Myanma Kyat MMK 2019 Conversion Rates

  • Opening Value is 1541.250279 MMK per Dollar
  • Closing Value is 1475.677952 MMK per Dollar
  • Change in Value during 2019 is -65.5723 which is -4.25%
  • Best Performance is on 2019-12-31 with 1475.677952 MMK per Dollar
  • Lowest Performance is on 2019-02-13 with 1550.749888 MMK per Dollar
  • Average Value is 1,521.2128 MMK per Dollar
  • Swing Between the higest and the lowest is 75.0719 per Dollar, that is 4.87% compared to the opening value.

USD to MMK Conversion Rates – 12 months

Date 1 USD =
2019-12-31 1,475.6780 MMK
2019-11-30 1,504.5173 MMK
2019-10-31 1,525.2811 MMK
2019-09-30 1,535.1012 MMK
2019-08-31 1,521.9038 MMK
2019-07-31 1,508.4042 MMK
2019-06-30 1,516.3500 MMK
2019-05-31 1,529.5504 MMK
2019-04-30 1,521.6036 MMK
2019-03-31 1,513.5040 MMK
2019-02-28 1,504.8501 MMK
2019-01-31 1,524.5496 MMK
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”),1,475.678,1,475.68],[new Date(“2019-11-30”),1,504.517,1,504.52],[new Date(“2019-10-31”),1,525.281,1,525.28],[new Date(“2019-09-30”),1,535.101,1,535.10],[new Date(“2019-08-31”),1,521.904,1,521.90],[new Date(“2019-07-31”),1,508.404,1,508.40],[new Date(“2019-06-30”),1,516.350,1,516.35],[new Date(“2019-05-31”),1,529.550,1,529.55],[new Date(“2019-04-30”),1,521.604,1,521.60],[new Date(“2019-03-31”),1,513.504,1,513.50],[new Date(“2019-02-28”),1,504.850,1,504.85],[new Date(“2019-01-31”),1,524.550,1,524.55],]);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, 2019

01      1,504.5173
02      1,506.8765
↘2.359, 0.16%
03      1,503.9728
↗2.904, 0.19%
04      1,499.2347
↗4.738, 0.32%
05      1,499.4728
↘0.238, 0.02%
06      1,502.2770
↘2.804, 0.19%
07      1,502.2770
→0.000, 0.00%
08      1,502.2770
↗0.000, 0.00%
09      1,503.4322
↘1.155, 0.08%
10      1,507.3876
↘3.955, 0.26%
11      1,512.3821
↘4.994, 0.33%
12      1,513.9320
↘1.550, 0.10%
13      1,509.1152
↗4.817, 0.32%
14      1,509.1152
→0.000, 0.00%
15      1,509.1152
↗0.000, 0.00%
16      1,507.0136
↗2.102, 0.14%
17      1,506.2215
↗0.792, 0.05%
18      1,505.0609
↗1.161, 0.08%
19      1,499.3128
↗5.748, 0.38%
20      1,498.2434
↗1.069, 0.07%
21      1,498.2434
→0.000, 0.00%
22      1,498.2434
↗0.000, 0.00%
23      1,495.0944
↗3.149, 0.21%
24      1,492.4933
↗2.601, 0.17%
25      1,490.9786
↗1.515, 0.10%
26      1,490.4139
↗0.565, 0.04%
27      1,485.9333
↗4.481, 0.30%
28      1,485.9333
→0.000, 0.00%
29      1,485.9333
↗0.000, 0.00%
30      1,476.1188
↗9.814, 0.66%
31      1,475.6780
↗0.441, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-12-01”),1,504.517,1,504.52],[new Date(“2019-12-02”),1,506.877,1,506.88],[new Date(“2019-12-03”),1,503.973,1,503.97],[new Date(“2019-12-04”),1,499.235,1,499.23],[new Date(“2019-12-05”),1,499.473,1,499.47],[new Date(“2019-12-06”),1,502.277,1,502.28],[new Date(“2019-12-07”),1,502.277,1,502.28],[new Date(“2019-12-08”),1,502.277,1,502.28],[new Date(“2019-12-09”),1,503.432,1,503.43],[new Date(“2019-12-10”),1,507.388,1,507.39],[new Date(“2019-12-11”),1,512.382,1,512.38],[new Date(“2019-12-12”),1,513.932,1,513.93],[new Date(“2019-12-13”),1,509.115,1,509.12],[new Date(“2019-12-14”),1,509.115,1,509.12],[new Date(“2019-12-15”),1,509.115,1,509.12],[new Date(“2019-12-16”),1,507.014,1,507.01],[new Date(“2019-12-17”),1,506.222,1,506.22],[new Date(“2019-12-18”),1,505.061,1,505.06],[new Date(“2019-12-19”),1,499.313,1,499.31],[new Date(“2019-12-20”),1,498.243,1,498.24],[new Date(“2019-12-21”),1,498.243,1,498.24],[new Date(“2019-12-22”),1,498.243,1,498.24],[new Date(“2019-12-23”),1,495.094,1,495.09],[new Date(“2019-12-24”),1,492.493,1,492.49],[new Date(“2019-12-25”),1,490.979,1,490.98],[new Date(“2019-12-26”),1,490.414,1,490.41],[new Date(“2019-12-27”),1,485.933,1,485.93],[new Date(“2019-12-28”),1,485.933,1,485.93],[new Date(“2019-12-29”),1,485.933,1,485.93],[new Date(“2019-12-30”),1,476.119,1,476.12],[new Date(“2019-12-31″),1,475.678,1,475.68],]);var options = {
