Chinese Yuan CNY 2016 Conversion Rates

  • Opening Value is 6.493760 CNY per Dollar
  • Closing Value is 6.942904 CNY per Dollar
  • Change in Value during 2016 is 0.4491 which is 6.92%
  • Best Performance is on 2016-03-31 with 6.453250 CNY per Dollar
  • Lowest Performance is on 2016-12-18 with 6.959012 CNY per Dollar
  • Average Value is 6.6416 CNY per Dollar
  • Swing Between the higest and the lowest is 0.5058 per Dollar, that is 7.79% compared to the opening value.

USD to CNY Conversion Rates – 12 months

Date 1 USD =
2016-12-31 6.9429 CNY
2016-11-30 6.8837 CNY
2016-10-31 6.7735 CNY
2016-09-30 6.6685 CNY
2016-08-31 6.6775 CNY
2016-07-31 6.6370 CNY
2016-06-30 6.6488 CNY
2016-05-31 6.5833 CNY
2016-04-30 6.4763 CNY
2016-03-31 6.4533 CNY
2016-02-29 6.5492 CNY
2016-01-31 6.5765 CNY
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”),6.943,6.94],[new Date(“2016-11-30”),6.884,6.88],[new Date(“2016-10-31”),6.773,6.77],[new Date(“2016-09-30”),6.669,6.67],[new Date(“2016-08-31”),6.677,6.68],[new Date(“2016-07-31”),6.637,6.64],[new Date(“2016-06-30”),6.649,6.65],[new Date(“2016-05-31”),6.583,6.58],[new Date(“2016-04-30”),6.476,6.48],[new Date(“2016-03-31”),6.453,6.45],[new Date(“2016-02-29”),6.549,6.55],[new Date(“2016-01-31”),6.577,6.58],]);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      6.8829
02      6.8830
↘0.000, 0.00%
03      6.8830
→0.000, 0.00%
04      6.8830
↗0.000, 0.00%
05      6.8791
↗0.004, 0.06%
06      6.8790
↗0.000, 0.00%
07      6.8780
↗0.001, 0.02%
08      6.8770
↗0.001, 0.01%
09      6.9041
↘0.027, 0.39%
10      6.9041
→0.000, 0.00%
11      6.9041
↗0.000, 0.00%
12      6.9044
↘0.000, 0.00%
13      6.8983
↗0.006, 0.09%
14      6.9024
↘0.004, 0.06%
15      6.9409
↘0.038, 0.56%
16      6.9569
↘0.016, 0.23%
17      6.9569
→0.000, 0.00%
18      6.9590
↘0.002, 0.03%
19      6.9505
↗0.009, 0.12%
20      6.9469
↗0.004, 0.05%
21      6.9389
↗0.008, 0.12%
22      6.9472
↘0.008, 0.12%
23      6.9431
↗0.004, 0.06%
24      6.9431
→0.000, 0.00%
25      6.9431
↗0.000, 0.00%
26      6.9479
↘0.005, 0.07%
27      6.9490
↘0.001, 0.02%
28      6.9558
↘0.007, 0.10%
29      6.9534
↗0.002, 0.03%
30      6.9429
↗0.010, 0.15%
31      6.9429
→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”),6.883,6.88],[new Date(“2016-12-02”),6.883,6.88],[new Date(“2016-12-03”),6.883,6.88],[new Date(“2016-12-04”),6.883,6.88],[new Date(“2016-12-05”),6.879,6.88],[new Date(“2016-12-06”),6.879,6.88],[new Date(“2016-12-07”),6.878,6.88],[new Date(“2016-12-08”),6.877,6.88],[new Date(“2016-12-09”),6.904,6.90],[new Date(“2016-12-10”),6.904,6.90],[new Date(“2016-12-11”),6.904,6.90],[new Date(“2016-12-12”),6.904,6.90],[new Date(“2016-12-13”),6.898,6.90],[new Date(“2016-12-14”),6.902,6.90],[new Date(“2016-12-15”),6.941,6.94],[new Date(“2016-12-16”),6.957,6.96],[new Date(“2016-12-17”),6.957,6.96],[new Date(“2016-12-18”),6.959,6.96],[new Date(“2016-12-19”),6.951,6.95],[new Date(“2016-12-20”),6.947,6.95],[new Date(“2016-12-21”),6.939,6.94],[new Date(“2016-12-22”),6.947,6.95],[new Date(“2016-12-23”),6.943,6.94],[new Date(“2016-12-24”),6.943,6.94],[new Date(“2016-12-25”),6.943,6.94],[new Date(“2016-12-26”),6.948,6.95],[new Date(“2016-12-27”),6.949,6.95],[new Date(“2016-12-28”),6.956,6.96],[new Date(“2016-12-29”),6.953,6.95],[new Date(“2016-12-30”),6.943,6.94],[new Date(“2016-12-31″),6.943,6.94],]);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      6.7695
