Malaysian Ringgit MYR 2019 Conversion Rates

  • Opening Value is 4.131981 MYR per Dollar
  • Closing Value is 4.090500 MYR per Dollar
  • Change in Value during 2019 is -0.0415 which is -1.00%
  • Best Performance is on 2019-03-21 with 4.049802 MYR per Dollar
  • Lowest Performance is on 2019-09-02 with 4.221600 MYR per Dollar
  • Average Value is 4.1416 MYR per Dollar
  • Swing Between the higest and the lowest is 0.1718 per Dollar, that is 4.16% compared to the opening value.

USD to MYR Conversion Rates – 12 months

Date 1 USD =
2019-12-31 4.0905 MYR
2019-11-30 4.1765 MYR
2019-10-31 4.1788 MYR
2019-09-30 4.1871 MYR
2019-08-31 4.2055 MYR
2019-07-31 4.1206 MYR
2019-06-30 4.1266 MYR
2019-05-31 4.1905 MYR
2019-04-30 4.1365 MYR
2019-03-31 4.0840 MYR
2019-02-28 4.0665 MYR
2019-01-31 4.0965 MYR
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”),4.091,4.09],[new Date(“2019-11-30”),4.177,4.18],[new Date(“2019-10-31”),4.179,4.18],[new Date(“2019-09-30”),4.187,4.19],[new Date(“2019-08-31”),4.206,4.21],[new Date(“2019-07-31”),4.121,4.12],[new Date(“2019-06-30”),4.127,4.13],[new Date(“2019-05-31”),4.191,4.19],[new Date(“2019-04-30”),4.137,4.14],[new Date(“2019-03-31”),4.084,4.08],[new Date(“2019-02-28”),4.067,4.07],[new Date(“2019-01-31”),4.096,4.10],]);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      4.1765
02      4.1788
↘0.002, 0.06%
03      4.1755
↗0.003, 0.08%
04      4.1760
↘0.001, 0.01%
05      4.1695
↗0.007, 0.16%
06      4.1595
↗0.010, 0.24%
07      4.1595
→0.000, 0.00%
08      4.1595
↗0.000, 0.00%
09      4.1615
↘0.002, 0.05%
10      4.1625
↘0.001, 0.02%
11      4.1645
↘0.002, 0.05%
12      4.1601
↗0.004, 0.11%
13      4.1345
↗0.026, 0.62%
14      4.1345
→0.000, 0.00%
15      4.1345
↗0.000, 0.00%
16      4.1425
↘0.008, 0.19%
17      4.1415
↗0.001, 0.02%
18      4.1395
↗0.002, 0.05%
19      4.1415
↘0.002, 0.05%
20      4.1404
↗0.001, 0.03%
21      4.1404
→0.000, 0.00%
22      4.1396
↗0.001, 0.02%
23      4.1425
↘0.003, 0.07%
24      4.1365
↗0.006, 0.14%
25      4.1365
↘0.000, 0.00%
26      4.1325
↗0.004, 0.10%
27      4.1275
↗0.005, 0.12%
28      4.1275
→0.000, 0.00%
29      4.1275
→0.000, 0.00%
30      4.1095
↗0.018, 0.44%
31      4.0905
↗0.019, 0.46%
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”),4.177,4.18],[new Date(“2019-12-02”),4.179,4.18],[new Date(“2019-12-03”),4.175,4.18],[new Date(“2019-12-04”),4.176,4.18],[new Date(“2019-12-05”),4.170,4.17],[new Date(“2019-12-06”),4.160,4.16],[new Date(“2019-12-07”),4.160,4.16],[new Date(“2019-12-08”),4.160,4.16],[new Date(“2019-12-09”),4.162,4.16],[new Date(“2019-12-10”),4.163,4.16],[new Date(“2019-12-11”),4.164,4.16],[new Date(“2019-12-12”),4.160,4.16],[new Date(“2019-12-13”),4.135,4.13],[new Date(“2019-12-14”),4.135,4.13],[new Date(“2019-12-15”),4.135,4.13],[new Date(“2019-12-16”),4.143,4.14],[new Date(“2019-12-17”),4.141,4.14],[new Date(“2019-12-18”),4.140,4.14],[new Date(“2019-12-19”),4.142,4.14],[new Date(“2019-12-20”),4.140,4.14],[new Date(“2019-12-21”),4.140,4.14],[new Date(“2019-12-22”),4.140,4.14],[new Date(“2019-12-23”),4.142,4.14],[new Date(“2019-12-24”),4.136,4.14],[new Date(“2019-12-25”),4.136,4.14],[new Date(“2019-12-26”),4.133,4.13],[new Date(“2019-12-27”),4.128,4.13],[new Date(“2019-12-28”),4.128,4.13],[new Date(“2019-12-29”),4.128,4.13],[new Date(“2019-12-30”),4.109,4.11],[new Date(“2019-12-31″),4.091,4.09],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2019

