Danish Krone DKK 2016 Conversion Rates
- Opening Value is 6.862802 DKK per Dollar
- Closing Value is 7.046030 DKK per Dollar
- Change in Value during 2016 is 0.1832 which is 2.67%
- Best Performance is on 2016-05-02 with 6.463506 DKK per Dollar
- Lowest Performance is on 2016-12-20 with 7.154430 DKK per Dollar
- Average Value is 6.7301 DKK per Dollar
- Swing Between the higest and the lowest is 0.6909 per Dollar, that is 10.07% compared to the opening value.
USD to DKK Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2016-12-31 | 7.0460 DKK |
| 2016-11-30 | 7.0247 DKK |
| 2016-10-31 | 6.7793 DKK |
| 2016-09-30 | 6.6247 DKK |
| 2016-08-31 | 6.6708 DKK |
| 2016-07-31 | 6.6602 DKK |
| 2016-06-30 | 6.7016 DKK |
| 2016-05-31 | 6.6827 DKK |
| 2016-04-30 | 6.5064 DKK |
| 2016-03-31 | 6.5561 DKK |
| 2016-02-29 | 6.8505 DKK |
| 2016-01-31 | 6.8893 DKK |
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”),7.046,7.05],[new Date(“2016-11-30”),7.025,7.02],[new Date(“2016-10-31”),6.779,6.78],[new Date(“2016-09-30”),6.625,6.62],[new Date(“2016-08-31”),6.671,6.67],[new Date(“2016-07-31”),6.660,6.66],[new Date(“2016-06-30”),6.702,6.70],[new Date(“2016-05-31”),6.683,6.68],[new Date(“2016-04-30”),6.506,6.51],[new Date(“2016-03-31”),6.556,6.56],[new Date(“2016-02-29”),6.851,6.85],[new Date(“2016-01-31”),6.889,6.89],]);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);
}
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”),7.046,7.05],[new Date(“2016-11-30”),7.025,7.02],[new Date(“2016-10-31”),6.779,6.78],[new Date(“2016-09-30”),6.625,6.62],[new Date(“2016-08-31”),6.671,6.67],[new Date(“2016-07-31”),6.660,6.66],[new Date(“2016-06-30”),6.702,6.70],[new Date(“2016-05-31”),6.683,6.68],[new Date(“2016-04-30”),6.506,6.51],[new Date(“2016-03-31”),6.556,6.56],[new Date(“2016-02-29”),6.851,6.85],[new Date(“2016-01-31”),6.889,6.89],]);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 6.9770
02 6.9959
↘0.019, 0.27%
03 6.9959
→0.000, 0.00%
04 7.0271
↘0.031, 0.45%
05 6.9171
↗0.110, 1.57%
06 6.9390
↘0.022, 0.32%
07 6.9130
↗0.026, 0.37%
08 7.0045
↘0.091, 1.32%
09 7.0388
↘0.034, 0.49%
10 7.0388
→0.000, 0.00%
11 7.0509
↘0.012, 0.17%
12 6.9885
↗0.062, 0.89%
13 6.9971
↘0.009, 0.12%
14 7.0719
↘0.075, 1.07%
15 7.1348
↘0.063, 0.89%
16 7.1042
↗0.031, 0.43%
17 7.1042
→0.000, 0.00%
18 7.1152
↘0.011, 0.15%
19 7.1441
↘0.029, 0.41%
20 7.1544
↘0.010, 0.15%
21 7.1291
↗0.025, 0.35%
22 7.1213
↗0.008, 0.11%
23 7.0930
↗0.028, 0.40%
24 7.0930
→0.000, 0.00%
25 7.1099
↘0.017, 0.24%
26 7.1099
↘0.000, 0.00%
27 7.1064
↗0.004, 0.05%
28 7.1349
↘0.029, 0.40%
29 7.0289
↗0.106, 1.49%
30 7.0460
↘0.017, 0.24%
31 7.0460
→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”),6.977,6.98],[new Date(“2016-12-02”),6.996,7.00],[new Date(“2016-12-03”),6.996,7.00],[new Date(“2016-12-04”),7.027,7.03],[new Date(“2016-12-05”),6.917,6.92],[new Date(“2016-12-06”),6.939,6.94],[new Date(“2016-12-07”),6.913,6.91],[new Date(“2016-12-08”),7.004,7.00],[new Date(“2016-12-09”),7.039,7.04],[new Date(“2016-12-10”),7.039,7.04],[new Date(“2016-12-11”),7.051,7.05],[new Date(“2016-12-12”),6.988,6.99],[new Date(“2016-12-13”),6.997,7.00],[new Date(“2016-12-14”),7.072,7.07],[new Date(“2016-12-15”),7.135,7.13],[new Date(“2016-12-16”),7.104,7.10],[new Date(“2016-12-17”),7.104,7.10],[new Date(“2016-12-18”),7.115,7.12],[new Date(“2016-12-19”),7.144,7.14],[new Date(“2016-12-20”),7.154,7.15],[new Date(“2016-12-21”),7.129,7.13],[new Date(“2016-12-22”),7.121,7.12],[new Date(“2016-12-23”),7.093,7.09],[new Date(“2016-12-24”),7.093,7.09],[new Date(“2016-12-25”),7.110,7.11],[new Date(“2016-12-26”),7.110,7.11],[new Date(“2016-12-27”),7.106,7.11],[new Date(“2016-12-28”),7.135,7.13],[new Date(“2016-12-29”),7.029,7.03],[new Date(“2016-12-30”),7.046,7.05],[new Date(“2016-12-31″),7.046,7.05],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-01”),6.977,6.98],[new Date(“2016-12-02”),6.996,7.00],[new Date(“2016-12-03”),6.996,7.00],[new Date(“2016-12-04”),7.027,7.03],[new Date(“2016-12-05”),6.917,6.92],[new Date(“2016-12-06”),6.939,6.94],[new Date(“2016-12-07”),6.913,6.91],[new Date(“2016-12-08”),7.004,7.00],[new Date(“2016-12-09”),7.039,7.04],[new Date(“2016-12-10”),7.039,7.04],[new Date(“2016-12-11”),7.051,7.05],[new Date(“2016-12-12”),6.988,6.99],[new Date(“2016-12-13”),6.997,7.00],[new Date(“2016-12-14”),7.072,7.07],[new Date(“2016-12-15”),7.135,7.13],[new Date(“2016-12-16”),7.104,7.10],[new Date(“2016-12-17”),7.104,7.10],[new Date(“2016-12-18”),7.115,7.12],[new Date(“2016-12-19”),7.144,7.14],[new Date(“2016-12-20”),7.154,7.15],[new Date(“2016-12-21”),7.129,7.13],[new Date(“2016-12-22”),7.121,7.12],[new Date(“2016-12-23”),7.093,7.09],[new Date(“2016-12-24”),7.093,7.09],[new Date(“2016-12-25”),7.110,7.11],[new Date(“2016-12-26”),7.110,7.11],[new Date(“2016-12-27”),7.106,7.11],[new Date(“2016-12-28”),7.135,7.13],[new Date(“2016-12-29”),7.029,7.03],[new Date(“2016-12-30”),7.046,7.05],[new Date(“2016-12-31″),7.046,7.05],]);var options = {
