Norwegian Krone NOK 2016 Conversion Rates

  • Opening Value is 8.836930 NOK per Dollar
  • Closing Value is 8.636804 NOK per Dollar
  • Change in Value during 2016 is -0.2001 which is -2.26%
  • Best Performance is on 2016-10-03 with 7.977770 NOK per Dollar
  • Lowest Performance is on 2016-01-06 with 8.947223 NOK per Dollar
  • Average Value is 8.3993 NOK per Dollar
  • Swing Between the higest and the lowest is 0.9695 per Dollar, that is 10.97% compared to the opening value.

USD to NOK Conversion Rates – 12 months

Date 1 USD =
2016-12-31 8.6368 NOK
2016-11-30 8.5204 NOK
2016-10-31 8.2645 NOK
2016-09-30 7.9804 NOK
2016-08-31 8.3328 NOK
2016-07-31 8.4398 NOK
2016-06-30 8.3762 NOK
2016-05-31 8.3697 NOK
2016-04-30 8.0617 NOK
2016-03-31 8.2867 NOK
2016-02-29 8.6945 NOK
2016-01-31 8.6847 NOK
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”),8.637,8.64],[new Date(“2016-11-30”),8.520,8.52],[new Date(“2016-10-31”),8.264,8.26],[new Date(“2016-09-30”),7.980,7.98],[new Date(“2016-08-31”),8.333,8.33],[new Date(“2016-07-31”),8.440,8.44],[new Date(“2016-06-30”),8.376,8.38],[new Date(“2016-05-31”),8.370,8.37],[new Date(“2016-04-30”),8.062,8.06],[new Date(“2016-03-31”),8.287,8.29],[new Date(“2016-02-29”),8.695,8.69],[new Date(“2016-01-31”),8.685,8.68],]);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      8.4067
02      8.4181
↘0.011, 0.14%
03      8.4181
→0.000, 0.00%
04      8.4635
↘0.045, 0.54%
05      8.3815
↗0.082, 0.97%
06      8.3957
↘0.014, 0.17%
07      8.3533
↗0.042, 0.50%
08      8.4259
↘0.073, 0.87%
09      8.4980
↘0.072, 0.86%
10      8.4980
→0.000, 0.00%
11      8.4794
↗0.019, 0.22%
12      8.4309
↗0.049, 0.57%
13      8.4294
↗0.001, 0.02%
14      8.5932
↘0.164, 1.94%
15      8.6587
↘0.065, 0.76%
16      8.6665
↘0.008, 0.09%
17      8.6665
→0.000, 0.00%
18      8.6779
↘0.011, 0.13%
19      8.6815
↘0.004, 0.04%
20      8.7055
↘0.024, 0.28%
21      8.6799
↗0.026, 0.29%
22      8.7119
↘0.032, 0.37%
23      8.6910
↗0.021, 0.24%
24      8.6910
→0.000, 0.00%
25      8.6827
↗0.008, 0.09%
26      8.6851
↘0.002, 0.03%
27      8.7038
↘0.019, 0.22%
28      8.7104
↘0.007, 0.08%
29      8.5839
↗0.127, 1.45%
30      8.6368
↘0.053, 0.62%
31      8.6368
→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”),8.407,8.41],[new Date(“2016-12-02”),8.418,8.42],[new Date(“2016-12-03”),8.418,8.42],[new Date(“2016-12-04”),8.463,8.46],[new Date(“2016-12-05”),8.382,8.38],[new Date(“2016-12-06”),8.396,8.40],[new Date(“2016-12-07”),8.353,8.35],[new Date(“2016-12-08”),8.426,8.43],[new Date(“2016-12-09”),8.498,8.50],[new Date(“2016-12-10”),8.498,8.50],[new Date(“2016-12-11”),8.479,8.48],[new Date(“2016-12-12”),8.431,8.43],[new Date(“2016-12-13”),8.429,8.43],[new Date(“2016-12-14”),8.593,8.59],[new Date(“2016-12-15”),8.659,8.66],[new Date(“2016-12-16”),8.667,8.67],[new Date(“2016-12-17”),8.667,8.67],[new Date(“2016-12-18”),8.678,8.68],[new Date(“2016-12-19”),8.681,8.68],[new Date(“2016-12-20”),8.705,8.71],[new Date(“2016-12-21”),8.680,8.68],[new Date(“2016-12-22”),8.712,8.71],[new Date(“2016-12-23”),8.691,8.69],[new Date(“2016-12-24”),8.691,8.69],[new Date(“2016-12-25”),8.683,8.68],[new Date(“2016-12-26”),8.685,8.69],[new Date(“2016-12-27”),8.704,8.70],[new Date(“2016-12-28”),8.710,8.71],[new Date(“2016-12-29”),8.584,8.58],[new Date(“2016-12-30”),8.637,8.64],[new Date(“2016-12-31″),8.637,8.64],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2016