hAxis: {
title: ‘Date’
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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, 2019

01      1,521.9863
02      1,521.9863
→0.000, 0.00%
03      1,521.9863
↗0.000, 0.00%
04      1,513.2832
↗8.703, 0.57%
05      1,511.6021
↗1.681, 0.11%
06      1,517.5030
↘5.901, 0.39%
07      1,518.8564
↘1.353, 0.09%
08      1,516.7436
↗2.113, 0.14%
09      1,516.7436
→0.000, 0.00%
10      1,516.7436
↗0.000, 0.00%
11      1,516.0152
↗0.728, 0.05%
12      1,517.8789
↘1.864, 0.12%
13      1,519.5314
↘1.652, 0.11%
14      1,515.8551
↗3.676, 0.24%
15      1,514.7677
↗1.087, 0.07%
16      1,511.8550
↗2.913, 0.19%
17      1,511.8550
↗0.000, 0.00%
18      1,516.5822
↘4.727, 0.31%
19      1,515.7879
↗0.794, 0.05%
20      1,516.3834
↘0.596, 0.04%
21      1,516.7326
↘0.349, 0.02%
22      1,515.3220
↗1.411, 0.09%
23      1,515.3220
→0.000, 0.00%
24      1,515.3220
↗0.000, 0.00%
25      1,514.9794
↗0.343, 0.02%
26      1,512.9657
↗2.014, 0.13%
27      1,509.8087
↗3.157, 0.21%
28      1,506.5822
↗3.226, 0.21%
29      1,507.1162
↘0.534, 0.04%
30      1,504.5173
↗2.599, 0.17%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-11-01”),1,521.986,1,521.99],[new Date(“2019-11-02”),1,521.986,1,521.99],[new Date(“2019-11-03”),1,521.986,1,521.99],[new Date(“2019-11-04”),1,513.283,1,513.28],[new Date(“2019-11-05”),1,511.602,1,511.60],[new Date(“2019-11-06”),1,517.503,1,517.50],[new Date(“2019-11-07”),1,518.856,1,518.86],[new Date(“2019-11-08”),1,516.744,1,516.74],[new Date(“2019-11-09”),1,516.744,1,516.74],[new Date(“2019-11-10”),1,516.744,1,516.74],[new Date(“2019-11-11”),1,516.015,1,516.02],[new Date(“2019-11-12”),1,517.879,1,517.88],[new Date(“2019-11-13”),1,519.531,1,519.53],[new Date(“2019-11-14”),1,515.855,1,515.86],[new Date(“2019-11-15”),1,514.768,1,514.77],[new Date(“2019-11-16”),1,511.855,1,511.86],[new Date(“2019-11-17”),1,511.855,1,511.85],[new Date(“2019-11-18”),1,516.582,1,516.58],[new Date(“2019-11-19”),1,515.788,1,515.79],[new Date(“2019-11-20”),1,516.383,1,516.38],[new Date(“2019-11-21”),1,516.733,1,516.73],[new Date(“2019-11-22”),1,515.322,1,515.32],[new Date(“2019-11-23”),1,515.322,1,515.32],[new Date(“2019-11-24”),1,515.322,1,515.32],[new Date(“2019-11-25”),1,514.979,1,514.98],[new Date(“2019-11-26”),1,512.966,1,512.97],[new Date(“2019-11-27”),1,509.809,1,509.81],[new Date(“2019-11-28”),1,506.582,1,506.58],[new Date(“2019-11-29”),1,507.116,1,507.12],[new Date(“2019-11-30″),1,504.517,1,504.52],]);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, 2019

01      1,527.4192
02      1,526.9505
↗0.469, 0.03%
03      1,529.9499
↘2.999, 0.20%
04      1,533.7504
↘3.800, 0.25%
05      1,534.2504
↘0.500, 0.03%
06      1,534.2497
↗0.001, 0.00%
07      1,531.3501
↗2.900, 0.19%
08      1,520.4499
↗10.900, 0.71%
09      1,520.1502
↗0.300, 0.02%
10      1,530.5500
↘10.400, 0.68%
11      1,529.9504
↗0.600, 0.04%
12      1,529.9504
→0.000, 0.00%
13      1,530.5277
↘0.577, 0.04%
14      1,530.9303
↘0.403, 0.03%
15      1,530.9934
↘0.063, 0.00%
16      1,531.2153
↘0.222, 0.01%
17      1,531.8352
↘0.620, 0.04%
18      1,532.1377
↘0.303, 0.02%
19      1,532.1377
→0.000, 0.00%
20      1,532.1377
↘0.000, 0.00%
21      1,532.3765
↘0.239, 0.02%
22      1,534.6309
↘2.254, 0.15%
23      1,534.7444
↘0.113, 0.01%
24      1,533.5827
↗1.162, 0.08%
25      1,531.3104
↗2.272, 0.15%
26      1,531.3104
→0.000, 0.00%
27      1,531.3100
↗0.000, 0.00%
28      1,530.5862
↗0.724, 0.05%
29      1,528.6207
↗1.966, 0.13%
30      1,529.1788
↘0.558, 0.04%
31      1,525.2811
