New Zealand Dollar NZD 2016 Conversion Rates

  • Opening Value is 1.461623 NZD per Dollar
  • Closing Value is 1.443104 NZD per Dollar
  • Change in Value during 2016 is -0.0185 which is -1.27%
  • Best Performance is on 2016-09-07 with 1.341797 NZD per Dollar
  • Lowest Performance is on 2016-01-19 with 1.562814 NZD per Dollar
  • Average Value is 1.4360 NZD per Dollar
  • Swing Between the higest and the lowest is 0.2210 per Dollar, that is 15.12% compared to the opening value.

USD to NZD Conversion Rates – 12 months

Date 1 USD =
2016-12-31 1.4431 NZD
2016-11-30 1.4125 NZD
2016-10-31 1.3972 NZD
2016-09-30 1.3716 NZD
2016-08-31 1.3799 NZD
2016-07-31 1.3902 NZD
2016-06-30 1.4014 NZD
2016-05-31 1.4759 NZD
2016-04-30 1.4326 NZD
2016-03-31 1.4452 NZD
2016-02-29 1.5160 NZD
2016-01-31 1.5437 NZD
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”),1.443,1.44],[new Date(“2016-11-30”),1.412,1.41],[new Date(“2016-10-31”),1.397,1.40],[new Date(“2016-09-30”),1.372,1.37],[new Date(“2016-08-31”),1.380,1.38],[new Date(“2016-07-31”),1.390,1.39],[new Date(“2016-06-30”),1.401,1.40],[new Date(“2016-05-31”),1.476,1.48],[new Date(“2016-04-30”),1.433,1.43],[new Date(“2016-03-31”),1.445,1.45],[new Date(“2016-02-29”),1.516,1.52],[new Date(“2016-01-31”),1.544,1.54],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2016

01      1.4087
02      1.4003
↗0.008, 0.60%
03      1.4003
→0.000, 0.00%
04      1.4082
↘0.008, 0.56%
05      1.3995
↗0.009, 0.62%
06      1.4036
↘0.004, 0.29%
07      1.3920
↗0.012, 0.83%
08      1.3923
↘0.000, 0.02%
09      1.4009
↘0.009, 0.62%
10      1.4012
↘0.000, 0.02%
11      1.4028
↘0.002, 0.11%
12      1.3887
↗0.014, 1.00%
13      1.3885
↗0.000, 0.01%
14      1.4044
↘0.016, 1.15%
15      1.4180
↘0.014, 0.97%
16      1.4360
↘0.018, 1.27%
17      1.4360
→0.000, 0.00%
18      1.4359
↗0.000, 0.01%
19      1.4432
↘0.007, 0.51%
20      1.4435
↘0.000, 0.02%
21      1.4482
↘0.005, 0.33%
22      1.4477
↗0.000, 0.03%
23      1.4530
↘0.005, 0.37%
24      1.4528
↗0.000, 0.02%
25      1.4522
↗0.001, 0.04%
26      1.4526
↘0.000, 0.03%
27      1.4497
↗0.003, 0.20%
28      1.4434
↗0.006, 0.44%
29      1.4336
↗0.010, 0.68%
30      1.4431
↘0.010, 0.66%
31      1.4431
→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”),1.409,1.41],[new Date(“2016-12-02”),1.400,1.40],[new Date(“2016-12-03”),1.400,1.40],[new Date(“2016-12-04”),1.408,1.41],[new Date(“2016-12-05”),1.399,1.40],[new Date(“2016-12-06”),1.404,1.40],[new Date(“2016-12-07”),1.392,1.39],[new Date(“2016-12-08”),1.392,1.39],[new Date(“2016-12-09”),1.401,1.40],[new Date(“2016-12-10”),1.401,1.40],[new Date(“2016-12-11”),1.403,1.40],[new Date(“2016-12-12”),1.389,1.39],[new Date(“2016-12-13”),1.388,1.39],[new Date(“2016-12-14”),1.404,1.40],[new Date(“2016-12-15”),1.418,1.42],[new Date(“2016-12-16”),1.436,1.44],[new Date(“2016-12-17”),1.436,1.44],[new Date(“2016-12-18”),1.436,1.44],[new Date(“2016-12-19”),1.443,1.44],[new Date(“2016-12-20”),1.443,1.44],[new Date(“2016-12-21”),1.448,1.45],[new Date(“2016-12-22”),1.448,1.45],[new Date(“2016-12-23”),1.453,1.45],[new Date(“2016-12-24”),1.453,1.45],[new Date(“2016-12-25”),1.452,1.45],[new Date(“2016-12-26”),1.453,1.45],[new Date(“2016-12-27”),1.450,1.45],[new Date(“2016-12-28”),1.443,1.44],[new Date(“2016-12-29”),1.434,1.43],[new Date(“2016-12-30”),1.443,1.44],[new Date(“2016-12-31″),1.443,1.44],]);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_12’));
chart.draw(data, options);
}

