Iranian Rial IRR 2016 Conversion Rates
- Opening Value is 29991.500000 IRR per Dollar
- Closing Value is 32376.000352 IRR per Dollar
- Change in Value during 2016 is 2,384.5004 which is 7.95%
- Best Performance is on 2016-02-02,2016-02-03 with 29988.500000 IRR per Dollar
- Lowest Performance is on 2016-12-29 with 32376.000515 IRR per Dollar
- Average Value is 30,543.1708 IRR per Dollar
- Swing Between the higest and the lowest is 2,387.5005 per Dollar, that is 7.96% compared to the opening value.
USD to IRR Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2016-12-31 | 32,376.0004 IRR |
| 2016-11-30 | 32,091.0003 IRR |
| 2016-10-31 | 31,778.0001 IRR |
| 2016-09-30 | 30,058.0004 IRR |
| 2016-08-31 | 30,095.0004 IRR |
| 2016-07-31 | 30,064.9997 IRR |
| 2016-06-30 | 30,112.5000 IRR |
| 2016-05-31 | 30,309.0000 IRR |
| 2016-04-30 | 30,251.5000 IRR |
| 2016-03-31 | 30,225.0000 IRR |
| 2016-02-29 | 30,203.5000 IRR |
| 2016-01-31 | 29,989.0000 IRR |
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December, 2016
01 32,090.0004
02 32,090.0004
↗0.000, 0.00%
03 32,090.0004
→0.000, 0.00%
04 32,090.0000
↗0.000, 0.00%
05 32,119.9998
↘30.000, 0.09%
06 32,074.9998
↗45.000, 0.14%
07 32,150.9995
↘76.000, 0.24%
08 32,149.9999
↗1.000, 0.00%
09 32,150.0004
↘0.000, 0.00%
10 32,150.0004
→0.000, 0.00%
11 32,150.0004
↘0.000, 0.00%
12 32,229.0001
↘79.000, 0.25%
13 32,227.0002
↗2.000, 0.01%
14 32,226.0000
↗1.000, 0.00%
15 32,090.0004
↗136.000, 0.42%
16 32,255.0004
↘165.000, 0.51%
17 32,255.0004
→0.000, 0.00%
18 32,255.0000
↗0.000, 0.00%
19 32,287.9999
↘33.000, 0.10%
20 32,320.9999
↘33.000, 0.10%
21 32,320.0002
↗1.000, 0.00%
22 32,319.0001
↗1.000, 0.00%
23 32,319.0004
↘0.000, 0.00%
24 32,319.0004
→0.000, 0.00%
25 32,318.9998
↗0.001, 0.00%
26 32,317.0004
↗1.999, 0.01%
27 32,348.9997
↘31.999, 0.10%
28 32,348.0000
↗1.000, 0.00%
29 32,376.0005
↘28.000, 0.09%
30 32,376.0004
↗0.000, 0.00%
31 32,376.0004
→0.000, 0.00%
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November, 2016
01 31,798.9998
02 31,797.0000
↗2.000, 0.01%
03 31,795.9999
↗1.000, 0.00%
04 31,795.0004
↗1.000, 0.00%
05 31,795.0004
→0.000, 0.00%
06 31,794.9998
↗0.001, 0.00%
07 31,810.0000
↘15.000, 0.05%
08 31,865.0000
↘55.000, 0.17%
09 31,863.0000
↗2.000, 0.01%
10 31,929.9998
↘67.000, 0.21%
11 31,930.0004
↘0.001, 0.00%
12 31,930.0004
→0.000, 0.00%
13 31,930.0001
↗0.000, 0.00%
14 31,999.0000
↘69.000, 0.22%
15 32,035.0004
↘36.000, 0.11%
16 32,037.0001
↘2.000, 0.01%
17 32,040.9997
↘4.000, 0.01%
18 32,040.0004
↗0.999, 0.00%
19 32,040.0004
→0.000, 0.00%
20 32,039.9996
↗0.001, 0.00%
21 32,059.0001
↘19.000, 0.06%
22 32,055.9999
↗3.000, 0.01%
23 32,069.9996
↘14.000, 0.04%
24 32,069.9998
↘0.000, 0.00%
25 32,095.0004
↘25.001, 0.08%
26 32,050.0004
↗45.000, 0.14%
27 32,094.9998
↘44.999, 0.14%
28 32,095.0002
↘0.000, 0.00%
29 32,091.0003
↗4.000, 0.01%
30 32,091.0003
↘0.000, 0.00%
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October, 2016
01 30,058.0004
02 30,058.0002
↗0.000, 0.00%
03 30,056.9998
↗1.000, 0.00%
04 30,055.0003
↗2.000, 0.01%
05 30,055.0000
↗0.000, 0.00%
06 30,055.0000
↘0.000, 0.00%
07 30,055.0004
↘0.000, 0.00%
08 30,055.0004
→0.000, 0.00%
09 30,054.9999
↗0.000, 0.00%
10 30,054.9998
↗0.000, 0.00%
11 30,054.9998
↗0.000, 0.00%
12 30,055.0003
↘0.001, 0.00%
13 30,054.9996
↗0.001, 0.00%
14 30,055.0004
↘0.001, 0.00%
15 30,055.0004
→0.000, 0.00%
16 30,055.0003
↗0.000, 0.00%
17 30,054.9999
↗0.000, 0.00%
18 31,633.0002
↘1,578.000, 5.25%
19 31,632.9998
↗0.000, 0.00%
20 31,634.0000
↘1.000, 0.00%
21 31,687.0004
↘53.000, 0.17%
22 31,687.0004
→0.000, 0.00%
23 31,687.0001
↗0.000, 0.00%
24 31,633.0000
↗54.000, 0.17%
25 31,752.9998
↘120.000, 0.38%
26 31,751.9993
↗1.000, 0.00%
27 31,751.0002
↗0.999, 0.00%
28 31,751.0004
↘0.000, 0.00%
29 31,751.0004
→0.000, 0.00%
30 31,751.0003
↗0.000, 0.00%
31 31,778.0001
↘27.000, 0.09%
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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”),30,058.000,30,058.00],[new Date(“2016-10-02”),30,058.000,30,058.00],[new Date(“2016-10-03”),30,057.000,30,057.00],[new Date(“2016-10-04”),30,055.000,30,055.00],[new Date(“2016-10-05”),30,055.000,30,055.00],[new Date(“2016-10-06”),30,055.000,30,055.00],[new Date(“2016-10-07”),30,055.000,30,055.00],[new Date(“2016-10-08”),30,055.000,30,055.00],[new Date(“2016-10-09”),30,055.000,30,055.00],[new Date(“2016-10-10”),30,055.000,30,055.00],[new Date(“2016-10-11”),30,055.000,30,055.00],[new Date(“2016-10-12”),30,055.000,30,055.00],[new Date(“2016-10-13”),30,055.000,30,055.00],[new Date(“2016-10-14”),30,055.000,30,055.00],[new Date(“2016-10-15”),30,055.000,30,055.00],[new Date(“2016-10-16”),30,055.000,30,055.00],[new Date(“2016-10-17”),30,055.000,30,055.00],[new Date(“2016-10-18”),31,633.000,31,633.00],[new Date(“2016-10-19”),31,633.000,31,633.00],[new Date(“2016-10-20”),31,634.000,31,634.00],[new Date(“2016-10-21”),31,687.000,31,687.00],[new Date(“2016-10-22”),31,687.000,31,687.00],[new Date(“2016-10-23”),31,687.000,31,687.00],[new Date(“2016-10-24”),31,633.000,31,633.00],[new Date(“2016-10-25”),31,753.000,31,753.00],[new Date(“2016-10-26”),31,751.999,31,752.00],[new Date(“2016-10-27”),31,751.000,31,751.00],[new Date(“2016-10-28”),31,751.000,31,751.00],[new Date(“2016-10-29”),31,751.000,31,751.00],[new Date(“2016-10-30”),31,751.000,31,751.00],[new Date(“2016-10-31″),31,778.000,31,778.00],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}