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title: ‘Date’
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‘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 6.7281
02 6.7065
↗0.022, 0.32%
03 6.7035
↗0.003, 0.04%
04 6.6818
↗0.022, 0.32%
05 6.6818
→0.000, 0.00%
06 6.7040
↘0.022, 0.33%
07 6.7345
↘0.030, 0.45%
08 6.7544
↘0.020, 0.30%
09 6.8173
↘0.063, 0.93%
10 6.8331
↘0.016, 0.23%
11 6.8512
↘0.018, 0.27%
12 6.8512
→0.000, 0.00%
13 6.8731
↘0.022, 0.32%
14 6.9241
↘0.051, 0.74%
15 6.9405
↘0.016, 0.24%
16 6.9537
↘0.013, 0.19%
17 7.0047
↘0.051, 0.73%
18 7.0145
↘0.010, 0.14%
19 7.0145
→0.000, 0.00%
20 7.0300
↘0.015, 0.22%
21 6.9942
↗0.036, 0.51%
22 6.9970
↘0.003, 0.04%
23 7.0562
↘0.059, 0.85%
24 7.0416
↗0.015, 0.21%
25 7.0194
↗0.022, 0.32%
26 7.0225
↘0.003, 0.04%
27 7.0111
↗0.011, 0.16%
28 7.0048
↗0.006, 0.09%
29 6.9880
↗0.017, 0.24%
30 7.0247
↘0.037, 0.52%
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”),6.728,6.73],[new Date(“2016-11-02”),6.706,6.71],[new Date(“2016-11-03”),6.703,6.70],[new Date(“2016-11-04”),6.682,6.68],[new Date(“2016-11-05”),6.682,6.68],[new Date(“2016-11-06”),6.704,6.70],[new Date(“2016-11-07”),6.734,6.73],[new Date(“2016-11-08”),6.754,6.75],[new Date(“2016-11-09”),6.817,6.82],[new Date(“2016-11-10”),6.833,6.83],[new Date(“2016-11-11”),6.851,6.85],[new Date(“2016-11-12”),6.851,6.85],[new Date(“2016-11-13”),6.873,6.87],[new Date(“2016-11-14”),6.924,6.92],[new Date(“2016-11-15”),6.941,6.94],[new Date(“2016-11-16”),6.954,6.95],[new Date(“2016-11-17”),7.005,7.00],[new Date(“2016-11-18”),7.014,7.01],[new Date(“2016-11-19”),7.014,7.01],[new Date(“2016-11-20”),7.030,7.03],[new Date(“2016-11-21”),6.994,6.99],[new Date(“2016-11-22”),6.997,7.00],[new Date(“2016-11-23”),7.056,7.06],[new Date(“2016-11-24”),7.042,7.04],[new Date(“2016-11-25”),7.019,7.02],[new Date(“2016-11-26”),7.023,7.02],[new Date(“2016-11-27”),7.011,7.01],[new Date(“2016-11-28”),7.005,7.00],[new Date(“2016-11-29”),6.988,6.99],[new Date(“2016-11-30″),7.025,7.02],]);var options = {
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title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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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);
}
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”),6.728,6.73],[new Date(“2016-11-02”),6.706,6.71],[new Date(“2016-11-03”),6.703,6.70],[new Date(“2016-11-04”),6.682,6.68],[new Date(“2016-11-05”),6.682,6.68],[new Date(“2016-11-06”),6.704,6.70],[new Date(“2016-11-07”),6.734,6.73],[new Date(“2016-11-08”),6.754,6.75],[new Date(“2016-11-09”),6.817,6.82],[new Date(“2016-11-10”),6.833,6.83],[new Date(“2016-11-11”),6.851,6.85],[new Date(“2016-11-12”),6.851,6.85],[new Date(“2016-11-13”),6.873,6.87],[new Date(“2016-11-14”),6.924,6.92],[new Date(“2016-11-15”),6.941,6.94],[new Date(“2016-11-16”),6.954,6.95],[new Date(“2016-11-17”),7.005,7.00],[new Date(“2016-11-18”),7.014,7.01],[new Date(“2016-11-19”),7.014,7.01],[new Date(“2016-11-20”),7.030,7.03],[new Date(“2016-11-21”),6.994,6.99],[new Date(“2016-11-22”),6.997,7.00],[new Date(“2016-11-23”),7.056,7.06],[new Date(“2016-11-24”),7.042,7.04],[new Date(“2016-11-25”),7.019,7.02],[new Date(“2016-11-26”),7.023,7.02],[new Date(“2016-11-27”),7.011,7.01],[new Date(“2016-11-28”),7.005,7.00],[new Date(“2016-11-29”),6.988,6.99],[new Date(“2016-11-30″),7.025,7.02],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘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 6.6247
02 6.6291
↘0.004, 0.07%
03 6.6390
↘0.010, 0.15%
04 6.6383
↗0.001, 0.01%
05 6.6382
↗0.000, 0.00%
06 6.6796
↘0.041, 0.62%
07 6.6374
↗0.042, 0.63%
08 6.6374
→0.000, 0.00%
09 6.6478
↘0.010, 0.16%
10 6.6804
↘0.033, 0.49%
11 6.7261
↘0.046, 0.68%
12 6.7556
↘0.030, 0.44%
13 6.7345
↗0.021, 0.31%
14 6.7815
↘0.047, 0.70%
15 6.7815
→0.000, 0.00%
16 6.7832
↘0.002, 0.03%
17 6.7586
↗0.025, 0.36%
18 6.7781
↘0.019, 0.29%
19 6.7804
↘0.002, 0.03%
20 6.8066
↘0.026, 0.39%
21 6.8285
↘0.022, 0.32%
22 6.8285
→0.000, 0.00%
23 6.8369
↘0.008, 0.12%
24 6.8428
↘0.006, 0.09%
25 6.8297
↗0.013, 0.19%
26 6.8185
↗0.011, 0.16%
27 6.8252
↘0.007, 0.10%
28 6.7997
↗0.025, 0.37%
29 6.7997
→0.000, 0.00%
30 6.7712
↗0.028, 0.42%
31 6.7793
↘0.008, 0.12%
