South Korean Won KRW 2018 Conversion Rates

  • Opening Value is 1064.609985 KRW per Dollar
  • Closing Value is 1113.501607 KRW per Dollar
  • Change in Value during 2018 is 48.8916 which is 4.59%
  • Best Performance is on 2018-04-03 with 1053.359985 KRW per Dollar
  • Lowest Performance is on 2018-10-10 with 1143.850477 KRW per Dollar
  • Average Value is 1,099.7635 KRW per Dollar
  • Swing Between the higest and the lowest is 90.4905 per Dollar, that is 8.50% compared to the opening value.

USD to KRW Conversion Rates – 12 months

Date 1 USD =
2018-12-31 1,113.5016 KRW
2018-11-30 1,120.5304 KRW
2018-10-31 1,141.9696 KRW
2018-09-30 1,110.0096 KRW
2018-08-31 1,115.6404 KRW
2018-07-31 1,113.1976 KRW
2018-06-30 1,113.4100 KRW
2018-05-31 1,079.2900 KRW
2018-04-30 1,068.4900 KRW
2018-03-31 1,059.7504 KRW
2018-02-28 1,084.7800 KRW
2018-01-31 1,068.5100 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(“2018-12-31”),1,113.502,1,113.50],[new Date(“2018-11-30”),1,120.530,1,120.53],[new Date(“2018-10-31”),1,141.970,1,141.97],[new Date(“2018-09-30”),1,110.010,1,110.01],[new Date(“2018-08-31”),1,115.640,1,115.64],[new Date(“2018-07-31”),1,113.198,1,113.20],[new Date(“2018-06-30”),1,113.410,1,113.41],[new Date(“2018-05-31”),1,079.290,1,079.29],[new Date(“2018-04-30”),1,068.490,1,068.49],[new Date(“2018-03-31”),1,059.750,1,059.75],[new Date(“2018-02-28”),1,084.780,1,084.78],[new Date(“2018-01-31”),1,068.510,1,068.51],]);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, 2018

01      1,120.5038
02      1,118.1500
↗2.354, 0.21%
03      1,109.3076
↗8.842, 0.79%
04      1,111.6301
↘2.322, 0.21%
05      1,112.6602
↘1.030, 0.09%
06      1,120.5991
↘7.939, 0.71%
07      1,124.9304
↘4.331, 0.39%
08      1,124.9304
→0.000, 0.00%
09      1,123.6668
↗1.264, 0.11%
10      1,132.5025
↘8.836, 0.79%
11      1,128.6203
↗3.882, 0.34%
12      1,124.8497
↗3.771, 0.33%
13      1,128.0197
↘3.170, 0.28%
14      1,132.6904
↘4.671, 0.41%
15      1,132.6904
→0.000, 0.00%
16      1,132.6502
↗0.040, 0.00%
17      1,129.1502
↗3.500, 0.31%
18      1,126.0702
↗3.080, 0.27%
19      1,129.1297
↘3.059, 0.27%
20      1,121.0299
↗8.100, 0.72%
21      1,129.0204
↘7.991, 0.71%
22      1,129.0204
→0.000, 0.00%
23      1,128.5088
↗0.512, 0.05%
24      1,124.2300
↗4.279, 0.38%
25      1,123.6298
↗0.600, 0.05%
26      1,123.5250
↗0.105, 0.01%
27      1,120.6009
↗2.924, 0.26%
28      1,117.0504
↗3.551, 0.32%
29      1,117.0504
→0.000, 0.00%
30      1,117.3009
↘0.251, 0.02%
31      1,113.5016
↗3.799, 0.34%
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(“2018-12-01”),1,120.504,1,120.50],[new Date(“2018-12-02”),1,118.150,1,118.15],[new Date(“2018-12-03”),1,109.308,1,109.31],[new Date(“2018-12-04”),1,111.630,1,111.63],[new Date(“2018-12-05”),1,112.660,1,112.66],[new Date(“2018-12-06”),1,120.599,1,120.60],[new Date(“2018-12-07”),1,124.930,1,124.93],[new Date(“2018-12-08”),1,124.930,1,124.93],[new Date(“2018-12-09”),1,123.667,1,123.67],[new Date(“2018-12-10”),1,132.502,1,132.50],[new Date(“2018-12-11”),1,128.620,1,128.62],[new Date(“2018-12-12”),1,124.850,1,124.85],[new Date(“2018-12-13”),1,128.020,1,128.02],[new Date(“2018-12-14”),1,132.690,1,132.69],[new Date(“2018-12-15”),1,132.690,1,132.69],[new Date(“2018-12-16”),1,132.650,1,132.65],[new Date(“2018-12-17”),1,129.150,1,129.15],[new Date(“2018-12-18”),1,126.070,1,126.07],[new Date(“2018-12-19”),1,129.130,1,129.13],[new Date(“2018-12-20”),1,121.030,1,121.03],[new Date(“2018-12-21”),1,129.020,1,129.02],[new Date(“2018-12-22”),1,129.020,1,129.02],[new Date(“2018-12-23”),1,128.509,1,128.51],[new Date(“2018-12-24”),1,124.230,1,124.23],[new Date(“2018-12-25”),1,123.630,1,123.63],[new Date(“2018-12-26”),1,123.525,1,123.53],[new Date(“2018-12-27”),1,120.601,1,120.60],[new Date(“2018-12-28”),1,117.050,1,117.05],[new Date(“2018-12-29”),1,117.050,1,117.05],[new Date(“2018-12-30”),1,117.301,1,117.30],[new Date(“2018-12-31″),1,113.502,1,113.50],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2018

