Congolese Franc CDF 2016 Conversion Rates

  • Opening Value is 924.384250 CDF per Dollar
  • Closing Value is 1159.000362 CDF per Dollar
  • Change in Value during 2016 is 234.6161 which is 25.38%
  • Best Performance is on 2016-12-01 with 909.000010 CDF per Dollar
  • Lowest Performance is on 2016-12-08 with 1187.000182 CDF per Dollar
  • Average Value is 965.2203 CDF per Dollar
  • Swing Between the higest and the lowest is 278.0002 per Dollar, that is 30.07% compared to the opening value.

USD to CDF Conversion Rates – 12 months

Date 1 USD =
2016-12-31 1,159.0004 CDF
2016-11-30 1,143.0002 CDF
2016-10-31 959.0005 CDF
2016-09-30 974.0004 CDF
2016-08-31 964.9998 CDF
2016-07-31 972.5005 CDF
2016-06-30 945.4015 CDF
2016-05-31 928.7500 CDF
2016-04-30 928.5050 CDF
2016-03-31 926.7355 CDF
2016-02-29 925.7790 CDF
2016-01-31 928.3780 CDF
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”),1,159.000,1,159.00],[new Date(“2016-11-30”),1,143.000,1,143.00],[new Date(“2016-10-31”),959.000,959.00],[new Date(“2016-09-30”),974.000,974.00],[new Date(“2016-08-31”),965.000,965.00],[new Date(“2016-07-31”),972.501,972.50],[new Date(“2016-06-30”),945.402,945.40],[new Date(“2016-05-31”),928.750,928.75],[new Date(“2016-04-30”),928.505,928.51],[new Date(“2016-03-31”),926.736,926.74],[new Date(“2016-02-29”),925.779,925.78],[new Date(“2016-01-31”),928.378,928.38],]);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      909.0000
02      1,142.0004
↘233.000, 25.63%
03      1,142.0004
→0.000, 0.00%
04      1,141.9999
↗0.000, 0.00%
05      1,135.0000
↗7.000, 0.61%
06      1,128.9994
↗6.001, 0.53%
07      1,124.0002
↗4.999, 0.44%
08      1,187.0002
↘63.000, 5.60%
09      1,186.0004
↗1.000, 0.08%
10      1,186.0004
→0.000, 0.00%
11      1,186.9996
↘0.999, 0.08%
12      1,180.9999
↗6.000, 0.51%
13      1,174.0000
↗7.000, 0.59%
14      1,173.0002
↗1.000, 0.09%
15      1,141.9996
↗31.001, 2.64%
16      1,170.0004
↘28.001, 2.45%
17      1,170.0004
→0.000, 0.00%
18      1,169.9997
↗0.001, 0.00%
19      1,163.9998
↗6.000, 0.51%
20      1,164.0001
↘0.000, 0.00%
21      1,158.0000
↗6.000, 0.52%
22      1,174.0000
↘16.000, 1.38%
23      1,168.0004
↗6.000, 0.51%
24      1,168.0004
→0.000, 0.00%
25      1,168.0000
↗0.000, 0.00%
26      1,167.0005
↗1.000, 0.09%
27      1,166.0002
↗1.000, 0.09%
28      1,159.9999
↗6.000, 0.51%
29      1,161.0002
↘1.000, 0.09%
30      1,159.0004
↗2.000, 0.17%
31      1,159.0004
→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”),909.000,909.00],[new Date(“2016-12-02”),1,142.000,1,142.00],[new Date(“2016-12-03”),1,142.000,1,142.00],[new Date(“2016-12-04”),1,142.000,1,142.00],[new Date(“2016-12-05”),1,135.000,1,135.00],[new Date(“2016-12-06”),1,128.999,1,129.00],[new Date(“2016-12-07”),1,124.000,1,124.00],[new Date(“2016-12-08”),1,187.000,1,187.00],[new Date(“2016-12-09”),1,186.000,1,186.00],[new Date(“2016-12-10”),1,186.000,1,186.00],[new Date(“2016-12-11”),1,187.000,1,187.00],[new Date(“2016-12-12”),1,181.000,1,181.00],[new Date(“2016-12-13”),1,174.000,1,174.00],[new Date(“2016-12-14”),1,173.000,1,173.00],[new Date(“2016-12-15”),1,142.000,1,142.00],[new Date(“2016-12-16”),1,170.000,1,170.00],[new Date(“2016-12-17”),1,170.000,1,170.00],[new Date(“2016-12-18”),1,170.000,1,170.00],[new Date(“2016-12-19”),1,164.000,1,164.00],[new Date(“2016-12-20”),1,164.000,1,164.00],[new Date(“2016-12-21”),1,158.000,1,158.00],[new Date(“2016-12-22”),1,174.000,1,174.00],[new Date(“2016-12-23”),1,168.000,1,168.00],[new Date(“2016-12-24”),1,168.000,1,168.00],[new Date(“2016-12-25”),1,168.000,1,168.00],[new Date(“2016-12-26”),1,167.001,1,167.00],[new Date(“2016-12-27”),1,166.000,1,166.00],[new Date(“2016-12-28”),1,160.000,1,160.00],[new Date(“2016-12-29”),1,161.000,1,161.00],[new Date(“2016-12-30”),1,159.000,1,159.00],[new Date(“2016-12-31″),1,159.000,1,159.00],]);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      954.0000