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”),6.625,6.62],[new Date(“2016-10-02”),6.629,6.63],[new Date(“2016-10-03”),6.639,6.64],[new Date(“2016-10-04”),6.638,6.64],[new Date(“2016-10-05”),6.638,6.64],[new Date(“2016-10-06”),6.680,6.68],[new Date(“2016-10-07”),6.637,6.64],[new Date(“2016-10-08”),6.637,6.64],[new Date(“2016-10-09”),6.648,6.65],[new Date(“2016-10-10”),6.680,6.68],[new Date(“2016-10-11”),6.726,6.73],[new Date(“2016-10-12”),6.756,6.76],[new Date(“2016-10-13”),6.734,6.73],[new Date(“2016-10-14”),6.782,6.78],[new Date(“2016-10-15”),6.782,6.78],[new Date(“2016-10-16”),6.783,6.78],[new Date(“2016-10-17”),6.759,6.76],[new Date(“2016-10-18”),6.778,6.78],[new Date(“2016-10-19”),6.780,6.78],[new Date(“2016-10-20”),6.807,6.81],[new Date(“2016-10-21”),6.829,6.83],[new Date(“2016-10-22”),6.829,6.83],[new Date(“2016-10-23”),6.837,6.84],[new Date(“2016-10-24”),6.843,6.84],[new Date(“2016-10-25”),6.830,6.83],[new Date(“2016-10-26”),6.819,6.82],[new Date(“2016-10-27”),6.825,6.83],[new Date(“2016-10-28”),6.800,6.80],[new Date(“2016-10-29”),6.800,6.80],[new Date(“2016-10-30”),6.771,6.77],[new Date(“2016-10-31″),6.779,6.78],]);var options = {
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title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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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);
}
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”),6.625,6.62],[new Date(“2016-10-02”),6.629,6.63],[new Date(“2016-10-03”),6.639,6.64],[new Date(“2016-10-04”),6.638,6.64],[new Date(“2016-10-05”),6.638,6.64],[new Date(“2016-10-06”),6.680,6.68],[new Date(“2016-10-07”),6.637,6.64],[new Date(“2016-10-08”),6.637,6.64],[new Date(“2016-10-09”),6.648,6.65],[new Date(“2016-10-10”),6.680,6.68],[new Date(“2016-10-11”),6.726,6.73],[new Date(“2016-10-12”),6.756,6.76],[new Date(“2016-10-13”),6.734,6.73],[new Date(“2016-10-14”),6.782,6.78],[new Date(“2016-10-15”),6.782,6.78],[new Date(“2016-10-16”),6.783,6.78],[new Date(“2016-10-17”),6.759,6.76],[new Date(“2016-10-18”),6.778,6.78],[new Date(“2016-10-19”),6.780,6.78],[new Date(“2016-10-20”),6.807,6.81],[new Date(“2016-10-21”),6.829,6.83],[new Date(“2016-10-22”),6.829,6.83],[new Date(“2016-10-23”),6.837,6.84],[new Date(“2016-10-24”),6.843,6.84],[new Date(“2016-10-25”),6.830,6.83],[new Date(“2016-10-26”),6.819,6.82],[new Date(“2016-10-27”),6.825,6.83],[new Date(“2016-10-28”),6.800,6.80],[new Date(“2016-10-29”),6.800,6.80],[new Date(“2016-10-30”),6.771,6.77],[new Date(“2016-10-31″),6.779,6.78],]);var options = {
hAxis: {
title: ‘Date’
},
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title: ‘Conversion Rate’
},
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‘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 6.6443
02 6.6682
↘0.024, 0.36%
03 6.6682
→0.000, 0.00%
04 6.6668
↗0.001, 0.02%
05 6.6704
↘0.004, 0.05%
06 6.6131
↗0.057, 0.86%
07 6.6233
↘0.010, 0.15%
08 6.6041
↗0.019, 0.29%
09 6.6263
↘0.022, 0.34%
10 6.6263
→0.000, 0.00%
11 6.6215
↗0.005, 0.07%
12 6.6210
↗0.000, 0.01%
13 6.6358
↘0.015, 0.22%
14 6.6192
↗0.017, 0.25%
15 6.6206
↘0.001, 0.02%
16 6.6742
↘0.054, 0.81%
17 6.6742
→0.000, 0.00%
18 6.6747
↘0.001, 0.01%
19 6.6641
↗0.011, 0.16%
20 6.6829
↘0.019, 0.28%
21 6.6605
↗0.022, 0.33%
22 6.6498
↗0.011, 0.16%
23 6.6327
↗0.017, 0.26%
24 6.6327
→0.000, 0.00%
25 6.6323
↗0.000, 0.01%
26 6.6227
↗0.010, 0.14%
27 6.6431
↘0.020, 0.31%
28 6.6401
↗0.003, 0.04%
29 6.6426
↘0.003, 0.04%
30 6.6247
↗0.018, 0.27%
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”),6.644,6.64],[new Date(“2016-09-02”),6.668,6.67],[new Date(“2016-09-03”),6.668,6.67],[new Date(“2016-09-04”),6.667,6.67],[new Date(“2016-09-05”),6.670,6.67],[new Date(“2016-09-06”),6.613,6.61],[new Date(“2016-09-07”),6.623,6.62],[new Date(“2016-09-08”),6.604,6.60],[new Date(“2016-09-09”),6.626,6.63],[new Date(“2016-09-10”),6.626,6.63],[new Date(“2016-09-11”),6.621,6.62],[new Date(“2016-09-12”),6.621,6.62],[new Date(“2016-09-13”),6.636,6.64],[new Date(“2016-09-14”),6.619,6.62],[new Date(“2016-09-15”),6.621,6.62],[new Date(“2016-09-16”),6.674,6.67],[new Date(“2016-09-17”),6.674,6.67],[new Date(“2016-09-18”),6.675,6.67],[new Date(“2016-09-19”),6.664,6.66],[new Date(“2016-09-20”),6.683,6.68],[new Date(“2016-09-21”),6.660,6.66],[new Date(“2016-09-22”),6.650,6.65],[new Date(“2016-09-23”),6.633,6.63],[new Date(“2016-09-24”),6.633,6.63],[new Date(“2016-09-25”),6.632,6.63],[new Date(“2016-09-26”),6.623,6.62],[new Date(“2016-09-27”),6.643,6.64],[new Date(“2016-09-28”),6.640,6.64],[new Date(“2016-09-29”),6.643,6.64],[new Date(“2016-09-30″),6.625,6.62],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-09-01”),6.644,6.64],[new Date(“2016-09-02”),6.668,6.67],[new Date(“2016-09-03”),6.668,6.67],[new Date(“2016-09-04”),6.667,6.67],[new Date(“2016-09-05”),6.670,6.67],[new Date(“2016-09-06”),6.613,6.61],[new Date(“2016-09-07”),6.623,6.62],[new Date(“2016-09-08”),6.604,6.60],[new Date(“2016-09-09”),6.626,6.63],[new Date(“2016-09-10”),6.626,6.63],[new Date(“2016-09-11”),6.621,6.62],[new Date(“2016-09-12”),6.621,6.62],[new Date(“2016-09-13”),6.636,6.64],[new Date(“2016-09-14”),6.619,6.62],[new Date(“2016-09-15”),6.621,6.62],[new Date(“2016-09-16”),6.674,6.67],[new Date(“2016-09-17”),6.674,6.67],[new Date(“2016-09-18”),6.675,6.67],[new Date(“2016-09-19”),6.664,6.66],[new Date(“2016-09-20”),6.683,6.68],[new Date(“2016-09-21”),6.660,6.66],[new Date(“2016-09-22”),6.650,6.65],[new Date(“2016-09-23”),6.633,6.63],[new Date(“2016-09-24”),6.633,6.63],[new Date(“2016-09-25”),6.632,6.63],[new Date(“2016-09-26”),6.623,6.62],[new Date(“2016-09-27”),6.643,6.64],[new Date(“2016-09-28”),6.640,6.64],[new Date(“2016-09-29”),6.643,6.64],[new Date(“2016-09-30″),6.625,6.62],]);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 6.6608
