South Korean Won KRW 2019 Conversion Rates

  • Opening Value is 1114.796392 KRW per Dollar
  • Closing Value is 1154.750136 KRW per Dollar
  • Change in Value during 2019 is 39.9537 which is 3.58%
  • Best Performance is on 2019-01-30 with 1109.999731 KRW per Dollar
  • Lowest Performance is on 2019-08-12 with 1217.754988 KRW per Dollar
  • Average Value is 1,165.2220 KRW per Dollar
  • Swing Between the higest and the lowest is 107.7553 per Dollar, that is 9.67% compared to the opening value.

USD to KRW Conversion Rates – 12 months

Date 1 USD =
2019-12-31 1,154.7501 KRW
2019-11-30 1,181.7038 KRW
2019-10-31 1,169.5502 KRW
2019-09-30 1,198.1250 KRW
2019-08-31 1,210.5104 KRW
2019-07-31 1,187.3097 KRW
2019-06-30 1,156.6002 KRW
2019-05-31 1,188.9704 KRW
2019-04-30 1,164.2599 KRW
2019-03-31 1,137.7031 KRW
2019-02-28 1,125.2200 KRW
2019-01-31 1,112.5495 KRW
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”),1,154.750,1,154.75],[new Date(“2019-11-30”),1,181.704,1,181.70],[new Date(“2019-10-31”),1,169.550,1,169.55],[new Date(“2019-09-30”),1,198.125,1,198.12],[new Date(“2019-08-31”),1,210.510,1,210.51],[new Date(“2019-07-31”),1,187.310,1,187.31],[new Date(“2019-06-30”),1,156.600,1,156.60],[new Date(“2019-05-31”),1,188.970,1,188.97],[new Date(“2019-04-30”),1,164.260,1,164.26],[new Date(“2019-03-31”),1,137.703,1,137.70],[new Date(“2019-02-28”),1,125.220,1,125.22],[new Date(“2019-01-31”),1,112.550,1,112.55],]);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      1,181.6957
02      1,184.7898
↘3.094, 0.26%
03      1,188.7550
↘3.965, 0.33%
04      1,190.4599
↘1.705, 0.14%
05      1,188.1050
↗2.355, 0.20%
06      1,186.2104
↗1.895, 0.16%
07      1,186.2104
→0.000, 0.00%
08      1,186.2098
↗0.001, 0.00%
09      1,189.6798
↘3.470, 0.29%
10      1,190.0703
↘0.390, 0.03%
11      1,188.9301
↗1.140, 0.10%
12      1,170.5903
↗18.340, 1.54%
13      1,174.6504
↘4.060, 0.35%
14      1,174.6504
→0.000, 0.00%
15      1,174.6503
↗0.000, 0.00%
16      1,168.4603
↗6.190, 0.53%
17      1,162.9050
↗5.555, 0.48%
18      1,165.3598
↘2.455, 0.21%
19      1,162.0604
↗3.299, 0.28%
20      1,159.3904
↗2.670, 0.23%
21      1,159.3904
→0.000, 0.00%
22      1,159.3899
↗0.000, 0.00%
23      1,162.5705
↘3.181, 0.27%
24      1,163.2302
↘0.660, 0.06%
25      1,160.7499
↗2.480, 0.21%
26      1,162.1926
↘1.443, 0.12%
27      1,160.7804
↗1.412, 0.12%
28      1,160.7804
→0.000, 0.00%
29      1,160.7803
↗0.000, 0.00%
30      1,157.3502
↗3.430, 0.30%
31      1,154.7501
↗2.600, 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(“2019-12-01”),1,181.696,1,181.70],[new Date(“2019-12-02”),1,184.790,1,184.79],[new Date(“2019-12-03”),1,188.755,1,188.75],[new Date(“2019-12-04”),1,190.460,1,190.46],[new Date(“2019-12-05”),1,188.105,1,188.10],[new Date(“2019-12-06”),1,186.210,1,186.21],[new Date(“2019-12-07”),1,186.210,1,186.21],[new Date(“2019-12-08”),1,186.210,1,186.21],[new Date(“2019-12-09”),1,189.680,1,189.68],[new Date(“2019-12-10”),1,190.070,1,190.07],[new Date(“2019-12-11”),1,188.930,1,188.93],[new Date(“2019-12-12”),1,170.590,1,170.59],[new Date(“2019-12-13”),1,174.650,1,174.65],[new Date(“2019-12-14”),1,174.650,1,174.65],[new Date(“2019-12-15”),1,174.650,1,174.65],[new Date(“2019-12-16”),1,168.460,1,168.46],[new Date(“2019-12-17”),1,162.905,1,162.90],[new Date(“2019-12-18”),1,165.360,1,165.36],[new Date(“2019-12-19”),1,162.060,1,162.06],[new Date(“2019-12-20”),1,159.390,1,159.39],[new Date(“2019-12-21”),1,159.390,1,159.39],[new Date(“2019-12-22”),1,159.390,1,159.39],[new Date(“2019-12-23”),1,162.570,1,162.57],[new Date(“2019-12-24”),1,163.230,1,163.23],[new Date(“2019-12-25”),1,160.750,1,160.75],[new Date(“2019-12-26”),1,162.193,1,162.19],[new Date(“2019-12-27”),1,160.780,1,160.78],[new Date(“2019-12-28”),1,160.780,1,160.78],[new Date(“2019-12-29”),1,160.780,1,160.78],[new Date(“2019-12-30”),1,157.350,1,157.35],[new Date(“2019-12-31″),1,154.750,1,154.75],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2019