02      952.9998
↗1.000, 0.10%
03      951.0002
↗2.000, 0.21%
04      944.0004
↗7.000, 0.74%
05      944.0004
→0.000, 0.00%
06      943.9996
↗0.001, 0.00%
07      939.0003
↗4.999, 0.53%
08      938.0002
↗1.000, 0.11%
09      937.0001
↗1.000, 0.11%
10      937.0003
↘0.000, 0.00%
11      937.0004
↘0.000, 0.00%
12      937.0004
→0.000, 0.00%
13      936.9997
↗0.001, 0.00%
14      931.9999
↗5.000, 0.53%
15      928.9999
↗3.000, 0.32%
16      923.0004
↗6.000, 0.65%
17      916.9999
↗6.000, 0.65%
18      924.0004
↘7.000, 0.76%
19      924.0004
→0.000, 0.00%
20      924.0004
↘0.000, 0.00%
21      1,145.0000
↘221.000, 23.92%
22      1,143.0001
↗2.000, 0.17%
23      1,145.0001
↘2.000, 0.17%
24      1,145.0001
↘0.000, 0.00%
25      1,145.0004
↘0.000, 0.00%
26      1,145.0004
→0.000, 0.00%
27      1,145.0001
↗0.000, 0.00%
28      1,139.0002
↗6.000, 0.52%
29      1,139.9997
↘1.000, 0.09%
30      1,143.0002
↘3.001, 0.26%
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”),954.000,954.00],[new Date(“2016-11-02”),953.000,953.00],[new Date(“2016-11-03”),951.000,951.00],[new Date(“2016-11-04”),944.000,944.00],[new Date(“2016-11-05”),944.000,944.00],[new Date(“2016-11-06”),944.000,944.00],[new Date(“2016-11-07”),939.000,939.00],[new Date(“2016-11-08”),938.000,938.00],[new Date(“2016-11-09”),937.000,937.00],[new Date(“2016-11-10”),937.000,937.00],[new Date(“2016-11-11”),937.000,937.00],[new Date(“2016-11-12”),937.000,937.00],[new Date(“2016-11-13”),937.000,937.00],[new Date(“2016-11-14”),932.000,932.00],[new Date(“2016-11-15”),929.000,929.00],[new Date(“2016-11-16”),923.000,923.00],[new Date(“2016-11-17”),917.000,917.00],[new Date(“2016-11-18”),924.000,924.00],[new Date(“2016-11-19”),924.000,924.00],[new Date(“2016-11-20”),924.000,924.00],[new Date(“2016-11-21”),1,145.000,1,145.00],[new Date(“2016-11-22”),1,143.000,1,143.00],[new Date(“2016-11-23”),1,145.000,1,145.00],[new Date(“2016-11-24”),1,145.000,1,145.00],[new Date(“2016-11-25”),1,145.000,1,145.00],[new Date(“2016-11-26”),1,145.000,1,145.00],[new Date(“2016-11-27”),1,145.000,1,145.00],[new Date(“2016-11-28”),1,139.000,1,139.00],[new Date(“2016-11-29”),1,140.000,1,140.00],[new Date(“2016-11-30″),1,143.000,1,143.00],]);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      971.0004
02      974.0001
↘3.000, 0.31%
03      968.9998
↗5.000, 0.51%
04      967.9997
↗1.000, 0.10%
05      968.0005
↘0.001, 0.00%
06      968.0003
↗0.000, 0.00%
07      968.0004
↘0.000, 0.00%
08      968.0004
→0.000, 0.00%
09      967.9999
↗0.000, 0.00%
10      962.9998
↗5.000, 0.52%
11      962.9997
↗0.000, 0.00%
12      962.0005
↗0.999, 0.10%
13      975.9999
↘13.999, 1.46%
14      971.0004
↗4.999, 0.51%
15      971.0004
→0.000, 0.00%
16      970.9999
↗0.000, 0.00%
17      966.0001
↗5.000, 0.51%
18      965.9997
↗0.000, 0.00%
19      966.0000
↘0.000, 0.00%
20      965.9997
↗0.000, 0.00%
21      966.0004
↘0.001, 0.00%
22      966.0004
→0.000, 0.00%
23      965.9998
↗0.001, 0.00%
24      965.0000
↗1.000, 0.10%
25      965.0001
↘0.000, 0.00%
26      964.0001
↗1.000, 0.10%
27      964.0001
↘0.000, 0.00%
28      959.0004
↗5.000, 0.52%
29      959.0004
→0.000, 0.00%
30      958.9999
↗0.000, 0.00%
31      959.0005