02 6.6293
↗0.031, 0.47%
03 6.6697
↘0.040, 0.61%
04 6.6798
↘0.010, 0.15%
05 6.7039
↘0.024, 0.36%
06 6.7039
→0.000, 0.00%
07 6.7046
↘0.001, 0.01%
08 6.7091
↘0.005, 0.07%
09 6.6909
↗0.018, 0.27%
10 6.6493
↗0.042, 0.62%
11 6.6784
↘0.029, 0.44%
12 6.6596
↗0.019, 0.28%
13 6.6596
→0.000, 0.00%
14 6.6635
↘0.004, 0.06%
15 6.6537
↗0.010, 0.15%
16 6.5995
↗0.054, 0.82%
17 6.5853
↗0.014, 0.22%
18 6.5582
↗0.027, 0.41%
19 6.5674
↘0.009, 0.14%
20 6.5674
→0.000, 0.00%
21 6.5884
↘0.021, 0.32%
22 6.5750
↗0.013, 0.20%
23 6.5856
↘0.011, 0.16%
24 6.6102
↘0.025, 0.37%
25 6.5954
↗0.015, 0.22%
26 6.6471
↘0.052, 0.78%
27 6.6471
→0.000, 0.00%
28 6.6486
↘0.001, 0.02%
29 6.6503
↘0.002, 0.03%
30 6.6763
↘0.026, 0.39%
31 6.6708
↗0.006, 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(“2016-08-01”),6.661,6.66],[new Date(“2016-08-02”),6.629,6.63],[new Date(“2016-08-03”),6.670,6.67],[new Date(“2016-08-04”),6.680,6.68],[new Date(“2016-08-05”),6.704,6.70],[new Date(“2016-08-06”),6.704,6.70],[new Date(“2016-08-07”),6.705,6.70],[new Date(“2016-08-08”),6.709,6.71],[new Date(“2016-08-09”),6.691,6.69],[new Date(“2016-08-10”),6.649,6.65],[new Date(“2016-08-11”),6.678,6.68],[new Date(“2016-08-12”),6.660,6.66],[new Date(“2016-08-13”),6.660,6.66],[new Date(“2016-08-14”),6.663,6.66],[new Date(“2016-08-15”),6.654,6.65],[new Date(“2016-08-16”),6.600,6.60],[new Date(“2016-08-17”),6.585,6.59],[new Date(“2016-08-18”),6.558,6.56],[new Date(“2016-08-19”),6.567,6.57],[new Date(“2016-08-20”),6.567,6.57],[new Date(“2016-08-21”),6.588,6.59],[new Date(“2016-08-22”),6.575,6.57],[new Date(“2016-08-23”),6.586,6.59],[new Date(“2016-08-24”),6.610,6.61],[new Date(“2016-08-25”),6.595,6.60],[new Date(“2016-08-26”),6.647,6.65],[new Date(“2016-08-27”),6.647,6.65],[new Date(“2016-08-28”),6.649,6.65],[new Date(“2016-08-29”),6.650,6.65],[new Date(“2016-08-30”),6.676,6.68],[new Date(“2016-08-31″),6.671,6.67],]);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_8’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-08-01”),6.661,6.66],[new Date(“2016-08-02”),6.629,6.63],[new Date(“2016-08-03”),6.670,6.67],[new Date(“2016-08-04”),6.680,6.68],[new Date(“2016-08-05”),6.704,6.70],[new Date(“2016-08-06”),6.704,6.70],[new Date(“2016-08-07”),6.705,6.70],[new Date(“2016-08-08”),6.709,6.71],[new Date(“2016-08-09”),6.691,6.69],[new Date(“2016-08-10”),6.649,6.65],[new Date(“2016-08-11”),6.678,6.68],[new Date(“2016-08-12”),6.660,6.66],[new Date(“2016-08-13”),6.660,6.66],[new Date(“2016-08-14”),6.663,6.66],[new Date(“2016-08-15”),6.654,6.65],[new Date(“2016-08-16”),6.600,6.60],[new Date(“2016-08-17”),6.585,6.59],[new Date(“2016-08-18”),6.558,6.56],[new Date(“2016-08-19”),6.567,6.57],[new Date(“2016-08-20”),6.567,6.57],[new Date(“2016-08-21”),6.588,6.59],[new Date(“2016-08-22”),6.575,6.57],[new Date(“2016-08-23”),6.586,6.59],[new Date(“2016-08-24”),6.610,6.61],[new Date(“2016-08-25”),6.595,6.60],[new Date(“2016-08-26”),6.647,6.65],[new Date(“2016-08-27”),6.647,6.65],[new Date(“2016-08-28”),6.649,6.65],[new Date(“2016-08-29”),6.650,6.65],[new Date(“2016-08-30”),6.676,6.68],[new Date(“2016-08-31″),6.671,6.67],]);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_8’));
chart.draw(data, options);
}
July, 2016
01 6.6847
02 6.6833
↗0.001, 0.02%
03 6.6839
↘0.001, 0.01%
04 6.6748
↗0.009, 0.14%
05 6.7155
↘0.041, 0.61%
06 6.7016
↗0.014, 0.21%
07 6.7262
↘0.025, 0.37%
08 6.7303
↘0.004, 0.06%
09 6.7325
↘0.002, 0.03%
10 6.7328
↘0.000, 0.01%
11 6.7258
↗0.007, 0.11%
12 6.7257
↗0.000, 0.00%
13 6.7041
↗0.022, 0.32%
14 6.6989
↗0.005, 0.08%
15 6.7444
↘0.046, 0.68%
16 6.7444
→0.000, 0.00%
17 6.7296
↗0.015, 0.22%
18 6.7190
↗0.011, 0.16%
19 6.7535
↘0.035, 0.51%
20 6.7505
↗0.003, 0.05%
21 6.7434
↗0.007, 0.10%
22 6.7759
↘0.033, 0.48%
23 6.7759
→0.000, 0.00%
24 6.7814
↘0.005, 0.08%
25 6.7689
↗0.013, 0.18%
26 6.7695
↘0.001, 0.01%
27 6.7185
↗0.051, 0.75%
28 6.7106
↗0.008, 0.12%
29 6.6492
↗0.061, 0.92%
30 6.6492
→0.000, 0.00%
31 6.6602
↘0.011, 0.17%
