Malaysian Ringgit MYR 2016 Conversion Rates

  • Opening Value is 4.300272 MYR per Dollar
  • Closing Value is 4.484504 MYR per Dollar
  • Change in Value during 2016 is 0.1842 which is 4.28%
  • Best Performance is on 2016-04-12 with 3.862874 MYR per Dollar
  • Lowest Performance is on 2016-12-30,2016-12-31 with 4.484504 MYR per Dollar
  • Average Value is 4.1422 MYR per Dollar
  • Swing Between the higest and the lowest is 0.6216 per Dollar, that is 14.46% compared to the opening value.

USD to MYR Conversion Rates – 12 months

Date 1 USD =
2016-12-31 4.4845 MYR
2016-11-30 4.4703 MYR
2016-10-31 4.1963 MYR
2016-09-30 4.1350 MYR
2016-08-31 4.0698 MYR
2016-07-31 4.0498 MYR
2016-06-30 4.0049 MYR
2016-05-31 4.1188 MYR
2016-04-30 3.9147 MYR
2016-03-31 3.8930 MYR
2016-02-29 4.2016 MYR
2016-01-31 4.1439 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(“2016-12-31”),4.485,4.48],[new Date(“2016-11-30”),4.470,4.47],[new Date(“2016-10-31”),4.196,4.20],[new Date(“2016-09-30”),4.135,4.14],[new Date(“2016-08-31”),4.070,4.07],[new Date(“2016-07-31”),4.050,4.05],[new Date(“2016-06-30”),4.005,4.00],[new Date(“2016-05-31”),4.119,4.12],[new Date(“2016-04-30”),3.915,3.91],[new Date(“2016-03-31”),3.893,3.89],[new Date(“2016-02-29”),4.202,4.20],[new Date(“2016-01-31”),4.144,4.14],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2016

01      4.4610
02      4.4404
↗0.021, 0.46%
03      4.4404
→0.000, 0.00%
04      4.4402
↗0.000, 0.00%
05      4.4470
↘0.007, 0.15%
06      4.4165
↗0.030, 0.69%
07      4.4300
↘0.013, 0.31%
08      4.4197
↗0.010, 0.23%
09      4.4215
↘0.002, 0.04%
10      4.4215
→0.000, 0.00%
11      4.4215
↗0.000, 0.00%
12      4.4215
↘0.000, 0.00%
13      4.4340
↘0.012, 0.28%
14      4.4440
↘0.010, 0.23%
15      4.4620
↘0.018, 0.40%
16      4.4755
↘0.014, 0.30%
17      4.4755
→0.000, 0.00%
18      4.4755
↗0.000, 0.00%
19      4.4765
↘0.001, 0.02%
20      4.4780
↘0.002, 0.03%
21      4.4770
↗0.001, 0.02%
22      4.4760
↗0.001, 0.02%
23      4.4725
↗0.004, 0.08%
24      4.4725
→0.000, 0.00%
25      4.4725
→0.000, 0.00%
26      4.4725
↘0.000, 0.00%
27      4.4760
↘0.004, 0.08%
28      4.4797
↘0.004, 0.08%
29      4.4830
↘0.003, 0.07%
30      4.4845
↘0.001, 0.03%
31      4.4845
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-01”),4.461,4.46],[new Date(“2016-12-02”),4.440,4.44],[new Date(“2016-12-03”),4.440,4.44],[new Date(“2016-12-04”),4.440,4.44],[new Date(“2016-12-05”),4.447,4.45],[new Date(“2016-12-06”),4.416,4.42],[new Date(“2016-12-07”),4.430,4.43],[new Date(“2016-12-08”),4.420,4.42],[new Date(“2016-12-09”),4.422,4.42],[new Date(“2016-12-10”),4.422,4.42],[new Date(“2016-12-11”),4.422,4.42],[new Date(“2016-12-12”),4.422,4.42],[new Date(“2016-12-13”),4.434,4.43],[new Date(“2016-12-14”),4.444,4.44],[new Date(“2016-12-15”),4.462,4.46],[new Date(“2016-12-16”),4.476,4.48],[new Date(“2016-12-17”),4.476,4.48],[new Date(“2016-12-18”),4.476,4.48],[new Date(“2016-12-19”),4.476,4.48],[new Date(“2016-12-20”),4.478,4.48],[new Date(“2016-12-21”),4.477,4.48],[new Date(“2016-12-22”),4.476,4.48],[new Date(“2016-12-23”),4.473,4.47],[new Date(“2016-12-24”),4.473,4.47],[new Date(“2016-12-25”),4.473,4.47],[new Date(“2016-12-26”),4.473,4.47],[new Date(“2016-12-27”),4.476,4.48],[new Date(“2016-12-28”),4.480,4.48],[new Date(“2016-12-29”),4.483,4.48],[new Date(“2016-12-30”),4.485,4.48],[new Date(“2016-12-31″),4.485,4.48],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2016

