Australian Dollar AUD 2016 Conversion Rates
- Opening Value is 1.373930 AUD per Dollar
- Closing Value is 1.386204 AUD per Dollar
- Change in Value during 2016 is 0.0123 which is 0.89%
- Best Performance is on 2016-04-19 with 1.280881 AUD per Dollar
- Lowest Performance is on 2016-01-17 with 1.459282 AUD per Dollar
- Average Value is 1.3453 AUD per Dollar
- Swing Between the higest and the lowest is 0.1784 per Dollar, that is 12.98% compared to the opening value.
USD to AUD Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2016-12-31 | 1.3862 AUD |
| 2016-11-30 | 1.3536 AUD |
| 2016-10-31 | 1.3146 AUD |
| 2016-09-30 | 1.3041 AUD |
| 2016-08-31 | 1.3299 AUD |
| 2016-07-31 | 1.3178 AUD |
| 2016-06-30 | 1.3424 AUD |
| 2016-05-31 | 1.3825 AUD |
| 2016-04-30 | 1.3146 AUD |
| 2016-03-31 | 1.3045 AUD |
| 2016-02-29 | 1.4004 AUD |
| 2016-01-31 | 1.4132 AUD |
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-31”),1.386,1.39],[new Date(“2016-11-30”),1.354,1.35],[new Date(“2016-10-31”),1.315,1.31],[new Date(“2016-09-30”),1.304,1.30],[new Date(“2016-08-31”),1.330,1.33],[new Date(“2016-07-31”),1.318,1.32],[new Date(“2016-06-30”),1.342,1.34],[new Date(“2016-05-31”),1.382,1.38],[new Date(“2016-04-30”),1.315,1.31],[new Date(“2016-03-31”),1.305,1.30],[new Date(“2016-02-29”),1.400,1.40],[new Date(“2016-01-31”),1.413,1.41],]);var options = {
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title: ‘Date’
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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”),1.386,1.39],[new Date(“2016-11-30”),1.354,1.35],[new Date(“2016-10-31”),1.315,1.31],[new Date(“2016-09-30”),1.304,1.30],[new Date(“2016-08-31”),1.330,1.33],[new Date(“2016-07-31”),1.318,1.32],[new Date(“2016-06-30”),1.342,1.34],[new Date(“2016-05-31”),1.382,1.38],[new Date(“2016-04-30”),1.315,1.31],[new Date(“2016-03-31”),1.305,1.30],[new Date(“2016-02-29”),1.400,1.40],[new Date(“2016-01-31”),1.413,1.41],]);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 1.3474
02 1.3391
↗0.008, 0.62%
03 1.3391
→0.000, 0.00%
04 1.3429
↘0.004, 0.28%
05 1.3379
↗0.005, 0.37%
06 1.3382
↘0.000, 0.02%
07 1.3357
↗0.002, 0.19%
08 1.3406
↘0.005, 0.37%
09 1.3408
↘0.000, 0.02%
10 1.3408
→0.000, 0.00%
11 1.3422
↘0.001, 0.10%
12 1.3334
↗0.009, 0.66%
13 1.3343
↘0.001, 0.07%
14 1.3491
↘0.015, 1.11%
15 1.3573
↘0.008, 0.61%
16 1.3672
↘0.010, 0.73%
17 1.3672
→0.000, 0.00%
18 1.3714
↘0.004, 0.31%
19 1.3791
↘0.008, 0.56%
20 1.3753
↗0.004, 0.28%
21 1.3820
↘0.007, 0.49%
22 1.3847
↘0.003, 0.20%
23 1.3924
↘0.008, 0.56%
24 1.3924
→0.000, 0.00%
25 1.3929
↘0.000, 0.04%
26 1.3926
↗0.000, 0.02%
27 1.3906
↗0.002, 0.14%
28 1.3918
↘0.001, 0.09%
29 1.3820
↗0.010, 0.70%
30 1.3862
↘0.004, 0.30%
31 1.3862
→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”),1.347,1.35],[new Date(“2016-12-02”),1.339,1.34],[new Date(“2016-12-03”),1.339,1.34],[new Date(“2016-12-04”),1.343,1.34],[new Date(“2016-12-05”),1.338,1.34],[new Date(“2016-12-06”),1.338,1.34],[new Date(“2016-12-07”),1.336,1.34],[new Date(“2016-12-08”),1.341,1.34],[new Date(“2016-12-09”),1.341,1.34],[new Date(“2016-12-10”),1.341,1.34],[new Date(“2016-12-11”),1.342,1.34],[new Date(“2016-12-12”),1.333,1.33],[new Date(“2016-12-13”),1.334,1.33],[new Date(“2016-12-14”),1.349,1.35],[new Date(“2016-12-15”),1.357,1.36],[new Date(“2016-12-16”),1.367,1.37],[new Date(“2016-12-17”),1.367,1.37],[new Date(“2016-12-18”),1.371,1.37],[new Date(“2016-12-19”),1.379,1.38],[new Date(“2016-12-20”),1.375,1.38],[new Date(“2016-12-21”),1.382,1.38],[new Date(“2016-12-22”),1.385,1.38],[new Date(“2016-12-23”),1.392,1.39],[new Date(“2016-12-24”),1.392,1.39],[new Date(“2016-12-25”),1.393,1.39],[new Date(“2016-12-26”),1.393,1.39],[new Date(“2016-12-27”),1.391,1.39],[new Date(“2016-12-28”),1.392,1.39],[new Date(“2016-12-29”),1.382,1.38],[new Date(“2016-12-30”),1.386,1.39],[new Date(“2016-12-31″),1.386,1.39],]);var options = {
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‘legend’: {‘position’: ‘none’},
‘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”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-01”),1.347,1.35],[new Date(“2016-12-02”),1.339,1.34],[new Date(“2016-12-03”),1.339,1.34],[new Date(“2016-12-04”),1.343,1.34],[new Date(“2016-12-05”),1.338,1.34],[new Date(“2016-12-06”),1.338,1.34],[new Date(“2016-12-07”),1.336,1.34],[new Date(“2016-12-08”),1.341,1.34],[new Date(“2016-12-09”),1.341,1.34],[new Date(“2016-12-10”),1.341,1.34],[new Date(“2016-12-11”),1.342,1.34],[new Date(“2016-12-12”),1.333,1.33],[new Date(“2016-12-13”),1.334,1.33],[new Date(“2016-12-14”),1.349,1.35],[new Date(“2016-12-15”),1.357,1.36],[new Date(“2016-12-16”),1.367,1.37],[new Date(“2016-12-17”),1.367,1.37],[new Date(“2016-12-18”),1.371,1.37],[new Date(“2016-12-19”),1.379,1.38],[new Date(“2016-12-20”),1.375,1.38],[new Date(“2016-12-21”),1.382,1.38],[new Date(“2016-12-22”),1.385,1.38],[new Date(“2016-12-23”),1.392,1.39],[new Date(“2016-12-24”),1.392,1.39],[new Date(“2016-12-25”),1.393,1.39],[new Date(“2016-12-26”),1.393,1.39],[new Date(“2016-12-27”),1.391,1.39],[new Date(“2016-12-28”),1.392,1.39],[new Date(“2016-12-29”),1.382,1.38],[new Date(“2016-12-30”),1.386,1.39],[new Date(“2016-12-31″),1.386,1.39],]);var options = {
