Tanzanian Shilling TZS 2016 Conversion Rates

  • Opening Value is 2159.234984 TZS per Dollar
  • Closing Value is 2174.000336 TZS per Dollar
  • Change in Value during 2016 is 14.7654 which is 0.68%
  • Best Performance is on 2016-01-03 with 2159.033366 TZS per Dollar
  • Lowest Performance is on 2016-04-26 with 2202.250033 TZS per Dollar
  • Average Value is 2,183.2268 TZS per Dollar
  • Swing Between the higest and the lowest is 43.2167 per Dollar, that is 2.00% compared to the opening value.

USD to TZS Conversion Rates – 12 months

Date 1 USD =
2016-12-31 2,174.0003 TZS
2016-11-30 2,175.0003 TZS
2016-10-31 2,179.9996 TZS
2016-09-30 2,175.0003 TZS
2016-08-31 2,181.0002 TZS
2016-07-31 2,184.0002 TZS
2016-06-30 2,192.0250 TZS
2016-05-31 2,192.7600 TZS
2016-04-30 2,187.7667 TZS
2016-03-31 2,186.1817 TZS
2016-02-29 2,188.7667 TZS
2016-01-31 2,198.2167 TZS
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”),2,174.000,2,174.00],[new Date(“2016-11-30”),2,175.000,2,175.00],[new Date(“2016-10-31”),2,180.000,2,180.00],[new Date(“2016-09-30”),2,175.000,2,175.00],[new Date(“2016-08-31”),2,181.000,2,181.00],[new Date(“2016-07-31”),2,184.000,2,184.00],[new Date(“2016-06-30”),2,192.025,2,192.03],[new Date(“2016-05-31”),2,192.760,2,192.76],[new Date(“2016-04-30”),2,187.767,2,187.77],[new Date(“2016-03-31”),2,186.182,2,186.18],[new Date(“2016-02-29”),2,188.767,2,188.77],[new Date(“2016-01-31”),2,198.217,2,198.22],]);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, 2016

01      2,173.9999
02      2,175.0003
↘1.000, 0.05%
03      2,175.0003
→0.000, 0.00%
04      2,175.0001
↗0.000, 0.00%
05      2,173.9995
↗1.001, 0.05%
06      2,174.0003
↘0.001, 0.00%
07      2,174.9998
↘0.999, 0.05%
08      2,175.0000
↘0.000, 0.00%
09      2,173.0003
↗2.000, 0.09%
10      2,173.0003
→0.000, 0.00%
11      2,173.0004
↘0.000, 0.00%
12      2,173.0000
↗0.000, 0.00%
13      2,173.0004
↘0.000, 0.00%
14      2,170.9999
↗2.000, 0.09%
15      2,175.0001
↘4.000, 0.18%
16      2,172.0003
↗3.000, 0.14%
17      2,172.0003
→0.000, 0.00%
18      2,170.9999
↗1.000, 0.05%
19      2,171.0004
↘0.000, 0.00%
20      2,171.0004
↘0.000, 0.00%
21      2,171.0000
↗0.000, 0.00%
22      2,170.9999
↗0.000, 0.00%
23      2,171.0003
↘0.000, 0.00%
24      2,171.0003
→0.000, 0.00%
25      2,170.9999
↗0.000, 0.00%
26      2,171.0001
↘0.000, 0.00%
27      2,171.0000
↗0.000, 0.00%
28      2,170.9998
↗0.000, 0.00%
29      2,171.0001
↘0.000, 0.00%
30      2,174.0003
↘3.000, 0.14%
31      2,174.0003
→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”),2,174.000,2,174.00],[new Date(“2016-12-02”),2,175.000,2,175.00],[new Date(“2016-12-03”),2,175.000,2,175.00],[new Date(“2016-12-04”),2,175.000,2,175.00],[new Date(“2016-12-05”),2,174.000,2,174.00],[new Date(“2016-12-06”),2,174.000,2,174.00],[new Date(“2016-12-07”),2,175.000,2,175.00],[new Date(“2016-12-08”),2,175.000,2,175.00],[new Date(“2016-12-09”),2,173.000,2,173.00],[new Date(“2016-12-10”),2,173.000,2,173.00],[new Date(“2016-12-11”),2,173.000,2,173.00],[new Date(“2016-12-12”),2,173.000,2,173.00],[new Date(“2016-12-13”),2,173.000,2,173.00],[new Date(“2016-12-14”),2,171.000,2,171.00],[new Date(“2016-12-15”),2,175.000,2,175.00],[new Date(“2016-12-16”),2,172.000,2,172.00],[new Date(“2016-12-17”),2,172.000,2,172.00],[new Date(“2016-12-18”),2,171.000,2,171.00],[new Date(“2016-12-19”),2,171.000,2,171.00],[new Date(“2016-12-20”),2,171.000,2,171.00],[new Date(“2016-12-21”),2,171.000,2,171.00],[new Date(“2016-12-22”),2,171.000,2,171.00],[new Date(“2016-12-23”),2,171.000,2,171.00],[new Date(“2016-12-24”),2,171.000,2,171.00],[new Date(“2016-12-25”),2,171.000,2,171.00],[new Date(“2016-12-26”),2,171.000,2,171.00],[new Date(“2016-12-27”),2,171.000,2,171.00],[new Date(“2016-12-28”),2,171.000,2,171.00],[new Date(“2016-12-29”),2,171.000,2,171.00],[new Date(“2016-12-30”),2,174.000,2,174.00],[new Date(“2016-12-31″),2,174.000,2,174.00],]);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_12’));
