Brazilian Real BRL 2016 Conversion Rates
- Opening Value is 3.952733 BRL per Dollar
- Closing Value is 3.253504 BRL per Dollar
- Change in Value during 2016 is -0.6992 which is -17.69%
- Best Performance is on 2016-10-25 with 3.110298 BRL per Dollar
- Lowest Performance is on 2016-01-21 with 4.142083 BRL per Dollar
- Average Value is 3.4869 BRL per Dollar
- Swing Between the higest and the lowest is 1.0318 per Dollar, that is 26.10% compared to the opening value.
USD to BRL Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2016-12-31 | 3.2535 BRL |
| 2016-11-30 | 3.4073 BRL |
| 2016-10-31 | 3.1992 BRL |
| 2016-09-30 | 3.2615 BRL |
| 2016-08-31 | 3.2270 BRL |
| 2016-07-31 | 3.2396 BRL |
| 2016-06-30 | 3.2262 BRL |
| 2016-05-31 | 3.6056 BRL |
| 2016-04-30 | 3.4435 BRL |
| 2016-03-31 | 3.5981 BRL |
| 2016-02-29 | 4.0132 BRL |
| 2016-01-31 | 3.9997 BRL |
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’},
‘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”),3.254,3.25],[new Date(“2016-11-30”),3.407,3.41],[new Date(“2016-10-31”),3.199,3.20],[new Date(“2016-09-30”),3.262,3.26],[new Date(“2016-08-31”),3.227,3.23],[new Date(“2016-07-31”),3.240,3.24],[new Date(“2016-06-30”),3.226,3.23],[new Date(“2016-05-31”),3.606,3.61],[new Date(“2016-04-30”),3.444,3.44],[new Date(“2016-03-31”),3.598,3.60],[new Date(“2016-02-29”),4.013,4.01],[new Date(“2016-01-31”),4.000,4.00],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}
December, 2016
01 3.5763
02 3.4750
↗0.101, 2.83%
03 3.4750
→0.000, 0.00%
04 3.4750
↗0.000, 0.00%
05 3.4206
↗0.054, 1.57%
06 3.4075
↗0.013, 0.38%
07 3.3830
↗0.024, 0.72%
08 3.3753
↗0.008, 0.23%
09 3.3780
↘0.003, 0.08%
10 3.3770
↗0.001, 0.03%
11 3.3773
↘0.000, 0.01%
12 3.3383
↗0.039, 1.15%
13 3.3348
↗0.004, 0.10%
14 3.3693
↘0.035, 1.03%
15 3.3693
↘0.000, 0.00%
16 3.3918
↘0.022, 0.67%
17 3.3915
↗0.000, 0.01%
18 3.3915
↗0.000, 0.00%
19 3.3645
↗0.027, 0.80%
20 3.3539
↗0.011, 0.31%
21 3.3268
↗0.027, 0.81%
22 3.2868
↗0.040, 1.20%
23 3.2705
↗0.016, 0.50%
24 3.2705
→0.000, 0.00%
25 3.2708
↘0.000, 0.01%
26 3.2763
↘0.006, 0.17%
27 3.2696
↗0.007, 0.20%
28 3.2843
↘0.015, 0.45%
29 3.2535
↗0.031, 0.94%
30 3.2535
↘0.000, 0.00%
31 3.2535
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-01”),3.576,3.58],[new Date(“2016-12-02”),3.475,3.48],[new Date(“2016-12-03”),3.475,3.48],[new Date(“2016-12-04”),3.475,3.48],[new Date(“2016-12-05”),3.421,3.42],[new Date(“2016-12-06”),3.408,3.41],[new Date(“2016-12-07”),3.383,3.38],[new Date(“2016-12-08”),3.375,3.38],[new Date(“2016-12-09”),3.378,3.38],[new Date(“2016-12-10”),3.377,3.38],[new Date(“2016-12-11”),3.377,3.38],[new Date(“2016-12-12”),3.338,3.34],[new Date(“2016-12-13”),3.335,3.33],[new Date(“2016-12-14”),3.369,3.37],[new Date(“2016-12-15”),3.369,3.37],[new Date(“2016-12-16”),3.392,3.39],[new Date(“2016-12-17”),3.392,3.39],[new Date(“2016-12-18”),3.391,3.39],[new Date(“2016-12-19”),3.364,3.36],[new Date(“2016-12-20”),3.354,3.35],[new Date(“2016-12-21”),3.327,3.33],[new Date(“2016-12-22”),3.287,3.29],[new Date(“2016-12-23”),3.271,3.27],[new Date(“2016-12-24”),3.271,3.27],[new Date(“2016-12-25”),3.271,3.27],[new Date(“2016-12-26”),3.276,3.28],[new Date(“2016-12-27”),3.270,3.27],[new Date(“2016-12-28”),3.284,3.28],[new Date(“2016-12-29”),3.253,3.25],[new Date(“2016-12-30”),3.254,3.25],[new Date(“2016-12-31″),3.254,3.25],]);var options = {
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
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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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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
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November, 2016
01 3.2363
02 3.2539
↘0.018, 0.54%
03 3.2594
↘0.006, 0.17%
04 3.2333
↗0.026, 0.80%
05 3.2333
→0.000, 0.00%
06 3.2529
↘0.020, 0.61%
07 3.2020
↗0.051, 1.56%
08 3.1680
↗0.034, 1.06%
09 3.2260
↘0.058, 1.83%
10 3.3963
↘0.170, 5.28%
11 3.3910
↗0.005, 0.15%
12 3.3904
↗0.001, 0.02%
13 3.3910
↘0.001, 0.02%
14 3.4394
↘0.048, 1.43%
15 3.4417
↘0.002, 0.07%
16 3.4514
↘0.010, 0.28%
17 3.4334
↗0.018, 0.52%
18 3.3922
↗0.041, 1.20%
19 3.3825
↗0.010, 0.29%
20 3.3922
↘0.010, 0.29%
21 3.3884
↗0.004, 0.11%
22 3.3505
↗0.038, 1.12%
23 3.4321
↘0.082, 2.44%
24 3.3917
↗0.040, 1.18%
25 3.4220
↘0.030, 0.89%
26 3.4208
↗0.001, 0.04%
27 3.4215
↘0.001, 0.02%
28 3.4082
↗0.013, 0.39%
29 3.4548
↘0.047, 1.37%
