Hungarian Forint HUF 2016 Conversion Rates
- Opening Value is 289.720702 HUF per Dollar
- Closing Value is 293.470001 HUF per Dollar
- Change in Value during 2016 is 3.7493 which is 1.29%
- Best Performance is on 2016-05-02 with 270.337998 HUF per Dollar
- Lowest Performance is on 2016-12-15 with 299.779999 HUF per Dollar
- Average Value is 281.3434 HUF per Dollar
- Swing Between the higest and the lowest is 29.4420 per Dollar, that is 10.16% compared to the opening value.
USD to HUF Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2016-12-31 | 293.4700 HUF |
| 2016-11-30 | 295.1800 HUF |
| 2016-10-31 | 281.1700 HUF |
| 2016-09-30 | 275.8300 HUF |
| 2016-08-31 | 277.3500 HUF |
| 2016-07-31 | 278.2300 HUF |
| 2016-06-30 | 284.6478 HUF |
| 2016-05-31 | 281.9424 HUF |
| 2016-04-30 | 272.5670 HUF |
| 2016-03-31 | 276.1369 HUF |
| 2016-02-29 | 284.9601 HUF |
| 2016-01-31 | 287.1349 HUF |
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-31”),293.470,293.47],[new Date(“2016-11-30”),295.180,295.18],[new Date(“2016-10-31”),281.170,281.17],[new Date(“2016-09-30”),275.830,275.83],[new Date(“2016-08-31”),277.350,277.35],[new Date(“2016-07-31”),278.230,278.23],[new Date(“2016-06-30”),284.648,284.65],[new Date(“2016-05-31”),281.942,281.94],[new Date(“2016-04-30”),272.567,272.57],[new Date(“2016-03-31”),276.137,276.14],[new Date(“2016-02-29”),284.960,284.96],[new Date(“2016-01-31”),287.135,287.13],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-31”),293.470,293.47],[new Date(“2016-11-30”),295.180,295.18],[new Date(“2016-10-31”),281.170,281.17],[new Date(“2016-09-30”),275.830,275.83],[new Date(“2016-08-31”),277.350,277.35],[new Date(“2016-07-31”),278.230,278.23],[new Date(“2016-06-30”),284.648,284.65],[new Date(“2016-05-31”),281.942,281.94],[new Date(“2016-04-30”),272.567,272.57],[new Date(“2016-03-31”),276.137,276.14],[new Date(“2016-02-29”),284.960,284.96],[new Date(“2016-01-31”),287.135,287.13],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}
December, 2016
01 294.3900
02 293.7000
↗0.690, 0.23%
03 293.7000
→0.000, 0.00%
04 295.5800
↘1.880, 0.64%
05 291.5200
↗4.060, 1.37%
06 291.6000
↘0.080, 0.03%
07 290.9400
↗0.660, 0.23%
08 295.8200
↘4.880, 1.68%
09 296.6400
↘0.820, 0.28%
10 296.6400
→0.000, 0.00%
11 298.1600
↘1.520, 0.51%
12 295.3100
↗2.850, 0.96%
13 295.3400
↘0.030, 0.01%
14 298.4900
↘3.150, 1.07%
15 299.7800
↘1.290, 0.43%
16 298.9700
↗0.810, 0.27%
17 298.9700
→0.000, 0.00%
18 298.7300
↗0.240, 0.08%
19 299.2000
↘0.470, 0.16%
20 298.9000
↗0.300, 0.10%
21 297.5700
↗1.330, 0.44%
22 297.2000
↗0.370, 0.12%
23 296.6600
↗0.540, 0.18%
24 295.6200
↗1.040, 0.35%
25 295.7200
↘0.100, 0.03%
26 295.8000
↘0.080, 0.03%
27 294.7200
↗1.080, 0.37%
28 296.5500
↘1.830, 0.62%
29 293.8000
↗2.750, 0.93%
30 293.4700
↗0.330, 0.11%
31 293.4700
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-01”),294.390,294.39],[new Date(“2016-12-02”),293.700,293.70],[new Date(“2016-12-03”),293.700,293.70],[new Date(“2016-12-04”),295.580,295.58],[new Date(“2016-12-05”),291.520,291.52],[new Date(“2016-12-06”),291.600,291.60],[new Date(“2016-12-07”),290.940,290.94],[new Date(“2016-12-08”),295.820,295.82],[new Date(“2016-12-09”),296.640,296.64],[new Date(“2016-12-10”),296.640,296.64],[new Date(“2016-12-11”),298.160,298.16],[new Date(“2016-12-12”),295.310,295.31],[new Date(“2016-12-13”),295.340,295.34],[new Date(“2016-12-14”),298.490,298.49],[new Date(“2016-12-15”),299.780,299.78],[new Date(“2016-12-16”),298.970,298.97],[new Date(“2016-12-17”),298.970,298.97],[new Date(“2016-12-18”),298.730,298.73],[new Date(“2016-12-19”),299.200,299.20],[new Date(“2016-12-20”),298.900,298.90],[new Date(“2016-12-21”),297.570,297.57],[new Date(“2016-12-22”),297.200,297.20],[new Date(“2016-12-23”),296.660,296.66],[new Date(“2016-12-24”),295.620,295.62],[new Date(“2016-12-25”),295.720,295.72],[new Date(“2016-12-26”),295.800,295.80],[new Date(“2016-12-27”),294.720,294.72],[new