chart.draw(data, options);
}

November, 2016

01      2,179.0001
02      2,178.9997
↗0.000, 0.00%
03      2,177.0001
↗2.000, 0.09%
04      2,176.0003
↗1.000, 0.05%
05      2,176.0003
→0.000, 0.00%
06      2,175.9998
↗0.001, 0.00%
07      2,176.0000
↘0.000, 0.00%
08      2,177.0004
↘1.000, 0.05%
09      2,174.9996
↗2.001, 0.09%
10      2,175.9996
↘1.000, 0.05%
11      2,176.0003
↘0.001, 0.00%
12      2,176.0003
→0.000, 0.00%
13      2,176.0000
↗0.000, 0.00%
14      2,175.0001
↗1.000, 0.05%
15      2,175.0002
↘0.000, 0.00%
16      2,176.9999
↘2.000, 0.09%
17      2,175.9997
↗1.000, 0.05%
18      2,177.0003
↘1.001, 0.05%
19      2,177.0003
→0.000, 0.00%
20      2,176.9997
↗0.001, 0.00%
21      2,176.0001
↗1.000, 0.05%
22      2,175.0000
↗1.000, 0.05%
23      2,173.9998
↗1.000, 0.05%
24      2,174.0003
↘0.001, 0.00%
25      2,174.0003
↗0.000, 0.00%
26      2,174.0003
→0.000, 0.00%
27      2,173.9998
↗0.001, 0.00%
28      2,174.0002
↘0.000, 0.00%
29      2,174.9998
↘1.000, 0.05%
30      2,175.0003
↘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(“2016-11-01”),2,179.000,2,179.00],[new Date(“2016-11-02”),2,179.000,2,179.00],[new Date(“2016-11-03”),2,177.000,2,177.00],[new Date(“2016-11-04”),2,176.000,2,176.00],[new Date(“2016-11-05”),2,176.000,2,176.00],[new Date(“2016-11-06”),2,176.000,2,176.00],[new Date(“2016-11-07”),2,176.000,2,176.00],[new Date(“2016-11-08”),2,177.000,2,177.00],[new Date(“2016-11-09”),2,175.000,2,175.00],[new Date(“2016-11-10”),2,176.000,2,176.00],[new Date(“2016-11-11”),2,176.000,2,176.00],[new Date(“2016-11-12”),2,176.000,2,176.00],[new Date(“2016-11-13”),2,176.000,2,176.00],[new Date(“2016-11-14”),2,175.000,2,175.00],[new Date(“2016-11-15”),2,175.000,2,175.00],[new Date(“2016-11-16”),2,177.000,2,177.00],[new Date(“2016-11-17”),2,176.000,2,176.00],[new Date(“2016-11-18”),2,177.000,2,177.00],[new Date(“2016-11-19”),2,177.000,2,177.00],[new Date(“2016-11-20”),2,177.000,2,177.00],[new Date(“2016-11-21”),2,176.000,2,176.00],[new Date(“2016-11-22”),2,175.000,2,175.00],[new Date(“2016-11-23”),2,174.000,2,174.00],[new Date(“2016-11-24”),2,174.000,2,174.00],[new Date(“2016-11-25”),2,174.000,2,174.00],[new Date(“2016-11-26”),2,174.000,2,174.00],[new Date(“2016-11-27”),2,174.000,2,174.00],[new Date(“2016-11-28”),2,174.000,2,174.00],[new Date(“2016-11-29”),2,175.000,2,175.00],[new Date(“2016-11-30″),2,175.000,2,175.00],]);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_11’));
chart.draw(data, options);
}

October, 2016

01      2,175.0003
02      2,174.9999
↗0.000, 0.00%
03      2,176.9998
↘2.000, 0.09%
04      2,176.0001
↗1.000, 0.05%
05      2,179.0003
↘3.000, 0.14%
06      2,174.9998
↗4.001, 0.18%
07      2,179.0003
↘4.001, 0.18%
08      2,179.0003
→0.000, 0.00%
09      2,179.0002
↗0.000, 0.00%
10      2,179.0000
↗0.000, 0.00%
11      2,177.9998
↗1.000, 0.05%
12      2,177.0002
↗1.000, 0.05%
13      2,176.9998
↗0.000, 0.00%
14      2,177.0003
↘0.001, 0.00%
15      2,177.0003
→0.000, 0.00%
16      2,177.0002
↗0.000, 0.00%
17      2,177.0001
↗0.000, 0.00%
18      2,178.9996
↘1.999, 0.09%
19      2,176.9996
↗2.000, 0.09%
20      2,178.9999
↘2.000, 0.09%
21      2,178.0003
↗1.000, 0.05%
22      2,178.0003
→0.000, 0.00%
23      2,178.0001
↗0.000, 0.00%
24      2,179.0001
↘1.000, 0.05%
25      2,179.9999
↘1.000, 0.05%
26      2,178.0003
↗2.000, 0.09%
27      2,179.0002
↘1.000, 0.05%
28      2,179.0003
↘0.000, 0.00%
29      2,179.0003
→0.000, 0.00%
30      2,179.0001
↗0.000, 0.00%
31      2,179.9996
↘1.000, 0.05%