01      4.1655
02      4.1655
→0.000, 0.00%
03      4.1645
↗0.001, 0.02%
04      4.1501
↗0.014, 0.35%
05      4.1305
↗0.020, 0.47%
06      4.1370
↘0.007, 0.16%
07      4.1256
↗0.011, 0.28%
08      4.1330
↘0.007, 0.18%
09      4.1330
→0.000, 0.00%
10      4.1330
↗0.000, 0.00%
11      4.1435
↘0.011, 0.25%
12      4.1425
↗0.001, 0.02%
13      4.1535
↘0.011, 0.27%
14      4.1625
↘0.009, 0.22%
15      4.1530
↗0.009, 0.23%
16      4.1530
→0.000, 0.00%
17      4.1530
↗0.000, 0.00%
18      4.1555
↘0.002, 0.06%
19      4.1576
↘0.002, 0.05%
20      4.1655
↘0.008, 0.19%
21      4.1695
↘0.004, 0.10%
22      4.1721
↘0.003, 0.06%
23      4.1721
→0.000, 0.00%
24      4.1725
↘0.000, 0.01%
25      4.1785
↘0.006, 0.14%
26      4.1720
↗0.006, 0.16%
27      4.1720
↗0.000, 0.00%
28      4.1745
↘0.002, 0.06%
29      4.1765
↘0.002, 0.05%
30      4.1765
→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(“2019-11-01”),4.166,4.17],[new Date(“2019-11-02”),4.166,4.17],[new Date(“2019-11-03”),4.165,4.16],[new Date(“2019-11-04”),4.150,4.15],[new Date(“2019-11-05”),4.131,4.13],[new Date(“2019-11-06”),4.137,4.14],[new Date(“2019-11-07”),4.126,4.13],[new Date(“2019-11-08”),4.133,4.13],[new Date(“2019-11-09”),4.133,4.13],[new Date(“2019-11-10”),4.133,4.13],[new Date(“2019-11-11”),4.143,4.14],[new Date(“2019-11-12”),4.142,4.14],[new Date(“2019-11-13”),4.154,4.15],[new Date(“2019-11-14”),4.163,4.16],[new Date(“2019-11-15”),4.153,4.15],[new Date(“2019-11-16”),4.153,4.15],[new Date(“2019-11-17”),4.153,4.15],[new Date(“2019-11-18”),4.155,4.16],[new Date(“2019-11-19”),4.158,4.16],[new Date(“2019-11-20”),4.166,4.17],[new Date(“2019-11-21”),4.169,4.17],[new Date(“2019-11-22”),4.172,4.17],[new Date(“2019-11-23”),4.172,4.17],[new Date(“2019-11-24”),4.172,4.17],[new Date(“2019-11-25”),4.178,4.18],[new Date(“2019-11-26”),4.172,4.17],[new Date(“2019-11-27”),4.172,4.17],[new Date(“2019-11-28”),4.174,4.17],[new Date(“2019-11-29”),4.177,4.18],[new Date(“2019-11-30″),4.177,4.18],]);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      4.1925
02      4.1875
↗0.005, 0.12%
03      4.1870
↗0.000, 0.01%
04      4.1856
↗0.001, 0.03%
05      4.1856
→0.000, 0.00%
06      4.1845
↗0.001, 0.03%
07      4.1925
↘0.008, 0.19%
08      4.1935
↘0.001, 0.02%
09      4.1975
↘0.004, 0.10%
10      4.1890
↗0.008, 0.20%
11      4.1860
↗0.003, 0.07%
12      4.1860
→0.000, 0.00%
13      4.1825
↗0.004, 0.08%
14      4.1880
↘0.005, 0.13%
15      4.1915
↘0.003, 0.08%
16      4.1906
↗0.001, 0.02%
17      4.1795
↗0.011, 0.26%
18      4.1865
↘0.007, 0.17%
19      4.1865
→0.000, 0.00%
20      4.1855
↗0.001, 0.02%
21      4.1825
↗0.003, 0.07%
22      4.1885
↘0.006, 0.14%
23      4.1873
↗0.001, 0.03%
24      4.1850
↗0.002, 0.05%
25      4.1860
↘0.001, 0.02%
26      4.1860
→0.000, 0.00%
27      4.1861
↘0.000, 0.00%
28      4.1836
↗0.002, 0.06%
29      4.1831
↗0.001, 0.01%
30      4.1776
↗0.006, 0.13%
31      4.1788