30 3.4073
↗0.048, 1.37%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-11-01”),3.236,3.24],[new Date(“2016-11-02”),3.254,3.25],[new Date(“2016-11-03”),3.259,3.26],[new Date(“2016-11-04”),3.233,3.23],[new Date(“2016-11-05”),3.233,3.23],[new Date(“2016-11-06”),3.253,3.25],[new Date(“2016-11-07”),3.202,3.20],[new Date(“2016-11-08”),3.168,3.17],[new Date(“2016-11-09”),3.226,3.23],[new Date(“2016-11-10”),3.396,3.40],[new Date(“2016-11-11”),3.391,3.39],[new Date(“2016-11-12”),3.390,3.39],[new Date(“2016-11-13”),3.391,3.39],[new Date(“2016-11-14”),3.439,3.44],[new Date(“2016-11-15”),3.442,3.44],[new Date(“2016-11-16”),3.451,3.45],[new Date(“2016-11-17”),3.433,3.43],[new Date(“2016-11-18”),3.392,3.39],[new Date(“2016-11-19”),3.383,3.38],[new Date(“2016-11-20”),3.392,3.39],[new Date(“2016-11-21”),3.388,3.39],[new Date(“2016-11-22”),3.350,3.35],[new Date(“2016-11-23”),3.432,3.43],[new Date(“2016-11-24”),3.392,3.39],[new Date(“2016-11-25”),3.422,3.42],[new Date(“2016-11-26”),3.421,3.42],[new Date(“2016-11-27”),3.421,3.42],[new Date(“2016-11-28”),3.408,3.41],[new Date(“2016-11-29”),3.455,3.45],[new Date(“2016-11-30″),3.407,3.41],]);var options = {
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‘colors’:[”]
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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”),3.236,3.24],[new Date(“2016-11-02”),3.254,3.25],[new Date(“2016-11-03”),3.259,3.26],[new Date(“2016-11-04”),3.233,3.23],[new Date(“2016-11-05”),3.233,3.23],[new Date(“2016-11-06”),3.253,3.25],[new Date(“2016-11-07”),3.202,3.20],[new Date(“2016-11-08”),3.168,3.17],[new Date(“2016-11-09”),3.226,3.23],[new Date(“2016-11-10”),3.396,3.40],[new Date(“2016-11-11”),3.391,3.39],[new Date(“2016-11-12”),3.390,3.39],[new Date(“2016-11-13”),3.391,3.39],[new Date(“2016-11-14”),3.439,3.44],[new Date(“2016-11-15”),3.442,3.44],[new Date(“2016-11-16”),3.451,3.45],[new Date(“2016-11-17”),3.433,3.43],[new Date(“2016-11-18”),3.392,3.39],[new Date(“2016-11-19”),3.383,3.38],[new Date(“2016-11-20”),3.392,3.39],[new Date(“2016-11-21”),3.388,3.39],[new Date(“2016-11-22”),3.350,3.35],[new Date(“2016-11-23”),3.432,3.43],[new Date(“2016-11-24”),3.392,3.39],[new Date(“2016-11-25”),3.422,3.42],[new Date(“2016-11-26”),3.421,3.42],[new Date(“2016-11-27”),3.421,3.42],[new Date(“2016-11-28”),3.408,3.41],[new Date(“2016-11-29”),3.455,3.45],[new Date(“2016-11-30″),3.407,3.41],]);var options = {
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‘colors’:[”]
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chart.draw(data, options);
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October, 2016
01 3.2610
02 3.2608
↗0.000, 0.01%
03 3.2097
↗0.051, 1.57%
04 3.2577
↘0.048, 1.50%
05 3.2290
↗0.029, 0.88%
06 3.2282
↗0.001, 0.03%
07 3.2210
↗0.007, 0.22%
08 3.2210
→0.000, 0.00%
09 3.2203
↗0.001, 0.02%
10 3.2034
↗0.017, 0.52%
11 3.1969
↗0.007, 0.20%
12 3.2017
↘0.005, 0.15%
13 3.1783
↗0.023, 0.73%
14 3.2005
↘0.022, 0.70%
15 3.2005
→0.000, 0.00%
16 3.2033
↘0.003, 0.09%
17 3.2048
↘0.002, 0.05%
18 3.1852
↗0.020, 0.61%
19 3.1671
↗0.018, 0.57%
20 3.1402
↗0.027, 0.85%
21 3.1550
↘0.015, 0.47%
22 3.1496
↗0.005, 0.17%
23 3.1550
↘0.005, 0.17%
24 3.1255
↗0.029, 0.93%
25 3.1103
↗0.015, 0.49%
26 3.1398
↘0.029, 0.95%
27 3.1663
↘0.027, 0.84%
28 3.2013
↘0.035, 1.11%
29 3.2035
↘0.002, 0.07%
30 3.2041
↘0.001, 0.02%
31 3.1992
↗0.005, 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(“2016-10-01”),3.261,3.26],[new Date(“2016-10-02”),3.261,3.26],[new Date(“2016-10-03”),3.210,3.21],[new Date(“2016-10-04”),3.258,3.26],[new Date(“2016-10-05”),3.229,3.23],[new Date(“2016-10-06”),3.228,3.23],[new Date(“2016-10-07”),3.221,3.22],[new Date(“2016-10-08”),3.221,3.22],[new Date(“2016-10-09”),3.220,3.22],[new Date(“2016-10-10”),3.203,3.20],[new Date(“2016-10-11”),3.197,3.20],[new Date(“2016-10-12”),3.202,3.20],[new Date(“2016-10-13”),3.178,3.18],[new Date(“2016-10-14”),3.201,3.20],[new Date(“2016-10-15”),3.201,3.20],[new Date(“2016-10-16”),3.203,3.20],[new Date(“2016-10-17”),3.205,3.20],[new Date(“2016-10-18”),3.185,3.19],[new Date(“2016-10-19”),3.167,3.17],[new Date(“2016-10-20”),3.140,3.14],[new Date(“2016-10-21”),3.155,3.16],[new Date(“2016-10-22”),3.150,3.15],[new Date(“2016-10-23”),3.155,3.15],[new Date(“2016-10-24”),3.125,3.13],[new Date(“2016-10-25”),3.110,3.11],[new Date(“2016-10-26”),3.140,3.14],[new Date(“2016-10-27”),3.166,3.17],[new Date(“2016-10-28”),3.201,3.20],[new Date(“2016-10-29”),3.204,3.20],[new Date(“2016-10-30”),3.204,3.20],[new Date(“2016-10-31″),3.199,3.20],]);var options = {