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}
November, 2016
01 1.3070
02 1.3066
↗0.000, 0.03%
03 1.3012
↗0.005, 0.41%
04 1.3021
↘0.001, 0.07%
05 1.3021
→0.000, 0.00%
06 1.3027
↘0.001, 0.05%
07 1.2961
↗0.007, 0.51%
08 1.2913
↗0.005, 0.37%
09 1.3074
↘0.016, 1.25%
10 1.3131
↘0.006, 0.44%
11 1.3236
↘0.011, 0.80%
12 1.3236
→0.000, 0.00%
13 1.3233
↗0.000, 0.02%
14 1.3208
↗0.003, 0.19%
15 1.3241
↘0.003, 0.25%
16 1.3343
↘0.010, 0.77%
17 1.3516
↘0.017, 1.30%
18 1.3613
↘0.010, 0.72%
19 1.3613
→0.000, 0.00%
20 1.3655
↘0.004, 0.31%
21 1.3554
↗0.010, 0.74%
22 1.3498
↗0.006, 0.41%
23 1.3560
↘0.006, 0.46%
24 1.3482
↗0.008, 0.58%
25 1.3421
↗0.006, 0.45%
26 1.3421
→0.000, 0.00%
27 1.3431
↘0.001, 0.07%
28 1.3341
↗0.009, 0.67%
29 1.3360
↘0.002, 0.14%
30 1.3536
↘0.018, 1.32%
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”),1.307,1.31],[new Date(“2016-11-02”),1.307,1.31],[new Date(“2016-11-03”),1.301,1.30],[new Date(“2016-11-04”),1.302,1.30],[new Date(“2016-11-05”),1.302,1.30],[new Date(“2016-11-06”),1.303,1.30],[new Date(“2016-11-07”),1.296,1.30],[new Date(“2016-11-08”),1.291,1.29],[new Date(“2016-11-09”),1.307,1.31],[new Date(“2016-11-10”),1.313,1.31],[new Date(“2016-11-11”),1.324,1.32],[new Date(“2016-11-12”),1.324,1.32],[new Date(“2016-11-13”),1.323,1.32],[new Date(“2016-11-14”),1.321,1.32],[new Date(“2016-11-15”),1.324,1.32],[new Date(“2016-11-16”),1.334,1.33],[new Date(“2016-11-17”),1.352,1.35],[new Date(“2016-11-18”),1.361,1.36],[new Date(“2016-11-19”),1.361,1.36],[new Date(“2016-11-20”),1.365,1.37],[new Date(“2016-11-21”),1.355,1.36],[new Date(“2016-11-22”),1.350,1.35],[new Date(“2016-11-23”),1.356,1.36],[new Date(“2016-11-24”),1.348,1.35],[new Date(“2016-11-25”),1.342,1.34],[new Date(“2016-11-26”),1.342,1.34],[new Date(“2016-11-27”),1.343,1.34],[new Date(“2016-11-28”),1.334,1.33],[new Date(“2016-11-29”),1.336,1.34],[new Date(“2016-11-30″),1.354,1.35],]);var options = {
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‘legend’: {‘position’: ‘none’},
‘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”),1.307,1.31],[new Date(“2016-11-02”),1.307,1.31],[new Date(“2016-11-03”),1.301,1.30],[new Date(“2016-11-04”),1.302,1.30],[new Date(“2016-11-05”),1.302,1.30],[new Date(“2016-11-06”),1.303,1.30],[new Date(“2016-11-07”),1.296,1.30],[new Date(“2016-11-08”),1.291,1.29],[new Date(“2016-11-09”),1.307,1.31],[new Date(“2016-11-10”),1.313,1.31],[new Date(“2016-11-11”),1.324,1.32],[new Date(“2016-11-12”),1.324,1.32],[new Date(“2016-11-13”),1.323,1.32],[new Date(“2016-11-14”),1.321,1.32],[new Date(“2016-11-15”),1.324,1.32],[new Date(“2016-11-16”),1.334,1.33],[new Date(“2016-11-17”),1.352,1.35],[new Date(“2016-11-18”),1.361,1.36],[new Date(“2016-11-19”),1.361,1.36],[new Date(“2016-11-20”),1.365,1.37],[new Date(“2016-11-21”),1.355,1.36],[new Date(“2016-11-22”),1.350,1.35],[new Date(“2016-11-23”),1.356,1.36],[new Date(“2016-11-24”),1.348,1.35],[new Date(“2016-11-25”),1.342,1.34],[new Date(“2016-11-26”),1.342,1.34],[new Date(“2016-11-27”),1.343,1.34],[new Date(“2016-11-28”),1.334,1.33],[new Date(“2016-11-29”),1.336,1.34],[new Date(“2016-11-30″),1.354,1.35],]);var options = {
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
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October, 2016
01 1.3041
02 1.3083
↘0.004, 0.32%
03 1.3011
↗0.007, 0.55%
04 1.3141
↘0.013, 1.00%
05 1.3119
↗0.002, 0.17%
06 1.3197
↘0.008, 0.59%
07 1.3160
↗0.004, 0.28%
08 1.3160
→0.000, 0.00%
09 1.3159
↗0.000, 0.01%
10 1.3159
↗0.000, 0.00%
11 1.3221
↘0.006, 0.47%
12 1.3234
↘0.001, 0.10%
13 1.3221
↗0.001, 0.10%
14 1.3110
↗0.011, 0.84%
15 1.3110
→0.000, 0.00%
16 1.3160
↘0.005, 0.38%
17 1.3084
↗0.008, 0.58%
18 1.3032
↗0.005, 0.40%
19 1.2943
↗0.009, 0.68%
20 1.3096
↘0.015, 1.18%
21 1.3128
↘0.003, 0.24%
22 1.3128
→0.000, 0.00%
23 1.3149
↘0.002, 0.16%
24 1.3169
↘0.002, 0.15%
25 1.3071
↗0.010, 0.74%
26 1.3069
↗0.000, 0.02%
27 1.3173
↘0.010, 0.80%
28 1.3154
↗0.002, 0.14%
29 1.3154
→0.000, 0.00%
30 1.3159
↘0.000, 0.04%
31 1.3146
