Ugandan Shilling UGX 2016 Conversion Rates

  • Opening Value is 3378.448333 UGX per Dollar
  • Closing Value is 3602.000335 UGX per Dollar
  • Change in Value during 2016 is 223.5520 which is 6.62%
  • Best Performance is on 2016-04-24 with 3308.106667 UGX per Dollar
  • Lowest Performance is on 2016-11-29 with 3628.000195 UGX per Dollar
  • Average Value is 3,415.4091 UGX per Dollar
  • Swing Between the higest and the lowest is 319.8935 per Dollar, that is 9.47% compared to the opening value.

USD to UGX Conversion Rates – 12 months

Date 1 USD =
2016-12-31 3,602.0003 UGX
2016-11-30 3,625.0004 UGX
2016-10-31 3,454.9998 UGX
2016-09-30 3,384.0003 UGX
2016-08-31 3,369.9998 UGX
2016-07-31 3,375.0002 UGX
2016-06-30 3,407.3600 UGX
2016-05-31 3,366.6933 UGX
2016-04-30 3,321.3333 UGX
2016-03-31 3,370.8133 UGX
2016-02-29 3,370.3333 UGX
2016-01-31 3,480.2500 UGX
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”),3,602.000,3,602.00],[new Date(“2016-11-30”),3,625.000,3,625.00],[new Date(“2016-10-31”),3,455.000,3,455.00],[new Date(“2016-09-30”),3,384.000,3,384.00],[new Date(“2016-08-31”),3,370.000,3,370.00],[new Date(“2016-07-31”),3,375.000,3,375.00],[new Date(“2016-06-30”),3,407.360,3,407.36],[new Date(“2016-05-31”),3,366.693,3,366.69],[new Date(“2016-04-30”),3,321.333,3,321.33],[new Date(“2016-03-31”),3,370.813,3,370.81],[new Date(“2016-02-29”),3,370.333,3,370.33],[new Date(“2016-01-31”),3,480.250,3,480.25],]);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      3,625.0000
02      3,625.0003
↘0.000, 0.00%
03      3,625.0003
→0.000, 0.00%
04      3,624.9997
↗0.001, 0.00%
05      3,624.9998
↘0.000, 0.00%
06      3,622.0001
↗3.000, 0.08%
07      3,610.0002
↗12.000, 0.33%
08      3,599.9997
↗10.000, 0.28%
09      3,584.0003
↗15.999, 0.44%
10      3,584.0003
→0.000, 0.00%
11      3,583.9999
↗0.000, 0.00%
12      3,582.0002
↗2.000, 0.06%
13      3,566.9998
↗15.000, 0.42%
14      3,583.9996
↘17.000, 0.48%
15      3,625.0002
↘41.001, 1.14%
16      3,584.0003
↗41.000, 1.13%
17      3,584.0003
→0.000, 0.00%
18      3,582.0001
↗2.000, 0.06%
19      3,581.9997
↗0.000, 0.00%
20      3,562.0003
↗19.999, 0.56%
21      3,567.0003
↘5.000, 0.14%
22      3,563.9996
↗3.001, 0.08%
23      3,572.0003
↘8.001, 0.22%
24      3,572.0003
→0.000, 0.00%
25      3,571.9998
↗0.001, 0.00%
26      3,567.0002
↗5.000, 0.14%
27      3,568.9997
↘2.000, 0.06%
28      3,594.0002
↘25.000, 0.70%
29      3,603.9999
↘10.000, 0.28%
30      3,602.0003
↗2.000, 0.06%
31      3,602.0003
→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”),3,625.000,3,625.00],[new Date(“2016-12-02”),3,625.000,3,625.00],[new Date(“2016-12-03”),3,625.000,3,625.00],[new Date(“2016-12-04”),3,625.000,3,625.00],[new Date(“2016-12-05”),3,625.000,3,625.00],[new Date(“2016-12-06”),3,622.000,3,622.00],[new Date(“2016-12-07”),3,610.000,3,610.00],[new Date(“2016-12-08”),3,600.000,3,600.00],[new Date(“2016-12-09”),3,584.000,3,584.00],[new Date(“2016-12-10”),3,584.000,3,584.00],[new Date(“2016-12-11”),3,584.000,3,584.00],[new Date(“2016-12-12”),3,582.000,3,582.00],[new Date(“2016-12-13”),3,567.000,3,567.00],[new Date(“2016-12-14”),3,584.000,3,584.00],[new Date(“2016-12-15”),3,625.000,3,625.00],[new Date(“2016-12-16”),3,584.000,3,584.00],[new Date(“2016-12-17”),3,584.000,3,584.00],[new Date(“2016-12-18”),3,582.000,3,582.00],[new Date(“2016-12-19”),3,582.000,3,582.00],[new Date(“2016-12-20”),3,562.000,3,562.00],[new Date(“2016-12-21”),3,567.000,3,567.00],[new Date(“2016-12-22”),3,564.000,3,564.00],[new Date(“2016-12-23”),3,572.000,3,572.00],[new Date(“2016-12-24”),3,572.000,3,572.00],[new Date(“2016-12-25”),3,572.000,3,572.00],[new Date(“2016-12-26”),3,567.000,3,567.00],[new Date(“2016-12-27”),3,569.000,3,569.00],[new Date(“2016-12-28”),3,594.000,3,594.00],[new Date(“2016-12-29”),3,604.000,3,604.00],[new Date(“2016-12-30”),3,602.000,3,602.00],[new Date(“2016-12-31″),3,602.000,3,602.00],]);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      3,465.0000