September, 2016
01 30,093.0001
02 30,093.0004
↘0.000, 0.00%
03 30,093.0004
→0.000, 0.00%
04 30,065.0002
↗28.000, 0.09%
05 30,064.9994
↗0.001, 0.00%
06 30,091.9998
↘27.000, 0.09%
07 30,090.0002
↗2.000, 0.01%
08 30,088.0000
↗2.000, 0.01%
09 30,087.0004
↗1.000, 0.00%
10 30,087.0004
→0.000, 0.00%
11 30,087.0002
↗0.000, 0.00%
12 30,087.0003
↘0.000, 0.00%
13 30,086.0002
↗1.000, 0.00%
14 30,085.0002
↗1.000, 0.00%
15 30,085.0004
↘0.000, 0.00%
16 30,080.0004
↗5.000, 0.02%
17 30,080.0004
→0.000, 0.00%
18 30,079.9999
↗0.000, 0.00%
19 30,078.0003
↗2.000, 0.01%
20 30,075.0002
↗3.000, 0.01%
21 30,072.0001
↗3.000, 0.01%
22 30,069.9997
↗2.000, 0.01%
23 30,069.0004
↗0.999, 0.00%
24 30,069.0004
→0.000, 0.00%
25 30,069.0003
↗0.000, 0.00%
26 30,067.9997
↗1.001, 0.00%
27 30,064.9998
↗3.000, 0.01%
28 30,062.9999
↗2.000, 0.01%
29 30,059.9997
↗3.000, 0.01%
30 30,058.0004
↗1.999, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-09-01”),30,093.000,30,093.00],[new Date(“2016-09-02”),30,093.000,30,093.00],[new Date(“2016-09-03”),30,093.000,30,093.00],[new Date(“2016-09-04”),30,065.000,30,065.00],[new Date(“2016-09-05”),30,064.999,30,065.00],[new Date(“2016-09-06”),30,092.000,30,092.00],[new Date(“2016-09-07”),30,090.000,30,090.00],[new Date(“2016-09-08”),30,088.000,30,088.00],[new Date(“2016-09-09”),30,087.000,30,087.00],[new Date(“2016-09-10”),30,087.000,30,087.00],[new Date(“2016-09-11”),30,087.000,30,087.00],[new Date(“2016-09-12”),30,087.000,30,087.00],[new Date(“2016-09-13”),30,086.000,30,086.00],[new Date(“2016-09-14”),30,085.000,30,085.00],[new Date(“2016-09-15”),30,085.000,30,085.00],[new Date(“2016-09-16”),30,080.000,30,080.00],[new Date(“2016-09-17”),30,080.000,30,080.00],[new Date(“2016-09-18”),30,080.000,30,080.00],[new Date(“2016-09-19”),30,078.000,30,078.00],[new Date(“2016-09-20”),30,075.000,30,075.00],[new Date(“2016-09-21”),30,072.000,30,072.00],[new Date(“2016-09-22”),30,070.000,30,070.00],[new Date(“2016-09-23”),30,069.000,30,069.00],[new Date(“2016-09-24”),30,069.000,30,069.00],[new Date(“2016-09-25”),30,069.000,30,069.00],[new Date(“2016-09-26”),30,068.000,30,068.00],[new Date(“2016-09-27”),30,065.000,30,065.00],[new Date(“2016-09-28”),30,063.000,30,063.00],[new Date(“2016-09-29”),30,060.000,30,060.00],[new Date(“2016-09-30″),30,058.000,30,058.00],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_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”),30,093.000,30,093.00],[new Date(“2016-09-02”),30,093.000,30,093.00],[new Date(“2016-09-03”),30,093.000,30,093.00],[new Date(“2016-09-04”),30,065.000,30,065.00],[new Date(“2016-09-05”),30,064.999,30,065.00],[new Date(“2016-09-06”),30,092.000,30,092.00],[new Date(“2016-09-07”),30,090.000,30,090.00],[new Date(“2016-09-08”),30,088.000,30,088.00],[new Date(“2016-09-09”),30,087.000,30,087.00],[new Date(“2016-09-10”),30,087.000,30,087.00],[new Date(“2016-09-11”),30,087.000,30,087.00],[new Date(“2016-09-12”),30,087.000,30,087.00],[new Date(“2016-09-13”),30,086.000,30,086.00],[new Date(“2016-09-14”),30,085.000,30,085.00],[new Date(“2016-09-15”),30,085.000,30,085.00],[new Date(“2016-09-16”),30,080.000,30,080.00],[new Date(“2016-09-17”),30,080.000,30,080.00],[new Date(“2016-09-18”),30,080.000,30,080.00],[new Date(“2016-09-19”),30,078.000,30,078.00],[new Date(“2016-09-20”),30,075.000,30,075.00],[new Date(“2016-09-21”),30,072.000,30,072.00],[new Date(“2016-09-22”),30,070.000,30,070.00],[new Date(“2016-09-23”),30,069.000,30,069.00],[new Date(“2016-09-24”),30,069.000,30,069.00],[new Date(“2016-09-25”),30,069.000,30,069.00],[new Date(“2016-09-26”),30,068.000,30,068.00],[new Date(“2016-09-27”),30,065.000,30,065.00],[new Date(“2016-09-28”),30,063.000,30,063.00],[new Date(“2016-09-29”),30,060.000,30,060.00],[new Date(“2016-09-30″),30,058.000,30,058.00],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}
August, 2016
01 30,064.9997
02 30,064.9998
↘0.000, 0.00%
03 30,063.0004
↗1.999, 0.01%
04 30,063.0003
↗0.000, 0.00%
05 30,062.0004
↗1.000, 0.00%
06 30,062.0004
→0.000, 0.00%
07 30,061.9998
↗0.001, 0.00%
08 30,059.9998
↗2.000, 0.01%
09 30,057.9999
↗2.000, 0.01%
10 30,057.0001
↗1.000, 0.00%
11 30,056.0003
↗1.000, 0.00%
12 30,055.0004
↗1.000, 0.00%
13 30,055.0004
→0.000, 0.00%
14 30,055.0000
↗0.000, 0.00%
15 30,054.0002
↗1.000, 0.00%
16 30,053.0002
↗1.000, 0.00%
17 30,051.9999
↗1.000, 0.00%
18 30,052.0000
↘0.000, 0.00%
19 30,052.0004
↘0.000, 0.00%
20 30,052.0004
→0.000, 0.00%
21 30,052.0005
↘0.000, 0.00%
22 30,051.9999
↗0.001, 0.00%
23 30,051.9997
↗0.000, 0.00%
24 30,051.9997
↘0.000, 0.00%
25 30,051.9999
↘0.000, 0.00%
26 30,052.0004
↘0.000, 0.00%
27 30,052.0004
→0.000, 0.00%
28 30,051.9997
↗0.001, 0.00%
29 30,097.0003
↘45.001, 0.15%
30 30,094.9995
↗2.001, 0.01%
31 30,095.0004