01      8.2156
02      8.1878
↗0.028, 0.34%
03      8.1908
↘0.003, 0.04%
04      8.1627
↗0.028, 0.34%
05      8.1627
→0.000, 0.00%
06      8.1545
↗0.008, 0.10%
07      8.2345
↘0.080, 0.98%
08      8.2342
↗0.000, 0.00%
09      8.3183
↘0.084, 1.02%
10      8.3644
↘0.046, 0.55%
11      8.4025
↘0.038, 0.46%
12      8.4025
→0.000, 0.00%
13      8.4255
↘0.023, 0.27%
14      8.4636
↘0.038, 0.45%
15      8.4371
↗0.026, 0.31%
16      8.4657
↘0.029, 0.34%
17      8.5487
↘0.083, 0.98%
18      8.5912
↘0.042, 0.50%
19      8.5912
→0.000, 0.00%
20      8.5996
↘0.008, 0.10%
21      8.5324
↗0.067, 0.78%
22      8.5158
↗0.017, 0.19%
23      8.6222
↘0.106, 1.25%
24      8.5903
↗0.032, 0.37%
25      8.5749
↗0.015, 0.18%
26      8.5749
→0.000, 0.00%
27      8.5718
↗0.003, 0.04%
28      8.5424
↗0.029, 0.34%
29      8.5281
↗0.014, 0.17%
30      8.5204
↗0.008, 0.09%
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”),8.216,8.22],[new Date(“2016-11-02”),8.188,8.19],[new Date(“2016-11-03”),8.191,8.19],[new Date(“2016-11-04”),8.163,8.16],[new Date(“2016-11-05”),8.163,8.16],[new Date(“2016-11-06”),8.155,8.15],[new Date(“2016-11-07”),8.235,8.23],[new Date(“2016-11-08”),8.234,8.23],[new Date(“2016-11-09”),8.318,8.32],[new Date(“2016-11-10”),8.364,8.36],[new Date(“2016-11-11”),8.403,8.40],[new Date(“2016-11-12”),8.403,8.40],[new Date(“2016-11-13”),8.426,8.43],[new Date(“2016-11-14”),8.464,8.46],[new Date(“2016-11-15”),8.437,8.44],[new Date(“2016-11-16”),8.466,8.47],[new Date(“2016-11-17”),8.549,8.55],[new Date(“2016-11-18”),8.591,8.59],[new Date(“2016-11-19”),8.591,8.59],[new Date(“2016-11-20”),8.600,8.60],[new Date(“2016-11-21”),8.532,8.53],[new Date(“2016-11-22”),8.516,8.52],[new Date(“2016-11-23”),8.622,8.62],[new Date(“2016-11-24”),8.590,8.59],[new Date(“2016-11-25”),8.575,8.57],[new Date(“2016-11-26”),8.575,8.57],[new Date(“2016-11-27”),8.572,8.57],[new Date(“2016-11-28”),8.542,8.54],[new Date(“2016-11-29”),8.528,8.53],[new Date(“2016-11-30″),8.520,8.52],]);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_11’));
chart.draw(data, options);
}

October, 2016

01      7.9804
02      7.9960
↘0.016, 0.20%
03      7.9778
↗0.018, 0.23%
04      8.0079
↘0.030, 0.38%
05      8.0277
↘0.020, 0.25%
06      8.0542
↘0.026, 0.33%
07      8.0926
↘0.038, 0.48%
08      8.0926
→0.000, 0.00%
09      8.0940
↘0.001, 0.02%
10      8.0806
↗0.013, 0.17%
11      8.1749
↘0.094, 1.17%
12      8.2187
↘0.044, 0.54%
13      8.1619
↗0.057, 0.69%
14      8.2160
↘0.054, 0.66%
15      8.2160
→0.000, 0.00%
16      8.2311
↘0.015, 0.18%
17      8.1679
↗0.063, 0.77%
18      8.1558
↗0.012, 0.15%
19      8.1331
↗0.023, 0.28%
20      8.1846
↘0.052, 0.63%
21      8.2459
↘0.061, 0.75%
22      8.2459
→0.000, 0.00%
23      8.2538
↘0.008, 0.10%
24      8.2640
↘0.010, 0.12%
25      8.2843
↘0.020, 0.25%
26      8.2724
↗0.012, 0.14%
27      8.2716
↗0.001, 0.01%
28      8.2704
↗0.001, 0.01%
29      8.2704
→0.000, 0.00%
30      8.2589
↗0.012, 0.14%
31      8.2645
