South Korean Won KRW 2017 Conversion Rates

  • Opening Value is 1204.489990 KRW per Dollar
  • Closing Value is 1065.750150 KRW per Dollar
  • Change in Value during 2017 is -138.7398 which is -11.52%
  • Best Performance is on 2017-12-31 with 1065.750150 KRW per Dollar
  • Lowest Performance is on 2017-01-03 with 1205.390015 KRW per Dollar
  • Average Value is 1,128.8079 KRW per Dollar
  • Swing Between the higest and the lowest is 139.6399 per Dollar, that is 11.59% compared to the opening value.

USD to KRW Conversion Rates – 12 months

Date 1 USD =
2017-12-31 1,065.7502 KRW
2017-11-30 1,086.7300 KRW
2017-10-31 1,117.2300 KRW
2017-09-30 1,143.7900 KRW
2017-08-31 1,123.0100 KRW
2017-07-31 1,118.2300 KRW
2017-06-30 1,143.9301 KRW
2017-05-31 1,118.4700 KRW
2017-04-30 1,135.1300 KRW
2017-03-31 1,116.1500 KRW
2017-02-28 1,136.3101 KRW
2017-01-31 1,148.7900 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(“2017-12-31”),1,065.750,1,065.75],[new Date(“2017-11-30”),1,086.730,1,086.73],[new Date(“2017-10-31”),1,117.230,1,117.23],[new Date(“2017-09-30”),1,143.790,1,143.79],[new Date(“2017-08-31”),1,123.010,1,123.01],[new Date(“2017-07-31”),1,118.230,1,118.23],[new Date(“2017-06-30”),1,143.930,1,143.93],[new Date(“2017-05-31”),1,118.470,1,118.47],[new Date(“2017-04-30”),1,135.130,1,135.13],[new Date(“2017-03-31”),1,116.150,1,116.15],[new Date(“2017-02-28”),1,136.310,1,136.31],[new Date(“2017-01-31”),1,148.790,1,148.79],]);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, 2017

01      1,081.9700
02      1,081.9700
→0.000, 0.00%
03      1,082.0100
↘0.040, 0.00%
04      1,084.6801
↘2.670, 0.25%
05      1,084.6899
↘0.010, 0.00%
06      1,092.0699
↘7.380, 0.68%
07      1,091.9399
↗0.130, 0.01%
08      1,091.3500
↗0.590, 0.05%
09      1,091.3500
→0.000, 0.00%
10      1,091.3101
↗0.040, 0.00%
11      1,087.3199
↗3.990, 0.37%
12      1,090.7100
↘3.390, 0.31%
13      1,083.6600
↗7.050, 0.65%
14      1,087.3300
↘3.670, 0.34%
15      1,087.4500
↘0.120, 0.01%
16      1,087.4500
→0.000, 0.00%
17      1,088.5500
↘1.100, 0.10%
18      1,084.8900
↗3.660, 0.34%
19      1,083.7498
↗1.140, 0.11%
20      1,079.5200
↗4.230, 0.39%
21      1,079.8300
↘0.310, 0.03%
22      1,076.2400
↗3.590, 0.33%
23      1,076.2400
→0.000, 0.00%
24      1,076.2400
→0.000, 0.00%
25      1,075.8700
↗0.370, 0.03%
26      1,074.5300
↗1.340, 0.12%
27      1,073.1500
↗1.380, 0.13%
28      1,069.0100
↗4.140, 0.39%
29      1,065.8700
↗3.140, 0.29%
30      1,065.8700
→0.000, 0.00%
31      1,065.7502
↗0.120, 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(“2017-12-01”),1,081.970,1,081.97],[new Date(“2017-12-02”),1,081.970,1,081.97],[new Date(“2017-12-03”),1,082.010,1,082.01],[new Date(“2017-12-04”),1,084.680,1,084.68],[new Date(“2017-12-05”),1,084.690,1,084.69],[new Date(“2017-12-06”),1,092.070,1,092.07],[new Date(“2017-12-07”),1,091.940,1,091.94],[new Date(“2017-12-08”),1,091.350,1,091.35],[new Date(“2017-12-09”),1,091.350,1,091.35],[new Date(“2017-12-10”),1,091.310,1,091.31],[new Date(“2017-12-11”),1,087.320,1,087.32],[new Date(“2017-12-12”),1,090.710,1,090.71],[new Date(“2017-12-13”),1,083.660,1,083.66],[new Date(“2017-12-14”),1,087.330,1,087.33],[new Date(“2017-12-15”),1,087.450,1,087.45],[new Date(“2017-12-16”),1,087.450,1,087.45],[new Date(“2017-12-17”),1,088.550,1,088.55],[new Date(“2017-12-18”),1,084.890,1,084.89],[new Date(“2017-12-19”),1,083.750,1,083.75],[new Date(“2017-12-20”),1,079.520,1,079.52],[new Date(“2017-12-21”),1,079.830,1,079.83],[new Date(“2017-12-22”),1,076.240,1,076.24],[new Date(“2017-12-23”),1,076.240,1,076.24],[new Date(“2017-12-24”),1,076.240,1,076.24],[new Date(“2017-12-25”),1,075.870,1,075.87],[new Date(“2017-12-26”),1,074.530,1,074.53],[new Date(“2017-12-27”),1,073.150,1,073.15],[new Date(“2017-12-28”),1,069.010,1,069.01],[new Date(“2017-12-29”),1,065.870,1,065.87],[new Date(“2017-12-30”),1,065.870,1,065.87],[new Date(“2017-12-31″),1,065.750,1,065.75],]);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, 2017