01      1,130.0498
02      1,118.0004
↗12.049, 1.07%
03      1,118.0004
→0.000, 0.00%
04      1,117.1072
↗0.893, 0.08%
05      1,122.5598
↘5.453, 0.49%
06      1,120.9497
↗1.610, 0.14%
07      1,116.3702
↗4.580, 0.41%
08      1,120.5701
↘4.200, 0.38%
09      1,130.6404
↘10.070, 0.90%
10      1,130.6204
↗0.020, 0.00%
11      1,131.9498
↘1.329, 0.12%
12      1,138.4600
↘6.510, 0.58%
13      1,132.1299
↗6.330, 0.56%
14      1,132.2291
↘0.099, 0.01%
15      1,128.0001
↗4.229, 0.37%
16      1,121.5038
↗6.496, 0.58%
17      1,121.4038
↗0.100, 0.01%
18      1,121.3969
↗0.007, 0.00%
19      1,127.1903
↘5.793, 0.52%
20      1,130.3974
↘3.207, 0.28%
21      1,138.3099
↘7.912, 0.70%
22      1,136.4937
↗1.816, 0.16%
23      1,133.9038
↗2.590, 0.23%
24      1,133.5038
↗0.400, 0.04%
25      1,134.4969
↘0.993, 0.09%
26      1,130.0300
↗4.467, 0.39%
27      1,131.3700
↘1.340, 0.12%
28      1,122.1203
↗9.250, 0.82%
29      1,118.0199
↗4.100, 0.37%
30      1,120.5304
↘2.510, 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(“2018-11-01”),1,130.050,1,130.05],[new Date(“2018-11-02”),1,118.000,1,118.00],[new Date(“2018-11-03”),1,118.000,1,118.00],[new Date(“2018-11-04”),1,117.107,1,117.11],[new Date(“2018-11-05”),1,122.560,1,122.56],[new Date(“2018-11-06”),1,120.950,1,120.95],[new Date(“2018-11-07”),1,116.370,1,116.37],[new Date(“2018-11-08”),1,120.570,1,120.57],[new Date(“2018-11-09”),1,130.640,1,130.64],[new Date(“2018-11-10”),1,130.620,1,130.62],[new Date(“2018-11-11”),1,131.950,1,131.95],[new Date(“2018-11-12”),1,138.460,1,138.46],[new Date(“2018-11-13”),1,132.130,1,132.13],[new Date(“2018-11-14”),1,132.229,1,132.23],[new Date(“2018-11-15”),1,128.000,1,128.00],[new Date(“2018-11-16”),1,121.504,1,121.50],[new Date(“2018-11-17”),1,121.404,1,121.40],[new Date(“2018-11-18”),1,121.397,1,121.40],[new Date(“2018-11-19”),1,127.190,1,127.19],[new Date(“2018-11-20”),1,130.397,1,130.40],[new Date(“2018-11-21”),1,138.310,1,138.31],[new Date(“2018-11-22”),1,136.494,1,136.49],[new Date(“2018-11-23”),1,133.904,1,133.90],[new Date(“2018-11-24”),1,133.504,1,133.50],[new Date(“2018-11-25”),1,134.497,1,134.50],[new Date(“2018-11-26”),1,130.030,1,130.03],[new Date(“2018-11-27”),1,131.370,1,131.37],[new Date(“2018-11-28”),1,122.120,1,122.12],[new Date(“2018-11-29”),1,118.020,1,118.02],[new Date(“2018-11-30″),1,120.530,1,120.53],]);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, 2018

01      1,113.2499
02      1,118.4983
↘5.248, 0.47%
03      1,126.4202
↘7.922, 0.71%
04      1,133.9009
↘7.481, 0.66%
05      1,132.0004
↗1.901, 0.17%
06      1,132.1038
↘0.103, 0.01%
07      1,132.0939
↗0.010, 0.00%
08      1,134.1974
↘2.103, 0.19%
09      1,133.3993
↗0.798, 0.07%
10      1,143.8505
↘10.451, 0.92%
11      1,135.3012
↗8.549, 0.75%
12      1,131.3504
↗3.951, 0.35%
13      1,131.3504
→0.000, 0.00%
14      1,132.1900
↘0.840, 0.07%
15      1,136.1699
↘3.980, 0.35%
16      1,123.1502
↗13.020, 1.15%
17      1,128.0972
↘4.947, 0.44%
18      1,137.5970
↘9.500, 0.84%
19      1,132.1204
↗5.477, 0.48%
20      1,132.1204
→0.000, 0.00%
21      1,132.5965
↘0.476, 0.04%
22      1,132.2500
↗0.346, 0.03%
23      1,137.6399
↘5.390, 0.48%
24      1,138.5603
↘0.920, 0.08%
25      1,136.2298
↗2.331, 0.20%
26      1,140.3504
↘4.121, 0.36%
27      1,140.3504
→0.000, 0.00%
28      1,140.5016
↘0.151, 0.01%
29      1,143.0800
↘2.578, 0.23%
30      1,138.7012
↗4.379, 0.38%
31      1,141.9696
↘3.268, 0.29%
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(“2018-10-01”),1,113.250,1,113.25],[new Date(“2018-10-02”),1,118.498,1,118.50],[new Date(“2018-10-03”),1,126.420,1,126.42],[new Date(“2018-10-04”),1,133.901,1,133.90],[new Date(“2018-10-05”),1,132.000,1,132.00],[new Date(“2018-10-06”),1,132.104,1,132.10],[new Date(“2018-10-07”),1,132.094,1,132.09],[new Date(“2018-10-08”),1,134.197,1,134.20],[new Date(“2018-10-09”),1,133.399,1,133.40],[new Date(“2018-10-10”),1,143.850,1,143.85],[new Date(“2018-10-11”),1,135.301,1,135.30],[new Date(“2018-10-12”),1,131.350,1,131.35],[new Date(“2018-10-13”),1,131.350,1,131.35],[new Date(“2018-10-14”),1,132.190,1,132.19],[new Date(“2018-10-15”),1,136.170,1,136.17],[new Date(“2018-10-16”),1,123.150,1,123.15],[new Date(“2018-10-17”),1,128.097,1,128.10],[new Date(“2018-10-18”),1,137.597,1,137.60],[new Date(“2018-10-19”),1,132.120,1,132.12],[new Date(“2018-10-20”),1,132.120,1,132.12],[new Date(“2018-10-21”),1,132.597,1,132.60],[new Date(“2018-10-22”),1,132.250,1,132.25],[new Date(“2018-10-23”),1,137.640,1,137.64],[new Date(“2018-10-24”),1,138.560,1,138.56],[new Date(“2018-10-25”),1,136.230,1,136.23],[new Date(“2018-10-26”),1,140.350,1,140.35],[new Date(“2018-10-27”),1,140.350,1,140.35],[new Date(“2018-10-28”),1,140.502,1,140.50],[new Date(“2018-10-29”),1,143.080,1,143.08],[new Date(“2018-10-30”),1,138.701,1,138.70],[new Date(“2018-10-31″),1,141.970,1,141.97],]);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_10’));
chart.draw(data, options);
}