↘0.006, 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(“2016-10-01”),7.980,7.98],[new Date(“2016-10-02”),7.996,8.00],[new Date(“2016-10-03”),7.978,7.98],[new Date(“2016-10-04”),8.008,8.01],[new Date(“2016-10-05”),8.028,8.03],[new Date(“2016-10-06”),8.054,8.05],[new Date(“2016-10-07”),8.093,8.09],[new Date(“2016-10-08”),8.093,8.09],[new Date(“2016-10-09”),8.094,8.09],[new Date(“2016-10-10”),8.081,8.08],[new Date(“2016-10-11”),8.175,8.17],[new Date(“2016-10-12”),8.219,8.22],[new Date(“2016-10-13”),8.162,8.16],[new Date(“2016-10-14”),8.216,8.22],[new Date(“2016-10-15”),8.216,8.22],[new Date(“2016-10-16”),8.231,8.23],[new Date(“2016-10-17”),8.168,8.17],[new Date(“2016-10-18”),8.156,8.16],[new Date(“2016-10-19”),8.133,8.13],[new Date(“2016-10-20”),8.185,8.18],[new Date(“2016-10-21”),8.246,8.25],[new Date(“2016-10-22”),8.246,8.25],[new Date(“2016-10-23”),8.254,8.25],[new Date(“2016-10-24”),8.264,8.26],[new Date(“2016-10-25”),8.284,8.28],[new Date(“2016-10-26”),8.272,8.27],[new Date(“2016-10-27”),8.272,8.27],[new Date(“2016-10-28”),8.270,8.27],[new Date(“2016-10-29”),8.270,8.27],[new Date(“2016-10-30”),8.259,8.26],[new Date(“2016-10-31″),8.264,8.26],]);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_10’));
chart.draw(data, options);
}

September, 2016

01      8.3344
02      8.3161
↗0.018, 0.22%
03      8.3161
→0.000, 0.00%
04      8.3059
↗0.010, 0.12%
05      8.2938
↗0.012, 0.15%
06      8.1749
↗0.119, 1.43%
07      8.1789
↘0.004, 0.05%
08      8.1826
↘0.004, 0.05%
09      8.2496
↘0.067, 0.82%
10      8.2496
→0.000, 0.00%
11      8.2473
↗0.002, 0.03%
12      8.2223
↗0.025, 0.30%
13      8.2768
↘0.054, 0.66%
14      8.2346
↗0.042, 0.51%
15      8.2311
↗0.004, 0.04%
16      8.3067
↘0.076, 0.92%
17      8.3067
→0.000, 0.00%
18      8.3158
↘0.009, 0.11%
19      8.2855
↗0.030, 0.36%
20      8.2990
↘0.014, 0.16%
21      8.2480
↗0.051, 0.62%
22      8.1280
↗0.120, 1.46%
23      8.1129
↗0.015, 0.19%
24      8.1129
→0.000, 0.00%
25      8.1059
↗0.007, 0.09%
26      8.1094
↘0.004, 0.04%
27      8.1091
↗0.000, 0.00%
28      8.0300
↗0.079, 0.98%
29      8.0509
↘0.021, 0.26%
30      7.9804
↗0.071, 0.88%
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”),8.334,8.33],[new Date(“2016-09-02”),8.316,8.32],[new Date(“2016-09-03”),8.316,8.32],[new Date(“2016-09-04”),8.306,8.31],[new Date(“2016-09-05”),8.294,8.29],[new Date(“2016-09-06”),8.175,8.17],[new Date(“2016-09-07”),8.179,8.18],[new Date(“2016-09-08”),8.183,8.18],[new Date(“2016-09-09”),8.250,8.25],[new Date(“2016-09-10”),8.250,8.25],[new Date(“2016-09-11”),8.247,8.25],[new Date(“2016-09-12”),8.222,8.22],[new Date(“2016-09-13”),8.277,8.28],[new Date(“2016-09-14”),8.235,8.23],[new Date(“2016-09-15”),8.231,8.23],[new Date(“2016-09-16”),8.307,8.31],[new Date(“2016-09-17”),8.307,8.31],[new Date(“2016-09-18”),8.316,8.32],[new Date(“2016-09-19”),8.286,8.29],[new Date(“2016-09-20”),8.299,8.30],[new Date(“2016-09-21”),8.248,8.25],[new Date(“2016-09-22”),8.128,8.13],[new Date(“2016-09-23”),8.113,8.11],[new Date(“2016-09-24”),8.113,8.11],[new Date(“2016-09-25”),8.106,8.11],[new Date(“2016-09-26”),8.109,8.11],[new Date(“2016-09-27”),8.109,8.11],[new Date(“2016-09-28”),8.030,8.03],[new Date(“2016-09-29”),8.051,8.05],[new Date(“2016-09-30″),7.980,7.98],]);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      8.4958
02      8.4317
↗0.064, 0.75%
03      8.4548
↘0.023, 0.27%
04      8.4309
↗0.024, 0.28%
05      8.5083
↘0.077, 0.92%
06      8.5083
→0.000, 0.00%
07      8.5092
↘0.001, 0.01%
08      8.4727