02      6.7544
↗0.015, 0.22%
03      6.7610
↘0.007, 0.10%
04      6.7535
↗0.008, 0.11%
05      6.7535
→0.000, 0.00%
06      6.7540
↘0.001, 0.01%
07      6.7740
↘0.020, 0.30%
08      6.7838
↘0.010, 0.14%
09      6.7769
↗0.007, 0.10%
10      6.7969
↘0.020, 0.30%
11      6.8090
↘0.012, 0.18%
12      6.8090
→0.000, 0.00%
13      6.8068
↗0.002, 0.03%
14      6.8445
↘0.038, 0.55%
15      6.8556
↘0.011, 0.16%
16      6.8780
↘0.022, 0.33%
17      6.8694
↗0.009, 0.13%
18      6.8873
↘0.018, 0.26%
19      6.8873
→0.000, 0.00%
20      6.8873
↗0.000, 0.00%
21      6.8918
↘0.005, 0.07%
22      6.8880
↗0.004, 0.06%
23      6.9048
↘0.017, 0.24%
24      6.9194
↘0.015, 0.21%
25      6.9129
↗0.006, 0.09%
26      6.9129
→0.000, 0.00%
27      6.9175
↘0.005, 0.07%
28      6.9052
↗0.012, 0.18%
29      6.8933
↗0.012, 0.17%
30      6.8837
↗0.010, 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(“2016-11-01”),6.769,6.77],[new Date(“2016-11-02”),6.754,6.75],[new Date(“2016-11-03”),6.761,6.76],[new Date(“2016-11-04”),6.754,6.75],[new Date(“2016-11-05”),6.754,6.75],[new Date(“2016-11-06”),6.754,6.75],[new Date(“2016-11-07”),6.774,6.77],[new Date(“2016-11-08”),6.784,6.78],[new Date(“2016-11-09”),6.777,6.78],[new Date(“2016-11-10”),6.797,6.80],[new Date(“2016-11-11”),6.809,6.81],[new Date(“2016-11-12”),6.809,6.81],[new Date(“2016-11-13”),6.807,6.81],[new Date(“2016-11-14”),6.844,6.84],[new Date(“2016-11-15”),6.856,6.86],[new Date(“2016-11-16”),6.878,6.88],[new Date(“2016-11-17”),6.869,6.87],[new Date(“2016-11-18”),6.887,6.89],[new Date(“2016-11-19”),6.887,6.89],[new Date(“2016-11-20”),6.887,6.89],[new Date(“2016-11-21”),6.892,6.89],[new Date(“2016-11-22”),6.888,6.89],[new Date(“2016-11-23”),6.905,6.90],[new Date(“2016-11-24”),6.919,6.92],[new Date(“2016-11-25”),6.913,6.91],[new Date(“2016-11-26”),6.913,6.91],[new Date(“2016-11-27”),6.918,6.92],[new Date(“2016-11-28”),6.905,6.91],[new Date(“2016-11-29”),6.893,6.89],[new Date(“2016-11-30″),6.884,6.88],]);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      6.6685
02      6.6685
↗0.000, 0.00%
03      6.6685
↗0.000, 0.00%
04      6.6685
→0.000, 0.00%
05      6.6685
↘0.000, 0.00%
06      6.6685
↗0.000, 0.00%
07      6.6684
↗0.000, 0.00%
08      6.6684
→0.000, 0.00%
09      6.6684
↗0.000, 0.00%
10      6.7055
↘0.037, 0.56%
11      6.7180
↘0.013, 0.19%
12      6.7180
↗0.000, 0.00%
13      6.7269
↘0.009, 0.13%
14      6.7247
↗0.002, 0.03%
15      6.7247
→0.000, 0.00%
16      6.7277
↘0.003, 0.04%
17      6.7350
↘0.007, 0.11%
18      6.7399
↘0.005, 0.07%
19      6.7370
↗0.003, 0.04%
20      6.7439
↘0.007, 0.10%
21      6.7654
↘0.022, 0.32%
22      6.7654
→0.000, 0.00%
23      6.7654
↗0.000, 0.00%
24      6.7723
↘0.007, 0.10%
25      6.7780
↘0.006, 0.08%
26      6.7705
↗0.008, 0.11%
27      6.7819
↘0.011, 0.17%
28      6.7758
↗0.006, 0.09%
29      6.7758
→0.000, 0.00%
30      6.7760
↘0.000, 0.00%
31      6.7735