↗3.898, 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(“2019-10-01”),1,527.419,1,527.42],[new Date(“2019-10-02”),1,526.950,1,526.95],[new Date(“2019-10-03”),1,529.950,1,529.95],[new Date(“2019-10-04”),1,533.750,1,533.75],[new Date(“2019-10-05”),1,534.250,1,534.25],[new Date(“2019-10-06”),1,534.250,1,534.25],[new Date(“2019-10-07”),1,531.350,1,531.35],[new Date(“2019-10-08”),1,520.450,1,520.45],[new Date(“2019-10-09”),1,520.150,1,520.15],[new Date(“2019-10-10”),1,530.550,1,530.55],[new Date(“2019-10-11”),1,529.950,1,529.95],[new Date(“2019-10-12”),1,529.950,1,529.95],[new Date(“2019-10-13”),1,530.528,1,530.53],[new Date(“2019-10-14”),1,530.930,1,530.93],[new Date(“2019-10-15”),1,530.993,1,530.99],[new Date(“2019-10-16”),1,531.215,1,531.22],[new Date(“2019-10-17”),1,531.835,1,531.84],[new Date(“2019-10-18”),1,532.138,1,532.14],[new Date(“2019-10-19”),1,532.138,1,532.14],[new Date(“2019-10-20”),1,532.138,1,532.14],[new Date(“2019-10-21”),1,532.376,1,532.38],[new Date(“2019-10-22”),1,534.631,1,534.63],[new Date(“2019-10-23”),1,534.744,1,534.74],[new Date(“2019-10-24”),1,533.583,1,533.58],[new Date(“2019-10-25”),1,531.310,1,531.31],[new Date(“2019-10-26”),1,531.310,1,531.31],[new Date(“2019-10-27”),1,531.310,1,531.31],[new Date(“2019-10-28”),1,530.586,1,530.59],[new Date(“2019-10-29”),1,528.621,1,528.62],[new Date(“2019-10-30”),1,529.179,1,529.18],[new Date(“2019-10-31″),1,525.281,1,525.28],]);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_10’));
chart.draw(data, options);
}

September, 2019

01      1,521.8948
02      1,522.9501
↘1.055, 0.07%
03      1,527.5065
↘4.556, 0.30%
04      1,531.4497
↘3.943, 0.26%
05      1,540.3004
↘8.851, 0.58%
06      1,525.8504
↗14.450, 0.94%
07      1,510.9504
↗14.900, 0.98%
08      1,510.9498
↗0.001, 0.00%
09      1,532.0502
↘21.100, 1.40%
10      1,526.4503
↗5.600, 0.37%
11      1,528.6978
↘2.247, 0.15%
12      1,529.4502
↘0.752, 0.05%
13      1,529.0504
↗0.400, 0.03%
14      1,529.0504
→0.000, 0.00%
15      1,529.0498
↗0.001, 0.00%
16      1,519.9499
↗9.100, 0.60%
17      1,533.6500
↘13.700, 0.90%
18      1,535.3006
↘1.651, 0.11%
19      1,534.8073
↗0.493, 0.03%
20      1,532.8504
↗1.957, 0.13%
21      1,532.8504
→0.000, 0.00%
22      1,532.8498
↗0.001, 0.00%
23      1,520.2503
↗12.600, 0.82%
24      1,532.3023
↘12.052, 0.79%
25      1,531.7501
↗0.552, 0.04%
26      1,530.4991
↗1.251, 0.08%
27      1,532.0003
↘1.501, 0.10%
28      1,531.7504
↗0.250, 0.02%
29      1,531.7495
↗0.001, 0.00%
30      1,535.1012
↘3.352, 0.22%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-09-01”),1,521.895,1,521.89],[new Date(“2019-09-02”),1,522.950,1,522.95],[new Date(“2019-09-03”),1,527.506,1,527.51],[new Date(“2019-09-04”),1,531.450,1,531.45],[new Date(“2019-09-05”),1,540.300,1,540.30],[new Date(“2019-09-06”),1,525.850,1,525.85],[new Date(“2019-09-07”),1,510.950,1,510.95],[new Date(“2019-09-08”),1,510.950,1,510.95],[new Date(“2019-09-09”),1,532.050,1,532.05],[new Date(“2019-09-10”),1,526.450,1,526.45],[new Date(“2019-09-11”),1,528.698,1,528.70],[new Date(“2019-09-12”),1,529.450,1,529.45],[new Date(“2019-09-13”),1,529.050,1,529.05],[new Date(“2019-09-14”),1,529.050,1,529.05],[new Date(“2019-09-15”),1,529.050,1,529.05],[new Date(“2019-09-16”),1,519.950,1,519.95],[new Date(“2019-09-17”),1,533.650,1,533.65],[new Date(“2019-09-18”),1,535.301,1,535.30],[new Date(“2019-09-19”),1,534.807,1,534.81],[new Date(“2019-09-20”),1,532.850,1,532.85],[new Date(“2019-09-21”),1,532.850,1,532.85],[new Date(“2019-09-22”),1,532.850,1,532.85],[new Date(“2019-09-23”),1,520.250,1,520.25],[new Date(“2019-09-24”),1,532.302,1,532.30],[new Date(“2019-09-25”),1,531.750,1,531.75],[new Date(“2019-09-26”),1,530.499,1,530.50],[new Date(“2019-09-27”),1,532.000,1,532.00],[new Date(“2019-09-28”),1,531.750,1,531.75],[new Date(“2019-09-29”),1,531.750,1,531.75],[new Date(“2019-09-30″),1,535.101,1,535.10],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}

August, 2019

01      1,512.8502
02      1,512.2504
↗0.600, 0.04%
03      1,512.2504
→0.000, 0.00%
04      1,512.2500
↗0.000, 0.00%
05      1,515.0984
↘2.848, 0.19%
06      1,510.7502