02      3,474.9997
↘10.000, 0.29%
03      3,477.0000
↘2.000, 0.06%
04      3,505.0003
↘28.000, 0.81%
05      3,505.0003
→0.000, 0.00%
06      3,505.0002
↗0.000, 0.00%
07      3,502.9995
↗2.001, 0.06%
08      3,497.9999
↗5.000, 0.14%
09      3,504.0001
↘6.000, 0.17%
10      3,514.9999
↘11.000, 0.31%
11      3,530.0003
↘15.000, 0.43%
12      3,530.0003
→0.000, 0.00%
13      3,529.9998
↗0.001, 0.00%
14      3,550.0000
↘20.000, 0.57%
15      3,548.0001
↗2.000, 0.06%
16      3,587.9996
↘39.999, 1.13%
17      3,583.0000
↗5.000, 0.14%
18      3,592.0003
↘9.000, 0.25%
19      3,592.0003
→0.000, 0.00%
20      3,592.0003
↗0.000, 0.00%
21      3,594.9998
↘3.000, 0.08%
22      3,605.0005
↘10.001, 0.28%
23      3,617.9996
↘12.999, 0.36%
24      3,617.9999
↘0.000, 0.00%
25      3,620.0003
↘2.000, 0.06%
26      3,620.0003
→0.000, 0.00%
27      3,619.9999
↗0.000, 0.00%
28      3,620.0004
↘0.000, 0.00%
29      3,628.0002
↘8.000, 0.22%
30      3,625.0004
↗3.000, 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(“2016-11-01”),3,465.000,3,465.00],[new Date(“2016-11-02”),3,475.000,3,475.00],[new Date(“2016-11-03”),3,477.000,3,477.00],[new Date(“2016-11-04”),3,505.000,3,505.00],[new Date(“2016-11-05”),3,505.000,3,505.00],[new Date(“2016-11-06”),3,505.000,3,505.00],[new Date(“2016-11-07”),3,503.000,3,503.00],[new Date(“2016-11-08”),3,498.000,3,498.00],[new Date(“2016-11-09”),3,504.000,3,504.00],[new Date(“2016-11-10”),3,515.000,3,515.00],[new Date(“2016-11-11”),3,530.000,3,530.00],[new Date(“2016-11-12”),3,530.000,3,530.00],[new Date(“2016-11-13”),3,530.000,3,530.00],[new Date(“2016-11-14”),3,550.000,3,550.00],[new Date(“2016-11-15”),3,548.000,3,548.00],[new Date(“2016-11-16”),3,588.000,3,588.00],[new Date(“2016-11-17”),3,583.000,3,583.00],[new Date(“2016-11-18”),3,592.000,3,592.00],[new Date(“2016-11-19”),3,592.000,3,592.00],[new Date(“2016-11-20”),3,592.000,3,592.00],[new Date(“2016-11-21”),3,595.000,3,595.00],[new Date(“2016-11-22”),3,605.001,3,605.00],[new Date(“2016-11-23”),3,618.000,3,618.00],[new Date(“2016-11-24”),3,618.000,3,618.00],[new Date(“2016-11-25”),3,620.000,3,620.00],[new Date(“2016-11-26”),3,620.000,3,620.00],[new Date(“2016-11-27”),3,620.000,3,620.00],[new Date(“2016-11-28”),3,620.000,3,620.00],[new Date(“2016-11-29”),3,628.000,3,628.00],[new Date(“2016-11-30″),3,625.000,3,625.00],]);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      3,384.0003
02      3,383.9997
↗0.001, 0.00%
03      3,384.9999
↘1.000, 0.03%
04      3,395.0002
↘10.000, 0.30%
05      3,395.0002
↘0.000, 0.00%
06      3,405.0005
↘10.000, 0.29%
07      3,395.0003
↗10.000, 0.29%
08      3,395.0003
→0.000, 0.00%
09      3,394.9997
↗0.001, 0.00%
10      3,399.9998
↘5.000, 0.15%
11      3,414.9999
↘15.000, 0.44%
12      3,419.9998
↘5.000, 0.15%
13      3,435.0004
↘15.001, 0.44%
14      3,448.0003
↘13.000, 0.38%
15      3,448.0003
→0.000, 0.00%
16      3,448.0001
↗0.000, 0.00%
17      3,462.0002
↘14.000, 0.41%
18      3,458.0001
↗4.000, 0.12%
19      3,437.9999
↗20.000, 0.58%
20      3,432.9997
↗5.000, 0.15%
21      3,437.0003
↘4.001, 0.12%
22      3,437.0003
→0.000, 0.00%
23      3,436.9998
↗0.001, 0.00%
24      3,450.0001
↘13.000, 0.38%
25      3,448.0000
↗2.000, 0.06%
26      3,458.0001
↘10.000, 0.29%
27      3,462.9996
↘5.000, 0.14%
28      3,458.0003
↗4.999, 0.14%
29      3,458.0003
→0.000, 0.00%
30      3,458.0000
↗0.000, 0.00%
31      3,454.9998
↗3.000, 0.09%