01      1,109.4500
02      1,111.2300
↘1.780, 0.16%
03      1,114.7900
↘3.560, 0.32%
04      1,114.7900
→0.000, 0.00%
05      1,114.2900
↗0.500, 0.04%
06      1,113.2100
↗1.080, 0.10%
07      1,111.9500
↗1.260, 0.11%
08      1,112.6100
↘0.660, 0.06%
09      1,117.6400
↘5.030, 0.45%
10      1,119.3700
↘1.730, 0.15%
11      1,119.3700
→0.000, 0.00%
12      1,117.8101
↗1.560, 0.14%
13      1,118.9600
↘1.150, 0.10%
14      1,115.2700
↗3.690, 0.33%
15      1,105.5200
↗9.750, 0.87%
16      1,095.9000
↗9.620, 0.87%
17      1,092.8199
↗3.080, 0.28%
18      1,092.8199
→0.000, 0.00%
19      1,092.0601
↗0.760, 0.07%
20      1,095.4900
↘3.430, 0.31%
21      1,090.7300
↗4.760, 0.43%
22      1,084.8101
↗5.920, 0.54%
23      1,082.0699
↗2.740, 0.25%
24      1,084.1100
↘2.040, 0.19%
25      1,084.1100
→0.000, 0.00%
26      1,084.5500
↘0.440, 0.04%
27      1,089.5601
↘5.010, 0.46%
28      1,082.9500
↗6.610, 0.61%
29      1,080.1700
↗2.780, 0.26%
30      1,086.7300
↘6.560, 0.61%
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(“2017-11-01”),1,109.450,1,109.45],[new Date(“2017-11-02”),1,111.230,1,111.23],[new Date(“2017-11-03”),1,114.790,1,114.79],[new Date(“2017-11-04”),1,114.790,1,114.79],[new Date(“2017-11-05”),1,114.290,1,114.29],[new Date(“2017-11-06”),1,113.210,1,113.21],[new Date(“2017-11-07”),1,111.950,1,111.95],[new Date(“2017-11-08”),1,112.610,1,112.61],[new Date(“2017-11-09”),1,117.640,1,117.64],[new Date(“2017-11-10”),1,119.370,1,119.37],[new Date(“2017-11-11”),1,119.370,1,119.37],[new Date(“2017-11-12”),1,117.810,1,117.81],[new Date(“2017-11-13”),1,118.960,1,118.96],[new Date(“2017-11-14”),1,115.270,1,115.27],[new Date(“2017-11-15”),1,105.520,1,105.52],[new Date(“2017-11-16”),1,095.900,1,095.90],[new Date(“2017-11-17”),1,092.820,1,092.82],[new Date(“2017-11-18”),1,092.820,1,092.82],[new Date(“2017-11-19”),1,092.060,1,092.06],[new Date(“2017-11-20”),1,095.490,1,095.49],[new Date(“2017-11-21”),1,090.730,1,090.73],[new Date(“2017-11-22”),1,084.810,1,084.81],[new Date(“2017-11-23”),1,082.070,1,082.07],[new Date(“2017-11-24”),1,084.110,1,084.11],[new Date(“2017-11-25”),1,084.110,1,084.11],[new Date(“2017-11-26”),1,084.550,1,084.55],[new Date(“2017-11-27”),1,089.560,1,089.56],[new Date(“2017-11-28”),1,082.950,1,082.95],[new Date(“2017-11-29”),1,080.170,1,080.17],[new Date(“2017-11-30″),1,086.730,1,086.73],]);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, 2017

01      1,144.1700
02      1,141.8000
↗2.370, 0.21%
03      1,141.6600
↗0.140, 0.01%
04      1,141.7900
↘0.130, 0.01%
05      1,141.4800
↗0.310, 0.03%
06      1,143.8101
↘2.330, 0.20%
07      1,143.8101
→0.000, 0.00%
08      1,143.2000
↗0.610, 0.05%
09      1,142.3101
↗0.890, 0.08%
10      1,133.3600
↗8.950, 0.78%
11      1,130.9600
↗2.400, 0.21%
12      1,131.5601
↘0.600, 0.05%
13      1,125.1700
↗6.390, 0.56%
14      1,125.1700
→0.000, 0.00%
15      1,125.7900
↘0.620, 0.06%
16      1,126.5900
↘0.800, 0.07%
17      1,129.4399
↘2.850, 0.25%
18      1,130.8900
↘1.450, 0.13%
19      1,127.3500
↗3.540, 0.31%
20      1,130.8101
↘3.460, 0.31%
21      1,130.8101
→0.000, 0.00%
22      1,133.2600
↘2.450, 0.22%
23      1,128.5200
↗4.740, 0.42%
24      1,129.2200
↘0.700, 0.06%
25      1,125.9700
↗3.250, 0.29%
26      1,127.9399
↘1.970, 0.17%
27      1,124.4700
↗3.470, 0.31%
28      1,124.4700
→0.000, 0.00%
29      1,124.9800
↘0.510, 0.05%
30      1,122.9301
↗2.050, 0.18%
31      1,117.2300
↗5.700, 0.51%
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(“2017-10-01”),1,144.170,1,144.17],[new Date(“2017-10-02”),1,141.800,1,141.80],[new Date(“2017-10-03”),1,141.660,1,141.66],[new Date(“2017-10-04”),1,141.790,1,141.79],[new Date(“2017-10-05”),1,141.480,1,141.48],[new Date(“2017-10-06”),1,143.810,1,143.81],[new Date(“2017-10-07”),1,143.810,1,143.81],[new Date(“2017-10-08”),1,143.200,1,143.20],[new Date(“2017-10-09”),1,142.310,1,142.31],[new Date(“2017-10-10”),1,133.360,1,133.36],[new Date(“2017-10-11”),1,130.960,1,130.96],[new Date(“2017-10-12”),1,131.560,1,131.56],[new Date(“2017-10-13”),1,125.170,1,125.17],[new Date(“2017-10-14”),1,125.170,1,125.17],[new Date(“2017-10-15”),1,125.790,1,125.79],[new Date(“2017-10-16”),1,126.590,1,126.59],[new Date(“2017-10-17”),1,129.440,1,129.44],[new Date(“2017-10-18”),1,130.890,1,130.89],[new Date(“2017-10-19”),1,127.350,1,127.35],[new Date(“2017-10-20”),1,130.810,1,130.81],[new Date(“2017-10-21”),1,130.810,1,130.81],[new Date(“2017-10-22”),1,133.260,1,133.26],[new Date(“2017-10-23”),1,128.520,1,128.52],[new Date(“2017-10-24”),1,129.220,1,129.22],[new Date(“2017-10-25”),1,125.970,1,125.97],[new Date(“2017-10-26”),1,127.940,1,127.94],[new Date(“2017-10-27”),1,124.470,1,124.47],[new Date(“2017-10-28”),1,124.470,1,124.47],[new Date(“2017-10-29”),1,124.980,1,124.98],[new Date(“2017-10-30”),1,122.930,1,122.93],[new Date(“2017-10-31″),1,117.230,1,117.23],]);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, 2017