01      4.1790
02      4.1850
↘0.006, 0.14%
03      4.1845
↗0.001, 0.01%
04      4.1950
↘0.011, 0.25%
05      4.1950
→0.000, 0.00%
06      4.1970
↘0.002, 0.05%
07      4.2050
↘0.008, 0.19%
08      4.1756
↗0.029, 0.70%
09      4.2505
↘0.075, 1.79%
10      4.3245
↘0.074, 1.74%
11      4.2850
↗0.039, 0.91%
12      4.2850
→0.000, 0.00%
13      4.2850
↗0.000, 0.00%
14      4.3410
↘0.056, 1.31%
15      4.3401
↗0.001, 0.02%
16      4.3499
↘0.010, 0.23%
17      4.4097
↘0.060, 1.37%
18      4.4150
↘0.005, 0.12%
19      4.4150
→0.000, 0.00%
20      4.4150
↗0.000, 0.00%
21      4.4099
↗0.005, 0.12%
22      4.4200
↘0.010, 0.23%
23      4.4396
↘0.020, 0.44%
24      4.4610
↘0.021, 0.48%
25      4.4530
↗0.008, 0.18%
26      4.4465
↗0.007, 0.15%
27      4.4528
↘0.006, 0.14%
28      4.4601
↘0.007, 0.16%
29      4.4697
↘0.010, 0.22%
30      4.4703
↘0.001, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-11-01”),4.179,4.18],[new Date(“2016-11-02”),4.185,4.19],[new Date(“2016-11-03”),4.185,4.18],[new Date(“2016-11-04”),4.195,4.20],[new Date(“2016-11-05”),4.195,4.20],[new Date(“2016-11-06”),4.197,4.20],[new Date(“2016-11-07”),4.205,4.20],[new Date(“2016-11-08”),4.176,4.18],[new Date(“2016-11-09”),4.251,4.25],[new Date(“2016-11-10”),4.324,4.32],[new Date(“2016-11-11”),4.285,4.29],[new Date(“2016-11-12”),4.285,4.29],[new Date(“2016-11-13”),4.285,4.29],[new Date(“2016-11-14”),4.341,4.34],[new Date(“2016-11-15”),4.340,4.34],[new Date(“2016-11-16”),4.350,4.35],[new Date(“2016-11-17”),4.410,4.41],[new Date(“2016-11-18”),4.415,4.42],[new Date(“2016-11-19”),4.415,4.42],[new Date(“2016-11-20”),4.415,4.42],[new Date(“2016-11-21”),4.410,4.41],[new Date(“2016-11-22”),4.420,4.42],[new Date(“2016-11-23”),4.440,4.44],[new Date(“2016-11-24”),4.461,4.46],[new Date(“2016-11-25”),4.453,4.45],[new Date(“2016-11-26”),4.447,4.45],[new Date(“2016-11-27”),4.453,4.45],[new Date(“2016-11-28”),4.460,4.46],[new Date(“2016-11-29”),4.470,4.47],[new Date(“2016-11-30″),4.470,4.47],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2016

01      4.1350
02      4.1350
↗0.000, 0.00%
03      4.1150
↗0.020, 0.48%
04      4.1501
↘0.035, 0.85%
05      4.1350
↗0.015, 0.36%
06      4.1396
↘0.005, 0.11%
07      4.1540
↘0.014, 0.35%
08      4.1540
→0.000, 0.00%
09      4.1540
↗0.000, 0.00%
10      4.1510
↗0.003, 0.07%
11      4.1898
↘0.039, 0.94%
12      4.1920
↘0.002, 0.05%
13      4.1971
↘0.005, 0.12%
14      4.1990
↘0.002, 0.05%
15      4.1990
→0.000, 0.00%
16      4.1990
↗0.000, 0.00%
17      4.2199
↘0.021, 0.50%
18      4.2047
↗0.015, 0.36%
19      4.1570
↗0.048, 1.13%
20      4.1850
↘0.028, 0.67%
21      4.1850
↘0.000, 0.00%
22      4.1850
→0.000, 0.00%
23      4.1850
↗0.000, 0.00%
24      4.1750
↗0.010, 0.24%
25      4.1550
↗0.020, 0.48%
26      4.1590
↘0.004, 0.10%
27      4.1902
↘0.031, 0.75%
28      4.1970
↘0.007, 0.16%
29      4.1970
→0.000, 0.00%
30      4.1970
↗0.000, 0.00%
31      4.1963
↗0.001, 0.02%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-10-01”),4.135,4.14],[new Date(“2016-10-02”),4.135,4.13],[new Date(“2016-10-03”),4.115,4.12],[new Date(“2016-10-04”),4.150,4.15],[new Date(“2016-10-05”),4.135,4.14],[new Date(“2016-10-06”),4.140,4.14],[new Date(“2016-10-07”),4.154,4.15],[new Date(“2016-10-08”),4.154,4.15],[new Date(“2016-10-09”),4.154,4.15],[new Date(“2016-10-10”),4.151,4.15],[new Date(“2016-10-11”),4.190,4.19],[new Date(“2016-10-12”),4.192,4.19],[new Date(“2016-10-13”),4.197,4.20],[new Date(“2016-10-14”),4.199,4.20],[new Date(“2016-10-15”),4.199,4.20],[new Date(“2016-10-16”),4.199,4.20],[new Date(“2016-10-17”),4.220,4.22],[new Date(“2016-10-18”),4.205,4.20],[new Date(“2016-10-19”),4.157,4.16],[new Date(“2016-10-20”),4.185,4.19],[new Date(“2016-10-21”),4.185,4.19],[new Date(“2016-10-22”),4.185,4.19],[new Date(“2016-10-23”),4.185,4.19],[new Date(“2016-10-24”),4.175,4.17],[new Date(“2016-10-25”),4.155,4.16],[new Date(“2016-10-26”),4.159,4.16],[new Date(“2016-10-27”),4.190,4.19],[new Date(“2016-10-28”),4.197,4.20],[new Date(“2016-10-29”),4.197,4.20],[new Date(“2016-10-30”),4.197,4.20],[new Date(“2016-10-31″),4.196,4.20],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}