September, 2018

01      1,115.6404
02      1,115.8096
↘0.169, 0.02%
03      1,114.4986
↗1.311, 0.12%
04      1,122.2983
↘7.800, 0.70%
05      1,119.0995
↗3.199, 0.29%
06      1,125.7003
↘6.601, 0.59%
07      1,128.5504
↘2.850, 0.25%
08      1,128.5504
→0.000, 0.00%
09      1,127.8502
↗0.700, 0.06%
10      1,137.7696
↘9.919, 0.88%
11      1,126.2964
↗11.473, 1.01%
12      1,126.7502
↘0.454, 0.04%
13      1,121.5499
↗5.200, 0.46%
14      1,121.4304
↗0.119, 0.01%
15      1,121.4304
→0.000, 0.00%
16      1,121.9014
↘0.471, 0.04%
17      1,126.6200
↘4.719, 0.42%
18      1,121.8171
↗4.803, 0.43%
19      1,123.2497
↘1.433, 0.13%
20      1,117.3982
↗5.851, 0.52%
21      1,114.9038
↗2.494, 0.22%
22      1,114.9038
→0.000, 0.00%
23      1,115.0984
↘0.195, 0.02%
24      1,118.8500
↘3.752, 0.34%
25      1,116.8300
↗2.020, 0.18%
26      1,115.1699
↗1.660, 0.15%
27      1,113.3104
↗1.859, 0.17%
28      1,110.1604
↗3.150, 0.28%
29      1,110.1604
→0.000, 0.00%
30      1,110.0096
↗0.151, 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(“2018-09-01”),1,115.640,1,115.64],[new Date(“2018-09-02”),1,115.810,1,115.81],[new Date(“2018-09-03”),1,114.499,1,114.50],[new Date(“2018-09-04”),1,122.298,1,122.30],[new Date(“2018-09-05”),1,119.100,1,119.10],[new Date(“2018-09-06”),1,125.700,1,125.70],[new Date(“2018-09-07”),1,128.550,1,128.55],[new Date(“2018-09-08”),1,128.550,1,128.55],[new Date(“2018-09-09”),1,127.850,1,127.85],[new Date(“2018-09-10”),1,137.770,1,137.77],[new Date(“2018-09-11”),1,126.296,1,126.30],[new Date(“2018-09-12”),1,126.750,1,126.75],[new Date(“2018-09-13”),1,121.550,1,121.55],[new Date(“2018-09-14”),1,121.430,1,121.43],[new Date(“2018-09-15”),1,121.430,1,121.43],[new Date(“2018-09-16”),1,121.901,1,121.90],[new Date(“2018-09-17”),1,126.620,1,126.62],[new Date(“2018-09-18”),1,121.817,1,121.82],[new Date(“2018-09-19”),1,123.250,1,123.25],[new Date(“2018-09-20”),1,117.398,1,117.40],[new Date(“2018-09-21”),1,114.904,1,114.90],[new Date(“2018-09-22”),1,114.904,1,114.90],[new Date(“2018-09-23”),1,115.098,1,115.10],[new Date(“2018-09-24”),1,118.850,1,118.85],[new Date(“2018-09-25”),1,116.830,1,116.83],[new Date(“2018-09-26”),1,115.170,1,115.17],[new Date(“2018-09-27”),1,113.310,1,113.31],[new Date(“2018-09-28”),1,110.160,1,110.16],[new Date(“2018-09-29”),1,110.160,1,110.16],[new Date(“2018-09-30″),1,110.010,1,110.01],]);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, 2018