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”),3,384.000,3,384.00],[new Date(“2016-10-02”),3,384.000,3,384.00],[new Date(“2016-10-03”),3,385.000,3,385.00],[new Date(“2016-10-04”),3,395.000,3,395.00],[new Date(“2016-10-05”),3,395.000,3,395.00],[new Date(“2016-10-06”),3,405.000,3,405.00],[new Date(“2016-10-07”),3,395.000,3,395.00],[new Date(“2016-10-08”),3,395.000,3,395.00],[new Date(“2016-10-09”),3,395.000,3,395.00],[new Date(“2016-10-10”),3,400.000,3,400.00],[new Date(“2016-10-11”),3,415.000,3,415.00],[new Date(“2016-10-12”),3,420.000,3,420.00],[new Date(“2016-10-13”),3,435.000,3,435.00],[new Date(“2016-10-14”),3,448.000,3,448.00],[new Date(“2016-10-15”),3,448.000,3,448.00],[new Date(“2016-10-16”),3,448.000,3,448.00],[new Date(“2016-10-17”),3,462.000,3,462.00],[new Date(“2016-10-18”),3,458.000,3,458.00],[new Date(“2016-10-19”),3,438.000,3,438.00],[new Date(“2016-10-20”),3,433.000,3,433.00],[new Date(“2016-10-21”),3,437.000,3,437.00],[new Date(“2016-10-22”),3,437.000,3,437.00],[new Date(“2016-10-23”),3,437.000,3,437.00],[new Date(“2016-10-24”),3,450.000,3,450.00],[new Date(“2016-10-25”),3,448.000,3,448.00],[new Date(“2016-10-26”),3,458.000,3,458.00],[new Date(“2016-10-27”),3,463.000,3,463.00],[new Date(“2016-10-28”),3,458.000,3,458.00],[new Date(“2016-10-29”),3,458.000,3,458.00],[new Date(“2016-10-30”),3,458.000,3,458.00],[new Date(“2016-10-31″),3,455.000,3,455.00],]);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      3,368.0002
02      3,367.0003
↗1.000, 0.03%
03      3,367.0003
→0.000, 0.00%
04      3,376.9999
↘10.000, 0.30%
05      3,376.9998
↗0.000, 0.00%
06      3,375.0002
↗2.000, 0.06%
07      3,380.0001
↘5.000, 0.15%
08      3,377.0002
↗3.000, 0.09%
09      3,377.0003
↘0.000, 0.00%
10      3,377.0003
→0.000, 0.00%
11      3,377.0000
↗0.000, 0.00%
12      3,376.9999
↗0.000, 0.00%
13      3,377.9998
↘1.000, 0.03%
14      3,374.9998
↗3.000, 0.09%
15      3,373.0000
↗2.000, 0.06%
16      3,370.0003
↗3.000, 0.09%
17      3,370.0003
→0.000, 0.00%
18      3,370.0003
↗0.000, 0.00%
19      3,372.0002
↘2.000, 0.06%
20      3,374.9996
↘2.999, 0.09%
21      3,377.9995
↘3.000, 0.09%
22      3,382.9999
↘5.000, 0.15%
23      3,378.0003
↗5.000, 0.15%
24      3,378.0003
→0.000, 0.00%
25      3,378.0001
↗0.000, 0.00%
26      3,383.0002
↘5.000, 0.15%
27      3,385.0001
↘2.000, 0.06%
28      3,382.0001
↗3.000, 0.09%
29      3,377.9999
↗4.000, 0.12%
30      3,384.0003
↘6.000, 0.18%
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”),3,368.000,3,368.00],[new Date(“2016-09-02”),3,367.000,3,367.00],[new Date(“2016-09-03”),3,367.000,3,367.00],[new Date(“2016-09-04”),3,377.000,3,377.00],[new Date(“2016-09-05”),3,377.000,3,377.00],[new Date(“2016-09-06”),3,375.000,3,375.00],[new Date(“2016-09-07”),3,380.000,3,380.00],[new Date(“2016-09-08”),3,377.000,3,377.00],[new Date(“2016-09-09”),3,377.000,3,377.00],[new Date(“2016-09-10”),3,377.000,3,377.00],[new Date(“2016-09-11”),3,377.000,3,377.00],[new Date(“2016-09-12”),3,377.000,3,377.00],[new Date(“2016-09-13”),3,378.000,3,378.00],[new Date(“2016-09-14”),3,375.000,3,375.00],[new Date(“2016-09-15”),3,373.000,3,373.00],[new Date(“2016-09-16”),3,370.000,3,370.00],[new Date(“2016-09-17”),3,370.000,3,370.00],[new Date(“2016-09-18”),3,370.000,3,370.00],[new Date(“2016-09-19”),3,372.000,3,372.00],[new Date(“2016-09-20”),3,375.000,3,375.00],[new Date(“2016-09-21”),3,377.999,3,378.00],[new Date(“2016-09-22”),3,383.000,3,383.00],[new Date(“2016-09-23”),3,378.000,3,378.00],[new Date(“2016-09-24”),3,378.000,3,378.00],[new Date(“2016-09-25”),3,378.000,3,378.00],[new Date(“2016-09-26”),3,383.000,3,383.00],[new Date(“2016-09-27”),3,385.000,3,385.00],[new Date(“2016-09-28”),3,382.000,3,382.00],[new Date(“2016-09-29”),3,378.000,3,378.00],[new Date(“2016-09-30″),3,384.000,3,384.00],]);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      3,383.0004
02      3,376.9998
↗6.001, 0.18%
03      3,367.9998
↗9.000, 0.27%
04      3,362.9999
↗5.000, 0.15%
05      3,365.0003
↘2.000, 0.06%
06      3,365.0003
→0.000, 0.00%
07      3,365.0000
↗0.000, 0.00%
08      3,375.0000
↘10.000, 0.30%
09      3,364.9997
↗10.000, 0.30%