Date(“2016-12-28”),296.550,296.55],[new Date(“2016-12-29”),293.800,293.80],[new Date(“2016-12-30”),293.470,293.47],[new Date(“2016-12-31″),293.470,293.47],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-01”),294.390,294.39],[new Date(“2016-12-02”),293.700,293.70],[new Date(“2016-12-03”),293.700,293.70],[new Date(“2016-12-04”),295.580,295.58],[new Date(“2016-12-05”),291.520,291.52],[new Date(“2016-12-06”),291.600,291.60],[new Date(“2016-12-07”),290.940,290.94],[new Date(“2016-12-08”),295.820,295.82],[new Date(“2016-12-09”),296.640,296.64],[new Date(“2016-12-10”),296.640,296.64],[new Date(“2016-12-11”),298.160,298.16],[new Date(“2016-12-12”),295.310,295.31],[new Date(“2016-12-13”),295.340,295.34],[new Date(“2016-12-14”),298.490,298.49],[new Date(“2016-12-15”),299.780,299.78],[new Date(“2016-12-16”),298.970,298.97],[new Date(“2016-12-17”),298.970,298.97],[new Date(“2016-12-18”),298.730,298.73],[new Date(“2016-12-19”),299.200,299.20],[new Date(“2016-12-20”),298.900,298.90],[new Date(“2016-12-21”),297.570,297.57],[new Date(“2016-12-22”),297.200,297.20],[new Date(“2016-12-23”),296.660,296.66],[new Date(“2016-12-24”),295.620,295.62],[new Date(“2016-12-25”),295.720,295.72],[new Date(“2016-12-26”),295.800,295.80],[new Date(“2016-12-27”),294.720,294.72],[new Date(“2016-12-28”),296.550,296.55],[new Date(“2016-12-29”),293.800,293.80],[new Date(“2016-12-30”),293.470,293.47],[new Date(“2016-12-31″),293.470,293.47],]);var options = {
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}
November, 2016
01 278.4300
02 277.6800
↗0.750, 0.27%
03 276.1000
↗1.580, 0.57%
04 276.0004
↗0.100, 0.04%
05 276.0004
→0.000, 0.00%
06 275.3600
↗0.640, 0.23%
07 276.1100
↘0.750, 0.27%
08 276.8400
↘0.730, 0.26%
09 279.6200
↘2.780, 1.00%
10 282.2200
↘2.600, 0.93%
11 283.6500
↘1.430, 0.51%
12 283.6500
→0.000, 0.00%
13 285.5002
↘1.850, 0.65%
14 289.0500
↘3.550, 1.24%
15 288.8000
↗0.250, 0.09%
16 289.6000
↘0.800, 0.28%
17 291.3400
↘1.740, 0.60%
18 291.0004
↗0.340, 0.12%
19 291.0004
→0.000, 0.00%
20 291.5600
↘0.560, 0.19%
21 290.3100
↗1.250, 0.43%
22 289.8900
↗0.420, 0.14%
23 294.1400
↘4.250, 1.47%
24 294.0700
↗0.070, 0.02%
25 291.1500
↗2.920, 0.99%
26 291.1500
→0.000, 0.00%
27 292.1200
↘0.970, 0.33%
28 292.8800
↘0.760, 0.26%
29 292.6100
↗0.270, 0.09%
30 295.1800
↘2.570, 0.88%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-11-01”),278.430,278.43],[new Date(“2016-11-02”),277.680,277.68],[new Date(“2016-11-03”),276.100,276.10],[new Date(“2016-11-04”),276.000,276.00],[new Date(“2016-11-05”),276.000,276.00],[new Date(“2016-11-06”),275.360,275.36],[new Date(“2016-11-07”),276.110,276.11],[new Date(“2016-11-08”),276.840,276.84],[new Date(“2016-11-09”),279.620,279.62],[new Date(“2016-11-10”),282.220,282.22],[new Date(“2016-11-11”),283.650,283.65],[new Date(“2016-11-12”),283.650,283.65],[new Date(“2016-11-13”),285.500,285.50],[new Date(“2016-11-14”),289.050,289.05],[new Date(“2016-11-15”),288.800,288.80],[new Date(“2016-11-16”),289.600,289.60],[new Date(“2016-11-17”),291.340,291.34],[new Date(“2016-11-18”),291.000,291.00],[new Date(“2016-11-19”),291.000,291.00],[new Date(“2016-11-20”),291.560,291.56],[new Date(“2016-11-21”),290.310,290.31],[new Date(“2016-11-22”),289.890,289.89],[new Date(“2016-11-23”),294.140,294.14],[new Date(“2016-11-24”),294.070,294.07],[new Date(“2016-11-25”),291.150,291.15],[new Date(“2016-11-26”),291.150,291.15],[new Date(“2016-11-27”),292.120,292.12],[new Date(“2016-11-28”),292.880,292.88],[new Date(“2016-11-29”),292.610,292.61],[new Date(“2016-11-30″),295.180,295.18],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-11-01”),278.430,278.43],[new Date(“2016-11-02”),277.680,277.68],[new Date(“2016-11-03”),276.100,276.10],[new Date(“2016-11-04”),276.000,276.00],[new Date(“2016-11-05”),276.000,276.00],[new Date(“2016-11-06”),275.360,275.36],[new Date(“2016-11-07”),276.110,276.11],[new Date(“2016-11-08”),276.840,276.84],[new