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”),6.685,6.68],[new Date(“2016-07-02”),6.683,6.68],[new Date(“2016-07-03”),6.684,6.68],[new Date(“2016-07-04”),6.675,6.67],[new Date(“2016-07-05”),6.715,6.72],[new Date(“2016-07-06”),6.702,6.70],[new Date(“2016-07-07”),6.726,6.73],[new Date(“2016-07-08”),6.730,6.73],[new Date(“2016-07-09”),6.732,6.73],[new Date(“2016-07-10”),6.733,6.73],[new Date(“2016-07-11”),6.726,6.73],[new Date(“2016-07-12”),6.726,6.73],[new Date(“2016-07-13”),6.704,6.70],[new Date(“2016-07-14”),6.699,6.70],[new Date(“2016-07-15”),6.744,6.74],[new Date(“2016-07-16”),6.744,6.74],[new Date(“2016-07-17”),6.730,6.73],[new Date(“2016-07-18”),6.719,6.72],[new Date(“2016-07-19”),6.754,6.75],[new Date(“2016-07-20”),6.750,6.75],[new Date(“2016-07-21”),6.743,6.74],[new Date(“2016-07-22”),6.776,6.78],[new Date(“2016-07-23”),6.776,6.78],[new Date(“2016-07-24”),6.781,6.78],[new Date(“2016-07-25”),6.769,6.77],[new Date(“2016-07-26”),6.770,6.77],[new Date(“2016-07-27”),6.719,6.72],[new Date(“2016-07-28”),6.711,6.71],[new Date(“2016-07-29”),6.649,6.65],[new Date(“2016-07-30”),6.649,6.65],[new Date(“2016-07-31″),6.660,6.66],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-07-01”),6.685,6.68],[new Date(“2016-07-02”),6.683,6.68],[new Date(“2016-07-03”),6.684,6.68],[new Date(“2016-07-04”),6.675,6.67],[new Date(“2016-07-05”),6.715,6.72],[new Date(“2016-07-06”),6.702,6.70],[new Date(“2016-07-07”),6.726,6.73],[new Date(“2016-07-08”),6.730,6.73],[new Date(“2016-07-09”),6.732,6.73],[new Date(“2016-07-10”),6.733,6.73],[new Date(“2016-07-11”),6.726,6.73],[new Date(“2016-07-12”),6.726,6.73],[new Date(“2016-07-13”),6.704,6.70],[new Date(“2016-07-14”),6.699,6.70],[new Date(“2016-07-15”),6.744,6.74],[new Date(“2016-07-16”),6.744,6.74],[new Date(“2016-07-17”),6.730,6.73],[new Date(“2016-07-18”),6.719,6.72],[new Date(“2016-07-19”),6.754,6.75],[new Date(“2016-07-20”),6.750,6.75],[new Date(“2016-07-21”),6.743,6.74],[new Date(“2016-07-22”),6.776,6.78],[new Date(“2016-07-23”),6.776,6.78],[new Date(“2016-07-24”),6.781,6.78],[new Date(“2016-07-25”),6.769,6.77],[new Date(“2016-07-26”),6.770,6.77],[new Date(“2016-07-27”),6.719,6.72],[new Date(“2016-07-28”),6.711,6.71],[new Date(“2016-07-29”),6.649,6.65],[new Date(“2016-07-30”),6.649,6.65],[new Date(“2016-07-31″),6.660,6.66],]);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 6.6558
02 6.6703
↘0.015, 0.22%
03 6.5668
↗0.104, 1.55%
04 6.5634
↗0.003, 0.05%
05 6.5503
↗0.013, 0.20%
06 6.5479
↗0.002, 0.04%
07 6.5490
↘0.001, 0.02%
08 6.5280
↗0.021, 0.32%
09 6.5629
↘0.035, 0.54%
10 6.5960
↘0.033, 0.50%
11 6.6041
↘0.008, 0.12%
12 6.6101
↘0.006, 0.09%
13 6.5906
↗0.020, 0.30%
14 6.6270
↘0.036, 0.55%
15 6.6031
↗0.024, 0.36%
16 6.6210
↘0.018, 0.27%
17 6.5991
↗0.022, 0.33%
18 6.5964
↗0.003, 0.04%
19 6.5705
↗0.026, 0.39%
20 6.5758
↘0.005, 0.08%
21 6.5974
↘0.022, 0.33%
22 6.5668
↗0.031, 0.46%
23 6.5496
↗0.017, 0.26%
24 6.6679
↘0.118, 1.81%
25 6.6927
↘0.025, 0.37%
26 6.7196
↘0.027, 0.40%
27 6.7429
↘0.023, 0.35%
28 6.7221
↗0.021, 0.31%
29 6.6951
↗0.027, 0.40%
30 6.7016
↘0.006, 0.10%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),6.656,6.66],[new Date(“2016-06-02”),6.670,6.67],[new Date(“2016-06-03”),6.567,6.57],[new Date(“2016-06-04”),6.563,6.56],[new Date(“2016-06-05”),6.550,6.55],[new Date(“2016-06-06”),6.548,6.55],[new Date(“2016-06-07”),6.549,6.55],[new Date(“2016-06-08”),6.528,6.53],[new Date(“2016-06-09”),6.563,6.56],[new Date(“2016-06-10”),6.596,6.60],[new Date(“2016-06-11”),6.604,6.60],[new Date(“2016-06-12”),6.610,6.61],[new Date(“2016-06-13”),6.591,6.59],[new Date(“2016-06-14”),6.627,6.63],[new Date(“2016-06-15”),6.603,6.60],[new Date(“2016-06-16”),6.621,6.62],[new Date(“2016-06-17”),6.599,6.60],[new Date(“2016-06-18”),6.596,6.60],[new Date(“2016-06-19”),6.571,6.57],[new Date(“2016-06-20”),6.576,6.58],[new Date(“2016-06-21”),6.597,6.60],[new Date(“2016-06-22”),6.567,6.57],[new Date(“2016-06-23”),6.550,6.55],[new Date(“2016-06-24”),6.668,6.67],[new Date(“2016-06-25”),6.693,6.69],[new Date(“2016-06-26”),6.720,6.72],[new Date(“2016-06-27”),6.743,6.74],[new Date(“2016-06-28”),6.722,6.72],[new Date(“2016-06-29”),6.695,6.70],[new Date(“2016-06-30″),6.702,6.70],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),6.656,6.66],[new Date(“2016-06-02”),6.670,6.67],[new Date(“2016-06-03”),6.567,6.57],[new Date(“2016-06-04”),6.563,6.56],[new Date(“2016-06-05”),6.550,6.55],[new Date(“2016-06-06”),6.548,6.55],[new Date(“2016-06-07”),6.549,6.55],[new Date(“2016-06-08”),6.528,6.53],[new Date(“2016-06-09”),6.563,6.56],[new Date(“2016-06-10”),6.596,6.60],[new Date(“2016-06-11”),6.604,6.60],[new Date(“2016-06-12”),6.610,6.61],[new Date(“2016-06-13”),6.591,6.59],[new Date(“2016-06-14”),6.627,6.63],[new Date(“2016-06-15”),6.603,6.60],[new Date(“2016-06-16”),6.621,6.62],[new Date(“2016-06-17”),6.599,6.60],[new Date(“2016-06-18”),6.596,6.60],[new Date(“2016-06-19”),6.571,6.57],[new Date(“2016-06-20”),6.576,6.58],[new Date(“2016-06-21”),6.597,6.60],[new Date(“2016-06-22”),6.567,6.57],[new Date(“2016-06-23”),6.550,6.55],[new Date(“2016-06-24”),6.668,6.67],[new Date(“2016-06-25”),6.693,6.69],[new Date(“2016-06-26”),6.720,6.72],[new Date(“2016-06-27”),6.743,6.74],[new Date(“2016-06-28”),6.722,6.72],[new Date(“2016-06-29”),6.695,6.70],[new Date(“2016-06-30″),6.702,6.70],]);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 6.4957
02 6.4635
↗0.032, 0.50%
03 6.4728
↘0.009, 0.14%
04 6.4699