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”),2,175.000,2,175.00],[new Date(“2016-10-02”),2,175.000,2,175.00],[new Date(“2016-10-03”),2,177.000,2,177.00],[new Date(“2016-10-04”),2,176.000,2,176.00],[new Date(“2016-10-05”),2,179.000,2,179.00],[new Date(“2016-10-06”),2,175.000,2,175.00],[new Date(“2016-10-07”),2,179.000,2,179.00],[new Date(“2016-10-08”),2,179.000,2,179.00],[new Date(“2016-10-09”),2,179.000,2,179.00],[new Date(“2016-10-10”),2,179.000,2,179.00],[new Date(“2016-10-11”),2,178.000,2,178.00],[new Date(“2016-10-12”),2,177.000,2,177.00],[new Date(“2016-10-13”),2,177.000,2,177.00],[new Date(“2016-10-14”),2,177.000,2,177.00],[new Date(“2016-10-15”),2,177.000,2,177.00],[new Date(“2016-10-16”),2,177.000,2,177.00],[new Date(“2016-10-17”),2,177.000,2,177.00],[new Date(“2016-10-18”),2,179.000,2,179.00],[new Date(“2016-10-19”),2,177.000,2,177.00],[new Date(“2016-10-20”),2,179.000,2,179.00],[new Date(“2016-10-21”),2,178.000,2,178.00],[new Date(“2016-10-22”),2,178.000,2,178.00],[new Date(“2016-10-23”),2,178.000,2,178.00],[new Date(“2016-10-24”),2,179.000,2,179.00],[new Date(“2016-10-25”),2,180.000,2,180.00],[new Date(“2016-10-26”),2,178.000,2,178.00],[new Date(“2016-10-27”),2,179.000,2,179.00],[new Date(“2016-10-28”),2,179.000,2,179.00],[new Date(“2016-10-29”),2,179.000,2,179.00],[new Date(“2016-10-30”),2,179.000,2,179.00],[new Date(“2016-10-31″),2,180.000,2,180.00],]);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      2,181.0004
02      2,180.0003
↗1.000, 0.05%
03      2,180.0003
→0.000, 0.00%
04      2,183.0003
↘3.000, 0.14%
05      2,182.9997
↗0.001, 0.00%
06      2,179.0002
↗4.000, 0.18%
07      2,178.9996
↗0.001, 0.00%
08      2,180.0002
↘1.001, 0.05%
09      2,180.0003
↘0.000, 0.00%
10      2,180.0003
→0.000, 0.00%
11      2,180.0001
↗0.000, 0.00%
12      2,178.9996
↗1.000, 0.05%
13      2,179.0001
↘0.001, 0.00%
14      2,177.0001
↗2.000, 0.09%
15      2,175.0003
↗2.000, 0.09%
16      2,175.0003
↘0.000, 0.00%
17      2,175.0003
→0.000, 0.00%
18      2,174.9996
↗0.001, 0.00%
19      2,176.0003
↘1.001, 0.05%
20      2,174.9999
↗1.000, 0.05%
21      2,175.0003
↘0.000, 0.00%
22      2,175.0001
↗0.000, 0.00%
23      2,176.0003
↘1.000, 0.05%
24      2,176.0003
→0.000, 0.00%
25      2,175.9998
↗0.001, 0.00%
26      2,175.0001
↗1.000, 0.05%
27      2,175.9997
↘1.000, 0.05%
28      2,176.9998
↘1.000, 0.05%
29      2,175.0001
↗2.000, 0.09%
30      2,175.0003
↘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(“2016-09-01”),2,181.000,2,181.00],[new Date(“2016-09-02”),2,180.000,2,180.00],[new Date(“2016-09-03”),2,180.000,2,180.00],[new Date(“2016-09-04”),2,183.000,2,183.00],[new Date(“2016-09-05”),2,183.000,2,183.00],[new Date(“2016-09-06”),2,179.000,2,179.00],[new Date(“2016-09-07”),2,179.000,2,179.00],[new Date(“2016-09-08”),2,180.000,2,180.00],[new Date(“2016-09-09”),2,180.000,2,180.00],[new Date(“2016-09-10”),2,180.000,2,180.00],[new Date(“2016-09-11”),2,180.000,2,180.00],[new Date(“2016-09-12”),2,179.000,2,179.00],[new Date(“2016-09-13”),2,179.000,2,179.00],[new Date(“2016-09-14”),2,177.000,2,177.00],[new Date(“2016-09-15”),2,175.000,2,175.00],[new Date(“2016-09-16”),2,175.000,2,175.00],[new Date(“2016-09-17”),2,175.000,2,175.00],[new Date(“2016-09-18”),2,175.000,2,175.00],[new Date(“2016-09-19”),2,176.000,2,176.00],[new Date(“2016-09-20”),2,175.000,2,175.00],[new Date(“2016-09-21”),2,175.000,2,175.00],[new Date(“2016-09-22”),2,175.000,2,175.00],[new Date(“2016-09-23”),2,176.000,2,176.00],[new Date(“2016-09-24”),2,176.000,2,176.00],[new Date(“2016-09-25”),2,176.000,2,176.00],[new Date(“2016-09-26”),2,175.000,2,175.00],[new Date(“2016-09-27”),2,176.000,2,176.00],[new Date(“2016-09-28”),2,177.000,2,177.00],[new Date(“2016-09-29”),2,175.000,2,175.00],[new Date(“2016-09-30″),2,175.000,2,175.00],]);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      2,183.9998
02      2,182.9998
↗1.000, 0.05%
03      2,182.9999
↘0.000, 0.00%
04      2,182.0001
↗1.000, 0.05%
05      2,183.0003
↘1.000, 0.05%
06      2,183.0003
→0.000, 0.00%
07      2,182.9998
↗0.001, 0.00%