Date(“2016-11-09”),279.620,279.62],[new Date(“2016-11-10”),282.220,282.22],[new Date(“2016-11-11”),283.650,283.65],[new Date(“2016-11-12”),283.650,283.65],[new Date(“2016-11-13”),285.500,285.50],[new Date(“2016-11-14”),289.050,289.05],[new Date(“2016-11-15”),288.800,288.80],[new Date(“2016-11-16”),289.600,289.60],[new Date(“2016-11-17”),291.340,291.34],[new Date(“2016-11-18”),291.000,291.00],[new Date(“2016-11-19”),291.000,291.00],[new Date(“2016-11-20”),291.560,291.56],[new Date(“2016-11-21”),290.310,290.31],[new Date(“2016-11-22”),289.890,289.89],[new Date(“2016-11-23”),294.140,294.14],[new Date(“2016-11-24”),294.070,294.07],[new Date(“2016-11-25”),291.150,291.15],[new Date(“2016-11-26”),291.150,291.15],[new Date(“2016-11-27”),292.120,292.12],[new Date(“2016-11-28”),292.880,292.88],[new Date(“2016-11-29”),292.610,292.61],[new Date(“2016-11-30″),295.180,295.18],]);var options = {
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
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October, 2016
01 275.8300
02 274.1500
↗1.680, 0.61%
03 274.1600
↘0.010, 0.00%
04 274.0700
↗0.090, 0.03%
05 272.0600
↗2.010, 0.73%
06 272.3400
↘0.280, 0.10%
07 271.8500
↗0.490, 0.18%
08 271.8500
→0.000, 0.00%
09 271.8900
↘0.040, 0.01%
10 272.9400
↘1.050, 0.39%
11 275.5500
↘2.610, 0.96%
12 277.3600
↘1.810, 0.66%
13 276.3000
↗1.060, 0.38%
14 277.5038
↘1.204, 0.44%
15 277.5038
→0.000, 0.00%
16 278.5100
↘1.006, 0.36%
17 278.6000
↘0.090, 0.03%
18 279.0800
↘0.480, 0.17%
19 279.3700
↘0.290, 0.10%
20 281.0600
↘1.690, 0.60%
21 283.1500
↘2.090, 0.74%
22 283.1500
→0.000, 0.00%
23 283.4500
↘0.300, 0.11%
24 283.6600
↘0.210, 0.07%
25 283.4925
↗0.168, 0.06%
26 282.9997
↗0.493, 0.17%
27 283.6700
↘0.670, 0.24%
28 283.0004
↗0.670, 0.24%
29 283.0004
→0.000, 0.00%
30 281.7300
↗1.270, 0.45%
31 281.1700
↗0.560, 0.20%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-10-01”),275.830,275.83],[new Date(“2016-10-02”),274.150,274.15],[new Date(“2016-10-03”),274.160,274.16],[new Date(“2016-10-04”),274.070,274.07],[new Date(“2016-10-05”),272.060,272.06],[new Date(“2016-10-06”),272.340,272.34],[new Date(“2016-10-07”),271.850,271.85],[new Date(“2016-10-08”),271.850,271.85],[new Date(“2016-10-09”),271.890,271.89],[new Date(“2016-10-10”),272.940,272.94],[new Date(“2016-10-11”),275.550,275.55],[new Date(“2016-10-12”),277.360,277.36],[new Date(“2016-10-13”),276.300,276.30],[new Date(“2016-10-14”),277.504,277.50],[new Date(“2016-10-15”),277.504,277.50],[new Date(“2016-10-16”),278.510,278.51],[new Date(“2016-10-17”),278.600,278.60],[new Date(“2016-10-18”),279.080,279.08],[new Date(“2016-10-19”),279.370,279.37],[new Date(“2016-10-20”),281.060,281.06],[new Date(“2016-10-21”),283.150,283.15],[new Date(“2016-10-22”),283.150,283.15],[new Date(“2016-10-23”),283.450,283.45],[new Date(“2016-10-24”),283.660,283.66],[new Date(“2016-10-25”),283.492,283.49],[new Date(“2016-10-26”),283.000,283.00],[new Date(“2016-10-27”),283.670,283.67],[new Date(“2016-10-28”),283.000,283.00],[new Date(“2016-10-29”),283.000,283.00],[new Date(“2016-10-30”),281.730,281.73],[new Date(“2016-10-31″),281.170,281.17],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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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);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-10-01”),275.830,275.83],[new Date(“2016-10-02”),274.150,274.15],[new Date(“2016-10-03”),274.160,274.16],[new Date(“2016-10-04”),274.070,274.07],[new Date(“2016-10-05”),272.060,272.06],[new Date(“2016-10-06”),272.340,272.34],[new Date(“2016-10-07”),271.850,271.85],[new Date(“2016-10-08”),271.850,271.85],[new Date(“2016-10-09”),271.890,271.89],[new Date(“2016-10-10”),272.940,272.94],[new Date(“2016-10-11”),275.550,275.55],[new Date(“2016-10-12”),277.360,277.36],[new Date(“2016-10-13”),276.300,276.30],[new Date(“2016-10-14”),277.504,277.50],[new Date(“2016-10-15”),277.504,277.50],[new