↗4.348, 0.29%
07      1,508.5497
↗2.200, 0.15%
08      1,509.2506
↘0.701, 0.05%
09      1,510.5504
↘1.300, 0.09%
10      1,510.5504
→0.000, 0.00%
11      1,510.5503
↗0.000, 0.00%
12      1,510.3499
↗0.200, 0.01%
13      1,510.5984
↘0.249, 0.02%
14      1,513.3500
↘2.752, 0.18%
15      1,516.7503
↘3.400, 0.22%
16      1,518.5504
↘1.800, 0.12%
17      1,518.5504
→0.000, 0.00%
18      1,518.5496
↗0.001, 0.00%
19      1,523.8033
↘5.254, 0.35%
20      1,523.6498
↗0.154, 0.01%
21      1,521.7956
↗1.854, 0.12%
22      1,520.9504
↗0.845, 0.06%
23      1,519.0003
↗1.950, 0.13%
24      1,493.9038
↗25.097, 1.65%
25      1,493.9026
↗0.001, 0.00%
26      1,516.6726
↘22.770, 1.52%
27      1,518.5113
↘1.839, 0.12%
28      1,520.7500
↘2.239, 0.15%
29      1,521.7838
↘1.034, 0.07%
30      1,521.9038
↘0.120, 0.01%
31      1,521.9038
→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(“2019-08-01”),1,512.850,1,512.85],[new Date(“2019-08-02”),1,512.250,1,512.25],[new Date(“2019-08-03”),1,512.250,1,512.25],[new Date(“2019-08-04”),1,512.250,1,512.25],[new Date(“2019-08-05”),1,515.098,1,515.10],[new Date(“2019-08-06”),1,510.750,1,510.75],[new Date(“2019-08-07”),1,508.550,1,508.55],[new Date(“2019-08-08”),1,509.251,1,509.25],[new Date(“2019-08-09”),1,510.550,1,510.55],[new Date(“2019-08-10”),1,510.550,1,510.55],[new Date(“2019-08-11”),1,510.550,1,510.55],[new Date(“2019-08-12”),1,510.350,1,510.35],[new Date(“2019-08-13”),1,510.598,1,510.60],[new Date(“2019-08-14”),1,513.350,1,513.35],[new Date(“2019-08-15”),1,516.750,1,516.75],[new Date(“2019-08-16”),1,518.550,1,518.55],[new Date(“2019-08-17”),1,518.550,1,518.55],[new Date(“2019-08-18”),1,518.550,1,518.55],[new Date(“2019-08-19”),1,523.803,1,523.80],[new Date(“2019-08-20”),1,523.650,1,523.65],[new Date(“2019-08-21”),1,521.796,1,521.80],[new Date(“2019-08-22”),1,520.950,1,520.95],[new Date(“2019-08-23”),1,519.000,1,519.00],[new Date(“2019-08-24”),1,493.904,1,493.90],[new Date(“2019-08-25”),1,493.903,1,493.90],[new Date(“2019-08-26”),1,516.673,1,516.67],[new Date(“2019-08-27”),1,518.511,1,518.51],[new Date(“2019-08-28”),1,520.750,1,520.75],[new Date(“2019-08-29”),1,521.784,1,521.78],[new Date(“2019-08-30”),1,521.904,1,521.90],[new Date(“2019-08-31″),1,521.904,1,521.90],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2019

01      1,520.6499
02      1,515.6958
↗4.954, 0.33%
03      1,511.3982
↗4.298, 0.28%
04      1,506.7027
↗4.695, 0.31%
05      1,504.5038
↗2.199, 0.15%
06      1,504.5038
→0.000, 0.00%
07      1,504.4978
↗0.006, 0.00%
08      1,507.9504
↘3.453, 0.23%
09      1,508.6498
↘0.699, 0.05%
10      1,512.4497
↘3.800, 0.25%
11      1,511.8999
↗0.550, 0.04%
12      1,510.7504
↗1.149, 0.08%
13      1,510.7504
→0.000, 0.00%
14      1,510.7497
↗0.001, 0.00%
15      1,511.2000
↘0.450, 0.03%
16      1,511.2498
↘0.050, 0.00%
17      1,514.6496
↘3.400, 0.22%
18      1,516.8502
↘2.201, 0.15%
19      1,517.1038
↘0.254, 0.02%
20      1,517.7038
↘0.600, 0.04%
21      1,517.6777
↗0.026, 0.00%
22      1,518.1038
↘0.426, 0.03%
23      1,510.5502
↗7.554, 0.50%
24      1,512.3504
↘1.800, 0.12%
25      1,512.0499
↗0.300, 0.02%
26      1,509.8504
↗2.200, 0.15%
27      1,509.8504
→0.000, 0.00%
28      1,509.8501
↗0.000, 0.00%
29      1,508.3505
↗1.500, 0.10%
30      1,508.3501
↗0.000, 0.00%
31      1,508.4042