10      3,368.0003
↘3.001, 0.09%
11      3,367.9999
↗0.000, 0.00%
12      3,368.0003
↘0.000, 0.00%
13      3,368.0003
→0.000, 0.00%
14      3,368.0001
↗0.000, 0.00%
15      3,362.9997
↗5.000, 0.15%
16      3,359.9999
↗3.000, 0.09%
17      3,361.9995
↘2.000, 0.06%
18      3,364.9999
↘3.000, 0.09%
19      3,363.0003
↗2.000, 0.06%
20      3,363.0003
→0.000, 0.00%
21      3,363.0002
↗0.000, 0.00%
22      3,365.0001
↘2.000, 0.06%
23      3,363.0002
↗2.000, 0.06%
24      3,366.9998
↘4.000, 0.12%
25      3,368.0006
↘1.001, 0.03%
26      3,368.0003
↗0.000, 0.00%
27      3,368.0003
→0.000, 0.00%
28      3,367.9999
↗0.000, 0.00%
29      3,368.0002
↘0.000, 0.00%
30      3,365.0002
↗3.000, 0.09%
31      3,369.9998
↘5.000, 0.15%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-08-01”),3,383.000,3,383.00],[new Date(“2016-08-02”),3,377.000,3,377.00],[new Date(“2016-08-03”),3,368.000,3,368.00],[new Date(“2016-08-04”),3,363.000,3,363.00],[new Date(“2016-08-05”),3,365.000,3,365.00],[new Date(“2016-08-06”),3,365.000,3,365.00],[new Date(“2016-08-07”),3,365.000,3,365.00],[new Date(“2016-08-08”),3,375.000,3,375.00],[new Date(“2016-08-09”),3,365.000,3,365.00],[new Date(“2016-08-10”),3,368.000,3,368.00],[new Date(“2016-08-11”),3,368.000,3,368.00],[new Date(“2016-08-12”),3,368.000,3,368.00],[new Date(“2016-08-13”),3,368.000,3,368.00],[new Date(“2016-08-14”),3,368.000,3,368.00],[new Date(“2016-08-15”),3,363.000,3,363.00],[new Date(“2016-08-16”),3,360.000,3,360.00],[new Date(“2016-08-17”),3,361.999,3,362.00],[new Date(“2016-08-18”),3,365.000,3,365.00],[new Date(“2016-08-19”),3,363.000,3,363.00],[new Date(“2016-08-20”),3,363.000,3,363.00],[new Date(“2016-08-21”),3,363.000,3,363.00],[new Date(“2016-08-22”),3,365.000,3,365.00],[new Date(“2016-08-23”),3,363.000,3,363.00],[new Date(“2016-08-24”),3,367.000,3,367.00],[new Date(“2016-08-25”),3,368.001,3,368.00],[new Date(“2016-08-26”),3,368.000,3,368.00],[new Date(“2016-08-27”),3,368.000,3,368.00],[new Date(“2016-08-28”),3,368.000,3,368.00],[new Date(“2016-08-29”),3,368.000,3,368.00],[new Date(“2016-08-30”),3,365.000,3,365.00],[new Date(“2016-08-31″),3,370.000,3,370.00],]);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      3,394.4733
02      3,398.8083
↘4.335, 0.13%
03      3,393.4000
↗5.408, 0.16%
04      3,398.4000
↘5.000, 0.15%
05      3,393.3333
↗5.067, 0.15%
06      3,390.8567
↗2.477, 0.07%
07      3,397.6567
↘6.800, 0.20%
08      3,384.1100
↗13.547, 0.40%
09      3,384.4933
↘0.383, 0.01%
10      3,383.9167
↗0.577, 0.02%
11      3,379.3333
↗4.583, 0.14%
12      3,378.2133
↗1.120, 0.03%
13      3,373.1700
↗5.043, 0.15%
14      3,375.9150
↘2.745, 0.08%
15      3,358.0003
↗17.915, 0.53%
16      3,358.0003
→0.000, 0.00%
17      3,358.0002
↗0.000, 0.00%
18      3,357.0005
↗1.000, 0.03%
19      3,358.0001
↘1.000, 0.03%
20      3,363.0001
↘5.000, 0.15%
21      3,365.0003
↘2.000, 0.06%
22      3,374.0003
↘9.000, 0.27%
23      3,374.0003
→0.000, 0.00%
24      3,374.0004
↘0.000, 0.00%
25      3,367.0001
↗7.000, 0.21%
26      3,378.0000
↘11.000, 0.33%
27      3,371.9999
↗6.000, 0.18%
28      3,374.0005
↘2.001, 0.06%
29      3,375.0003
↘1.000, 0.03%
30      3,375.0003
→0.000, 0.00%
31      3,375.0002
↗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”),3,394.473,3,394.47],[new Date(“2016-07-02”),3,398.808,3,398.81],[new Date(“2016-07-03”),3,393.400,3,393.40],[new Date(“2016-07-04”),3,398.400,3,398.40],[new Date(“2016-07-05”),3,393.333,3,393.33],[new Date(“2016-07-06”),3,390.857,3,390.86],[new Date(“2016-07-07”),3,397.657,3,397.66],[new Date(“2016-07-08”),3,384.110,3,384.11],[new Date(“2016-07-09”),3,384.493,3,384.49],[new Date(“2016-07-10”),3,383.917,3,383.92],[new Date(“2016-07-11”),3,379.333,3,379.33],[new Date(“2016-07-12”),3,378.213,3,378.21],[new Date(“2016-07-13”),3,373.170,3,373.17],[new Date(“2016-07-14”),3,375.915,3,375.92],[new