↗0.003, 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(“2016-10-01”),6.669,6.67],[new Date(“2016-10-02”),6.669,6.67],[new Date(“2016-10-03”),6.668,6.67],[new Date(“2016-10-04”),6.668,6.67],[new Date(“2016-10-05”),6.669,6.67],[new Date(“2016-10-06”),6.668,6.67],[new Date(“2016-10-07”),6.668,6.67],[new Date(“2016-10-08”),6.668,6.67],[new Date(“2016-10-09”),6.668,6.67],[new Date(“2016-10-10”),6.706,6.71],[new Date(“2016-10-11”),6.718,6.72],[new Date(“2016-10-12”),6.718,6.72],[new Date(“2016-10-13”),6.727,6.73],[new Date(“2016-10-14”),6.725,6.72],[new Date(“2016-10-15”),6.725,6.72],[new Date(“2016-10-16”),6.728,6.73],[new Date(“2016-10-17”),6.735,6.74],[new Date(“2016-10-18”),6.740,6.74],[new Date(“2016-10-19”),6.737,6.74],[new Date(“2016-10-20”),6.744,6.74],[new Date(“2016-10-21”),6.765,6.77],[new Date(“2016-10-22”),6.765,6.77],[new Date(“2016-10-23”),6.765,6.77],[new Date(“2016-10-24”),6.772,6.77],[new Date(“2016-10-25”),6.778,6.78],[new Date(“2016-10-26”),6.770,6.77],[new Date(“2016-10-27”),6.782,6.78],[new Date(“2016-10-28”),6.776,6.78],[new Date(“2016-10-29”),6.776,6.78],[new Date(“2016-10-30”),6.776,6.78],[new Date(“2016-10-31″),6.773,6.77],]);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_10’));
chart.draw(data, options);
}

September, 2016

01      6.6713
02      6.6794
↘0.008, 0.12%
03      6.6794
→0.000, 0.00%
04      6.6790
↗0.000, 0.01%
05      6.6760
↗0.003, 0.05%
06      6.6722
↗0.004, 0.06%
07      6.6601
↗0.012, 0.18%
08      6.6640
↘0.004, 0.06%
09      6.6640
↘0.000, 0.00%
10      6.6640
→0.000, 0.00%
11      6.6640
↗0.000, 0.00%
12      6.6788
↘0.015, 0.22%
13      6.6782
↗0.001, 0.01%
14      6.6707
↗0.008, 0.11%
15      6.6707
↘0.000, 0.00%
16      6.6705
↗0.000, 0.00%
17      6.6705
→0.000, 0.00%
18      6.6705
↗0.000, 0.00%
19      6.6650
↗0.006, 0.08%
20      6.6703
↘0.005, 0.08%
21      6.6695
↗0.001, 0.01%
22      6.6630
↗0.006, 0.10%
23      6.6688
↘0.006, 0.09%
24      6.6688
→0.000, 0.00%
25      6.6688
↗0.000, 0.00%
26      6.6683
↗0.001, 0.01%
27      6.6685
↘0.000, 0.00%
28      6.6730
↘0.005, 0.07%
29      6.6650
↗0.008, 0.12%
30      6.6685
↘0.004, 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(“2016-09-01”),6.671,6.67],[new Date(“2016-09-02”),6.679,6.68],[new Date(“2016-09-03”),6.679,6.68],[new Date(“2016-09-04”),6.679,6.68],[new Date(“2016-09-05”),6.676,6.68],[new Date(“2016-09-06”),6.672,6.67],[new Date(“2016-09-07”),6.660,6.66],[new Date(“2016-09-08”),6.664,6.66],[new Date(“2016-09-09”),6.664,6.66],[new Date(“2016-09-10”),6.664,6.66],[new Date(“2016-09-11”),6.664,6.66],[new Date(“2016-09-12”),6.679,6.68],[new Date(“2016-09-13”),6.678,6.68],[new Date(“2016-09-14”),6.671,6.67],[new Date(“2016-09-15”),6.671,6.67],[new Date(“2016-09-16”),6.671,6.67],[new Date(“2016-09-17”),6.671,6.67],[new Date(“2016-09-18”),6.671,6.67],[new Date(“2016-09-19”),6.665,6.66],[new Date(“2016-09-20”),6.670,6.67],[new Date(“2016-09-21”),6.670,6.67],[new Date(“2016-09-22”),6.663,6.66],[new Date(“2016-09-23”),6.669,6.67],[new Date(“2016-09-24”),6.669,6.67],[new Date(“2016-09-25”),6.669,6.67],[new Date(“2016-09-26”),6.668,6.67],[new Date(“2016-09-27”),6.669,6.67],[new Date(“2016-09-28”),6.673,6.67],[new Date(“2016-09-29”),6.665,6.66],[new Date(“2016-09-30″),6.669,6.67],]);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      6.6423
02      6.6247
↗0.018, 0.26%
03      6.6320
↘0.007, 0.11%
04      6.6388
↘0.007, 0.10%
05      6.6530
↘0.014, 0.21%
06      6.6530
→0.000, 0.00%
07      6.6530