↘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(“2016-10-01”),971.000,971.00],[new Date(“2016-10-02”),974.000,974.00],[new Date(“2016-10-03”),969.000,969.00],[new Date(“2016-10-04”),968.000,968.00],[new Date(“2016-10-05”),968.000,968.00],[new Date(“2016-10-06”),968.000,968.00],[new Date(“2016-10-07”),968.000,968.00],[new Date(“2016-10-08”),968.000,968.00],[new Date(“2016-10-09”),968.000,968.00],[new Date(“2016-10-10”),963.000,963.00],[new Date(“2016-10-11”),963.000,963.00],[new Date(“2016-10-12”),962.001,962.00],[new Date(“2016-10-13”),976.000,976.00],[new Date(“2016-10-14”),971.000,971.00],[new Date(“2016-10-15”),971.000,971.00],[new Date(“2016-10-16”),971.000,971.00],[new Date(“2016-10-17”),966.000,966.00],[new Date(“2016-10-18”),966.000,966.00],[new Date(“2016-10-19”),966.000,966.00],[new Date(“2016-10-20”),966.000,966.00],[new Date(“2016-10-21”),966.000,966.00],[new Date(“2016-10-22”),966.000,966.00],[new Date(“2016-10-23”),966.000,966.00],[new Date(“2016-10-24”),965.000,965.00],[new Date(“2016-10-25”),965.000,965.00],[new Date(“2016-10-26”),964.000,964.00],[new Date(“2016-10-27”),964.000,964.00],[new Date(“2016-10-28”),959.000,959.00],[new Date(“2016-10-29”),959.000,959.00],[new Date(“2016-10-30”),959.000,959.00],[new Date(“2016-10-31″),959.000,959.00],]);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      965.0001
02      965.0004
↘0.000, 0.00%
03      965.0004
→0.000, 0.00%
04      962.0001
↗3.000, 0.31%
05      962.0001
↗0.000, 0.00%
06      963.9995
↘1.999, 0.21%
07      963.9999
↘0.000, 0.00%
08      963.9999
↘0.000, 0.00%
09      964.0004
↘0.000, 0.00%
10      964.0004
→0.000, 0.00%
11      963.9995
↗0.001, 0.00%
12      957.9997
↗6.000, 0.62%
13      970.9995
↘13.000, 1.36%
14      957.9999
↗13.000, 1.34%
15      957.9996
↗0.000, 0.00%
16      957.0004
↗0.999, 0.10%
17      957.0004
→0.000, 0.00%
18      957.0000
↗0.000, 0.00%
19      957.0001
↘0.000, 0.00%
20      957.0005
↘0.000, 0.00%
21      970.9997
↘13.999, 1.46%
22      950.9997
↗20.000, 2.06%
23      970.4000
↘19.400, 2.04%
24      970.4000
→0.000, 0.00%
25      970.4000
→0.000, 0.00%
26      970.3500
↗0.050, 0.01%
27      967.4000
↗2.950, 0.30%
28      967.2000
↗0.200, 0.02%
29      974.0004
↘6.800, 0.70%
30      974.0004
↗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”),965.000,965.00],[new Date(“2016-09-02”),965.000,965.00],[new Date(“2016-09-03”),965.000,965.00],[new Date(“2016-09-04”),962.000,962.00],[new Date(“2016-09-05”),962.000,962.00],[new Date(“2016-09-06”),964.000,964.00],[new Date(“2016-09-07”),964.000,964.00],[new Date(“2016-09-08”),964.000,964.00],[new Date(“2016-09-09”),964.000,964.00],[new Date(“2016-09-10”),964.000,964.00],[new Date(“2016-09-11”),964.000,964.00],[new Date(“2016-09-12”),958.000,958.00],[new Date(“2016-09-13”),971.000,971.00],[new Date(“2016-09-14”),958.000,958.00],[new Date(“2016-09-15”),958.000,958.00],[new Date(“2016-09-16”),957.000,957.00],[new Date(“2016-09-17”),957.000,957.00],[new Date(“2016-09-18”),957.000,957.00],[new Date(“2016-09-19”),957.000,957.00],[new Date(“2016-09-20”),957.001,957.00],[new Date(“2016-09-21”),971.000,971.00],[new Date(“2016-09-22”),951.000,951.00],[new Date(“2016-09-23”),970.400,970.40],[new Date(“2016-09-24”),970.400,970.40],[new Date(“2016-09-25”),970.400,970.40],[new Date(“2016-09-26”),970.350,970.35],[new Date(“2016-09-27”),967.400,967.40],[new Date(“2016-09-28”),967.200,967.20],[new Date(“2016-09-29”),974.000,974.00],[new Date(“2016-09-30″),974.000,974.00],]);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      970.0002
02      962.0002
↗8.000, 0.82%
03      961.0003
↗1.000, 0.10%
04      961.0000
↗0.000, 0.00%
05      970.0004