November, 2016

01      1.3872
02      1.3727
↗0.014, 1.04%
03      1.3638
↗0.009, 0.65%
04      1.3641
↘0.000, 0.02%
05      1.3641
→0.000, 0.00%
06      1.3657
↘0.002, 0.12%
07      1.3624
↗0.003, 0.24%
08      1.3565
↗0.006, 0.43%
09      1.3721
↘0.016, 1.15%
10      1.3847
↘0.013, 0.92%
11      1.4050
↘0.020, 1.47%
12      1.4050
→0.000, 0.00%
13      1.4056
↘0.001, 0.04%
14      1.4022
↗0.003, 0.24%
15      1.4098
↘0.008, 0.54%
16      1.4087
↗0.001, 0.08%
17      1.4239
↘0.015, 1.08%
18      1.4260
↘0.002, 0.15%
19      1.4246
↗0.001, 0.10%
20      1.4294
↘0.005, 0.34%
21      1.4126
↗0.017, 1.18%
22      1.4144
↘0.002, 0.13%
23      1.4288
↘0.014, 1.02%
24      1.4264
↗0.002, 0.17%
25      1.4195
↗0.007, 0.48%
26      1.4193
↗0.000, 0.01%
27      1.4184
↗0.001, 0.06%
28      1.4111
↗0.007, 0.51%
29      1.4013
↗0.010, 0.69%
30      1.4125
↘0.011, 0.80%
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”),1.387,1.39],[new Date(“2016-11-02”),1.373,1.37],[new Date(“2016-11-03”),1.364,1.36],[new Date(“2016-11-04”),1.364,1.36],[new Date(“2016-11-05”),1.364,1.36],[new Date(“2016-11-06”),1.366,1.37],[new Date(“2016-11-07”),1.362,1.36],[new Date(“2016-11-08”),1.357,1.36],[new Date(“2016-11-09”),1.372,1.37],[new Date(“2016-11-10”),1.385,1.38],[new Date(“2016-11-11”),1.405,1.41],[new Date(“2016-11-12”),1.405,1.41],[new Date(“2016-11-13”),1.406,1.41],[new Date(“2016-11-14”),1.402,1.40],[new Date(“2016-11-15”),1.410,1.41],[new Date(“2016-11-16”),1.409,1.41],[new Date(“2016-11-17”),1.424,1.42],[new Date(“2016-11-18”),1.426,1.43],[new Date(“2016-11-19”),1.425,1.42],[new Date(“2016-11-20”),1.429,1.43],[new Date(“2016-11-21”),1.413,1.41],[new Date(“2016-11-22”),1.414,1.41],[new Date(“2016-11-23”),1.429,1.43],[new Date(“2016-11-24”),1.426,1.43],[new Date(“2016-11-25”),1.420,1.42],[new Date(“2016-11-26”),1.419,1.42],[new Date(“2016-11-27”),1.418,1.42],[new Date(“2016-11-28”),1.411,1.41],[new Date(“2016-11-29”),1.401,1.40],[new Date(“2016-11-30″),1.412,1.41],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2016

01      1.3716
02      1.3764
↘0.005, 0.35%