↗0.000, 0.00%
08      6.6605
↘0.008, 0.11%
09      6.6530
↗0.007, 0.11%
10      6.6345
↗0.019, 0.28%
11      6.6390
↘0.005, 0.07%
12      6.6324
↗0.007, 0.10%
13      6.6324
→0.000, 0.00%
14      6.6324
↗0.000, 0.00%
15      6.6362
↘0.004, 0.06%
16      6.6240
↗0.012, 0.18%
17      6.6328
↘0.009, 0.13%
18      6.6299
↗0.003, 0.04%
19      6.6515
↘0.022, 0.33%
20      6.6515
→0.000, 0.00%
21      6.6515
↗0.000, 0.00%
22      6.6473
↗0.004, 0.06%
23      6.6378
↗0.009, 0.14%
24      6.6545
↘0.017, 0.25%
25      6.6560
↘0.002, 0.02%
26      6.6688
↘0.013, 0.19%
27      6.6688
→0.000, 0.00%
28      6.6688
↗0.000, 0.00%
29      6.6775
↘0.009, 0.13%
30      6.6778
↘0.000, 0.00%
31      6.6775
↗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”),6.642,6.64],[new Date(“2016-08-02”),6.625,6.62],[new Date(“2016-08-03”),6.632,6.63],[new Date(“2016-08-04”),6.639,6.64],[new Date(“2016-08-05”),6.653,6.65],[new Date(“2016-08-06”),6.653,6.65],[new Date(“2016-08-07”),6.653,6.65],[new Date(“2016-08-08”),6.661,6.66],[new Date(“2016-08-09”),6.653,6.65],[new Date(“2016-08-10”),6.635,6.63],[new Date(“2016-08-11”),6.639,6.64],[new Date(“2016-08-12”),6.632,6.63],[new Date(“2016-08-13”),6.632,6.63],[new Date(“2016-08-14”),6.632,6.63],[new Date(“2016-08-15”),6.636,6.64],[new Date(“2016-08-16”),6.624,6.62],[new Date(“2016-08-17”),6.633,6.63],[new Date(“2016-08-18”),6.630,6.63],[new Date(“2016-08-19”),6.652,6.65],[new Date(“2016-08-20”),6.652,6.65],[new Date(“2016-08-21”),6.651,6.65],[new Date(“2016-08-22”),6.647,6.65],[new Date(“2016-08-23”),6.638,6.64],[new Date(“2016-08-24”),6.655,6.65],[new Date(“2016-08-25”),6.656,6.66],[new Date(“2016-08-26”),6.669,6.67],[new Date(“2016-08-27”),6.669,6.67],[new Date(“2016-08-28”),6.669,6.67],[new Date(“2016-08-29”),6.678,6.68],[new Date(“2016-08-30”),6.678,6.68],[new Date(“2016-08-31″),6.677,6.68],]);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      6.6538
02      6.6562
↘0.002, 0.04%
03      6.6543
↗0.002, 0.03%
04      6.6601
↘0.006, 0.09%
05      6.6756
↘0.015, 0.23%
06      6.6874
↘0.012, 0.18%
07      6.6825
↗0.005, 0.07%
08      6.6880
↘0.005, 0.08%
09      6.6885
↘0.001, 0.01%
10      6.6892
↘0.001, 0.01%
11      6.6933
↘0.004, 0.06%
12      6.6934
↘0.000, 0.00%
13      6.6867
↗0.007, 0.10%
14      6.6836
↗0.003, 0.05%
15      6.6810
↗0.003, 0.04%
16      6.6810
→0.000, 0.00%
17      6.6810
↗0.000, 0.00%
18      6.7017
↘0.021, 0.31%
19      6.6940
↗0.008, 0.12%
20      6.6760
↗0.018, 0.27%
21      6.6745
↗0.002, 0.02%
22      6.6876
↘0.013, 0.20%
23      6.6876
→0.000, 0.00%
24      6.6876
↗0.000, 0.00%
25      6.6783
↗0.009, 0.14%
26      6.6690
↗0.009, 0.14%
27      6.6680
↗0.001, 0.01%
28      6.6538
↗0.014, 0.21%
29      6.6370
↗0.017, 0.25%
30      6.6370
→0.000, 0.00%
31      6.6370