01      1,119.6037
02      1,129.1504
↘9.547, 0.85%
03      1,122.8704
↗6.280, 0.56%
04      1,122.8704
→0.000, 0.00%
05      1,124.0006
↘1.130, 0.10%
06      1,126.3098
↘2.309, 0.21%
07      1,117.2700
↗9.040, 0.80%
08      1,116.9499
↗0.320, 0.03%
09      1,122.9010
↘5.951, 0.53%
10      1,130.4304
↘7.529, 0.67%
11      1,130.4304
→0.000, 0.00%
12      1,131.7198
↘1.289, 0.11%
13      1,136.9499
↘5.230, 0.46%
14      1,127.6997
↗9.250, 0.81%
15      1,137.1338
↘9.434, 0.84%
16      1,127.1900
↗9.944, 0.87%
17      1,119.7038
↗7.486, 0.66%
18      1,119.7038
→0.000, 0.00%
19      1,119.4603
↗0.243, 0.02%
20      1,118.0501
↗1.410, 0.13%
21      1,117.1002
↗0.950, 0.08%
22      1,118.2499
↘1.150, 0.10%
23      1,127.0498
↘8.800, 0.79%
24      1,114.0004
↗13.049, 1.16%
25      1,114.0004
→0.000, 0.00%
26      1,112.1698
↗1.831, 0.16%
27      1,109.2303
↗2.940, 0.26%
28      1,107.8799
↗1.350, 0.12%
29      1,109.4496
↘1.570, 0.14%
30      1,116.4503
↘7.001, 0.63%
31      1,115.6404
↗0.810, 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(“2018-08-01”),1,119.604,1,119.60],[new Date(“2018-08-02”),1,129.150,1,129.15],[new Date(“2018-08-03”),1,122.870,1,122.87],[new Date(“2018-08-04”),1,122.870,1,122.87],[new Date(“2018-08-05”),1,124.001,1,124.00],[new Date(“2018-08-06”),1,126.310,1,126.31],[new Date(“2018-08-07”),1,117.270,1,117.27],[new Date(“2018-08-08”),1,116.950,1,116.95],[new Date(“2018-08-09”),1,122.901,1,122.90],[new Date(“2018-08-10”),1,130.430,1,130.43],[new Date(“2018-08-11”),1,130.430,1,130.43],[new Date(“2018-08-12”),1,131.720,1,131.72],[new Date(“2018-08-13”),1,136.950,1,136.95],[new Date(“2018-08-14”),1,127.700,1,127.70],[new Date(“2018-08-15”),1,137.134,1,137.13],[new Date(“2018-08-16”),1,127.190,1,127.19],[new Date(“2018-08-17”),1,119.704,1,119.70],[new Date(“2018-08-18”),1,119.704,1,119.70],[new Date(“2018-08-19”),1,119.460,1,119.46],[new Date(“2018-08-20”),1,118.050,1,118.05],[new Date(“2018-08-21”),1,117.100,1,117.10],[new Date(“2018-08-22”),1,118.250,1,118.25],[new Date(“2018-08-23”),1,127.050,1,127.05],[new Date(“2018-08-24”),1,114.000,1,114.00],[new Date(“2018-08-25”),1,114.000,1,114.00],[new Date(“2018-08-26”),1,112.170,1,112.17],[new Date(“2018-08-27”),1,109.230,1,109.23],[new Date(“2018-08-28”),1,107.880,1,107.88],[new Date(“2018-08-29”),1,109.450,1,109.45],[new Date(“2018-08-30”),1,116.450,1,116.45],[new Date(“2018-08-31″),1,115.640,1,115.64],]);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, 2018

01      1,114.0601
02      1,117.6801
↘3.620, 0.32%
03      1,112.8600
↗4.820, 0.43%
04      1,113.5900
↘0.730, 0.07%
05      1,117.2700
↘3.680, 0.33%
06      1,114.1899
↗3.080, 0.28%
07      1,114.1899
→0.000, 0.00%
08      1,117.4200
↘3.230, 0.29%
09      1,111.9100
↗5.510, 0.49%
10      1,112.0699
↘0.160, 0.01%
11      1,126.8000
↘14.730, 1.32%
12      1,122.1100
↗4.690, 0.42%
13      1,128.5038
↘6.394, 0.57%
14      1,128.5038
→0.000, 0.00%
15      1,129.3500
↘0.846, 0.07%
16      1,127.3500
↗2.000, 0.18%
17      1,125.0500
↗2.300, 0.20%
18      1,130.4800
↘5.430, 0.48%
19      1,133.9997
↘3.520, 0.31%
20      1,126.4000
↗7.600, 0.67%
21      1,126.4000
→0.000, 0.00%
22      1,126.4000
→0.000, 0.00%
23      1,131.9500
↘5.550, 0.49%
24      1,127.4800
↗4.470, 0.39%
25      1,114.9700
↗12.510, 1.11%
26      1,122.6500
↘7.680, 0.69%
27      1,114.1500
↗8.500, 0.76%
28      1,114.1500
→0.000, 0.00%
29      1,115.5944
↘1.444, 0.13%
30      1,117.6702
↘2.076, 0.19%
31      1,113.1976
↗4.473, 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(“2018-07-01”),1,114.060,1,114.06],[new Date(“2018-07-02”),1,117.680,1,117.68],[new Date(“2018-07-03”),1,112.860,1,112.86],[new Date(“2018-07-04”),1,113.590,1,113.59],[new Date(“2018-07-05”),1,117.270,1,117.27],[new Date(“2018-07-06”),1,114.190,1,114.19],[new Date(“2018-07-07”),1,114.190,1,114.19],[new Date(“2018-07-08”),1,117.420,1,117.42],[new Date(“2018-07-09”),1,111.910,1,111.91],[new Date(“2018-07-10”),1,112.070,1,112.07],[new Date(“2018-07-11”),1,126.800,1,126.80],[new Date(“2018-07-12”),1,122.110,1,122.11],[new Date(“2018-07-13”),1,128.504,1,128.50],[new Date(“2018-07-14”),1,128.504,1,128.50],[new Date(“2018-07-15”),1,129.350,1,129.35],[new Date(“2018-07-16”),1,127.350,1,127.35],[new Date(“2018-07-17”),1,125.050,1,125.05],[new Date(“2018-07-18”),1,130.480,1,130.48],[new Date(“2018-07-19”),1,134.000,1,134.00],[new Date(“2018-07-20”),1,126.400,1,126.40],[new Date(“2018-07-21”),1,126.400,1,126.40],[new Date(“2018-07-22”),1,126.400,1,126.40],[new Date(“2018-07-23”),1,131.950,1,131.95],[new Date(“2018-07-24”),1,127.480,1,127.48],[new Date(“2018-07-25”),1,114.970,1,114.97],[new Date(“2018-07-26”),1,122.650,1,122.65],[new Date(“2018-07-27”),1,114.150,1,114.15],[new Date(“2018-07-28”),1,114.150,1,114.15],[new Date(“2018-07-29”),1,115.594,1,115.59],[new Date(“2018-07-30”),1,117.670,1,117.67],[new Date(“2018-07-31″),1,113.198,1,113.20],]);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_7’));
chart.draw(data, options);
}