01      1,164.6804
02      1,164.7038
↘0.023, 0.00%
03      1,164.7976
↘0.094, 0.01%
04      1,162.8102
↗1.987, 0.17%
05      1,156.1981
↗6.612, 0.57%
06      1,161.0802
↘4.882, 0.42%
07      1,154.7703
↗6.310, 0.54%
08      1,158.7604
↘3.990, 0.35%
09      1,158.7604
→0.000, 0.00%
10      1,158.7600
↗0.000, 0.00%
11      1,164.8783
↘6.118, 0.53%
12      1,165.9502
↘1.072, 0.09%
13      1,170.8601
↘4.910, 0.42%
14      1,168.5200
↗2.340, 0.20%
15      1,163.6304
↗4.890, 0.42%
16      1,163.6304
→0.000, 0.00%
17      1,163.6298
↗0.001, 0.00%
18      1,166.6901
↘3.060, 0.26%
19      1,167.8199
↘1.130, 0.10%
20      1,170.2598
↘2.440, 0.21%
21      1,176.2301
↘5.970, 0.51%
22      1,180.7504
↘4.520, 0.38%
23      1,180.7504
→0.000, 0.00%
24      1,180.4903
↗0.260, 0.02%
25      1,173.4104
↗7.080, 0.60%
26      1,172.7250
↗0.685, 0.06%
27      1,176.3598
↘3.635, 0.31%
28      1,178.0099
↘1.650, 0.14%
29      1,181.7038
↘3.694, 0.31%
30      1,181.7038
→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”),1,164.680,1,164.68],[new Date(“2019-11-02”),1,164.704,1,164.70],[new Date(“2019-11-03”),1,164.798,1,164.80],[new Date(“2019-11-04”),1,162.810,1,162.81],[new Date(“2019-11-05”),1,156.198,1,156.20],[new Date(“2019-11-06”),1,161.080,1,161.08],[new Date(“2019-11-07”),1,154.770,1,154.77],[new Date(“2019-11-08”),1,158.760,1,158.76],[new Date(“2019-11-09”),1,158.760,1,158.76],[new Date(“2019-11-10”),1,158.760,1,158.76],[new Date(“2019-11-11”),1,164.878,1,164.88],[new Date(“2019-11-12”),1,165.950,1,165.95],[new Date(“2019-11-13”),1,170.860,1,170.86],[new Date(“2019-11-14”),1,168.520,1,168.52],[new Date(“2019-11-15”),1,163.630,1,163.63],[new Date(“2019-11-16”),1,163.630,1,163.63],[new Date(“2019-11-17”),1,163.630,1,163.63],[new Date(“2019-11-18”),1,166.690,1,166.69],[new Date(“2019-11-19”),1,167.820,1,167.82],[new Date(“2019-11-20”),1,170.260,1,170.26],[new Date(“2019-11-21”),1,176.230,1,176.23],[new Date(“2019-11-22”),1,180.750,1,180.75],[new Date(“2019-11-23”),1,180.750,1,180.75],[new Date(“2019-11-24”),1,180.490,1,180.49],[new Date(“2019-11-25”),1,173.410,1,173.41],[new Date(“2019-11-26”),1,172.725,1,172.72],[new Date(“2019-11-27”),1,176.360,1,176.36],[new Date(“2019-11-28”),1,178.010,1,178.01],[new Date(“2019-11-29”),1,181.704,1,181.70],[new Date(“2019-11-30″),1,181.704,1,181.70],]);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      1,202.6902
02      1,204.5702
↘1.880, 0.16%
03      1,201.0802
↗3.490, 0.29%
04      1,192.2504
↗8.830, 0.74%
05      1,192.3038
↘0.053, 0.00%
06      1,192.3303
↘0.027, 0.00%
07      1,196.7597
↘4.429, 0.37%
08      1,199.3703
↘2.611, 0.22%
09      1,197.7801
↗1.590, 0.13%
10      1,189.8101
↗7.970, 0.67%
11      1,183.4850
↗6.325, 0.53%
12      1,183.4850
→0.000, 0.00%
13      1,183.4898
↘0.005, 0.00%
14      1,183.9037
↘0.414, 0.03%
15      1,184.0550
↘0.151, 0.01%
16      1,185.7550
↘1.700, 0.14%
17      1,178.2697
↗7.485, 0.63%
18      1,178.8950
↘0.625, 0.05%
19      1,178.8950
→0.000, 0.00%
20      1,179.0794
↘0.184, 0.02%
21      1,171.6985
↗7.381, 0.63%
22      1,172.2600
↘0.562, 0.05%
23      1,169.8250
↗2.435, 0.21%
24      1,174.3750
↘4.550, 0.39%
25      1,171.8204
↗2.555, 0.22%
26      1,171.8204
→0.000, 0.00%
27      1,171.8203
↗0.000, 0.00%
28      1,167.7596
↗4.061, 0.35%
29      1,166.7502
↗1.009, 0.09%
30      1,164.6993
↗2.051, 0.18%
31      1,169.5502
↘4.851, 0.42%