03      1.3707
↗0.006, 0.41%
04      1.3914
↘0.021, 1.51%
05      1.3937
↘0.002, 0.17%
06      1.3959
↘0.002, 0.16%
07      1.3940
↗0.002, 0.13%
08      1.3940
→0.000, 0.00%
09      1.3940
↗0.000, 0.00%
10      1.4023
↘0.008, 0.59%
11      1.4114
↘0.009, 0.65%
12      1.4186
↘0.007, 0.51%
13      1.4107
↗0.008, 0.56%
14      1.4109
↘0.000, 0.01%
15      1.4109
→0.000, 0.00%
16      1.4101
↗0.001, 0.06%
17      1.3940
↗0.016, 1.14%
18      1.3876
↗0.006, 0.46%
19      1.3824
↗0.005, 0.37%
20      1.3902
↘0.008, 0.56%
21      1.3957
↘0.006, 0.40%
22      1.3957
→0.000, 0.00%
23      1.3970
↘0.001, 0.09%
24      1.4029
↘0.006, 0.42%
25      1.3950
↗0.008, 0.56%
26      1.3981
↘0.003, 0.22%
27      1.4028
↘0.005, 0.34%
28      1.3954
↗0.007, 0.53%
29      1.3954
→0.000, 0.00%
30      1.3957
↘0.000, 0.02%
31      1.3972
↘0.002, 0.11%
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”),1.372,1.37],[new Date(“2016-10-02”),1.376,1.38],[new Date(“2016-10-03”),1.371,1.37],[new Date(“2016-10-04”),1.391,1.39],[new Date(“2016-10-05”),1.394,1.39],[new Date(“2016-10-06”),1.396,1.40],[new Date(“2016-10-07”),1.394,1.39],[new Date(“2016-10-08”),1.394,1.39],[new Date(“2016-10-09”),1.394,1.39],[new Date(“2016-10-10”),1.402,1.40],[new Date(“2016-10-11”),1.411,1.41],[new Date(“2016-10-12”),1.419,1.42],[new Date(“2016-10-13”),1.411,1.41],[new Date(“2016-10-14”),1.411,1.41],[new Date(“2016-10-15”),1.411,1.41],[new Date(“2016-10-16”),1.410,1.41],[new Date(“2016-10-17”),1.394,1.39],[new Date(“2016-10-18”),1.388,1.39],[new Date(“2016-10-19”),1.382,1.38],[new Date(“2016-10-20”),1.390,1.39],[new Date(“2016-10-21”),1.396,1.40],[new Date(“2016-10-22”),1.396,1.40],[new Date(“2016-10-23”),1.397,1.40],[new Date(“2016-10-24”),1.403,1.40],[new Date(“2016-10-25”),1.395,1.39],[new Date(“2016-10-26”),1.398,1.40],[new Date(“2016-10-27”),1.403,1.40],[new Date(“2016-10-28”),1.395,1.40],[new Date(“2016-10-29”),1.395,1.40],[new Date(“2016-10-30”),1.396,1.40],[new Date(“2016-10-31″),1.397,1.40],]);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_10’));
chart.draw(data, options);
}