↘0.001, 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(“2016-08-01”),30,065.000,30,065.00],[new Date(“2016-08-02”),30,065.000,30,065.00],[new Date(“2016-08-03”),30,063.000,30,063.00],[new Date(“2016-08-04”),30,063.000,30,063.00],[new Date(“2016-08-05”),30,062.000,30,062.00],[new Date(“2016-08-06”),30,062.000,30,062.00],[new Date(“2016-08-07”),30,062.000,30,062.00],[new Date(“2016-08-08”),30,060.000,30,060.00],[new Date(“2016-08-09”),30,058.000,30,058.00],[new Date(“2016-08-10”),30,057.000,30,057.00],[new Date(“2016-08-11”),30,056.000,30,056.00],[new Date(“2016-08-12”),30,055.000,30,055.00],[new Date(“2016-08-13”),30,055.000,30,055.00],[new Date(“2016-08-14”),30,055.000,30,055.00],[new Date(“2016-08-15”),30,054.000,30,054.00],[new Date(“2016-08-16”),30,053.000,30,053.00],[new Date(“2016-08-17”),30,052.000,30,052.00],[new Date(“2016-08-18”),30,052.000,30,052.00],[new Date(“2016-08-19”),30,052.000,30,052.00],[new Date(“2016-08-20”),30,052.000,30,052.00],[new Date(“2016-08-21”),30,052.000,30,052.00],[new Date(“2016-08-22”),30,052.000,30,052.00],[new Date(“2016-08-23”),30,052.000,30,052.00],[new Date(“2016-08-24”),30,052.000,30,052.00],[new Date(“2016-08-25”),30,052.000,30,052.00],[new Date(“2016-08-26”),30,052.000,30,052.00],[new Date(“2016-08-27”),30,052.000,30,052.00],[new Date(“2016-08-28”),30,052.000,30,052.00],[new Date(“2016-08-29”),30,097.000,30,097.00],[new Date(“2016-08-30”),30,094.999,30,095.00],[new Date(“2016-08-31″),30,095.000,30,095.00],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_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”),30,065.000,30,065.00],[new Date(“2016-08-02”),30,065.000,30,065.00],[new Date(“2016-08-03”),30,063.000,30,063.00],[new Date(“2016-08-04”),30,063.000,30,063.00],[new Date(“2016-08-05”),30,062.000,30,062.00],[new Date(“2016-08-06”),30,062.000,30,062.00],[new Date(“2016-08-07”),30,062.000,30,062.00],[new Date(“2016-08-08”),30,060.000,30,060.00],[new Date(“2016-08-09”),30,058.000,30,058.00],[new Date(“2016-08-10”),30,057.000,30,057.00],[new Date(“2016-08-11”),30,056.000,30,056.00],[new Date(“2016-08-12”),30,055.000,30,055.00],[new Date(“2016-08-13”),30,055.000,30,055.00],[new Date(“2016-08-14”),30,055.000,30,055.00],[new Date(“2016-08-15”),30,054.000,30,054.00],[new Date(“2016-08-16”),30,053.000,30,053.00],[new Date(“2016-08-17”),30,052.000,30,052.00],[new Date(“2016-08-18”),30,052.000,30,052.00],[new Date(“2016-08-19”),30,052.000,30,052.00],[new Date(“2016-08-20”),30,052.000,30,052.00],[new Date(“2016-08-21”),30,052.000,30,052.00],[new Date(“2016-08-22”),30,052.000,30,052.00],[new Date(“2016-08-23”),30,052.000,30,052.00],[new Date(“2016-08-24”),30,052.000,30,052.00],[new Date(“2016-08-25”),30,052.000,30,052.00],[new Date(“2016-08-26”),30,052.000,30,052.00],[new Date(“2016-08-27”),30,052.000,30,052.00],[new Date(“2016-08-28”),30,052.000,30,052.00],[new Date(“2016-08-29”),30,097.000,30,097.00],[new Date(“2016-08-30”),30,094.999,30,095.00],[new Date(“2016-08-31″),30,095.000,30,095.00],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}
July, 2016
01 30,412.5000
02 30,412.5000
→0.000, 0.00%
03 30,412.5000
→0.000, 0.00%
04 30,412.5000
→0.000, 0.00%
05 30,412.5000
→0.000, 0.00%
06 30,111.5000
↗301.000, 0.99%
07 30,109.0000
↗2.500, 0.01%
08 30,105.0000
↗4.000, 0.01%
09 30,102.5000
↗2.500, 0.01%
10 30,102.5000
→0.000, 0.00%
11 30,097.5000
↗5.000, 0.02%
12 30,092.5000
↗5.000, 0.02%
13 30,092.5000
→0.000, 0.00%
14 30,091.5000
↗1.000, 0.00%
15 30,077.0004
↗14.500, 0.05%
16 30,077.0004
→0.000, 0.00%
17 30,077.0003
↗0.000, 0.00%
18 30,075.0002
↗2.000, 0.01%
19 30,073.0001
↗2.000, 0.01%
20 30,069.0002
↗4.000, 0.01%
21 30,067.0006
↗2.000, 0.01%
22 30,066.0004
↗1.000, 0.00%
23 30,066.0004
→0.000, 0.00%
24 30,065.9998
↗0.001, 0.00%
25 30,064.9999
↗1.000, 0.00%
26 30,064.9994
↗0.000, 0.00%
27 30,065.0001
↘0.001, 0.00%
28 30,064.9996
↗0.000, 0.00%
29 30,065.0004
↘0.001, 0.00%
30 30,065.0004
→0.000, 0.00%
31 30,064.9997
↗0.001, 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(“2016-07-01”),30,412.500,30,412.50],[new Date(“2016-07-02”),30,412.500,30,412.50],[new Date(“2016-07-03”),30,412.500,30,412.50],[new Date(“2016-07-04”),30,412.500,30,412.50],[new Date(“2016-07-05”),30,412.500,30,412.50],[new Date(“2016-07-06”),30,111.500,30,111.50],[new Date(“2016-07-07”),30,109.000,30,109.00],[new Date(“2016-07-08”),30,105.000,30,105.00],[new Date(“2016-07-09”),30,102.500,30,102.50],[new Date(“2016-07-10”),30,102.500,30,102.50],[new Date(“2016-07-11”),30,097.500,30,097.50],[new Date(“2016-07-12”),30,092.500,30,092.50],[new Date(“2016-07-13”),30,092.500,30,092.50],[new Date(“2016-07-14”),30,091.500,30,091.50],[new Date(“2016-07-15”),30,077.000,30,077.00],[new Date(“2016-07-16”),30,077.000,30,077.00],[new Date(“2016-07-17”),30,077.000,30,077.00],[new Date(“2016-07-18”),30,075.000,30,075.00],[new Date(“2016-07-19”),30,073.000,30,073.00],[new Date(“2016-07-20”),30,069.000,30,069.00],[new Date(“2016-07-21”),30,067.001,30,067.00],[new Date(“2016-07-22”),30,066.000,30,066.00],[new Date(“2016-07-23”),30,066.000,30,066.00],[new