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title: ‘Date’
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‘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”),3.261,3.26],[new Date(“2016-10-02”),3.261,3.26],[new Date(“2016-10-03”),3.210,3.21],[new Date(“2016-10-04”),3.258,3.26],[new Date(“2016-10-05”),3.229,3.23],[new Date(“2016-10-06”),3.228,3.23],[new Date(“2016-10-07”),3.221,3.22],[new Date(“2016-10-08”),3.221,3.22],[new Date(“2016-10-09”),3.220,3.22],[new Date(“2016-10-10”),3.203,3.20],[new Date(“2016-10-11”),3.197,3.20],[new Date(“2016-10-12”),3.202,3.20],[new Date(“2016-10-13”),3.178,3.18],[new Date(“2016-10-14”),3.201,3.20],[new Date(“2016-10-15”),3.201,3.20],[new Date(“2016-10-16”),3.203,3.20],[new Date(“2016-10-17”),3.205,3.20],[new Date(“2016-10-18”),3.185,3.19],[new Date(“2016-10-19”),3.167,3.17],[new Date(“2016-10-20”),3.140,3.14],[new Date(“2016-10-21”),3.155,3.16],[new Date(“2016-10-22”),3.150,3.15],[new Date(“2016-10-23”),3.155,3.15],[new Date(“2016-10-24”),3.125,3.13],[new Date(“2016-10-25”),3.110,3.11],[new Date(“2016-10-26”),3.140,3.14],[new Date(“2016-10-27”),3.166,3.17],[new Date(“2016-10-28”),3.201,3.20],[new Date(“2016-10-29”),3.204,3.20],[new Date(“2016-10-30”),3.204,3.20],[new Date(“2016-10-31″),3.199,3.20],]);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);
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September, 2016
01 3.2542
02 3.2504
↗0.004, 0.12%
03 3.2554
↘0.005, 0.15%
04 3.2550
↗0.000, 0.01%
05 3.2672
↘0.012, 0.37%
06 3.1973
↗0.070, 2.14%
07 3.1917
↗0.006, 0.18%
08 3.2159
↘0.024, 0.76%
09 3.2690
↘0.053, 1.65%
10 3.2690
→0.000, 0.00%
11 3.2727
↘0.004, 0.11%
12 3.2479
↗0.025, 0.76%
13 3.3153
↘0.067, 2.08%
14 3.3445
↘0.029, 0.88%
15 3.3008
↗0.044, 1.31%
16 3.2620
↗0.039, 1.17%
17 3.2620
→0.000, 0.00%
18 3.2665
↘0.004, 0.14%
19 3.2722
↘0.006, 0.17%
20 3.2571
↗0.015, 0.46%
21 3.2109
↗0.046, 1.42%
22 3.2180
↘0.007, 0.22%
23 3.2440
↘0.026, 0.81%
24 3.2440
→0.000, 0.00%
25 3.2445
↘0.000, 0.01%
26 3.2416
↗0.003, 0.09%
27 3.2336
↗0.008, 0.25%
28 3.2193
↗0.014, 0.44%
29 3.2593
↘0.040, 1.24%
30 3.2615
↘0.002, 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(“2016-09-01”),3.254,3.25],[new Date(“2016-09-02”),3.250,3.25],[new Date(“2016-09-03”),3.255,3.26],[new Date(“2016-09-04”),3.255,3.26],[new Date(“2016-09-05”),3.267,3.27],[new Date(“2016-09-06”),3.197,3.20],[new Date(“2016-09-07”),3.192,3.19],[new Date(“2016-09-08”),3.216,3.22],[new Date(“2016-09-09”),3.269,3.27],[new Date(“2016-09-10”),3.269,3.27],[new Date(“2016-09-11”),3.273,3.27],[new Date(“2016-09-12”),3.248,3.25],[new Date(“2016-09-13”),3.315,3.32],[new Date(“2016-09-14”),3.345,3.34],[new Date(“2016-09-15”),3.301,3.30],[new Date(“2016-09-16”),3.262,3.26],[new Date(“2016-09-17”),3.262,3.26],[new Date(“2016-09-18”),3.266,3.27],[new Date(“2016-09-19”),3.272,3.27],[new Date(“2016-09-20”),3.257,3.26],[new Date(“2016-09-21”),3.211,3.21],[new Date(“2016-09-22”),3.218,3.22],[new Date(“2016-09-23”),3.244,3.24],[new Date(“2016-09-24”),3.244,3.24],[new Date(“2016-09-25”),3.244,3.24],[new Date(“2016-09-26”),3.242,3.24],[new Date(“2016-09-27”),3.234,3.23],[new Date(“2016-09-28”),3.219,3.22],[new Date(“2016-09-29”),3.259,3.26],[new Date(“2016-09-30″),3.262,3.26],]);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”),3.254,3.25],[new Date(“2016-09-02”),3.250,3.25],[new Date(“2016-09-03”),3.255,3.26],[new Date(“2016-09-04”),3.255,3.26],[new Date(“2016-09-05”),3.267,3.27],[new Date(“2016-09-06”),3.197,3.20],[new Date(“2016-09-07”),3.192,3.19],[new Date(“2016-09-08”),3.216,3.22],[new Date(“2016-09-09”),3.269,3.27],[new Date(“2016-09-10”),3.269,3.27],[new Date(“2016-09-11”),3.273,3.27],[new Date(“2016-09-12”),3.248,3.25],[new Date(“2016-09-13”),3.315,3.32],[new Date(“2016-09-14”),3.345,3.34],[new Date(“2016-09-15”),3.301,3.30],[new Date(“2016-09-16”),3.262,3.26],[new Date(“2016-09-17”),3.262,3.26],[new Date(“2016-09-18”),3.266,3.27],[new Date(“2016-09-19”),3.272,3.27],[new Date(“2016-09-20”),3.257,3.26],[new Date(“2016-09-21”),3.211,3.21],[new Date(“2016-09-22”),3.218,3.22],[new Date(“2016-09-23”),3.244,3.24],[new Date(“2016-09-24”),3.244,3.24],[new Date(“2016-09-25”),3.244,3.24],[new Date(“2016-09-26”),3.242,3.24],[new Date(“2016-09-27”),3.234,3.23],[new Date(“2016-09-28”),3.219,3.22],[new Date(“2016-09-29”),3.259,3.26],[new Date(“2016-09-30″),3.262,3.26],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}