↘0.054, 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(“2019-07-01”),1,520.650,1,520.65],[new Date(“2019-07-02”),1,515.696,1,515.70],[new Date(“2019-07-03”),1,511.398,1,511.40],[new Date(“2019-07-04”),1,506.703,1,506.70],[new Date(“2019-07-05”),1,504.504,1,504.50],[new Date(“2019-07-06”),1,504.504,1,504.50],[new Date(“2019-07-07”),1,504.498,1,504.50],[new Date(“2019-07-08”),1,507.950,1,507.95],[new Date(“2019-07-09”),1,508.650,1,508.65],[new Date(“2019-07-10”),1,512.450,1,512.45],[new Date(“2019-07-11”),1,511.900,1,511.90],[new Date(“2019-07-12”),1,510.750,1,510.75],[new Date(“2019-07-13”),1,510.750,1,510.75],[new Date(“2019-07-14”),1,510.750,1,510.75],[new Date(“2019-07-15”),1,511.200,1,511.20],[new Date(“2019-07-16”),1,511.250,1,511.25],[new Date(“2019-07-17”),1,514.650,1,514.65],[new Date(“2019-07-18”),1,516.850,1,516.85],[new Date(“2019-07-19”),1,517.104,1,517.10],[new Date(“2019-07-20”),1,517.704,1,517.70],[new Date(“2019-07-21”),1,517.678,1,517.68],[new Date(“2019-07-22”),1,518.104,1,518.10],[new Date(“2019-07-23”),1,510.550,1,510.55],[new Date(“2019-07-24”),1,512.350,1,512.35],[new Date(“2019-07-25”),1,512.050,1,512.05],[new Date(“2019-07-26”),1,509.850,1,509.85],[new Date(“2019-07-27”),1,509.850,1,509.85],[new Date(“2019-07-28”),1,509.850,1,509.85],[new Date(“2019-07-29”),1,508.351,1,508.35],[new Date(“2019-07-30”),1,508.350,1,508.35],[new Date(“2019-07-31″),1,508.404,1,508.40],]);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_7’));
chart.draw(data, options);
}

June, 2019

01      1,529.5504
02      1,521.8874
↗7.663, 0.50%
03      1,527.5000
↘5.613, 0.37%
04      1,527.2498
↗0.250, 0.02%
05      1,529.8501
↘2.600, 0.17%
06      1,526.8503
↗3.000, 0.20%
07      1,523.1504
↗3.700, 0.24%
08      1,523.1504
→0.000, 0.00%
09      1,523.1499
↗0.000, 0.00%
10      1,527.3909
↘4.241, 0.28%
11      1,526.4500
↗0.941, 0.06%
12      1,530.9996
↘4.550, 0.30%
13      1,526.6041
↗4.395, 0.29%
14      1,527.1504
↘0.546, 0.04%
15      1,529.6038
↘2.453, 0.16%
16      1,529.5885
↗0.015, 0.00%
17      1,529.9999
↘0.411, 0.03%
18      1,531.0497
↘1.050, 0.07%
19      1,528.2011
↗2.849, 0.19%
20      1,522.0498
↗6.151, 0.40%
21      1,515.5038
↗6.546, 0.43%
22      1,515.5038
→0.000, 0.00%
23      1,515.4934
↗0.010, 0.00%
24      1,519.8969
↘4.404, 0.29%
25      1,514.7499
↗5.147, 0.34%
26      1,518.1499
↘3.400, 0.22%
27      1,517.9497
↗0.200, 0.01%
28      1,516.3504
↗1.599, 0.11%
29      1,516.3504
→0.000, 0.00%
30      1,516.3500
↗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(“2019-06-01”),1,529.550,1,529.55],[new Date(“2019-06-02”),1,521.887,1,521.89],[new Date(“2019-06-03”),1,527.500,1,527.50],[new Date(“2019-06-04”),1,527.250,1,527.25],[new Date(“2019-06-05”),1,529.850,1,529.85],[new Date(“2019-06-06”),1,526.850,1,526.85],[new Date(“2019-06-07”),1,523.150,1,523.15],[new Date(“2019-06-08”),1,523.150,1,523.15],[new Date(“2019-06-09”),1,523.150,1,523.15],[new Date(“2019-06-10”),1,527.391,1,527.39],[new Date(“2019-06-11”),1,526.450,1,526.45],[new Date(“2019-06-12”),1,531.000,1,531.00],[new Date(“2019-06-13”),1,526.604,1,526.60],[new Date(“2019-06-14”),1,527.150,1,527.15],[new Date(“2019-06-15”),1,529.604,1,529.60],[new Date(“2019-06-16”),1,529.588,1,529.59],[new Date(“2019-06-17”),1,530.000,1,530.00],[new Date(“2019-06-18”),1,531.050,1,531.05],[new Date(“2019-06-19”),1,528.201,1,528.20],[new Date(“2019-06-20”),1,522.050,1,522.05],[new Date(“2019-06-21”),1,515.504,1,515.50],[new Date(“2019-06-22”),1,515.504,1,515.50],[new Date(“2019-06-23”),1,515.493,1,515.49],[new Date(“2019-06-24”),1,519.897,1,519.90],[new Date(“2019-06-25”),1,514.750,1,514.75],[new Date(“2019-06-26”),1,518.150,1,518.15],[new Date(“2019-06-27”),1,517.950,1,517.95],[new Date(“2019-06-28”),1,516.350,1,516.35],[new Date(“2019-06-29”),1,516.350,1,516.35],[new Date(“2019-06-30″),1,516.350,1,516.35],]);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      1,520.7505
02      1,517.3953
↗3.355, 0.22%
03      1,521.0504
↘3.655, 0.24%
04      1,521.0504
→0.000, 0.00%
05      1,521.0504
↗0.000, 0.00%
06      1,524.3502
↘3.300, 0.22%
07      1,524.0003
↗0.350, 0.02%
08      1,526.0498
↘2.050, 0.13%
09      1,528.8499
↘2.800, 0.18%
10      1,532.4038
↘3.554, 0.23%
11      1,532.4038
→0.000, 0.00%
12      1,532.3937
↗0.010, 0.00%
13      1,537.5505
↘5.157, 0.34%
14      1,541.4501
↘3.900, 0.25%
15      1,541.2503
↗0.200, 0.01%
16      1,538.7499