08      2,183.0002
↘0.000, 0.00%
09      2,182.9997
↗0.001, 0.00%
10      2,183.0000
↘0.000, 0.00%
11      2,184.0002
↘1.000, 0.05%
12      2,182.0003
↗2.000, 0.09%
13      2,182.0003
→0.000, 0.00%
14      2,181.9999
↗0.000, 0.00%
15      2,180.0002
↗2.000, 0.09%
16      2,179.9995
↗0.001, 0.00%
17      2,183.0004
↘3.001, 0.14%
18      2,182.0004
↗1.000, 0.05%
19      2,180.0003
↗2.000, 0.09%
20      2,180.0003
→0.000, 0.00%
21      2,180.0003
↘0.000, 0.00%
22      2,182.0002
↘2.000, 0.09%
23      2,182.0002
↘0.000, 0.00%
24      2,181.9998
↗0.000, 0.00%
25      2,181.0002
↗1.000, 0.05%
26      2,182.0003
↘1.000, 0.05%
27      2,182.0003
→0.000, 0.00%
28      2,182.0001
↗0.000, 0.00%
29      2,179.9998
↗2.000, 0.09%
30      2,182.0002
↘2.000, 0.09%
31      2,181.0002
↗1.000, 0.05%
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”),2,184.000,2,184.00],[new Date(“2016-08-02”),2,183.000,2,183.00],[new Date(“2016-08-03”),2,183.000,2,183.00],[new Date(“2016-08-04”),2,182.000,2,182.00],[new Date(“2016-08-05”),2,183.000,2,183.00],[new Date(“2016-08-06”),2,183.000,2,183.00],[new Date(“2016-08-07”),2,183.000,2,183.00],[new Date(“2016-08-08”),2,183.000,2,183.00],[new Date(“2016-08-09”),2,183.000,2,183.00],[new Date(“2016-08-10”),2,183.000,2,183.00],[new Date(“2016-08-11”),2,184.000,2,184.00],[new Date(“2016-08-12”),2,182.000,2,182.00],[new Date(“2016-08-13”),2,182.000,2,182.00],[new Date(“2016-08-14”),2,182.000,2,182.00],[new Date(“2016-08-15”),2,180.000,2,180.00],[new Date(“2016-08-16”),2,180.000,2,180.00],[new Date(“2016-08-17”),2,183.000,2,183.00],[new Date(“2016-08-18”),2,182.000,2,182.00],[new Date(“2016-08-19”),2,180.000,2,180.00],[new Date(“2016-08-20”),2,180.000,2,180.00],[new Date(“2016-08-21”),2,180.000,2,180.00],[new Date(“2016-08-22”),2,182.000,2,182.00],[new Date(“2016-08-23”),2,182.000,2,182.00],[new Date(“2016-08-24”),2,182.000,2,182.00],[new Date(“2016-08-25”),2,181.000,2,181.00],[new Date(“2016-08-26”),2,182.000,2,182.00],[new Date(“2016-08-27”),2,182.000,2,182.00],[new Date(“2016-08-28”),2,182.000,2,182.00],[new Date(“2016-08-29”),2,180.000,2,180.00],[new Date(“2016-08-30”),2,182.000,2,182.00],[new Date(“2016-08-31″),2,181.000,2,181.00],]);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      2,195.3233
02      2,198.1200
↘2.797, 0.13%
03      2,195.3666
↗2.753, 0.13%
04      2,191.4000
↗3.967, 0.18%
05      2,191.0900
↗0.310, 0.01%
06      2,188.2817
↗2.808, 0.13%
07      2,193.5467
↘5.265, 0.24%
08      2,187.8217
↗5.725, 0.26%
09      2,189.0267
↘1.205, 0.06%
10      2,189.5833
↘0.557, 0.03%
11      2,187.6667
↗1.917, 0.09%
12      2,190.0400
↘2.373, 0.11%
13      2,187.7267
↗2.313, 0.11%
14      2,189.1167
↘1.390, 0.06%
15      2,186.0003
↗3.116, 0.14%
16      2,186.0003
→0.000, 0.00%
17      2,186.0003
↗0.000, 0.00%
18      2,185.0001
↗1.000, 0.05%
19      2,184.9999
↗0.000, 0.00%
20      2,183.9996
↗1.000, 0.05%
21      2,185.0002
↘1.001, 0.05%
22      2,184.0003
↗1.000, 0.05%
23      2,184.0003
→0.000, 0.00%
24      2,184.0001
↗0.000, 0.00%
25      2,184.0000
↗0.000, 0.00%
26      2,181.9998
↗2.000, 0.09%
27      2,183.0001
↘1.000, 0.05%
28      2,182.0002
↗1.000, 0.05%
29      2,184.0003
↘2.000, 0.09%
30      2,184.0003
→0.000, 0.00%
31      2,184.0002
↗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(“2016-07-01”),2,195.323,2,195.32],[new Date(“2016-07-02”),2,198.120,2,198.12],[new Date(“2016-07-03”),2,195.367,2,195.37],[new Date(“2016-07-04”),2,191.400,2,191.40],[new Date(“2016-07-05”),2,191.090,2,191.09],[new Date(“2016-07-06”),2,188.282,2,188.28],[new Date(“2016-07-07”),2,193.547,2,193.55],[new Date(“2016-07-08”),2,187.822,2,187.82],[new Date(“2016-07-09”),2,189.027,2,189.03],[new Date(“2016-07-10”),2,189.583,2,189.58],[new Date(“2016-07-11”),2,187.667,2,187.67],[new Date(“2016-07-12”),2,190.040,2,190.04],[new Date(“2016-07-13”),2,187.727,2,187.73],[new