September, 2016

01      1.3709
02      1.3706
↗0.000, 0.02%
03      1.3706
→0.000, 0.00%
04      1.3707
↘0.000, 0.01%
05      1.3682
↗0.002, 0.18%
06      1.3476
↗0.021, 1.51%
07      1.3418
↗0.006, 0.43%
08      1.3503
↘0.008, 0.63%
09      1.3660
↘0.016, 1.17%
10      1.3660
→0.000, 0.00%
11      1.3630
↗0.003, 0.22%
12      1.3581
↗0.005, 0.36%
13      1.3795
↘0.021, 1.58%
14      1.3748
↗0.005, 0.34%
15      1.3653
↗0.009, 0.69%
16      1.3762
↘0.011, 0.80%
17      1.3762
→0.000, 0.00%
18      1.3747
↗0.002, 0.11%
19      1.3685
↗0.006, 0.45%
20      1.3656
↗0.003, 0.21%
21      1.3607
↗0.005, 0.36%
22      1.3670
↘0.006, 0.46%
23      1.3801
↘0.013, 0.96%
24      1.3801
→0.000, 0.00%
25      1.3818
↘0.002, 0.12%
26      1.3740
↗0.008, 0.57%
27      1.3702
↗0.004, 0.27%
28      1.3725
↘0.002, 0.17%
29      1.3798
↘0.007, 0.53%
30      1.3716
↗0.008, 0.59%
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”),1.371,1.37],[new Date(“2016-09-02”),1.371,1.37],[new Date(“2016-09-03”),1.371,1.37],[new Date(“2016-09-04”),1.371,1.37],[new Date(“2016-09-05”),1.368,1.37],[new Date(“2016-09-06”),1.348,1.35],[new Date(“2016-09-07”),1.342,1.34],[new Date(“2016-09-08”),1.350,1.35],[new Date(“2016-09-09”),1.366,1.37],[new Date(“2016-09-10”),1.366,1.37],[new Date(“2016-09-11”),1.363,1.36],[new Date(“2016-09-12”),1.358,1.36],[new Date(“2016-09-13”),1.380,1.38],[new Date(“2016-09-14”),1.375,1.37],[new Date(“2016-09-15”),1.365,1.37],[new Date(“2016-09-16”),1.376,1.38],[new Date(“2016-09-17”),1.376,1.38],[new Date(“2016-09-18”),1.375,1.37],[new Date(“2016-09-19”),1.368,1.37],[new Date(“2016-09-20”),1.366,1.37],[new Date(“2016-09-21”),1.361,1.36],[new Date(“2016-09-22”),1.367,1.37],[new Date(“2016-09-23”),1.380,1.38],[new Date(“2016-09-24”),1.380,1.38],[new Date(“2016-09-25”),1.382,1.38],[new Date(“2016-09-26”),1.374,1.37],[new Date(“2016-09-27”),1.370,1.37],[new Date(“2016-09-28”),1.373,1.37],[new Date(“2016-09-29”),1.380,1.38],[new Date(“2016-09-30″),1.372,1.37],]);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      1.3939
02      1.3869
↗0.007, 0.50%
03      1.3970
↘0.010, 0.73%
04      1.3923
↗0.005, 0.34%
05      1.3991
↘0.007, 0.49%
06      1.3991
→0.000, 0.00%
07      1.4045
↘0.005, 0.39%
08      1.3988
↗0.006, 0.41%
09      1.3955
↗0.003, 0.24%
10      1.3716
↗0.024, 1.71%
11      1.3863
↘0.015, 1.07%
12      1.3891
↘0.003, 0.20%
13      1.3891
→0.000, 0.00%
14      1.3899
↘0.001, 0.06%
15      1.3854
↗0.005, 0.32%
16      1.3721
↗0.013, 0.96%
17      1.3762
↘0.004, 0.30%
18      1.3729
↗0.003, 0.24%
19      1.3744
↘0.002, 0.11%
20      1.3744
→0.000, 0.00%
21      1.3792
↘0.005, 0.35%
22      1.3720
↗0.007, 0.52%
23      1.3741
↘0.002, 0.15%
24      1.3662
↗0.008, 0.58%
25      1.3691
↘0.003, 0.21%
26      1.3807
↘0.012, 0.85%
27      1.3807
→0.000, 0.00%
28      1.3843
↘0.004, 0.26%
29      1.3770
↗0.007, 0.53%
30      1.3807
↘0.004, 0.27%
31      1.3799
↗0.001, 0.06%
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”),1.394,1.39],[new Date(“2016-08-02”),1.387,1.39],[new Date(“2016-08-03”),1.397,1.40],[new Date(“2016-08-04”),1.392,1.39],[new Date(“2016-08-05”),1.399,1.40],[new Date(“2016-08-06”),1.399,1.40],[new Date(“2016-08-07”),1.405,1.40],[new Date(“2016-08-08”),1.399,1.40],[new Date(“2016-08-09”),1.395,1.40],[new Date(“2016-08-10”),1.372,1.37],[new Date(“2016-08-11”),1.386,1.39],[new Date(“2016-08-12”),1.389,1.39],[new Date(“2016-08-13”),1.389,1.39],[new Date(“2016-08-14”),1.390,1.39],[new Date(“2016-08-15”),1.385,1.39],[new Date(“2016-08-16”),1.372,1.37],[new Date(“2016-08-17”),1.376,1.38],[new Date(“2016-08-18”),1.373,1.37],[new Date(“2016-08-19”),1.374,1.37],[new Date(“2016-08-20”),1.374,1.37],[new Date(“2016-08-21”),1.379,1.38],[new Date(“2016-08-22”),1.372,1.37],[new Date(“2016-08-23”),1.374,1.37],[new Date(“2016-08-24”),1.366,1.37],[new Date(“2016-08-25”),1.369,1.37],[new Date(“2016-08-26”),1.381,1.38],[new Date(“2016-08-27”),1.381,1.38],[new Date(“2016-08-28”),1.384,1.38],[new Date(“2016-08-29”),1.377,1.38],[new Date(“2016-08-30”),1.381,1.38],[new Date(“2016-08-31″),1.380,1.38],]);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_8’));
chart.draw(data, options);
}