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”),1,202.690,1,202.69],[new Date(“2019-10-02”),1,204.570,1,204.57],[new Date(“2019-10-03”),1,201.080,1,201.08],[new Date(“2019-10-04”),1,192.250,1,192.25],[new Date(“2019-10-05”),1,192.304,1,192.30],[new Date(“2019-10-06”),1,192.330,1,192.33],[new Date(“2019-10-07”),1,196.760,1,196.76],[new Date(“2019-10-08”),1,199.370,1,199.37],[new Date(“2019-10-09”),1,197.780,1,197.78],[new Date(“2019-10-10”),1,189.810,1,189.81],[new Date(“2019-10-11”),1,183.485,1,183.49],[new Date(“2019-10-12”),1,183.485,1,183.49],[new Date(“2019-10-13”),1,183.490,1,183.49],[new Date(“2019-10-14”),1,183.904,1,183.90],[new Date(“2019-10-15”),1,184.055,1,184.05],[new Date(“2019-10-16”),1,185.755,1,185.75],[new Date(“2019-10-17”),1,178.270,1,178.27],[new Date(“2019-10-18”),1,178.895,1,178.90],[new Date(“2019-10-19”),1,178.895,1,178.90],[new Date(“2019-10-20”),1,179.079,1,179.08],[new Date(“2019-10-21”),1,171.698,1,171.70],[new Date(“2019-10-22”),1,172.260,1,172.26],[new Date(“2019-10-23”),1,169.825,1,169.82],[new Date(“2019-10-24”),1,174.375,1,174.37],[new Date(“2019-10-25”),1,171.820,1,171.82],[new Date(“2019-10-26”),1,171.820,1,171.82],[new Date(“2019-10-27”),1,171.820,1,171.82],[new Date(“2019-10-28”),1,167.760,1,167.76],[new Date(“2019-10-29”),1,166.750,1,166.75],[new Date(“2019-10-30”),1,164.699,1,164.70],[new Date(“2019-10-31″),1,169.550,1,169.55],]);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_10’));
chart.draw(data, options);
}

September, 2019

01      1,210.1497
02      1,213.7701
↘3.620, 0.30%
03      1,210.6050
↗3.165, 0.26%
04      1,203.6902
↗6.915, 0.57%
05      1,197.0003
↗6.690, 0.56%
06      1,192.7804
↗4.220, 0.35%
07      1,192.9038
↘0.123, 0.01%
08      1,192.6196
↗0.284, 0.02%
09      1,191.8603
↗0.759, 0.06%
10      1,190.4993
↗1.361, 0.11%
11      1,190.8016
↘0.302, 0.03%
12      1,181.4500
↗9.352, 0.79%
13      1,179.7204
↗1.730, 0.15%
14      1,179.7204
→0.000, 0.00%
15      1,179.7202
↗0.000, 0.00%
16      1,184.2900
↘4.570, 0.39%
17      1,186.3919
↘2.102, 0.18%
18      1,190.5504
↘4.158, 0.35%
19      1,194.2650
↘3.715, 0.31%
20      1,194.1304
↗0.135, 0.01%
21      1,194.1304
→0.000, 0.00%
22      1,194.1303
↗0.000, 0.00%
23      1,194.0101
↗0.120, 0.01%
24      1,194.9404
↘0.930, 0.08%
25      1,198.8901
↘3.950, 0.33%
26      1,199.5050
↘0.615, 0.05%
27      1,202.9604
↘3.455, 0.29%
28      1,203.0004
↘0.040, 0.00%
29      1,202.9097
↗0.091, 0.01%
30      1,198.1250
↗4.785, 0.40%
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”),1,210.150,1,210.15],[new Date(“2019-09-02”),1,213.770,1,213.77],[new Date(“2019-09-03”),1,210.605,1,210.60],[new Date(“2019-09-04”),1,203.690,1,203.69],[new Date(“2019-09-05”),1,197.000,1,197.00],[new Date(“2019-09-06”),1,192.780,1,192.78],[new Date(“2019-09-07”),1,192.904,1,192.90],[new Date(“2019-09-08”),1,192.620,1,192.62],[new Date(“2019-09-09”),1,191.860,1,191.86],[new Date(“2019-09-10”),1,190.499,1,190.50],[new Date(“2019-09-11”),1,190.802,1,190.80],[new Date(“2019-09-12”),1,181.450,1,181.45],[new Date(“2019-09-13”),1,179.720,1,179.72],[new Date(“2019-09-14”),1,179.720,1,179.72],[new Date(“2019-09-15”),1,179.720,1,179.72],[new Date(“2019-09-16”),1,184.290,1,184.29],[new Date(“2019-09-17”),1,186.392,1,186.39],[new Date(“2019-09-18”),1,190.550,1,190.55],[new Date(“2019-09-19”),1,194.265,1,194.27],[new Date(“2019-09-20”),1,194.130,1,194.13],[new Date(“2019-09-21”),1,194.130,1,194.13],[new Date(“2019-09-22”),1,194.130,1,194.13],[new Date(“2019-09-23”),1,194.010,1,194.01],[new Date(“2019-09-24”),1,194.940,1,194.94],[new Date(“2019-09-25”),1,198.890,1,198.89],[new Date(“2019-09-26”),1,199.505,1,199.50],[new Date(“2019-09-27”),1,202.960,1,202.96],[new Date(“2019-09-28”),1,203.000,1,203.00],[new Date(“2019-09-29”),1,202.910,1,202.91],[new Date(“2019-09-30″),1,198.125,1,198.12],]);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_9’));
chart.draw(data, options);
}

August, 2019

01      1,195.4047
02      1,204.6104
↘9.206, 0.77%
03      1,204.6104
→0.000, 0.00%
04      1,204.9399
↘0.329, 0.03%
05      1,217.4052
↘12.465, 1.03%
06      1,212.6550
↗4.750, 0.39%
07      1,212.3550
↗0.300, 0.02%