August, 2016
01 3.2619
02 3.2573
↗0.005, 0.14%
03 3.2375
↗0.020, 0.61%
04 3.1901
↗0.047, 1.46%
05 3.1635
↗0.027, 0.83%
06 3.1635
→0.000, 0.00%
07 3.1859
↘0.022, 0.71%
08 3.1718
↗0.014, 0.44%
09 3.1463
↗0.025, 0.80%
10 3.1288
↗0.018, 0.56%
11 3.1427
↘0.014, 0.44%
12 3.1927
↘0.050, 1.59%
13 3.1929
↘0.000, 0.01%
14 3.1770
↗0.016, 0.50%
15 3.1858
↘0.009, 0.28%
16 3.2022
↘0.016, 0.51%
17 3.2048
↘0.003, 0.08%
18 3.2382
↘0.033, 1.04%
19 3.2055
↗0.033, 1.01%
20 3.2058
↘0.000, 0.01%
21 3.2280
↘0.022, 0.69%
22 3.1997
↗0.028, 0.88%
23 3.2365
↘0.037, 1.15%
24 3.2243
↗0.012, 0.38%
25 3.2288
↘0.005, 0.14%
26 3.2645
↘0.036, 1.11%
27 3.2641
↗0.000, 0.01%
28 3.2651
↘0.001, 0.03%
29 3.2307
↗0.034, 1.05%
30 3.2378
↘0.007, 0.22%
31 3.2270
↗0.011, 0.33%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-08-01”),3.262,3.26],[new Date(“2016-08-02”),3.257,3.26],[new Date(“2016-08-03”),3.237,3.24],[new Date(“2016-08-04”),3.190,3.19],[new Date(“2016-08-05”),3.164,3.16],[new Date(“2016-08-06”),3.164,3.16],[new Date(“2016-08-07”),3.186,3.19],[new Date(“2016-08-08”),3.172,3.17],[new Date(“2016-08-09”),3.146,3.15],[new Date(“2016-08-10”),3.129,3.13],[new Date(“2016-08-11”),3.143,3.14],[new Date(“2016-08-12”),3.193,3.19],[new Date(“2016-08-13”),3.193,3.19],[new Date(“2016-08-14”),3.177,3.18],[new Date(“2016-08-15”),3.186,3.19],[new Date(“2016-08-16”),3.202,3.20],[new Date(“2016-08-17”),3.205,3.20],[new Date(“2016-08-18”),3.238,3.24],[new Date(“2016-08-19”),3.206,3.21],[new Date(“2016-08-20”),3.206,3.21],[new Date(“2016-08-21”),3.228,3.23],[new Date(“2016-08-22”),3.200,3.20],[new Date(“2016-08-23”),3.236,3.24],[new Date(“2016-08-24”),3.224,3.22],[new Date(“2016-08-25”),3.229,3.23],[new Date(“2016-08-26”),3.265,3.26],[new Date(“2016-08-27”),3.264,3.26],[new Date(“2016-08-28”),3.265,3.27],[new Date(“2016-08-29”),3.231,3.23],[new Date(“2016-08-30”),3.238,3.24],[new Date(“2016-08-31″),3.227,3.23],]);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”),3.262,3.26],[new Date(“2016-08-02”),3.257,3.26],[new Date(“2016-08-03”),3.237,3.24],[new Date(“2016-08-04”),3.190,3.19],[new Date(“2016-08-05”),3.164,3.16],[new Date(“2016-08-06”),3.164,3.16],[new Date(“2016-08-07”),3.186,3.19],[new Date(“2016-08-08”),3.172,3.17],[new Date(“2016-08-09”),3.146,3.15],[new Date(“2016-08-10”),3.129,3.13],[new Date(“2016-08-11”),3.143,3.14],[new Date(“2016-08-12”),3.193,3.19],[new Date(“2016-08-13”),3.193,3.19],[new Date(“2016-08-14”),3.177,3.18],[new Date(“2016-08-15”),3.186,3.19],[new Date(“2016-08-16”),3.202,3.20],[new Date(“2016-08-17”),3.205,3.20],[new Date(“2016-08-18”),3.238,3.24],[new Date(“2016-08-19”),3.206,3.21],[new Date(“2016-08-20”),3.206,3.21],[new Date(“2016-08-21”),3.228,3.23],[new Date(“2016-08-22”),3.200,3.20],[new Date(“2016-08-23”),3.236,3.24],[new Date(“2016-08-24”),3.224,3.22],[new Date(“2016-08-25”),3.229,3.23],[new Date(“2016-08-26”),3.265,3.26],[new Date(“2016-08-27”),3.264,3.26],[new Date(“2016-08-28”),3.265,3.27],[new Date(“2016-08-29”),3.231,3.23],[new Date(“2016-08-30”),3.238,3.24],[new Date(“2016-08-31″),3.227,3.23],]);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_8’));
chart.draw(data, options);
}
July, 2016
01 3.2352
02 3.2325
↗0.003, 0.08%
03 3.2321
↗0.000, 0.01%
04 3.2725
↘0.040, 1.25%
05 3.2905
↘0.018, 0.55%
06 3.3217
↘0.031, 0.95%
07 3.3551
↘0.033, 1.00%
08 3.3062
↗0.049, 1.46%
09 3.3071
↘0.001, 0.03%
10 3.2978
↗0.009, 0.28%
11 3.3056
↘0.008, 0.24%
12 3.2972
↗0.008, 0.26%
13 3.2711
↗0.026, 0.79%
14 3.2602
↗0.011, 0.33%
15 3.2811
↘0.021, 0.64%
16 3.2811
→0.000, 0.00%
17 3.2793
↗0.002, 0.05%
18 3.2525
↗0.027, 0.82%
19 3.2512
↗0.001, 0.04%
20 3.2546
↘0.003, 0.10%
21 3.2716
↘0.017, 0.52%
22 3.2556
↗0.016, 0.49%
23 3.2559
↘0.000, 0.01%
24 3.2803
↘0.024, 0.75%
25 3.2857
↘0.005, 0.16%
26 3.2735
↗0.012, 0.37%
27 3.2608
↗0.013, 0.39%
28 3.2855
↘0.025, 0.76%
29 3.2404
↗0.045, 1.37%
30 3.2465
↘0.006, 0.19%
31 3.2396