Date(“2016-07-15”),3,358.000,3,358.00],[new Date(“2016-07-16”),3,358.000,3,358.00],[new Date(“2016-07-17”),3,358.000,3,358.00],[new Date(“2016-07-18”),3,357.001,3,357.00],[new Date(“2016-07-19”),3,358.000,3,358.00],[new Date(“2016-07-20”),3,363.000,3,363.00],[new Date(“2016-07-21”),3,365.000,3,365.00],[new Date(“2016-07-22”),3,374.000,3,374.00],[new Date(“2016-07-23”),3,374.000,3,374.00],[new Date(“2016-07-24”),3,374.000,3,374.00],[new Date(“2016-07-25”),3,367.000,3,367.00],[new Date(“2016-07-26”),3,378.000,3,378.00],[new Date(“2016-07-27”),3,372.000,3,372.00],[new Date(“2016-07-28”),3,374.001,3,374.00],[new Date(“2016-07-29”),3,375.000,3,375.00],[new Date(“2016-07-30”),3,375.000,3,375.00],[new Date(“2016-07-31″),3,375.000,3,375.00],]);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      3,362.2583
02      3,365.9517
↘3.693, 0.11%
03      3,363.8250
↗2.127, 0.06%
04      3,367.5866
↘3.762, 0.11%
05      3,365.0000
↗2.587, 0.08%
06      3,363.2000
↗1.800, 0.05%
07      3,352.2833
↗10.917, 0.32%
08      3,347.1700
↗5.113, 0.15%
09      3,349.2867
↘2.117, 0.06%
10      3,349.9850
↘0.698, 0.02%
11      3,353.5783
↘3.593, 0.11%
12      3,345.3000
↗8.278, 0.25%
13      3,351.3000
↘6.000, 0.18%
14      3,351.7067
↘0.407, 0.01%
15      3,349.6517
↗2.055, 0.06%
16      3,349.5950
↗0.057, 0.00%
17      3,348.1066
↗1.488, 0.04%
18      3,348.4316
↘0.325, 0.01%
19      3,353.6333
↘5.202, 0.16%
20      3,354.6917
↘1.058, 0.03%
21      3,354.8467
↘0.155, 0.00%
22      3,361.7433
↘6.897, 0.21%
23      3,367.0033
↘5.260, 0.16%
24      3,377.5000
↘10.497, 0.31%
25      3,383.9483
↘6.448, 0.19%
26      3,390.9900
↘7.042, 0.21%
27      3,398.1667
↘7.177, 0.21%
28      3,408.8167
↘10.650, 0.31%
29      3,412.6450
↘3.828, 0.11%
30      3,407.3600
↗5.285, 0.15%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),3,362.258,3,362.26],[new Date(“2016-06-02”),3,365.952,3,365.95],[new Date(“2016-06-03”),3,363.825,3,363.82],[new Date(“2016-06-04”),3,367.587,3,367.59],[new Date(“2016-06-05”),3,365.000,3,365.00],[new Date(“2016-06-06”),3,363.200,3,363.20],[new Date(“2016-06-07”),3,352.283,3,352.28],[new Date(“2016-06-08”),3,347.170,3,347.17],[new Date(“2016-06-09”),3,349.287,3,349.29],[new Date(“2016-06-10”),3,349.985,3,349.98],[new Date(“2016-06-11”),3,353.578,3,353.58],[new Date(“2016-06-12”),3,345.300,3,345.30],[new Date(“2016-06-13”),3,351.300,3,351.30],[new Date(“2016-06-14”),3,351.707,3,351.71],[new Date(“2016-06-15”),3,349.652,3,349.65],[new Date(“2016-06-16”),3,349.595,3,349.60],[new Date(“2016-06-17”),3,348.107,3,348.11],[new Date(“2016-06-18”),3,348.432,3,348.43],[new Date(“2016-06-19”),3,353.633,3,353.63],[new Date(“2016-06-20”),3,354.692,3,354.69],[new Date(“2016-06-21”),3,354.847,3,354.85],[new Date(“2016-06-22”),3,361.743,3,361.74],[new Date(“2016-06-23”),3,367.003,3,367.00],[new Date(“2016-06-24”),3,377.500,3,377.50],[new Date(“2016-06-25”),3,383.948,3,383.95],[new Date(“2016-06-26”),3,390.990,3,390.99],[new Date(“2016-06-27”),3,398.167,3,398.17],[new Date(“2016-06-28”),3,408.817,3,408.82],[new Date(“2016-06-29”),3,412.645,3,412.65],[new Date(“2016-06-30″),3,407.360,3,407.36],]);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      3,318.4633
02      3,316.6667
↗1.797, 0.05%
03      3,318.3683
↘1.702, 0.05%
04      3,323.4767
↘5.108, 0.15%
05      3,333.8500
↘10.373, 0.31%
06      3,332.0233
↗1.827, 0.05%
07      3,332.8950
↘0.872, 0.03%
08      3,331.7833
↗1.112, 0.03%
09      3,325.7833
↗6.000, 0.18%
10      3,329.0767
↘3.293, 0.10%
11      3,323.5700
↗5.507, 0.17%
12      3,321.9550
↗1.615, 0.05%
13      3,322.4000
↘0.445, 0.01%
14      3,325.2917
↘2.892, 0.09%
15      3,325.0000
↗0.292, 0.01%
16      3,325.0000
→0.000, 0.00%
17      3,339.3333
↘14.333, 0.43%
18      3,343.0000
↘3.667, 0.11%
19      3,343.3333
↘0.333, 0.01%
20      3,360.3633