08      1,207.1550
↗5.200, 0.43%
09      1,214.4204
↘7.265, 0.60%
10      1,214.4204
→0.000, 0.00%
11      1,214.2025
↗0.218, 0.02%
12      1,217.7550
↘3.553, 0.29%
13      1,206.0050
↗11.750, 0.96%
14      1,215.7650
↘9.760, 0.81%
15      1,212.4991
↗3.266, 0.27%
16      1,208.4904
↗4.009, 0.33%
17      1,208.4904
→0.000, 0.00%
18      1,208.4900
↗0.000, 0.00%
19      1,211.5300
↘3.040, 0.25%
20      1,205.4050
↗6.125, 0.51%
21      1,202.3196
↗3.085, 0.26%
22      1,209.5597
↘7.240, 0.60%
23      1,213.6704
↘4.111, 0.34%
24      1,213.7038
↘0.033, 0.00%
25      1,213.6498
↗0.054, 0.00%
26      1,211.8050
↗1.845, 0.15%
27      1,211.7600
↗0.045, 0.00%
28      1,212.3696
↘0.610, 0.05%
29      1,208.1603
↗4.209, 0.35%
30      1,210.5104
↘2.350, 0.19%
31      1,210.5104
→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”),1,195.405,1,195.40],[new Date(“2019-08-02”),1,204.610,1,204.61],[new Date(“2019-08-03”),1,204.610,1,204.61],[new Date(“2019-08-04”),1,204.940,1,204.94],[new Date(“2019-08-05”),1,217.405,1,217.41],[new Date(“2019-08-06”),1,212.655,1,212.66],[new Date(“2019-08-07”),1,212.355,1,212.35],[new Date(“2019-08-08”),1,207.155,1,207.16],[new Date(“2019-08-09”),1,214.420,1,214.42],[new Date(“2019-08-10”),1,214.420,1,214.42],[new Date(“2019-08-11”),1,214.202,1,214.20],[new Date(“2019-08-12”),1,217.755,1,217.75],[new Date(“2019-08-13”),1,206.005,1,206.01],[new Date(“2019-08-14”),1,215.765,1,215.77],[new Date(“2019-08-15”),1,212.499,1,212.50],[new Date(“2019-08-16”),1,208.490,1,208.49],[new Date(“2019-08-17”),1,208.490,1,208.49],[new Date(“2019-08-18”),1,208.490,1,208.49],[new Date(“2019-08-19”),1,211.530,1,211.53],[new Date(“2019-08-20”),1,205.405,1,205.41],[new Date(“2019-08-21”),1,202.320,1,202.32],[new Date(“2019-08-22”),1,209.560,1,209.56],[new Date(“2019-08-23”),1,213.670,1,213.67],[new Date(“2019-08-24”),1,213.704,1,213.70],[new Date(“2019-08-25”),1,213.650,1,213.65],[new Date(“2019-08-26”),1,211.805,1,211.81],[new Date(“2019-08-27”),1,211.760,1,211.76],[new Date(“2019-08-28”),1,212.370,1,212.37],[new Date(“2019-08-29”),1,208.160,1,208.16],[new Date(“2019-08-30”),1,210.510,1,210.51],[new Date(“2019-08-31″),1,210.510,1,210.51],]);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      1,160.7502
02      1,166.5802
↘5.830, 0.50%
03      1,169.8702
↘3.290, 0.28%
04      1,168.3550
↗1.515, 0.13%
05      1,175.1204
↘6.765, 0.58%
06      1,175.1204
→0.000, 0.00%
07      1,175.0199
↗0.100, 0.01%
08      1,179.9750
↘4.955, 0.42%
09      1,182.4800
↘2.505, 0.21%
10      1,175.6550
↗6.825, 0.58%
11      1,174.2050
↗1.450, 0.12%
12      1,177.3150
↘3.110, 0.26%
13      1,177.3150
→0.000, 0.00%
14      1,177.4097
↘0.095, 0.01%
15      1,179.4299
↘2.020, 0.17%
16      1,178.8800
↗0.550, 0.05%
17      1,179.6901
↘0.810, 0.07%
18      1,171.7699
↗7.920, 0.67%
19      1,176.1038
↘4.334, 0.37%
20      1,176.2038
↘0.100, 0.01%
21      1,176.1097
↗0.094, 0.01%
22      1,175.7600
↗0.350, 0.03%
23      1,178.8016
↘3.042, 0.26%
24      1,177.2014
↗1.600, 0.14%
25      1,183.3903
↘6.189, 0.53%
26      1,184.2504
↘0.860, 0.07%
27      1,184.2504
→0.000, 0.00%
28      1,184.3501
↘0.100, 0.01%
29      1,182.6498
↗1.700, 0.14%
30      1,181.6503
↗1.000, 0.08%
31      1,187.3097
↘5.659, 0.48%
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”),1,160.750,1,160.75],[new Date(“2019-07-02”),1,166.580,1,166.58],[new Date(“2019-07-03”),1,169.870,1,169.87],[new Date(“2019-07-04”),1,168.355,1,168.35],[new Date(“2019-07-05”),1,175.120,1,175.12],[new Date(“2019-07-06”),1,175.120,1,175.12],[new Date(“2019-07-07”),1,175.020,1,175.02],[new Date(“2019-07-08”),1,179.975,1,179.98],[new Date(“2019-07-09”),1,182.480,1,182.48],[new Date(“2019-07-10”),1,175.655,1,175.65],[new Date(“2019-07-11”),1,174.205,1,174.21],[new Date(“2019-07-12”),1,177.315,1,177.32],[new Date(“2019-07-13”),1,177.315,1,177.32],[new