Date(“2016-10-16”),278.510,278.51],[new Date(“2016-10-17”),278.600,278.60],[new Date(“2016-10-18”),279.080,279.08],[new Date(“2016-10-19”),279.370,279.37],[new Date(“2016-10-20”),281.060,281.06],[new Date(“2016-10-21”),283.150,283.15],[new Date(“2016-10-22”),283.150,283.15],[new Date(“2016-10-23”),283.450,283.45],[new Date(“2016-10-24”),283.660,283.66],[new Date(“2016-10-25”),283.492,283.49],[new Date(“2016-10-26”),283.000,283.00],[new Date(“2016-10-27”),283.670,283.67],[new Date(“2016-10-28”),283.000,283.00],[new Date(“2016-10-29”),283.000,283.00],[new Date(“2016-10-30”),281.730,281.73],[new Date(“2016-10-31″),281.170,281.17],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}
September, 2016
01 276.3600
02 276.8000
↘0.440, 0.16%
03 276.8000
→0.000, 0.00%
04 277.4600
↘0.660, 0.24%
05 277.7600
↘0.300, 0.11%
06 275.0600
↗2.700, 0.97%
07 274.3100
↗0.750, 0.27%
08 273.5600
↗0.750, 0.27%
09 272.8500
↗0.710, 0.26%
10 272.8500
→0.000, 0.00%
11 275.2900
↘2.440, 0.89%
12 275.1300
↗0.160, 0.06%
13 276.1200
↘0.990, 0.36%
14 275.6500
↗0.470, 0.17%
15 275.3700
↗0.280, 0.10%
16 275.2504
↗0.120, 0.04%
17 275.2504
→0.000, 0.00%
18 276.0500
↘0.800, 0.29%
19 276.0600
↘0.010, 0.00%
20 276.8600
↘0.800, 0.29%
21 275.0500
↗1.810, 0.65%
22 272.8500
↗2.200, 0.80%
23 271.7504
↗1.100, 0.40%
24 271.7504
→0.000, 0.00%
25 271.9600
↘0.210, 0.08%
26 272.6400
↘0.680, 0.25%
27 273.7300
↘1.090, 0.40%
28 274.2600
↘0.530, 0.19%
29 274.9900
↘0.730, 0.27%
30 275.8300
↘0.840, 0.31%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-09-01”),276.360,276.36],[new Date(“2016-09-02”),276.800,276.80],[new Date(“2016-09-03”),276.800,276.80],[new Date(“2016-09-04”),277.460,277.46],[new Date(“2016-09-05”),277.760,277.76],[new Date(“2016-09-06”),275.060,275.06],[new Date(“2016-09-07”),274.310,274.31],[new Date(“2016-09-08”),273.560,273.56],[new Date(“2016-09-09”),272.850,272.85],[new Date(“2016-09-10”),272.850,272.85],[new Date(“2016-09-11”),275.290,275.29],[new Date(“2016-09-12”),275.130,275.13],[new Date(“2016-09-13”),276.120,276.12],[new Date(“2016-09-14”),275.650,275.65],[new Date(“2016-09-15”),275.370,275.37],[new Date(“2016-09-16”),275.250,275.25],[new Date(“2016-09-17”),275.250,275.25],[new Date(“2016-09-18”),276.050,276.05],[new Date(“2016-09-19”),276.060,276.06],[new Date(“2016-09-20”),276.860,276.86],[new Date(“2016-09-21”),275.050,275.05],[new Date(“2016-09-22”),272.850,272.85],[new Date(“2016-09-23”),271.750,271.75],[new Date(“2016-09-24”),271.750,271.75],[new Date(“2016-09-25”),271.960,271.96],[new Date(“2016-09-26”),272.640,272.64],[new Date(“2016-09-27”),273.730,273.73],[new Date(“2016-09-28”),274.260,274.26],[new Date(“2016-09-29”),274.990,274.99],[new Date(“2016-09-30″),275.830,275.83],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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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);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-09-01”),276.360,276.36],[new Date(“2016-09-02”),276.800,276.80],[new Date(“2016-09-03”),276.800,276.80],[new Date(“2016-09-04”),277.460,277.46],[new Date(“2016-09-05”),277.760,277.76],[new Date(“2016-09-06”),275.060,275.06],[new Date(“2016-09-07”),274.310,274.31],[new Date(“2016-09-08”),273.560,273.56],[new Date(“2016-09-09”),272.850,272.85],[new Date(“2016-09-10”),272.850,272.85],[new Date(“2016-09-11”),275.290,275.29],[new Date(“2016-09-12”),275.130,275.13],[new Date(“2016-09-13”),276.120,276.12],[new Date(“2016-09-14”),275.650,275.65],[new Date(“2016-09-15”),275.370,275.37],[new Date(“2016-09-16”),275.250,275.25],[new Date(“2016-09-17”),275.250,275.25],[new Date(“2016-09-18”),276.050,276.05],[new Date(“2016-09-19”),276.060,276.06],[new Date(“2016-09-20”),276.860,276.86],[new Date(“2016-09-21”),275.050,275.05],[new Date(“2016-09-22”),272.850,272.85],[new Date(“2016-09-23”),271.750,271.75],[new Date(“2016-09-24”),271.750,271.75],[new Date(“2016-09-25”),271.960,271.96],[new Date(“2016-09-26”),272.640,272.64],[new Date(“2016-09-27”),273.730,273.73],[new Date(“2016-09-28”),274.260,274.26],[new Date(“2016-09-29”),274.990,274.99],[new Date(“2016-09-30″),275.830,275.83],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}