↘0.001, 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(“2019-10-01”),4.193,4.19],[new Date(“2019-10-02”),4.188,4.19],[new Date(“2019-10-03”),4.187,4.19],[new Date(“2019-10-04”),4.186,4.19],[new Date(“2019-10-05”),4.186,4.19],[new Date(“2019-10-06”),4.184,4.18],[new Date(“2019-10-07”),4.192,4.19],[new Date(“2019-10-08”),4.194,4.19],[new Date(“2019-10-09”),4.198,4.20],[new Date(“2019-10-10”),4.189,4.19],[new Date(“2019-10-11”),4.186,4.19],[new Date(“2019-10-12”),4.186,4.19],[new Date(“2019-10-13”),4.182,4.18],[new Date(“2019-10-14”),4.188,4.19],[new Date(“2019-10-15”),4.191,4.19],[new Date(“2019-10-16”),4.191,4.19],[new Date(“2019-10-17”),4.179,4.18],[new Date(“2019-10-18”),4.187,4.19],[new Date(“2019-10-19”),4.187,4.19],[new Date(“2019-10-20”),4.186,4.19],[new Date(“2019-10-21”),4.182,4.18],[new Date(“2019-10-22”),4.188,4.19],[new Date(“2019-10-23”),4.187,4.19],[new Date(“2019-10-24”),4.185,4.19],[new Date(“2019-10-25”),4.186,4.19],[new Date(“2019-10-26”),4.186,4.19],[new Date(“2019-10-27”),4.186,4.19],[new Date(“2019-10-28”),4.184,4.18],[new Date(“2019-10-29”),4.183,4.18],[new Date(“2019-10-30”),4.178,4.18],[new Date(“2019-10-31″),4.179,4.18],]);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      4.2055
02      4.2216
↘0.016, 0.38%
03      4.2092
↗0.012, 0.29%
04      4.1930
↗0.016, 0.39%
05      4.1916
↗0.001, 0.03%
06      4.1805
↗0.011, 0.26%
07      4.1805
→0.000, 0.00%
08      4.1805
↗0.000, 0.00%
09      4.1653
↗0.015, 0.36%
10      4.1665
↘0.001, 0.03%
11      4.1785
↘0.012, 0.29%
12      4.1676
↗0.011, 0.26%
13      4.1685
↘0.001, 0.02%
14      4.1685
→0.000, 0.00%
15      4.1685
↗0.000, 0.00%
16      4.1640
↗0.004, 0.11%
17      4.1875
↘0.023, 0.56%
18      4.1850
↗0.002, 0.06%
19      4.1898
↘0.005, 0.11%
20      4.1755
↗0.014, 0.34%
21      4.1755
→0.000, 0.00%
22      4.1750
↗0.001, 0.01%
23      4.1776
↘0.003, 0.06%
24      4.1756
↗0.002, 0.05%
25      4.1915
↘0.016, 0.38%
26      4.1875
↗0.004, 0.10%
27      4.1930
↘0.006, 0.13%
28      4.1930
→0.000, 0.00%
29      4.1930
↗0.000, 0.00%
30      4.1871
↗0.006, 0.14%
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”),4.205,4.21],[new Date(“2019-09-02”),4.222,4.22],[new Date(“2019-09-03”),4.209,4.21],[new Date(“2019-09-04”),4.193,4.19],[new Date(“2019-09-05”),4.192,4.19],[new Date(“2019-09-06”),4.181,4.18],[new Date(“2019-09-07”),4.181,4.18],[new Date(“2019-09-08”),4.181,4.18],[new Date(“2019-09-09”),4.165,4.17],[new Date(“2019-09-10”),4.166,4.17],[new Date(“2019-09-11”),4.179,4.18],[new Date(“2019-09-12”),4.168,4.17],[new Date(“2019-09-13”),4.169,4.17],[new Date(“2019-09-14”),4.169,4.17],[new Date(“2019-09-15”),4.169,4.17],[new Date(“2019-09-16”),4.164,4.16],[new Date(“2019-09-17”),4.188,4.19],[new Date(“2019-09-18”),4.185,4.19],[new Date(“2019-09-19”),4.190,4.19],[new Date(“2019-09-20”),4.176,4.18],[new Date(“2019-09-21”),4.176,4.18],[new Date(“2019-09-22”),4.175,4.17],[new Date(“2019-09-23”),4.178,4.18],[new Date(“2019-09-24”),4.176,4.18],[new Date(“2019-09-25”),4.191,4.19],[new Date(“2019-09-26”),4.187,4.19],[new Date(“2019-09-27”),4.193,4.19],[new Date(“2019-09-28”),4.193,4.19],[new Date(“2019-09-29”),4.193,4.19],[new Date(“2019-09-30″),4.187,4.19],]);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      4.1430
02      4.1570
↘0.014, 0.34%
03      4.1570
→0.000, 0.00%
04      4.1567
↗0.000, 0.01%
05      4.1790
↘0.022, 0.54%
06      4.1928
↘0.014, 0.33%
07      4.2065
↘0.014, 0.33%
08      4.1851