Date(“2016-07-14”),2,189.117,2,189.12],[new Date(“2016-07-15”),2,186.000,2,186.00],[new Date(“2016-07-16”),2,186.000,2,186.00],[new Date(“2016-07-17”),2,186.000,2,186.00],[new Date(“2016-07-18”),2,185.000,2,185.00],[new Date(“2016-07-19”),2,185.000,2,185.00],[new Date(“2016-07-20”),2,184.000,2,184.00],[new Date(“2016-07-21”),2,185.000,2,185.00],[new Date(“2016-07-22”),2,184.000,2,184.00],[new Date(“2016-07-23”),2,184.000,2,184.00],[new Date(“2016-07-24”),2,184.000,2,184.00],[new Date(“2016-07-25”),2,184.000,2,184.00],[new Date(“2016-07-26”),2,182.000,2,182.00],[new Date(“2016-07-27”),2,183.000,2,183.00],[new Date(“2016-07-28”),2,182.000,2,182.00],[new Date(“2016-07-29”),2,184.000,2,184.00],[new Date(“2016-07-30”),2,184.000,2,184.00],[new Date(“2016-07-31″),2,184.000,2,184.00],]);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      2,190.6817
02      2,195.1367
↘4.455, 0.20%
03      2,190.0467
↗5.090, 0.23%
04      2,192.5217
↘2.475, 0.11%
05      2,190.7333
↗1.788, 0.08%
06      2,190.6667
↗0.067, 0.00%
07      2,184.3467
↗6.320, 0.29%
08      2,190.3784
↘6.032, 0.28%
09      2,192.5550
↘2.177, 0.10%
10      2,193.8967
↘1.342, 0.06%
11      2,195.9217
↘2.025, 0.09%
12      2,193.6667
↗2.255, 0.10%
13      2,194.4500
↘0.783, 0.04%
14      2,194.2500
↗0.200, 0.01%
15      2,187.9084
↗6.342, 0.29%
16      2,194.8884
↘6.980, 0.32%
17      2,191.3383
↗3.550, 0.16%
18      2,190.2700
↗1.068, 0.05%
19      2,191.2500
↘0.980, 0.04%
20      2,193.7000
↘2.450, 0.11%
21      2,195.6000
↘1.900, 0.09%
22      2,189.9183
↗5.682, 0.26%
23      2,196.9950
↘7.077, 0.32%
24      2,186.7667
↗10.228, 0.47%
25      2,188.2200
↘1.453, 0.07%
26      2,182.1834
↗6.037, 0.28%
27      2,186.2333
↘4.050, 0.19%
28      2,191.5250
↘5.292, 0.24%
29      2,190.3883
↗1.137, 0.05%
30      2,192.0250
↘1.637, 0.07%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),2,190.682,2,190.68],[new Date(“2016-06-02”),2,195.137,2,195.14],[new Date(“2016-06-03”),2,190.047,2,190.05],[new Date(“2016-06-04”),2,192.522,2,192.52],[new Date(“2016-06-05”),2,190.733,2,190.73],[new Date(“2016-06-06”),2,190.667,2,190.67],[new Date(“2016-06-07”),2,184.347,2,184.35],[new Date(“2016-06-08”),2,190.378,2,190.38],[new Date(“2016-06-09”),2,192.555,2,192.56],[new Date(“2016-06-10”),2,193.897,2,193.90],[new Date(“2016-06-11”),2,195.922,2,195.92],[new Date(“2016-06-12”),2,193.667,2,193.67],[new Date(“2016-06-13”),2,194.450,2,194.45],[new Date(“2016-06-14”),2,194.250,2,194.25],[new Date(“2016-06-15”),2,187.908,2,187.91],[new Date(“2016-06-16”),2,194.888,2,194.89],[new Date(“2016-06-17”),2,191.338,2,191.34],[new Date(“2016-06-18”),2,190.270,2,190.27],[new Date(“2016-06-19”),2,191.250,2,191.25],[new Date(“2016-06-20”),2,193.700,2,193.70],[new Date(“2016-06-21”),2,195.600,2,195.60],[new Date(“2016-06-22”),2,189.918,2,189.92],[new Date(“2016-06-23”),2,196.995,2,196.99],[new Date(“2016-06-24”),2,186.767,2,186.77],[new Date(“2016-06-25”),2,188.220,2,188.22],[new Date(“2016-06-26”),2,182.183,2,182.18],[new Date(“2016-06-27”),2,186.233,2,186.23],[new Date(“2016-06-28”),2,191.525,2,191.52],[new Date(“2016-06-29”),2,190.388,2,190.39],[new Date(“2016-06-30″),2,192.025,2,192.03],]);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      2,186.4650
02      2,190.4833
↘4.018, 0.18%
03      2,184.1333
↗6.350, 0.29%
04      2,188.4917
↘4.358, 0.20%
05      2,194.0134
↘5.522, 0.25%
06      2,189.9417
↗4.072, 0.19%
07      2,190.6867
↘0.745, 0.03%
08      2,189.7167
↗0.970, 0.04%
09      2,190.0500
↘0.333, 0.02%
10      2,190.7483
↘0.698, 0.03%
11      2,189.6900
↗1.058, 0.05%
12      2,187.3384
↗2.352, 0.11%
13      2,188.2567
↘0.918, 0.04%
14      2,190.1667
↘1.910, 0.09%
15      2,189.2000
↗0.967, 0.04%
16      2,191.3500
↘2.150, 0.10%
17      2,189.4334
↗1.917, 0.09%
18      2,188.8333
↗0.600, 0.03%