July, 2016

01      1.3941
02      1.3941
→0.000, 0.00%
03      1.3916
↗0.002, 0.18%
04      1.3843
↗0.007, 0.52%
05      1.3998
↘0.016, 1.12%
06      1.4035
↘0.004, 0.26%
07      1.3840
↗0.019, 1.39%
08      1.3686
↗0.015, 1.11%
09      1.3686
→0.000, 0.00%
10      1.3704
↘0.002, 0.13%
11      1.3834
↘0.013, 0.95%
12      1.3705
↗0.013, 0.94%
13      1.3738
↘0.003, 0.24%
14      1.3950
↘0.021, 1.54%
15      1.4052
↘0.010, 0.73%
16      1.4052
→0.000, 0.00%
17      1.4135
↘0.008, 0.59%
18      1.4201
↘0.007, 0.47%
19      1.4194
↗0.001, 0.05%
20      1.4352
↘0.016, 1.11%
21      1.4269
↗0.008, 0.58%
22      1.4284
↘0.002, 0.11%
23      1.4284
→0.000, 0.00%
24      1.4267
↗0.002, 0.12%
25      1.4287
↘0.002, 0.14%
26      1.4147
↗0.014, 0.98%
27      1.4093
↗0.005, 0.38%
28      1.4096
↘0.000, 0.02%
29      1.3867
↗0.023, 1.62%
30      1.3867
→0.000, 0.00%
31      1.3902
↘0.003, 0.25%
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”),1.394,1.39],[new Date(“2016-07-02”),1.394,1.39],[new Date(“2016-07-03”),1.392,1.39],[new Date(“2016-07-04”),1.384,1.38],[new Date(“2016-07-05”),1.400,1.40],[new Date(“2016-07-06”),1.404,1.40],[new Date(“2016-07-07”),1.384,1.38],[new Date(“2016-07-08”),1.369,1.37],[new Date(“2016-07-09”),1.369,1.37],[new Date(“2016-07-10”),1.370,1.37],[new Date(“2016-07-11”),1.383,1.38],[new Date(“2016-07-12”),1.370,1.37],[new Date(“2016-07-13”),1.374,1.37],[new Date(“2016-07-14”),1.395,1.40],[new Date(“2016-07-15”),1.405,1.41],[new Date(“2016-07-16”),1.405,1.41],[new Date(“2016-07-17”),1.414,1.41],[new Date(“2016-07-18”),1.420,1.42],[new Date(“2016-07-19”),1.419,1.42],[new Date(“2016-07-20”),1.435,1.44],[new Date(“2016-07-21”),1.427,1.43],[new Date(“2016-07-22”),1.428,1.43],[new Date(“2016-07-23”),1.428,1.43],[new Date(“2016-07-24”),1.427,1.43],[new Date(“2016-07-25”),1.429,1.43],[new Date(“2016-07-26”),1.415,1.41],[new Date(“2016-07-27”),1.409,1.41],[new Date(“2016-07-28”),1.410,1.41],[new Date(“2016-07-29”),1.387,1.39],[new Date(“2016-07-30”),1.387,1.39],[new Date(“2016-07-31″),1.390,1.39],]);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      1.4665
02      1.4696
↘0.003, 0.21%
03      1.4375
↗0.032, 2.19%
04      1.4375
→0.000, 0.00%
05      1.4414
↘0.004, 0.27%
06      1.4462
↘0.005, 0.33%
07      1.4345
↗0.012, 0.81%
08      1.4110
↗0.024, 1.64%
09      1.4063
↗0.005, 0.33%
10      1.4174
↘0.011, 0.79%
11      1.4174
→0.000, 0.00%
12      1.4182
↘0.001, 0.06%
13      1.4182
↗0.000, 0.00%
14      1.4318
↘0.014, 0.96%
15      1.4163
↗0.015, 1.08%
16      1.4182
↘0.002, 0.13%
17      1.4181
↗0.000, 0.01%
18      1.4181
→0.000, 0.00%
19      1.4142
↗0.004, 0.28%
20      1.4076
↗0.007, 0.46%
21      1.4035
↗0.004, 0.29%
22      1.3934
↗0.010, 0.73%
23      1.3824
↗0.011, 0.79%
24      1.4022
↘0.020, 1.43%
25      1.4022
→0.000, 0.00%
26      1.4090
↘0.007, 0.48%
27      1.4281
↘0.019, 1.36%
28      1.4164
↗0.012, 0.82%
29      1.4058
↗0.011, 0.75%
30      1.4014
↗0.004, 0.31%
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”),1.467,1.47],[new Date(“2016-06-02”),1.470,1.47],[new Date(“2016-06-03”),1.438,1.44],[new Date(“2016-06-04”),1.438,1.44],[new Date(“2016-06-05”),1.441,1.44],[new Date(“2016-06-06”),1.446,1.45],[new Date(“2016-06-07”),1.434,1.43],[new Date(“2016-06-08”),1.411,1.41],[new Date(“2016-06-09”),1.406,1.41],[new Date(“2016-06-10”),1.417,1.42],[new Date(“2016-06-11”),1.417,1.42],[new Date(“2016-06-12”),1.418,1.42],[new Date(“2016-06-13”),1.418,1.42],[new Date(“2016-06-14”),1.432,1.43],[new Date(“2016-06-15”),1.416,1.42],[new Date(“2016-06-16”),1.418,1.42],[new Date(“2016-06-17”),1.418,1.42],[new Date(“2016-06-18”),1.418,1.42],[new Date(“2016-06-19”),1.414,1.41],[new Date(“2016-06-20”),1.408,1.41],[new Date(“2016-06-21”),1.404,1.40],[new Date(“2016-06-22”),1.393,1.39],[new Date(“2016-06-23”),1.382,1.38],[new Date(“2016-06-24”),1.402,1.40],[new Date(“2016-06-25”),1.402,1.40],[new Date(“2016-06-26”),1.409,1.41],[new Date(“2016-06-27”),1.428,1.43],[new Date(“2016-06-28”),1.416,1.42],[new Date(“2016-06-29”),1.406,1.41],[new Date(“2016-06-30″),1.401,1.40],]);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_6’));
chart.draw(data, options);
}