August, 2016
01 278.2200
02 277.1100
↗1.110, 0.40%
03 278.6500
↘1.540, 0.56%
04 279.0300
↘0.380, 0.14%
05 280.4000
↘1.370, 0.49%
06 280.4000
→0.000, 0.00%
07 279.7300
↗0.670, 0.24%
08 280.6900
↘0.960, 0.34%
09 279.2800
↗1.410, 0.50%
10 277.2900
↗1.990, 0.71%
11 278.1200
↘0.830, 0.30%
12 276.7504
↗1.370, 0.49%
13 276.7504
→0.000, 0.00%
14 277.0700
↘0.320, 0.12%
15 276.3500
↗0.720, 0.26%
16 274.3800
↗1.970, 0.71%
17 274.8600
↘0.480, 0.17%
18 272.9700
↗1.890, 0.69%
19 273.7000
↘0.730, 0.27%
20 273.7000
→0.000, 0.00%
21 274.5041
↘0.804, 0.29%
22 274.1800
↗0.324, 0.12%
23 274.0400
↗0.140, 0.05%
24 274.4500
↘0.410, 0.15%
25 273.9400
↗0.510, 0.19%
26 273.3000
↗0.640, 0.23%
27 273.3000
→0.000, 0.00%
28 275.3400
↘2.040, 0.75%
29 275.5300
↘0.190, 0.07%
30 277.5100
↘1.980, 0.72%
31 277.3500
↗0.160, 0.06%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-08-01”),278.220,278.22],[new Date(“2016-08-02”),277.110,277.11],[new Date(“2016-08-03”),278.650,278.65],[new Date(“2016-08-04”),279.030,279.03],[new Date(“2016-08-05”),280.400,280.40],[new Date(“2016-08-06”),280.400,280.40],[new Date(“2016-08-07”),279.730,279.73],[new Date(“2016-08-08”),280.690,280.69],[new Date(“2016-08-09”),279.280,279.28],[new Date(“2016-08-10”),277.290,277.29],[new Date(“2016-08-11”),278.120,278.12],[new Date(“2016-08-12”),276.750,276.75],[new Date(“2016-08-13”),276.750,276.75],[new Date(“2016-08-14”),277.070,277.07],[new Date(“2016-08-15”),276.350,276.35],[new Date(“2016-08-16”),274.380,274.38],[new Date(“2016-08-17”),274.860,274.86],[new Date(“2016-08-18”),272.970,272.97],[new Date(“2016-08-19”),273.700,273.70],[new Date(“2016-08-20”),273.700,273.70],[new Date(“2016-08-21”),274.504,274.50],[new Date(“2016-08-22”),274.180,274.18],[new Date(“2016-08-23”),274.040,274.04],[new Date(“2016-08-24”),274.450,274.45],[new Date(“2016-08-25”),273.940,273.94],[new Date(“2016-08-26”),273.300,273.30],[new Date(“2016-08-27”),273.300,273.30],[new Date(“2016-08-28”),275.340,275.34],[new Date(“2016-08-29”),275.530,275.53],[new Date(“2016-08-30”),277.510,277.51],[new Date(“2016-08-31″),277.350,277.35],]);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);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-08-01”),278.220,278.22],[new Date(“2016-08-02”),277.110,277.11],[new Date(“2016-08-03”),278.650,278.65],[new Date(“2016-08-04”),279.030,279.03],[new Date(“2016-08-05”),280.400,280.40],[new Date(“2016-08-06”),280.400,280.40],[new Date(“2016-08-07”),279.730,279.73],[new Date(“2016-08-08”),280.690,280.69],[new Date(“2016-08-09”),279.280,279.28],[new Date(“2016-08-10”),277.290,277.29],[new Date(“2016-08-11”),278.120,278.12],[new Date(“2016-08-12”),276.750,276.75],[new Date(“2016-08-13”),276.750,276.75],[new Date(“2016-08-14”),277.070,277.07],[new Date(“2016-08-15”),276.350,276.35],[new Date(“2016-08-16”),274.380,274.38],[new Date(“2016-08-17”),274.860,274.86],[new Date(“2016-08-18”),272.970,272.97],[new Date(“2016-08-19”),273.700,273.70],[new Date(“2016-08-20”),273.700,273.70],[new Date(“2016-08-21”),274.504,274.50],[new Date(“2016-08-22”),274.180,274.18],[new Date(“2016-08-23”),274.040,274.04],[new Date(“2016-08-24”),274.450,274.45],[new Date(“2016-08-25”),273.940,273.94],[new Date(“2016-08-26”),273.300,273.30],[new Date(“2016-08-27”),273.300,273.30],[new Date(“2016-08-28”),275.340,275.34],[new Date(“2016-08-29”),275.530,275.53],[new Date(“2016-08-30”),277.510,277.51],[new Date(“2016-08-31″),277.350,277.35],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}
July, 2016
01 284.5167
02 284.4362
↗0.081, 0.03%
03 284.7202
↘0.284, 0.10%
04 284.1712
↗0.549, 0.19%
05 285.8165