↗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”),6.654,6.65],[new Date(“2016-07-02”),6.656,6.66],[new Date(“2016-07-03”),6.654,6.65],[new Date(“2016-07-04”),6.660,6.66],[new Date(“2016-07-05”),6.676,6.68],[new Date(“2016-07-06”),6.687,6.69],[new Date(“2016-07-07”),6.683,6.68],[new Date(“2016-07-08”),6.688,6.69],[new Date(“2016-07-09”),6.689,6.69],[new Date(“2016-07-10”),6.689,6.69],[new Date(“2016-07-11”),6.693,6.69],[new Date(“2016-07-12”),6.693,6.69],[new Date(“2016-07-13”),6.687,6.69],[new Date(“2016-07-14”),6.684,6.68],[new Date(“2016-07-15”),6.681,6.68],[new Date(“2016-07-16”),6.681,6.68],[new Date(“2016-07-17”),6.681,6.68],[new Date(“2016-07-18”),6.702,6.70],[new Date(“2016-07-19”),6.694,6.69],[new Date(“2016-07-20”),6.676,6.68],[new Date(“2016-07-21”),6.675,6.67],[new Date(“2016-07-22”),6.688,6.69],[new Date(“2016-07-23”),6.688,6.69],[new Date(“2016-07-24”),6.688,6.69],[new Date(“2016-07-25”),6.678,6.68],[new Date(“2016-07-26”),6.669,6.67],[new Date(“2016-07-27”),6.668,6.67],[new Date(“2016-07-28”),6.654,6.65],[new Date(“2016-07-29”),6.637,6.64],[new Date(“2016-07-30”),6.637,6.64],[new Date(“2016-07-31″),6.637,6.64],]);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      6.5790
02      6.5844
↘0.005, 0.08%
03      6.5656
↗0.019, 0.29%
04      6.5653
↗0.000, 0.01%
05      6.5636
↗0.002, 0.03%
06      6.5649
↘0.001, 0.02%
07      6.5718
↘0.007, 0.10%
08      6.5660
↗0.006, 0.09%
09      6.5638
↗0.002, 0.03%
10      6.5625
↗0.001, 0.02%
11      6.5624
↗0.000, 0.00%
12      6.5629
↘0.000, 0.01%
13      6.5817
↘0.019, 0.29%
14      6.5941
↘0.012, 0.19%
15      6.5837
↗0.010, 0.16%
16      6.5908
↘0.007, 0.11%
17      6.5843
↗0.007, 0.10%
18      6.5849
↘0.001, 0.01%
19      6.5775
↗0.007, 0.11%
20      6.5815
↘0.004, 0.06%
21      6.5926
↘0.011, 0.17%
22      6.5778
↗0.015, 0.22%
23      6.5805
↘0.003, 0.04%
24      6.5950
↘0.014, 0.22%
25      6.6029
↘0.008, 0.12%
26      6.5945
↗0.008, 0.13%
27      6.6424
↘0.048, 0.73%
28      6.6468
↘0.004, 0.07%
29      6.6390
↗0.008, 0.12%
30      6.6488
↘0.010, 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”),6.579,6.58],[new Date(“2016-06-02”),6.584,6.58],[new Date(“2016-06-03”),6.566,6.57],[new Date(“2016-06-04”),6.565,6.57],[new Date(“2016-06-05”),6.564,6.56],[new Date(“2016-06-06”),6.565,6.56],[new Date(“2016-06-07”),6.572,6.57],[new Date(“2016-06-08”),6.566,6.57],[new Date(“2016-06-09”),6.564,6.56],[new Date(“2016-06-10”),6.562,6.56],[new Date(“2016-06-11”),6.562,6.56],[new Date(“2016-06-12”),6.563,6.56],[new Date(“2016-06-13”),6.582,6.58],[new Date(“2016-06-14”),6.594,6.59],[new Date(“2016-06-15”),6.584,6.58],[new Date(“2016-06-16”),6.591,6.59],[new Date(“2016-06-17”),6.584,6.58],[new Date(“2016-06-18”),6.585,6.58],[new Date(“2016-06-19”),6.577,6.58],[new Date(“2016-06-20”),6.581,6.58],[new Date(“2016-06-21”),6.593,6.59],[new Date(“2016-06-22”),6.578,6.58],[new Date(“2016-06-23”),6.581,6.58],[new Date(“2016-06-24”),6.595,6.59],[new Date(“2016-06-25”),6.603,6.60],[new Date(“2016-06-26”),6.595,6.59],[new Date(“2016-06-27”),6.642,6.64],[new Date(“2016-06-28”),6.647,6.65],[new Date(“2016-06-29”),6.639,6.64],[new Date(“2016-06-30″),6.649,6.65],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2016

01      6.4738
02      6.4750
↘0.001, 0.02%
03      6.4855
↘0.010, 0.16%
04      6.4956
↘0.010, 0.16%
05      6.5038
↘0.008, 0.13%
06      6.4988
↗0.005, 0.08%
07      6.4987
↗0.000, 0.00%
08      6.4996
↘0.001, 0.01%
09      6.5130
↘0.013, 0.21%
10      6.5169
↘0.004, 0.06%
11      6.4989
↗0.018, 0.28%
12      6.5148
↘0.016, 0.24%
13      6.5278
↘0.013, 0.20%
14      6.5309
↘0.003, 0.05%
15      6.5327
↘0.002, 0.03%
16      6.5265
↗0.006, 0.10%
17      6.5253
↗0.001, 0.02%
18      6.5358
↘0.010, 0.16%