↗0.003, 0.05%
05 6.5150
↘0.045, 0.70%
06 6.5181
↘0.003, 0.05%
07 6.5222
↘0.004, 0.06%
08 6.5260
↘0.004, 0.06%
09 6.5323
↘0.006, 0.10%
10 6.5393
↘0.007, 0.11%
11 6.5178
↗0.021, 0.33%
12 6.5378
↘0.020, 0.31%
13 6.5671
↘0.029, 0.45%
14 6.5743
↘0.007, 0.11%
15 6.5773
↘0.003, 0.05%
16 6.5758
↗0.001, 0.02%
17 6.5766
↘0.001, 0.01%
18 6.6071
↘0.031, 0.46%
19 6.6143
↘0.007, 0.11%
20 6.6279
↘0.014, 0.21%
21 6.6282
↘0.000, 0.00%
22 6.6316
↘0.003, 0.05%
23 6.6287
↗0.003, 0.04%
24 6.6658
↘0.037, 0.56%
25 6.6630
↗0.003, 0.04%
26 6.6492
↗0.014, 0.21%
27 6.6841
↘0.035, 0.53%
28 6.6855
↘0.001, 0.02%
29 6.6931
↘0.008, 0.11%
30 6.6798
↗0.013, 0.20%
31 6.6827
↘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(“2016-05-01”),6.496,6.50],[new Date(“2016-05-02”),6.464,6.46],[new Date(“2016-05-03”),6.473,6.47],[new Date(“2016-05-04”),6.470,6.47],[new Date(“2016-05-05”),6.515,6.51],[new Date(“2016-05-06”),6.518,6.52],[new Date(“2016-05-07”),6.522,6.52],[new Date(“2016-05-08”),6.526,6.53],[new Date(“2016-05-09”),6.532,6.53],[new Date(“2016-05-10”),6.539,6.54],[new Date(“2016-05-11”),6.518,6.52],[new Date(“2016-05-12”),6.538,6.54],[new Date(“2016-05-13”),6.567,6.57],[new Date(“2016-05-14”),6.574,6.57],[new Date(“2016-05-15”),6.577,6.58],[new Date(“2016-05-16”),6.576,6.58],[new Date(“2016-05-17”),6.577,6.58],[new Date(“2016-05-18”),6.607,6.61],[new Date(“2016-05-19”),6.614,6.61],[new Date(“2016-05-20”),6.628,6.63],[new Date(“2016-05-21”),6.628,6.63],[new Date(“2016-05-22”),6.632,6.63],[new Date(“2016-05-23”),6.629,6.63],[new Date(“2016-05-24”),6.666,6.67],[new Date(“2016-05-25”),6.663,6.66],[new Date(“2016-05-26”),6.649,6.65],[new Date(“2016-05-27”),6.684,6.68],[new Date(“2016-05-28”),6.685,6.69],[new Date(“2016-05-29”),6.693,6.69],[new Date(“2016-05-30”),6.680,6.68],[new Date(“2016-05-31″),6.683,6.68],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),6.496,6.50],[new Date(“2016-05-02”),6.464,6.46],[new Date(“2016-05-03”),6.473,6.47],[new Date(“2016-05-04”),6.470,6.47],[new Date(“2016-05-05”),6.515,6.51],[new Date(“2016-05-06”),6.518,6.52],[new Date(“2016-05-07”),6.522,6.52],[new Date(“2016-05-08”),6.526,6.53],[new Date(“2016-05-09”),6.532,6.53],[new Date(“2016-05-10”),6.539,6.54],[new Date(“2016-05-11”),6.518,6.52],[new Date(“2016-05-12”),6.538,6.54],[new Date(“2016-05-13”),6.567,6.57],[new Date(“2016-05-14”),6.574,6.57],[new Date(“2016-05-15”),6.577,6.58],[new Date(“2016-05-16”),6.576,6.58],[new Date(“2016-05-17”),6.577,6.58],[new Date(“2016-05-18”),6.607,6.61],[new Date(“2016-05-19”),6.614,6.61],[new Date(“2016-05-20”),6.628,6.63],[new Date(“2016-05-21”),6.628,6.63],[new Date(“2016-05-22”),6.632,6.63],[new Date(“2016-05-23”),6.629,6.63],[new Date(“2016-05-24”),6.666,6.67],[new Date(“2016-05-25”),6.663,6.66],[new Date(“2016-05-26”),6.649,6.65],[new Date(“2016-05-27”),6.684,6.68],[new Date(“2016-05-28”),6.685,6.69],[new Date(“2016-05-29”),6.693,6.69],[new Date(“2016-05-30”),6.680,6.68],[new Date(“2016-05-31″),6.683,6.68],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}
April, 2016
01 6.5441
02 6.5404
↗0.004, 0.06%
03 6.5387
↗0.002, 0.03%
04 6.5345
↗0.004, 0.06%
05 6.5388
↘0.004, 0.07%
06 6.5329
↗0.006, 0.09%
07 6.5433
↘0.010, 0.16%
08 6.5301
↗0.013, 0.20%
09 6.5312
↘0.001, 0.02%
10 6.5255
↗0.006, 0.09%
11 6.5258
↘0.000, 0.00%
12 6.5349
↘0.009, 0.14%
13 6.5839
↘0.049, 0.75%
14 6.5981
↘0.014, 0.22%
15 6.5966
↗0.002, 0.02%
16 6.5954
↗0.001, 0.02%
17 6.5893
↗0.006, 0.09%
18 6.5815
↗0.008, 0.12%
19 6.5599
↗0.022, 0.33%
20 6.5806
↘0.021, 0.32%
21 6.5850
↘0.004, 0.07%
22 6.6207
↘0.036, 0.54%
23 6.6244
↘0.004, 0.06%
24 6.6256
↘0.001, 0.02%
25 6.6088
↗0.017, 0.25%
26 6.5926
↗0.016, 0.25%
27 6.5758
↗0.017, 0.25%
28 6.5613
↗0.014, 0.22%
29 6.5139
↗0.047, 0.72%
30 6.5064
↗0.007, 0.12%
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”),6.544,6.54],[new Date(“2016-04-02”),6.540,6.54],[new Date(“2016-04-03”),6.539,6.54],[new Date(“2016-04-04”),6.535,6.53],[new Date(“2016-04-05”),6.539,6.54],[new Date(“2016-04-06”),6.533,6.53],[new Date(“2016-04-07”),6.543,6.54],[new Date(“2016-04-08”),6.530,6.53],[new Date(“2016-04-09”),6.531,6.53],[new Date(“2016-04-10”),6.525,6.53],[new Date(“2016-04-11”),6.526,6.53],[new Date(“2016-04-12”),6.535,6.53],[new Date(“2016-04-13”),6.584,6.58],[new Date(“2016-04-14”),6.598,6.60],[new Date(“2016-04-15”),6.597,6.60],[new Date(“2016-04-16”),6.595,6.60],[new Date(“2016-04-17”),6.589,6.59],[new Date(“2016-04-18”),6.582,6.58],[new Date(“2016-04-19”),6.560,6.56],[new Date(“2016-04-20”),6.581,6.58],[new Date(“2016-04-21”),6.585,6.59],[new Date(“2016-04-22”),6.621,6.62],[new Date(“2016-04-23”),6.624,6.62],[new Date(“2016-04-24”),6.626,6.63],[new Date(“2016-04-25”),6.609,6.61],[new Date(“2016-04-26”),6.593,6.59],[new Date(“2016-04-27”),6.576,6.58],[new Date(“2016-04-28”),6.561,6.56],[new Date(“2016-04-29”),6.514,6.51],[new