(“2019-03-02”),111.915,111.92],[new Date(“2019-03-03”),111.942,111.94],[new Date(“2019-03-04”),111.780,111.78],[new Date(“2019-03-05”),111.876,111.88],[new Date(“2019-03-06”),111.626,111.63],[new Date(“2019-03-07”),111.638,111.64],[new Date(“2019-03-08”),111.165,111.17],[new Date(“2019-03-09”),111.165,111.17],[new Date(“2019-03-10”),111.084,111.08],[new Date(“2019-03-11”),111.346,111.35],[new Date(“2019-03-12”),111.309,111.31],[new Date(“2019-03-13”),111.200,111.20],[new Date(“2019-03-14”),111.759,111.76],[new Date(“2019-03-15”),111.425,111.43],[new Date(“2019-03-16”),111.425,111.43],[new Date(“2019-03-17”),111.565,111.56],[new Date(“2019-03-18”),111.378,111.38],[new Date(“2019-03-19”),111.406,111.41],[new Date(“2019-03-20”),110.665,110.66],[new Date(“2019-03-21”),110.811,110.81],[new Date(“2019-03-22”),109.925,109.93],[new Date(“2019-03-23”),109.925,109.93],[new Date(“2019-03-24”),110.086,110.09],[new Date(“2019-03-25”),110.073,110.07],[new Date(“2019-03-26”),110.561,110.56],[new Date(“2019-03-27”),110.495,110.50],[new Date(“2019-03-28”),110.642,110.64],[new Date(“2019-03-29”),110.875,110.88],[new Date(“2019-03-30”),110.875,110.88],[new Date(“2019-03-31″),111.000,111.00],]);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, 2019

01      109.4950
02      109.4950
→0.000, 0.00%
03      109.4430
↗0.052, 0.05%
04      109.9710
↘0.528, 0.48%
05      109.9455
↗0.025, 0.02%
06      109.9840
↘0.038, 0.03%
07      109.7595
↗0.224, 0.20%
08      109.7370
↗0.022, 0.02%
09      109.7350
↗0.002, 0.00%
10      109.8150
↘0.080, 0.07%
11      110.4040
↘0.589, 0.54%
12      110.5185
↘0.115, 0.10%
13      110.9280
↘0.409, 0.37%
14      110.5405
↗0.387, 0.35%
15      110.4950
↗0.045, 0.04%
16      110.4950
→0.000, 0.00%
17      110.5680
↘0.073, 0.07%
18      110.5935
↘0.025, 0.02%
19      110.5820
↗0.011, 0.01%
20      110.7695
↘0.187, 0.17%
21      110.7125
↗0.057, 0.05%
22      110.6790
↗0.033, 0.03%
23      110.7050
↘0.026, 0.02%
24      110.7755
↘0.070, 0.06%
25      111.0510
↘0.276, 0.25%
26      110.5610
↗0.490, 0.44%
27      110.8660
↘0.305, 0.28%
28      111.3595
↘0.493, 0.45%
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”);
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title: ‘Date’
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title: ‘Conversion Rate’
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January, 2019

01      109.6735
02      107.4465
↗2.227, 2.03%
03      107.8150
↘0.368, 0.34%
04      108.5304
↘0.715, 0.66%
05      108.5304
→0.000, 0.00%
06      108.5280
↗0.002, 0.00%
07      108.6210
↘0.093, 0.09%
08      108.7810
↘0.160, 0.15%
09      108.1925
↗0.589, 0.54%
10      108.3030
↘0.110, 0.10%
11      108.5504
↘0.247, 0.23%
12      108.5504
→0.000, 0.00%
13      108.4630
↗0.087, 0.08%
14      108.2525
↗0.211, 0.19%
15      108.6465
↘0.394, 0.36%
16      109.0415
↘0.395, 0.36%
17      109.1565
↘0.115, 0.11%
18      109.7750
↘0.619, 0.57%
19      109.7750
→0.000, 0.00%
20      109.6670
↗0.108, 0.10%
21      109.6750
↘0.008, 0.01%
22      109.3595
↗0.316, 0.29%
23      109.4969
↘0.137, 0.13%
24      109.6020
↘0.105, 0.10%
25      109.5450
↗0.057, 0.05%
26      109.5550
↘0.010, 0.01%
27      109.4050
↗0.150, 0.14%
28      109.2585
↗0.147, 0.13%
29      109.4221
↘0.164, 0.15%
30      108.9850
↗0.437, 0.40%
31      108.8490
↗0.136, 0.12%
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var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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