↗0.021, 0.51%
09      4.1840
↗0.001, 0.03%
10      4.1840
→0.000, 0.00%
11      4.1845
↘0.000, 0.01%
12      4.2019
↘0.017, 0.42%
13      4.1875
↗0.014, 0.34%
14      4.1897
↘0.002, 0.05%
15      4.1920
↘0.002, 0.05%
16      4.1760
↗0.016, 0.38%
17      4.1760
→0.000, 0.00%
18      4.1776
↘0.002, 0.04%
19      4.1737
↗0.004, 0.09%
20      4.1806
↘0.007, 0.17%
21      4.1750
↗0.006, 0.13%
22      4.1881
↘0.013, 0.31%
23      4.1910
↘0.003, 0.07%
24      4.1910
→0.000, 0.00%
25      4.1925
↘0.001, 0.03%
26      4.2009
↘0.008, 0.20%
27      4.2025
↘0.002, 0.04%
28      4.2145
↘0.012, 0.29%
29      4.2181
↘0.004, 0.08%
30      4.2055
↗0.013, 0.30%
31      4.2055
→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”),4.143,4.14],[new Date(“2019-08-02”),4.157,4.16],[new Date(“2019-08-03”),4.157,4.16],[new Date(“2019-08-04”),4.157,4.16],[new Date(“2019-08-05”),4.179,4.18],[new Date(“2019-08-06”),4.193,4.19],[new Date(“2019-08-07”),4.207,4.21],[new Date(“2019-08-08”),4.185,4.19],[new Date(“2019-08-09”),4.184,4.18],[new Date(“2019-08-10”),4.184,4.18],[new Date(“2019-08-11”),4.185,4.18],[new Date(“2019-08-12”),4.202,4.20],[new Date(“2019-08-13”),4.187,4.19],[new Date(“2019-08-14”),4.190,4.19],[new Date(“2019-08-15”),4.192,4.19],[new Date(“2019-08-16”),4.176,4.18],[new Date(“2019-08-17”),4.176,4.18],[new Date(“2019-08-18”),4.178,4.18],[new Date(“2019-08-19”),4.174,4.17],[new Date(“2019-08-20”),4.181,4.18],[new Date(“2019-08-21”),4.175,4.18],[new Date(“2019-08-22”),4.188,4.19],[new Date(“2019-08-23”),4.191,4.19],[new Date(“2019-08-24”),4.191,4.19],[new Date(“2019-08-25”),4.192,4.19],[new Date(“2019-08-26”),4.201,4.20],[new Date(“2019-08-27”),4.203,4.20],[new Date(“2019-08-28”),4.215,4.21],[new Date(“2019-08-29”),4.218,4.22],[new Date(“2019-08-30”),4.206,4.21],[new Date(“2019-08-31″),4.206,4.21],]);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_8’));
chart.draw(data, options);
}

July, 2019

01      4.1332
02      4.1425
↘0.009, 0.23%
03      4.1376
↗0.005, 0.12%
04      4.1325
↗0.005, 0.12%
05      4.1355
↘0.003, 0.07%
06      4.1355
→0.000, 0.00%
07      4.1355
↗0.000, 0.00%
08      4.1355
↗0.000, 0.00%
09      4.1418
↘0.006, 0.15%
10      4.1326
↗0.009, 0.22%
11      4.1175
↗0.015, 0.37%
12      4.1130
↗0.004, 0.11%
13      4.1130
→0.000, 0.00%
14      4.1129
↗0.000, 0.00%
15      4.1033
↗0.010, 0.23%
16      4.1078
↘0.004, 0.11%
17      4.1116
↘0.004, 0.09%
18      4.1076
↗0.004, 0.10%
19      4.1098
↘0.002, 0.05%
20      4.1098
→0.000, 0.00%
21      4.1116
↘0.002, 0.04%
22      4.1130
↘0.001, 0.03%
23      4.1180
↘0.005, 0.12%
24      4.1190
↘0.001, 0.03%
25      4.1155
↗0.004, 0.09%
26      4.1190
↘0.004, 0.09%
27      4.1190
→0.000, 0.00%
28      4.1195
↘0.000, 0.01%
29      4.1209
↘0.001, 0.03%
30      4.1250
↘0.004, 0.10%
31      4.1206