Date(“2016-04-30″),6.506,6.51],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-04-01”),6.544,6.54],[new Date(“2016-04-02”),6.540,6.54],[new Date(“2016-04-03”),6.539,6.54],[new Date(“2016-04-04”),6.535,6.53],[new Date(“2016-04-05”),6.539,6.54],[new Date(“2016-04-06”),6.533,6.53],[new Date(“2016-04-07”),6.543,6.54],[new Date(“2016-04-08”),6.530,6.53],[new Date(“2016-04-09”),6.531,6.53],[new Date(“2016-04-10”),6.525,6.53],[new Date(“2016-04-11”),6.526,6.53],[new Date(“2016-04-12”),6.535,6.53],[new Date(“2016-04-13”),6.584,6.58],[new Date(“2016-04-14”),6.598,6.60],[new Date(“2016-04-15”),6.597,6.60],[new Date(“2016-04-16”),6.595,6.60],[new Date(“2016-04-17”),6.589,6.59],[new Date(“2016-04-18”),6.582,6.58],[new Date(“2016-04-19”),6.560,6.56],[new Date(“2016-04-20”),6.581,6.58],[new Date(“2016-04-21”),6.585,6.59],[new Date(“2016-04-22”),6.621,6.62],[new Date(“2016-04-23”),6.624,6.62],[new Date(“2016-04-24”),6.626,6.63],[new Date(“2016-04-25”),6.609,6.61],[new Date(“2016-04-26”),6.593,6.59],[new Date(“2016-04-27”),6.576,6.58],[new Date(“2016-04-28”),6.561,6.56],[new Date(“2016-04-29”),6.514,6.51],[new Date(“2016-04-30″),6.506,6.51],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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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 6.8597
02 6.8622
↘0.003, 0.04%
03 6.8227
↗0.040, 0.58%
04 6.7919
↗0.031, 0.45%
05 6.7829
↗0.009, 0.13%
06 6.7855
↘0.003, 0.04%
07 6.7760
↗0.009, 0.14%
08 6.7812
↘0.005, 0.08%
09 6.7808
↗0.000, 0.01%
10 6.6970
↗0.084, 1.23%
11 6.7046
↘0.008, 0.11%
12 6.6900
↗0.015, 0.22%
13 6.6815
↗0.008, 0.13%
14 6.7129
↘0.031, 0.47%
15 6.7110
↗0.002, 0.03%
16 6.6625
↗0.048, 0.72%
17 6.6129
↗0.050, 0.75%
18 6.6138
↘0.001, 0.01%
19 6.6105
↗0.003, 0.05%
20 6.6118
↘0.001, 0.02%
21 6.6275
↘0.016, 0.24%
22 6.6376
↘0.010, 0.15%
23 6.6604
↘0.023, 0.34%
24 6.6665
↘0.006, 0.09%
25 6.6746
↘0.008, 0.12%
26 6.6752
↘0.001, 0.01%
27 6.6778
↘0.003, 0.04%
28 6.6621
↗0.016, 0.24%
29 6.6161
↗0.046, 0.69%
30 6.5907
↗0.025, 0.38%
31 6.5561
↗0.035, 0.52%
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”),6.860,6.86],[new Date(“2016-03-02”),6.862,6.86],[new Date(“2016-03-03”),6.823,6.82],[new Date(“2016-03-04”),6.792,6.79],[new Date(“2016-03-05”),6.783,6.78],[new Date(“2016-03-06”),6.785,6.79],[new Date(“2016-03-07”),6.776,6.78],[new Date(“2016-03-08”),6.781,6.78],[new Date(“2016-03-09”),6.781,6.78],[new Date(“2016-03-10”),6.697,6.70],[new Date(“2016-03-11”),6.705,6.70],[new Date(“2016-03-12”),6.690,6.69],[new Date(“2016-03-13”),6.682,6.68],[new Date(“2016-03-14”),6.713,6.71],[new Date(“2016-03-15”),6.711,6.71],[new Date(“2016-03-16”),6.663,6.66],[new Date(“2016-03-17”),6.613,6.61],[new Date(“2016-03-18”),6.614,6.61],[new Date(“2016-03-19”),6.611,6.61],[new Date(“2016-03-20”),6.612,6.61],[new Date(“2016-03-21”),6.628,6.63],[new Date(“2016-03-22”),6.638,6.64],[new Date(“2016-03-23”),6.660,6.66],[new Date(“2016-03-24”),6.667,6.67],[new Date(“2016-03-25”),6.675,6.67],[new Date(“2016-03-26”),6.675,6.68],[new Date(“2016-03-27”),6.678,6.68],[new Date(“2016-03-28”),6.662,6.66],[new Date(“2016-03-29”),6.616,6.62],[new Date(“2016-03-30”),6.591,6.59],[new Date(“2016-03-31″),6.556,6.56],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-03-01”),6.860,6.86],[new Date(“2016-03-02”),6.862,6.86],[new Date(“2016-03-03”),6.823,6.82],[new Date(“2016-03-04”),6.792,6.79],[new Date(“2016-03-05”),6.783,6.78],[new Date(“2016-03-06”),6.785,6.79],[new Date(“2016-03-07”),6.776,6.78],[new Date(“2016-03-08”),6.781,6.78],[new Date(“2016-03-09”),6.781,6.78],[new Date(“2016-03-10”),6.697,6.70],[new Date(“2016-03-11”),6.705,6.70],[new Date(“2016-03-12”),6.690,6.69],[new Date(“2016-03-13”),6.682,6.68],[new Date(“2016-03-14”),6.713,6.71],[new Date(“2016-03-15”),6.711,6.71],[new Date(“2016-03-16”),6.663,6.66],[new Date(“2016-03-17”),6.613,6.61],[new Date(“2016-03-18”),6.614,6.61],[new Date(“2016-03-19”),6.611,6.61],[new Date(“2016-03-20”),6.612,6.61],[new Date(“2016-03-21”),6.628,6.63],[new Date(“2016-03-22”),6.638,6.64],[new Date(“2016-03-23”),6.660,6.66],[new Date(“2016-03-24”),6.667,6.67],[new Date(“2016-03-25”),6.675,6.67],[new Date(“2016-03-26”),6.675,6.68],[new Date(“2016-03-27”),6.678,6.68],[new Date(“2016-03-28”),6.662,6.66],[new Date(“2016-03-29”),6.616,6.62],[new Date(“2016-03-30”),6.591,6.59],[new Date(“2016-03-31″),6.556,6.56],]);var options = {
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title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘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 6.8604
02 6.8395
↗0.021, 0.30%
03 6.7548
↗0.085, 1.24%
04 6.6904
↗0.064, 0.95%
05 6.6896
↗0.001, 0.01%
06 6.6857
↗0.004, 0.06%
07 6.6963
↘0.011, 0.16%
08 6.6690
↗0.027, 0.41%
09 6.6278
↗0.041, 0.62%
10 6.6218
↗0.006, 0.09%
11 6.6005
↗0.021, 0.32%
12 6.6247
↘0.024, 0.37%
13 6.6288
↘0.004, 0.06%
14 6.6393
↘0.010, 0.16%
15 6.6794
↘0.040, 0.60%
16 6.6934