Date(“2016-07-24”),30,066.000,30,066.00],[new Date(“2016-07-25”),30,065.000,30,065.00],[new Date(“2016-07-26”),30,064.999,30,065.00],[new Date(“2016-07-27”),30,065.000,30,065.00],[new Date(“2016-07-28”),30,065.000,30,065.00],[new Date(“2016-07-29”),30,065.000,30,065.00],[new Date(“2016-07-30”),30,065.000,30,065.00],[new Date(“2016-07-31″),30,065.000,30,065.00],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_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”),30,412.500,30,412.50],[new Date(“2016-07-02”),30,412.500,30,412.50],[new Date(“2016-07-03”),30,412.500,30,412.50],[new Date(“2016-07-04”),30,412.500,30,412.50],[new Date(“2016-07-05”),30,412.500,30,412.50],[new Date(“2016-07-06”),30,111.500,30,111.50],[new Date(“2016-07-07”),30,109.000,30,109.00],[new Date(“2016-07-08”),30,105.000,30,105.00],[new Date(“2016-07-09”),30,102.500,30,102.50],[new Date(“2016-07-10”),30,102.500,30,102.50],[new Date(“2016-07-11”),30,097.500,30,097.50],[new Date(“2016-07-12”),30,092.500,30,092.50],[new Date(“2016-07-13”),30,092.500,30,092.50],[new Date(“2016-07-14”),30,091.500,30,091.50],[new Date(“2016-07-15”),30,077.000,30,077.00],[new Date(“2016-07-16”),30,077.000,30,077.00],[new Date(“2016-07-17”),30,077.000,30,077.00],[new Date(“2016-07-18”),30,075.000,30,075.00],[new Date(“2016-07-19”),30,073.000,30,073.00],[new Date(“2016-07-20”),30,069.000,30,069.00],[new Date(“2016-07-21”),30,067.001,30,067.00],[new Date(“2016-07-22”),30,066.000,30,066.00],[new Date(“2016-07-23”),30,066.000,30,066.00],[new Date(“2016-07-24”),30,066.000,30,066.00],[new Date(“2016-07-25”),30,065.000,30,065.00],[new Date(“2016-07-26”),30,064.999,30,065.00],[new Date(“2016-07-27”),30,065.000,30,065.00],[new Date(“2016-07-28”),30,065.000,30,065.00],[new Date(“2016-07-29”),30,065.000,30,065.00],[new Date(“2016-07-30”),30,065.000,30,065.00],[new Date(“2016-07-31″),30,065.000,30,065.00],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}
June, 2016
01 30,308.5000
02 30,307.5000
↗1.000, 0.00%
03 30,314.5000
↘7.000, 0.02%
04 30,314.5000
→0.000, 0.00%
05 30,314.5000
→0.000, 0.00%
06 30,314.5000
→0.000, 0.00%
07 30,317.5000
↘3.000, 0.01%
08 30,315.5000
↗2.000, 0.01%
09 30,314.0000
↗1.500, 0.00%
10 30,313.5000
↗0.500, 0.00%
11 30,313.5000
→0.000, 0.00%
12 30,313.5000
→0.000, 0.00%
13 30,321.0000
↘7.500, 0.02%
14 30,325.5000
↘4.500, 0.01%
15 30,324.0000
↗1.500, 0.00%
16 30,333.5000
↘9.500, 0.03%
17 30,333.0000
↗0.500, 0.00%
18 30,332.0000
↗1.000, 0.00%
19 30,332.0000
→0.000, 0.00%
20 30,331.5000
↗0.500, 0.00%
21 30,331.5000
→0.000, 0.00%
22 30,342.5000
↘11.000, 0.04%
23 30,362.0000
↘19.500, 0.06%
24 30,362.0000
→0.000, 0.00%
25 30,361.0000
↗1.000, 0.00%
26 30,361.0000
→0.000, 0.00%
27 30,386.5000
↘25.500, 0.08%
28 30,405.0000
↘18.500, 0.06%
29 30,404.0000
↗1.000, 0.00%
30 30,112.5000
↗291.500, 0.96%
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”),30,308.500,30,308.50],[new Date(“2016-06-02”),30,307.500,30,307.50],[new Date(“2016-06-03”),30,314.500,30,314.50],[new Date(“2016-06-04”),30,314.500,30,314.50],[new Date(“2016-06-05”),30,314.500,30,314.50],[new Date(“2016-06-06”),30,314.500,30,314.50],[new Date(“2016-06-07”),30,317.500,30,317.50],[new Date(“2016-06-08”),30,315.500,30,315.50],[new Date(“2016-06-09”),30,314.000,30,314.00],[new Date(“2016-06-10”),30,313.500,30,313.50],[new Date(“2016-06-11”),30,313.500,30,313.50],[new Date(“2016-06-12”),30,313.500,30,313.50],[new Date(“2016-06-13”),30,321.000,30,321.00],[new Date(“2016-06-14”),30,325.500,30,325.50],[new Date(“2016-06-15”),30,324.000,30,324.00],[new Date(“2016-06-16”),30,333.500,30,333.50],[new Date(“2016-06-17”),30,333.000,30,333.00],[new Date(“2016-06-18”),30,332.000,30,332.00],[new Date(“2016-06-19”),30,332.000,30,332.00],[new Date(“2016-06-20”),30,331.500,30,331.50],[new Date(“2016-06-21”),30,331.500,30,331.50],[new Date(“2016-06-22”),30,342.500,30,342.50],[new Date(“2016-06-23”),30,362.000,30,362.00],[new Date(“2016-06-24”),30,362.000,30,362.00],[new Date(“2016-06-25”),30,361.000,30,361.00],[new Date(“2016-06-26”),30,361.000,30,361.00],[new Date(“2016-06-27”),30,386.500,30,386.50],[new Date(“2016-06-28”),30,405.000,30,405.00],[new Date(“2016-06-29”),30,404.000,30,404.00],[new Date(“2016-06-30″),30,112.500,30,112.50],]);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_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”),30,308.500,30,308.50],[new Date(“2016-06-02”),30,307.500,30,307.50],[new Date(“2016-06-03”),30,314.500,30,314.50],[new Date(“2016-06-04”),30,314.500,30,314.50],[new Date(“2016-06-05”),30,314.500,30,314.50],[new Date(“2016-06-06”),30,314.500,30,314.50],[new Date(“2016-06-07”),30,317.500,30,317.50],[new Date(“2016-06-08”),30,315.500,30,315.50],[new Date(“2016-06-09”),30,314.000,30,314.00],[new Date(“2016-06-10”),30,313.500,30,313.50],[new Date(“2016-06-11”),30,313.500,30,313.50],[new Date(“2016-06-12”),30,313.500,30,313.50],[new Date(“2016-06-13”),30,321.000,30,321.00],[new Date(“2016-06-14”),30,325.500,30,325.50],[new Date(“2016-06-15”),30,324.000,30,324.00],[new Date(“2016-06-16”),30,333.500,30,333.50],[new Date(“2016-06-17”),30,333.000,30,333.00],[new Date(“2016-06-18”),30,332.000,30,332.00],[new Date(“2016-06-19”),30,332.000,30,332.00],[new Date(“2016-06-20”),30,331.500,30,331.50],[new Date(“2016-06-21”),30,331.500,30,331.50],[new Date(“2016-06-22”),30,342.500,30,342.50],[new Date(“2016-06-23”),30,362.000,30,362.00],[new Date(“2016-06-24”),30,362.000,30,362.00],[new Date(“2016-06-25”),30,361.000,30,361.00],[new Date(“2016-06-26”),30,361.000,30,361.00],[new Date(“2016-06-27”),30,386.500,30,386.50],[new Date(“2016-06-28”),30,405.000,30,405.00],[new Date(“2016-06-29”),30,404.000,30,404.00],[new Date(“2016-06-30″),30,112.500,30,112.50],]);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_6’));