↗0.036, 0.43%
09      8.4066
↗0.066, 0.78%
10      8.2686
↗0.138, 1.64%
11      8.2380
↗0.031, 0.37%
12      8.2032
↗0.035, 0.42%
13      8.2032
→0.000, 0.00%
14      8.2101
↘0.007, 0.08%
15      8.2175
↘0.007, 0.09%
16      8.1920
↗0.026, 0.31%
17      8.1968
↘0.005, 0.06%
18      8.1548
↗0.042, 0.51%
19      8.2050
↘0.050, 0.62%
20      8.2050
→0.000, 0.00%
21      8.2414
↘0.036, 0.44%
22      8.2099
↗0.031, 0.38%
23      8.2108
↘0.001, 0.01%
24      8.2155
↘0.005, 0.06%
25      8.2195
↘0.004, 0.05%
26      8.2705
↘0.051, 0.62%
27      8.2705
→0.000, 0.00%
28      8.2852
↘0.015, 0.18%
29      8.2710
↗0.014, 0.17%
30      8.3396
↘0.069, 0.83%
31      8.3328
↗0.007, 0.08%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-08-01”),8.496,8.50],[new Date(“2016-08-02”),8.432,8.43],[new Date(“2016-08-03”),8.455,8.45],[new Date(“2016-08-04”),8.431,8.43],[new Date(“2016-08-05”),8.508,8.51],[new Date(“2016-08-06”),8.508,8.51],[new Date(“2016-08-07”),8.509,8.51],[new Date(“2016-08-08”),8.473,8.47],[new Date(“2016-08-09”),8.407,8.41],[new Date(“2016-08-10”),8.269,8.27],[new Date(“2016-08-11”),8.238,8.24],[new Date(“2016-08-12”),8.203,8.20],[new Date(“2016-08-13”),8.203,8.20],[new Date(“2016-08-14”),8.210,8.21],[new Date(“2016-08-15”),8.218,8.22],[new Date(“2016-08-16”),8.192,8.19],[new Date(“2016-08-17”),8.197,8.20],[new Date(“2016-08-18”),8.155,8.15],[new Date(“2016-08-19”),8.205,8.21],[new Date(“2016-08-20”),8.205,8.21],[new Date(“2016-08-21”),8.241,8.24],[new Date(“2016-08-22”),8.210,8.21],[new Date(“2016-08-23”),8.211,8.21],[new Date(“2016-08-24”),8.216,8.22],[new Date(“2016-08-25”),8.220,8.22],[new Date(“2016-08-26”),8.271,8.27],[new Date(“2016-08-27”),8.271,8.27],[new Date(“2016-08-28”),8.285,8.29],[new Date(“2016-08-29”),8.271,8.27],[new Date(“2016-08-30”),8.340,8.34],[new Date(“2016-08-31″),8.333,8.33],]);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      8.3496
02      8.3428
↗0.007, 0.08%
03      8.3331
↗0.010, 0.12%
04      8.3025
↗0.031, 0.37%
05      8.3923
↘0.090, 1.08%
06      8.4162
↘0.024, 0.28%
07      8.4935
↘0.077, 0.92%
08      8.5098
↘0.016, 0.19%
09      8.5188
↘0.009, 0.11%
10      8.5211
↘0.002, 0.03%
11      8.5040
↗0.017, 0.20%
12      8.4523
↗0.052, 0.61%
13      8.4274
↗0.025, 0.29%
14      8.3862
↗0.041, 0.49%
15      8.4770
↘0.091, 1.08%
16      8.4770
→0.000, 0.00%
17      8.4682
↗0.009, 0.10%
18      8.4466
↗0.022, 0.26%
19      8.5098
↘0.063, 0.75%
20      8.4998
↗0.010, 0.12%
21      8.4894
↗0.010, 0.12%
22      8.5561
↘0.067, 0.79%
23      8.5561
→0.000, 0.00%
24      8.5536
↗0.002, 0.03%
25      8.5843
↘0.031, 0.36%
26      8.5729
↗0.011, 0.13%
27      8.5264
↗0.046, 0.54%
28      8.5544
↘0.028, 0.33%
29      8.4339
↗0.120, 1.41%
30      8.4339
→0.000, 0.00%
31      8.4398
↘0.006, 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(“2016-07-01”),8.350,8.35],[new Date(“2016-07-02”),8.343,8.34],[new Date(“2016-07-03”),8.333,8.33],[new Date(“2016-07-04”),8.302,8.30],[new Date(“2016-07-05”),8.392,8.39],[new Date(“2016-07-06”),8.416,8.42],[new Date(“2016-07-07”),8.494,8.49],[new Date(“2016-07-08”),8.510,8.51],[new Date(“2016-07-09”),8.519,8.52],[new Date(“2016-07-10”),8.521,8.52],[new Date(“2016-07-11”),8.504,8.50],[new Date(“2016-07-12”),8.452,8.45],[new Date(“2016-07-13”),8.427,8.43],[new