May, 2016

01      1.4312
02      1.4229
↗0.008, 0.57%
03      1.4435
↘0.021, 1.44%
04      1.4520
↘0.009, 0.59%
05      1.4528
↘0.001, 0.05%
06      1.4623
↘0.010, 0.66%
07      1.4623
→0.000, 0.00%
08      1.4620
↗0.000, 0.02%
09      1.4772
↘0.015, 1.04%
10      1.4735
↗0.004, 0.25%
11      1.4667
↗0.007, 0.46%
12      1.4659
↗0.001, 0.06%
13      1.4774
↘0.012, 0.79%
14      1.4774
→0.000, 0.00%
15      1.4783
↘0.001, 0.06%
16      1.4739
↗0.004, 0.30%
17      1.4712
↗0.003, 0.18%
18      1.4804
↘0.009, 0.62%
19      1.4803
↗0.000, 0.01%
20      1.4785
↗0.002, 0.13%
21      1.4785
→0.000, 0.00%
22      1.4765
↗0.002, 0.13%
23      1.4797
↘0.003, 0.21%
24      1.4813
↘0.002, 0.11%
25      1.4875
↘0.006, 0.42%
26      1.4820
↗0.006, 0.37%
27      1.4937
↘0.012, 0.79%
28      1.4937
→0.000, 0.00%
29      1.4930
↗0.001, 0.04%
30      1.4936
↘0.001, 0.04%
31      1.4759
↗0.018, 1.18%
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”),1.431,1.43],[new Date(“2016-05-02”),1.423,1.42],[new Date(“2016-05-03”),1.443,1.44],[new Date(“2016-05-04”),1.452,1.45],[new Date(“2016-05-05”),1.453,1.45],[new Date(“2016-05-06”),1.462,1.46],[new Date(“2016-05-07”),1.462,1.46],[new Date(“2016-05-08”),1.462,1.46],[new Date(“2016-05-09”),1.477,1.48],[new Date(“2016-05-10”),1.473,1.47],[new Date(“2016-05-11”),1.467,1.47],[new Date(“2016-05-12”),1.466,1.47],[new Date(“2016-05-13”),1.477,1.48],[new Date(“2016-05-14”),1.477,1.48],[new Date(“2016-05-15”),1.478,1.48],[new Date(“2016-05-16”),1.474,1.47],[new Date(“2016-05-17”),1.471,1.47],[new Date(“2016-05-18”),1.480,1.48],[new Date(“2016-05-19”),1.480,1.48],[new Date(“2016-05-20”),1.478,1.48],[new Date(“2016-05-21”),1.478,1.48],[new Date(“2016-05-22”),1.477,1.48],[new Date(“2016-05-23”),1.480,1.48],[new Date(“2016-05-24”),1.481,1.48],[new Date(“2016-05-25”),1.488,1.49],[new Date(“2016-05-26”),1.482,1.48],[new Date(“2016-05-27”),1.494,1.49],[new Date(“2016-05-28”),1.494,1.49],[new Date(“2016-05-29”),1.493,1.49],[new Date(“2016-05-30”),1.494,1.49],[new Date(“2016-05-31″),1.476,1.48],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2016