chart.draw(data, options);
}
May, 2016
01 30,251.5000
02 30,251.5000
→0.000, 0.00%
03 30,256.5000
↘5.000, 0.02%
04 30,261.0000
↘4.500, 0.01%
05 30,258.5000
↗2.500, 0.01%
06 30,257.5000
↗1.000, 0.00%
07 30,256.0000
↗1.500, 0.00%
08 30,256.0000
→0.000, 0.00%
09 30,259.0000
↘3.000, 0.01%
10 30,263.0000
↘4.000, 0.01%
11 30,265.0000
↘2.000, 0.01%
12 30,264.5000
↗0.500, 0.00%
13 30,265.5000
↘1.000, 0.00%
14 30,265.0000
↗0.500, 0.00%
15 30,265.0000
→0.000, 0.00%
16 30,268.5000
↘3.500, 0.01%
17 30,270.5000
↘2.000, 0.01%
18 30,273.5000
↘3.000, 0.01%
19 30,273.5000
→0.000, 0.00%
20 30,271.0000
↗2.500, 0.01%
21 30,270.5000
↗0.500, 0.00%
22 30,270.5000
→0.000, 0.00%
23 30,274.0000
↘3.500, 0.01%
24 30,283.0000
↘9.000, 0.03%
25 30,294.0000
↘11.000, 0.04%
26 30,306.0000
↘12.000, 0.04%
27 30,304.5000
↗1.500, 0.00%
28 30,304.5000
→0.000, 0.00%
29 30,304.5000
→0.000, 0.00%
30 30,311.5000
↘7.000, 0.02%
31 30,309.0000
↗2.500, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),30,251.500,30,251.50],[new Date(“2016-05-02”),30,251.500,30,251.50],[new Date(“2016-05-03”),30,256.500,30,256.50],[new Date(“2016-05-04”),30,261.000,30,261.00],[new Date(“2016-05-05”),30,258.500,30,258.50],[new Date(“2016-05-06”),30,257.500,30,257.50],[new Date(“2016-05-07”),30,256.000,30,256.00],[new Date(“2016-05-08”),30,256.000,30,256.00],[new Date(“2016-05-09”),30,259.000,30,259.00],[new Date(“2016-05-10”),30,263.000,30,263.00],[new Date(“2016-05-11”),30,265.000,30,265.00],[new Date(“2016-05-12”),30,264.500,30,264.50],[new Date(“2016-05-13”),30,265.500,30,265.50],[new Date(“2016-05-14”),30,265.000,30,265.00],[new Date(“2016-05-15”),30,265.000,30,265.00],[new Date(“2016-05-16”),30,268.500,30,268.50],[new Date(“2016-05-17”),30,270.500,30,270.50],[new Date(“2016-05-18”),30,273.500,30,273.50],[new Date(“2016-05-19”),30,273.500,30,273.50],[new Date(“2016-05-20”),30,271.000,30,271.00],[new Date(“2016-05-21”),30,270.500,30,270.50],[new Date(“2016-05-22”),30,270.500,30,270.50],[new Date(“2016-05-23”),30,274.000,30,274.00],[new Date(“2016-05-24”),30,283.000,30,283.00],[new Date(“2016-05-25”),30,294.000,30,294.00],[new Date(“2016-05-26”),30,306.000,30,306.00],[new Date(“2016-05-27”),30,304.500,30,304.50],[new Date(“2016-05-28”),30,304.500,30,304.50],[new Date(“2016-05-29”),30,304.500,30,304.50],[new Date(“2016-05-30”),30,311.500,30,311.50],[new Date(“2016-05-31″),30,309.000,30,309.00],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
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(“2016-05-01”),30,251.500,30,251.50],[new Date(“2016-05-02”),30,251.500,30,251.50],[new Date(“2016-05-03”),30,256.500,30,256.50],[new Date(“2016-05-04”),30,261.000,30,261.00],[new Date(“2016-05-05”),30,258.500,30,258.50],[new Date(“2016-05-06”),30,257.500,30,257.50],[new Date(“2016-05-07”),30,256.000,30,256.00],[new Date(“2016-05-08”),30,256.000,30,256.00],[new Date(“2016-05-09”),30,259.000,30,259.00],[new Date(“2016-05-10”),30,263.000,30,263.00],[new Date(“2016-05-11”),30,265.000,30,265.00],[new Date(“2016-05-12”),30,264.500,30,264.50],[new Date(“2016-05-13”),30,265.500,30,265.50],[new Date(“2016-05-14”),30,265.000,30,265.00],[new Date(“2016-05-15”),30,265.000,30,265.00],[new Date(“2016-05-16”),30,268.500,30,268.50],[new Date(“2016-05-17”),30,270.500,30,270.50],[new Date(“2016-05-18”),30,273.500,30,273.50],[new Date(“2016-05-19”),30,273.500,30,273.50],[new Date(“2016-05-20”),30,271.000,30,271.00],[new Date(“2016-05-21”),30,270.500,30,270.50],[new Date(“2016-05-22”),30,270.500,30,270.50],[new Date(“2016-05-23”),30,274.000,30,274.00],[new Date(“2016-05-24”),30,283.000,30,283.00],[new Date(“2016-05-25”),30,294.000,30,294.00],[new Date(“2016-05-26”),30,306.000,30,306.00],[new Date(“2016-05-27”),30,304.500,30,304.50],[new Date(“2016-05-28”),30,304.500,30,304.50],[new Date(“2016-05-29”),30,304.500,30,304.50],[new Date(“2016-05-30”),30,311.500,30,311.50],[new Date(“2016-05-31″),30,309.000,30,309.00],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}
April, 2016
01 30,223.5000
02 30,222.5000
↗1.000, 0.00%
03 30,222.5000
→0.000, 0.00%
04 30,227.0000
↘4.500, 0.01%
05 30,224.5000
↗2.500, 0.01%
06 30,227.5000
↘3.000, 0.01%
07 30,235.5000
↘8.000, 0.03%
08 30,234.5000
↗1.000, 0.00%
09 30,233.5000
↗1.000, 0.00%
10 30,233.5000
→0.000, 0.00%
11 30,235.0000
↘1.500, 0.00%
12 30,235.0000
→0.000, 0.00%
13 30,233.0000
↗2.000, 0.01%
14 30,242.5000
↘9.500, 0.03%