↗0.007, 0.21%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-07-01”),3.235,3.24],[new Date(“2016-07-02”),3.232,3.23],[new Date(“2016-07-03”),3.232,3.23],[new Date(“2016-07-04”),3.272,3.27],[new Date(“2016-07-05”),3.291,3.29],[new Date(“2016-07-06”),3.322,3.32],[new Date(“2016-07-07”),3.355,3.36],[new Date(“2016-07-08”),3.306,3.31],[new Date(“2016-07-09”),3.307,3.31],[new Date(“2016-07-10”),3.298,3.30],[new Date(“2016-07-11”),3.306,3.31],[new Date(“2016-07-12”),3.297,3.30],[new Date(“2016-07-13”),3.271,3.27],[new Date(“2016-07-14”),3.260,3.26],[new Date(“2016-07-15”),3.281,3.28],[new Date(“2016-07-16”),3.281,3.28],[new Date(“2016-07-17”),3.279,3.28],[new Date(“2016-07-18”),3.253,3.25],[new Date(“2016-07-19”),3.251,3.25],[new Date(“2016-07-20”),3.255,3.25],[new Date(“2016-07-21”),3.272,3.27],[new Date(“2016-07-22”),3.256,3.26],[new Date(“2016-07-23”),3.256,3.26],[new Date(“2016-07-24”),3.280,3.28],[new Date(“2016-07-25”),3.286,3.29],[new Date(“2016-07-26”),3.273,3.27],[new Date(“2016-07-27”),3.261,3.26],[new Date(“2016-07-28”),3.285,3.29],[new Date(“2016-07-29”),3.240,3.24],[new Date(“2016-07-30”),3.247,3.25],[new Date(“2016-07-31″),3.240,3.24],]);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”),3.235,3.24],[new Date(“2016-07-02”),3.232,3.23],[new Date(“2016-07-03”),3.232,3.23],[new Date(“2016-07-04”),3.272,3.27],[new Date(“2016-07-05”),3.291,3.29],[new Date(“2016-07-06”),3.322,3.32],[new Date(“2016-07-07”),3.355,3.36],[new Date(“2016-07-08”),3.306,3.31],[new Date(“2016-07-09”),3.307,3.31],[new Date(“2016-07-10”),3.298,3.30],[new Date(“2016-07-11”),3.306,3.31],[new Date(“2016-07-12”),3.297,3.30],[new Date(“2016-07-13”),3.271,3.27],[new Date(“2016-07-14”),3.260,3.26],[new Date(“2016-07-15”),3.281,3.28],[new Date(“2016-07-16”),3.281,3.28],[new Date(“2016-07-17”),3.279,3.28],[new Date(“2016-07-18”),3.253,3.25],[new Date(“2016-07-19”),3.251,3.25],[new Date(“2016-07-20”),3.255,3.25],[new Date(“2016-07-21”),3.272,3.27],[new Date(“2016-07-22”),3.256,3.26],[new Date(“2016-07-23”),3.256,3.26],[new Date(“2016-07-24”),3.280,3.28],[new Date(“2016-07-25”),3.286,3.29],[new Date(“2016-07-26”),3.273,3.27],[new Date(“2016-07-27”),3.261,3.26],[new Date(“2016-07-28”),3.285,3.29],[new Date(“2016-07-29”),3.240,3.24],[new Date(“2016-07-30”),3.247,3.25],[new Date(“2016-07-31″),3.240,3.24],]);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_7’));
chart.draw(data, options);
}
June, 2016
01 3.6037
02 3.5887
↗0.015, 0.41%
03 3.5414
↗0.047, 1.32%
04 3.5359
↗0.006, 0.16%
05 3.5288
↗0.007, 0.20%
06 3.4967
↗0.032, 0.91%
07 3.4574
↗0.039, 1.12%
08 3.3919
↗0.065, 1.89%
09 3.4034
↘0.011, 0.34%
10 3.4083
↘0.005, 0.15%
11 3.4181
↘0.010, 0.29%
12 3.4206
↘0.002, 0.07%
13 3.4711
↘0.051, 1.48%
14 3.4718
↘0.001, 0.02%
15 3.4760
↘0.004, 0.12%
16 3.4671
↗0.009, 0.26%
17 3.4289
↗0.038, 1.10%
18 3.4240
↗0.005, 0.14%
19 3.4141
↗0.010, 0.29%
20 3.3990
↗0.015, 0.44%
21 3.4129
↘0.014, 0.41%
22 3.3810
↗0.032, 0.93%
23 3.3572
↗0.024, 0.70%
24 3.3665
↘0.009, 0.28%
25 3.3710
↘0.005, 0.13%
26 3.3765
↘0.005, 0.16%
27 3.3886
↘0.012, 0.36%
28 3.3205
↗0.068, 2.01%
29 3.2603
↗0.060, 1.81%
30 3.2262
↗0.034, 1.05%
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(“2016-06-01”),3.604,3.60],[new Date(“2016-06-02”),3.589,3.59],[new Date(“2016-06-03”),3.541,3.54],[new Date(“2016-06-04”),3.536,3.54],[new Date(“2016-06-05”),3.529,3.53],[new Date(“2016-06-06”),3.497,3.50],[new Date(“2016-06-07”),3.457,3.46],[new Date(“2016-06-08”),3.392,3.39],[new Date(“2016-06-09”),3.403,3.40],[new Date(“2016-06-10”),3.408,3.41],[new Date(“2016-06-11”),3.418,3.42],[new Date(“2016-06-12”),3.421,3.42],[new Date(“2016-06-13”),3.471,3.47],[new Date(“2016-06-14”),3.472,3.47],[new Date(“2016-06-15”),3.476,3.48],[new Date(“2016-06-16”),3.467,3.47],[new Date(“2016-06-17”),3.429,3.43],[new Date(“2016-06-18”),3.424,3.42],[new Date(“2016-06-19”),3.414,3.41],[new Date(“2016-06-20”),3.399,3.40],[new Date(“2016-06-21”),3.413,3.41],[new Date(“2016-06-22”),3.381,3.38],[new Date(“2016-06-23”),3.357,3.36],[new Date(“2016-06-24”),3.367,3.37],[new Date(“2016-06-25”),3.371,3.37],[new Date(“2016-06-26”),3.377,3.38],[new Date(“2016-06-27”),3.389,3.39],[new Date(“2016-06-28”),3.320,3.32],[new Date(“2016-06-29”),3.260,3.26],[new Date(“2016-06-30″),3.226,3.23],]);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_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”),3.604,3.60],[new Date(“2016-06-02”),3.589,3.59],[new Date(“2016-06-03”),3.541,3.54],[new Date(“2016-06-04”),3.536,3.54],[new Date(“2016-06-05”),3.529,3.53],[new Date(“2016-06-06”),3.497,3.50],[new Date(“2016-06-07”),3.457,3.46],[new Date(“2016-06-08”),3.392,3.39],[new