Date(“2019-07-14”),1,177.410,1,177.41],[new Date(“2019-07-15”),1,179.430,1,179.43],[new Date(“2019-07-16”),1,178.880,1,178.88],[new Date(“2019-07-17”),1,179.690,1,179.69],[new Date(“2019-07-18”),1,171.770,1,171.77],[new Date(“2019-07-19”),1,176.104,1,176.10],[new Date(“2019-07-20”),1,176.204,1,176.20],[new Date(“2019-07-21”),1,176.110,1,176.11],[new Date(“2019-07-22”),1,175.760,1,175.76],[new Date(“2019-07-23”),1,178.802,1,178.80],[new Date(“2019-07-24”),1,177.201,1,177.20],[new Date(“2019-07-25”),1,183.390,1,183.39],[new Date(“2019-07-26”),1,184.250,1,184.25],[new Date(“2019-07-27”),1,184.250,1,184.25],[new Date(“2019-07-28”),1,184.350,1,184.35],[new Date(“2019-07-29”),1,182.650,1,182.65],[new Date(“2019-07-30”),1,181.650,1,181.65],[new Date(“2019-07-31″),1,187.310,1,187.31],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}

June, 2019

01      1,188.9704
02      1,188.8700
↗0.100, 0.01%
03      1,178.4500
↗10.420, 0.88%
04      1,177.0498
↗1.400, 0.12%
05      1,179.7401
↘2.690, 0.23%
06      1,177.5502
↗2.190, 0.19%
07      1,182.0804
↘4.530, 0.38%
08      1,182.0804
→0.000, 0.00%
09      1,181.7597
↗0.321, 0.03%
10      1,183.6012
↘1.841, 0.16%
11      1,178.0797
↗5.521, 0.47%
12      1,183.5297
↘5.450, 0.46%
13      1,182.0802
↗1.450, 0.12%
14      1,186.4704
↘4.390, 0.37%
15      1,186.9038
↘0.433, 0.04%
16      1,186.8903
↗0.014, 0.00%
17      1,185.4502
↗1.440, 0.12%
18      1,173.6802
↗11.770, 0.99%
19      1,171.3059
↗2.374, 0.20%
20      1,158.2103
↗13.096, 1.12%
21      1,159.1704
↘0.960, 0.08%
22      1,159.1704
→0.000, 0.00%
23      1,159.3099
↘0.139, 0.01%
24      1,153.4698
↗5.840, 0.50%
25      1,156.7096
↘3.240, 0.28%
26      1,153.4976
↗3.212, 0.28%
27      1,156.5101
↘3.012, 0.26%
28      1,156.4304
↗0.080, 0.01%
29      1,156.4304
→0.000, 0.00%
30      1,156.6002
↘0.170, 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(“2019-06-01”),1,188.970,1,188.97],[new Date(“2019-06-02”),1,188.870,1,188.87],[new Date(“2019-06-03”),1,178.450,1,178.45],[new Date(“2019-06-04”),1,177.050,1,177.05],[new Date(“2019-06-05”),1,179.740,1,179.74],[new Date(“2019-06-06”),1,177.550,1,177.55],[new Date(“2019-06-07”),1,182.080,1,182.08],[new Date(“2019-06-08”),1,182.080,1,182.08],[new Date(“2019-06-09”),1,181.760,1,181.76],[new Date(“2019-06-10”),1,183.601,1,183.60],[new Date(“2019-06-11”),1,178.080,1,178.08],[new Date(“2019-06-12”),1,183.530,1,183.53],[new Date(“2019-06-13”),1,182.080,1,182.08],[new Date(“2019-06-14”),1,186.470,1,186.47],[new Date(“2019-06-15”),1,186.904,1,186.90],[new Date(“2019-06-16”),1,186.890,1,186.89],[new Date(“2019-06-17”),1,185.450,1,185.45],[new Date(“2019-06-18”),1,173.680,1,173.68],[new Date(“2019-06-19”),1,171.306,1,171.31],[new Date(“2019-06-20”),1,158.210,1,158.21],[new Date(“2019-06-21”),1,159.170,1,159.17],[new Date(“2019-06-22”),1,159.170,1,159.17],[new Date(“2019-06-23”),1,159.310,1,159.31],[new Date(“2019-06-24”),1,153.470,1,153.47],[new Date(“2019-06-25”),1,156.710,1,156.71],[new Date(“2019-06-26”),1,153.498,1,153.50],[new Date(“2019-06-27”),1,156.510,1,156.51],[new Date(“2019-06-28”),1,156.430,1,156.43],[new Date(“2019-06-29”),1,156.430,1,156.43],[new Date(“2019-06-30″),1,156.600,1,156.60],]);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_6’));
chart.draw(data, options);
}

May, 2019

01      1,165.6700
02      1,167.1099
↘1.440, 0.12%
03      1,164.3304
↗2.779, 0.24%
04      1,164.3304
→0.000, 0.00%
05      1,164.3301
↗0.000, 0.00%
06      1,169.0497
↘4.720, 0.41%
07      1,172.2976
↘3.248, 0.28%
08      1,173.1900
↘0.892, 0.08%
09      1,180.1904
↘7.000, 0.60%
10      1,175.2038
↗4.987, 0.42%
11      1,175.2038
→0.000, 0.00%
12      1,175.4200
↘0.216, 0.02%
13      1,188.1799
↘12.760, 1.09%
14      1,187.9302
↗0.250, 0.02%
15      1,187.0403
↗0.890, 0.07%
16      1,191.4904
↘4.450, 0.37%