↘9.000, 0.94%
06      970.0004
→0.000, 0.00%
07      969.9999
↗0.000, 0.00%
08      964.0004
↗6.000, 0.62%
09      963.9998
↗0.001, 0.00%
10      957.9999
↗6.000, 0.62%
11      970.0001
↘12.000, 1.25%
12      969.0004
↗1.000, 0.10%
13      969.0004
→0.000, 0.00%
14      968.9998
↗0.001, 0.00%
15      963.0002
↗6.000, 0.62%
16      963.0000
↗0.000, 0.00%
17      961.9998
↗1.000, 0.10%
18      962.0005
↘0.001, 0.00%
19      975.0004
↘13.000, 1.35%
20      961.0004
↗14.000, 1.44%
21      960.9996
↗0.001, 0.00%
22      972.0001
↘11.001, 1.14%
23      971.0001
↗1.000, 0.10%
24      971.0000
↗0.000, 0.00%
25      972.0000
↘1.000, 0.10%
26      972.0004
↘0.000, 0.00%
27      972.0004
→0.000, 0.00%
28      971.9999
↗0.000, 0.00%
29      966.0003
↗6.000, 0.62%
30      965.0001
↗1.000, 0.10%
31      964.9998
↗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(“2016-08-01”),970.000,970.00],[new Date(“2016-08-02”),962.000,962.00],[new Date(“2016-08-03”),961.000,961.00],[new Date(“2016-08-04”),961.000,961.00],[new Date(“2016-08-05”),970.000,970.00],[new Date(“2016-08-06”),970.000,970.00],[new Date(“2016-08-07”),970.000,970.00],[new Date(“2016-08-08”),964.000,964.00],[new Date(“2016-08-09”),964.000,964.00],[new Date(“2016-08-10”),958.000,958.00],[new Date(“2016-08-11”),970.000,970.00],[new Date(“2016-08-12”),969.000,969.00],[new Date(“2016-08-13”),969.000,969.00],[new Date(“2016-08-14”),969.000,969.00],[new Date(“2016-08-15”),963.000,963.00],[new Date(“2016-08-16”),963.000,963.00],[new Date(“2016-08-17”),962.000,962.00],[new Date(“2016-08-18”),962.000,962.00],[new Date(“2016-08-19”),975.000,975.00],[new Date(“2016-08-20”),961.000,961.00],[new Date(“2016-08-21”),961.000,961.00],[new Date(“2016-08-22”),972.000,972.00],[new Date(“2016-08-23”),971.000,971.00],[new Date(“2016-08-24”),971.000,971.00],[new Date(“2016-08-25”),972.000,972.00],[new Date(“2016-08-26”),972.000,972.00],[new Date(“2016-08-27”),972.000,972.00],[new Date(“2016-08-28”),972.000,972.00],[new Date(“2016-08-29”),966.000,966.00],[new Date(“2016-08-30”),965.000,965.00],[new Date(“2016-08-31″),965.000,965.00],]);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      943.0710
02      943.1425
↘0.072, 0.01%
03      943.1425
→0.000, 0.00%
04      943.5000
↘0.357, 0.04%
05      943.5000
→0.000, 0.00%
06      947.5875
↘4.087, 0.43%
07      944.8460
↗2.741, 0.29%
08      947.1540
↘2.308, 0.24%
09      944.9733
↗2.181, 0.23%
10      946.0000
↘1.027, 0.11%
11      948.0000
↘2.000, 0.21%
12      943.7510
↗4.249, 0.45%
13      946.2525
↘2.502, 0.27%
14      946.1130
↗0.139, 0.01%
15      936.0004
↗10.113, 1.07%
16      936.0004
→0.000, 0.00%
17      935.9998
↗0.001, 0.00%
18      937.0002
↘1.000, 0.11%
19      936.9999
↗0.000, 0.00%
20      937.0001
↘0.000, 0.00%
21      945.0006
↘8.001, 0.85%
22      939.0004
↗6.000, 0.63%
23      939.0004
→0.000, 0.00%
24      938.9999
↗0.000, 0.00%
25      945.0001
↘6.000, 0.64%
26      944.0002
↗1.000, 0.11%
27      943.0002
↗1.000, 0.11%
28      943.0002
↗0.000, 0.00%
29      972.5039
↘29.504, 3.13%
30      972.5039
→0.000, 0.00%
31      972.5005