↗0.001, 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(“2016-10-01”),1.304,1.30],[new Date(“2016-10-02”),1.308,1.31],[new Date(“2016-10-03”),1.301,1.30],[new Date(“2016-10-04”),1.314,1.31],[new Date(“2016-10-05”),1.312,1.31],[new Date(“2016-10-06”),1.320,1.32],[new Date(“2016-10-07”),1.316,1.32],[new Date(“2016-10-08”),1.316,1.32],[new Date(“2016-10-09”),1.316,1.32],[new Date(“2016-10-10”),1.316,1.32],[new Date(“2016-10-11”),1.322,1.32],[new Date(“2016-10-12”),1.323,1.32],[new Date(“2016-10-13”),1.322,1.32],[new Date(“2016-10-14”),1.311,1.31],[new Date(“2016-10-15”),1.311,1.31],[new Date(“2016-10-16”),1.316,1.32],[new Date(“2016-10-17”),1.308,1.31],[new Date(“2016-10-18”),1.303,1.30],[new Date(“2016-10-19”),1.294,1.29],[new Date(“2016-10-20”),1.310,1.31],[new Date(“2016-10-21”),1.313,1.31],[new Date(“2016-10-22”),1.313,1.31],[new Date(“2016-10-23”),1.315,1.31],[new Date(“2016-10-24”),1.317,1.32],[new Date(“2016-10-25”),1.307,1.31],[new Date(“2016-10-26”),1.307,1.31],[new Date(“2016-10-27”),1.317,1.32],[new Date(“2016-10-28”),1.315,1.32],[new Date(“2016-10-29”),1.315,1.32],[new Date(“2016-10-30”),1.316,1.32],[new Date(“2016-10-31″),1.315,1.31],]);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”),1.304,1.30],[new Date(“2016-10-02”),1.308,1.31],[new Date(“2016-10-03”),1.301,1.30],[new Date(“2016-10-04”),1.314,1.31],[new Date(“2016-10-05”),1.312,1.31],[new Date(“2016-10-06”),1.320,1.32],[new Date(“2016-10-07”),1.316,1.32],[new Date(“2016-10-08”),1.316,1.32],[new Date(“2016-10-09”),1.316,1.32],[new Date(“2016-10-10”),1.316,1.32],[new Date(“2016-10-11”),1.322,1.32],[new Date(“2016-10-12”),1.323,1.32],[new Date(“2016-10-13”),1.322,1.32],[new Date(“2016-10-14”),1.311,1.31],[new Date(“2016-10-15”),1.311,1.31],[new Date(“2016-10-16”),1.316,1.32],[new Date(“2016-10-17”),1.308,1.31],[new Date(“2016-10-18”),1.303,1.30],[new Date(“2016-10-19”),1.294,1.29],[new Date(“2016-10-20”),1.310,1.31],[new Date(“2016-10-21”),1.313,1.31],[new Date(“2016-10-22”),1.313,1.31],[new Date(“2016-10-23”),1.315,1.31],[new Date(“2016-10-24”),1.317,1.32],[new Date(“2016-10-25”),1.307,1.31],[new Date(“2016-10-26”),1.307,1.31],[new Date(“2016-10-27”),1.317,1.32],[new Date(“2016-10-28”),1.315,1.32],[new Date(“2016-10-29”),1.315,1.32],[new Date(“2016-10-30”),1.316,1.32],[new Date(“2016-10-31″),1.315,1.31],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}
September, 2016
01 1.3242
02 1.3187
↗0.005, 0.42%
03 1.3187
→0.000, 0.00%
04 1.3218
↘0.003, 0.23%
05 1.3172
↗0.005, 0.35%
06 1.3007
↗0.017, 1.25%
07 1.3037
↘0.003, 0.23%
08 1.3068
↘0.003, 0.24%
09 1.3241
↘0.017, 1.32%
10 1.3241
→0.000, 0.00%
11 1.3254
↘0.001, 0.10%
12 1.3214
↗0.004, 0.30%
13 1.3385
↘0.017, 1.29%
14 1.3365
↗0.002, 0.15%
15 1.3308
↗0.006, 0.43%
16 1.3332
↘0.002, 0.18%
17 1.3332
→0.000, 0.00%
18 1.3329
↗0.000, 0.02%
19 1.3263
↗0.007, 0.50%
20 1.3227
↗0.004, 0.27%
21 1.3097
↗0.013, 0.98%
22 1.3071
↗0.003, 0.20%
23 1.3095
↘0.002, 0.18%
24 1.3095
→0.000, 0.00%
25 1.3130
↘0.004, 0.27%
26 1.3099
↗0.003, 0.24%
27 1.3034
↗0.007, 0.50%
28 1.2997
↗0.004, 0.28%
29 1.3108
↘0.011, 0.85%
30 1.3041
↗0.007, 0.51%
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”),1.324,1.32],[new Date(“2016-09-02”),1.319,1.32],[new Date(“2016-09-03”),1.319,1.32],[new Date(“2016-09-04”),1.322,1.32],[new Date(“2016-09-05”),1.317,1.32],[new Date(“2016-09-06”),1.301,1.30],[new Date(“2016-09-07”),1.304,1.30],[new Date(“2016-09-08”),1.307,1.31],[new Date(“2016-09-09”),1.324,1.32],[new Date(“2016-09-10”),1.324,1.32],[new Date(“2016-09-11”),1.325,1.33],[new Date(“2016-09-12”),1.321,1.32],[new Date(“2016-09-13”),1.338,1.34],[new Date(“2016-09-14”),1.336,1.34],[new Date(“2016-09-15”),1.331,1.33],[new Date(“2016-09-16”),1.333,1.33],[new Date(“2016-09-17”),1.333,1.33],[new Date(“2016-09-18”),1.333,1.33],[new Date(“2016-09-19”),1.326,1.33],[new Date(“2016-09-20”),1.323,1.32],[new Date(“2016-09-21”),1.310,1.31],[new Date(“2016-09-22”),1.307,1.31],[new Date(“2016-09-23”),1.310,1.31],[new Date(“2016-09-24”),1.310,1.31],[new Date(“2016-09-25”),1.313,1.31],[new Date(“2016-09-26”),1.310,1.31],[new Date(“2016-09-27”),1.303,1.30],[new Date(“2016-09-28”),1.300,1.30],[new Date(“2016-09-29”),1.311,1.31],[new Date(“2016-09-30″),1.304,1.30],]);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”),1.324,1.32],[new Date(“2016-09-02”),1.319,1.32],[new Date(“2016-09-03”),1.319,1.32],[new Date(“2016-09-04”),1.322,1.32],[new Date(“2016-09-05”),1.317,1.32],[new Date(“2016-09-06”),1.301,1.30],[new Date(“2016-09-07”),1.304,1.30],[new Date(“2016-09-08”),1.307,1.31],[new Date(“2016-09-09”),1.324,1.32],[new Date(“2016-09-10”),1.324,1.32],[new Date(“2016-09-11”),1.325,1.33],[new Date(“2016-09-12”),1.321,1.32],[new Date(“2016-09-13”),1.338,1.34],[new Date(“2016-09-14”),1.336,1.34],[new Date(“2016-09-15”),1.331,1.33],[new Date(“2016-09-16”),1.333,1.33],[new Date(“2016-09-17”),1.333,1.33],[new Date(“2016-09-18”),1.333,1.33],[new Date(“2016-09-19”),1.326,1.33],[new Date(“2016-09-20”),1.323,1.32],[new Date(“2016-09-21”),1.310,1.31],[new Date(“2016-09-22”),1.307,1.31],[new Date(“2016-09-23”),1.310,1.31],[new Date(“2016-09-24”),1.310,1.31],[new Date(“2016-09-25”),1.313,1.31],[new Date(“2016-09-26”),1.310,1.31],[new Date(“2016-09-27”),1.303,1.30],[new Date(“2016-09-28”),1.300,1.30],[new Date(“2016-09-29”),1.311,1.31],[new Date(“2016-09-30″),1.304,1.30],]);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 1.3283