01      1.4483
02      1.4483
→0.000, 0.00%
03      1.4511
↘0.003, 0.19%
04      1.4698
↘0.019, 1.29%
05      1.4699
↘0.000, 0.01%
06      1.4650
↗0.005, 0.34%
07      1.4754
↘0.010, 0.71%
08      1.4687
↗0.007, 0.45%
09      1.4689
↘0.000, 0.01%
10      1.4675
↗0.001, 0.10%
11      1.4590
↗0.009, 0.58%
12      1.4452
↗0.014, 0.94%
13      1.4461
↘0.001, 0.06%
14      1.4600
↘0.014, 0.96%
15      1.4453
↗0.015, 1.01%
16      1.4453
→0.000, 0.00%
17      1.4502
↘0.005, 0.34%
18      1.4376
↗0.013, 0.87%
19      1.4195
↗0.018, 1.26%
20      1.4333
↘0.014, 0.97%
21      1.4466
↘0.013, 0.92%
22      1.4595
↘0.013, 0.89%
23      1.4595
→0.000, 0.00%
24      1.4569
↗0.003, 0.17%
25      1.4577
↘0.001, 0.05%
26      1.4494
↗0.008, 0.57%
27      1.4451
↗0.004, 0.29%
28      1.4365
↗0.009, 0.60%
29      1.4326
↗0.004, 0.27%
30      1.4326
→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”),1.448,1.45],[new Date(“2016-04-02”),1.448,1.45],[new Date(“2016-04-03”),1.451,1.45],[new Date(“2016-04-04”),1.470,1.47],[new Date(“2016-04-05”),1.470,1.47],[new Date(“2016-04-06”),1.465,1.46],[new Date(“2016-04-07”),1.475,1.48],[new Date(“2016-04-08”),1.469,1.47],[new Date(“2016-04-09”),1.469,1.47],[new Date(“2016-04-10”),1.467,1.47],[new Date(“2016-04-11”),1.459,1.46],[new Date(“2016-04-12”),1.445,1.45],[new Date(“2016-04-13”),1.446,1.45],[new Date(“2016-04-14”),1.460,1.46],[new Date(“2016-04-15”),1.445,1.45],[new Date(“2016-04-16”),1.445,1.45],[new Date(“2016-04-17”),1.450,1.45],[new Date(“2016-04-18”),1.438,1.44],[new Date(“2016-04-19”),1.420,1.42],[new Date(“2016-04-20”),1.433,1.43],[new Date(“2016-04-21”),1.447,1.45],[new Date(“2016-04-22”),1.459,1.46],[new Date(“2016-04-23”),1.459,1.46],[new Date(“2016-04-24”),1.457,1.46],[new Date(“2016-04-25”),1.458,1.46],[new Date(“2016-04-26”),1.449,1.45],[new Date(“2016-04-27”),1.445,1.45],[new Date(“2016-04-28”),1.436,1.44],[new Date(“2016-04-29”),1.433,1.43],[new Date(“2016-04-30″),1.433,1.43],]);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      1.5073
02      1.4998
↗0.008, 0.50%
03      1.4872
↗0.013, 0.84%
04      1.4666
↗0.021, 1.39%
05      1.4666
→0.000, 0.00%
06      1.4690
↘0.002, 0.16%
07      1.4718
↘0.003, 0.19%
08      1.4838
↘0.012, 0.82%
09      1.5052
↘0.021, 1.44%
10      1.5000
↗0.005, 0.34%
11      1.4825
↗0.017, 1.17%
12      1.4825
→0.000, 0.00%
13      1.4846
↘0.002, 0.14%
14      1.4998
↘0.015, 1.03%
15      1.5132
↘0.013, 0.89%
16      1.4832
↗0.030, 1.99%
17      1.4638
↗0.019, 1.31%
18      1.4716
↘0.008, 0.53%
19      1.4709
↗0.001, 0.04%
20      1.4716
↘0.001, 0.05%
21      1.4773
↘0.006, 0.39%
22      1.4815
↘0.004, 0.28%
23      1.4895
↘0.008, 0.54%
24      1.4930
↘0.003, 0.23%
25      1.4956
↘0.003, 0.18%
26      1.4956
→0.000, 0.00%
27      1.4958
↘0.000, 0.01%
28      1.4865
↗0.009, 0.62%
29      1.4582
↗0.028, 1.90%
30      1.4469
↗0.011, 0.78%
31      1.4452
↗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”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-03-01”),1.507,1.51],[new Date(“2016-03-02”),1.500,1.50],[new Date(“2016-03-03”),1.487,1.49],[new Date(“2016-03-04”),1.467,1.47],[new Date(“2016-03-05”),1.467,1.47],[new Date(“2016-03-06”),1.469,1.47],[new Date(“2016-03-07”),1.472,1.47],[new Date(“2016-03-08”),1.484,1.48],[new Date(“2016-03-09”),1.505,1.51],[new Date(“2016-03-10”),1.500,1.50],[new Date(“2016-03-11”),1.483,1.48],[new Date(“2016-03-12”),1.483,1.48],[new Date(“2016-03-13”),1.485,1.48],[new Date(“2016-03-14”),1.500,1.50],[new Date(“2016-03-15”),1.513,1.51],[new Date(“2016-03-16”),1.483,1.48],[new Date(“2016-03-17”),1.464,1.46],[new Date(“2016-03-18”),1.472,1.47],[new Date(“2016-03-19”),1.471,1.47],[new Date(“2016-03-20”),1.472,1.47],[new Date(“2016-03-21”),1.477,1.48],[new Date(“2016-03-22”),1.481,1.48],[new Date(“2016-03-23”),1.489,1.49],[new Date(“2016-03-24”),1.493,1.49],[new Date(“2016-03-25”),1.496,1.50],[new Date(“2016-03-26”),1.496,1.50],[new Date(“2016-03-27”),1.496,1.50],[new Date(“2016-03-28”),1.487,1.49],[new Date(“2016-03-29”),1.458,1.46],[new Date(“2016-03-30”),1.447,1.45],[new Date(“2016-03-31″),1.445,1.45],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2016