↘17.030, 0.51%
21      3,360.0100
↗0.353, 0.01%
22      3,358.0933
↗1.917, 0.06%
23      3,371.2384
↘13.145, 0.39%
24      3,385.9683
↘14.730, 0.44%
25      3,383.8717
↗2.097, 0.06%
26      3,379.4617
↗4.410, 0.13%
27      3,371.2750
↗8.187, 0.24%
28      3,368.6400
↗2.635, 0.08%
29      3,366.5167
↗2.123, 0.06%
30      3,364.8500
↗1.667, 0.05%
31      3,366.6933
↘1.843, 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(“2016-05-01”),3,318.463,3,318.46],[new Date(“2016-05-02”),3,316.667,3,316.67],[new Date(“2016-05-03”),3,318.368,3,318.37],[new Date(“2016-05-04”),3,323.477,3,323.48],[new Date(“2016-05-05”),3,333.850,3,333.85],[new Date(“2016-05-06”),3,332.023,3,332.02],[new Date(“2016-05-07”),3,332.895,3,332.89],[new Date(“2016-05-08”),3,331.783,3,331.78],[new Date(“2016-05-09”),3,325.783,3,325.78],[new Date(“2016-05-10”),3,329.077,3,329.08],[new Date(“2016-05-11”),3,323.570,3,323.57],[new Date(“2016-05-12”),3,321.955,3,321.96],[new Date(“2016-05-13”),3,322.400,3,322.40],[new Date(“2016-05-14”),3,325.292,3,325.29],[new Date(“2016-05-15”),3,325.000,3,325.00],[new Date(“2016-05-16”),3,325.000,3,325.00],[new Date(“2016-05-17”),3,339.333,3,339.33],[new Date(“2016-05-18”),3,343.000,3,343.00],[new Date(“2016-05-19”),3,343.333,3,343.33],[new Date(“2016-05-20”),3,360.363,3,360.36],[new Date(“2016-05-21”),3,360.010,3,360.01],[new Date(“2016-05-22”),3,358.093,3,358.09],[new Date(“2016-05-23”),3,371.238,3,371.24],[new Date(“2016-05-24”),3,385.968,3,385.97],[new Date(“2016-05-25”),3,383.872,3,383.87],[new Date(“2016-05-26”),3,379.462,3,379.46],[new Date(“2016-05-27”),3,371.275,3,371.28],[new Date(“2016-05-28”),3,368.640,3,368.64],[new Date(“2016-05-29”),3,366.517,3,366.52],[new Date(“2016-05-30”),3,364.850,3,364.85],[new Date(“2016-05-31″),3,366.693,3,366.69],]);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      3,370.5900
02      3,369.9317
↗0.658, 0.02%
03      3,370.0000
↘0.068, 0.00%
04      3,367.5167
↗2.483, 0.07%
05      3,365.6217
↗1.895, 0.06%
06      3,364.1083
↗1.513, 0.04%
07      3,359.0517
↗5.057, 0.15%
08      3,351.2333
↗7.818, 0.23%
09      3,350.7583
↗0.475, 0.01%
10      3,348.7000
↗2.058, 0.06%
11      3,348.2000
↗0.500, 0.01%
12      3,347.3150
↗0.885, 0.03%
13      3,343.7750
↗3.540, 0.11%
14      3,346.6250
↘2.850, 0.09%
15      3,344.8983
↗1.727, 0.05%
16      3,342.5933
↗2.305, 0.07%
17      3,339.9666
↗2.627, 0.08%
18      3,338.4167
↗1.550, 0.05%
19      3,336.6100
↗1.807, 0.05%
20      3,323.6000
↗13.010, 0.39%
21      3,314.1700
↗9.430, 0.28%
22      3,313.9500
↗0.220, 0.01%
23      3,310.0550
↗3.895, 0.12%
24      3,308.1067
↗1.948, 0.06%
25      3,321.9333
↘13.827, 0.42%
26      3,335.1567
↘13.223, 0.40%
27      3,341.6317
↘6.475, 0.19%
28      3,340.4100
↗1.222, 0.04%
29      3,326.0717
↗14.338, 0.43%
30      3,321.3333
↗4.738, 0.14%
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”),3,370.590,3,370.59],[new Date(“2016-04-02”),3,369.932,3,369.93],[new Date(“2016-04-03”),3,370.000,3,370.00],[new Date(“2016-04-04”),3,367.517,3,367.52],[new Date(“2016-04-05”),3,365.622,3,365.62],[new Date(“2016-04-06”),3,364.108,3,364.11],[new Date(“2016-04-07”),3,359.052,3,359.05],[new Date(“2016-04-08”),3,351.233,3,351.23],[new Date(“2016-04-09”),3,350.758,3,350.76],[new Date(“2016-04-10”),3,348.700,3,348.70],[new Date(“2016-04-11”),3,348.200,3,348.20],[new Date(“2016-04-12”),3,347.315,3,347.32],[new Date(“2016-04-13”),3,343.775,3,343.78],[new Date(“2016-04-14”),3,346.625,3,346.63],[new Date(“2016-04-15”),3,344.898,3,344.90],[new Date(“2016-04-16”),3,342.593,3,342.59],[new Date(“2016-04-17”),3,339.967,3,339.97],[new Date(“2016-04-18”),3,338.417,3,338.42],[new Date(“2016-04-19”),3,336.610,3,336.61],[new Date(“2016-04-20”),3,323.600,3,323.60],[new Date(“2016-04-21”),3,314.170,3,314.17],[new Date(“2016-04-22”),3,313.950,3,313.95],[new Date(“2016-04-23”),3,310.055,3,310.06],[new Date(“2016-04-24”),3,308.107,3,308.11],[new Date(“2016-04-25”),3,321.933,3,321.93],[new Date(“2016-04-26”),3,335.157,3,335.16],[new Date(“2016-04-27”),3,341.632,3,341.63],[new Date(“2016-04-28”),3,340.410,3,340.41],[new Date(“2016-04-29”),3,326.072,3,326.07],[new Date(“2016-04-30″),3,321.333,3,321.33],]);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      3,348.4567