17      1,194.7404
↘3.250, 0.27%
18      1,194.7404
→0.000, 0.00%
19      1,194.8302
↘0.090, 0.01%
20      1,194.3300
↗0.500, 0.04%
21      1,192.7201
↗1.610, 0.13%
22      1,190.8023
↗1.918, 0.16%
23      1,189.7709
↗1.031, 0.09%
24      1,186.0004
↗3.771, 0.32%
25      1,185.8038
↗0.197, 0.02%
26      1,186.0001
↘0.196, 0.02%
27      1,183.3099
↗2.690, 0.23%
28      1,187.6798
↘4.370, 0.37%
29      1,193.2095
↘5.530, 0.47%
30      1,188.4800
↗4.730, 0.40%
31      1,188.9704
↘0.490, 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(“2019-05-01”),1,165.670,1,165.67],[new Date(“2019-05-02”),1,167.110,1,167.11],[new Date(“2019-05-03”),1,164.330,1,164.33],[new Date(“2019-05-04”),1,164.330,1,164.33],[new Date(“2019-05-05”),1,164.330,1,164.33],[new Date(“2019-05-06”),1,169.050,1,169.05],[new Date(“2019-05-07”),1,172.298,1,172.30],[new Date(“2019-05-08”),1,173.190,1,173.19],[new Date(“2019-05-09”),1,180.190,1,180.19],[new Date(“2019-05-10”),1,175.204,1,175.20],[new Date(“2019-05-11”),1,175.204,1,175.20],[new Date(“2019-05-12”),1,175.420,1,175.42],[new Date(“2019-05-13”),1,188.180,1,188.18],[new Date(“2019-05-14”),1,187.930,1,187.93],[new Date(“2019-05-15”),1,187.040,1,187.04],[new Date(“2019-05-16”),1,191.490,1,191.49],[new Date(“2019-05-17”),1,194.740,1,194.74],[new Date(“2019-05-18”),1,194.740,1,194.74],[new Date(“2019-05-19”),1,194.830,1,194.83],[new Date(“2019-05-20”),1,194.330,1,194.33],[new Date(“2019-05-21”),1,192.720,1,192.72],[new Date(“2019-05-22”),1,190.802,1,190.80],[new Date(“2019-05-23”),1,189.771,1,189.77],[new Date(“2019-05-24”),1,186.000,1,186.00],[new Date(“2019-05-25”),1,185.804,1,185.80],[new Date(“2019-05-26”),1,186.000,1,186.00],[new Date(“2019-05-27”),1,183.310,1,183.31],[new Date(“2019-05-28”),1,187.680,1,187.68],[new Date(“2019-05-29”),1,193.210,1,193.21],[new Date(“2019-05-30”),1,188.480,1,188.48],[new Date(“2019-05-31″),1,188.970,1,188.97],]);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      1,133.6698
02      1,137.3903
↘3.721, 0.33%
03      1,134.5298
↗2.860, 0.25%
04      1,136.3008
↘1.771, 0.16%
05      1,137.6904
↘1.390, 0.12%
06      1,137.6904
→0.000, 0.00%
07      1,137.6898
↗0.001, 0.00%
08      1,142.1102
↘4.420, 0.39%
09      1,141.0953
↗1.015, 0.09%
10      1,137.9080
↗3.187, 0.28%
11      1,141.9902
↘4.082, 0.36%
12      1,134.7204
↗7.270, 0.64%
13      1,134.7038
↗0.017, 0.00%
14      1,134.4299
↗0.274, 0.02%
15      1,135.1908
↘0.761, 0.07%
16      1,137.6979
↘2.507, 0.22%
17      1,132.1973
↗5.501, 0.48%
18      1,137.1100
↘4.913, 0.43%
19      1,136.5850
↗0.525, 0.05%
20      1,136.5850
→0.000, 0.00%
21      1,135.5024
↗1.083, 0.10%
22      1,141.0398
↘5.537, 0.49%
23      1,143.0000
↘1.960, 0.17%
24      1,156.2602
↘13.260, 1.16%
25      1,159.9995
↘3.739, 0.32%
26      1,158.9104
↗1.089, 0.09%
27      1,158.9038
↗0.007, 0.00%
28      1,158.7301
↗0.174, 0.01%
29      1,159.7901
↘1.060, 0.09%
30      1,164.2599
↘4.470, 0.39%
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”),1,133.670,1,133.67],[new Date(“2019-04-02”),1,137.390,1,137.39],[new Date(“2019-04-03”),1,134.530,1,134.53],[new Date(“2019-04-04”),1,136.301,1,136.30],[new Date(“2019-04-05”),1,137.690,1,137.69],[new Date(“2019-04-06”),1,137.690,1,137.69],[new Date(“2019-04-07”),1,137.690,1,137.69],[new Date(“2019-04-08”),1,142.110,1,142.11],[new Date(“2019-04-09”),1,141.095,1,141.10],[new Date(“2019-04-10”),1,137.908,1,137.91],[new Date(“2019-04-11”),1,141.990,1,141.99],[new Date(“2019-04-12”),1,134.720,1,134.72],[new Date(“2019-04-13”),1,134.704,1,134.70],[new Date(“2019-04-14”),1,134.430,1,134.43],[new Date(“2019-04-15”),1,135.191,1,135.19],[new Date(“2019-04-16”),1,137.698,1,137.70],[new Date(“2019-04-17”),1,132.197,1,132.20],[new Date(“2019-04-18”),1,137.110,1,137.11],[new Date(“2019-04-19”),1,136.585,1,136.59],[new Date(“2019-04-20”),1,136.585,1,136.59],[new Date(“2019-04-21”),1,135.502,1,135.50],[new Date(“2019-04-22”),1,141.040,1,141.04],[new Date(“2019-04-23”),1,143.000,1,143.00],[new Date(“2019-04-24”),1,156.260,1,156.26],[new Date(“2019-04-25”),1,160.000,1,160.00],[new Date(“2019-04-26”),1,158.910,1,158.91],[new Date(“2019-04-27”),1,158.904,1,158.90],[new Date(“2019-04-28”),1,158.730,1,158.73],[new Date(“2019-04-29”),1,159.790,1,159.79],[new Date(“2019-04-30″),1,164.260,1,164.26],]);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      1,127.6604