June, 2018

01      1,070.1300
02      1,070.1300
→0.000, 0.00%
03      1,069.8101
↗0.320, 0.03%
04      1,070.0699
↘0.260, 0.02%
05      1,069.7900
↗0.280, 0.03%
06      1,064.6500
↗5.140, 0.48%
07      1,070.6899
↘6.040, 0.57%
08      1,073.4301
↘2.740, 0.26%
09      1,073.4301
→0.000, 0.00%
10      1,073.6500
↘0.220, 0.02%
11      1,075.7900
↘2.140, 0.20%
12      1,078.7800
↘2.990, 0.28%
13      1,084.2000
↘5.420, 0.50%
14      1,090.1500
↘5.950, 0.55%
15      1,101.9200
↘11.770, 1.08%
16      1,101.9200
→0.000, 0.00%
17      1,103.3900
↘1.470, 0.13%
18      1,103.5699
↘0.180, 0.02%
19      1,110.5500
↘6.980, 0.63%
20      1,107.2200
↗3.330, 0.30%
21      1,109.1300
↘1.910, 0.17%
22      1,110.5038
↘1.374, 0.12%
23      1,110.5038
→0.000, 0.00%
24      1,109.8101
↗0.694, 0.06%
25      1,113.5300
↘3.720, 0.34%
26      1,116.8900
↘3.360, 0.30%
27      1,122.2800
↘5.390, 0.48%
28      1,120.0400
↗2.240, 0.20%
29      1,113.4100
↗6.630, 0.59%
30      1,113.4100
→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(“2018-06-01”),1,070.130,1,070.13],[new Date(“2018-06-02”),1,070.130,1,070.13],[new Date(“2018-06-03”),1,069.810,1,069.81],[new Date(“2018-06-04”),1,070.070,1,070.07],[new Date(“2018-06-05”),1,069.790,1,069.79],[new Date(“2018-06-06”),1,064.650,1,064.65],[new Date(“2018-06-07”),1,070.690,1,070.69],[new Date(“2018-06-08”),1,073.430,1,073.43],[new Date(“2018-06-09”),1,073.430,1,073.43],[new Date(“2018-06-10”),1,073.650,1,073.65],[new Date(“2018-06-11”),1,075.790,1,075.79],[new Date(“2018-06-12”),1,078.780,1,078.78],[new Date(“2018-06-13”),1,084.200,1,084.20],[new Date(“2018-06-14”),1,090.150,1,090.15],[new Date(“2018-06-15”),1,101.920,1,101.92],[new Date(“2018-06-16”),1,101.920,1,101.92],[new Date(“2018-06-17”),1,103.390,1,103.39],[new Date(“2018-06-18”),1,103.570,1,103.57],[new Date(“2018-06-19”),1,110.550,1,110.55],[new Date(“2018-06-20”),1,107.220,1,107.22],[new Date(“2018-06-21”),1,109.130,1,109.13],[new Date(“2018-06-22”),1,110.504,1,110.50],[new Date(“2018-06-23”),1,110.504,1,110.50],[new Date(“2018-06-24”),1,109.810,1,109.81],[new Date(“2018-06-25”),1,113.530,1,113.53],[new Date(“2018-06-26”),1,116.890,1,116.89],[new Date(“2018-06-27”),1,122.280,1,122.28],[new Date(“2018-06-28”),1,120.040,1,120.04],[new Date(“2018-06-29”),1,113.410,1,113.41],[new Date(“2018-06-30″),1,113.410,1,113.41],]);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, 2018