02 1.3160
↗0.012, 0.93%
03 1.3175
↘0.002, 0.12%
04 1.3090
↗0.008, 0.64%
05 1.3113
↘0.002, 0.17%
06 1.3113
→0.000, 0.00%
07 1.3137
↘0.002, 0.18%
08 1.3055
↗0.008, 0.62%
09 1.3046
↗0.001, 0.07%
10 1.2958
↗0.009, 0.67%
11 1.2994
↘0.004, 0.28%
12 1.3067
↘0.007, 0.56%
13 1.3067
→0.000, 0.00%
14 1.3058
↗0.001, 0.07%
15 1.3023
↗0.004, 0.27%
16 1.2986
↗0.004, 0.28%
17 1.3045
↘0.006, 0.45%
18 1.3020
↗0.003, 0.19%
19 1.3118
↘0.010, 0.75%
20 1.3118
→0.000, 0.00%
21 1.3142
↘0.002, 0.18%
22 1.3102
↗0.004, 0.30%
23 1.3130
↘0.003, 0.22%
24 1.3139
↘0.001, 0.07%
25 1.3115
↗0.002, 0.18%
26 1.3207
↘0.009, 0.70%
27 1.3207
→0.000, 0.00%
28 1.3253
↘0.005, 0.35%
29 1.3194
↗0.006, 0.45%
30 1.3292
↘0.010, 0.74%
31 1.3299
↘0.001, 0.05%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-08-01”),1.328,1.33],[new Date(“2016-08-02”),1.316,1.32],[new Date(“2016-08-03”),1.317,1.32],[new Date(“2016-08-04”),1.309,1.31],[new Date(“2016-08-05”),1.311,1.31],[new Date(“2016-08-06”),1.311,1.31],[new Date(“2016-08-07”),1.314,1.31],[new Date(“2016-08-08”),1.306,1.31],[new Date(“2016-08-09”),1.305,1.30],[new Date(“2016-08-10”),1.296,1.30],[new Date(“2016-08-11”),1.299,1.30],[new Date(“2016-08-12”),1.307,1.31],[new Date(“2016-08-13”),1.307,1.31],[new Date(“2016-08-14”),1.306,1.31],[new Date(“2016-08-15”),1.302,1.30],[new Date(“2016-08-16”),1.299,1.30],[new Date(“2016-08-17”),1.305,1.30],[new Date(“2016-08-18”),1.302,1.30],[new Date(“2016-08-19”),1.312,1.31],[new Date(“2016-08-20”),1.312,1.31],[new Date(“2016-08-21”),1.314,1.31],[new Date(“2016-08-22”),1.310,1.31],[new Date(“2016-08-23”),1.313,1.31],[new Date(“2016-08-24”),1.314,1.31],[new Date(“2016-08-25”),1.312,1.31],[new Date(“2016-08-26”),1.321,1.32],[new Date(“2016-08-27”),1.321,1.32],[new Date(“2016-08-28”),1.325,1.33],[new Date(“2016-08-29”),1.319,1.32],[new Date(“2016-08-30”),1.329,1.33],[new Date(“2016-08-31″),1.330,1.33],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_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”),1.328,1.33],[new Date(“2016-08-02”),1.316,1.32],[new Date(“2016-08-03”),1.317,1.32],[new Date(“2016-08-04”),1.309,1.31],[new Date(“2016-08-05”),1.311,1.31],[new Date(“2016-08-06”),1.311,1.31],[new Date(“2016-08-07”),1.314,1.31],[new Date(“2016-08-08”),1.306,1.31],[new Date(“2016-08-09”),1.305,1.30],[new Date(“2016-08-10”),1.296,1.30],[new Date(“2016-08-11”),1.299,1.30],[new Date(“2016-08-12”),1.307,1.31],[new Date(“2016-08-13”),1.307,1.31],[new Date(“2016-08-14”),1.306,1.31],[new Date(“2016-08-15”),1.302,1.30],[new Date(“2016-08-16”),1.299,1.30],[new Date(“2016-08-17”),1.305,1.30],[new Date(“2016-08-18”),1.302,1.30],[new Date(“2016-08-19”),1.312,1.31],[new Date(“2016-08-20”),1.312,1.31],[new Date(“2016-08-21”),1.314,1.31],[new Date(“2016-08-22”),1.310,1.31],[new Date(“2016-08-23”),1.313,1.31],[new Date(“2016-08-24”),1.314,1.31],[new Date(“2016-08-25”),1.312,1.31],[new Date(“2016-08-26”),1.321,1.32],[new Date(“2016-08-27”),1.321,1.32],[new Date(“2016-08-28”),1.325,1.33],[new Date(“2016-08-29”),1.319,1.32],[new Date(“2016-08-30”),1.329,1.33],[new Date(“2016-08-31″),1.330,1.33],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}
July, 2016
01 1.3326
02 1.3326
→0.000, 0.00%
03 1.3393
↘0.007, 0.50%
04 1.3269
↗0.012, 0.93%
05 1.3414
↘0.015, 1.09%
06 1.3310
↗0.010, 0.78%
07 1.3363
↘0.005, 0.40%
08 1.3207
↗0.016, 1.17%
09 1.3207
→0.000, 0.00%
10 1.3221
↘0.001, 0.11%
11 1.3265
↘0.004, 0.34%
12 1.3120
↗0.015, 1.10%
13 1.3154
↘0.003, 0.26%
14 1.3129
↗0.003, 0.19%
15 1.3187
↘0.006, 0.45%
16 1.3187
→0.000, 0.00%
17 1.3176
↗0.001, 0.08%
18 1.3205
↘0.003, 0.22%
19 1.3318
↘0.011, 0.86%
20 1.3388
↘0.007, 0.53%
21 1.3323
↗0.007, 0.49%
22 1.3383
↘0.006, 0.45%
23 1.3383
→0.000, 0.00%
24 1.3379
↗0.000, 0.03%
25 1.3376
↗0.000, 0.02%
26 1.3307
↗0.007, 0.52%
27 1.3299
↗0.001, 0.06%
28 1.3313
↘0.001, 0.11%
29 1.3143
↗0.017, 1.28%
30 1.3143
→0.000, 0.00%
31 1.3178