01      1.5295
02      1.5339
↘0.004, 0.29%
03      1.5014
↗0.033, 2.12%
04      1.4883
↗0.013, 0.87%
05      1.5087
↘0.020, 1.37%
06      1.5087
→0.000, 0.00%
07      1.5099
↘0.001, 0.08%
08      1.5099
↗0.000, 0.00%
09      1.5071
↗0.003, 0.18%
10      1.4977
↗0.009, 0.62%
11      1.4868
↗0.011, 0.73%
12      1.5084
↘0.022, 1.46%
13      1.5084
→0.000, 0.00%
14      1.5093
↘0.001, 0.05%
15      1.5068
↗0.002, 0.16%
16      1.5208
↘0.014, 0.93%
17      1.5072
↗0.014, 0.89%
18      1.5061
↗0.001, 0.08%
19      1.5076
↘0.002, 0.10%
20      1.5076
→0.000, 0.00%
21      1.5068
↗0.001, 0.05%
22      1.4915
↗0.015, 1.02%
23      1.5063
↘0.015, 0.99%
24      1.5021
↗0.004, 0.28%
25      1.4870
↗0.015, 1.00%
26      1.5082
↘0.021, 1.42%
27      1.5082
→0.000, 0.00%
28      1.5120
↘0.004, 0.26%
29      1.5160
↘0.004, 0.26%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-02-01”),1.529,1.53],[new Date(“2016-02-02”),1.534,1.53],[new Date(“2016-02-03”),1.501,1.50],[new Date(“2016-02-04”),1.488,1.49],[new Date(“2016-02-05”),1.509,1.51],[new Date(“2016-02-06”),1.509,1.51],[new Date(“2016-02-07”),1.510,1.51],[new Date(“2016-02-08”),1.510,1.51],[new Date(“2016-02-09”),1.507,1.51],[new Date(“2016-02-10”),1.498,1.50],[new Date(“2016-02-11”),1.487,1.49],[new Date(“2016-02-12”),1.508,1.51],[new Date(“2016-02-13”),1.508,1.51],[new Date(“2016-02-14”),1.509,1.51],[new Date(“2016-02-15”),1.507,1.51],[new Date(“2016-02-16”),1.521,1.52],[new Date(“2016-02-17”),1.507,1.51],[new Date(“2016-02-18”),1.506,1.51],[new Date(“2016-02-19”),1.508,1.51],[new Date(“2016-02-20”),1.508,1.51],[new Date(“2016-02-21”),1.507,1.51],[new Date(“2016-02-22”),1.491,1.49],[new Date(“2016-02-23”),1.506,1.51],[new Date(“2016-02-24”),1.502,1.50],[new Date(“2016-02-25”),1.487,1.49],[new Date(“2016-02-26”),1.508,1.51],[new Date(“2016-02-27”),1.508,1.51],[new Date(“2016-02-28”),1.512,1.51],[new Date(“2016-02-29″),1.516,1.52],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2016

01      1.4616
02      1.4600
↗0.002, 0.11%
03      1.4608
↘0.001, 0.06%
04      1.4822
↘0.021, 1.47%
05      1.4918
↘0.010, 0.65%
06      1.5065
↘0.015, 0.99%
07      1.5090
↘0.002, 0.16%
08      1.5284
↘0.019, 1.29%
09      1.5284
→0.000, 0.00%
10      1.5298
↘0.001, 0.09%
11      1.5241
↗0.006, 0.37%
12      1.5299
↘0.006, 0.38%
13      1.5357
↘0.006, 0.38%
14      1.5444
↘0.009, 0.57%
15      1.5469
↘0.002, 0.16%
16      1.5469
→0.000, 0.00%
17      1.5504
↘0.004, 0.23%
18      1.5505
↘0.000, 0.00%
19      1.5628
↘0.012, 0.80%
20      1.5544
↗0.008, 0.54%
21      1.5321
↗0.022, 1.44%
22      1.5406
↘0.008, 0.55%
23      1.5406
→0.000, 0.00%
24      1.5411
↘0.001, 0.03%
25      1.5496
↘0.009, 0.55%
26      1.5398
↗0.010, 0.64%
27      1.5548
↘0.015, 0.98%
28      1.5434
↗0.011, 0.74%
29      1.5423
↗0.001, 0.07%
30      1.5426
↘0.000, 0.02%
31      1.5437
↘0.001, 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(“2016-01-01”),1.462,1.46],[new Date(“2016-01-02”),1.460,1.46],[new Date(“2016-01-03”),1.461,1.46],[new Date(“2016-01-04”),1.482,1.48],[new Date(“2016-01-05”),1.492,1.49],[new Date(“2016-01-06”),1.507,1.51],[new Date(“2016-01-07”),1.509,1.51],[new Date(“2016-01-08”),1.528,1.53],[new Date(“2016-01-09”),1.528,1.53],[new Date(“2016-01-10”),1.530,1.53],[new Date(“2016-01-11”),1.524,1.52],[new Date(“2016-01-12”),1.530,1.53],[new Date(“2016-01-13”),1.536,1.54],[new Date(“2016-01-14”),1.544,1.54],[new Date(“2016-01-15”),1.547,1.55],[new Date(“2016-01-16”),1.547,1.55],[new Date(“2016-01-17”),1.550,1.55],[new Date(“2016-01-18”),1.550,1.55],[new Date(“2016-01-19”),1.563,1.56],[new Date(“2016-01-20”),1.554,1.55],[new Date(“2016-01-21”),1.532,1.53],[new Date(“2016-01-22”),1.541,1.54],[new Date(“2016-01-23”),1.541,1.54],[new Date(“2016-01-24”),1.541,1.54],[new Date(“2016-01-25”),1.550,1.55],[new Date(“2016-01-26”),1.540,1.54],[new Date(“2016-01-27”),1.555,1.55],[new Date(“2016-01-28”),1.543,1.54],[new Date(“2016-01-29”),1.542,1.54],[new Date(“2016-01-30”),1.543,1.54],[new Date(“2016-01-31″),1.544,1.54],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}