01      1,073.3300
02      1,078.1700
↘4.840, 0.45%
03      1,073.6200
↗4.550, 0.42%
04      1,072.6100
↗1.010, 0.09%
05      1,072.6100
→0.000, 0.00%
06      1,072.8000
↘0.190, 0.02%
07      1,077.9301
↘5.130, 0.48%
08      1,076.9100
↗1.020, 0.09%
09      1,077.4800
↘0.570, 0.05%
10      1,063.8400
↗13.640, 1.27%
11      1,066.5038
↘2.664, 0.25%
12      1,066.5038
→0.000, 0.00%
13      1,065.3101
↗1.194, 0.11%
14      1,068.5900
↘3.280, 0.31%
15      1,078.3500
↘9.760, 0.91%
16      1,075.9900
↗2.360, 0.22%
17      1,080.2900
↘4.300, 0.40%
18      1,080.0699
↗0.220, 0.02%
19      1,080.0699
→0.000, 0.00%
20      1,080.0100
↗0.060, 0.01%
21      1,075.8900
↗4.120, 0.38%
22      1,073.6200
↗2.270, 0.21%
23      1,076.2503
↘2.630, 0.24%
24      1,078.5900
↘2.340, 0.22%
25      1,076.5038
↗2.086, 0.19%
26      1,076.5038
→0.000, 0.00%
27      1,073.2100
↗3.294, 0.31%
28      1,072.5400
↗0.670, 0.06%
29      1,083.5300
↘10.990, 1.02%
30      1,074.5300
↗9.000, 0.83%
31      1,079.2900
↘4.760, 0.44%
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(“2018-05-01”),1,073.330,1,073.33],[new Date(“2018-05-02”),1,078.170,1,078.17],[new Date(“2018-05-03”),1,073.620,1,073.62],[new Date(“2018-05-04”),1,072.610,1,072.61],[new Date(“2018-05-05”),1,072.610,1,072.61],[new Date(“2018-05-06”),1,072.800,1,072.80],[new Date(“2018-05-07”),1,077.930,1,077.93],[new Date(“2018-05-08”),1,076.910,1,076.91],[new Date(“2018-05-09”),1,077.480,1,077.48],[new Date(“2018-05-10”),1,063.840,1,063.84],[new Date(“2018-05-11”),1,066.504,1,066.50],[new Date(“2018-05-12”),1,066.504,1,066.50],[new Date(“2018-05-13”),1,065.310,1,065.31],[new Date(“2018-05-14”),1,068.590,1,068.59],[new Date(“2018-05-15”),1,078.350,1,078.35],[new Date(“2018-05-16”),1,075.990,1,075.99],[new Date(“2018-05-17”),1,080.290,1,080.29],[new Date(“2018-05-18”),1,080.070,1,080.07],[new Date(“2018-05-19”),1,080.070,1,080.07],[new Date(“2018-05-20”),1,080.010,1,080.01],[new Date(“2018-05-21”),1,075.890,1,075.89],[new Date(“2018-05-22”),1,073.620,1,073.62],[new Date(“2018-05-23”),1,076.250,1,076.25],[new Date(“2018-05-24”),1,078.590,1,078.59],[new Date(“2018-05-25”),1,076.504,1,076.50],[new Date(“2018-05-26”),1,076.504,1,076.50],[new Date(“2018-05-27”),1,073.210,1,073.21],[new Date(“2018-05-28”),1,072.540,1,072.54],[new Date(“2018-05-29”),1,083.530,1,083.53],[new Date(“2018-05-30”),1,074.530,1,074.53],[new Date(“2018-05-31″),1,079.290,1,079.29],]);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, 2018

01      1,060.4700
02      1,055.6600
↗4.810, 0.45%
03      1,053.3600
↗2.300, 0.22%
04      1,056.9301
↘3.570, 0.34%
05      1,061.0500
↘4.120, 0.39%
06      1,069.2504
↘8.200, 0.77%
07      1,069.2504
→0.000, 0.00%
08      1,069.9700
↘0.720, 0.07%
09      1,068.2700
↗1.700, 0.16%
10      1,062.8800
↗5.390, 0.50%
11      1,065.2498
↘2.370, 0.22%
12      1,069.4700
↘4.220, 0.40%
13      1,070.1801
↘0.710, 0.07%
14      1,070.1801
→0.000, 0.00%
15      1,070.1700
↗0.010, 0.00%
16      1,069.0200
↗1.150, 0.11%
17      1,065.5800
↗3.440, 0.32%
18      1,063.5699
↗2.010, 0.19%
19      1,065.7400
↘2.170, 0.20%
20      1,069.6000
↘3.860, 0.36%
21      1,069.6000
→0.000, 0.00%
22      1,070.9100
↘1.310, 0.12%
23      1,079.7300
↘8.820, 0.82%
24      1,076.1300
↗3.600, 0.33%
25      1,080.6700
↘4.540, 0.42%
26      1,076.2100
↗4.460, 0.41%
27      1,066.2300
↗9.980, 0.93%
28      1,066.2300
→0.000, 0.00%
29      1,066.8900
↘0.660, 0.06%
30      1,068.4900
↘1.600, 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(“2018-04-01”),1,060.470,1,060.47],[new Date(“2018-04-02”),1,055.660,1,055.66],[new Date(“2018-04-03”),1,053.360,1,053.36],[new Date(“2018-04-04”),1,056.930,1,056.93],[new Date(“2018-04-05”),1,061.050,1,061.05],[new Date(“2018-04-06”),1,069.250,1,069.25],[new Date(“2018-04-07”),1,069.250,1,069.25],[new Date(“2018-04-08”),1,069.970,1,069.97],[new Date(“2018-04-09”),1,068.270,1,068.27],[new Date(“2018-04-10”),1,062.880,1,062.88],[new Date(“2018-04-11”),1,065.250,1,065.25],[new Date(“2018-04-12”),1,069.470,1,069.47],[new Date(“2018-04-13”),1,070.180,1,070.18],[new Date(“2018-04-14”),1,070.180,1,070.18],[new Date(“2018-04-15”),1,070.170,1,070.17],[new Date(“2018-04-16”),1,069.020,1,069.02],[new Date(“2018-04-17”),1,065.580,1,065.58],[new Date(“2018-04-18”),1,063.570,1,063.57],[new Date(“2018-04-19”),1,065.740,1,065.74],[new Date(“2018-04-20”),1,069.600,1,069.60],[new Date(“2018-04-21”),1,069.600,1,069.60],[new Date(“2018-04-22”),1,070.910,1,070.91],[new Date(“2018-04-23”),1,079.730,1,079.73],[new Date(“2018-04-24”),1,076.130,1,076.13],[new Date(“2018-04-25”),1,080.670,1,080.67],[new Date(“2018-04-26”),1,076.210,1,076.21],[new Date(“2018-04-27”),1,066.230,1,066.23],[new Date(“2018-04-28”),1,066.230,1,066.23],[new Date(“2018-04-29”),1,066.890,1,066.89],[new Date(“2018-04-30″),1,068.490,1,068.49],]);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, 2018