Date(“2016-07-14”),8.386,8.39],[new Date(“2016-07-15”),8.477,8.48],[new Date(“2016-07-16”),8.477,8.48],[new Date(“2016-07-17”),8.468,8.47],[new Date(“2016-07-18”),8.447,8.45],[new Date(“2016-07-19”),8.510,8.51],[new Date(“2016-07-20”),8.500,8.50],[new Date(“2016-07-21”),8.489,8.49],[new Date(“2016-07-22”),8.556,8.56],[new Date(“2016-07-23”),8.556,8.56],[new Date(“2016-07-24”),8.554,8.55],[new Date(“2016-07-25”),8.584,8.58],[new Date(“2016-07-26”),8.573,8.57],[new Date(“2016-07-27”),8.526,8.53],[new Date(“2016-07-28”),8.554,8.55],[new Date(“2016-07-29”),8.434,8.43],[new Date(“2016-07-30”),8.434,8.43],[new Date(“2016-07-31″),8.440,8.44],]);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_7’));
chart.draw(data, options);
}

June, 2016

01      8.3136
02      8.3355
↘0.022, 0.26%
03      8.2045
↗0.131, 1.57%
04      8.1978
↗0.007, 0.08%
05      8.1782
↗0.020, 0.24%
06      8.1771
↗0.001, 0.01%
07      8.1306
↗0.047, 0.57%
08      8.1075
↗0.023, 0.28%
09      8.1446
↘0.037, 0.46%
10      8.2457
↘0.101, 1.24%
11      8.2592
↘0.014, 0.16%
12      8.2664
↘0.007, 0.09%
13      8.2723
↘0.006, 0.07%
14      8.3379
↘0.066, 0.79%
15      8.3110
↗0.027, 0.32%
16      8.3793
↘0.068, 0.82%
17      8.3597
↗0.020, 0.23%
18      8.3627
↘0.003, 0.04%
19      8.3135
↗0.049, 0.59%
20      8.2940
↗0.019, 0.23%
21      8.3011
↘0.007, 0.09%
22      8.2610
↗0.040, 0.48%
23      8.1710
↗0.090, 1.09%
24      8.3809
↘0.210, 2.57%
25      8.4275
↘0.047, 0.56%
26      8.5016
↘0.074, 0.88%
27      8.5430
↘0.041, 0.49%
28      8.4858
↗0.057, 0.67%
29      8.4113
↗0.075, 0.88%
30      8.3762
↗0.035, 0.42%
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”),8.314,8.31],[new Date(“2016-06-02”),8.335,8.34],[new Date(“2016-06-03”),8.205,8.20],[new Date(“2016-06-04”),8.198,8.20],[new Date(“2016-06-05”),8.178,8.18],[new Date(“2016-06-06”),8.177,8.18],[new Date(“2016-06-07”),8.131,8.13],[new Date(“2016-06-08”),8.107,8.11],[new Date(“2016-06-09”),8.145,8.14],[new Date(“2016-06-10”),8.246,8.25],[new Date(“2016-06-11”),8.259,8.26],[new Date(“2016-06-12”),8.266,8.27],[new Date(“2016-06-13”),8.272,8.27],[new Date(“2016-06-14”),8.338,8.34],[new Date(“2016-06-15”),8.311,8.31],[new Date(“2016-06-16”),8.379,8.38],[new Date(“2016-06-17”),8.360,8.36],[new Date(“2016-06-18”),8.363,8.36],[new Date(“2016-06-19”),8.314,8.31],[new Date(“2016-06-20”),8.294,8.29],[new Date(“2016-06-21”),8.301,8.30],[new Date(“2016-06-22”),8.261,8.26],[new Date(“2016-06-23”),8.171,8.17],[new Date(“2016-06-24”),8.381,8.38],[new Date(“2016-06-25”),8.427,8.43],[new Date(“2016-06-26”),8.502,8.50],[new Date(“2016-06-27”),8.543,8.54],[new Date(“2016-06-28”),8.486,8.49],[new Date(“2016-06-29”),8.411,8.41],[new Date(“2016-06-30″),8.376,8.38],]);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_6’));
chart.draw(data, options);
}

May, 2016

01      8.0565
02      8.0264
↗0.030, 0.37%
03      8.1037
↘0.077, 0.96%
04      8.1320
↘0.028, 0.35%
05      8.1668
↘0.035, 0.43%
06      8.1952
↘0.028, 0.35%
07      8.2029
↘0.008, 0.09%
08      8.2017
↗0.001, 0.02%
09      8.2163
↘0.015, 0.18%
10      8.2052
↗0.011, 0.13%
11      8.1697
↗0.036, 0.43%
12      8.1426
↗0.027, 0.33%
13      8.1892
↘0.047, 0.57%
14      8.1949
↘0.006, 0.07%
15      8.1984
↘0.004, 0.04%
16      8.1829
↗0.016, 0.19%
17      8.1934