↗0.004, 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(“2019-07-01”),4.133,4.13],[new Date(“2019-07-02”),4.142,4.14],[new Date(“2019-07-03”),4.138,4.14],[new Date(“2019-07-04”),4.132,4.13],[new Date(“2019-07-05”),4.136,4.14],[new Date(“2019-07-06”),4.136,4.14],[new Date(“2019-07-07”),4.136,4.14],[new Date(“2019-07-08”),4.135,4.14],[new Date(“2019-07-09”),4.142,4.14],[new Date(“2019-07-10”),4.133,4.13],[new Date(“2019-07-11”),4.117,4.12],[new Date(“2019-07-12”),4.113,4.11],[new Date(“2019-07-13”),4.113,4.11],[new Date(“2019-07-14”),4.113,4.11],[new Date(“2019-07-15”),4.103,4.10],[new Date(“2019-07-16”),4.108,4.11],[new Date(“2019-07-17”),4.112,4.11],[new Date(“2019-07-18”),4.108,4.11],[new Date(“2019-07-19”),4.110,4.11],[new Date(“2019-07-20”),4.110,4.11],[new Date(“2019-07-21”),4.112,4.11],[new Date(“2019-07-22”),4.113,4.11],[new Date(“2019-07-23”),4.118,4.12],[new Date(“2019-07-24”),4.119,4.12],[new Date(“2019-07-25”),4.115,4.12],[new Date(“2019-07-26”),4.119,4.12],[new Date(“2019-07-27”),4.119,4.12],[new Date(“2019-07-28”),4.120,4.12],[new Date(“2019-07-29”),4.121,4.12],[new Date(“2019-07-30”),4.125,4.13],[new Date(“2019-07-31″),4.121,4.12],]);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      4.1905
02      4.1921
↘0.002, 0.04%
03      4.1815
↗0.011, 0.25%
04      4.1685
↗0.013, 0.31%
05      4.1750
↘0.007, 0.16%
06      4.1490
↗0.026, 0.62%
07      4.1480
↗0.001, 0.02%
08      4.1480
→0.000, 0.00%
09      4.1480
↗0.000, 0.00%
10      4.1630
↘0.015, 0.36%
11      4.1636
↘0.001, 0.02%
12      4.1595
↗0.004, 0.10%
13      4.1626
↘0.003, 0.07%
14      4.1675
↘0.005, 0.12%
15      4.1675
→0.000, 0.00%
16      4.1675
↗0.000, 0.00%
17      4.1785
↘0.011, 0.26%
18      4.1646
↗0.014, 0.33%
19      4.1736
↘0.009, 0.22%
20      4.1480
↗0.026, 0.61%
21      4.1370
↗0.011, 0.26%
22      4.1370
→0.000, 0.00%
23      4.1369
↗0.000, 0.00%
24      4.1395
↘0.003, 0.06%
25      4.1290
↗0.010, 0.25%
26      4.1383
↘0.009, 0.22%
27      4.1425
↘0.004, 0.10%
28      4.1330
↗0.009, 0.23%
29      4.1330
→0.000, 0.00%
30      4.1266
↗0.006, 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(“2019-06-01”),4.191,4.19],[new Date(“2019-06-02”),4.192,4.19],[new Date(“2019-06-03”),4.182,4.18],[new Date(“2019-06-04”),4.168,4.17],[new Date(“2019-06-05”),4.175,4.18],[new Date(“2019-06-06”),4.149,4.15],[new Date(“2019-06-07”),4.148,4.15],[new Date(“2019-06-08”),4.148,4.15],[new Date(“2019-06-09”),4.148,4.15],[new Date(“2019-06-10”),4.163,4.16],[new Date(“2019-06-11”),4.164,4.16],[new Date(“2019-06-12”),4.160,4.16],[new Date(“2019-06-13”),4.163,4.16],[new Date(“2019-06-14”),4.168,4.17],[new Date(“2019-06-15”),4.168,4.17],[new Date(“2019-06-16”),4.168,4.17],[new Date(“2019-06-17”),4.179,4.18],[new Date(“2019-06-18”),4.165,4.16],[new Date(“2019-06-19”),4.174,4.17],[new Date(“2019-06-20”),4.148,4.15],[new Date(“2019-06-21”),4.137,4.14],[new Date(“2019-06-22”),4.137,4.14],[new Date(“2019-06-23”),4.137,4.14],[new Date(“2019-06-24”),4.140,4.14],[new Date(“2019-06-25”),4.129,4.13],[new Date(“2019-06-26”),4.138,4.14],[new Date(“2019-06-27”),4.143,4.14],[new Date(“2019-06-28”),4.133,4.13],[new Date(“2019-06-29”),4.133,4.13],[new Date(“2019-06-30″),4.127,4.13],]);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      4.1329
02      4.1354
↘0.003, 0.06%
03      4.1425
↘0.007, 0.17%
04      4.1425
→0.000, 0.00%
05      4.1455
↘0.003, 0.07%
06      4.1476
↘0.002, 0.05%
07      4.1503
↘0.003, 0.07%
08      4.1498
↗0.001, 0.01%
09      4.1627
↘0.013, 0.31%
10      4.1590
↗0.004, 0.09%
11      4.1590
→0.000, 0.00%
12      4.1585
↗0.001, 0.01%
13      4.1611
↘0.003, 0.06%
14      4.1705
↘0.009, 0.23%
15      4.1735
↘0.003, 0.07%
16      4.1665
↗0.007, 0.17%
17      4.1760