↗2.500, 0.16%
17      1,535.5038
↗3.246, 0.21%
18      1,535.5038
→0.000, 0.00%
19      1,535.4974
↗0.006, 0.00%
20      1,535.2972
↗0.200, 0.01%
21      1,539.5497
↘4.252, 0.28%
22      1,540.6969
↘1.147, 0.07%
23      1,538.5502
↗2.147, 0.14%
24      1,536.8504
↗1.700, 0.11%
25      1,534.2038
↗2.647, 0.17%
26      1,534.2020
↗0.002, 0.00%
27      1,527.4500
↗6.752, 0.44%
28      1,537.8344
↘10.384, 0.68%
29      1,535.3501
↗2.484, 0.16%
30      1,527.1497
↗8.200, 0.53%
31      1,529.5504
↘2.401, 0.16%
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”),1,520.750,1,520.75],[new Date(“2019-05-02”),1,517.395,1,517.40],[new Date(“2019-05-03”),1,521.050,1,521.05],[new Date(“2019-05-04”),1,521.050,1,521.05],[new Date(“2019-05-05”),1,521.050,1,521.05],[new Date(“2019-05-06”),1,524.350,1,524.35],[new Date(“2019-05-07”),1,524.000,1,524.00],[new Date(“2019-05-08”),1,526.050,1,526.05],[new Date(“2019-05-09”),1,528.850,1,528.85],[new Date(“2019-05-10”),1,532.404,1,532.40],[new Date(“2019-05-11”),1,532.404,1,532.40],[new Date(“2019-05-12”),1,532.394,1,532.39],[new Date(“2019-05-13”),1,537.550,1,537.55],[new Date(“2019-05-14”),1,541.450,1,541.45],[new Date(“2019-05-15”),1,541.250,1,541.25],[new Date(“2019-05-16”),1,538.750,1,538.75],[new Date(“2019-05-17”),1,535.504,1,535.50],[new Date(“2019-05-18”),1,535.504,1,535.50],[new Date(“2019-05-19”),1,535.497,1,535.50],[new Date(“2019-05-20”),1,535.297,1,535.30],[new Date(“2019-05-21”),1,539.550,1,539.55],[new Date(“2019-05-22”),1,540.697,1,540.70],[new Date(“2019-05-23”),1,538.550,1,538.55],[new Date(“2019-05-24”),1,536.850,1,536.85],[new Date(“2019-05-25”),1,534.204,1,534.20],[new Date(“2019-05-26”),1,534.202,1,534.20],[new Date(“2019-05-27”),1,527.450,1,527.45],[new Date(“2019-05-28”),1,537.834,1,537.83],[new Date(“2019-05-29”),1,535.350,1,535.35],[new Date(“2019-05-30”),1,527.150,1,527.15],[new Date(“2019-05-31″),1,529.550,1,529.55],]);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      1,513.5024
02      1,510.3989
↗3.104, 0.21%
03      1,507.5494
↗2.849, 0.19%
04      1,506.0005
↗1.549, 0.10%
05      1,505.6038
↗0.397, 0.03%
06      1,505.6038
→0.000, 0.00%
07      1,505.5960
↗0.008, 0.00%
08      1,507.3024
↘1.706, 0.11%
09      1,504.3001
↗3.002, 0.20%
10      1,510.0987
↘5.799, 0.39%
11      1,517.8499
↘7.751, 0.51%
12      1,516.3504
↗1.500, 0.10%
13      1,516.1504
↗0.200, 0.01%
14      1,516.1497
↗0.001, 0.00%
15      1,516.8499
↘0.700, 0.05%
16      1,517.1499
↘0.300, 0.02%
17      1,517.3504
↘0.201, 0.01%
18      1,520.7501
↘3.400, 0.22%
19      1,522.9038
↘2.154, 0.14%
20      1,522.9038
→0.000, 0.00%
21      1,522.8958
↗0.008, 0.00%
22      1,521.8502
↗1.046, 0.07%
23      1,534.7503
↘12.900, 0.85%
24      1,529.3957
↗5.355, 0.35%
25      1,523.9501
↗5.446, 0.36%
26      1,524.3504
↘0.400, 0.03%
27      1,520.4038
↗3.947, 0.26%
28      1,520.4048
↘0.001, 0.00%
29      1,523.3977
↘2.993, 0.20%
30      1,521.6036
↗1.794, 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(“2019-04-01”),1,513.502,1,513.50],[new Date(“2019-04-02”),1,510.399,1,510.40],[new Date(“2019-04-03”),1,507.549,1,507.55],[new Date(“2019-04-04”),1,506.000,1,506.00],[new Date(“2019-04-05”),1,505.604,1,505.60],[new Date(“2019-04-06”),1,505.604,1,505.60],[new Date(“2019-04-07”),1,505.596,1,505.60],[new Date(“2019-04-08”),1,507.302,1,507.30],[new Date(“2019-04-09”),1,504.300,1,504.30],[new Date(“2019-04-10”),1,510.099,1,510.10],[new Date(“2019-04-11”),1,517.850,1,517.85],[new Date(“2019-04-12”),1,516.350,1,516.35],[new Date(“2019-04-13”),1,516.150,1,516.15],[new Date(“2019-04-14”),1,516.150,1,516.15],[new Date(“2019-04-15”),1,516.850,1,516.85],[new Date(“2019-04-16”),1,517.150,1,517.15],[new Date(“2019-04-17”),1,517.350,1,517.35],[new Date(“2019-04-18”),1,520.750,1,520.75],[new Date(“2019-04-19”),1,522.904,1,522.90],[new Date(“2019-04-20”),1,522.904,1,522.90],[new Date(“2019-04-21”),1,522.896,1,522.90],[new Date(“2019-04-22”),1,521.850,1,521.85],[new Date(“2019-04-23”),1,534.750,1,534.75],[new Date(“2019-04-24”),1,529.396,1,529.40],[new Date(“2019-04-25”),1,523.950,1,523.95],[new Date(“2019-04-26”),1,524.350,1,524.35],[new Date(“2019-04-27”),1,520.404,1,520.40],[new Date(“2019-04-28”),1,520.405,1,520.40],[new Date(“2019-04-29”),1,523.398,1,523.40],[new Date(“2019-04-30″),1,521.604,1,521.60],]);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      1,512.9038