01      1,120.1899
02      1,120.1899
→0.000, 0.00%
03      1,118.3400
↗1.850, 0.17%
04      1,131.6300
↘13.290, 1.19%
05      1,131.1500
↗0.480, 0.04%
06      1,131.0100
↗0.140, 0.01%
07      1,126.6700
↗4.340, 0.38%
08      1,130.4700
↘3.800, 0.34%
09      1,130.4700
→0.000, 0.00%
10      1,132.4100
↘1.940, 0.17%
11      1,128.9100
↗3.500, 0.31%
12      1,127.0601
↗1.850, 0.16%
13      1,130.6000
↘3.540, 0.31%
14      1,132.6899
↘2.090, 0.18%
15      1,131.7100
↗0.980, 0.09%
16      1,131.7100
→0.000, 0.00%
17      1,132.7900
↘1.080, 0.10%
18      1,128.3199
↗4.470, 0.39%
19      1,129.8600
↘1.540, 0.14%
20      1,130.6801
↘0.820, 0.07%
21      1,130.8500
↘0.170, 0.02%
22      1,131.6300
↘0.780, 0.07%
23      1,131.6300
→0.000, 0.00%
24      1,131.6300
→0.000, 0.00%
25      1,133.2501
↘1.620, 0.14%
26      1,136.2200
↘2.970, 0.26%
27      1,144.7800
↘8.560, 0.75%
28      1,145.4900
↘0.710, 0.06%
29      1,143.7900
↗1.700, 0.15%
30      1,143.7900
→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(“2017-09-01”),1,120.190,1,120.19],[new Date(“2017-09-02”),1,120.190,1,120.19],[new Date(“2017-09-03”),1,118.340,1,118.34],[new Date(“2017-09-04”),1,131.630,1,131.63],[new Date(“2017-09-05”),1,131.150,1,131.15],[new Date(“2017-09-06”),1,131.010,1,131.01],[new Date(“2017-09-07”),1,126.670,1,126.67],[new Date(“2017-09-08”),1,130.470,1,130.47],[new Date(“2017-09-09”),1,130.470,1,130.47],[new Date(“2017-09-10”),1,132.410,1,132.41],[new Date(“2017-09-11”),1,128.910,1,128.91],[new Date(“2017-09-12”),1,127.060,1,127.06],[new Date(“2017-09-13”),1,130.600,1,130.60],[new Date(“2017-09-14”),1,132.690,1,132.69],[new Date(“2017-09-15”),1,131.710,1,131.71],[new Date(“2017-09-16”),1,131.710,1,131.71],[new Date(“2017-09-17”),1,132.790,1,132.79],[new Date(“2017-09-18”),1,128.320,1,128.32],[new Date(“2017-09-19”),1,129.860,1,129.86],[new Date(“2017-09-20”),1,130.680,1,130.68],[new Date(“2017-09-21”),1,130.850,1,130.85],[new Date(“2017-09-22”),1,131.630,1,131.63],[new Date(“2017-09-23”),1,131.630,1,131.63],[new Date(“2017-09-24”),1,131.630,1,131.63],[new Date(“2017-09-25”),1,133.250,1,133.25],[new Date(“2017-09-26”),1,136.220,1,136.22],[new Date(“2017-09-27”),1,144.780,1,144.78],[new Date(“2017-09-28”),1,145.490,1,145.49],[new Date(“2017-09-29”),1,143.790,1,143.79],[new Date(“2017-09-30″),1,143.790,1,143.79],]);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, 2017