↘0.014, 0.21%
17 6.7050
↘0.012, 0.17%
18 6.7142
↘0.009, 0.14%
19 6.7067
↗0.008, 0.11%
20 6.7069
↘0.000, 0.00%
21 6.7119
↘0.005, 0.07%
22 6.7539
↘0.042, 0.63%
23 6.7666
↘0.013, 0.19%
24 6.7736
↘0.007, 0.10%
25 6.7712
↗0.002, 0.04%
26 6.8129
↘0.042, 0.62%
27 6.8152
↘0.002, 0.03%
28 6.8305
↘0.015, 0.22%
29 6.8505
↘0.020, 0.29%
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”),6.860,6.86],[new Date(“2016-02-02”),6.840,6.84],[new Date(“2016-02-03”),6.755,6.75],[new Date(“2016-02-04”),6.690,6.69],[new Date(“2016-02-05”),6.690,6.69],[new Date(“2016-02-06”),6.686,6.69],[new Date(“2016-02-07”),6.696,6.70],[new Date(“2016-02-08”),6.669,6.67],[new Date(“2016-02-09”),6.628,6.63],[new Date(“2016-02-10”),6.622,6.62],[new Date(“2016-02-11”),6.600,6.60],[new Date(“2016-02-12”),6.625,6.62],[new Date(“2016-02-13”),6.629,6.63],[new Date(“2016-02-14”),6.639,6.64],[new Date(“2016-02-15”),6.679,6.68],[new Date(“2016-02-16”),6.693,6.69],[new Date(“2016-02-17”),6.705,6.70],[new Date(“2016-02-18”),6.714,6.71],[new Date(“2016-02-19”),6.707,6.71],[new Date(“2016-02-20”),6.707,6.71],[new Date(“2016-02-21”),6.712,6.71],[new Date(“2016-02-22”),6.754,6.75],[new Date(“2016-02-23”),6.767,6.77],[new Date(“2016-02-24”),6.774,6.77],[new Date(“2016-02-25”),6.771,6.77],[new Date(“2016-02-26”),6.813,6.81],[new Date(“2016-02-27”),6.815,6.82],[new Date(“2016-02-28”),6.830,6.83],[new Date(“2016-02-29″),6.851,6.85],]);var options = {
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-02-01”),6.860,6.86],[new Date(“2016-02-02”),6.840,6.84],[new Date(“2016-02-03”),6.755,6.75],[new Date(“2016-02-04”),6.690,6.69],[new Date(“2016-02-05”),6.690,6.69],[new Date(“2016-02-06”),6.686,6.69],[new Date(“2016-02-07”),6.696,6.70],[new Date(“2016-02-08”),6.669,6.67],[new Date(“2016-02-09”),6.628,6.63],[new Date(“2016-02-10”),6.622,6.62],[new Date(“2016-02-11”),6.600,6.60],[new Date(“2016-02-12”),6.625,6.62],[new Date(“2016-02-13”),6.629,6.63],[new Date(“2016-02-14”),6.639,6.64],[new Date(“2016-02-15”),6.679,6.68],[new Date(“2016-02-16”),6.693,6.69],[new Date(“2016-02-17”),6.705,6.70],[new Date(“2016-02-18”),6.714,6.71],[new Date(“2016-02-19”),6.707,6.71],[new Date(“2016-02-20”),6.707,6.71],[new Date(“2016-02-21”),6.712,6.71],[new Date(“2016-02-22”),6.754,6.75],[new Date(“2016-02-23”),6.767,6.77],[new Date(“2016-02-24”),6.774,6.77],[new Date(“2016-02-25”),6.771,6.77],[new Date(“2016-02-26”),6.813,6.81],[new Date(“2016-02-27”),6.815,6.82],[new Date(“2016-02-28”),6.830,6.83],[new Date(“2016-02-29″),6.851,6.85],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}
January, 2016
01 6.8628
02 6.8712
↘0.008, 0.12%
03 6.8669
↗0.004, 0.06%
04 6.8861
↘0.019, 0.28%
05 6.9242
↘0.038, 0.55%
06 6.9218
↗0.002, 0.03%
07 6.8510
↗0.071, 1.02%
08 6.8404
↗0.011, 0.15%
09 6.8342
↗0.006, 0.09%
10 6.8209
↗0.013, 0.20%
11 6.8621
↘0.041, 0.60%
12 6.8690
↘0.007, 0.10%
13 6.8621
↗0.007, 0.10%
14 6.8713
↘0.009, 0.13%
15 6.8418
↗0.030, 0.43%
16 6.8391
↗0.003, 0.04%
17 6.8370
↗0.002, 0.03%
18 6.8477
↘0.011, 0.16%
19 6.8422
↗0.005, 0.08%
20 6.8536
↘0.011, 0.17%
21 6.8585
↘0.005, 0.07%
22 6.8992
↘0.041, 0.59%
23 6.9065
↘0.007, 0.11%
24 6.9124
↘0.006, 0.09%
25 6.8840
↗0.028, 0.41%
26 6.8754
↗0.009, 0.12%
27 6.8527
↗0.023, 0.33%
28 6.8301
↗0.023, 0.33%
29 6.8796
↘0.049, 0.72%
30 6.8824
↘0.003, 0.04%
31 6.8893
↘0.007, 0.10%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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‘legend’: {‘position’: ‘none’},
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};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-01-01”),6.863,6.86],[new Date(“2016-01-02”),6.871,6.87],[new Date(“2016-01-03”),6.867,6.87],[new Date(“2016-01-04”),6.886,6.89],[new Date(“2016-01-05”),6.924,6.92],[new Date(“2016-01-06”),6.922,6.92],[new Date(“2016-01-07”),6.851,6.85],[new Date(“2016-01-08”),6.840,6.84],[new Date(“2016-01-09”),6.834,6.83],[new Date(“2016-01-10”),6.821,6.82],[new Date(“2016-01-11”),6.862,6.86],[new Date(“2016-01-12”),6.869,6.87],[new Date(“2016-01-13”),6.862,6.86],[new Date(“2016-01-14”),6.871,6.87],[new Date(“2016-01-15”),6.842,6.84],[new Date(“2016-01-16”),6.839,6.84],[new Date(“2016-01-17”),6.837,6.84],[new Date(“2016-01-18”),6.848,6.85],[new Date(“2016-01-19”),6.842,6.84],[new Date(“2016-01-20”),6.854,6.85],[new Date(“2016-01-21”),6.858,6.86],[new Date(“2016-01-22”),6.899,6.90],[new Date(“2016-01-23”),6.906,6.91],[new Date(“2016-01-24”),6.912,6.91],[new Date(“2016-01-25”),6.884,6.88],[new Date(“2016-01-26”),6.875,6.88],[new Date(“2016-01-27”),6.853,6.85],[new Date(“2016-01-28”),6.830,6.83],[new Date(“2016-01-29”),6.880,6.88],[new Date(“2016-01-30”),6.882,6.88],[new Date(“2016-01-31″),6.889,6.89],]);var options = {
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title: ‘Date’
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},
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}