↗0.003, 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”),943.071,943.07],[new Date(“2016-07-02”),943.143,943.14],[new Date(“2016-07-03”),943.143,943.14],[new Date(“2016-07-04”),943.500,943.50],[new Date(“2016-07-05”),943.500,943.50],[new Date(“2016-07-06”),947.588,947.59],[new Date(“2016-07-07”),944.846,944.85],[new Date(“2016-07-08”),947.154,947.15],[new Date(“2016-07-09”),944.973,944.97],[new Date(“2016-07-10”),946.000,946.00],[new Date(“2016-07-11”),948.000,948.00],[new Date(“2016-07-12”),943.751,943.75],[new Date(“2016-07-13”),946.253,946.25],[new Date(“2016-07-14”),946.113,946.11],[new Date(“2016-07-15”),936.000,936.00],[new Date(“2016-07-16”),936.000,936.00],[new Date(“2016-07-17”),936.000,936.00],[new Date(“2016-07-18”),937.000,937.00],[new Date(“2016-07-19”),937.000,937.00],[new Date(“2016-07-20”),937.000,937.00],[new Date(“2016-07-21”),945.001,945.00],[new Date(“2016-07-22”),939.000,939.00],[new Date(“2016-07-23”),939.000,939.00],[new Date(“2016-07-24”),939.000,939.00],[new Date(“2016-07-25”),945.000,945.00],[new Date(“2016-07-26”),944.000,944.00],[new Date(“2016-07-27”),943.000,943.00],[new Date(“2016-07-28”),943.000,943.00],[new Date(“2016-07-29”),972.504,972.50],[new Date(“2016-07-30”),972.504,972.50],[new Date(“2016-07-31″),972.501,972.50],]);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_7’));
chart.draw(data, options);
}

June, 2016

01      929.3525
02      926.3525
↗3.000, 0.32%
03      926.5910
↘0.239, 0.03%
04      926.9935
↘0.403, 0.04%
05      926.9935
→0.000, 0.00%
06      928.5000
↘1.506, 0.16%
07      928.2250
↗0.275, 0.03%
08      929.6180
↘1.393, 0.15%
09      927.2745
↗2.344, 0.25%
10      927.8640
↘0.590, 0.06%
11      910.7235
↗17.141, 1.85%
12      928.5443
↘17.821, 1.96%
13      928.5000
↗0.044, 0.00%
14      927.8330
↗0.667, 0.07%
15      928.0845
↘0.252, 0.03%
16      928.2350
↘0.150, 0.02%
17      929.7350
↘1.500, 0.16%
18      943.0165
↘13.281, 1.43%
19      955.0165
↘12.000, 1.27%
20      955.5165
↘0.500, 0.05%
21      956.6765
↘1.160, 0.12%
22      960.2933
↘3.617, 0.38%
23      960.2933
→0.000, 0.00%
24      959.7933
↗0.500, 0.05%
25      960.4365
↘0.643, 0.07%
26      960.0000
↗0.437, 0.05%
27      958.0000
↗2.000, 0.21%
28      955.0785
↗2.922, 0.30%
29      955.6575
↘0.579, 0.06%
30      945.4015
↗10.256, 1.07%
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”),929.353,929.35],[new Date(“2016-06-02”),926.353,926.35],[new Date(“2016-06-03”),926.591,926.59],[new Date(“2016-06-04”),926.994,926.99],[new Date(“2016-06-05”),926.994,926.99],[new Date(“2016-06-06”),928.500,928.50],[new Date(“2016-06-07”),928.225,928.23],[new Date(“2016-06-08”),929.618,929.62],[new Date(“2016-06-09”),927.275,927.27],[new Date(“2016-06-10”),927.864,927.86],[new Date(“2016-06-11”),910.724,910.72],[new Date(“2016-06-12”),928.544,928.54],[new Date(“2016-06-13”),928.500,928.50],[new Date(“2016-06-14”),927.833,927.83],[new Date(“2016-06-15”),928.085,928.08],[new Date(“2016-06-16”),928.235,928.24],[new Date(“2016-06-17”),929.735,929.74],[new Date(“2016-06-18”),943.017,943.02],[new Date(“2016-06-19”),955.017,955.02],[new Date(“2016-06-20”),955.517,955.52],[new Date(“2016-06-21”),956.677,956.68],[new Date(“2016-06-22”),960.293,960.29],[new Date(“2016-06-23”),960.293,960.29],[new Date(“2016-06-24”),959.793,959.79],[new Date(“2016-06-25”),960.437,960.44],[new Date(“2016-06-26”),960.000,960.00],[new Date(“2016-06-27”),958.000,958.00],[new Date(“2016-06-28”),955.079,955.08],[new Date(“2016-06-29”),955.658,955.66],[new Date(“2016-06-30″),945.402,945.40],]);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      929.0000
02      929.0000
→0.000, 0.00%
03      929.0000
→0.000, 0.00%
04      929.5000
↘0.500, 0.05%
05      928.7140
↗0.786, 0.08%
06      927.3830
↗1.331, 0.14%
07      927.3138
↗0.069, 0.01%
08      927.0000
↗0.314, 0.03%
09      927.0000
→0.000, 0.00%
10      925.7040
↗1.296, 0.14%
11      928.6500
↘2.946, 0.32%
12      929.6470
↘0.997, 0.11%
13      926.1673
↗3.480, 0.37%
14      926.3873
↘0.220, 0.02%
15      926.2500
↗0.137, 0.01%
16      927.2500