01      1,119.8700
02      1,121.5900
↘1.720, 0.15%
03      1,126.7496
↘5.160, 0.46%
04      1,127.2700
↘0.520, 0.05%
05      1,127.2700
→0.000, 0.00%
06      1,126.6899
↗0.580, 0.05%
07      1,124.8500
↗1.840, 0.16%
08      1,125.3600
↘0.510, 0.05%
09      1,137.6500
↘12.290, 1.09%
10      1,143.1500
↘5.500, 0.48%
11      1,141.3600
↗1.790, 0.16%
12      1,141.3600
→0.000, 0.00%
13      1,140.9900
↗0.370, 0.03%
14      1,138.3300
↗2.660, 0.23%
15      1,134.6801
↗3.650, 0.32%
16      1,134.3000
↗0.380, 0.03%
17      1,139.9800
↘5.680, 0.50%
18      1,138.2700
↗1.710, 0.15%
19      1,138.2700
→0.000, 0.00%
20      1,138.5800
↘0.310, 0.03%
21      1,137.4301
↗1.150, 0.10%
22      1,130.6300
↗6.800, 0.60%
23      1,124.9500
↗5.680, 0.50%
24      1,126.7600
↘1.810, 0.16%
25      1,120.0900
↗6.670, 0.59%
26      1,120.0900
→0.000, 0.00%
27      1,120.3900
↘0.300, 0.03%
28      1,117.5100
↗2.880, 0.26%
29      1,123.6899
↘6.180, 0.55%
30      1,122.7900
↗0.900, 0.08%
31      1,123.0100
↘0.220, 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(“2017-08-01”),1,119.870,1,119.87],[new Date(“2017-08-02”),1,121.590,1,121.59],[new Date(“2017-08-03”),1,126.750,1,126.75],[new Date(“2017-08-04”),1,127.270,1,127.27],[new Date(“2017-08-05”),1,127.270,1,127.27],[new Date(“2017-08-06”),1,126.690,1,126.69],[new Date(“2017-08-07”),1,124.850,1,124.85],[new Date(“2017-08-08”),1,125.360,1,125.36],[new Date(“2017-08-09”),1,137.650,1,137.65],[new Date(“2017-08-10”),1,143.150,1,143.15],[new Date(“2017-08-11”),1,141.360,1,141.36],[new Date(“2017-08-12”),1,141.360,1,141.36],[new Date(“2017-08-13”),1,140.990,1,140.99],[new Date(“2017-08-14”),1,138.330,1,138.33],[new Date(“2017-08-15”),1,134.680,1,134.68],[new Date(“2017-08-16”),1,134.300,1,134.30],[new Date(“2017-08-17”),1,139.980,1,139.98],[new Date(“2017-08-18”),1,138.270,1,138.27],[new Date(“2017-08-19”),1,138.270,1,138.27],[new Date(“2017-08-20”),1,138.580,1,138.58],[new Date(“2017-08-21”),1,137.430,1,137.43],[new Date(“2017-08-22”),1,130.630,1,130.63],[new Date(“2017-08-23”),1,124.950,1,124.95],[new Date(“2017-08-24”),1,126.760,1,126.76],[new Date(“2017-08-25”),1,120.090,1,120.09],[new Date(“2017-08-26”),1,120.090,1,120.09],[new Date(“2017-08-27”),1,120.390,1,120.39],[new Date(“2017-08-28”),1,117.510,1,117.51],[new Date(“2017-08-29”),1,123.690,1,123.69],[new Date(“2017-08-30”),1,122.790,1,122.79],[new Date(“2017-08-31″),1,123.010,1,123.01],]);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_8’));
chart.draw(data, options);
}

July, 2017

01      1,143.9301
02      1,144.3101
↘0.380, 0.03%
03      1,149.4399
↘5.130, 0.45%
04      1,148.6899
↗0.750, 0.07%
05      1,152.3500
↘3.660, 0.32%
06      1,155.8500
↘3.500, 0.30%
07      1,152.2400
↗3.610, 0.31%
08      1,152.2400
→0.000, 0.00%
09      1,153.3101
↘1.070, 0.09%
10      1,148.0300
↗5.280, 0.46%
11      1,147.4700
↗0.560, 0.05%
12      1,136.6100
↗10.860, 0.95%
13      1,136.1899
↗0.420, 0.04%
14      1,127.5900
↗8.600, 0.76%
15      1,127.5900
→0.000, 0.00%
16      1,126.8500
↗0.740, 0.07%
17      1,127.1500
↘0.300, 0.03%
18      1,123.7600
↗3.390, 0.30%
19      1,122.9997
↗0.760, 0.07%
20      1,120.0100
↗2.990, 0.27%
21      1,117.3300
↗2.680, 0.24%
22      1,117.3300
→0.000, 0.00%
23      1,115.6100
↗1.720, 0.15%
24      1,113.3900
↗2.220, 0.20%
25      1,118.7501
↘5.360, 0.48%
26      1,111.3700
↗7.380, 0.66%
27      1,115.0300
↘3.660, 0.33%
28      1,123.1899
↘8.160, 0.73%
29      1,123.1899
→0.000, 0.00%
30      1,123.5500
↘0.360, 0.03%
31      1,118.2300
↗5.320, 0.47%
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(“2017-07-01”),1,143.930,1,143.93],[new Date(“2017-07-02”),1,144.310,1,144.31],[new Date(“2017-07-03”),1,149.440,1,149.44],[new Date(“2017-07-04”),1,148.690,1,148.69],[new Date(“2017-07-05”),1,152.350,1,152.35],[new Date(“2017-07-06”),1,155.850,1,155.85],[new Date(“2017-07-07”),1,152.240,1,152.24],[new Date(“2017-07-08”),1,152.240,1,152.24],[new Date(“2017-07-09”),1,153.310,1,153.31],[new Date(“2017-07-10”),1,148.030,1,148.03],[new Date(“2017-07-11”),1,147.470,1,147.47],[new Date(“2017-07-12”),1,136.610,1,136.61],[new Date(“2017-07-13”),1,136.190,1,136.19],[new Date(“2017-07-14”),1,127.590,1,127.59],[new Date(“2017-07-15”),1,127.590,1,127.59],[new Date(“2017-07-16”),1,126.850,1,126.85],[new Date(“2017-07-17”),1,127.150,1,127.15],[new Date(“2017-07-18”),1,123.760,1,123.76],[new Date(“2017-07-19”),1,123.000,1,123.00],[new Date(“2017-07-20”),1,120.010,1,120.01],[new Date(“2017-07-21”),1,117.330,1,117.33],[new Date(“2017-07-22”),1,117.330,1,117.33],[new Date(“2017-07-23”),1,115.610,1,115.61],[new Date(“2017-07-24”),1,113.390,1,113.39],[new Date(“2017-07-25”),1,118.750,1,118.75],[new Date(“2017-07-26”),1,111.370,1,111.37],[new Date(“2017-07-27”),1,115.030,1,115.03],[new Date(“2017-07-28”),1,123.190,1,123.19],[new Date(“2017-07-29”),1,123.190,1,123.19],[new Date(“2017-07-30”),1,123.550,1,123.55],[new Date(“2017-07-31″),1,118.230,1,118.23],]);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, 2017