15 30,241.5000
↗1.000, 0.00%
16 30,240.0000
↗1.500, 0.00%
17 30,240.0000
→0.000, 0.00%
18 30,241.5000
↘1.500, 0.00%
19 30,241.5000
→0.000, 0.00%
20 30,242.0000
↘0.500, 0.00%
21 30,240.5000
↗1.500, 0.00%
22 30,240.5000
→0.000, 0.00%
23 30,240.5000
→0.000, 0.00%
24 30,240.5000
→0.000, 0.00%
25 30,243.0000
↘2.500, 0.01%
26 30,243.0000
→0.000, 0.00%
27 30,246.0000
↘3.000, 0.01%
28 30,252.5000
↘6.500, 0.02%
29 30,252.5000
→0.000, 0.00%
30 30,251.5000
↗1.000, 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(“2016-04-01”),30,223.500,30,223.50],[new Date(“2016-04-02”),30,222.500,30,222.50],[new Date(“2016-04-03”),30,222.500,30,222.50],[new Date(“2016-04-04”),30,227.000,30,227.00],[new Date(“2016-04-05”),30,224.500,30,224.50],[new Date(“2016-04-06”),30,227.500,30,227.50],[new Date(“2016-04-07”),30,235.500,30,235.50],[new Date(“2016-04-08”),30,234.500,30,234.50],[new Date(“2016-04-09”),30,233.500,30,233.50],[new Date(“2016-04-10”),30,233.500,30,233.50],[new Date(“2016-04-11”),30,235.000,30,235.00],[new Date(“2016-04-12”),30,235.000,30,235.00],[new Date(“2016-04-13”),30,233.000,30,233.00],[new Date(“2016-04-14”),30,242.500,30,242.50],[new Date(“2016-04-15”),30,241.500,30,241.50],[new Date(“2016-04-16”),30,240.000,30,240.00],[new Date(“2016-04-17”),30,240.000,30,240.00],[new Date(“2016-04-18”),30,241.500,30,241.50],[new Date(“2016-04-19”),30,241.500,30,241.50],[new Date(“2016-04-20”),30,242.000,30,242.00],[new Date(“2016-04-21”),30,240.500,30,240.50],[new Date(“2016-04-22”),30,240.500,30,240.50],[new Date(“2016-04-23”),30,240.500,30,240.50],[new Date(“2016-04-24”),30,240.500,30,240.50],[new Date(“2016-04-25”),30,243.000,30,243.00],[new Date(“2016-04-26”),30,243.000,30,243.00],[new Date(“2016-04-27”),30,246.000,30,246.00],[new Date(“2016-04-28”),30,252.500,30,252.50],[new Date(“2016-04-29”),30,252.500,30,252.50],[new Date(“2016-04-30″),30,251.500,30,251.50],]);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_4’));
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(“2016-04-01”),30,223.500,30,223.50],[new Date(“2016-04-02”),30,222.500,30,222.50],[new Date(“2016-04-03”),30,222.500,30,222.50],[new Date(“2016-04-04”),30,227.000,30,227.00],[new Date(“2016-04-05”),30,224.500,30,224.50],[new Date(“2016-04-06”),30,227.500,30,227.50],[new Date(“2016-04-07”),30,235.500,30,235.50],[new Date(“2016-04-08”),30,234.500,30,234.50],[new Date(“2016-04-09”),30,233.500,30,233.50],[new Date(“2016-04-10”),30,233.500,30,233.50],[new Date(“2016-04-11”),30,235.000,30,235.00],[new Date(“2016-04-12”),30,235.000,30,235.00],[new Date(“2016-04-13”),30,233.000,30,233.00],[new Date(“2016-04-14”),30,242.500,30,242.50],[new Date(“2016-04-15”),30,241.500,30,241.50],[new Date(“2016-04-16”),30,240.000,30,240.00],[new Date(“2016-04-17”),30,240.000,30,240.00],[new Date(“2016-04-18”),30,241.500,30,241.50],[new Date(“2016-04-19”),30,241.500,30,241.50],[new Date(“2016-04-20”),30,242.000,30,242.00],[new Date(“2016-04-21”),30,240.500,30,240.50],[new Date(“2016-04-22”),30,240.500,30,240.50],[new Date(“2016-04-23”),30,240.500,30,240.50],[new Date(“2016-04-24”),30,240.500,30,240.50],[new Date(“2016-04-25”),30,243.000,30,243.00],[new Date(“2016-04-26”),30,243.000,30,243.00],[new Date(“2016-04-27”),30,246.000,30,246.00],[new Date(“2016-04-28”),30,252.500,30,252.50],[new Date(“2016-04-29”),30,252.500,30,252.50],[new Date(“2016-04-30″),30,251.500,30,251.50],]);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_4’));
chart.draw(data, options);
}
March, 2016
01 30,207.5000
02 30,211.0000
↘3.500, 0.01%
03 30,210.5000
↗0.500, 0.00%
04 30,210.5000
→0.000, 0.00%
05 30,210.5000
→0.000, 0.00%
06 30,210.5000
→0.000, 0.00%
07 30,210.5000
→0.000, 0.00%
08 30,210.5000
→0.000, 0.00%
09 30,210.5000
→0.000, 0.00%
10 30,216.0000
↘5.500, 0.02%
11 30,203.5000
↗12.500, 0.04%
12 30,203.5000
→0.000, 0.00%
13 30,203.5000
→0.000, 0.00%
14 30,207.5000
↘4.000, 0.01%
15 30,207.5000
→0.000, 0.00%
16 30,206.5000
↗1.000, 0.00%
17 30,247.5000
↘41.000, 0.14%
18 30,252.5000
↘5.000, 0.02%
19 30,252.5000
→0.000, 0.00%
20 30,252.5000
→0.000, 0.00%
21 30,252.5000
→0.000, 0.00%
22 30,252.5000
→0.000, 0.00%
23 30,218.5000
↗34.000, 0.11%
24 30,221.0000
↘2.500, 0.01%
25 30,219.0000
↗2.000, 0.01%
26 30,219.0000
→0.000, 0.00%
27 30,219.0000
→0.000, 0.00%
28 30,221.5000
↘2.500, 0.01%
29 30,262.5000
↘41.000, 0.14%
30 30,265.5000
↘3.000, 0.01%
31 30,225.0000