↘0.011, 0.13%
18      8.2642
↘0.071, 0.86%
19      8.2924
↘0.028, 0.34%
20      8.3304
↘0.038, 0.46%
21      8.3293
↗0.001, 0.01%
22      8.3293
↘0.000, 0.00%
23      8.3466
↘0.017, 0.21%
24      8.3515
↘0.005, 0.06%
25      8.3314
↗0.020, 0.24%
26      8.2853
↗0.046, 0.55%
27      8.3284
↘0.043, 0.52%
28      8.3295
↘0.001, 0.01%
29      8.3375
↘0.008, 0.10%
30      8.3432
↘0.006, 0.07%
31      8.3697
↘0.027, 0.32%
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(“2016-05-01”),8.056,8.06],[new Date(“2016-05-02”),8.026,8.03],[new Date(“2016-05-03”),8.104,8.10],[new Date(“2016-05-04”),8.132,8.13],[new Date(“2016-05-05”),8.167,8.17],[new Date(“2016-05-06”),8.195,8.20],[new Date(“2016-05-07”),8.203,8.20],[new Date(“2016-05-08”),8.202,8.20],[new Date(“2016-05-09”),8.216,8.22],[new Date(“2016-05-10”),8.205,8.21],[new Date(“2016-05-11”),8.170,8.17],[new Date(“2016-05-12”),8.143,8.14],[new Date(“2016-05-13”),8.189,8.19],[new Date(“2016-05-14”),8.195,8.19],[new Date(“2016-05-15”),8.198,8.20],[new Date(“2016-05-16”),8.183,8.18],[new Date(“2016-05-17”),8.193,8.19],[new Date(“2016-05-18”),8.264,8.26],[new Date(“2016-05-19”),8.292,8.29],[new Date(“2016-05-20”),8.330,8.33],[new Date(“2016-05-21”),8.329,8.33],[new Date(“2016-05-22”),8.329,8.33],[new Date(“2016-05-23”),8.347,8.35],[new Date(“2016-05-24”),8.352,8.35],[new Date(“2016-05-25”),8.331,8.33],[new Date(“2016-05-26”),8.285,8.29],[new Date(“2016-05-27”),8.328,8.33],[new Date(“2016-05-28”),8.329,8.33],[new Date(“2016-05-29”),8.338,8.34],[new Date(“2016-05-30”),8.343,8.34],[new Date(“2016-05-31″),8.370,8.37],]);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_5’));
chart.draw(data, options);
}

April, 2016

01      8.3130
02      8.3117
↗0.001, 0.02%
03      8.3152
↘0.004, 0.04%
04      8.3279
↘0.013, 0.15%
05      8.3319
↘0.004, 0.05%
06      8.3230
↗0.009, 0.11%
07      8.3275
↘0.004, 0.05%
08      8.2534
↗0.074, 0.89%
09      8.2473
↗0.006, 0.07%
10      8.2279
↗0.019, 0.23%
11      8.2075
↗0.020, 0.25%
12      8.1832
↗0.024, 0.30%
13      8.2216
↘0.038, 0.47%
14      8.2302
↘0.009, 0.11%
15      8.2493
↘0.019, 0.23%
16      8.2494
↘0.000, 0.00%
17      8.3011
↘0.052, 0.63%
18      8.2244
↗0.077, 0.92%
19      8.1547
↗0.070, 0.85%
20      8.1270
↗0.028, 0.34%
21      8.1887
↘0.062, 0.76%
22      8.2175
↘0.029, 0.35%
23      8.2305
↘0.013, 0.16%
24      8.2359
↘0.005, 0.07%
25      8.2113
↗0.025, 0.30%
26      8.1719
↗0.039, 0.48%
27      8.1566
↗0.015, 0.19%
28      8.1430
↗0.014, 0.17%
29      8.0716
↗0.071, 0.88%
30      8.0617
↗0.010, 0.12%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-04-01”),8.313,8.31],[new Date(“2016-04-02”),8.312,8.31],[new Date(“2016-04-03”),8.315,8.32],[new Date(“2016-04-04”),8.328,8.33],[new Date(“2016-04-05”),8.332,8.33],[new Date(“2016-04-06”),8.323,8.32],[new Date(“2016-04-07”),8.327,8.33],[new Date(“2016-04-08”),8.253,8.25],[new Date(“2016-04-09”),8.247,8.25],[new Date(“2016-04-10”),8.228,8.23],[new Date(“2016-04-11”),8.207,8.21],[new Date(“2016-04-12”),8.183,8.18],[new Date(“2016-04-13”),8.222,8.22],[new Date(“2016-04-14”),8.230,8.23],[new Date(“2016-04-15”),8.249,8.25],[new Date(“2016-04-16”),8.249,8.25],[new Date(“2016-04-17”),8.301,8.30],[new Date(“2016-04-18”),8.224,8.22],[new Date(“2016-04-19”),8.155,8.15],[new Date(“2016-04-20”),8.127,8.13],[new Date(“2016-04-21”),8.189,8.19],[new Date(“2016-04-22”),8.218,8.22],[new Date(“2016-04-23”),8.231,8.23],[new Date(“2016-04-24”),8.236,8.24],[new Date(“2016-04-25”),8.211,8.21],[new Date(“2016-04-26”),8.172,8.17],[new Date(“2016-04-27”),8.157,8.16],[new Date(“2016-04-28”),8.143,8.14],[new Date(“2016-04-29”),8.072,8.07],[new Date(“2016-04-30″),8.062,8.06],]);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      8.6597