01      1,120.5300
02      1,116.8900
↗3.640, 0.32%
03      1,116.8900
→0.000, 0.00%
04      1,111.1111
↗5.779, 0.52%
05      1,116.4200
↘5.309, 0.48%
06      1,116.9500
↘0.530, 0.05%
07      1,122.6300
↘5.680, 0.51%
08      1,121.0100
↗1.620, 0.14%
09      1,123.7900
↘2.780, 0.25%
10      1,123.7900
→0.000, 0.00%
11      1,123.3800
↗0.410, 0.04%
12      1,129.9900
↘6.610, 0.59%
13      1,126.0500
↗3.940, 0.35%
14      1,118.3900
↗7.660, 0.68%
15      1,129.4399
↘11.050, 0.99%
16      1,131.5038
↘2.064, 0.18%
17      1,131.5038
→0.000, 0.00%
18      1,130.6200
↗0.884, 0.08%
19      1,135.2300
↘4.610, 0.41%
20      1,140.3500
↘5.120, 0.45%
21      1,141.9900
↘1.640, 0.14%
22      1,138.5500
↗3.440, 0.30%
23      1,133.3900
↗5.160, 0.45%
24      1,133.3900
→0.000, 0.00%
25      1,132.9500
↗0.440, 0.04%
26      1,132.0601
↗0.890, 0.08%
27      1,139.4500
↘7.390, 0.65%
28      1,137.2200
↗2.230, 0.20%
29      1,145.6300
↘8.410, 0.74%
30      1,143.9301
↗1.700, 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(“2017-06-01”),1,120.530,1,120.53],[new Date(“2017-06-02”),1,116.890,1,116.89],[new Date(“2017-06-03”),1,116.890,1,116.89],[new Date(“2017-06-04”),1,111.111,1,111.11],[new Date(“2017-06-05”),1,116.420,1,116.42],[new Date(“2017-06-06”),1,116.950,1,116.95],[new Date(“2017-06-07”),1,122.630,1,122.63],[new Date(“2017-06-08”),1,121.010,1,121.01],[new Date(“2017-06-09”),1,123.790,1,123.79],[new Date(“2017-06-10”),1,123.790,1,123.79],[new Date(“2017-06-11”),1,123.380,1,123.38],[new Date(“2017-06-12”),1,129.990,1,129.99],[new Date(“2017-06-13”),1,126.050,1,126.05],[new Date(“2017-06-14”),1,118.390,1,118.39],[new Date(“2017-06-15”),1,129.440,1,129.44],[new Date(“2017-06-16”),1,131.504,1,131.50],[new Date(“2017-06-17”),1,131.504,1,131.50],[new Date(“2017-06-18”),1,130.620,1,130.62],[new Date(“2017-06-19”),1,135.230,1,135.23],[new Date(“2017-06-20”),1,140.350,1,140.35],[new Date(“2017-06-21”),1,141.990,1,141.99],[new Date(“2017-06-22”),1,138.550,1,138.55],[new Date(“2017-06-23”),1,133.390,1,133.39],[new Date(“2017-06-24”),1,133.390,1,133.39],[new Date(“2017-06-25”),1,132.950,1,132.95],[new Date(“2017-06-26”),1,132.060,1,132.06],[new Date(“2017-06-27”),1,139.450,1,139.45],[new Date(“2017-06-28”),1,137.220,1,137.22],[new Date(“2017-06-29”),1,145.630,1,145.63],[new Date(“2017-06-30″),1,143.930,1,143.93],]);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, 2017