↘0.010, 0.23%
18      4.1760
→0.000, 0.00%
19      4.1765
↘0.000, 0.01%
20      4.1766
↘0.000, 0.00%
21      4.1854
↘0.009, 0.21%
22      4.1854
↗0.000, 0.00%
23      4.1920
↘0.007, 0.16%
24      4.1885
↗0.004, 0.08%
25      4.1885
→0.000, 0.00%
26      4.1865
↗0.002, 0.05%
27      4.1866
↘0.000, 0.00%
28      4.1885
↘0.002, 0.05%
29      4.1955
↘0.007, 0.17%
30      4.1865
↗0.009, 0.21%
31      4.1905
↘0.004, 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(“2019-05-01”),4.133,4.13],[new Date(“2019-05-02”),4.135,4.14],[new Date(“2019-05-03”),4.143,4.14],[new Date(“2019-05-04”),4.143,4.14],[new Date(“2019-05-05”),4.145,4.15],[new Date(“2019-05-06”),4.148,4.15],[new Date(“2019-05-07”),4.150,4.15],[new Date(“2019-05-08”),4.150,4.15],[new Date(“2019-05-09”),4.163,4.16],[new Date(“2019-05-10”),4.159,4.16],[new Date(“2019-05-11”),4.159,4.16],[new Date(“2019-05-12”),4.158,4.16],[new Date(“2019-05-13”),4.161,4.16],[new Date(“2019-05-14”),4.171,4.17],[new Date(“2019-05-15”),4.174,4.17],[new Date(“2019-05-16”),4.166,4.17],[new Date(“2019-05-17”),4.176,4.18],[new Date(“2019-05-18”),4.176,4.18],[new Date(“2019-05-19”),4.176,4.18],[new Date(“2019-05-20”),4.177,4.18],[new Date(“2019-05-21”),4.185,4.19],[new Date(“2019-05-22”),4.185,4.19],[new Date(“2019-05-23”),4.192,4.19],[new Date(“2019-05-24”),4.189,4.19],[new Date(“2019-05-25”),4.189,4.19],[new Date(“2019-05-26”),4.186,4.19],[new Date(“2019-05-27”),4.187,4.19],[new Date(“2019-05-28”),4.189,4.19],[new Date(“2019-05-29”),4.195,4.20],[new Date(“2019-05-30”),4.187,4.19],[new Date(“2019-05-31″),4.191,4.19],]);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      4.0813
02      4.0910
↘0.010, 0.24%
03      4.0790
↗0.012, 0.29%
04      4.0809
↘0.002, 0.05%
05      4.0901
↘0.009, 0.23%
06      4.0901
→0.000, 0.00%
07      4.0850
↗0.005, 0.12%
08      4.0955
↘0.010, 0.26%
09      4.0940
↗0.002, 0.04%
10      4.1106
↘0.017, 0.41%
11      4.1279
↘0.017, 0.42%
12      4.1145
↗0.013, 0.32%
13      4.1145
→0.000, 0.00%
14      4.1145
↗0.000, 0.00%
15      4.1153
↘0.001, 0.02%
16      4.1325
↘0.017, 0.42%
17      4.1361
↘0.004, 0.09%
18      4.1570
↘0.021, 0.51%
19      4.1325
↗0.024, 0.59%
20      4.1325
→0.000, 0.00%
21      4.1325
→0.000, 0.00%
22      4.1325
↗0.000, 0.00%
23      4.1280
↗0.005, 0.11%
24      4.1325
↘0.005, 0.11%
25      4.1493
↘0.017, 0.41%
26      4.1330
↗0.016, 0.39%
27      4.1330
→0.000, 0.00%
28      4.1325
↗0.001, 0.01%
29      4.1338
↘0.001, 0.03%
30      4.1365
↘0.003, 0.07%
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”),4.081,4.08],[new Date(“2019-04-02”),4.091,4.09],[new Date(“2019-04-03”),4.079,4.08],[new Date(“2019-04-04”),4.081,4.08],[new Date(“2019-04-05”),4.090,4.09],[new Date(“2019-04-06”),4.090,4.09],[new Date(“2019-04-07”),4.085,4.09],[new Date(“2019-04-08”),4.096,4.10],[new Date(“2019-04-09”),4.094,4.09],[new Date(“2019-04-10”),4.111,4.11],[new Date(“2019-04-11”),4.128,4.13],[new Date(“2019-04-12”),4.115,4.11],[new Date(“2019-04-13”),4.115,4.11],[new Date(“2019-04-14”),4.115,4.11],[new Date(“2019-04-15”),4.115,4.12],[new Date(“2019-04-16”),4.132,4.13],[new Date(“2019-04-17”),4.136,4.14],[new Date(“2019-04-18”),4.157,4.16],[new Date(“2019-04-19”),4.133,4.13],[new Date(“2019-04-20”),4.133,4.13],[new Date(“2019-04-21”),4.133,4.13],[new Date(“2019-04-22”),4.132,4.13],[new Date(“2019-04-23”),4.128,4.13],[new Date(“2019-04-24”),4.133,4.13],[new Date(“2019-04-25”),4.149,4.15],[new Date(“2019-04-26”),4.133,4.13],[new Date(“2019-04-27”),4.133,4.13],[new Date(“2019-04-28”),4.133,4.13],[new Date(“2019-04-29”),4.134,4.13],[new Date(“2019-04-30″),4.137,4.14],]);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      4.0740