02      8.6669
↘0.007, 0.08%
03      8.6025
↗0.064, 0.74%
04      8.5107
↗0.092, 1.07%
05      8.4930
↗0.018, 0.21%
06      8.4925
↗0.001, 0.01%
07      8.4945
↘0.002, 0.02%
08      8.5526
↘0.058, 0.68%
09      8.5248
↗0.028, 0.33%
10      8.5226
↗0.002, 0.03%
11      8.4370
↗0.086, 1.00%
12      8.4277
↗0.009, 0.11%
13      8.4164
↗0.011, 0.13%
14      8.4624
↘0.046, 0.55%
15      8.5312
↘0.069, 0.81%
16      8.4700
↗0.061, 0.72%
17      8.3693
↗0.101, 1.19%
18      8.3825
↘0.013, 0.16%
19      8.3690
↗0.013, 0.16%
20      8.3797
↘0.011, 0.13%
21      8.4050
↘0.025, 0.30%
22      8.3975
↗0.007, 0.09%
23      8.4648
↘0.067, 0.80%
24      8.4729
↘0.008, 0.10%
25      8.5092
↘0.036, 0.43%
26      8.5081
↗0.001, 0.01%
27      8.4839
↗0.024, 0.28%
28      8.4420
↗0.042, 0.49%
29      8.4067
↗0.035, 0.42%
30      8.3355
↗0.071, 0.85%
31      8.2867
↗0.049, 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(“2016-03-01”),8.660,8.66],[new Date(“2016-03-02”),8.667,8.67],[new Date(“2016-03-03”),8.603,8.60],[new Date(“2016-03-04”),8.511,8.51],[new Date(“2016-03-05”),8.493,8.49],[new Date(“2016-03-06”),8.492,8.49],[new Date(“2016-03-07”),8.494,8.49],[new Date(“2016-03-08”),8.553,8.55],[new Date(“2016-03-09”),8.525,8.52],[new Date(“2016-03-10”),8.523,8.52],[new Date(“2016-03-11”),8.437,8.44],[new Date(“2016-03-12”),8.428,8.43],[new Date(“2016-03-13”),8.416,8.42],[new Date(“2016-03-14”),8.462,8.46],[new Date(“2016-03-15”),8.531,8.53],[new Date(“2016-03-16”),8.470,8.47],[new Date(“2016-03-17”),8.369,8.37],[new Date(“2016-03-18”),8.382,8.38],[new Date(“2016-03-19”),8.369,8.37],[new Date(“2016-03-20”),8.380,8.38],[new Date(“2016-03-21”),8.405,8.40],[new Date(“2016-03-22”),8.397,8.40],[new Date(“2016-03-23”),8.465,8.46],[new Date(“2016-03-24”),8.473,8.47],[new Date(“2016-03-25”),8.509,8.51],[new Date(“2016-03-26”),8.508,8.51],[new Date(“2016-03-27”),8.484,8.48],[new Date(“2016-03-28”),8.442,8.44],[new Date(“2016-03-29”),8.407,8.41],[new Date(“2016-03-30”),8.336,8.34],[new Date(“2016-03-31″),8.287,8.29],]);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      8.6867
02      8.7107
↘0.024, 0.28%
03      8.5972
↗0.114, 1.30%
04      8.5386
↗0.059, 0.68%
05      8.5678
↘0.029, 0.34%
06      8.5704
↘0.003, 0.03%
07      8.5630
↗0.007, 0.09%
08      8.5771
↘0.014, 0.16%
09      8.5875
↘0.010, 0.12%
10      8.5366
↗0.051, 0.59%
11      8.5637
↘0.027, 0.32%
12      8.5716
↘0.008, 0.09%
13      8.5777
↘0.006, 0.07%
14      8.5888
↘0.011, 0.13%
15      8.6112
↘0.022, 0.26%
16      8.6251
↘0.014, 0.16%
17      8.5599
↗0.065, 0.76%
18      8.5944
↘0.035, 0.40%
19      8.5585
↗0.036, 0.42%
20      8.5628
↘0.004, 0.05%
21      8.5708
↘0.008, 0.09%
22      8.5939
↘0.023, 0.27%
23      8.5997
↘0.006, 0.07%
24      8.6569
↘0.057, 0.67%
25      8.6299
↗0.027, 0.31%
26      8.6817
↘0.052, 0.60%
27      8.6775
↗0.004, 0.05%