01      1,135.7700
02      1,127.2100
↗8.560, 0.75%
03      1,132.4700
↘5.260, 0.47%
04      1,134.5200
↘2.050, 0.18%
05      1,134.2100
↗0.310, 0.03%
06      1,134.2100
→0.000, 0.00%
07      1,136.6500
↘2.440, 0.22%
08      1,132.1500
↗4.500, 0.40%
09      1,137.3500
↘5.200, 0.46%
10      1,129.5300
↗7.820, 0.69%
11      1,122.6700
↗6.860, 0.61%
12      1,121.9100
↗0.760, 0.07%
13      1,121.9100
→0.000, 0.00%
14      1,122.5900
↘0.680, 0.06%
15      1,116.9301
↗5.660, 0.50%
16      1,114.3800
↗2.550, 0.23%
17      1,121.4700
↘7.090, 0.64%
18      1,127.9100
↘6.440, 0.57%
19      1,116.1100
↗11.800, 1.05%
20      1,116.1100
→0.000, 0.00%
21      1,116.5400
↘0.430, 0.04%
22      1,114.2700
↗2.270, 0.20%
23      1,123.9800
↘9.710, 0.87%
24      1,117.8700
↗6.110, 0.54%
25      1,119.0500
↘1.180, 0.11%
26      1,117.3300
↗1.720, 0.15%
27      1,117.3300
→0.000, 0.00%
28      1,118.2498
↘0.920, 0.08%
29      1,122.3500
↘4.100, 0.37%
30      1,123.4100
↘1.060, 0.09%
31      1,118.4700
↗4.940, 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(“2017-05-01”),1,135.770,1,135.77],[new Date(“2017-05-02”),1,127.210,1,127.21],[new Date(“2017-05-03”),1,132.470,1,132.47],[new Date(“2017-05-04”),1,134.520,1,134.52],[new Date(“2017-05-05”),1,134.210,1,134.21],[new Date(“2017-05-06”),1,134.210,1,134.21],[new Date(“2017-05-07”),1,136.650,1,136.65],[new Date(“2017-05-08”),1,132.150,1,132.15],[new Date(“2017-05-09”),1,137.350,1,137.35],[new Date(“2017-05-10”),1,129.530,1,129.53],[new Date(“2017-05-11”),1,122.670,1,122.67],[new Date(“2017-05-12”),1,121.910,1,121.91],[new Date(“2017-05-13”),1,121.910,1,121.91],[new Date(“2017-05-14”),1,122.590,1,122.59],[new Date(“2017-05-15”),1,116.930,1,116.93],[new Date(“2017-05-16”),1,114.380,1,114.38],[new Date(“2017-05-17”),1,121.470,1,121.47],[new Date(“2017-05-18”),1,127.910,1,127.91],[new Date(“2017-05-19”),1,116.110,1,116.11],[new Date(“2017-05-20”),1,116.110,1,116.11],[new Date(“2017-05-21”),1,116.540,1,116.54],[new Date(“2017-05-22”),1,114.270,1,114.27],[new Date(“2017-05-23”),1,123.980,1,123.98],[new Date(“2017-05-24”),1,117.870,1,117.87],[new Date(“2017-05-25”),1,119.050,1,119.05],[new Date(“2017-05-26”),1,117.330,1,117.33],[new Date(“2017-05-27”),1,117.330,1,117.33],[new Date(“2017-05-28”),1,118.250,1,118.25],[new Date(“2017-05-29”),1,122.350,1,122.35],[new Date(“2017-05-30”),1,123.410,1,123.41],[new Date(“2017-05-31″),1,118.470,1,118.47],]);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_5’));
chart.draw(data, options);
}

April, 2017

01      1,116.1500
02      1,114.6500
↗1.500, 0.13%
03      1,115.7300
↘1.080, 0.10%
04      1,123.5100
↘7.780, 0.70%
05      1,126.5900
↘3.080, 0.27%
06      1,129.5300
↘2.940, 0.26%
07      1,136.3900
↘6.860, 0.61%
08      1,136.3900
→0.000, 0.00%
09      1,135.4900
↗0.900, 0.08%
10      1,141.5300
↘6.040, 0.53%
11      1,111.1111
↗30.419, 2.66%
12      1,132.9100
↘21.799, 1.96%
13      1,134.0900
↘1.180, 0.10%
14      1,134.9500
↘0.860, 0.08%
15      1,134.9500
→0.000, 0.00%
16      1,134.8500
↗0.100, 0.01%
17      1,131.3000
↗3.550, 0.31%
18      1,141.1801
↘9.880, 0.87%
19      1,141.4301
↘0.250, 0.02%
20      1,136.6100
↗4.820, 0.42%
21      1,133.0699
↗3.540, 0.31%
22      1,133.0699
→0.000, 0.00%
23      1,133.2100
↘0.140, 0.01%
24      1,133.3300
↘0.120, 0.01%
25      1,124.9700
↗8.360, 0.74%
26      1,131.2900
↘6.320, 0.56%
27      1,130.4301
↗0.860, 0.08%
28      1,136.3700
↘5.940, 0.53%
29      1,136.3700
→0.000, 0.00%
30      1,135.1300
↗1.240, 0.11%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2017-04-01”),1,116.150,1,116.15],[new Date(“2017-04-02”),1,114.650,1,114.65],[new Date(“2017-04-03”),1,115.730,1,115.73],[new Date(“2017-04-04”),1,123.510,1,123.51],[new Date(“2017-04-05”),1,126.590,1,126.59],[new Date(“2017-04-06”),1,129.530,1,129.53],[new Date(“2017-04-07”),1,136.390,1,136.39],[new Date(“2017-04-08”),1,136.390,1,136.39],[new Date(“2017-04-09”),1,135.490,1,135.49],[new Date(“2017-04-10”),1,141.530,1,141.53],[new Date(“2017-04-11”),1,111.111,1,111.11],[new Date(“2017-04-12”),1,132.910,1,132.91],[new Date(“2017-04-13”),1,134.090,1,134.09],[new Date(“2017-04-14”),1,134.950,1,134.95],[new Date(“2017-04-15”),1,134.950,1,134.95],[new Date(“2017-04-16”),1,134.850,1,134.85],[new Date(“2017-04-17”),1,131.300,1,131.30],[new Date(“2017-04-18”),1,141.180,1,141.18],[new Date(“2017-04-19”),1,141.430,1,141.43],[new Date(“2017-04-20”),1,136.610,1,136.61],[new Date(“2017-04-21”),1,133.070,1,133.07],[new Date(“2017-04-22”),1,133.070,1,133.07],[new Date(“2017-04-23”),1,133.210,1,133.21],[new Date(“2017-04-24”),1,133.330,1,133.33],[new Date(“2017-04-25”),1,124.970,1,124.97],[new Date(“2017-04-26”),1,131.290,1,131.29],[new Date(“2017-04-27”),1,130.430,1,130.43],[new Date(“2017-04-28”),1,136.370,1,136.37],[new Date(“2017-04-29”),1,136.370,1,136.37],[new Date(“2017-04-30″),1,135.130,1,135.13],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2017