September, 2016

01      4.0799
02      4.0804
↘0.000, 0.01%
03      4.0804
→0.000, 0.00%
04      4.0398
↗0.041, 0.99%
05      4.0675
↘0.028, 0.68%
06      4.0600
↗0.008, 0.19%
07      4.0599
↗0.000, 0.00%
08      4.0725
↘0.013, 0.31%
09      4.0960
↘0.024, 0.58%
10      4.0960
→0.000, 0.00%
11      4.0802
↗0.016, 0.39%
12      4.0902
↘0.010, 0.25%
13      4.1430
↘0.053, 1.29%
14      4.1201
↗0.023, 0.55%
15      4.1350
↘0.015, 0.36%
16      4.1504
↘0.015, 0.37%
17      4.1504
→0.000, 0.00%
18      4.1501
↗0.000, 0.01%
19      4.1330
↗0.017, 0.41%
20      4.1350
↘0.002, 0.05%
21      4.1140
↗0.021, 0.51%
22      4.1099
↗0.004, 0.10%
23      4.1120
↘0.002, 0.05%
24      4.1120
→0.000, 0.00%
25      4.1120
↗0.000, 0.00%
26      4.1255
↘0.014, 0.33%
27      4.1299
↘0.004, 0.11%
28      4.1197
↗0.010, 0.25%
29      4.1220
↘0.002, 0.06%
30      4.1350
↘0.013, 0.32%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-09-01”),4.080,4.08],[new Date(“2016-09-02”),4.080,4.08],[new Date(“2016-09-03”),4.080,4.08],[new Date(“2016-09-04”),4.040,4.04],[new Date(“2016-09-05”),4.068,4.07],[new Date(“2016-09-06”),4.060,4.06],[new Date(“2016-09-07”),4.060,4.06],[new Date(“2016-09-08”),4.073,4.07],[new Date(“2016-09-09”),4.096,4.10],[new Date(“2016-09-10”),4.096,4.10],[new Date(“2016-09-11”),4.080,4.08],[new Date(“2016-09-12”),4.090,4.09],[new Date(“2016-09-13”),4.143,4.14],[new Date(“2016-09-14”),4.120,4.12],[new Date(“2016-09-15”),4.135,4.14],[new Date(“2016-09-16”),4.150,4.15],[new Date(“2016-09-17”),4.150,4.15],[new Date(“2016-09-18”),4.150,4.15],[new Date(“2016-09-19”),4.133,4.13],[new Date(“2016-09-20”),4.135,4.13],[new Date(“2016-09-21”),4.114,4.11],[new Date(“2016-09-22”),4.110,4.11],[new Date(“2016-09-23”),4.112,4.11],[new Date(“2016-09-24”),4.112,4.11],[new Date(“2016-09-25”),4.112,4.11],[new Date(“2016-09-26”),4.126,4.13],[new Date(“2016-09-27”),4.130,4.13],[new Date(“2016-09-28”),4.120,4.12],[new Date(“2016-09-29”),4.122,4.12],[new Date(“2016-09-30″),4.135,4.14],]);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_9’));
chart.draw(data, options);
}