01      1,081.4100
02      1,078.1899
↗3.220, 0.30%
03      1,078.1899
→0.000, 0.00%
04      1,078.6100
↘0.420, 0.04%
05      1,076.1700
↗2.440, 0.23%
06      1,062.6400
↗13.530, 1.26%
07      1,065.6500
↘3.010, 0.28%
08      1,072.9600
↘7.310, 0.69%
09      1,064.0004
↗8.960, 0.84%
10      1,063.8800
↗0.120, 0.01%
11      1,063.5500
↗0.330, 0.03%
12      1,063.3700
↗0.180, 0.02%
13      1,065.9200
↘2.550, 0.24%
14      1,062.0400
↗3.880, 0.36%
15      1,068.2200
↘6.180, 0.58%
16      1,069.0300
↘0.810, 0.08%
17      1,069.0300
→0.000, 0.00%
18      1,069.6899
↘0.660, 0.06%
19      1,071.8000
↘2.110, 0.20%
20      1,070.0500
↗1.750, 0.16%
21      1,063.4600
↗6.590, 0.62%
22      1,079.3600
↘15.900, 1.50%
23      1,082.3700
↘3.010, 0.28%
24      1,082.3700
→0.000, 0.00%
25      1,082.2300
↗0.140, 0.01%
26      1,073.8000
↗8.430, 0.78%
27      1,073.6100
↗0.190, 0.02%
28      1,062.9500
↗10.660, 0.99%
29      1,061.4900
↗1.460, 0.14%
30      1,059.7504
↗1.740, 0.16%
31      1,059.7504
→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(“2018-03-01”),1,081.410,1,081.41],[new Date(“2018-03-02”),1,078.190,1,078.19],[new Date(“2018-03-03”),1,078.190,1,078.19],[new Date(“2018-03-04”),1,078.610,1,078.61],[new Date(“2018-03-05”),1,076.170,1,076.17],[new Date(“2018-03-06”),1,062.640,1,062.64],[new Date(“2018-03-07”),1,065.650,1,065.65],[new Date(“2018-03-08”),1,072.960,1,072.96],[new Date(“2018-03-09”),1,064.000,1,064.00],[new Date(“2018-03-10”),1,063.880,1,063.88],[new Date(“2018-03-11”),1,063.550,1,063.55],[new Date(“2018-03-12”),1,063.370,1,063.37],[new Date(“2018-03-13”),1,065.920,1,065.92],[new Date(“2018-03-14”),1,062.040,1,062.04],[new Date(“2018-03-15”),1,068.220,1,068.22],[new Date(“2018-03-16”),1,069.030,1,069.03],[new Date(“2018-03-17”),1,069.030,1,069.03],[new Date(“2018-03-18”),1,069.690,1,069.69],[new Date(“2018-03-19”),1,071.800,1,071.80],[new Date(“2018-03-20”),1,070.050,1,070.05],[new Date(“2018-03-21”),1,063.460,1,063.46],[new Date(“2018-03-22”),1,079.360,1,079.36],[new Date(“2018-03-23”),1,082.370,1,082.37],[new Date(“2018-03-24”),1,082.370,1,082.37],[new Date(“2018-03-25”),1,082.230,1,082.23],[new Date(“2018-03-26”),1,073.800,1,073.80],[new Date(“2018-03-27”),1,073.610,1,073.61],[new Date(“2018-03-28”),1,062.950,1,062.95],[new Date(“2018-03-29”),1,061.490,1,061.49],[new Date(“2018-03-30”),1,059.750,1,059.75],[new Date(“2018-03-31″),1,059.750,1,059.75],]);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_3’));
chart.draw(data, options);
}