01      1,138.9100
02      1,149.4900
↘10.580, 0.93%
03      1,150.8101
↘1.320, 0.11%
04      1,150.8101
→0.000, 0.00%
05      1,151.4700
↘0.660, 0.06%
06      1,153.7497
↘2.280, 0.20%
07      1,148.9100
↗4.840, 0.42%
08      1,153.1100
↘4.200, 0.37%
09      1,158.7700
↘5.660, 0.49%
10      1,147.3101
↗11.460, 0.99%
11      1,147.3101
→0.000, 0.00%
12      1,145.9100
↗1.400, 0.12%
13      1,147.0400
↘1.130, 0.10%
14      1,147.7100
↘0.670, 0.06%
15      1,126.8900
↗20.820, 1.81%
16      1,126.5100
↗0.380, 0.03%
17      1,127.5300
↘1.020, 0.09%
18      1,127.5300
→0.000, 0.00%
19      1,126.1500
↗1.380, 0.12%
20      1,113.2504
↗12.900, 1.15%
21      1,122.2700
↘9.020, 0.81%
22      1,115.9100
↗6.360, 0.57%
23      1,120.7400
↘4.830, 0.43%
24      1,116.0500
↗4.690, 0.42%
25      1,116.0500
→0.000, 0.00%
26      1,115.6300
↗0.420, 0.04%
27      1,110.5900
↗5.040, 0.45%
28      1,114.9900
↘4.400, 0.40%
29      1,109.4500
↗5.540, 0.50%
30      1,116.4600
↘7.010, 0.63%
31      1,116.1500
↗0.310, 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(“2017-03-01”),1,138.910,1,138.91],[new Date(“2017-03-02”),1,149.490,1,149.49],[new Date(“2017-03-03”),1,150.810,1,150.81],[new Date(“2017-03-04”),1,150.810,1,150.81],[new Date(“2017-03-05”),1,151.470,1,151.47],[new Date(“2017-03-06”),1,153.750,1,153.75],[new Date(“2017-03-07”),1,148.910,1,148.91],[new Date(“2017-03-08”),1,153.110,1,153.11],[new Date(“2017-03-09”),1,158.770,1,158.77],[new Date(“2017-03-10”),1,147.310,1,147.31],[new Date(“2017-03-11”),1,147.310,1,147.31],[new Date(“2017-03-12”),1,145.910,1,145.91],[new Date(“2017-03-13”),1,147.040,1,147.04],[new Date(“2017-03-14”),1,147.710,1,147.71],[new Date(“2017-03-15”),1,126.890,1,126.89],[new Date(“2017-03-16”),1,126.510,1,126.51],[new Date(“2017-03-17”),1,127.530,1,127.53],[new Date(“2017-03-18”),1,127.530,1,127.53],[new Date(“2017-03-19”),1,126.150,1,126.15],[new Date(“2017-03-20”),1,113.250,1,113.25],[new Date(“2017-03-21”),1,122.270,1,122.27],[new Date(“2017-03-22”),1,115.910,1,115.91],[new Date(“2017-03-23”),1,120.740,1,120.74],[new Date(“2017-03-24”),1,116.050,1,116.05],[new Date(“2017-03-25”),1,116.050,1,116.05],[new Date(“2017-03-26”),1,115.630,1,115.63],[new Date(“2017-03-27”),1,110.590,1,110.59],[new Date(“2017-03-28”),1,114.990,1,114.99],[new Date(“2017-03-29”),1,109.450,1,109.45],[new Date(“2017-03-30”),1,116.460,1,116.46],[new Date(“2017-03-31″),1,116.150,1,116.15],]);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, 2017