19      6.5421
↘0.006, 0.10%
20      6.5465
↘0.004, 0.07%
21      6.5470
↘0.000, 0.01%
22      6.5475
↘0.000, 0.01%
23      6.5537
↘0.006, 0.10%
24      6.5560
↘0.002, 0.04%
25      6.5561
↘0.000, 0.00%
26      6.5573
↘0.001, 0.02%
27      6.5631
↘0.006, 0.09%
28      6.5638
↘0.001, 0.01%
29      6.5656
↘0.002, 0.03%
30      6.5785
↘0.013, 0.20%
31      6.5833
↘0.005, 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(“2016-05-01”),6.474,6.47],[new Date(“2016-05-02”),6.475,6.48],[new Date(“2016-05-03”),6.485,6.49],[new Date(“2016-05-04”),6.496,6.50],[new Date(“2016-05-05”),6.504,6.50],[new Date(“2016-05-06”),6.499,6.50],[new Date(“2016-05-07”),6.499,6.50],[new Date(“2016-05-08”),6.500,6.50],[new Date(“2016-05-09”),6.513,6.51],[new Date(“2016-05-10”),6.517,6.52],[new Date(“2016-05-11”),6.499,6.50],[new Date(“2016-05-12”),6.515,6.51],[new Date(“2016-05-13”),6.528,6.53],[new Date(“2016-05-14”),6.531,6.53],[new Date(“2016-05-15”),6.533,6.53],[new Date(“2016-05-16”),6.526,6.53],[new Date(“2016-05-17”),6.525,6.53],[new Date(“2016-05-18”),6.536,6.54],[new Date(“2016-05-19”),6.542,6.54],[new Date(“2016-05-20”),6.547,6.55],[new Date(“2016-05-21”),6.547,6.55],[new Date(“2016-05-22”),6.547,6.55],[new Date(“2016-05-23”),6.554,6.55],[new Date(“2016-05-24”),6.556,6.56],[new Date(“2016-05-25”),6.556,6.56],[new Date(“2016-05-26”),6.557,6.56],[new Date(“2016-05-27”),6.563,6.56],[new Date(“2016-05-28”),6.564,6.56],[new Date(“2016-05-29”),6.566,6.57],[new Date(“2016-05-30”),6.579,6.58],[new Date(“2016-05-31″),6.583,6.58],]);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      6.4741
02      6.4790
↘0.005, 0.08%
03      6.4811
↘0.002, 0.03%
04      6.4794
↗0.002, 0.03%
05      6.4766
↗0.003, 0.04%
06      6.4791
↘0.003, 0.04%
07      6.4661
↗0.013, 0.20%
08      6.4661
↘0.000, 0.00%
09      6.4662
↘0.000, 0.00%
10      6.4638
↗0.002, 0.04%
11      6.4608
↗0.003, 0.05%
12      6.4648
↘0.004, 0.06%
13      6.4761
↘0.011, 0.18%
14      6.4800
↘0.004, 0.06%
15      6.4777
↗0.002, 0.04%
16      6.4773
↗0.000, 0.01%
17      6.4756
↗0.002, 0.03%
18      6.4754
↗0.000, 0.00%
19      6.4625
↗0.013, 0.20%
20      6.4692
↘0.007, 0.10%
21      6.4787
↘0.009, 0.15%
22      6.4959
↘0.017, 0.27%
23      6.4987
↘0.003, 0.04%
24      6.4983
↗0.000, 0.01%
25      6.4937
↗0.005, 0.07%
26      6.4941
↘0.000, 0.01%
27      6.4957
↘0.002, 0.02%
28      6.4792
↗0.016, 0.25%
29      6.4776
↗0.002, 0.03%
30      6.4763
↗0.001, 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(“2016-04-01”),6.474,6.47],[new Date(“2016-04-02”),6.479,6.48],[new Date(“2016-04-03”),6.481,6.48],[new Date(“2016-04-04”),6.479,6.48],[new Date(“2016-04-05”),6.477,6.48],[new Date(“2016-04-06”),6.479,6.48],[new Date(“2016-04-07”),6.466,6.47],[new Date(“2016-04-08”),6.466,6.47],[new Date(“2016-04-09”),6.466,6.47],[new Date(“2016-04-10”),6.464,6.46],[new Date(“2016-04-11”),6.461,6.46],[new Date(“2016-04-12”),6.465,6.46],[new Date(“2016-04-13”),6.476,6.48],[new Date(“2016-04-14”),6.480,6.48],[new Date(“2016-04-15”),6.478,6.48],[new Date(“2016-04-16”),6.477,6.48],[new Date(“2016-04-17”),6.476,6.48],[new Date(“2016-04-18”),6.475,6.48],[new Date(“2016-04-19”),6.462,6.46],[new Date(“2016-04-20”),6.469,6.47],[new Date(“2016-04-21”),6.479,6.48],[new Date(“2016-04-22”),6.496,6.50],[new Date(“2016-04-23”),6.499,6.50],[new Date(“2016-04-24”),6.498,6.50],[new Date(“2016-04-25”),6.494,6.49],[new Date(“2016-04-26”),6.494,6.49],[new Date(“2016-04-27”),6.496,6.50],[new Date(“2016-04-28”),6.479,6.48],[new Date(“2016-04-29”),6.478,6.48],[new Date(“2016-04-30″),6.476,6.48],]);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      6.5508