19      2,189.0667
↘0.233, 0.01%
20      2,192.3017
↘3.235, 0.15%
21      2,190.7684
↗1.533, 0.07%
22      2,190.3834
↗0.385, 0.02%
23      2,190.8166
↘0.433, 0.02%
24      2,190.1700
↗0.647, 0.03%
25      2,190.6484
↘0.478, 0.02%
26      2,192.5183
↘1.870, 0.09%
27      2,189.6050
↗2.913, 0.13%
28      2,189.5250
↗0.080, 0.00%
29      2,190.1834
↘0.658, 0.03%
30      2,190.9334
↘0.750, 0.03%
31      2,192.7600
↘1.827, 0.08%
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”),2,186.465,2,186.47],[new Date(“2016-05-02”),2,190.483,2,190.48],[new Date(“2016-05-03”),2,184.133,2,184.13],[new Date(“2016-05-04”),2,188.492,2,188.49],[new Date(“2016-05-05”),2,194.013,2,194.01],[new Date(“2016-05-06”),2,189.942,2,189.94],[new Date(“2016-05-07”),2,190.687,2,190.69],[new Date(“2016-05-08”),2,189.717,2,189.72],[new Date(“2016-05-09”),2,190.050,2,190.05],[new Date(“2016-05-10”),2,190.748,2,190.75],[new Date(“2016-05-11”),2,189.690,2,189.69],[new Date(“2016-05-12”),2,187.338,2,187.34],[new Date(“2016-05-13”),2,188.257,2,188.26],[new Date(“2016-05-14”),2,190.167,2,190.17],[new Date(“2016-05-15”),2,189.200,2,189.20],[new Date(“2016-05-16”),2,191.350,2,191.35],[new Date(“2016-05-17”),2,189.433,2,189.43],[new Date(“2016-05-18”),2,188.833,2,188.83],[new Date(“2016-05-19”),2,189.067,2,189.07],[new Date(“2016-05-20”),2,192.302,2,192.30],[new Date(“2016-05-21”),2,190.768,2,190.77],[new Date(“2016-05-22”),2,190.383,2,190.38],[new Date(“2016-05-23”),2,190.817,2,190.82],[new Date(“2016-05-24”),2,190.170,2,190.17],[new Date(“2016-05-25”),2,190.648,2,190.65],[new Date(“2016-05-26”),2,192.518,2,192.52],[new Date(“2016-05-27”),2,189.605,2,189.61],[new Date(“2016-05-28”),2,189.525,2,189.53],[new Date(“2016-05-29”),2,190.183,2,190.18],[new Date(“2016-05-30”),2,190.933,2,190.93],[new Date(“2016-05-31″),2,192.760,2,192.76],]);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      2,186.3067
02      2,186.8634
↘0.557, 0.03%
03      2,186.6000
↗0.263, 0.01%
04      2,187.2334
↘0.633, 0.03%
05      2,187.6200
↘0.387, 0.02%
06      2,185.9534
↗1.667, 0.08%
07      2,187.9133
↘1.960, 0.09%
08      2,185.9866
↗1.927, 0.09%
09      2,187.2466
↘1.260, 0.06%
10      2,187.2833
↘0.037, 0.00%
11      2,187.8334
↘0.550, 0.03%
12      2,185.8784
↗1.955, 0.09%
13      2,187.4183
↘1.540, 0.07%
14      2,189.0334
↘1.615, 0.07%
15      2,189.8450
↘0.812, 0.04%
16      2,189.1267
↗0.718, 0.03%
17      2,188.9167
↗0.210, 0.01%
18      2,189.9167
↘1.000, 0.05%
19      2,188.6283
↗1.288, 0.06%
20      2,192.4584
↘3.830, 0.17%
21      2,192.7084
↘0.250, 0.01%
22      2,201.3517
↘8.643, 0.39%
23      2,200.7217
↗0.630, 0.03%
24      2,201.0500
↘0.328, 0.01%
25      2,201.3834
↘0.333, 0.02%
26      2,202.2500
↘0.867, 0.04%
27      2,199.1017
↗3.148, 0.14%
28      2,195.0317
↗4.070, 0.19%
29      2,190.0600
↗4.972, 0.23%
30      2,187.7667
↗2.293, 0.10%
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”),2,186.307,2,186.31],[new Date(“2016-04-02”),2,186.863,2,186.86],[new Date(“2016-04-03”),2,186.600,2,186.60],[new Date(“2016-04-04”),2,187.233,2,187.23],[new Date(“2016-04-05”),2,187.620,2,187.62],[new Date(“2016-04-06”),2,185.953,2,185.95],[new Date(“2016-04-07”),2,187.913,2,187.91],[new Date(“2016-04-08”),2,185.987,2,185.99],[new Date(“2016-04-09”),2,187.247,2,187.25],[new Date(“2016-04-10”),2,187.283,2,187.28],[new Date(“2016-04-11”),2,187.833,2,187.83],[new Date(“2016-04-12”),2,185.878,2,185.88],[new Date(“2016-04-13”),2,187.418,2,187.42],[new Date(“2016-04-14”),2,189.033,2,189.03],[new Date(“2016-04-15”),2,189.845,2,189.85],[new Date(“2016-04-16”),2,189.127,2,189.13],[new Date(“2016-04-17”),2,188.917,2,188.92],[new Date(“2016-04-18”),2,189.917,2,189.92],[new Date(“2016-04-19”),2,188.628,2,188.63],[new Date(“2016-04-20”),2,192.458,2,192.46],[new Date(“2016-04-21”),2,192.708,2,192.71],[new Date(“2016-04-22”),2,201.352,2,201.35],[new Date(“2016-04-23”),2,200.722,2,200.72],[new Date(“2016-04-24”),2,201.050,2,201.05],[new Date(“2016-04-25”),2,201.383,2,201.38],[new Date(“2016-04-26”),2,202.250,2,202.25],[new Date(“2016-04-27”),2,199.102,2,199.10],[new Date(“2016-04-28”),2,195.032,2,195.03],[new Date(“2016-04-29”),2,190.060,2,190.06],[new Date(“2016-04-30″),2,187.767,2,187.77],]);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      2,192.5883