01      1,151.5100
02      1,142.2100
↗9.300, 0.81%
03      1,137.0100
↗5.200, 0.46%
04      1,137.0100
→0.000, 0.00%
05      1,137.2600
↘0.250, 0.02%
06      1,132.3101
↗4.950, 0.44%
07      1,141.5500
↘9.240, 0.82%
08      1,144.1100
↘2.560, 0.22%
09      1,149.4500
↘5.340, 0.47%
10      1,145.0900
↗4.360, 0.38%
11      1,145.0900
→0.000, 0.00%
12      1,144.6700
↗0.420, 0.04%
13      1,148.1899
↘3.520, 0.31%
14      1,137.4900
↗10.700, 0.93%
15      1,133.5900
↗3.900, 0.34%
16      1,140.6100
↘7.020, 0.62%
17      1,149.0004
↘8.390, 0.74%
18      1,149.2700
↘0.270, 0.02%
19      1,148.5100
↗0.760, 0.07%
20      1,143.4100
↗5.100, 0.44%
21      1,140.7100
↗2.700, 0.24%
22      1,137.7100
↗3.000, 0.26%
23      1,131.2900
↗6.420, 0.56%
24      1,129.5038
↗1.786, 0.16%
25      1,129.5038
→0.000, 0.00%
26      1,129.7400
↘0.236, 0.02%
27      1,133.4500
↘3.710, 0.33%
28      1,136.3101
↘2.860, 0.25%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2017-02-01”),1,151.510,1,151.51],[new Date(“2017-02-02”),1,142.210,1,142.21],[new Date(“2017-02-03”),1,137.010,1,137.01],[new Date(“2017-02-04”),1,137.010,1,137.01],[new Date(“2017-02-05”),1,137.260,1,137.26],[new Date(“2017-02-06”),1,132.310,1,132.31],[new Date(“2017-02-07”),1,141.550,1,141.55],[new Date(“2017-02-08”),1,144.110,1,144.11],[new Date(“2017-02-09”),1,149.450,1,149.45],[new Date(“2017-02-10”),1,145.090,1,145.09],[new Date(“2017-02-11”),1,145.090,1,145.09],[new Date(“2017-02-12”),1,144.670,1,144.67],[new Date(“2017-02-13”),1,148.190,1,148.19],[new Date(“2017-02-14”),1,137.490,1,137.49],[new Date(“2017-02-15”),1,133.590,1,133.59],[new Date(“2017-02-16”),1,140.610,1,140.61],[new Date(“2017-02-17”),1,149.000,1,149.00],[new Date(“2017-02-18”),1,149.270,1,149.27],[new Date(“2017-02-19”),1,148.510,1,148.51],[new Date(“2017-02-20”),1,143.410,1,143.41],[new Date(“2017-02-21”),1,140.710,1,140.71],[new Date(“2017-02-22”),1,137.710,1,137.71],[new Date(“2017-02-23”),1,131.290,1,131.29],[new Date(“2017-02-24”),1,129.504,1,129.50],[new Date(“2017-02-25”),1,129.504,1,129.50],[new Date(“2017-02-26”),1,129.740,1,129.74],[new Date(“2017-02-27”),1,133.450,1,133.45],[new Date(“2017-02-28″),1,136.310,1,136.31],]);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_2’));
chart.draw(data, options);
}

January, 2017

01      1,204.4900
02      1,202.4301
↗2.060, 0.17%
03      1,205.3900
↘2.960, 0.25%
04      1,193.9500
↗11.440, 0.95%
05      1,180.1500
↗13.800, 1.16%
06      1,200.5038
↘20.354, 1.72%
07      1,200.5038
→0.000, 0.00%
08      1,200.5900
↘0.086, 0.01%
09      1,201.9301
↘1.340, 0.11%
10      1,199.9100
↗2.020, 0.17%
11      1,186.6500
↗13.260, 1.11%
12      1,174.2100
↗12.440, 1.05%
13      1,173.5038
↗0.706, 0.06%
14      1,173.5038
→0.000, 0.00%
15      1,174.8900
↘1.386, 0.12%
16      1,181.7700
↘6.880, 0.59%
17      1,159.5300
↗22.240, 1.88%
18      1,176.2900
↘16.760, 1.45%
19      1,173.2900
↗3.000, 0.26%
20      1,173.8900
↘0.600, 0.05%
21      1,173.8900
→0.000, 0.00%
22      1,172.6899
↗1.200, 0.10%
23      1,161.9500
↗10.740, 0.92%
24      1,167.6100
↘5.660, 0.49%
25      1,160.7900
↗6.820, 0.58%
26      1,170.1899
↘9.400, 0.81%
27      1,177.3199
↘7.130, 0.61%
28      1,177.3199
→0.000, 0.00%
29      1,177.0900
↗0.230, 0.02%
30      1,168.2900
↗8.800, 0.75%
31      1,148.7900
↗19.500, 1.67%
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(“2017-01-01”),1,204.490,1,204.49],[new Date(“2017-01-02”),1,202.430,1,202.43],[new Date(“2017-01-03”),1,205.390,1,205.39],[new Date(“2017-01-04”),1,193.950,1,193.95],[new Date(“2017-01-05”),1,180.150,1,180.15],[new Date(“2017-01-06”),1,200.504,1,200.50],[new Date(“2017-01-07”),1,200.504,1,200.50],[new Date(“2017-01-08”),1,200.590,1,200.59],[new Date(“2017-01-09”),1,201.930,1,201.93],[new Date(“2017-01-10”),1,199.910,1,199.91],[new Date(“2017-01-11”),1,186.650,1,186.65],[new Date(“2017-01-12”),1,174.210,1,174.21],[new Date(“2017-01-13”),1,173.504,1,173.50],[new Date(“2017-01-14”),1,173.504,1,173.50],[new Date(“2017-01-15”),1,174.890,1,174.89],[new Date(“2017-01-16”),1,181.770,1,181.77],[new Date(“2017-01-17”),1,159.530,1,159.53],[new Date(“2017-01-18”),1,176.290,1,176.29],[new Date(“2017-01-19”),1,173.290,1,173.29],[new Date(“2017-01-20”),1,173.890,1,173.89],[new Date(“2017-01-21”),1,173.890,1,173.89],[new Date(“2017-01-22”),1,172.690,1,172.69],[new Date(“2017-01-23”),1,161.950,1,161.95],[new Date(“2017-01-24”),1,167.610,1,167.61],[new Date(“2017-01-25”),1,160.790,1,160.79],[new Date(“2017-01-26”),1,170.190,1,170.19],[new Date(“2017-01-27”),1,177.320,1,177.32],[new Date(“2017-01-28”),1,177.320,1,177.32],[new Date(“2017-01-29”),1,177.090,1,177.09],[new Date(“2017-01-30”),1,168.290,1,168.29],[new Date(“2017-01-31″),1,148.790,1,148.79],]);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);
}