02      6.5519
↘0.001, 0.02%
03      6.5307
↗0.021, 0.32%
04      6.5194
↗0.011, 0.17%
05      6.5194
→0.000, 0.00%
06      6.5169
↗0.003, 0.04%
07      6.5181
↘0.001, 0.02%
08      6.5077
↗0.010, 0.16%
09      6.5140
↘0.006, 0.10%
10      6.5110
↗0.003, 0.05%
11      6.4983
↗0.013, 0.20%
12      6.4951
↗0.003, 0.05%
13      6.4915
↗0.004, 0.06%
14      6.4910
↗0.001, 0.01%
15      6.5109
↘0.020, 0.31%
16      6.5051
↗0.006, 0.09%
17      6.4896
↗0.015, 0.24%
18      6.4728
↗0.017, 0.26%
19      6.4715
↗0.001, 0.02%
20      6.4706
↗0.001, 0.01%
21      6.4811
↘0.011, 0.16%
22      6.4913
↘0.010, 0.16%
23      6.5035
↘0.012, 0.19%
24      6.5136
↘0.010, 0.16%
25      6.5151
↘0.001, 0.02%
26      6.5119
↗0.003, 0.05%
27      6.5179
↘0.006, 0.09%
28      6.5099
↗0.008, 0.12%
29      6.5067
↗0.003, 0.05%
30      6.4698
↗0.037, 0.57%
31      6.4533
↗0.017, 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(“2016-03-01”),6.551,6.55],[new Date(“2016-03-02”),6.552,6.55],[new Date(“2016-03-03”),6.531,6.53],[new Date(“2016-03-04”),6.519,6.52],[new Date(“2016-03-05”),6.519,6.52],[new Date(“2016-03-06”),6.517,6.52],[new Date(“2016-03-07”),6.518,6.52],[new Date(“2016-03-08”),6.508,6.51],[new Date(“2016-03-09”),6.514,6.51],[new Date(“2016-03-10”),6.511,6.51],[new Date(“2016-03-11”),6.498,6.50],[new Date(“2016-03-12”),6.495,6.50],[new Date(“2016-03-13”),6.492,6.49],[new Date(“2016-03-14”),6.491,6.49],[new Date(“2016-03-15”),6.511,6.51],[new Date(“2016-03-16”),6.505,6.51],[new Date(“2016-03-17”),6.490,6.49],[new Date(“2016-03-18”),6.473,6.47],[new Date(“2016-03-19”),6.471,6.47],[new Date(“2016-03-20”),6.471,6.47],[new Date(“2016-03-21”),6.481,6.48],[new Date(“2016-03-22”),6.491,6.49],[new Date(“2016-03-23”),6.504,6.50],[new Date(“2016-03-24”),6.514,6.51],[new Date(“2016-03-25”),6.515,6.52],[new Date(“2016-03-26”),6.512,6.51],[new Date(“2016-03-27”),6.518,6.52],[new Date(“2016-03-28”),6.510,6.51],[new Date(“2016-03-29”),6.507,6.51],[new Date(“2016-03-30”),6.470,6.47],[new Date(“2016-03-31″),6.453,6.45],]);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      6.5763
02      6.5806
↘0.004, 0.07%
03      6.5774
↗0.003, 0.05%
04      6.5687
↗0.009, 0.13%
05      6.5745
↘0.006, 0.09%
06      6.5740
↗0.000, 0.01%
07      6.5765
↘0.002, 0.04%
08      6.5738
↗0.003, 0.04%
09      6.5562
↗0.018, 0.27%
10      6.5739
↘0.018, 0.27%
11      6.5735
↗0.000, 0.01%
12      6.5655
↗0.008, 0.12%
13      6.5655
↘0.000, 0.00%
14      6.5586
↗0.007, 0.11%
15      6.5066
↗0.052, 0.79%
16      6.5182
↘0.012, 0.18%
17      6.5267
↘0.009, 0.13%
18      6.5205
↗0.006, 0.10%
19      6.5212
↘0.001, 0.01%
20      6.5220
↘0.001, 0.01%
21      6.5231
↘0.001, 0.02%
22      6.5228
↗0.000, 0.00%
23      6.5261
↘0.003, 0.05%
24      6.5239
↗0.002, 0.03%
25      6.5320
↘0.008, 0.12%
26      6.5376
↘0.006, 0.09%
27      6.5376
→0.000, 0.00%
28      6.5392
↘0.002, 0.02%