Date(“2016-06-09”),3.403,3.40],[new Date(“2016-06-10”),3.408,3.41],[new Date(“2016-06-11”),3.418,3.42],[new Date(“2016-06-12”),3.421,3.42],[new Date(“2016-06-13”),3.471,3.47],[new Date(“2016-06-14”),3.472,3.47],[new Date(“2016-06-15”),3.476,3.48],[new Date(“2016-06-16”),3.467,3.47],[new Date(“2016-06-17”),3.429,3.43],[new Date(“2016-06-18”),3.424,3.42],[new Date(“2016-06-19”),3.414,3.41],[new Date(“2016-06-20”),3.399,3.40],[new Date(“2016-06-21”),3.413,3.41],[new Date(“2016-06-22”),3.381,3.38],[new Date(“2016-06-23”),3.357,3.36],[new Date(“2016-06-24”),3.367,3.37],[new Date(“2016-06-25”),3.371,3.37],[new Date(“2016-06-26”),3.377,3.38],[new Date(“2016-06-27”),3.389,3.39],[new Date(“2016-06-28”),3.320,3.32],[new Date(“2016-06-29”),3.260,3.26],[new Date(“2016-06-30″),3.226,3.23],]);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_6’));
chart.draw(data, options);
}
May, 2016
01 3.4353
02 3.4876
↘0.052, 1.52%
03 3.5384
↘0.051, 1.46%
04 3.5435
↘0.005, 0.14%
05 3.5393
↗0.004, 0.12%
06 3.5111
↗0.028, 0.80%
07 3.5086
↗0.002, 0.07%
08 3.5034
↗0.005, 0.15%
09 3.5147
↘0.011, 0.32%
10 3.4831
↗0.032, 0.90%
11 3.4617
↗0.021, 0.61%
12 3.4801
↘0.018, 0.53%
13 3.5182
↘0.038, 1.10%
14 3.5235
↘0.005, 0.15%
15 3.5332
↘0.010, 0.27%
16 3.5134
↗0.020, 0.56%
17 3.5083
↗0.005, 0.15%
18 3.5512
↘0.043, 1.23%
19 3.5516
↘0.000, 0.01%
20 3.5572
↘0.006, 0.16%
21 3.5557
↗0.002, 0.04%
22 3.5560
↘0.000, 0.01%
23 3.5691
↘0.013, 0.37%
24 3.5682
↗0.001, 0.03%
25 3.5796
↘0.011, 0.32%
26 3.5831
↘0.003, 0.10%
27 3.6057
↘0.023, 0.63%
28 3.6081
↘0.002, 0.07%
29 3.6128
↘0.005, 0.13%
30 3.5801
↗0.033, 0.90%
31 3.6056
↘0.026, 0.71%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),3.435,3.44],[new Date(“2016-05-02”),3.488,3.49],[new Date(“2016-05-03”),3.538,3.54],[new Date(“2016-05-04”),3.543,3.54],[new Date(“2016-05-05”),3.539,3.54],[new Date(“2016-05-06”),3.511,3.51],[new Date(“2016-05-07”),3.509,3.51],[new Date(“2016-05-08”),3.503,3.50],[new Date(“2016-05-09”),3.515,3.51],[new Date(“2016-05-10”),3.483,3.48],[new Date(“2016-05-11”),3.462,3.46],[new Date(“2016-05-12”),3.480,3.48],[new Date(“2016-05-13”),3.518,3.52],[new Date(“2016-05-14”),3.524,3.52],[new Date(“2016-05-15”),3.533,3.53],[new Date(“2016-05-16”),3.513,3.51],[new Date(“2016-05-17”),3.508,3.51],[new Date(“2016-05-18”),3.551,3.55],[new Date(“2016-05-19”),3.552,3.55],[new Date(“2016-05-20”),3.557,3.56],[new Date(“2016-05-21”),3.556,3.56],[new Date(“2016-05-22”),3.556,3.56],[new Date(“2016-05-23”),3.569,3.57],[new Date(“2016-05-24”),3.568,3.57],[new Date(“2016-05-25”),3.580,3.58],[new Date(“2016-05-26”),3.583,3.58],[new Date(“2016-05-27”),3.606,3.61],[new Date(“2016-05-28”),3.608,3.61],[new Date(“2016-05-29”),3.613,3.61],[new Date(“2016-05-30”),3.580,3.58],[new Date(“2016-05-31″),3.606,3.61],]);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);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),3.435,3.44],[new Date(“2016-05-02”),3.488,3.49],[new Date(“2016-05-03”),3.538,3.54],[new Date(“2016-05-04”),3.543,3.54],[new Date(“2016-05-05”),3.539,3.54],[new Date(“2016-05-06”),3.511,3.51],[new Date(“2016-05-07”),3.509,3.51],[new Date(“2016-05-08”),3.503,3.50],[new Date(“2016-05-09”),3.515,3.51],[new Date(“2016-05-10”),3.483,3.48],[new Date(“2016-05-11”),3.462,3.46],[new Date(“2016-05-12”),3.480,3.48],[new Date(“2016-05-13”),3.518,3.52],[new Date(“2016-05-14”),3.524,3.52],[new Date(“2016-05-15”),3.533,3.53],[new Date(“2016-05-16”),3.513,3.51],[new Date(“2016-05-17”),3.508,3.51],[new Date(“2016-05-18”),3.551,3.55],[new Date(“2016-05-19”),3.552,3.55],[new Date(“2016-05-20”),3.557,3.56],[new Date(“2016-05-21”),3.556,3.56],[new Date(“2016-05-22”),3.556,3.56],[new Date(“2016-05-23”),3.569,3.57],[new Date(“2016-05-24”),3.568,3.57],[new Date(“2016-05-25”),3.580,3.58],[new Date(“2016-05-26”),3.583,3.58],[new Date(“2016-05-27”),3.606,3.61],[new Date(“2016-05-28”),3.608,3.61],[new Date(“2016-05-29”),3.613,3.61],[new Date(“2016-05-30”),3.580,3.58],[new Date(“2016-05-31″),3.606,3.61],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}
April, 2016
01 3.5608
02 3.5592
↗0.002, 0.04%
03 3.5540
↗0.005, 0.15%
04 3.6088
↘0.055, 1.54%
05 3.6559
↘0.047, 1.31%
06 3.6402
↗0.016, 0.43%
07 3.6858
↘0.046, 1.25%
08 3.6038
↗0.082, 2.23%
09 3.6042
↘0.000, 0.01%
10 3.5897
↗0.014, 0.40%
11 3.5122
↗0.078, 2.16%
12 3.5023
↗0.010, 0.28%
13 3.4975
↗0.005, 0.14%
14 3.4847
↗0.013, 0.37%