02      1,512.9038
→0.000, 0.00%
03      1,512.8980
↗0.006, 0.00%
04      1,519.5025
↘6.605, 0.44%
05      1,519.1987
↗0.304, 0.02%
06      1,515.6503
↗3.548, 0.23%
07      1,517.9502
↘2.300, 0.15%
08      1,519.9038
↘1.954, 0.13%
09      1,519.9038
→0.000, 0.00%
10      1,516.7142
↗3.190, 0.21%
11      1,520.1999
↘3.486, 0.23%
12      1,518.4501
↗1.750, 0.12%
13      1,520.7499
↘2.300, 0.15%
14      1,531.3026
↘10.553, 0.69%
15      1,533.1504
↘1.848, 0.12%
16      1,533.1504
→0.000, 0.00%
17      1,533.1498
↗0.001, 0.00%
18      1,540.3955
↘7.246, 0.47%
19      1,541.3039
↘0.908, 0.06%
20      1,540.8495
↗0.454, 0.03%
21      1,530.3716
↗10.478, 0.68%
22      1,522.6038
↗7.768, 0.51%
23      1,519.6504
↗2.953, 0.19%
24      1,519.6499
↗0.001, 0.00%
25      1,521.9497
↘2.300, 0.15%
26      1,520.4498
↗1.500, 0.10%
27      1,520.7419
↘0.292, 0.02%
28      1,520.5955
↗0.146, 0.01%
29      1,513.5038
↗7.092, 0.47%
30      1,513.5038
→0.000, 0.00%
31      1,513.5040
↘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(“2019-03-01”),1,512.904,1,512.90],[new Date(“2019-03-02”),1,512.904,1,512.90],[new Date(“2019-03-03”),1,512.898,1,512.90],[new Date(“2019-03-04”),1,519.503,1,519.50],[new Date(“2019-03-05”),1,519.199,1,519.20],[new Date(“2019-03-06”),1,515.650,1,515.65],[new Date(“2019-03-07”),1,517.950,1,517.95],[new Date(“2019-03-08”),1,519.904,1,519.90],[new Date(“2019-03-09”),1,519.904,1,519.90],[new Date(“2019-03-10”),1,516.714,1,516.71],[new Date(“2019-03-11”),1,520.200,1,520.20],[new Date(“2019-03-12”),1,518.450,1,518.45],[new Date(“2019-03-13”),1,520.750,1,520.75],[new Date(“2019-03-14”),1,531.303,1,531.30],[new Date(“2019-03-15”),1,533.150,1,533.15],[new Date(“2019-03-16”),1,533.150,1,533.15],[new Date(“2019-03-17”),1,533.150,1,533.15],[new Date(“2019-03-18”),1,540.395,1,540.40],[new Date(“2019-03-19”),1,541.304,1,541.30],[new Date(“2019-03-20”),1,540.850,1,540.85],[new Date(“2019-03-21”),1,530.372,1,530.37],[new Date(“2019-03-22”),1,522.604,1,522.60],[new Date(“2019-03-23”),1,519.650,1,519.65],[new Date(“2019-03-24”),1,519.650,1,519.65],[new Date(“2019-03-25”),1,521.950,1,521.95],[new Date(“2019-03-26”),1,520.450,1,520.45],[new Date(“2019-03-27”),1,520.742,1,520.74],[new Date(“2019-03-28”),1,520.595,1,520.60],[new Date(“2019-03-29”),1,513.504,1,513.50],[new Date(“2019-03-30”),1,513.504,1,513.50],[new Date(“2019-03-31″),1,513.504,1,513.50],]);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      1,512.9038
02      1,512.9038
→0.000, 0.00%
03      1,512.9010
↗0.003, 0.00%
04      1,519.4968
↘6.596, 0.44%
05      1,522.5856
↘3.089, 0.20%
06      1,521.7962
↗0.789, 0.05%
07      1,530.6964
↘8.900, 0.58%
08      1,539.0003
↘8.304, 0.54%
09      1,539.5038
↘0.503, 0.03%
10      1,539.4962
↗0.008, 0.00%
11      1,539.6048
↘0.109, 0.01%
12      1,539.1912
↗0.414, 0.03%
13      1,550.7499
↘11.559, 0.75%
14      1,532.7016
↗18.048, 1.16%
15      1,531.0003
↗1.701, 0.11%
16      1,531.0003
→0.000, 0.00%
17      1,531.0001
↗0.000, 0.00%
18      1,529.1034
↗1.897, 0.12%
19      1,532.0003
↘2.897, 0.19%
20      1,542.3051
↘10.305, 0.67%
21      1,531.0003
↗11.305, 0.73%
22      1,528.6038
↗2.397, 0.16%
23      1,528.1038
↗0.500, 0.03%
24      1,528.1004
↗0.003, 0.00%
25      1,525.6501
↗2.450, 0.16%
26      1,520.6018
↗5.048, 0.33%
27      1,533.6006
↘12.999, 0.85%