↘1.000, 0.11%
17      928.7500
↘1.500, 0.16%
18      926.7500
↗2.000, 0.22%
19      928.2500
↘1.500, 0.16%
20      926.4210
↗1.829, 0.20%
21      926.0445
↗0.377, 0.04%
22      926.0445
→0.000, 0.00%
23      928.2500
↘2.206, 0.24%
24      929.0140
↘0.764, 0.08%
25      929.1613
↘0.147, 0.02%
26      929.3860
↘0.225, 0.02%
27      928.8973
↗0.489, 0.05%
28      928.4608
↗0.437, 0.05%
29      928.0000
↗0.461, 0.05%
30      926.5000
↗1.500, 0.16%
31      928.7500
↘2.250, 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(“2016-05-01”),929.000,929.00],[new Date(“2016-05-02”),929.000,929.00],[new Date(“2016-05-03”),929.000,929.00],[new Date(“2016-05-04”),929.500,929.50],[new Date(“2016-05-05”),928.714,928.71],[new Date(“2016-05-06”),927.383,927.38],[new Date(“2016-05-07”),927.314,927.31],[new Date(“2016-05-08”),927.000,927.00],[new Date(“2016-05-09”),927.000,927.00],[new Date(“2016-05-10”),925.704,925.70],[new Date(“2016-05-11”),928.650,928.65],[new Date(“2016-05-12”),929.647,929.65],[new Date(“2016-05-13”),926.167,926.17],[new Date(“2016-05-14”),926.387,926.39],[new Date(“2016-05-15”),926.250,926.25],[new Date(“2016-05-16”),927.250,927.25],[new Date(“2016-05-17”),928.750,928.75],[new Date(“2016-05-18”),926.750,926.75],[new Date(“2016-05-19”),928.250,928.25],[new Date(“2016-05-20”),926.421,926.42],[new Date(“2016-05-21”),926.045,926.04],[new Date(“2016-05-22”),926.045,926.04],[new Date(“2016-05-23”),928.250,928.25],[new Date(“2016-05-24”),929.014,929.01],[new Date(“2016-05-25”),929.161,929.16],[new Date(“2016-05-26”),929.386,929.39],[new Date(“2016-05-27”),928.897,928.90],[new Date(“2016-05-28”),928.461,928.46],[new Date(“2016-05-29”),928.000,928.00],[new Date(“2016-05-30”),926.500,926.50],[new Date(“2016-05-31″),928.750,928.75],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2016

01      928.9990
02      928.6645
↗0.335, 0.04%
03      928.6645
→0.000, 0.00%
04      928.0000
↗0.664, 0.07%
05      929.9150
↘1.915, 0.21%
06      928.4140
↗1.501, 0.16%
07      929.1030
↘0.689, 0.07%
08      928.8100
↗0.293, 0.03%
09      926.0440
↗2.766, 0.30%
10      925.5000
↗0.544, 0.06%
11      925.0000
↗0.500, 0.05%
12      929.1985
↘4.198, 0.45%
13      928.3948
↗0.804, 0.09%
14      928.2990
↗0.096, 0.01%
15      928.1230
↗0.176, 0.02%
16      928.0485
↗0.075, 0.01%
17      928.0000
↗0.048, 0.01%
18      928.0000
→0.000, 0.00%
19      928.6023
↘0.602, 0.06%
20      926.3523
↗2.250, 0.24%
21      928.6415
↘2.289, 0.25%
22      927.0655
↗1.576, 0.17%
23      928.9510
↘1.885, 0.20%
24      928.5000
↗0.451, 0.05%
25      928.5000
→0.000, 0.00%
26      926.5000
↗2.000, 0.22%
27      928.2065
↘1.707, 0.18%
28      927.4215
↗0.785, 0.08%
29      928.8150
↘1.394, 0.15%
30      928.5050
↗0.310, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-04-01”),928.999,929.00],[new Date(“2016-04-02”),928.665,928.66],[new Date(“2016-04-03”),928.665,928.66],[new Date(“2016-04-04”),928.000,928.00],[new Date(“2016-04-05”),929.915,929.92],[new Date(“2016-04-06”),928.414,928.41],[new Date(“2016-04-07”),929.103,929.10],[new Date(“2016-04-08”),928.810,928.81],[new Date(“2016-04-09”),926.044,926.04],[new Date(“2016-04-10”),925.500,925.50],[new Date(“2016-04-11”),925.000,925.00],[new Date(“2016-04-12”),929.199,929.20],[new Date(“2016-04-13”),928.395,928.39],[new Date(“2016-04-14”),928.299,928.30],[new Date(“2016-04-15”),928.123,928.12],[new Date(“2016-04-16”),928.049,928.05],[new Date(“2016-04-17”),928.000,928.00],[new Date(“2016-04-18”),928.000,928.00],[new Date(“2016-04-19”),928.602,928.60],[new Date(“2016-04-20”),926.352,926.35],[new Date(“2016-04-21”),928.642,928.64],[new Date(“2016-04-22”),927.066,927.07],[new Date(“2016-04-23”),928.951,928.95],[new Date(“2016-04-24”),928.500,928.50],[new Date(“2016-04-25”),928.500,928.50],[new Date(“2016-04-26”),926.500,926.50],[new Date(“2016-04-27”),928.207,928.21],[new Date(“2016-04-28”),927.422,927.42],[new Date(“2016-04-29”),928.815,928.82],[new Date(“2016-04-30″),928.505,928.51],]);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      923.1055