↘0.003, 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(“2016-07-01”),1.333,1.33],[new Date(“2016-07-02”),1.333,1.33],[new Date(“2016-07-03”),1.339,1.34],[new Date(“2016-07-04”),1.327,1.33],[new Date(“2016-07-05”),1.341,1.34],[new Date(“2016-07-06”),1.331,1.33],[new Date(“2016-07-07”),1.336,1.34],[new Date(“2016-07-08”),1.321,1.32],[new Date(“2016-07-09”),1.321,1.32],[new Date(“2016-07-10”),1.322,1.32],[new Date(“2016-07-11”),1.327,1.33],[new Date(“2016-07-12”),1.312,1.31],[new Date(“2016-07-13”),1.315,1.32],[new Date(“2016-07-14”),1.313,1.31],[new Date(“2016-07-15”),1.319,1.32],[new Date(“2016-07-16”),1.319,1.32],[new Date(“2016-07-17”),1.318,1.32],[new Date(“2016-07-18”),1.321,1.32],[new Date(“2016-07-19”),1.332,1.33],[new Date(“2016-07-20”),1.339,1.34],[new Date(“2016-07-21”),1.332,1.33],[new Date(“2016-07-22”),1.338,1.34],[new Date(“2016-07-23”),1.338,1.34],[new Date(“2016-07-24”),1.338,1.34],[new Date(“2016-07-25”),1.338,1.34],[new Date(“2016-07-26”),1.331,1.33],[new Date(“2016-07-27”),1.330,1.33],[new Date(“2016-07-28”),1.331,1.33],[new Date(“2016-07-29”),1.314,1.31],[new Date(“2016-07-30”),1.314,1.31],[new Date(“2016-07-31″),1.318,1.32],]);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”),1.333,1.33],[new Date(“2016-07-02”),1.333,1.33],[new Date(“2016-07-03”),1.339,1.34],[new Date(“2016-07-04”),1.327,1.33],[new Date(“2016-07-05”),1.341,1.34],[new Date(“2016-07-06”),1.331,1.33],[new Date(“2016-07-07”),1.336,1.34],[new Date(“2016-07-08”),1.321,1.32],[new Date(“2016-07-09”),1.321,1.32],[new Date(“2016-07-10”),1.322,1.32],[new Date(“2016-07-11”),1.327,1.33],[new Date(“2016-07-12”),1.312,1.31],[new Date(“2016-07-13”),1.315,1.32],[new Date(“2016-07-14”),1.313,1.31],[new Date(“2016-07-15”),1.319,1.32],[new Date(“2016-07-16”),1.319,1.32],[new Date(“2016-07-17”),1.318,1.32],[new Date(“2016-07-18”),1.321,1.32],[new Date(“2016-07-19”),1.332,1.33],[new Date(“2016-07-20”),1.339,1.34],[new Date(“2016-07-21”),1.332,1.33],[new Date(“2016-07-22”),1.338,1.34],[new Date(“2016-07-23”),1.338,1.34],[new Date(“2016-07-24”),1.338,1.34],[new Date(“2016-07-25”),1.338,1.34],[new Date(“2016-07-26”),1.331,1.33],[new Date(“2016-07-27”),1.330,1.33],[new Date(“2016-07-28”),1.331,1.33],[new Date(“2016-07-29”),1.314,1.31],[new Date(“2016-07-30”),1.314,1.31],[new Date(“2016-07-31″),1.318,1.32],]);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 1.3791
02 1.3842
↘0.005, 0.37%
03 1.3575
↗0.027, 1.93%
04 1.3575
→0.000, 0.00%
05 1.3598
↘0.002, 0.17%
06 1.3571
↗0.003, 0.20%
07 1.3419
↗0.015, 1.12%
08 1.3353
↗0.007, 0.49%
09 1.3450
↘0.010, 0.72%
10 1.3551
↘0.010, 0.75%
11 1.3551
→0.000, 0.00%
12 1.3561
↘0.001, 0.08%
13 1.3543
↗0.002, 0.13%
14 1.3607
↘0.006, 0.47%
15 1.3495
↗0.011, 0.82%
16 1.3570
↘0.007, 0.55%
17 1.3521
↗0.005, 0.36%
18 1.3521
→0.000, 0.00%
19 1.3483
↗0.004, 0.28%
20 1.3411
↗0.007, 0.54%
21 1.3411
↘0.000, 0.00%
22 1.3296
↗0.012, 0.86%
23 1.3146
↗0.015, 1.13%
24 1.3375
↘0.023, 1.74%
25 1.3375
→0.000, 0.00%
26 1.3450
↘0.008, 0.56%
27 1.3618
↘0.017, 1.24%
28 1.3530
↗0.009, 0.64%
29 1.3427
↗0.010, 0.76%
30 1.3424
↗0.000, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),1.379,1.38],[new Date(“2016-06-02”),1.384,1.38],[new Date(“2016-06-03”),1.357,1.36],[new Date(“2016-06-04”),1.357,1.36],[new Date(“2016-06-05”),1.360,1.36],[new Date(“2016-06-06”),1.357,1.36],[new Date(“2016-06-07”),1.342,1.34],[new Date(“2016-06-08”),1.335,1.34],[new Date(“2016-06-09”),1.345,1.34],[new Date(“2016-06-10”),1.355,1.36],[new Date(“2016-06-11”),1.355,1.36],[new Date(“2016-06-12”),1.356,1.36],[new Date(“2016-06-13”),1.354,1.35],[new Date(“2016-06-14”),1.361,1.36],[new Date(“2016-06-15”),1.350,1.35],[new Date(“2016-06-16”),1.357,1.36],[new Date(“2016-06-17”),1.352,1.35],[new Date(“2016-06-18”),1.352,1.35],[new Date(“2016-06-19”),1.348,1.35],[new Date(“2016-06-20”),1.341,1.34],[new Date(“2016-06-21”),1.341,1.34],[new Date(“2016-06-22”),1.330,1.33],[new Date(“2016-06-23”),1.315,1.31],[new Date(“2016-06-24”),1.338,1.34],[new Date(“2016-06-25”),1.338,1.34],[new Date(“2016-06-26”),1.345,1.35],[new Date(“2016-06-27”),1.362,1.36],[new Date(“2016-06-28”),1.353,1.35],[new Date(“2016-06-29”),1.343,1.34],[new Date(“2016-06-30″),1.342,1.34],]);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”),1.379,1.38],[new Date(“2016-06-02”),1.384,1.38],[new Date(“2016-06-03”),1.357,1.36],[new Date(“2016-06-04”),1.357,1.36],[new Date(“2016-06-05”),1.360,1.36],[new Date(“2016-06-06”),1.357,1.36],[new Date(“2016-06-07”),1.342,1.34],[new Date(“2016-06-08”),1.335,1.34],[new Date(“2016-06-09”),1.345,1.34],[new Date(“2016-06-10”),1.355,1.36],[new Date(“2016-06-11”),1.355,1.36],[new Date(“2016-06-12”),1.356,1.36],[new Date(“2016-06-13”),1.354,1.35],[new Date(“2016-06-14”),1.361,1.36],[new Date(“2016-06-15”),1.350,1.35],[new Date(“2016-06-16”),1.357,1.36],[new Date(“2016-06-17”),1.352,1.35],[new Date(“2016-06-18”),1.352,1.35],[new Date(“2016-06-19”),1.348,1.35],[new Date(“2016-06-20”),1.341,1.34],[new Date(“2016-06-21”),1.341,1.34],[new Date(“2016-06-22”),1.330,1.33],[new Date(“2016-06-23”),1.315,1.31],[new Date(“2016-06-24”),1.338,1.34],[new Date(“2016-06-25”),1.338,1.34],[new Date(“2016-06-26”),1.345,1.35],[new Date(“2016-06-27”),1.362,1.36],[new Date(“2016-06-28”),1.353,1.35],[new Date(“2016-06-29”),1.343,1.34],[new Date(“2016-06-30″),1.342,1.34],]);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 1.3143