August, 2016

01      4.0195
02      4.0504
↘0.031, 0.77%
03      4.0555
↘0.005, 0.13%
04      4.0310
↗0.024, 0.60%
05      4.0310
↘0.000, 0.00%
06      4.0310
→0.000, 0.00%
07      4.0310
↗0.000, 0.00%
08      4.0350
↘0.004, 0.10%
09      4.0280
↗0.007, 0.17%
10      4.0040
↗0.024, 0.60%
11      3.9825
↗0.021, 0.54%
12      4.0304
↘0.048, 1.20%
13      4.0304
→0.000, 0.00%
14      4.0302
↗0.000, 0.00%
15      3.9898
↗0.040, 1.00%
16      3.9830
↗0.007, 0.17%
17      4.0050
↘0.022, 0.55%
18      3.9925
↗0.013, 0.31%
19      4.0110
↘0.019, 0.46%
20      4.0105
↗0.001, 0.01%
21      4.0105
↗0.000, 0.00%
22      4.0201
↘0.010, 0.24%
23      4.0200
↗0.000, 0.00%
24      4.0301
↘0.010, 0.25%
25      4.0095
↗0.021, 0.51%
26      4.0304
↘0.021, 0.52%
27      4.0304
→0.000, 0.00%
28      4.0298
↗0.001, 0.01%
29      4.0450
↘0.015, 0.38%
30      4.0510
↘0.006, 0.15%
31      4.0698
↘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(“2016-08-01”),4.020,4.02],[new Date(“2016-08-02”),4.050,4.05],[new Date(“2016-08-03”),4.055,4.06],[new Date(“2016-08-04”),4.031,4.03],[new Date(“2016-08-05”),4.031,4.03],[new Date(“2016-08-06”),4.031,4.03],[new Date(“2016-08-07”),4.031,4.03],[new Date(“2016-08-08”),4.035,4.04],[new Date(“2016-08-09”),4.028,4.03],[new Date(“2016-08-10”),4.004,4.00],[new Date(“2016-08-11”),3.983,3.98],[new Date(“2016-08-12”),4.030,4.03],[new Date(“2016-08-13”),4.030,4.03],[new Date(“2016-08-14”),4.030,4.03],[new Date(“2016-08-15”),3.990,3.99],[new Date(“2016-08-16”),3.983,3.98],[new Date(“2016-08-17”),4.005,4.01],[new Date(“2016-08-18”),3.993,3.99],[new Date(“2016-08-19”),4.011,4.01],[new Date(“2016-08-20”),4.011,4.01],[new Date(“2016-08-21”),4.010,4.01],[new Date(“2016-08-22”),4.020,4.02],[new Date(“2016-08-23”),4.020,4.02],[new Date(“2016-08-24”),4.030,4.03],[new Date(“2016-08-25”),4.009,4.01],[new Date(“2016-08-26”),4.030,4.03],[new Date(“2016-08-27”),4.030,4.03],[new Date(“2016-08-28”),4.030,4.03],[new Date(“2016-08-29”),4.045,4.04],[new Date(“2016-08-30”),4.051,4.05],[new Date(“2016-08-31″),4.070,4.07],]);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_8’));
chart.draw(data, options);
}

July, 2016

01      3.9992
02      3.9964
↗0.003, 0.07%
03      4.0011
↘0.005, 0.12%
04      3.9920
↗0.009, 0.23%
05      4.0227
↘0.031, 0.77%
06      4.0368
↘0.014, 0.35%
07      4.0366
↗0.000, 0.01%
08      4.0128
↗0.024, 0.59%
09      4.0118
↗0.001, 0.03%
10      4.0132
↘0.001, 0.04%
11      4.0011
↗0.012, 0.30%
12      3.9697
↗0.031, 0.78%
13      3.9673
↗0.002, 0.06%
14      3.9442
↗0.023, 0.58%
15      3.9450
↘0.001, 0.02%
16      3.9450
→0.000, 0.00%
17      3.9450
↗0.000, 0.00%
18      3.9702
↘0.025, 0.64%
19      4.0050
↘0.035, 0.88%
20      4.0220
↘0.017, 0.42%
21      4.0605
↘0.039, 0.96%
22      4.0604
↗0.000, 0.00%
23      4.0604
→0.000, 0.00%
24      4.0601
↗0.000, 0.01%
25      4.0840
↘0.024, 0.59%
26      4.0601
↗0.024, 0.59%
27      4.0730
↘0.013, 0.32%
28      4.0465
↗0.027, 0.65%
29      4.0275
↗0.019, 0.47%
30      4.0275
→0.000, 0.00%
31      4.0498
↘0.022, 0.55%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-07-01”),3.999,4.00],[new Date(“2016-07-02”),3.996,4.00],[new Date(“2016-07-03”),4.001,4.00],[new Date(“2016-07-04”),3.992,3.99],[new Date(“2016-07-05”),4.023,4.02],[new Date(“2016-07-06”),4.037,4.04],[new Date(“2016-07-07”),4.037,4.04],[new Date(“2016-07-08”),4.013,4.01],[new Date(“2016-07-09”),4.012,4.01],[new Date(“2016-07-10”),4.013,4.01],[new Date(“2016-07-11”),4.001,4.00],[new Date(“2016-07-12”),3.970,3.97],[new Date(“2016-07-13”),3.967,3.97],[new Date(“2016-07-14”),3.944,3.94],[new Date(“2016-07-15”),3.945,3.95],[new Date(“2016-07-16”),3.945,3.95],[new Date(“2016-07-17”),3.945,3.94],[new Date(“2016-07-18”),3.970,3.97],[new Date(“2016-07-19”),4.005,4.00],[new Date(“2016-07-20”),4.022,4.02],[new Date(“2016-07-21”),4.060,4.06],[new Date(“2016-07-22”),4.060,4.06],[new Date(“2016-07-23”),4.060,4.06],[new Date(“2016-07-24”),4.060,4.06],[new Date(“2016-07-25”),4.084,4.08],[new Date(“2016-07-26”),4.060,4.06],[new Date(“2016-07-27”),4.073,4.07],[new Date(“2016-07-28”),4.046,4.05],[new Date(“2016-07-29”),4.028,4.03],[new Date(“2016-07-30”),4.028,4.03],[new Date(“2016-07-31″),4.050,4.05],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}