28      1,504.8501
↗28.751, 1.87%
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(“2019-02-01”),1,512.904,1,512.90],[new Date(“2019-02-02”),1,512.904,1,512.90],[new Date(“2019-02-03”),1,512.901,1,512.90],[new Date(“2019-02-04”),1,519.497,1,519.50],[new Date(“2019-02-05”),1,522.586,1,522.59],[new Date(“2019-02-06”),1,521.796,1,521.80],[new Date(“2019-02-07”),1,530.696,1,530.70],[new Date(“2019-02-08”),1,539.000,1,539.00],[new Date(“2019-02-09”),1,539.504,1,539.50],[new Date(“2019-02-10”),1,539.496,1,539.50],[new Date(“2019-02-11”),1,539.605,1,539.60],[new Date(“2019-02-12”),1,539.191,1,539.19],[new Date(“2019-02-13”),1,550.750,1,550.75],[new Date(“2019-02-14”),1,532.702,1,532.70],[new Date(“2019-02-15”),1,531.000,1,531.00],[new Date(“2019-02-16”),1,531.000,1,531.00],[new Date(“2019-02-17”),1,531.000,1,531.00],[new Date(“2019-02-18”),1,529.103,1,529.10],[new Date(“2019-02-19”),1,532.000,1,532.00],[new Date(“2019-02-20”),1,542.305,1,542.31],[new Date(“2019-02-21”),1,531.000,1,531.00],[new Date(“2019-02-22”),1,528.604,1,528.60],[new Date(“2019-02-23”),1,528.104,1,528.10],[new Date(“2019-02-24”),1,528.100,1,528.10],[new Date(“2019-02-25”),1,525.650,1,525.65],[new Date(“2019-02-26”),1,520.602,1,520.60],[new Date(“2019-02-27”),1,533.601,1,533.60],[new Date(“2019-02-28″),1,504.850,1,504.85],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2019

01      1,541.2503
02      1,545.2501
↘4.000, 0.26%
03      1,544.1945
↗1.056, 0.07%
04      1,544.8038
↘0.609, 0.04%
05      1,544.8038
→0.000, 0.00%
06      1,544.7821
↗0.022, 0.00%
07      1,541.4496
↗3.332, 0.22%
08      1,537.2014
↗4.248, 0.28%
09      1,535.9997
↗1.202, 0.08%
10      1,530.5009
↗5.499, 0.36%
11      1,526.4038
↗4.097, 0.27%
12      1,526.4038
→0.000, 0.00%
13      1,526.3996
↗0.004, 0.00%
14      1,519.9504
↗6.449, 0.42%
15      1,519.1500
↗0.800, 0.05%
16      1,525.6995
↘6.550, 0.43%
17      1,541.6988
↘15.999, 1.05%
18      1,538.0003
↗3.698, 0.24%
19      1,538.0003
→0.000, 0.00%
20      1,537.9999
↗0.000, 0.00%
21      1,539.2943
↘1.294, 0.08%
22      1,541.5501
↘2.256, 0.15%
23      1,532.6499
↗8.900, 0.58%
24      1,532.2501
↗0.400, 0.03%
25      1,525.5038
↗6.746, 0.44%
26      1,518.3038
↗7.200, 0.47%
27      1,518.3132
↘0.009, 0.00%
28      1,526.6047
↘8.291, 0.55%
29      1,511.0501
↗15.555, 1.02%
30      1,518.9504
↘7.900, 0.52%
31      1,524.5496
↘5.599, 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(“2019-01-01”),1,541.250,1,541.25],[new Date(“2019-01-02”),1,545.250,1,545.25],[new Date(“2019-01-03”),1,544.195,1,544.19],[new Date(“2019-01-04”),1,544.804,1,544.80],[new Date(“2019-01-05”),1,544.804,1,544.80],[new Date(“2019-01-06”),1,544.782,1,544.78],[new Date(“2019-01-07”),1,541.450,1,541.45],[new Date(“2019-01-08”),1,537.201,1,537.20],[new Date(“2019-01-09”),1,536.000,1,536.00],[new Date(“2019-01-10”),1,530.501,1,530.50],[new Date(“2019-01-11”),1,526.404,1,526.40],[new Date(“2019-01-12”),1,526.404,1,526.40],[new Date(“2019-01-13”),1,526.400,1,526.40],[new Date(“2019-01-14”),1,519.950,1,519.95],[new Date(“2019-01-15”),1,519.150,1,519.15],[new Date(“2019-01-16”),1,525.700,1,525.70],[new Date(“2019-01-17”),1,541.699,1,541.70],[new Date(“2019-01-18”),1,538.000,1,538.00],[new Date(“2019-01-19”),1,538.000,1,538.00],[new Date(“2019-01-20”),1,538.000,1,538.00],[new Date(“2019-01-21”),1,539.294,1,539.29],[new Date(“2019-01-22”),1,541.550,1,541.55],[new Date(“2019-01-23”),1,532.650,1,532.65],[new Date(“2019-01-24”),1,532.250,1,532.25],[new Date(“2019-01-25”),1,525.504,1,525.50],[new Date(“2019-01-26”),1,518.304,1,518.30],[new Date(“2019-01-27”),1,518.313,1,518.31],[new Date(“2019-01-28”),1,526.605,1,526.60],[new Date(“2019-01-29”),1,511.050,1,511.05],[new Date(“2019-01-30”),1,518.950,1,518.95],[new Date(“2019-01-31″),1,524.550,1,524.55],]);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);
}