02 1.3043
↗0.010, 0.76%
03 1.3342
↘0.030, 2.29%
04 1.3401
↘0.006, 0.44%
05 1.3390
↗0.001, 0.08%
06 1.3574
↘0.018, 1.37%
07 1.3574
→0.000, 0.00%
08 1.3564
↗0.001, 0.08%
09 1.3671
↘0.011, 0.79%
10 1.3567
↗0.010, 0.76%
11 1.3566
↗0.000, 0.01%
12 1.3656
↘0.009, 0.67%
13 1.3757
↘0.010, 0.74%
14 1.3757
→0.000, 0.00%
15 1.3778
↘0.002, 0.15%
16 1.3729
↗0.005, 0.36%
17 1.3681
↗0.005, 0.35%
18 1.3807
↘0.013, 0.92%
19 1.3816
↘0.001, 0.07%
20 1.3845
↘0.003, 0.21%
21 1.3845
→0.000, 0.00%
22 1.3837
↗0.001, 0.06%
23 1.3841
↘0.000, 0.03%
24 1.3908
↘0.007, 0.49%
25 1.3907
↗0.000, 0.01%
26 1.3846
↗0.006, 0.44%
27 1.3920
↘0.007, 0.53%
28 1.3920
→0.000, 0.00%
29 1.3924
↘0.000, 0.03%
30 1.3917
↗0.001, 0.05%
31 1.3825
↗0.009, 0.67%
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”),1.314,1.31],[new Date(“2016-05-02”),1.304,1.30],[new Date(“2016-05-03”),1.334,1.33],[new Date(“2016-05-04”),1.340,1.34],[new Date(“2016-05-05”),1.339,1.34],[new Date(“2016-05-06”),1.357,1.36],[new Date(“2016-05-07”),1.357,1.36],[new Date(“2016-05-08”),1.356,1.36],[new Date(“2016-05-09”),1.367,1.37],[new Date(“2016-05-10”),1.357,1.36],[new Date(“2016-05-11”),1.357,1.36],[new Date(“2016-05-12”),1.366,1.37],[new Date(“2016-05-13”),1.376,1.38],[new Date(“2016-05-14”),1.376,1.38],[new Date(“2016-05-15”),1.378,1.38],[new Date(“2016-05-16”),1.373,1.37],[new Date(“2016-05-17”),1.368,1.37],[new Date(“2016-05-18”),1.381,1.38],[new Date(“2016-05-19”),1.382,1.38],[new Date(“2016-05-20”),1.385,1.38],[new Date(“2016-05-21”),1.385,1.38],[new Date(“2016-05-22”),1.384,1.38],[new Date(“2016-05-23”),1.384,1.38],[new Date(“2016-05-24”),1.391,1.39],[new Date(“2016-05-25”),1.391,1.39],[new Date(“2016-05-26”),1.385,1.38],[new Date(“2016-05-27”),1.392,1.39],[new Date(“2016-05-28”),1.392,1.39],[new Date(“2016-05-29”),1.392,1.39],[new Date(“2016-05-30”),1.392,1.39],[new Date(“2016-05-31″),1.382,1.38],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_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”),1.314,1.31],[new Date(“2016-05-02”),1.304,1.30],[new Date(“2016-05-03”),1.334,1.33],[new Date(“2016-05-04”),1.340,1.34],[new Date(“2016-05-05”),1.339,1.34],[new Date(“2016-05-06”),1.357,1.36],[new Date(“2016-05-07”),1.357,1.36],[new Date(“2016-05-08”),1.356,1.36],[new Date(“2016-05-09”),1.367,1.37],[new Date(“2016-05-10”),1.357,1.36],[new Date(“2016-05-11”),1.357,1.36],[new Date(“2016-05-12”),1.366,1.37],[new Date(“2016-05-13”),1.376,1.38],[new Date(“2016-05-14”),1.376,1.38],[new Date(“2016-05-15”),1.378,1.38],[new Date(“2016-05-16”),1.373,1.37],[new Date(“2016-05-17”),1.368,1.37],[new Date(“2016-05-18”),1.381,1.38],[new Date(“2016-05-19”),1.382,1.38],[new Date(“2016-05-20”),1.385,1.38],[new Date(“2016-05-21”),1.385,1.38],[new Date(“2016-05-22”),1.384,1.38],[new Date(“2016-05-23”),1.384,1.38],[new Date(“2016-05-24”),1.391,1.39],[new Date(“2016-05-25”),1.391,1.39],[new Date(“2016-05-26”),1.385,1.38],[new Date(“2016-05-27”),1.392,1.39],[new Date(“2016-05-28”),1.392,1.39],[new Date(“2016-05-29”),1.392,1.39],[new Date(“2016-05-30”),1.392,1.39],[new Date(“2016-05-31″),1.382,1.38],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}
April, 2016
01 1.3017
02 1.3017
→0.000, 0.00%
03 1.3031
↘0.001, 0.11%
04 1.3151
↘0.012, 0.92%
05 1.3256
↘0.010, 0.79%
06 1.3155
↗0.010, 0.76%
07 1.3321
↘0.017, 1.27%
08 1.3241
↗0.008, 0.60%
09 1.3242
↘0.000, 0.00%
10 1.3233
↗0.001, 0.06%
11 1.3170
↗0.006, 0.48%
12 1.3018
↗0.015, 1.15%
13 1.3056
↘0.004, 0.29%
14 1.2998
↗0.006, 0.45%
15 1.2946
↗0.005, 0.40%
16 1.2946
→0.000, 0.00%
17 1.3048
↘0.010, 0.79%
18 1.2903
↗0.014, 1.11%
19 1.2809
↗0.009, 0.73%
20 1.2828
↘0.002, 0.15%
21 1.2922
↘0.009, 0.73%
22 1.2963
↘0.004, 0.32%
23 1.2963
→0.000, 0.00%
24 1.2975
↘0.001, 0.09%
25 1.2964
↗0.001, 0.08%
26 1.2908
↗0.006, 0.43%
27 1.3157
↘0.025, 1.93%
28 1.3114
↗0.004, 0.33%
29 1.3146
↘0.003, 0.25%
30 1.3146