02      1,127.6604
→0.000, 0.00%
03      1,127.8100
↘0.150, 0.01%
04      1,129.1499
↘1.340, 0.12%
05      1,127.2011
↗1.949, 0.17%
06      1,128.0001
↘0.799, 0.07%
07      1,134.0699
↘6.070, 0.54%
08      1,133.8804
↗0.190, 0.02%
09      1,133.8804
→0.000, 0.00%
10      1,135.0599
↘1.180, 0.10%
11      1,131.7704
↗3.289, 0.29%
12      1,128.2698
↗3.501, 0.31%
13      1,130.5900
↘2.320, 0.21%
14      1,136.4204
↘5.830, 0.52%
15      1,134.1038
↗2.317, 0.20%
16      1,134.1038
→0.000, 0.00%
17      1,133.7301
↗0.374, 0.03%
18      1,132.1984
↗1.532, 0.14%
19      1,130.7196
↗1.479, 0.13%
20      1,126.0001
↗4.719, 0.42%
21      1,128.7700
↘2.770, 0.25%
22      1,135.5504
↘6.780, 0.60%
23      1,136.1038
↘0.553, 0.05%
24      1,136.1400
↘0.036, 0.00%
25      1,134.8496
↗1.290, 0.11%
26      1,134.9300
↘0.080, 0.01%
27      1,139.4982
↘4.568, 0.40%
28      1,135.3201
↗4.178, 0.37%
29      1,136.9038
↘1.584, 0.14%
30      1,136.9038
→0.000, 0.00%
31      1,137.7031
↘0.799, 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(“2019-03-01”),1,127.660,1,127.66],[new Date(“2019-03-02”),1,127.660,1,127.66],[new Date(“2019-03-03”),1,127.810,1,127.81],[new Date(“2019-03-04”),1,129.150,1,129.15],[new Date(“2019-03-05”),1,127.201,1,127.20],[new Date(“2019-03-06”),1,128.000,1,128.00],[new Date(“2019-03-07”),1,134.070,1,134.07],[new Date(“2019-03-08”),1,133.880,1,133.88],[new Date(“2019-03-09”),1,133.880,1,133.88],[new Date(“2019-03-10”),1,135.060,1,135.06],[new Date(“2019-03-11”),1,131.770,1,131.77],[new Date(“2019-03-12”),1,128.270,1,128.27],[new Date(“2019-03-13”),1,130.590,1,130.59],[new Date(“2019-03-14”),1,136.420,1,136.42],[new Date(“2019-03-15”),1,134.104,1,134.10],[new Date(“2019-03-16”),1,134.104,1,134.10],[new Date(“2019-03-17”),1,133.730,1,133.73],[new Date(“2019-03-18”),1,132.198,1,132.20],[new Date(“2019-03-19”),1,130.720,1,130.72],[new Date(“2019-03-20”),1,126.000,1,126.00],[new Date(“2019-03-21”),1,128.770,1,128.77],[new Date(“2019-03-22”),1,135.550,1,135.55],[new Date(“2019-03-23”),1,136.104,1,136.10],[new Date(“2019-03-24”),1,136.140,1,136.14],[new Date(“2019-03-25”),1,134.850,1,134.85],[new Date(“2019-03-26”),1,134.930,1,134.93],[new Date(“2019-03-27”),1,139.498,1,139.50],[new Date(“2019-03-28”),1,135.320,1,135.32],[new Date(“2019-03-29”),1,136.904,1,136.90],[new Date(“2019-03-30”),1,136.904,1,136.90],[new Date(“2019-03-31″),1,137.703,1,137.70],]);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      1,119.0004
02      1,119.0004
→0.000, 0.00%
03      1,119.3014
↘0.301, 0.03%
04      1,122.1018
↘2.800, 0.25%
05      1,119.6971
↗2.405, 0.21%
06      1,122.6298
↘2.933, 0.26%
07      1,124.7499
↘2.120, 0.19%
08      1,123.7904
↗0.959, 0.09%
09      1,124.5038
↘0.713, 0.06%
10      1,123.8799
↗0.624, 0.06%
11      1,126.0198
↘2.140, 0.19%
12      1,121.3011
↗4.719, 0.42%
13      1,124.7198
↘3.419, 0.30%
14      1,129.3027
↘4.583, 0.41%
15      1,126.3404
↗2.962, 0.26%
16      1,126.3404
→0.000, 0.00%
17      1,126.3100
↗0.030, 0.00%
18      1,125.2798
↗1.030, 0.09%
19      1,122.4198
↗2.860, 0.25%
20      1,122.7200
↘0.300, 0.03%
21      1,125.1499
↘2.430, 0.22%
22      1,122.9904
↗2.160, 0.19%
23      1,122.9038
↗0.087, 0.01%
24      1,123.3099
↘0.406, 0.04%
25      1,118.2030
↗5.107, 0.45%
26      1,115.3015
↗2.902, 0.26%
27      1,117.0971