↗40.500, 0.13%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-03-01”),30,207.500,30,207.50],[new Date(“2016-03-02”),30,211.000,30,211.00],[new Date(“2016-03-03”),30,210.500,30,210.50],[new Date(“2016-03-04”),30,210.500,30,210.50],[new Date(“2016-03-05”),30,210.500,30,210.50],[new Date(“2016-03-06”),30,210.500,30,210.50],[new Date(“2016-03-07”),30,210.500,30,210.50],[new Date(“2016-03-08”),30,210.500,30,210.50],[new Date(“2016-03-09”),30,210.500,30,210.50],[new Date(“2016-03-10”),30,216.000,30,216.00],[new Date(“2016-03-11”),30,203.500,30,203.50],[new Date(“2016-03-12”),30,203.500,30,203.50],[new Date(“2016-03-13”),30,203.500,30,203.50],[new Date(“2016-03-14”),30,207.500,30,207.50],[new Date(“2016-03-15”),30,207.500,30,207.50],[new Date(“2016-03-16”),30,206.500,30,206.50],[new Date(“2016-03-17”),30,247.500,30,247.50],[new Date(“2016-03-18”),30,252.500,30,252.50],[new Date(“2016-03-19”),30,252.500,30,252.50],[new Date(“2016-03-20”),30,252.500,30,252.50],[new Date(“2016-03-21”),30,252.500,30,252.50],[new Date(“2016-03-22”),30,252.500,30,252.50],[new Date(“2016-03-23”),30,218.500,30,218.50],[new Date(“2016-03-24”),30,221.000,30,221.00],[new Date(“2016-03-25”),30,219.000,30,219.00],[new Date(“2016-03-26”),30,219.000,30,219.00],[new Date(“2016-03-27”),30,219.000,30,219.00],[new Date(“2016-03-28”),30,221.500,30,221.50],[new Date(“2016-03-29”),30,262.500,30,262.50],[new Date(“2016-03-30”),30,265.500,30,265.50],[new Date(“2016-03-31″),30,225.000,30,225.00],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
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(“2016-03-01”),30,207.500,30,207.50],[new Date(“2016-03-02”),30,211.000,30,211.00],[new Date(“2016-03-03”),30,210.500,30,210.50],[new Date(“2016-03-04”),30,210.500,30,210.50],[new Date(“2016-03-05”),30,210.500,30,210.50],[new Date(“2016-03-06”),30,210.500,30,210.50],[new Date(“2016-03-07”),30,210.500,30,210.50],[new Date(“2016-03-08”),30,210.500,30,210.50],[new Date(“2016-03-09”),30,210.500,30,210.50],[new Date(“2016-03-10”),30,216.000,30,216.00],[new Date(“2016-03-11”),30,203.500,30,203.50],[new Date(“2016-03-12”),30,203.500,30,203.50],[new Date(“2016-03-13”),30,203.500,30,203.50],[new Date(“2016-03-14”),30,207.500,30,207.50],[new Date(“2016-03-15”),30,207.500,30,207.50],[new Date(“2016-03-16”),30,206.500,30,206.50],[new Date(“2016-03-17”),30,247.500,30,247.50],[new Date(“2016-03-18”),30,252.500,30,252.50],[new Date(“2016-03-19”),30,252.500,30,252.50],[new Date(“2016-03-20”),30,252.500,30,252.50],[new Date(“2016-03-21”),30,252.500,30,252.50],[new Date(“2016-03-22”),30,252.500,30,252.50],[new Date(“2016-03-23”),30,218.500,30,218.50],[new Date(“2016-03-24”),30,221.000,30,221.00],[new Date(“2016-03-25”),30,219.000,30,219.00],[new Date(“2016-03-26”),30,219.000,30,219.00],[new Date(“2016-03-27”),30,219.000,30,219.00],[new Date(“2016-03-28”),30,221.500,30,221.50],[new Date(“2016-03-29”),30,262.500,30,262.50],[new Date(“2016-03-30”),30,265.500,30,265.50],[new Date(“2016-03-31″),30,225.000,30,225.00],]);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_3’));
chart.draw(data, options);
}
February, 2016
01 29,990.0000
02 29,988.5000
↗1.500, 0.01%
03 29,988.5000
→0.000, 0.00%
04 30,193.0000
↘204.500, 0.68%
05 30,193.0000
→0.000, 0.00%
06 30,192.0000
↗1.000, 0.00%
07 30,191.5000
↗0.500, 0.00%
08 30,191.5000
→0.000, 0.00%
09 30,192.5000
↘1.000, 0.00%
10 30,192.0000
↗0.500, 0.00%
11 30,191.0000
↗1.000, 0.00%
12 30,191.0000
→0.000, 0.00%
13 30,191.0000
→0.000, 0.00%
14 30,190.5000
↗0.500, 0.00%
15 30,191.0000
↘0.500, 0.00%
16 30,187.5000
↗3.500, 0.01%
17 30,197.0000
↘9.500, 0.03%
18 30,187.0000
↗10.000, 0.03%
19 30,198.0000
↘11.000, 0.04%
20 30,195.5000
↗2.500, 0.01%
21 30,195.5000
→0.000, 0.00%
22 30,197.0000
↘1.500, 0.00%
23 30,198.0000
↘1.000, 0.00%
24 30,204.0000
↘6.000, 0.02%
25 30,204.0000
→0.000, 0.00%
26 30,203.5000
↗0.500, 0.00%
27 30,203.5000
→0.000, 0.00%
28 30,202.0000
↗1.500, 0.00%
29 30,203.5000
↘1.500, 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(“2016-02-01”),29,990.000,29,990.00],[new Date(“2016-02-02”),29,988.500,29,988.50],[new Date(“2016-02-03”),29,988.500,29,988.50],[new Date(“2016-02-04”),30,193.000,30,193.00],[new Date(“2016-02-05”),30,193.000,30,193.00],[new Date(“2016-02-06”),30,192.000,30,192.00],[new Date(“2016-02-07”),30,191.500,30,191.50],[new Date(“2016-02-08”),30,191.500,30,191.50],[new Date(“2016-02-09”),30,192.500,30,192.50],[new Date(“2016-02-10”),30,192.000,30,192.00],[new Date(“2016-02-11”),30,191.000,30,191.00],[new Date(“2016-02-12”),30,191.000,30,191.00],[new Date(“2016-02-13”),30,191.000,30,191.00],[new Date(“2016-02-14”),30,190.500,30,190.50],[new Date(“2016-02-15”),30,191.000,30,191.00],[new Date(“2016-02-16”),30,187.500,30,187.50],[new Date(“2016-02-17”),30,197.000,30,197.00],[new Date(“2016-02-18”),30,187.000,30,187.00],[new Date(“2016-02-19”),30,198.000,30,198.00],[new Date(“2016-02-20”),30,195.500,30,195.50],[new Date(“2016-02-21”),30,195.500,30,195.50],[new Date(“2016-02-22”),30,197.000,30,197.00],[new Date(“2016-02-23”),30,198.000,30,198.00],[new Date(“2016-02-24”),30,204.000,30,204.00],[new Date(“2016-02-25”),30,204.000,30,204.00],[new Date(“2016-02-26”),30,203.500,30,203.50],[new Date(“2016-02-27”),30,203.500,30,203.50],[new Date(“2016-02-28”),30,202.000,30,202.00],[new Date(“2016-02-29″),30,203.500,30,203.50],]);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_2’));