→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(“2016-04-01”),1.302,1.30],[new Date(“2016-04-02”),1.302,1.30],[new Date(“2016-04-03”),1.303,1.30],[new Date(“2016-04-04”),1.315,1.32],[new Date(“2016-04-05”),1.326,1.33],[new Date(“2016-04-06”),1.315,1.32],[new Date(“2016-04-07”),1.332,1.33],[new Date(“2016-04-08”),1.324,1.32],[new Date(“2016-04-09”),1.324,1.32],[new Date(“2016-04-10”),1.323,1.32],[new Date(“2016-04-11”),1.317,1.32],[new Date(“2016-04-12”),1.302,1.30],[new Date(“2016-04-13”),1.306,1.31],[new Date(“2016-04-14”),1.300,1.30],[new Date(“2016-04-15”),1.295,1.29],[new Date(“2016-04-16”),1.295,1.29],[new Date(“2016-04-17”),1.305,1.30],[new Date(“2016-04-18”),1.290,1.29],[new Date(“2016-04-19”),1.281,1.28],[new Date(“2016-04-20”),1.283,1.28],[new Date(“2016-04-21”),1.292,1.29],[new Date(“2016-04-22”),1.296,1.30],[new Date(“2016-04-23”),1.296,1.30],[new Date(“2016-04-24”),1.297,1.30],[new Date(“2016-04-25”),1.296,1.30],[new Date(“2016-04-26”),1.291,1.29],[new Date(“2016-04-27”),1.316,1.32],[new Date(“2016-04-28”),1.311,1.31],[new Date(“2016-04-29”),1.315,1.31],[new Date(“2016-04-30″),1.315,1.31],]);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”),1.302,1.30],[new Date(“2016-04-02”),1.302,1.30],[new Date(“2016-04-03”),1.303,1.30],[new Date(“2016-04-04”),1.315,1.32],[new Date(“2016-04-05”),1.326,1.33],[new Date(“2016-04-06”),1.315,1.32],[new Date(“2016-04-07”),1.332,1.33],[new Date(“2016-04-08”),1.324,1.32],[new Date(“2016-04-09”),1.324,1.32],[new Date(“2016-04-10”),1.323,1.32],[new Date(“2016-04-11”),1.317,1.32],[new Date(“2016-04-12”),1.302,1.30],[new Date(“2016-04-13”),1.306,1.31],[new Date(“2016-04-14”),1.300,1.30],[new Date(“2016-04-15”),1.295,1.29],[new Date(“2016-04-16”),1.295,1.29],[new Date(“2016-04-17”),1.305,1.30],[new Date(“2016-04-18”),1.290,1.29],[new Date(“2016-04-19”),1.281,1.28],[new Date(“2016-04-20”),1.283,1.28],[new Date(“2016-04-21”),1.292,1.29],[new Date(“2016-04-22”),1.296,1.30],[new Date(“2016-04-23”),1.296,1.30],[new Date(“2016-04-24”),1.297,1.30],[new Date(“2016-04-25”),1.296,1.30],[new Date(“2016-04-26”),1.291,1.29],[new Date(“2016-04-27”),1.316,1.32],[new Date(“2016-04-28”),1.311,1.31],[new Date(“2016-04-29”),1.315,1.31],[new Date(“2016-04-30″),1.315,1.31],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}
March, 2016
01 1.3935
02 1.3723
↗0.021, 1.52%
03 1.3604
↗0.012, 0.87%
04 1.3441
↗0.016, 1.20%
05 1.3441
→0.000, 0.00%
06 1.3484
↘0.004, 0.32%
07 1.3391
↗0.009, 0.70%
08 1.3456
↘0.007, 0.49%
09 1.3375
↗0.008, 0.60%
10 1.3419
↘0.004, 0.33%
11 1.3220
↗0.020, 1.48%
12 1.3220
→0.000, 0.00%
13 1.3250
↘0.003, 0.22%
14 1.3316
↘0.007, 0.50%
15 1.3401
↘0.008, 0.64%
16 1.3247
↗0.015, 1.14%
17 1.3085
↗0.016, 1.23%
18 1.3150
↘0.006, 0.49%
19 1.3149
↗0.000, 0.01%
20 1.3162
↘0.001, 0.10%
21 1.3190
↘0.003, 0.21%
22 1.3126
↗0.006, 0.48%
23 1.3276
↘0.015, 1.14%
24 1.3288
↘0.001, 0.09%
25 1.3318
↘0.003, 0.23%
26 1.3318
→0.000, 0.00%
27 1.3319
↘0.000, 0.01%
28 1.3255
↗0.006, 0.48%
29 1.3100
↗0.016, 1.17%
30 1.3042
↗0.006, 0.44%
31 1.3045
↘0.000, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-03-01”),1.394,1.39],[new Date(“2016-03-02”),1.372,1.37],[new Date(“2016-03-03”),1.360,1.36],[new Date(“2016-03-04”),1.344,1.34],[new Date(“2016-03-05”),1.344,1.34],[new Date(“2016-03-06”),1.348,1.35],[new Date(“2016-03-07”),1.339,1.34],[new Date(“2016-03-08”),1.346,1.35],[new Date(“2016-03-09”),1.337,1.34],[new Date(“2016-03-10”),1.342,1.34],[new Date(“2016-03-11”),1.322,1.32],[new Date(“2016-03-12”),1.322,1.32],[new Date(“2016-03-13”),1.325,1.33],[new Date(“2016-03-14”),1.332,1.33],[new Date(“2016-03-15”),1.340,1.34],[new Date(“2016-03-16”),1.325,1.32],[new Date(“2016-03-17”),1.309,1.31],[new Date(“2016-03-18”),1.315,1.31],[new Date(“2016-03-19”),1.315,1.31],[new Date(“2016-03-20”),1.316,1.32],[new Date(“2016-03-21”),1.319,1.32],[new Date(“2016-03-22”),1.313,1.31],[new Date(“2016-03-23”),1.328,1.33],[new Date(“2016-03-24”),1.329,1.33],[new Date(“2016-03-25”),1.332,1.33],[new Date(“2016-03-26”),1.332,1.33],[new Date(“2016-03-27”),1.332,1.33],[new Date(“2016-03-28”),1.326,1.33],[new Date(“2016-03-29”),1.310,1.31],[new Date(“2016-03-30”),1.304,1.30],[new Date(“2016-03-31″),1.305,1.30],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}
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”),1.394,1.39],[new Date(“2016-03-02”),1.372,1.37],[new Date(“2016-03-03”),1.360,1.36],[new Date(“2016-03-04”),1.344,1.34],[new Date(“2016-03-05”),1.344,1.34],[new Date(“2016-03-06”),1.348,1.35],[new Date(“2016-03-07”),1.339,1.34],[new Date(“2016-03-08”),1.346,1.35],[new Date(“2016-03-09”),1.337,1.34],[new Date(“2016-03-10”),1.342,1.34],[new Date(“2016-03-11”),1.322,1.32],[new Date(“2016-03-12”),1.322,1.32],[new Date(“2016-03-13”),1.325,1.33],[new Date(“2016-03-14”),1.332,1.33],[new Date(“2016-03-15”),1.340,1.34],[new Date(“2016-03-16”),1.325,1.32],[new Date(“2016-03-17”),1.309,1.31],[new Date(“2016-03-18”),1.315,1.31],[new Date(“2016-03-19”),1.315,1.31],[new Date(“2016-03-20”),1.316,1.32],[new Date(“2016-03-21”),1.319,1.32],[new Date(“2016-03-22”),1.313,1.31],[new Date(“2016-03-23”),1.328,1.33],[new Date(“2016-03-24”),1.329,1.33],[new Date(“2016-03-25”),1.332,1.33],[new Date(“2016-03-26”),1.332,1.33],[new Date(“2016-03-27”),1.332,1.33],[new Date(“2016-03-28”),1.326,1.33],[new Date(“2016-03-29”),1.310,1.31],[new Date(“2016-03-30”),1.304,1.30],[new Date(“2016-03-31″),1.305,1.30],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}