↘1.645, 0.58%
06 285.1065
↗0.710, 0.25%
07 285.2682
↘0.162, 0.06%
08 284.3430
↗0.925, 0.32%
09 284.3426
↗0.000, 0.00%
10 284.3270
↗0.016, 0.01%
11 283.7530
↗0.574, 0.20%
12 283.7629
↘0.010, 0.00%
13 282.9598
↗0.803, 0.28%
14 282.9698
↘0.010, 0.00%
15 282.6500
↗0.320, 0.11%
16 282.6500
→0.000, 0.00%
17 285.0800
↘2.430, 0.86%
18 284.2700
↗0.810, 0.28%
19 285.9900
↘1.720, 0.61%
20 285.0200
↗0.970, 0.34%
21 284.1800
↗0.840, 0.29%
22 284.4000
↘0.220, 0.08%
23 284.4000
→0.000, 0.00%
24 285.2700
↘0.870, 0.31%
25 284.0400
↗1.230, 0.43%
26 284.7700
↘0.730, 0.26%
27 282.5600
↗2.210, 0.78%
28 281.0500
↗1.510, 0.53%
29 280.2504
↗0.800, 0.28%
30 280.2504
→0.000, 0.00%
31 278.2300
↗2.020, 0.72%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-07-01”),284.517,284.52],[new Date(“2016-07-02”),284.436,284.44],[new Date(“2016-07-03”),284.720,284.72],[new Date(“2016-07-04”),284.171,284.17],[new Date(“2016-07-05”),285.816,285.82],[new Date(“2016-07-06”),285.106,285.11],[new Date(“2016-07-07”),285.268,285.27],[new Date(“2016-07-08”),284.343,284.34],[new Date(“2016-07-09”),284.343,284.34],[new Date(“2016-07-10”),284.327,284.33],[new Date(“2016-07-11”),283.753,283.75],[new Date(“2016-07-12”),283.763,283.76],[new Date(“2016-07-13”),282.960,282.96],[new Date(“2016-07-14”),282.970,282.97],[new Date(“2016-07-15”),282.650,282.65],[new Date(“2016-07-16”),282.650,282.65],[new Date(“2016-07-17”),285.080,285.08],[new Date(“2016-07-18”),284.270,284.27],[new Date(“2016-07-19”),285.990,285.99],[new Date(“2016-07-20”),285.020,285.02],[new Date(“2016-07-21”),284.180,284.18],[new Date(“2016-07-22”),284.400,284.40],[new Date(“2016-07-23”),284.400,284.40],[new Date(“2016-07-24”),285.270,285.27],[new Date(“2016-07-25”),284.040,284.04],[new Date(“2016-07-26”),284.770,284.77],[new Date(“2016-07-27”),282.560,282.56],[new Date(“2016-07-28”),281.050,281.05],[new Date(“2016-07-29”),280.250,280.25],[new Date(“2016-07-30”),280.250,280.25],[new Date(“2016-07-31″),278.230,278.23],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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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);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-07-01”),284.517,284.52],[new Date(“2016-07-02”),284.436,284.44],[new Date(“2016-07-03”),284.720,284.72],[new Date(“2016-07-04”),284.171,284.17],[new Date(“2016-07-05”),285.816,285.82],[new Date(“2016-07-06”),285.106,285.11],[new Date(“2016-07-07”),285.268,285.27],[new Date(“2016-07-08”),284.343,284.34],[new Date(“2016-07-09”),284.343,284.34],[new Date(“2016-07-10”),284.327,284.33],[new Date(“2016-07-11”),283.753,283.75],[new Date(“2016-07-12”),283.763,283.76],[new Date(“2016-07-13”),282.960,282.96],[new Date(“2016-07-14”),282.970,282.97],[new Date(“2016-07-15”),282.650,282.65],[new Date(“2016-07-16”),282.650,282.65],[new Date(“2016-07-17”),285.080,285.08],[new Date(“2016-07-18”),284.270,284.27],[new Date(“2016-07-19”),285.990,285.99],[new Date(“2016-07-20”),285.020,285.02],[new Date(“2016-07-21”),284.180,284.18],[new Date(“2016-07-22”),284.400,284.40],[new Date(“2016-07-23”),284.400,284.40],[new Date(“2016-07-24”),285.270,285.27],[new Date(“2016-07-25”),284.040,284.04],[new Date(“2016-07-26”),284.770,284.77],[new Date(“2016-07-27”),282.560,282.56],[new Date(“2016-07-28”),281.050,281.05],[new Date(“2016-07-29”),280.250,280.25],[new Date(“2016-07-30”),280.250,280.25],[new Date(“2016-07-31″),278.230,278.23],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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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);
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June, 2016
01 280.7961
02 280.5611
↗0.235, 0.08%
03 275.9332
↗4.628, 1.65%
04 275.6297
↗0.303, 0.11%
05 274.9545
↗0.675, 0.24%
06 274.0676
↗0.887, 0.32%
07 273.6673
↗0.400, 0.15%
08 272.6657
↗1.002, 0.37%
09 274.5116
↘1.846, 0.68%
10 276.8121
↘2.300, 0.84%
11 277.2411