02      2,189.4034
↗3.185, 0.15%
03      2,184.5767
↗4.827, 0.22%
04      2,186.3450
↘1.768, 0.08%
05      2,183.4517
↗2.893, 0.13%
06      2,183.9833
↘0.532, 0.02%
07      2,186.3833
↘2.400, 0.11%
08      2,187.6750
↘1.292, 0.06%
09      2,185.3317
↗2.343, 0.11%
10      2,187.3417
↘2.010, 0.09%
11      2,183.7283
↗3.613, 0.17%
12      2,176.5367
↗7.192, 0.33%
13      2,181.4833
↘4.947, 0.23%
14      2,186.1333
↘4.650, 0.21%
15      2,184.0183
↗2.115, 0.10%
16      2,178.2367
↗5.782, 0.26%
17      2,186.6950
↘8.458, 0.39%
18      2,182.5417
↗4.153, 0.19%
19      2,187.4767
↘4.935, 0.23%
20      2,188.1600
↘0.683, 0.03%
21      2,187.1000
↗1.060, 0.05%
22      2,187.2050
↘0.105, 0.00%
23      2,188.1550
↘0.950, 0.04%
24      2,186.6067
↗1.548, 0.07%
25      2,185.3133
↗1.293, 0.06%
26      2,184.1633
↗1.150, 0.05%
27      2,184.1666
↘0.003, 0.00%
28      2,185.1834
↘1.017, 0.05%
29      2,186.0750
↘0.892, 0.04%
30      2,185.6800
↗0.395, 0.02%
31      2,186.1817
↘0.502, 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(“2016-03-01”),2,192.588,2,192.59],[new Date(“2016-03-02”),2,189.403,2,189.40],[new Date(“2016-03-03”),2,184.577,2,184.58],[new Date(“2016-03-04”),2,186.345,2,186.35],[new Date(“2016-03-05”),2,183.452,2,183.45],[new Date(“2016-03-06”),2,183.983,2,183.98],[new Date(“2016-03-07”),2,186.383,2,186.38],[new Date(“2016-03-08”),2,187.675,2,187.68],[new Date(“2016-03-09”),2,185.332,2,185.33],[new Date(“2016-03-10”),2,187.342,2,187.34],[new Date(“2016-03-11”),2,183.728,2,183.73],[new Date(“2016-03-12”),2,176.537,2,176.54],[new Date(“2016-03-13”),2,181.483,2,181.48],[new Date(“2016-03-14”),2,186.133,2,186.13],[new Date(“2016-03-15”),2,184.018,2,184.02],[new Date(“2016-03-16”),2,178.237,2,178.24],[new Date(“2016-03-17”),2,186.695,2,186.70],[new Date(“2016-03-18”),2,182.542,2,182.54],[new Date(“2016-03-19”),2,187.477,2,187.48],[new Date(“2016-03-20”),2,188.160,2,188.16],[new Date(“2016-03-21”),2,187.100,2,187.10],[new Date(“2016-03-22”),2,187.205,2,187.21],[new Date(“2016-03-23”),2,188.155,2,188.16],[new Date(“2016-03-24”),2,186.607,2,186.61],[new Date(“2016-03-25”),2,185.313,2,185.31],[new Date(“2016-03-26”),2,184.163,2,184.16],[new Date(“2016-03-27”),2,184.167,2,184.17],[new Date(“2016-03-28”),2,185.183,2,185.18],[new Date(“2016-03-29”),2,186.075,2,186.07],[new Date(“2016-03-30”),2,185.680,2,185.68],[new Date(“2016-03-31″),2,186.182,2,186.18],]);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, 2016

01      2,184.1834
02      2,186.9900
↘2.807, 0.13%
03      2,173.5616
↗13.428, 0.61%
04      2,184.2450
↘10.683, 0.49%
05      2,177.2450
↗7.000, 0.32%
06      2,183.1484
↘5.903, 0.27%
07      2,182.3834
↗0.765, 0.04%
08      2,184.6167
↘2.233, 0.10%
09      2,181.5717
↗3.045, 0.14%
10      2,182.1017
↘0.530, 0.02%
11      2,183.7634
↘1.662, 0.08%
12      2,185.0534
↘1.290, 0.06%
13      2,188.2617
↘3.208, 0.15%
14      2,188.8500
↘0.588, 0.03%
15      2,186.3167
↗2.533, 0.12%
16      2,188.8417
↘2.525, 0.12%
17      2,190.1417
↘1.300, 0.06%
18      2,188.1817
↗1.960, 0.09%
19      2,186.6867
↗1.495, 0.07%
20      2,185.1250
↗1.562, 0.07%
21      2,184.3167
↗0.808, 0.04%
22      2,188.3000
↘3.983, 0.18%
23      2,188.1650
↗0.135, 0.01%
24      2,184.2533
↗3.912, 0.18%
25      2,187.6150
↘3.362, 0.15%
26      2,192.4167
↘4.802, 0.22%
27      2,193.9167
↘1.500, 0.07%
28      2,201.2834
↘7.367, 0.34%
29      2,188.7667