02      4.0740
→0.000, 0.00%
03      4.0745
↘0.000, 0.01%
04      4.0790
↘0.005, 0.11%
05      4.0822
↘0.003, 0.08%
06      4.0885
↘0.006, 0.15%
07      4.0911
↘0.003, 0.06%
08      4.0876
↗0.003, 0.09%
09      4.0876
→0.000, 0.00%
10      4.0910
↘0.003, 0.08%
11      4.0895
↗0.001, 0.04%
12      4.0805
↗0.009, 0.22%
13      4.0885
↘0.008, 0.20%
14      4.0905
↘0.002, 0.05%
15      4.0920
↘0.002, 0.04%
16      4.0920
→0.000, 0.00%
17      4.0880
↗0.004, 0.10%
18      4.0775
↗0.010, 0.26%
19      4.0765
↗0.001, 0.02%
20      4.0610
↗0.016, 0.38%
21      4.0498
↗0.011, 0.28%
22      4.0645
↘0.015, 0.36%
23      4.0645
→0.000, 0.00%
24      4.0650
↘0.000, 0.01%
25      4.0685
↘0.004, 0.09%
26      4.0746
↘0.006, 0.15%
27      4.0716
↗0.003, 0.07%
28      4.0780
↘0.006, 0.16%
29      4.0825
↘0.005, 0.11%
30      4.0825
→0.000, 0.00%
31      4.0840
↘0.001, 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(“2019-03-01”),4.074,4.07],[new Date(“2019-03-02”),4.074,4.07],[new Date(“2019-03-03”),4.074,4.07],[new Date(“2019-03-04”),4.079,4.08],[new Date(“2019-03-05”),4.082,4.08],[new Date(“2019-03-06”),4.089,4.09],[new Date(“2019-03-07”),4.091,4.09],[new Date(“2019-03-08”),4.088,4.09],[new Date(“2019-03-09”),4.088,4.09],[new Date(“2019-03-10”),4.091,4.09],[new Date(“2019-03-11”),4.090,4.09],[new Date(“2019-03-12”),4.081,4.08],[new Date(“2019-03-13”),4.088,4.09],[new Date(“2019-03-14”),4.090,4.09],[new Date(“2019-03-15”),4.092,4.09],[new Date(“2019-03-16”),4.092,4.09],[new Date(“2019-03-17”),4.088,4.09],[new Date(“2019-03-18”),4.077,4.08],[new Date(“2019-03-19”),4.076,4.08],[new Date(“2019-03-20”),4.061,4.06],[new Date(“2019-03-21”),4.050,4.05],[new Date(“2019-03-22”),4.065,4.06],[new Date(“2019-03-23”),4.065,4.06],[new Date(“2019-03-24”),4.065,4.06],[new Date(“2019-03-25”),4.069,4.07],[new Date(“2019-03-26”),4.075,4.07],[new Date(“2019-03-27”),4.072,4.07],[new Date(“2019-03-28”),4.078,4.08],[new Date(“2019-03-29”),4.083,4.08],[new Date(“2019-03-30”),4.083,4.08],[new Date(“2019-03-31″),4.084,4.08],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2019

01      4.0965
02      4.0965
→0.000, 0.00%
03      4.0955
↗0.001, 0.02%
04      4.0870
↗0.009, 0.21%
05      4.0935
↘0.007, 0.16%
06      4.0869
↗0.007, 0.16%
07      4.0725
↗0.014, 0.35%
08      4.0690
↗0.003, 0.08%
09      4.0690
→0.000, 0.00%
10      4.0685
↗0.001, 0.01%
11      4.0725
↘0.004, 0.10%
12      4.0725
↘0.000, 0.00%
13      4.0670
↗0.005, 0.14%
14      4.0750
↘0.008, 0.20%
15      4.0845
↘0.010, 0.23%
16      4.0845
→0.000, 0.00%
17      4.0848
↘0.000, 0.01%
18      4.0798
↗0.005, 0.12%
19      4.0808
↘0.001, 0.02%
20      4.0665
↗0.014, 0.35%
21      4.0790
↘0.012, 0.31%
22      4.0752
↗0.004, 0.09%
23      4.0752
→0.000, 0.00%
24      4.0785
↘0.003, 0.08%
25      4.0675
↗0.011, 0.27%
26      4.0688
↘0.001, 0.03%
27      4.0665
↗0.002, 0.06%