February, 2016
01 1.4071
02 1.4221
↘0.015, 1.06%
03 1.3965
↗0.026, 1.80%
04 1.3892
↗0.007, 0.53%
05 1.4150
↘0.026, 1.85%
06 1.4151
↘0.000, 0.01%
07 1.4135
↗0.002, 0.12%
08 1.4117
↗0.002, 0.13%
09 1.4134
↘0.002, 0.12%
10 1.4093
↗0.004, 0.29%
11 1.4049
↗0.004, 0.32%
12 1.4070
↘0.002, 0.15%
13 1.4070
→0.000, 0.00%
14 1.4071
↘0.000, 0.01%
15 1.4020
↗0.005, 0.37%
16 1.4064
↘0.004, 0.32%
17 1.3933
↗0.013, 0.93%
18 1.3977
↘0.004, 0.31%
19 1.3995
↘0.002, 0.13%
20 1.3988
↗0.001, 0.05%
21 1.3995
↘0.001, 0.05%
22 1.3831
↗0.016, 1.17%
23 1.3900
↘0.007, 0.50%
24 1.3901
↘0.000, 0.01%
25 1.3829
↗0.007, 0.52%
26 1.4031
↘0.020, 1.46%
27 1.4033
↘0.000, 0.01%
28 1.4038
↘0.001, 0.04%
29 1.4004
↗0.003, 0.24%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-02-01”),1.407,1.41],[new Date(“2016-02-02”),1.422,1.42],[new Date(“2016-02-03”),1.397,1.40],[new Date(“2016-02-04”),1.389,1.39],[new Date(“2016-02-05”),1.415,1.41],[new Date(“2016-02-06”),1.415,1.42],[new Date(“2016-02-07”),1.413,1.41],[new Date(“2016-02-08”),1.412,1.41],[new Date(“2016-02-09”),1.413,1.41],[new Date(“2016-02-10”),1.409,1.41],[new Date(“2016-02-11”),1.405,1.40],[new Date(“2016-02-12”),1.407,1.41],[new Date(“2016-02-13”),1.407,1.41],[new Date(“2016-02-14”),1.407,1.41],[new Date(“2016-02-15”),1.402,1.40],[new Date(“2016-02-16”),1.406,1.41],[new Date(“2016-02-17”),1.393,1.39],[new Date(“2016-02-18”),1.398,1.40],[new Date(“2016-02-19”),1.399,1.40],[new Date(“2016-02-20”),1.399,1.40],[new Date(“2016-02-21”),1.400,1.40],[new Date(“2016-02-22”),1.383,1.38],[new Date(“2016-02-23”),1.390,1.39],[new Date(“2016-02-24”),1.390,1.39],[new Date(“2016-02-25”),1.383,1.38],[new Date(“2016-02-26”),1.403,1.40],[new Date(“2016-02-27”),1.403,1.40],[new Date(“2016-02-28”),1.404,1.40],[new Date(“2016-02-29″),1.400,1.40],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_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”),1.407,1.41],[new Date(“2016-02-02”),1.422,1.42],[new Date(“2016-02-03”),1.397,1.40],[new Date(“2016-02-04”),1.389,1.39],[new Date(“2016-02-05”),1.415,1.41],[new Date(“2016-02-06”),1.415,1.42],[new Date(“2016-02-07”),1.413,1.41],[new Date(“2016-02-08”),1.412,1.41],[new Date(“2016-02-09”),1.413,1.41],[new Date(“2016-02-10”),1.409,1.41],[new Date(“2016-02-11”),1.405,1.40],[new Date(“2016-02-12”),1.407,1.41],[new Date(“2016-02-13”),1.407,1.41],[new Date(“2016-02-14”),1.407,1.41],[new Date(“2016-02-15”),1.402,1.40],[new Date(“2016-02-16”),1.406,1.41],[new Date(“2016-02-17”),1.393,1.39],[new Date(“2016-02-18”),1.398,1.40],[new Date(“2016-02-19”),1.399,1.40],[new Date(“2016-02-20”),1.399,1.40],[new Date(“2016-02-21”),1.400,1.40],[new Date(“2016-02-22”),1.383,1.38],[new Date(“2016-02-23”),1.390,1.39],[new Date(“2016-02-24”),1.390,1.39],[new Date(“2016-02-25”),1.383,1.38],[new Date(“2016-02-26”),1.403,1.40],[new Date(“2016-02-27”),1.403,1.40],[new Date(“2016-02-28”),1.404,1.40],[new Date(“2016-02-29″),1.400,1.40],]);var options = {
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title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}
January, 2016
01 1.3739
02 1.3705
↗0.003, 0.25%
03 1.3721
↘0.002, 0.11%
04 1.3922
↘0.020, 1.46%
05 1.3962
↘0.004, 0.29%
06 1.4146
↘0.018, 1.32%
07 1.4253
↘0.011, 0.76%
08 1.4383
↘0.013, 0.91%
09 1.4383
→0.000, 0.00%
10 1.4402
↘0.002, 0.13%
11 1.4295
↗0.011, 0.74%
12 1.4328
↘0.003, 0.23%
13 1.4377
↘0.005, 0.34%
14 1.4317
↗0.006, 0.42%
15 1.4575
↘0.026, 1.81%
16 1.4575
→0.000, 0.00%
17 1.4593
↘0.002, 0.12%
18 1.4568
↗0.003, 0.17%
19 1.4480
↗0.009, 0.60%
20 1.4470
↗0.001, 0.07%
21 1.4284
↗0.019, 1.28%
22 1.4280
↗0.000, 0.03%
23 1.4280
→0.000, 0.00%
24 1.4275
↗0.000, 0.03%
25 1.4395
↘0.012, 0.84%
26 1.4283
↗0.011, 0.78%
27 1.4233
↗0.005, 0.35%
28 1.4123
↗0.011, 0.77%
29 1.4116
↗0.001, 0.05%
30 1.4115
↗0.000, 0.00%
31 1.4132
↘0.002, 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”);
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
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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title: ‘Date’
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title: ‘Conversion Rate’
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}