↘0.429, 0.15%
12 277.5418
↘0.301, 0.11%
13 277.1928
↗0.349, 0.13%
14 279.6552
↘2.462, 0.89%
15 278.9825
↗0.673, 0.24%
16 279.7037
↘0.721, 0.26%
17 278.8890
↗0.815, 0.29%
18 278.7172
↗0.172, 0.06%
19 277.9092
↗0.808, 0.29%
20 277.0912
↗0.818, 0.29%
21 278.9861
↘1.895, 0.68%
22 277.5329
↗1.453, 0.52%
23 275.4753
↗2.058, 0.74%
24 283.8688
↘8.394, 3.05%
25 285.3798
↘1.511, 0.53%
26 286.4586
↘1.079, 0.38%
27 288.2026
↘1.744, 0.61%
28 286.5827
↗1.620, 0.56%
29 285.2868
↗1.296, 0.45%
30 284.6478
↗0.639, 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(“2016-06-01”),280.796,280.80],[new Date(“2016-06-02”),280.561,280.56],[new Date(“2016-06-03”),275.933,275.93],[new Date(“2016-06-04”),275.630,275.63],[new Date(“2016-06-05”),274.955,274.95],[new Date(“2016-06-06”),274.068,274.07],[new Date(“2016-06-07”),273.667,273.67],[new Date(“2016-06-08”),272.666,272.67],[new Date(“2016-06-09”),274.512,274.51],[new Date(“2016-06-10”),276.812,276.81],[new Date(“2016-06-11”),277.241,277.24],[new Date(“2016-06-12”),277.542,277.54],[new Date(“2016-06-13”),277.193,277.19],[new Date(“2016-06-14”),279.655,279.66],[new Date(“2016-06-15”),278.983,278.98],[new Date(“2016-06-16”),279.704,279.70],[new Date(“2016-06-17”),278.889,278.89],[new Date(“2016-06-18”),278.717,278.72],[new Date(“2016-06-19”),277.909,277.91],[new Date(“2016-06-20”),277.091,277.09],[new Date(“2016-06-21”),278.986,278.99],[new Date(“2016-06-22”),277.533,277.53],[new Date(“2016-06-23”),275.475,275.48],[new Date(“2016-06-24”),283.869,283.87],[new Date(“2016-06-25”),285.380,285.38],[new Date(“2016-06-26”),286.459,286.46],[new Date(“2016-06-27”),288.203,288.20],[new Date(“2016-06-28”),286.583,286.58],[new Date(“2016-06-29”),285.287,285.29],[new Date(“2016-06-30″),284.648,284.65],]);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);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),280.796,280.80],[new Date(“2016-06-02”),280.561,280.56],[new Date(“2016-06-03”),275.933,275.93],[new Date(“2016-06-04”),275.630,275.63],[new Date(“2016-06-05”),274.955,274.95],[new Date(“2016-06-06”),274.068,274.07],[new Date(“2016-06-07”),273.667,273.67],[new Date(“2016-06-08”),272.666,272.67],[new Date(“2016-06-09”),274.512,274.51],[new Date(“2016-06-10”),276.812,276.81],[new Date(“2016-06-11”),277.241,277.24],[new Date(“2016-06-12”),277.542,277.54],[new Date(“2016-06-13”),277.193,277.19],[new Date(“2016-06-14”),279.655,279.66],[new Date(“2016-06-15”),278.983,278.98],[new Date(“2016-06-16”),279.704,279.70],[new Date(“2016-06-17”),278.889,278.89],[new Date(“2016-06-18”),278.717,278.72],[new Date(“2016-06-19”),277.909,277.91],[new Date(“2016-06-20”),277.091,277.09],[new Date(“2016-06-21”),278.986,278.99],[new Date(“2016-06-22”),277.533,277.53],[new Date(“2016-06-23”),275.475,275.48],[new Date(“2016-06-24”),283.869,283.87],[new Date(“2016-06-25”),285.380,285.38],[new Date(“2016-06-26”),286.459,286.46],[new Date(“2016-06-27”),288.203,288.20],[new Date(“2016-06-28”),286.583,286.58],[new Date(“2016-06-29”),285.287,285.29],[new Date(“2016-06-30″),284.648,284.65],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}
May, 2016
01 272.5110
02 270.3380
↗2.173, 0.80%
03 271.4775
↘1.140, 0.42%
04 271.9718
↘0.494, 0.18%
05 273.7723
↘1.801, 0.66%
06 275.1158
↘1.343, 0.49%
07 275.3821
↘0.266, 0.10%
08 275.5677
↘0.186, 0.07%
09 276.9429
↘1.375, 0.50%
10 276.6135
↗0.329, 0.12%
11 276.5558
↗0.058, 0.02%
12 277.1946
↘0.639, 0.23%
13 278.4443
↘1.250, 0.45%
14 278.7404
↘0.296, 0.11%
15 278.9678
↘0.227, 0.08%
16 278.7828
↗0.185, 0.07%
17 278.7568
↗0.026, 0.01%
18 280.6928
↘1.936, 0.69%
19 281.1048
↘0.412, 0.15%
20 281.0038
↗0.101, 0.04%
21 281.0137
↘0.010, 0.00%
22 281.1627
↘0.149, 0.05%
23 282.6028
↘1.440, 0.51%
24 282.8759
↘0.273, 0.10%
25 281.9420
↗0.934, 0.33%
26 280.9056
↗1.036, 0.37%
27 282.2491
↘1.343, 0.48%
28 282.3090
↘0.060, 0.02%
29 282.5919
↘0.283, 0.10%
30 281.9662
↗0.626, 0.22%
31 281.9424