28      4.0665
↘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(“2019-02-01”),4.097,4.10],[new Date(“2019-02-02”),4.097,4.10],[new Date(“2019-02-03”),4.095,4.10],[new Date(“2019-02-04”),4.087,4.09],[new Date(“2019-02-05”),4.094,4.09],[new Date(“2019-02-06”),4.087,4.09],[new Date(“2019-02-07”),4.072,4.07],[new Date(“2019-02-08”),4.069,4.07],[new Date(“2019-02-09”),4.069,4.07],[new Date(“2019-02-10”),4.069,4.07],[new Date(“2019-02-11”),4.072,4.07],[new Date(“2019-02-12”),4.073,4.07],[new Date(“2019-02-13”),4.067,4.07],[new Date(“2019-02-14”),4.075,4.07],[new Date(“2019-02-15”),4.085,4.08],[new Date(“2019-02-16”),4.085,4.08],[new Date(“2019-02-17”),4.085,4.08],[new Date(“2019-02-18”),4.080,4.08],[new Date(“2019-02-19”),4.081,4.08],[new Date(“2019-02-20”),4.066,4.07],[new Date(“2019-02-21”),4.079,4.08],[new Date(“2019-02-22”),4.075,4.08],[new Date(“2019-02-23”),4.075,4.08],[new Date(“2019-02-24”),4.079,4.08],[new Date(“2019-02-25”),4.067,4.07],[new Date(“2019-02-26”),4.069,4.07],[new Date(“2019-02-27”),4.067,4.07],[new Date(“2019-02-28″),4.067,4.07],]);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      4.1320
02      4.1375
↘0.006, 0.13%
03      4.1425
↘0.005, 0.12%
04      4.1218
↗0.021, 0.50%
05      4.1218
→0.000, 0.00%
06      4.1245
↘0.003, 0.07%
07      4.1148
↗0.010, 0.24%
08      4.1168
↘0.002, 0.05%
09      4.1040
↗0.013, 0.31%
10      4.0975
↗0.007, 0.16%
11      4.0945
↗0.003, 0.07%
12      4.0945
→0.000, 0.00%
13      4.0960
↘0.002, 0.04%
14      4.0978
↘0.002, 0.04%
15      4.1055
↘0.008, 0.19%
16      4.1080
↘0.002, 0.06%
17      4.1125
↘0.005, 0.11%
18      4.1125
↘0.000, 0.00%
19      4.1125
→0.000, 0.00%
20      4.1125
↗0.000, 0.00%
21      4.1242
↘0.012, 0.28%
22      4.1350
↘0.011, 0.26%
23      4.1370
↘0.002, 0.05%
24      4.1433
↘0.006, 0.15%
25      4.1245
↗0.019, 0.45%
26      4.1245
→0.000, 0.00%
27      4.1225
↗0.002, 0.05%
28      4.1097
↗0.013, 0.31%
29      4.1045
↗0.005, 0.13%
30      4.0905
↗0.014, 0.34%
31      4.0965
↘0.006, 0.15%
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”),4.132,4.13],[new Date(“2019-01-02”),4.137,4.14],[new Date(“2019-01-03”),4.143,4.14],[new Date(“2019-01-04”),4.122,4.12],[new Date(“2019-01-05”),4.122,4.12],[new Date(“2019-01-06”),4.125,4.12],[new Date(“2019-01-07”),4.115,4.11],[new Date(“2019-01-08”),4.117,4.12],[new Date(“2019-01-09”),4.104,4.10],[new Date(“2019-01-10”),4.097,4.10],[new Date(“2019-01-11”),4.095,4.09],[new Date(“2019-01-12”),4.095,4.09],[new Date(“2019-01-13”),4.096,4.10],[new Date(“2019-01-14”),4.098,4.10],[new Date(“2019-01-15”),4.106,4.11],[new Date(“2019-01-16”),4.108,4.11],[new Date(“2019-01-17”),4.112,4.11],[new Date(“2019-01-18”),4.113,4.11],[new Date(“2019-01-19”),4.113,4.11],[new Date(“2019-01-20”),4.112,4.11],[new Date(“2019-01-21”),4.124,4.12],[new Date(“2019-01-22”),4.135,4.14],[new Date(“2019-01-23”),4.137,4.14],[new Date(“2019-01-24”),4.143,4.14],[new Date(“2019-01-25”),4.125,4.12],[new Date(“2019-01-26”),4.125,4.12],[new Date(“2019-01-27”),4.123,4.12],[new Date(“2019-01-28”),4.110,4.11],[new Date(“2019-01-29”),4.104,4.10],[new Date(“2019-01-30”),4.090,4.09],[new Date(“2019-01-31″),4.096,4.10],]);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_1’));
chart.draw(data, options);
}