02      3,342.9133
↗5.543, 0.17%
03      3,356.4567
↘13.543, 0.41%
04      3,355.0833
↗1.373, 0.04%
05      3,355.0817
↗0.002, 0.00%
06      3,358.6667
↘3.585, 0.11%
07      3,369.3333
↘10.667, 0.32%
08      3,369.1933
↗0.140, 0.00%
09      3,354.7733
↗14.420, 0.43%
10      3,352.8050
↗1.968, 0.06%
11      3,350.9483
↗1.857, 0.06%
12      3,339.8450
↗11.103, 0.33%
13      3,349.1000
↘9.255, 0.28%
14      3,354.0000
↘4.900, 0.15%
15      3,356.0783
↘2.078, 0.06%
16      3,360.0983
↘4.020, 0.12%
17      3,369.3083
↘9.210, 0.27%
18      3,357.7950
↗11.513, 0.34%
19      3,366.5033
↘8.708, 0.26%
20      3,367.9000
↘1.397, 0.04%
21      3,367.9333
↘0.033, 0.00%
22      3,367.1517
↗0.782, 0.02%
23      3,376.7167
↘9.565, 0.28%
24      3,374.0167
↗2.700, 0.08%
25      3,374.2067
↘0.190, 0.01%
26      3,368.5633
↗5.643, 0.17%
27      3,367.0333
↗1.530, 0.05%
28      3,364.1333
↗2.900, 0.09%
29      3,366.5100
↘2.377, 0.07%
30      3,369.4367
↘2.927, 0.09%
31      3,370.8133
↘1.377, 0.04%
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”),3,348.457,3,348.46],[new Date(“2016-03-02”),3,342.913,3,342.91],[new Date(“2016-03-03”),3,356.457,3,356.46],[new Date(“2016-03-04”),3,355.083,3,355.08],[new Date(“2016-03-05”),3,355.082,3,355.08],[new Date(“2016-03-06”),3,358.667,3,358.67],[new Date(“2016-03-07”),3,369.333,3,369.33],[new Date(“2016-03-08”),3,369.193,3,369.19],[new Date(“2016-03-09”),3,354.773,3,354.77],[new Date(“2016-03-10”),3,352.805,3,352.81],[new Date(“2016-03-11”),3,350.948,3,350.95],[new Date(“2016-03-12”),3,339.845,3,339.85],[new Date(“2016-03-13”),3,349.100,3,349.10],[new Date(“2016-03-14”),3,354.000,3,354.00],[new Date(“2016-03-15”),3,356.078,3,356.08],[new Date(“2016-03-16”),3,360.098,3,360.10],[new Date(“2016-03-17”),3,369.308,3,369.31],[new Date(“2016-03-18”),3,357.795,3,357.80],[new Date(“2016-03-19”),3,366.503,3,366.50],[new Date(“2016-03-20”),3,367.900,3,367.90],[new Date(“2016-03-21”),3,367.933,3,367.93],[new Date(“2016-03-22”),3,367.152,3,367.15],[new Date(“2016-03-23”),3,376.717,3,376.72],[new Date(“2016-03-24”),3,374.017,3,374.02],[new Date(“2016-03-25”),3,374.207,3,374.21],[new Date(“2016-03-26”),3,368.563,3,368.56],[new Date(“2016-03-27”),3,367.033,3,367.03],[new Date(“2016-03-28”),3,364.133,3,364.13],[new Date(“2016-03-29”),3,366.510,3,366.51],[new Date(“2016-03-30”),3,369.437,3,369.44],[new Date(“2016-03-31″),3,370.813,3,370.81],]);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      3,472.0000
02      3,477.4333
↘5.433, 0.16%
03      3,465.9200
↗11.513, 0.33%
04      3,463.5833
↗2.337, 0.07%
05      3,423.6483
↗39.935, 1.15%
06      3,436.9217
↘13.273, 0.39%
07      3,443.4833
↘6.562, 0.19%
08      3,459.4833
↘16.000, 0.46%
09      3,464.4933
↘5.010, 0.14%
10      3,450.3067
↗14.187, 0.41%
11      3,455.8700
↘5.563, 0.16%
12      3,443.1917
↗12.678, 0.37%
13      3,444.0033
↘0.812, 0.02%
14      3,437.8667
↗6.137, 0.18%
15      3,420.1667
↗17.700, 0.51%
16      3,417.4067
↗2.760, 0.08%
17      3,417.0850
↗0.322, 0.01%
18      3,427.6850
↘10.600, 0.31%
19      3,434.4467
↘6.762, 0.20%
20      3,432.0883
↗2.358, 0.07%
21      3,430.7833
↗1.305, 0.04%
22      3,432.0000
↘1.217, 0.04%
23      3,414.3533
↗17.647, 0.51%
24      3,410.7950
↗3.558, 0.10%
25      3,377.1383
↗33.657, 0.99%
26      3,363.6000
↗13.538, 0.40%
27      3,354.6617
↗8.938, 0.27%
28      3,367.1833
↘12.522, 0.37%
29      3,370.3333
↘3.150, 0.09%