June, 2016

01      4.1487
02      4.1487
↘0.000, 0.00%
03      4.1063
↗0.042, 1.02%
04      4.1037
↗0.003, 0.06%
05      4.0976
↗0.006, 0.15%
06      4.0724
↗0.025, 0.62%
07      4.0621
↗0.010, 0.25%
08      4.0428
↗0.019, 0.48%
09      4.0450
↘0.002, 0.05%
10      4.0702
↘0.025, 0.62%
11      4.0768
↘0.007, 0.16%
12      4.0788
↘0.002, 0.05%
13      4.0870
↘0.008, 0.20%
14      4.1002
↘0.013, 0.32%
15      4.0979
↗0.002, 0.06%
16      4.1022
↘0.004, 0.11%
17      4.0917
↗0.011, 0.26%
18      4.0915
↗0.000, 0.01%
19      4.0852
↗0.006, 0.15%
20      4.0665
↗0.019, 0.46%
21      4.0375
↗0.029, 0.71%
22      4.0334
↗0.004, 0.10%
23      3.9862
↗0.047, 1.17%
24      4.0723
↘0.086, 2.16%
25      4.0937
↘0.021, 0.52%
26      4.0953
↘0.002, 0.04%
27      4.1081
↘0.013, 0.31%
28      4.0708
↗0.037, 0.91%
29      4.0258
↗0.045, 1.11%
30      4.0049
↗0.021, 0.52%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),4.149,4.15],[new Date(“2016-06-02”),4.149,4.15],[new Date(“2016-06-03”),4.106,4.11],[new Date(“2016-06-04”),4.104,4.10],[new Date(“2016-06-05”),4.098,4.10],[new Date(“2016-06-06”),4.072,4.07],[new Date(“2016-06-07”),4.062,4.06],[new Date(“2016-06-08”),4.043,4.04],[new Date(“2016-06-09”),4.045,4.04],[new Date(“2016-06-10”),4.070,4.07],[new Date(“2016-06-11”),4.077,4.08],[new Date(“2016-06-12”),4.079,4.08],[new Date(“2016-06-13”),4.087,4.09],[new Date(“2016-06-14”),4.100,4.10],[new Date(“2016-06-15”),4.098,4.10],[new Date(“2016-06-16”),4.102,4.10],[new Date(“2016-06-17”),4.092,4.09],[new Date(“2016-06-18”),4.092,4.09],[new Date(“2016-06-19”),4.085,4.09],[new Date(“2016-06-20”),4.067,4.07],[new Date(“2016-06-21”),4.038,4.04],[new Date(“2016-06-22”),4.033,4.03],[new Date(“2016-06-23”),3.986,3.99],[new Date(“2016-06-24”),4.072,4.07],[new Date(“2016-06-25”),4.094,4.09],[new Date(“2016-06-26”),4.095,4.10],[new Date(“2016-06-27”),4.108,4.11],[new Date(“2016-06-28”),4.071,4.07],[new Date(“2016-06-29”),4.026,4.03],[new Date(“2016-06-30″),4.005,4.00],]);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_6’));
chart.draw(data, options);
}