↘1.796, 0.16%
28      1,125.2200
↘8.123, 0.73%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-02-01”),1,119.000,1,119.00],[new Date(“2019-02-02”),1,119.000,1,119.00],[new Date(“2019-02-03”),1,119.301,1,119.30],[new Date(“2019-02-04”),1,122.102,1,122.10],[new Date(“2019-02-05”),1,119.697,1,119.70],[new Date(“2019-02-06”),1,122.630,1,122.63],[new Date(“2019-02-07”),1,124.750,1,124.75],[new Date(“2019-02-08”),1,123.790,1,123.79],[new Date(“2019-02-09”),1,124.504,1,124.50],[new Date(“2019-02-10”),1,123.880,1,123.88],[new Date(“2019-02-11”),1,126.020,1,126.02],[new Date(“2019-02-12”),1,121.301,1,121.30],[new Date(“2019-02-13”),1,124.720,1,124.72],[new Date(“2019-02-14”),1,129.303,1,129.30],[new Date(“2019-02-15”),1,126.340,1,126.34],[new Date(“2019-02-16”),1,126.340,1,126.34],[new Date(“2019-02-17”),1,126.310,1,126.31],[new Date(“2019-02-18”),1,125.280,1,125.28],[new Date(“2019-02-19”),1,122.420,1,122.42],[new Date(“2019-02-20”),1,122.720,1,122.72],[new Date(“2019-02-21”),1,125.150,1,125.15],[new Date(“2019-02-22”),1,122.990,1,122.99],[new Date(“2019-02-23”),1,122.904,1,122.90],[new Date(“2019-02-24”),1,123.310,1,123.31],[new Date(“2019-02-25”),1,118.203,1,118.20],[new Date(“2019-02-26”),1,115.302,1,115.30],[new Date(“2019-02-27”),1,117.097,1,117.10],[new Date(“2019-02-28″),1,125.220,1,125.22],]);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      1,114.7964
02      1,123.1799
↘8.383, 0.75%
03      1,125.1203
↘1.940, 0.17%
04      1,116.8504
↗8.270, 0.74%
05      1,116.8504
→0.000, 0.00%
06      1,115.3993
↗1.451, 0.13%
07      1,117.3980
↘1.999, 0.18%
08      1,122.0495
↘4.652, 0.42%
09      1,119.6702
↗2.379, 0.21%
10      1,117.5504
↗2.120, 0.19%
11      1,118.4604
↘0.910, 0.08%
12      1,118.4604
→0.000, 0.00%
13      1,119.5787
↘1.118, 0.10%
14      1,122.9997
↘3.421, 0.31%
15      1,123.4007
↘0.401, 0.04%
16      1,119.7703
↗3.630, 0.32%
17      1,121.5499
↘1.780, 0.16%
18      1,125.8038
↘4.254, 0.38%
19      1,125.8038
→0.000, 0.00%
20      1,126.7903
↘0.987, 0.09%
21      1,133.3703
↘6.580, 0.58%
22      1,131.1496
↗2.221, 0.20%
23      1,126.3301
↗4.820, 0.43%
24      1,127.7496
↘1.420, 0.13%
25      1,118.3204
↗9.429, 0.84%
26      1,119.0004
↘0.680, 0.06%
27      1,119.0102
↘0.010, 0.00%
28      1,120.7123
↘1.702, 0.15%
29      1,118.8703
↗1.842, 0.16%
30      1,109.9997
↗8.871, 0.79%
31      1,112.5495
↘2.550, 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(“2019-01-01”),1,114.796,1,114.80],[new Date(“2019-01-02”),1,123.180,1,123.18],[new Date(“2019-01-03”),1,125.120,1,125.12],[new Date(“2019-01-04”),1,116.850,1,116.85],[new Date(“2019-01-05”),1,116.850,1,116.85],[new Date(“2019-01-06”),1,115.399,1,115.40],[new Date(“2019-01-07”),1,117.398,1,117.40],[new Date(“2019-01-08”),1,122.050,1,122.05],[new Date(“2019-01-09”),1,119.670,1,119.67],[new Date(“2019-01-10”),1,117.550,1,117.55],[new Date(“2019-01-11”),1,118.460,1,118.46],[new Date(“2019-01-12”),1,118.460,1,118.46],[new Date(“2019-01-13”),1,119.579,1,119.58],[new Date(“2019-01-14”),1,123.000,1,123.00],[new Date(“2019-01-15”),1,123.401,1,123.40],[new Date(“2019-01-16”),1,119.770,1,119.77],[new Date(“2019-01-17”),1,121.550,1,121.55],[new Date(“2019-01-18”),1,125.804,1,125.80],[new Date(“2019-01-19”),1,125.804,1,125.80],[new Date(“2019-01-20”),1,126.790,1,126.79],[new Date(“2019-01-21”),1,133.370,1,133.37],[new Date(“2019-01-22”),1,131.150,1,131.15],[new Date(“2019-01-23”),1,126.330,1,126.33],[new Date(“2019-01-24”),1,127.750,1,127.75],[new Date(“2019-01-25”),1,118.320,1,118.32],[new Date(“2019-01-26”),1,119.000,1,119.00],[new Date(“2019-01-27”),1,119.010,1,119.01],[new Date(“2019-01-28”),1,120.712,1,120.71],[new Date(“2019-01-29”),1,118.870,1,118.87],[new Date(“2019-01-30”),1,110.000,1,110.00],[new Date(“2019-01-31″),1,112.550,1,112.55],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}