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”),3,472.000,3,472.00],[new Date(“2016-02-02”),3,477.433,3,477.43],[new Date(“2016-02-03”),3,465.920,3,465.92],[new Date(“2016-02-04”),3,463.583,3,463.58],[new Date(“2016-02-05”),3,423.648,3,423.65],[new Date(“2016-02-06”),3,436.922,3,436.92],[new Date(“2016-02-07”),3,443.483,3,443.48],[new Date(“2016-02-08”),3,459.483,3,459.48],[new Date(“2016-02-09”),3,464.493,3,464.49],[new Date(“2016-02-10”),3,450.307,3,450.31],[new Date(“2016-02-11”),3,455.870,3,455.87],[new Date(“2016-02-12”),3,443.192,3,443.19],[new Date(“2016-02-13”),3,444.003,3,444.00],[new Date(“2016-02-14”),3,437.867,3,437.87],[new Date(“2016-02-15”),3,420.167,3,420.17],[new Date(“2016-02-16”),3,417.407,3,417.41],[new Date(“2016-02-17”),3,417.085,3,417.09],[new Date(“2016-02-18”),3,427.685,3,427.69],[new Date(“2016-02-19”),3,434.447,3,434.45],[new Date(“2016-02-20”),3,432.088,3,432.09],[new Date(“2016-02-21”),3,430.783,3,430.78],[new Date(“2016-02-22”),3,432.000,3,432.00],[new Date(“2016-02-23”),3,414.353,3,414.35],[new Date(“2016-02-24”),3,410.795,3,410.80],[new Date(“2016-02-25”),3,377.138,3,377.14],[new Date(“2016-02-26”),3,363.600,3,363.60],[new Date(“2016-02-27”),3,354.662,3,354.66],[new Date(“2016-02-28”),3,367.183,3,367.18],[new Date(“2016-02-29″),3,370.333,3,370.33],]);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      3,378.4483
02      3,379.0200
↘0.572, 0.02%
03      3,378.8667
↗0.153, 0.00%
04      3,387.6667
↘8.800, 0.26%
05      3,392.5267
↘4.860, 0.14%
06      3,395.5867
↘3.060, 0.09%
07      3,404.6317
↘9.045, 0.27%
08      3,409.7783
↘5.147, 0.15%
09      3,413.5983
↘3.820, 0.11%
10      3,417.8667
↘4.268, 0.13%
11      3,420.2000
↘2.333, 0.07%
12      3,436.2767
↘16.077, 0.47%
13      3,465.0283
↘28.752, 0.84%
14      3,472.8233
↘7.795, 0.22%
15      3,470.3550
↗2.468, 0.07%
16      3,481.0333
↘10.678, 0.31%
17      3,474.8167
↗6.217, 0.18%
18      3,474.3333
↗0.483, 0.01%
19      3,473.5217
↗0.812, 0.02%
20      3,471.8533
↗1.668, 0.05%
21      3,466.5183
↗5.335, 0.15%
22      3,471.2117
↘4.693, 0.14%
23      3,471.4150
↘0.203, 0.01%
24      3,471.5667
↘0.152, 0.00%
25      3,476.2333
↘4.667, 0.13%
26      3,474.8050
↗1.428, 0.04%
27      3,473.5117
↗1.293, 0.04%
28      3,475.5750
↘2.063, 0.06%
29      3,472.6117
↗2.963, 0.09%
30      3,471.7750
↗0.837, 0.02%
31      3,480.2500
↘8.475, 0.24%
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”),3,378.448,3,378.45],[new Date(“2016-01-02”),3,379.020,3,379.02],[new Date(“2016-01-03”),3,378.867,3,378.87],[new Date(“2016-01-04”),3,387.667,3,387.67],[new Date(“2016-01-05”),3,392.527,3,392.53],[new Date(“2016-01-06”),3,395.587,3,395.59],[new Date(“2016-01-07”),3,404.632,3,404.63],[new Date(“2016-01-08”),3,409.778,3,409.78],[new Date(“2016-01-09”),3,413.598,3,413.60],[new Date(“2016-01-10”),3,417.867,3,417.87],[new Date(“2016-01-11”),3,420.200,3,420.20],[new Date(“2016-01-12”),3,436.277,3,436.28],[new Date(“2016-01-13”),3,465.028,3,465.03],[new Date(“2016-01-14”),3,472.823,3,472.82],[new Date(“2016-01-15”),3,470.355,3,470.36],[new Date(“2016-01-16”),3,481.033,3,481.03],[new Date(“2016-01-17”),3,474.817,3,474.82],[new Date(“2016-01-18”),3,474.333,3,474.33],[new Date(“2016-01-19”),3,473.522,3,473.52],[new Date(“2016-01-20”),3,471.853,3,471.85],[new Date(“2016-01-21”),3,466.518,3,466.52],[new Date(“2016-01-22”),3,471.212,3,471.21],[new Date(“2016-01-23”),3,471.415,3,471.42],[new Date(“2016-01-24”),3,471.567,3,471.57],[new Date(“2016-01-25”),3,476.233,3,476.23],[new Date(“2016-01-26”),3,474.805,3,474.81],[new Date(“2016-01-27”),3,473.512,3,473.51],[new Date(“2016-01-28”),3,475.575,3,475.58],[new Date(“2016-01-29”),3,472.612,3,472.61],[new Date(“2016-01-30”),3,471.775,3,471.78],[new Date(“2016-01-31″),3,480.250,3,480.25],]);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);
}