29      6.5492
↘0.010, 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(“2016-02-01”),6.576,6.58],[new Date(“2016-02-02”),6.581,6.58],[new Date(“2016-02-03”),6.577,6.58],[new Date(“2016-02-04”),6.569,6.57],[new Date(“2016-02-05”),6.575,6.57],[new Date(“2016-02-06”),6.574,6.57],[new Date(“2016-02-07”),6.577,6.58],[new Date(“2016-02-08”),6.574,6.57],[new Date(“2016-02-09”),6.556,6.56],[new Date(“2016-02-10”),6.574,6.57],[new Date(“2016-02-11”),6.574,6.57],[new Date(“2016-02-12”),6.565,6.57],[new Date(“2016-02-13”),6.565,6.57],[new Date(“2016-02-14”),6.559,6.56],[new Date(“2016-02-15”),6.507,6.51],[new Date(“2016-02-16”),6.518,6.52],[new Date(“2016-02-17”),6.527,6.53],[new Date(“2016-02-18”),6.521,6.52],[new Date(“2016-02-19”),6.521,6.52],[new Date(“2016-02-20”),6.522,6.52],[new Date(“2016-02-21”),6.523,6.52],[new Date(“2016-02-22”),6.523,6.52],[new Date(“2016-02-23”),6.526,6.53],[new Date(“2016-02-24”),6.524,6.52],[new Date(“2016-02-25”),6.532,6.53],[new Date(“2016-02-26”),6.538,6.54],[new Date(“2016-02-27”),6.538,6.54],[new Date(“2016-02-28”),6.539,6.54],[new Date(“2016-02-29″),6.549,6.55],]);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      6.4938
02      6.5042
↘0.010, 0.16%
03      6.5025
↗0.002, 0.03%
04      6.5325
↘0.030, 0.46%
05      6.5222
↗0.010, 0.16%
06      6.5414
↘0.019, 0.29%
07      6.5716
↘0.030, 0.46%
08      6.5851
↘0.014, 0.21%
09      6.5862
↘0.001, 0.02%
10      6.5832
↗0.003, 0.05%
11      6.5723
↗0.011, 0.17%
12      6.5701
↗0.002, 0.03%
13      6.5762
↘0.006, 0.09%
14      6.5869
↘0.011, 0.16%
15      6.5813
↗0.006, 0.08%
16      6.5811
↗0.000, 0.00%
17      6.5755
↗0.006, 0.09%
18      6.5701
↗0.005, 0.08%
19      6.5678
↗0.002, 0.04%
20      6.5787
↘0.011, 0.17%
21      6.5801
↘0.001, 0.02%
22      6.5794
↗0.001, 0.01%
23      6.5795
↘0.000, 0.00%
24      6.5798
↘0.000, 0.01%
25      6.5708
↗0.009, 0.14%
26      6.5680
↗0.003, 0.04%
27      6.5703
↘0.002, 0.04%
28      6.5684
↗0.002, 0.03%
29      6.5762
↘0.008, 0.12%
30      6.5759
↗0.000, 0.00%
31      6.5765
↘0.001, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-01-01”),6.494,6.49],[new Date(“2016-01-02”),6.504,6.50],[new Date(“2016-01-03”),6.502,6.50],[new Date(“2016-01-04”),6.533,6.53],[new Date(“2016-01-05”),6.522,6.52],[new Date(“2016-01-06”),6.541,6.54],[new Date(“2016-01-07”),6.572,6.57],[new Date(“2016-01-08”),6.585,6.59],[new Date(“2016-01-09”),6.586,6.59],[new Date(“2016-01-10”),6.583,6.58],[new Date(“2016-01-11”),6.572,6.57],[new Date(“2016-01-12”),6.570,6.57],[new Date(“2016-01-13”),6.576,6.58],[new Date(“2016-01-14”),6.587,6.59],[new Date(“2016-01-15”),6.581,6.58],[new Date(“2016-01-16”),6.581,6.58],[new Date(“2016-01-17”),6.575,6.58],[new Date(“2016-01-18”),6.570,6.57],[new Date(“2016-01-19”),6.568,6.57],[new Date(“2016-01-20”),6.579,6.58],[new Date(“2016-01-21”),6.580,6.58],[new Date(“2016-01-22”),6.579,6.58],[new Date(“2016-01-23”),6.579,6.58],[new Date(“2016-01-24”),6.580,6.58],[new Date(“2016-01-25”),6.571,6.57],[new Date(“2016-01-26”),6.568,6.57],[new Date(“2016-01-27”),6.570,6.57],[new Date(“2016-01-28”),6.568,6.57],[new Date(“2016-01-29”),6.576,6.58],[new Date(“2016-01-30”),6.576,6.58],[new Date(“2016-01-31″),6.577,6.58],]);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);
}