15 3.5292
↘0.045, 1.28%
16 3.5284
↗0.001, 0.02%
17 3.5326
↘0.004, 0.12%
18 3.6000
↘0.067, 1.91%
19 3.5346
↗0.065, 1.82%
20 3.5405
↘0.006, 0.17%
21 3.5338
↗0.007, 0.19%
22 3.5591
↘0.025, 0.71%
23 3.5626
↘0.004, 0.10%
24 3.5662
↘0.004, 0.10%
25 3.5583
↗0.008, 0.22%
26 3.5327
↗0.026, 0.72%
27 3.5294
↗0.003, 0.09%
28 3.4960
↗0.033, 0.95%
29 3.4517
↗0.044, 1.27%
30 3.4435
↗0.008, 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(“2016-04-01”),3.561,3.56],[new Date(“2016-04-02”),3.559,3.56],[new Date(“2016-04-03”),3.554,3.55],[new Date(“2016-04-04”),3.609,3.61],[new Date(“2016-04-05”),3.656,3.66],[new Date(“2016-04-06”),3.640,3.64],[new Date(“2016-04-07”),3.686,3.69],[new Date(“2016-04-08”),3.604,3.60],[new Date(“2016-04-09”),3.604,3.60],[new Date(“2016-04-10”),3.590,3.59],[new Date(“2016-04-11”),3.512,3.51],[new Date(“2016-04-12”),3.502,3.50],[new Date(“2016-04-13”),3.497,3.50],[new Date(“2016-04-14”),3.485,3.48],[new Date(“2016-04-15”),3.529,3.53],[new Date(“2016-04-16”),3.528,3.53],[new Date(“2016-04-17”),3.533,3.53],[new Date(“2016-04-18”),3.600,3.60],[new Date(“2016-04-19”),3.535,3.53],[new Date(“2016-04-20”),3.541,3.54],[new Date(“2016-04-21”),3.534,3.53],[new Date(“2016-04-22”),3.559,3.56],[new Date(“2016-04-23”),3.563,3.56],[new Date(“2016-04-24”),3.566,3.57],[new Date(“2016-04-25”),3.558,3.56],[new Date(“2016-04-26”),3.533,3.53],[new Date(“2016-04-27”),3.529,3.53],[new Date(“2016-04-28”),3.496,3.50],[new Date(“2016-04-29”),3.452,3.45],[new Date(“2016-04-30″),3.444,3.44],]);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);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-04-01”),3.561,3.56],[new Date(“2016-04-02”),3.559,3.56],[new Date(“2016-04-03”),3.554,3.55],[new Date(“2016-04-04”),3.609,3.61],[new Date(“2016-04-05”),3.656,3.66],[new Date(“2016-04-06”),3.640,3.64],[new Date(“2016-04-07”),3.686,3.69],[new Date(“2016-04-08”),3.604,3.60],[new Date(“2016-04-09”),3.604,3.60],[new Date(“2016-04-10”),3.590,3.59],[new Date(“2016-04-11”),3.512,3.51],[new Date(“2016-04-12”),3.502,3.50],[new Date(“2016-04-13”),3.497,3.50],[new Date(“2016-04-14”),3.485,3.48],[new Date(“2016-04-15”),3.529,3.53],[new Date(“2016-04-16”),3.528,3.53],[new Date(“2016-04-17”),3.533,3.53],[new Date(“2016-04-18”),3.600,3.60],[new Date(“2016-04-19”),3.535,3.53],[new Date(“2016-04-20”),3.541,3.54],[new Date(“2016-04-21”),3.534,3.53],[new Date(“2016-04-22”),3.559,3.56],[new Date(“2016-04-23”),3.563,3.56],[new Date(“2016-04-24”),3.566,3.57],[new Date(“2016-04-25”),3.558,3.56],[new Date(“2016-04-26”),3.533,3.53],[new Date(“2016-04-27”),3.529,3.53],[new Date(“2016-04-28”),3.496,3.50],[new Date(“2016-04-29”),3.452,3.45],[new Date(“2016-04-30″),3.444,3.44],]);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 3.9449
02 3.9164
↗0.028, 0.72%
03 3.8223
↗0.094, 2.40%
04 3.7787
↗0.044, 1.14%
05 3.7599
↗0.019, 0.50%
06 3.7648
↘0.005, 0.13%
07 3.7786
↘0.014, 0.37%
08 3.7579
↗0.021, 0.55%
09 3.7037
↗0.054, 1.44%
10 3.6444
↗0.059, 1.60%
11 3.6016
↗0.043, 1.18%
12 3.5904
↗0.011, 0.31%
13 3.5853
↗0.005, 0.14%
14 3.6487
↘0.063, 1.77%
15 3.7324
↘0.084, 2.30%
16 3.7313
↗0.001, 0.03%
17 3.6560
↗0.075, 2.02%
18 3.6409
↗0.015, 0.41%
19 3.6236
↗0.017, 0.48%
20 3.6246
↘0.001, 0.03%
21 3.6170
↗0.008, 0.21%
22 3.5975
↗0.020, 0.54%
23 3.6694
↘0.072, 2.00%
24 3.6666
↗0.003, 0.08%
25 3.6845
↘0.018, 0.49%
26 3.6836
↗0.001, 0.02%
27 3.6849
↘0.001, 0.03%
28 3.6717
↗0.013, 0.36%
29 3.6486
↗0.023, 0.63%
30 3.6121
↗0.037, 1.00%
31 3.5981
↗0.014, 0.39%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-03-01”),3.945,3.94],[new Date(“2016-03-02”),3.916,3.92],[new Date(“2016-03-03”),3.822,3.82],[new Date(“2016-03-04”),3.779,3.78],[new Date(“2016-03-05”),3.760,3.76],[new Date(“2016-03-06”),3.765,3.76],[new Date(“2016-03-07”),3.779,3.78],[new Date(“2016-03-08”),3.758,3.76],[new Date(“2016-03-09”),3.704,3.70],[new Date(“2016-03-10”),3.644,3.64],[new Date(“2016-03-11”),3.602,3.60],[new Date(“2016-03-12”),3.590,3.59],[new Date(“2016-03-13”),3.585,3.59],[new Date(“2016-03-14”),3.649,3.65],[new Date(“2016-03-15”),3.732,3.73],[new Date(“2016-03-16”),3.731,3.73],[new Date(“2016-03-17”),3.656,3.66],[new Date(“2016-03-18”),3.641,3.64],[new Date(“2016-03-19”),3.624,3.62],[new Date(“2016-03-20”),3.625,3.62],[new Date(“2016-03-21”),3.617,3.62],[new Date(“2016-03-22”),3.597,3.60],[new Date(“2016-03-23”),3.669,3.67],[new Date(“2016-03-24”),3.667,3.67],[new