May, 2016

01      3.9153
02      3.9168
↘0.002, 0.04%
03      3.9625
↘0.046, 1.17%
04      4.0037
↘0.041, 1.04%
05      4.0105
↘0.007, 0.17%
06      4.0015
↗0.009, 0.23%
07      4.0008
↗0.001, 0.02%
08      3.9995
↗0.001, 0.03%
09      4.0346
↘0.035, 0.88%
10      4.0379
↘0.003, 0.08%
11      4.0283
↗0.010, 0.24%
12      4.0267
↗0.002, 0.04%
13      4.0325
↘0.006, 0.14%
14      4.0353
↘0.003, 0.07%
15      4.0357
↘0.000, 0.01%
16      4.0276
↗0.008, 0.20%
17      4.0262
↗0.001, 0.03%
18      4.0519
↘0.026, 0.64%
19      4.0664
↘0.015, 0.36%
20      4.0806
↘0.014, 0.35%
21      4.0791
↗0.002, 0.04%
22      4.0798
↘0.001, 0.02%
23      4.0856
↘0.006, 0.14%
24      4.1044
↘0.019, 0.46%
25      4.0987
↗0.006, 0.14%
26      4.0725
↗0.026, 0.64%
27      4.0846
↘0.012, 0.29%
28      4.0842
↗0.000, 0.01%
29      4.0881
↘0.004, 0.10%
30      4.1092
↘0.021, 0.52%
31      4.1188
↘0.010, 0.23%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),3.915,3.92],[new Date(“2016-05-02”),3.917,3.92],[new Date(“2016-05-03”),3.962,3.96],[new Date(“2016-05-04”),4.004,4.00],[new Date(“2016-05-05”),4.011,4.01],[new Date(“2016-05-06”),4.001,4.00],[new Date(“2016-05-07”),4.001,4.00],[new Date(“2016-05-08”),3.999,4.00],[new Date(“2016-05-09”),4.035,4.03],[new Date(“2016-05-10”),4.038,4.04],[new Date(“2016-05-11”),4.028,4.03],[new Date(“2016-05-12”),4.027,4.03],[new Date(“2016-05-13”),4.032,4.03],[new Date(“2016-05-14”),4.035,4.04],[new Date(“2016-05-15”),4.036,4.04],[new Date(“2016-05-16”),4.028,4.03],[new Date(“2016-05-17”),4.026,4.03],[new Date(“2016-05-18”),4.052,4.05],[new Date(“2016-05-19”),4.066,4.07],[new Date(“2016-05-20”),4.081,4.08],[new Date(“2016-05-21”),4.079,4.08],[new Date(“2016-05-22”),4.080,4.08],[new Date(“2016-05-23”),4.086,4.09],[new Date(“2016-05-24”),4.104,4.10],[new Date(“2016-05-25”),4.099,4.10],[new Date(“2016-05-26”),4.073,4.07],[new Date(“2016-05-27”),4.085,4.08],[new Date(“2016-05-28”),4.084,4.08],[new Date(“2016-05-29”),4.088,4.09],[new Date(“2016-05-30”),4.109,4.11],[new Date(“2016-05-31″),4.119,4.12],]);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_5’));
chart.draw(data, options);
}

April, 2016

01      3.8950
02      3.8921
↗0.003, 0.08%
03      3.8894
↗0.003, 0.07%
04      3.9034
↘0.014, 0.36%
05      3.9244
↘0.021, 0.54%
06      3.9026
↗0.022, 0.56%
07      3.9330
↘0.030, 0.78%
08      3.9091
↗0.024, 0.61%
09      3.9087
↗0.000, 0.01%
10      3.9140
↘0.005, 0.13%
11      3.8901
↗0.024, 0.61%
12      3.8629
↗0.027, 0.70%
13      3.8674
↘0.005, 0.12%
14      3.8883
↘0.021, 0.54%
15      3.8997
↘0.011, 0.29%
16      3.9011
↘0.001, 0.04%
17      3.9003
↗0.001, 0.02%
18      3.9034
↘0.003, 0.08%
19      3.8630
↗0.040, 1.03%
20      3.8737
↘0.011, 0.28%
21      3.9024
↘0.029, 0.74%
22      3.9039
↘0.001, 0.04%
23      3.9066
↘0.003, 0.07%
24      3.9052
↗0.001, 0.03%
25      3.9104
↘0.005, 0.13%
26      3.9181
↘0.008, 0.20%
27      3.9062
↗0.012, 0.30%
28      3.8932
↗0.013, 0.33%
29      3.9122
↘0.019, 0.49%
30      3.9147
↘0.003, 0.06%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-04-01”),3.895,3.89],[new Date(“2016-04-02”),3.892,3.89],[new Date(“2016-04-03”),3.889,3.89],[new Date(“2016-04-04”),3.903,3.90],[new Date(“2016-04-05”),3.924,3.92],[new Date(“2016-04-06”),3.903,3.90],[new Date(“2016-04-07”),3.933,3.93],[new Date(“2016-04-08”),3.909,3.91],[new Date(“2016-04-09”),3.909,3.91],[new Date(“2016-04-10”),3.914,3.91],[new Date(“2016-04-11”),3.890,3.89],[new Date(“2016-04-12”),3.863,3.86],[new Date(“2016-04-13”),3.867,3.87],[new Date(“2016-04-14”),3.888,3.89],[new Date(“2016-04-15”),3.900,3.90],[new Date(“2016-04-16”),3.901,3.90],[new Date(“2016-04-17”),3.900,3.90],[new Date(“2016-04-18”),3.903,3.90],[new Date(“2016-04-19”),3.863,3.86],[new Date(“2016-04-20”),3.874,3.87],[new Date(“2016-04-21”),3.902,3.90],[new Date(“2016-04-22”),3.904,3.90],[new Date(“2016-04-23”),3.907,3.91],[new Date(“2016-04-24”),3.905,3.91],[new Date(“2016-04-25”),3.910,3.91],[new Date(“2016-04-26”),3.918,3.92],[new Date(“2016-04-27”),3.906,3.91],[new Date(“2016-04-28”),3.893,3.89],[new Date(“2016-04-29”),3.912,3.91],[new Date(“2016-04-30″),3.915,3.91],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2016