28      8.6951
↘0.018, 0.20%
29      8.6945
↗0.001, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-02-01”),8.687,8.69],[new Date(“2016-02-02”),8.711,8.71],[new Date(“2016-02-03”),8.597,8.60],[new Date(“2016-02-04”),8.539,8.54],[new Date(“2016-02-05”),8.568,8.57],[new Date(“2016-02-06”),8.570,8.57],[new Date(“2016-02-07”),8.563,8.56],[new Date(“2016-02-08”),8.577,8.58],[new Date(“2016-02-09”),8.588,8.59],[new Date(“2016-02-10”),8.537,8.54],[new Date(“2016-02-11”),8.564,8.56],[new Date(“2016-02-12”),8.572,8.57],[new Date(“2016-02-13”),8.578,8.58],[new Date(“2016-02-14”),8.589,8.59],[new Date(“2016-02-15”),8.611,8.61],[new Date(“2016-02-16”),8.625,8.63],[new Date(“2016-02-17”),8.560,8.56],[new Date(“2016-02-18”),8.594,8.59],[new Date(“2016-02-19”),8.558,8.56],[new Date(“2016-02-20”),8.563,8.56],[new Date(“2016-02-21”),8.571,8.57],[new Date(“2016-02-22”),8.594,8.59],[new Date(“2016-02-23”),8.600,8.60],[new Date(“2016-02-24”),8.657,8.66],[new Date(“2016-02-25”),8.630,8.63],[new Date(“2016-02-26”),8.682,8.68],[new Date(“2016-02-27”),8.677,8.68],[new Date(“2016-02-28”),8.695,8.70],[new Date(“2016-02-29″),8.695,8.69],]);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      8.8369
02      8.8448
↘0.008, 0.09%
03      8.8370
↗0.008, 0.09%
04      8.8742
↘0.037, 0.42%
05      8.8958
↘0.022, 0.24%
06      8.9472
↘0.051, 0.58%
07      8.8988
↗0.048, 0.54%
08      8.8884
↗0.010, 0.12%
09      8.8802
↗0.008, 0.09%
10      8.8540
↗0.026, 0.29%
11      8.9250
↘0.071, 0.80%
12      8.8859
↗0.039, 0.44%
13      8.8411
↗0.045, 0.50%
14      8.7786
↗0.063, 0.71%
15      8.8286
↘0.050, 0.57%
16      8.8254
↗0.003, 0.04%
17      8.8343
↘0.009, 0.10%
18      8.8826
↘0.048, 0.55%
19      8.8290
↗0.054, 0.60%
20      8.8765
↘0.048, 0.54%
21      8.8003
↗0.076, 0.86%
22      8.7643
↗0.036, 0.41%
23      8.7429
↗0.021, 0.24%
24      8.7421
↗0.001, 0.01%
25      8.7550
↘0.013, 0.15%
26      8.7126
↗0.042, 0.49%
27      8.6834
↗0.029, 0.34%
28      8.6299
↗0.053, 0.62%
29      8.6739
↘0.044, 0.51%
30      8.6748
↘0.001, 0.01%
31      8.6847
↘0.010, 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(“2016-01-01”),8.837,8.84],[new Date(“2016-01-02”),8.845,8.84],[new Date(“2016-01-03”),8.837,8.84],[new Date(“2016-01-04”),8.874,8.87],[new Date(“2016-01-05”),8.896,8.90],[new Date(“2016-01-06”),8.947,8.95],[new Date(“2016-01-07”),8.899,8.90],[new Date(“2016-01-08”),8.888,8.89],[new Date(“2016-01-09”),8.880,8.88],[new Date(“2016-01-10”),8.854,8.85],[new Date(“2016-01-11”),8.925,8.92],[new Date(“2016-01-12”),8.886,8.89],[new Date(“2016-01-13”),8.841,8.84],[new Date(“2016-01-14”),8.779,8.78],[new Date(“2016-01-15”),8.829,8.83],[new Date(“2016-01-16”),8.825,8.83],[new Date(“2016-01-17”),8.834,8.83],[new Date(“2016-01-18”),8.883,8.88],[new Date(“2016-01-19”),8.829,8.83],[new Date(“2016-01-20”),8.877,8.88],[new Date(“2016-01-21”),8.800,8.80],[new Date(“2016-01-22”),8.764,8.76],[new Date(“2016-01-23”),8.743,8.74],[new Date(“2016-01-24”),8.742,8.74],[new Date(“2016-01-25”),8.755,8.76],[new Date(“2016-01-26”),8.713,8.71],[new Date(“2016-01-27”),8.683,8.68],[new Date(“2016-01-28”),8.630,8.63],[new Date(“2016-01-29”),8.674,8.67],[new Date(“2016-01-30”),8.675,8.67],[new Date(“2016-01-31″),8.685,8.68],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}