↗12.517, 0.57%
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”),2,184.183,2,184.18],[new Date(“2016-02-02”),2,186.990,2,186.99],[new Date(“2016-02-03”),2,173.562,2,173.56],[new Date(“2016-02-04”),2,184.245,2,184.25],[new Date(“2016-02-05”),2,177.245,2,177.25],[new Date(“2016-02-06”),2,183.148,2,183.15],[new Date(“2016-02-07”),2,182.383,2,182.38],[new Date(“2016-02-08”),2,184.617,2,184.62],[new Date(“2016-02-09”),2,181.572,2,181.57],[new Date(“2016-02-10”),2,182.102,2,182.10],[new Date(“2016-02-11”),2,183.763,2,183.76],[new Date(“2016-02-12”),2,185.053,2,185.05],[new Date(“2016-02-13”),2,188.262,2,188.26],[new Date(“2016-02-14”),2,188.850,2,188.85],[new Date(“2016-02-15”),2,186.317,2,186.32],[new Date(“2016-02-16”),2,188.842,2,188.84],[new Date(“2016-02-17”),2,190.142,2,190.14],[new Date(“2016-02-18”),2,188.182,2,188.18],[new Date(“2016-02-19”),2,186.687,2,186.69],[new Date(“2016-02-20”),2,185.125,2,185.12],[new Date(“2016-02-21”),2,184.317,2,184.32],[new Date(“2016-02-22”),2,188.300,2,188.30],[new Date(“2016-02-23”),2,188.165,2,188.16],[new Date(“2016-02-24”),2,184.253,2,184.25],[new Date(“2016-02-25”),2,187.615,2,187.62],[new Date(“2016-02-26”),2,192.417,2,192.42],[new Date(“2016-02-27”),2,193.917,2,193.92],[new Date(“2016-02-28”),2,201.283,2,201.28],[new Date(“2016-02-29″),2,188.767,2,188.77],]);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      2,159.2350
02      2,159.1300
↗0.105, 0.00%
03      2,159.0334
↗0.097, 0.00%
04      2,167.7667
↘8.733, 0.40%
05      2,176.3267
↘8.560, 0.39%
06      2,181.4050
↘5.078, 0.23%
07      2,185.4700
↘4.065, 0.19%
08      2,185.2884
↗0.182, 0.01%
09      2,185.6084
↘0.320, 0.01%
10      2,183.0500
↗2.558, 0.12%
11      2,184.1333
↘1.083, 0.05%
12      2,184.4017
↘0.268, 0.01%
13      2,179.1467
↗5.255, 0.24%
14      2,176.0950
↗3.052, 0.14%
15      2,172.0117
↗4.083, 0.19%
16      2,176.5833
↘4.572, 0.21%
17      2,173.8500
↗2.733, 0.13%
18      2,178.3167
↘4.467, 0.21%
19      2,178.3116
↗0.005, 0.00%
20      2,185.7800
↘7.468, 0.34%
21      2,187.2517
↘1.472, 0.07%
22      2,193.3367
↘6.085, 0.28%
23      2,195.5234
↘2.187, 0.10%
24      2,199.8167
↘4.293, 0.20%
25      2,190.8834
↗8.933, 0.41%
26      2,188.6684
↗2.215, 0.10%
27      2,185.9067
↗2.762, 0.13%
28      2,185.9084
↘0.002, 0.00%
29      2,192.5134
↘6.605, 0.30%
30      2,192.0600
↗0.453, 0.02%
31      2,198.2167
↘6.157, 0.28%
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”),2,159.235,2,159.23],[new Date(“2016-01-02”),2,159.130,2,159.13],[new Date(“2016-01-03”),2,159.033,2,159.03],[new Date(“2016-01-04”),2,167.767,2,167.77],[new Date(“2016-01-05”),2,176.327,2,176.33],[new Date(“2016-01-06”),2,181.405,2,181.41],[new Date(“2016-01-07”),2,185.470,2,185.47],[new Date(“2016-01-08”),2,185.288,2,185.29],[new Date(“2016-01-09”),2,185.608,2,185.61],[new Date(“2016-01-10”),2,183.050,2,183.05],[new Date(“2016-01-11”),2,184.133,2,184.13],[new Date(“2016-01-12”),2,184.402,2,184.40],[new Date(“2016-01-13”),2,179.147,2,179.15],[new Date(“2016-01-14”),2,176.095,2,176.09],[new Date(“2016-01-15”),2,172.012,2,172.01],[new Date(“2016-01-16”),2,176.583,2,176.58],[new Date(“2016-01-17”),2,173.850,2,173.85],[new Date(“2016-01-18”),2,178.317,2,178.32],[new Date(“2016-01-19”),2,178.312,2,178.31],[new Date(“2016-01-20”),2,185.780,2,185.78],[new Date(“2016-01-21”),2,187.252,2,187.25],[new Date(“2016-01-22”),2,193.337,2,193.34],[new Date(“2016-01-23”),2,195.523,2,195.52],[new Date(“2016-01-24”),2,199.817,2,199.82],[new Date(“2016-01-25”),2,190.883,2,190.88],[new Date(“2016-01-26”),2,188.668,2,188.67],[new Date(“2016-01-27”),2,185.907,2,185.91],[new Date(“2016-01-28”),2,185.908,2,185.91],[new Date(“2016-01-29”),2,192.513,2,192.51],[new Date(“2016-01-30”),2,192.060,2,192.06],[new Date(“2016-01-31″),2,198.217,2,198.22],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}