01      4.1599
02      4.1508
↗0.009, 0.22%
03      4.1340
↗0.017, 0.40%
04      4.0859
↗0.048, 1.16%
05      4.0792
↗0.007, 0.16%
06      4.0825
↘0.003, 0.08%
07      4.0713
↗0.011, 0.28%
08      4.1166
↘0.045, 1.11%
09      4.1102
↗0.006, 0.16%
10      4.1182
↘0.008, 0.19%
11      4.0835
↗0.035, 0.84%
12      4.0783
↗0.005, 0.13%
13      4.0744
↗0.004, 0.10%
14      4.1050
↘0.031, 0.75%
15      4.1438
↘0.039, 0.95%
16      4.1139
↗0.030, 0.72%
17      4.0586
↗0.055, 1.34%
18      4.0532
↗0.005, 0.13%
19      4.0517
↗0.002, 0.04%
20      4.0513
↗0.000, 0.01%
21      4.0459
↗0.005, 0.14%
22      4.0074
↗0.038, 0.95%
23      4.0179
↘0.010, 0.26%
24      4.0175
↗0.000, 0.01%
25      4.0311
↘0.014, 0.34%
26      4.0313
↘0.000, 0.00%
27      4.0316
↘0.000, 0.01%
28      4.0155
↗0.016, 0.40%
29      3.9825
↗0.033, 0.82%
30      3.9365
↗0.046, 1.15%
31      3.8930
↗0.044, 1.11%
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(“2016-03-01”),4.160,4.16],[new Date(“2016-03-02”),4.151,4.15],[new Date(“2016-03-03”),4.134,4.13],[new Date(“2016-03-04”),4.086,4.09],[new Date(“2016-03-05”),4.079,4.08],[new Date(“2016-03-06”),4.083,4.08],[new Date(“2016-03-07”),4.071,4.07],[new Date(“2016-03-08”),4.117,4.12],[new Date(“2016-03-09”),4.110,4.11],[new Date(“2016-03-10”),4.118,4.12],[new Date(“2016-03-11”),4.084,4.08],[new Date(“2016-03-12”),4.078,4.08],[new Date(“2016-03-13”),4.074,4.07],[new Date(“2016-03-14”),4.105,4.11],[new Date(“2016-03-15”),4.144,4.14],[new Date(“2016-03-16”),4.114,4.11],[new Date(“2016-03-17”),4.059,4.06],[new Date(“2016-03-18”),4.053,4.05],[new Date(“2016-03-19”),4.052,4.05],[new Date(“2016-03-20”),4.051,4.05],[new Date(“2016-03-21”),4.046,4.05],[new Date(“2016-03-22”),4.007,4.01],[new Date(“2016-03-23”),4.018,4.02],[new Date(“2016-03-24”),4.017,4.02],[new Date(“2016-03-25”),4.031,4.03],[new Date(“2016-03-26”),4.031,4.03],[new Date(“2016-03-27”),4.032,4.03],[new Date(“2016-03-28”),4.015,4.02],[new Date(“2016-03-29”),3.982,3.98],[new Date(“2016-03-30”),3.937,3.94],[new Date(“2016-03-31″),3.893,3.89],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2016