02      925.7645
↘2.659, 0.29%
03      926.2830
↘0.519, 0.06%
04      925.2525
↗1.030, 0.11%
05      925.3680
↘0.115, 0.01%
06      925.3680
→0.000, 0.00%
07      926.5000
↘1.132, 0.12%
08      928.5000
↘2.000, 0.22%
09      928.0000
↗0.500, 0.05%
10      928.0000
→0.000, 0.00%
11      928.5000
↘0.500, 0.05%
12      928.5000
→0.000, 0.00%
13      928.5000
→0.000, 0.00%
14      928.5000
→0.000, 0.00%
15      925.3650
↗3.135, 0.34%
16      927.4600
↘2.095, 0.23%
17      927.7700
↘0.310, 0.03%
18      928.3293
↘0.559, 0.06%
19      928.2915
↗0.038, 0.00%
20      928.0000
↗0.292, 0.03%
21      927.5000
↗0.500, 0.05%
22      927.3725
↗0.128, 0.01%
23      926.6190
↗0.753, 0.08%
24      926.0030
↗0.616, 0.07%
25      926.4980
↘0.495, 0.05%
26      926.4948
↗0.003, 0.00%
27      926.5000
↘0.005, 0.00%
28      925.5000
↗1.000, 0.11%
29      927.5425
↘2.043, 0.22%
30      926.0180
↗1.524, 0.16%
31      926.7355
↘0.717, 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(“2016-03-01”),923.106,923.11],[new Date(“2016-03-02”),925.765,925.76],[new Date(“2016-03-03”),926.283,926.28],[new Date(“2016-03-04”),925.253,925.25],[new Date(“2016-03-05”),925.368,925.37],[new Date(“2016-03-06”),925.368,925.37],[new Date(“2016-03-07”),926.500,926.50],[new Date(“2016-03-08”),928.500,928.50],[new Date(“2016-03-09”),928.000,928.00],[new Date(“2016-03-10”),928.000,928.00],[new Date(“2016-03-11”),928.500,928.50],[new Date(“2016-03-12”),928.500,928.50],[new Date(“2016-03-13”),928.500,928.50],[new Date(“2016-03-14”),928.500,928.50],[new Date(“2016-03-15”),925.365,925.37],[new Date(“2016-03-16”),927.460,927.46],[new Date(“2016-03-17”),927.770,927.77],[new Date(“2016-03-18”),928.329,928.33],[new Date(“2016-03-19”),928.292,928.29],[new Date(“2016-03-20”),928.000,928.00],[new Date(“2016-03-21”),927.500,927.50],[new Date(“2016-03-22”),927.373,927.37],[new Date(“2016-03-23”),926.619,926.62],[new Date(“2016-03-24”),926.003,926.00],[new Date(“2016-03-25”),926.498,926.50],[new Date(“2016-03-26”),926.495,926.49],[new Date(“2016-03-27”),926.500,926.50],[new Date(“2016-03-28”),925.500,925.50],[new Date(“2016-03-29”),927.543,927.54],[new Date(“2016-03-30”),926.018,926.02],[new Date(“2016-03-31″),926.736,926.74],]);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      928.8780
02      928.5810
↗0.297, 0.03%
03      928.0700
↗0.511, 0.06%
04      928.9450
↘0.875, 0.09%
05      928.4545
↗0.490, 0.05%
06      929.0258
↘0.571, 0.06%
07      929.5000
↘0.474, 0.05%
08      929.5000
→0.000, 0.00%
09      928.7025
↗0.798, 0.09%
10      929.1245
↘0.422, 0.05%
11      928.2160
↗0.909, 0.10%
12      928.6840
↘0.468, 0.05%
13      928.3525
↗0.332, 0.04%
14      927.5000
↗0.852, 0.09%
15      927.0000
↗0.500, 0.05%
16      926.5000
↗0.500, 0.05%
17      928.3583
↘1.858, 0.20%
18      928.3543
↗0.004, 0.00%
19      928.1193
↗0.235, 0.03%
20      928.3170
↘0.198, 0.02%
21      928.3170
→0.000, 0.00%
22      929.8170
↘1.500, 0.16%
23      928.2198
↗1.597, 0.17%
24      928.5103
↘0.291, 0.03%
25      927.8225
↗0.688, 0.07%
26      928.1125
↘0.290, 0.03%
27      928.0290
↗0.083, 0.01%
28      928.0290