↗0.024, 0.01%
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April, 2016
01 275.5855
02 275.3124
↗0.273, 0.10%
03 275.2668
↗0.046, 0.02%
04 274.4975
↗0.769, 0.28%
05 275.0526
↘0.555, 0.20%
06 274.1400
↗0.913, 0.33%
07 274.6411
↘0.501, 0.18%
08 274.1685
↗0.473, 0.17%
09 274.2590
↘0.091, 0.03%
10 274.0639
↗0.195, 0.07%
11 273.5159
↗0.548, 0.20%
12 273.4354
↗0.081, 0.03%
13 275.1643
↘1.729, 0.63%
14 276.0280
↘0.864, 0.31%
15 275.8537
↗0.174, 0.06%
16 275.7772
↗0.077, 0.03%
17 275.6638
↗0.113, 0.04%
18 275.2101
↗0.454, 0.16%
19 273.3258
↗1.884, 0.68%
20 273.7503
↘0.425, 0.16%
21 274.1479
↘0.398, 0.15%
22 276.0570
↘1.909, 0.70%
23 276.3039
↘0.247, 0.09%
24 276.5016
↘0.198, 0.07%
25 276.6610
↘0.159, 0.06%
26 275.9489
↗0.712, 0.26%
27 275.2935
↗0.655, 0.24%
28 274.6224
↗0.671, 0.24%
29 272.7916
↗1.831, 0.67%
30 272.5670
↗0.225, 0.08%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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March, 2016
01 285.0204
02 285.6994
↘0.679, 0.24%
03 283.5229
↗2.177, 0.76%
04 281.0093
↗2.514, 0.89%
05 280.5000
↗0.509, 0.18%
06 280.3728
↗0.127, 0.05%
07 281.3081
↘0.935, 0.33%
08 281.6121
↘0.304, 0.11%
09 281.1728
↗0.439, 0.16%
10 279.1693
↗2.003, 0.71%
11 278.7068
↗0.463, 0.17%
12 278.2305
↗0.476, 0.17%
13 278.0067
↗0.224, 0.08%
14 279.1270
↘1.120, 0.40%
15 279.4420
↘0.315, 0.11%
16 278.1683
↗1.274, 0.46%
17 275.4352
↗2.733, 0.98%
18 275.2297
↗0.205, 0.07%
19 275.0047
↗0.225, 0.08%
20 275.0245
↘0.020, 0.01%
21 276.1902
↘1.166, 0.42%
22 277.2924
↘1.102, 0.40%
23 279.4716
↘2.179, 0.79%
24 280.4827
↘1.011, 0.36%
25 280.9678
↘0.485, 0.17%
26 281.0022
↘0.034, 0.01%
27 281.0848
↘0.083, 0.03%
28 280.1168
↗0.968, 0.34%
29 278.0175
↗2.099, 0.75%
30 278.2173
↘0.200, 0.07%
31 276.1369
↗2.080, 0.75%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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chart.draw(data, options);
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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February, 2016
01 285.4349
02 285.8186
↘0.384, 0.13%
03 281.7491
↗4.069, 1.42%
04 278.6159
↗3.133, 1.11%
05 277.5058
↗1.110, 0.40%
06 277.2139
↗0.292, 0.11%
07 277.3263
↘0.112, 0.04%
08 277.5261
↘0.200, 0.07%
09 276.6334
↗0.893, 0.32%
10 276.3111
↗0.322, 0.12%
11 275.2223
↗1.089, 0.39%
12 275.3611
↘0.139, 0.05%
13 275.3108
↗0.050, 0.02%
14 275.5555
↘0.245, 0.09%
15 277.0215
↘1.466, 0.53%
16 278.5077
↘1.486, 0.54%
17 278.4633
↗0.044, 0.02%
18 279.1107
↘0.647, 0.23%
19 277.5053
↗1.605, 0.58%
20 277.4641
↗0.041, 0.01%
21 277.3930
↗0.071, 0.03%
22 278.1990
↘0.806, 0.29%
23 279.3877
↘1.189, 0.43%
24 280.9648
↘1.577, 0.56%
25 282.2041
↘1.239, 0.44%
26 284.3020
↘2.098, 0.74%
27 284.5265
↘0.224, 0.08%
28 285.0442
↘0.518, 0.18%
29 284.9601
↗0.084, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
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January, 2016
01 289.7207
02 290.2179
↘0.497, 0.17%
03 289.9970
↗0.221, 0.08%
04 290.7494
↘0.752, 0.26%
05 291.3570
↘0.608, 0.21%
06 291.9474
↘0.590, 0.20%
07 288.8707
↗3.077, 1.05%
08 289.9851
↘1.114, 0.39%
09 289.7761
↗0.209, 0.07%
10 289.4831
↗0.293, 0.10%
11 291.8399
↘2.357, 0.81%
12 291.4553
↗0.385, 0.13%
13 290.6708
↗0.785, 0.27%
14 290.0357
↗0.635, 0.22%
15 289.1190
↗0.917, 0.32%
16 288.8691
↗0.250, 0.09%
17 288.9753
↘0.106, 0.04%
18 289.3898
↘0.414, 0.14%
19 288.9814
↗0.408, 0.14%
20 289.1749
↘0.193, 0.07%
21 289.2784
↘0.103, 0.04%
22 288.6953
↗0.583, 0.20%
23 288.6303
↗0.065, 0.02%
24 288.6352
↘0.005, 0.00%
25 288.0181
↗0.617, 0.21%
26 287.4738
↗0.544, 0.19%
27 288.0591
↘0.585, 0.20%
28 286.8297
↗1.229, 0.43%
29 287.2485
↘0.419, 0.15%
30 287.1170
↗0.131, 0.05%
31 287.1349
↘0.018, 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”);
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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chart.draw(data, options);
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