01      4.1585
02      4.2057
↘0.047, 1.13%
03      4.1789
↗0.027, 0.64%
04      4.1298
↗0.049, 1.17%
05      4.1518
↘0.022, 0.53%
06      4.1555
↘0.004, 0.09%
07      4.1592
↘0.004, 0.09%
08      4.1771
↘0.018, 0.43%
09      4.1731
↗0.004, 0.10%
10      4.1326
↗0.040, 0.97%
11      4.1392
↘0.007, 0.16%
12      4.1484
↘0.009, 0.22%
13      4.1548
↘0.006, 0.15%
14      4.1531
↗0.002, 0.04%
15      4.1448
↗0.008, 0.20%
16      4.1820
↘0.037, 0.90%
17      4.1769
↗0.005, 0.12%
18      4.1842
↘0.007, 0.17%
19      4.2007
↘0.017, 0.39%
20      4.2098
↘0.009, 0.22%
21      4.2083
↗0.001, 0.04%
22      4.1901
↗0.018, 0.43%
23      4.2118
↘0.022, 0.52%
24      4.2172
↘0.005, 0.13%
25      4.2151
↗0.002, 0.05%
26      4.2035
↗0.012, 0.28%
27      4.2022
↗0.001, 0.03%
28      4.2051
↘0.003, 0.07%
29      4.2016
↗0.003, 0.08%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-02-01”),4.158,4.16],[new Date(“2016-02-02”),4.206,4.21],[new Date(“2016-02-03”),4.179,4.18],[new Date(“2016-02-04”),4.130,4.13],[new Date(“2016-02-05”),4.152,4.15],[new Date(“2016-02-06”),4.156,4.16],[new Date(“2016-02-07”),4.159,4.16],[new Date(“2016-02-08”),4.177,4.18],[new Date(“2016-02-09”),4.173,4.17],[new Date(“2016-02-10”),4.133,4.13],[new Date(“2016-02-11”),4.139,4.14],[new Date(“2016-02-12”),4.148,4.15],[new Date(“2016-02-13”),4.155,4.15],[new Date(“2016-02-14”),4.153,4.15],[new Date(“2016-02-15”),4.145,4.14],[new Date(“2016-02-16”),4.182,4.18],[new Date(“2016-02-17”),4.177,4.18],[new Date(“2016-02-18”),4.184,4.18],[new Date(“2016-02-19”),4.201,4.20],[new Date(“2016-02-20”),4.210,4.21],[new Date(“2016-02-21”),4.208,4.21],[new Date(“2016-02-22”),4.190,4.19],[new Date(“2016-02-23”),4.212,4.21],[new Date(“2016-02-24”),4.217,4.22],[new Date(“2016-02-25”),4.215,4.22],[new Date(“2016-02-26”),4.204,4.20],[new Date(“2016-02-27”),4.202,4.20],[new Date(“2016-02-28”),4.205,4.21],[new Date(“2016-02-29″),4.202,4.20],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2016

01      4.3003
02      4.2993
↗0.001, 0.02%
03      4.2987
↗0.001, 0.01%
04      4.3454
↘0.047, 1.09%
05      4.3543
↘0.009, 0.20%
06      4.4020
↘0.048, 1.10%
07      4.4027
↘0.001, 0.02%
08      4.4121
↘0.009, 0.21%
09      4.4107
↗0.001, 0.03%
10      4.4169
↘0.006, 0.14%
11      4.4045
↗0.012, 0.28%
12      4.4014
↗0.003, 0.07%
13      4.3932
↗0.008, 0.19%
14      4.3835
↗0.010, 0.22%
15      4.4129
↘0.029, 0.67%
16      4.4148
↘0.002, 0.04%
17      4.4187
↘0.004, 0.09%
18      4.4012
↗0.018, 0.40%
19      4.3773
↗0.024, 0.54%
20      4.3850
↘0.008, 0.18%
21      4.3658
↗0.019, 0.44%
22      4.2957
↗0.070, 1.61%
23      4.2809
↗0.015, 0.34%
24      4.2762
↗0.005, 0.11%
25      4.2787
↘0.003, 0.06%
26      4.2676
↗0.011, 0.26%
27      4.2584
↗0.009, 0.21%
28      4.1924
↗0.066, 1.55%
29      4.1551
↗0.037, 0.89%
30      4.1450
↗0.010, 0.24%
31      4.1439
↗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(“2016-01-01”),4.300,4.30],[new Date(“2016-01-02”),4.299,4.30],[new Date(“2016-01-03”),4.299,4.30],[new Date(“2016-01-04”),4.345,4.35],[new Date(“2016-01-05”),4.354,4.35],[new Date(“2016-01-06”),4.402,4.40],[new Date(“2016-01-07”),4.403,4.40],[new Date(“2016-01-08”),4.412,4.41],[new Date(“2016-01-09”),4.411,4.41],[new Date(“2016-01-10”),4.417,4.42],[new Date(“2016-01-11”),4.404,4.40],[new Date(“2016-01-12”),4.401,4.40],[new Date(“2016-01-13”),4.393,4.39],[new Date(“2016-01-14”),4.384,4.38],[new Date(“2016-01-15”),4.413,4.41],[new Date(“2016-01-16”),4.415,4.41],[new Date(“2016-01-17”),4.419,4.42],[new Date(“2016-01-18”),4.401,4.40],[new Date(“2016-01-19”),4.377,4.38],[new Date(“2016-01-20”),4.385,4.39],[new Date(“2016-01-21”),4.366,4.37],[new Date(“2016-01-22”),4.296,4.30],[new Date(“2016-01-23”),4.281,4.28],[new Date(“2016-01-24”),4.276,4.28],[new Date(“2016-01-25”),4.279,4.28],[new Date(“2016-01-26”),4.268,4.27],[new Date(“2016-01-27”),4.258,4.26],[new Date(“2016-01-28”),4.192,4.19],[new Date(“2016-01-29”),4.155,4.16],[new Date(“2016-01-30”),4.145,4.14],[new Date(“2016-01-31″),4.144,4.14],]);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_1’));
chart.draw(data, options);
}