→0.000, 0.00%
29      925.7790
↗2.250, 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(“2016-02-01”),928.878,928.88],[new Date(“2016-02-02”),928.581,928.58],[new Date(“2016-02-03”),928.070,928.07],[new Date(“2016-02-04”),928.945,928.95],[new Date(“2016-02-05”),928.455,928.45],[new Date(“2016-02-06”),929.026,929.03],[new Date(“2016-02-07”),929.500,929.50],[new Date(“2016-02-08”),929.500,929.50],[new Date(“2016-02-09”),928.703,928.70],[new Date(“2016-02-10”),929.125,929.12],[new Date(“2016-02-11”),928.216,928.22],[new Date(“2016-02-12”),928.684,928.68],[new Date(“2016-02-13”),928.353,928.35],[new Date(“2016-02-14”),927.500,927.50],[new Date(“2016-02-15”),927.000,927.00],[new Date(“2016-02-16”),926.500,926.50],[new Date(“2016-02-17”),928.358,928.36],[new Date(“2016-02-18”),928.354,928.35],[new Date(“2016-02-19”),928.119,928.12],[new Date(“2016-02-20”),928.317,928.32],[new Date(“2016-02-21”),928.317,928.32],[new Date(“2016-02-22”),929.817,929.82],[new Date(“2016-02-23”),928.220,928.22],[new Date(“2016-02-24”),928.510,928.51],[new Date(“2016-02-25”),927.823,927.82],[new Date(“2016-02-26”),928.113,928.11],[new Date(“2016-02-27”),928.029,928.03],[new Date(“2016-02-28”),928.029,928.03],[new Date(“2016-02-29″),925.779,925.78],]);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      924.3843
02      924.3843
→0.000, 0.00%
03      924.3843
→0.000, 0.00%
04      926.1343
↘1.750, 0.19%
05      927.5803
↘1.446, 0.16%
06      927.3420
↗0.238, 0.03%
07      926.7195
↗0.622, 0.07%
08      925.5818
↗1.138, 0.12%
09      925.7500
↘0.168, 0.02%
10      925.7500
→0.000, 0.00%
11      925.7500
→0.000, 0.00%
12      925.7500
→0.000, 0.00%
13      927.7500
↘2.000, 0.22%
14      927.7500
→0.000, 0.00%
15      925.2500
↗2.500, 0.27%
16      925.2500
→0.000, 0.00%
17      925.2500
→0.000, 0.00%
18      927.7500
↘2.500, 0.27%
19      928.0000
↘0.250, 0.03%
20      927.7365
↗0.264, 0.03%
21      928.8850
↘1.149, 0.12%
22      928.1113
↗0.774, 0.08%
23      928.0788
↗0.033, 0.00%
24      928.0000
↗0.079, 0.01%
25      926.0000
↗2.000, 0.22%
26      928.4058
↘2.406, 0.26%
27      926.6185
↗1.787, 0.19%
28      928.2955
↘1.677, 0.18%
29      928.0785
↗0.217, 0.02%
30      928.3780
↘0.300, 0.03%
31      928.3780
→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(“2016-01-01”),924.384,924.38],[new Date(“2016-01-02”),924.384,924.38],[new Date(“2016-01-03”),924.384,924.38],[new Date(“2016-01-04”),926.134,926.13],[new Date(“2016-01-05”),927.580,927.58],[new Date(“2016-01-06”),927.342,927.34],[new Date(“2016-01-07”),926.720,926.72],[new Date(“2016-01-08”),925.582,925.58],[new Date(“2016-01-09”),925.750,925.75],[new Date(“2016-01-10”),925.750,925.75],[new Date(“2016-01-11”),925.750,925.75],[new Date(“2016-01-12”),925.750,925.75],[new Date(“2016-01-13”),927.750,927.75],[new Date(“2016-01-14”),927.750,927.75],[new Date(“2016-01-15”),925.250,925.25],[new Date(“2016-01-16”),925.250,925.25],[new Date(“2016-01-17”),925.250,925.25],[new Date(“2016-01-18”),927.750,927.75],[new Date(“2016-01-19”),928.000,928.00],[new Date(“2016-01-20”),927.737,927.74],[new Date(“2016-01-21”),928.885,928.89],[new Date(“2016-01-22”),928.111,928.11],[new Date(“2016-01-23”),928.079,928.08],[new Date(“2016-01-24”),928.000,928.00],[new Date(“2016-01-25”),926.000,926.00],[new Date(“2016-01-26”),928.406,928.41],[new Date(“2016-01-27”),926.619,926.62],[new Date(“2016-01-28”),928.296,928.30],[new Date(“2016-01-29”),928.079,928.08],[new Date(“2016-01-30”),928.378,928.38],[new Date(“2016-01-31″),928.378,928.38],]);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);
}