Date(“2016-03-25”),3.684,3.68],[new Date(“2016-03-26”),3.684,3.68],[new Date(“2016-03-27”),3.685,3.68],[new Date(“2016-03-28”),3.672,3.67],[new Date(“2016-03-29”),3.649,3.65],[new Date(“2016-03-30”),3.612,3.61],[new Date(“2016-03-31″),3.598,3.60],]);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_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”),3.945,3.94],[new Date(“2016-03-02”),3.916,3.92],[new Date(“2016-03-03”),3.822,3.82],[new Date(“2016-03-04”),3.779,3.78],[new Date(“2016-03-05”),3.760,3.76],[new Date(“2016-03-06”),3.765,3.76],[new Date(“2016-03-07”),3.779,3.78],[new Date(“2016-03-08”),3.758,3.76],[new Date(“2016-03-09”),3.704,3.70],[new Date(“2016-03-10”),3.644,3.64],[new Date(“2016-03-11”),3.602,3.60],[new Date(“2016-03-12”),3.590,3.59],[new Date(“2016-03-13”),3.585,3.59],[new Date(“2016-03-14”),3.649,3.65],[new Date(“2016-03-15”),3.732,3.73],[new Date(“2016-03-16”),3.731,3.73],[new Date(“2016-03-17”),3.656,3.66],[new Date(“2016-03-18”),3.641,3.64],[new Date(“2016-03-19”),3.624,3.62],[new Date(“2016-03-20”),3.625,3.62],[new Date(“2016-03-21”),3.617,3.62],[new Date(“2016-03-22”),3.597,3.60],[new Date(“2016-03-23”),3.669,3.67],[new Date(“2016-03-24”),3.667,3.67],[new Date(“2016-03-25”),3.684,3.68],[new Date(“2016-03-26”),3.684,3.68],[new Date(“2016-03-27”),3.685,3.68],[new Date(“2016-03-28”),3.672,3.67],[new Date(“2016-03-29”),3.649,3.65],[new Date(“2016-03-30”),3.612,3.61],[new Date(“2016-03-31″),3.598,3.60],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}
February, 2016
01 3.9719
02 3.9900
↘0.018, 0.46%
03 3.9116
↗0.078, 1.96%
04 3.9048
↗0.007, 0.18%
05 3.8999
↗0.005, 0.12%
06 3.9019
↘0.002, 0.05%
07 3.9046
↘0.003, 0.07%
08 3.8980
↗0.007, 0.17%
09 3.8916
↗0.006, 0.17%
10 3.9204
↘0.029, 0.74%
11 3.9723
↘0.052, 1.32%
12 3.9929
↘0.021, 0.52%
13 4.0011
↘0.008, 0.21%
14 4.0014
↘0.000, 0.01%
15 4.0036
↘0.002, 0.05%
16 4.0554
↘0.052, 1.29%
17 3.9925
↗0.063, 1.55%
18 4.0303
↘0.038, 0.95%
19 4.0214
↗0.009, 0.22%
20 4.0245
↘0.003, 0.08%
21 4.0228
↗0.002, 0.04%
22 3.9590
↗0.064, 1.59%
23 3.9636
↘0.005, 0.12%
24 3.9575
↗0.006, 0.15%
25 3.9579
↘0.000, 0.01%
26 3.9869
↘0.029, 0.73%
27 3.9896
↘0.003, 0.07%
28 3.9944
↘0.005, 0.12%
29 4.0132
↘0.019, 0.47%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-02-01”),3.972,3.97],[new Date(“2016-02-02”),3.990,3.99],[new Date(“2016-02-03”),3.912,3.91],[new Date(“2016-02-04”),3.905,3.90],[new Date(“2016-02-05”),3.900,3.90],[new Date(“2016-02-06”),3.902,3.90],[new Date(“2016-02-07”),3.905,3.90],[new Date(“2016-02-08”),3.898,3.90],[new Date(“2016-02-09”),3.892,3.89],[new Date(“2016-02-10”),3.920,3.92],[new Date(“2016-02-11”),3.972,3.97],[new Date(“2016-02-12”),3.993,3.99],[new Date(“2016-02-13”),4.001,4.00],[new Date(“2016-02-14”),4.001,4.00],[new Date(“2016-02-15”),4.004,4.00],[new Date(“2016-02-16”),4.055,4.06],[new Date(“2016-02-17”),3.993,3.99],[new Date(“2016-02-18”),4.030,4.03],[new Date(“2016-02-19”),4.021,4.02],[new Date(“2016-02-20”),4.025,4.02],[new Date(“2016-02-21”),4.023,4.02],[new Date(“2016-02-22”),3.959,3.96],[new Date(“2016-02-23”),3.964,3.96],[new Date(“2016-02-24”),3.958,3.96],[new Date(“2016-02-25”),3.958,3.96],[new Date(“2016-02-26”),3.987,3.99],[new Date(“2016-02-27”),3.990,3.99],[new Date(“2016-02-28”),3.994,3.99],[new Date(“2016-02-29″),4.013,4.01],]);var options = {
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title: ‘Date’
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vAxis: {
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”);
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January, 2016
01 3.9527
02 3.9620
↘0.009, 0.23%
03 3.9615
↗0.001, 0.01%
04 4.0250
↘0.064, 1.60%
05 4.0186
↗0.006, 0.16%
06 4.0261
↘0.008, 0.19%
07 4.0412
↘0.015, 0.38%
08 4.0280
↗0.013, 0.33%
09 4.0283
↘0.000, 0.01%
10 4.0243
↗0.004, 0.10%
11 4.0482
↘0.024, 0.59%
12 4.0289
↗0.019, 0.48%
13 4.0236
↗0.005, 0.13%
14 4.0070
↗0.017, 0.41%
15 4.0414
↘0.034, 0.86%
16 4.0437
↘0.002, 0.06%
17 4.0438
↘0.000, 0.00%
18 4.0505
↘0.007, 0.17%
19 4.0583
↘0.008, 0.19%
20 4.0878
↘0.030, 0.73%
21 4.1421
↘0.054, 1.33%
22 4.1029
↗0.039, 0.95%
23 4.1053
↘0.002, 0.06%
24 4.0950
↗0.010, 0.25%
25 4.0912
↗0.004, 0.09%
26 4.0779
↗0.013, 0.33%
27 4.1074
↘0.029, 0.72%
28 4.0703
↗0.037, 0.90%
29 4.0186
↗0.052, 1.27%
30 4.0098
↗0.009, 0.22%
31 3.9997
↗0.010, 0.25%
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