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(“2016-02-01”),29,990.000,29,990.00],[new Date(“2016-02-02”),29,988.500,29,988.50],[new Date(“2016-02-03”),29,988.500,29,988.50],[new Date(“2016-02-04”),30,193.000,30,193.00],[new Date(“2016-02-05”),30,193.000,30,193.00],[new Date(“2016-02-06”),30,192.000,30,192.00],[new Date(“2016-02-07”),30,191.500,30,191.50],[new Date(“2016-02-08”),30,191.500,30,191.50],[new Date(“2016-02-09”),30,192.500,30,192.50],[new Date(“2016-02-10”),30,192.000,30,192.00],[new Date(“2016-02-11”),30,191.000,30,191.00],[new Date(“2016-02-12”),30,191.000,30,191.00],[new Date(“2016-02-13”),30,191.000,30,191.00],[new Date(“2016-02-14”),30,190.500,30,190.50],[new Date(“2016-02-15”),30,191.000,30,191.00],[new Date(“2016-02-16”),30,187.500,30,187.50],[new Date(“2016-02-17”),30,197.000,30,197.00],[new Date(“2016-02-18”),30,187.000,30,187.00],[new Date(“2016-02-19”),30,198.000,30,198.00],[new Date(“2016-02-20”),30,195.500,30,195.50],[new Date(“2016-02-21”),30,195.500,30,195.50],[new Date(“2016-02-22”),30,197.000,30,197.00],[new Date(“2016-02-23”),30,198.000,30,198.00],[new Date(“2016-02-24”),30,204.000,30,204.00],[new Date(“2016-02-25”),30,204.000,30,204.00],[new Date(“2016-02-26”),30,203.500,30,203.50],[new Date(“2016-02-27”),30,203.500,30,203.50],[new Date(“2016-02-28”),30,202.000,30,202.00],[new Date(“2016-02-29″),30,203.500,30,203.50],]);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_2’));
chart.draw(data, options);
}
January, 2016
01 29,991.5000
02 29,992.5000
↘1.000, 0.00%
03 29,992.5000
→0.000, 0.00%
04 29,998.0000
↘5.500, 0.02%
05 29,998.0000
→0.000, 0.00%
06 30,007.0000
↘9.000, 0.03%
07 30,007.0000
→0.000, 0.00%
08 30,006.5000
↗0.500, 0.00%
09 30,006.5000
→0.000, 0.00%
10 30,001.5000
↗5.000, 0.02%
11 30,005.0000
↘3.500, 0.01%
12 30,005.0000
→0.000, 0.00%
13 30,012.5000
↘7.500, 0.02%
14 30,012.5000
→0.000, 0.00%
15 30,012.0000
↗0.500, 0.00%
16 30,012.0000
→0.000, 0.00%
17 29,997.0000
↗15.000, 0.05%
18 29,996.5000
↗0.500, 0.00%
19 29,999.0000
↘2.500, 0.01%
20 29,999.0000
→0.000, 0.00%
21 29,998.0000
↗1.000, 0.00%
22 30,000.0000
↘2.000, 0.01%
23 30,000.0000
→0.000, 0.00%
24 29,997.5000
↗2.500, 0.01%
25 29,999.5000
↘2.000, 0.01%
26 29,997.5000
↗2.000, 0.01%
27 29,997.5000
→0.000, 0.00%
28 29,996.5000
↗1.000, 0.00%
29 29,996.5000
→0.000, 0.00%
30 29,996.5000
→0.000, 0.00%
31 29,989.0000
↗7.500, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-01-01”),29,991.500,29,991.50],[new Date(“2016-01-02”),29,992.500,29,992.50],[new Date(“2016-01-03”),29,992.500,29,992.50],[new Date(“2016-01-04”),29,998.000,29,998.00],[new Date(“2016-01-05”),29,998.000,29,998.00],[new Date(“2016-01-06”),30,007.000,30,007.00],[new Date(“2016-01-07”),30,007.000,30,007.00],[new Date(“2016-01-08”),30,006.500,30,006.50],[new Date(“2016-01-09”),30,006.500,30,006.50],[new Date(“2016-01-10”),30,001.500,30,001.50],[new Date(“2016-01-11”),30,005.000,30,005.00],[new Date(“2016-01-12”),30,005.000,30,005.00],[new Date(“2016-01-13”),30,012.500,30,012.50],[new Date(“2016-01-14”),30,012.500,30,012.50],[new Date(“2016-01-15”),30,012.000,30,012.00],[new Date(“2016-01-16”),30,012.000,30,012.00],[new Date(“2016-01-17”),29,997.000,29,997.00],[new Date(“2016-01-18”),29,996.500,29,996.50],[new Date(“2016-01-19”),29,999.000,29,999.00],[new Date(“2016-01-20”),29,999.000,29,999.00],[new Date(“2016-01-21”),29,998.000,29,998.00],[new Date(“2016-01-22”),30,000.000,30,000.00],[new Date(“2016-01-23”),30,000.000,30,000.00],[new Date(“2016-01-24”),29,997.500,29,997.50],[new Date(“2016-01-25”),29,999.500,29,999.50],[new Date(“2016-01-26”),29,997.500,29,997.50],[new Date(“2016-01-27”),29,997.500,29,997.50],[new Date(“2016-01-28”),29,996.500,29,996.50],[new Date(“2016-01-29”),29,996.500,29,996.50],[new Date(“2016-01-30”),29,996.500,29,996.50],[new Date(“2016-01-31″),29,989.000,29,989.00],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
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(“2016-01-01”),29,991.500,29,991.50],[new Date(“2016-01-02”),29,992.500,29,992.50],[new Date(“2016-01-03”),29,992.500,29,992.50],[new Date(“2016-01-04”),29,998.000,29,998.00],[new Date(“2016-01-05”),29,998.000,29,998.00],[new Date(“2016-01-06”),30,007.000,30,007.00],[new Date(“2016-01-07”),30,007.000,30,007.00],[new Date(“2016-01-08”),30,006.500,30,006.50],[new Date(“2016-01-09”),30,006.500,30,006.50],[new Date(“2016-01-10”),30,001.500,30,001.50],[new Date(“2016-01-11”),30,005.000,30,005.00],[new Date(“2016-01-12”),30,005.000,30,005.00],[new Date(“2016-01-13”),30,012.500,30,012.50],[new Date(“2016-01-14”),30,012.500,30,012.50],[new Date(“2016-01-15”),30,012.000,30,012.00],[new Date(“2016-01-16”),30,012.000,30,012.00],[new Date(“2016-01-17”),29,997.000,29,997.00],[new Date(“2016-01-18”),29,996.500,29,996.50],[new Date(“2016-01-19”),29,999.000,29,999.00],[new Date(“2016-01-20”),29,999.000,29,999.00],[new Date(“2016-01-21”),29,998.000,29,998.00],[new Date(“2016-01-22”),30,000.000,30,000.00],[new Date(“2016-01-23”),30,000.000,30,000.00],[new Date(“2016-01-24”),29,997.500,29,997.50],[new Date(“2016-01-25”),29,999.500,29,999.50],[new Date(“2016-01-26”),29,997.500,29,997.50],[new Date(“2016-01-27”),29,997.500,29,997.50],[new Date(“2016-01-28”),29,996.500,29,996.50],[new Date(“2016-01-29”),29,996.500,29,996.50],[new Date(“2016-01-30”),29,996.500,29,996.50],[new Date(“2016-01-31″),29,989.000,29,989.00],]);var options = {
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}