February, 2018

01      1,070.6700
02      1,088.5038
↘17.834, 1.67%
03      1,088.5038
→0.000, 0.00%
04      1,089.6600
↘1.156, 0.11%
05      1,092.8500
↘3.190, 0.29%
06      1,078.7600
↗14.090, 1.29%
07      1,088.9200
↘10.160, 0.94%
08      1,095.3600
↘6.440, 0.59%
09      1,084.1700
↗11.190, 1.02%
10      1,084.1700
→0.000, 0.00%
11      1,084.1700
→0.000, 0.00%
12      1,082.1100
↗2.060, 0.19%
13      1,083.2700
↘1.160, 0.11%
14      1,069.5100
↗13.760, 1.27%
15      1,062.5500
↗6.960, 0.65%
16      1,065.6899
↘3.140, 0.30%
17      1,065.6899
→0.000, 0.00%
18      1,065.0900
↗0.600, 0.06%
19      1,066.3000
↘1.210, 0.11%
20      1,072.0400
↘5.740, 0.54%
21      1,074.4700
↘2.430, 0.23%
22      1,079.5400
↘5.070, 0.47%
23      1,075.5038
↗4.036, 0.37%
24      1,075.5038
→0.000, 0.00%
25      1,076.2600
↘0.756, 0.07%
26      1,069.1899
↗7.070, 0.66%
27      1,079.8900
↘10.700, 1.00%
28      1,084.7800
↘4.890, 0.45%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-02-01”),1,070.670,1,070.67],[new Date(“2018-02-02”),1,088.504,1,088.50],[new Date(“2018-02-03”),1,088.504,1,088.50],[new Date(“2018-02-04”),1,089.660,1,089.66],[new Date(“2018-02-05”),1,092.850,1,092.85],[new Date(“2018-02-06”),1,078.760,1,078.76],[new Date(“2018-02-07”),1,088.920,1,088.92],[new Date(“2018-02-08”),1,095.360,1,095.36],[new Date(“2018-02-09”),1,084.170,1,084.17],[new Date(“2018-02-10”),1,084.170,1,084.17],[new Date(“2018-02-11”),1,084.170,1,084.17],[new Date(“2018-02-12”),1,082.110,1,082.11],[new Date(“2018-02-13”),1,083.270,1,083.27],[new Date(“2018-02-14”),1,069.510,1,069.51],[new Date(“2018-02-15”),1,062.550,1,062.55],[new Date(“2018-02-16”),1,065.690,1,065.69],[new Date(“2018-02-17”),1,065.690,1,065.69],[new Date(“2018-02-18”),1,065.090,1,065.09],[new Date(“2018-02-19”),1,066.300,1,066.30],[new Date(“2018-02-20”),1,072.040,1,072.04],[new Date(“2018-02-21”),1,074.470,1,074.47],[new Date(“2018-02-22”),1,079.540,1,079.54],[new Date(“2018-02-23”),1,075.504,1,075.50],[new Date(“2018-02-24”),1,075.504,1,075.50],[new Date(“2018-02-25”),1,076.260,1,076.26],[new Date(“2018-02-26”),1,069.190,1,069.19],[new Date(“2018-02-27”),1,079.890,1,079.89],[new Date(“2018-02-28″),1,084.780,1,084.78],]);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, 2018

01      1,064.6100
02      1,062.0400
↗2.570, 0.24%
03      1,063.4700
↘1.430, 0.13%
04      1,060.5800
↗2.890, 0.27%
05      1,061.5038
↘0.924, 0.09%
06      1,061.5038
→0.000, 0.00%
07      1,060.0200
↗1.484, 0.14%
08      1,067.1500
↘7.130, 0.67%
09      1,071.2400
↘4.090, 0.38%
10      1,069.1700
↗2.070, 0.19%
11      1,064.6899
↗4.480, 0.42%
12      1,058.5038
↗6.186, 0.58%
13      1,058.5038
→0.000, 0.00%
14      1,055.3000
↗3.204, 0.30%
15      1,061.3300
↘6.030, 0.57%
16      1,061.8900
↘0.560, 0.05%
17      1,066.0601
↘4.170, 0.39%
18      1,069.0800
↘3.020, 0.28%
19      1,066.6100
↗2.470, 0.23%
20      1,066.6100
→0.000, 0.00%
21      1,065.8600
↗0.750, 0.07%
22      1,068.3199
↘2.460, 0.23%
23      1,072.1300
↘3.810, 0.36%
24      1,063.8900
↗8.240, 0.77%
25      1,064.3900
↘0.500, 0.05%
26      1,063.1700
↗1.220, 0.11%
27      1,063.1700
→0.000, 0.00%
28      1,062.6500
↗0.520, 0.05%
29      1,069.3101
↘6.660, 0.63%
30      1,072.0400
↘2.730, 0.26%
31      1,068.5100
↗3.530, 0.33%
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(“2018-01-01”),1,064.610,1,064.61],[new Date(“2018-01-02”),1,062.040,1,062.04],[new Date(“2018-01-03”),1,063.470,1,063.47],[new Date(“2018-01-04”),1,060.580,1,060.58],[new Date(“2018-01-05”),1,061.504,1,061.50],[new Date(“2018-01-06”),1,061.504,1,061.50],[new Date(“2018-01-07”),1,060.020,1,060.02],[new Date(“2018-01-08”),1,067.150,1,067.15],[new Date(“2018-01-09”),1,071.240,1,071.24],[new Date(“2018-01-10”),1,069.170,1,069.17],[new Date(“2018-01-11”),1,064.690,1,064.69],[new Date(“2018-01-12”),1,058.504,1,058.50],[new Date(“2018-01-13”),1,058.504,1,058.50],[new Date(“2018-01-14”),1,055.300,1,055.30],[new Date(“2018-01-15”),1,061.330,1,061.33],[new Date(“2018-01-16”),1,061.890,1,061.89],[new Date(“2018-01-17”),1,066.060,1,066.06],[new Date(“2018-01-18”),1,069.080,1,069.08],[new Date(“2018-01-19”),1,066.610,1,066.61],[new Date(“2018-01-20”),1,066.610,1,066.61],[new Date(“2018-01-21”),1,065.860,1,065.86],[new Date(“2018-01-22”),1,068.320,1,068.32],[new Date(“2018-01-23”),1,072.130,1,072.13],[new Date(“2018-01-24”),1,063.890,1,063.89],[new Date(“2018-01-25”),1,064.390,1,064.39],[new Date(“2018-01-26”),1,063.170,1,063.17],[new Date(“2018-01-27”),1,063.170,1,063.17],[new Date(“2018-01-28”),1,062.650,1,062.65],[new Date(“2018-01-29”),1,069.310,1,069.31],[new Date(“2018-01-30”),1,072.040,1,072.04],[new Date(“2018-01-31″),1,068.510,1,068.51],]);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_1’));
chart.draw(data, options);
}