Ukrainian Hryvnia UAH 2016 Conversion Rates

  • Opening Value is 24.038740 UAH per Dollar
  • Closing Value is 26.990367 UAH per Dollar
  • Change in Value during 2016 is 2.9516 which is 12.28%
  • Best Performance is on 2016-01-12 with 23.253280 UAH per Dollar
  • Lowest Performance is on 2016-02-28 with 27.286620 UAH per Dollar
  • Average Value is 25.5244 UAH per Dollar
  • Swing Between the higest and the lowest is 4.0333 per Dollar, that is 16.78% compared to the opening value.

USD to UAH Conversion Rates – 12 months

Date 1 USD =
2016-12-31 26.9904 UAH
2016-11-30 25.5196 UAH
2016-10-31 25.5001 UAH
2016-09-30 25.9036 UAH
2016-08-31 26.2000 UAH
2016-07-31 24.8198 UAH
2016-06-30 24.8795 UAH
2016-05-31 25.1262 UAH
2016-04-30 25.1674 UAH
2016-03-31 26.2684 UAH
2016-02-29 27.0941 UAH
2016-01-31 25.6952 UAH
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”),26.990,26.99],[new Date(“2016-11-30”),25.520,25.52],[new Date(“2016-10-31”),25.500,25.50],[new Date(“2016-09-30”),25.904,25.90],[new Date(“2016-08-31”),26.200,26.20],[new Date(“2016-07-31”),24.820,24.82],[new Date(“2016-06-30”),24.880,24.88],[new Date(“2016-05-31”),25.126,25.13],[new Date(“2016-04-30”),25.167,25.17],[new Date(“2016-03-31”),26.268,26.27],[new Date(“2016-02-29”),27.094,27.09],[new Date(“2016-01-31”),25.695,25.70],]);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      25.6496
02      25.9700
↘0.320, 1.25%
03      25.9700
→0.000, 0.00%
04      25.9700
→0.000, 0.00%
05      26.0500
↘0.080, 0.31%
06      26.0600
↘0.010, 0.04%
07      25.6501
↗0.410, 1.57%
08      25.6300
↗0.020, 0.08%
09      25.9904
↘0.360, 1.41%
10      25.9904
→0.000, 0.00%
11      25.9900
↗0.000, 0.00%
12      26.0400
↘0.050, 0.19%
13      26.1100
↘0.070, 0.27%
14      26.3100
↘0.200, 0.77%
15      25.9700
↗0.340, 1.29%
16      26.2000
↘0.230, 0.89%
17      26.2000
→0.000, 0.00%
18      26.2000
→0.000, 0.00%
19      26.2299
↘0.030, 0.11%
20      26.3900
↘0.160, 0.61%
21      26.3700
↗0.020, 0.08%
22      26.1400
↗0.230, 0.87%
23      26.2604
↘0.120, 0.46%
24      26.2604
→0.000, 0.00%
25      26.2598
↗0.001, 0.00%
26      26.3100
↘0.050, 0.19%
27      26.5900
↘0.280, 1.06%
28      27.1400
↘0.550, 2.07%
29      26.9895
↗0.151, 0.55%
30      26.9904
↘0.001, 0.00%
31      26.9904
→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”),25.650,25.65],[new Date(“2016-12-02”),25.970,25.97],[new Date(“2016-12-03”),25.970,25.97],[new Date(“2016-12-04”),25.970,25.97],[new Date(“2016-12-05”),26.050,26.05],[new Date(“2016-12-06”),26.060,26.06],[new Date(“2016-12-07”),25.650,25.65],[new Date(“2016-12-08”),25.630,25.63],[new Date(“2016-12-09”),25.990,25.99],[new Date(“2016-12-10”),25.990,25.99],[new Date(“2016-12-11”),25.990,25.99],[new Date(“2016-12-12”),26.040,26.04],[new Date(“2016-12-13”),26.110,26.11],[new Date(“2016-12-14”),26.310,26.31],[new Date(“2016-12-15”),25.970,25.97],[new Date(“2016-12-16”),26.200,26.20],[new Date(“2016-12-17”),26.200,26.20],[new Date(“2016-12-18”),26.200,26.20],[new Date(“2016-12-19”),26.230,26.23],[new Date(“2016-12-20”),26.390,26.39],[new Date(“2016-12-21”),26.370,26.37],[new Date(“2016-12-22”),26.140,26.14],[new Date(“2016-12-23”),26.260,26.26],[new Date(“2016-12-24”),26.260,26.26],[new Date(“2016-12-25”),26.260,26.26],[new Date(“2016-12-26”),26.310,26.31],[new Date(“2016-12-27”),26.590,26.59],[new Date(“2016-12-28”),27.140,27.14],[new Date(“2016-12-29”),26.989,26.99],[new Date(“2016-12-30”),26.990,26.99],[new Date(“2016-12-31″),26.990,26.99],]);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      25.5725
02      25.4797
↗0.093, 0.36%
03      25.5701
↘0.090, 0.35%
04      25.5650
↗0.005, 0.02%
05      25.5650
→0.000, 0.00%
06      25.5650
→0.000, 0.00%
07      25.5600
↗0.005, 0.02%
08      25.5500
↗0.010, 0.04%
09      25.5400
↗0.010, 0.04%
10      25.5650
↘0.025, 0.10%
11      25.6200
↘0.055, 0.22%
12      25.6200
→0.000, 0.00%
13      25.6200
→0.000, 0.00%
14      25.7498
↘0.130, 0.51%
15      26.1400
↘0.390, 1.52%
16      26.1703
↘0.030, 0.12%
17      25.9700
↗0.200, 0.77%
18      25.8504
↗0.120, 0.46%
19      25.8504
→0.000, 0.00%
20      25.8498
↗0.001, 0.00%
21      25.7000
↗0.150, 0.58%
22      25.6300
↗0.070, 0.27%
23      25.5803
↗0.050, 0.19%
24      25.5796
↗0.001, 0.00%
25      25.7000
↘0.120, 0.47%
26      25.7000
→0.000, 0.00%
27      25.7000
→0.000, 0.00%
28      25.6300
↗0.070, 0.27%
29      25.5703
↗0.060, 0.23%
30      25.5196
↗0.051, 0.20%
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”),25.573,25.57],[new Date(“2016-11-02”),25.480,25.48],[new Date(“2016-11-03”),25.570,25.57],[new Date(“2016-11-04”),25.565,25.57],[new Date(“2016-11-05”),25.565,25.57],[new Date(“2016-11-06”),25.565,25.57],[new Date(“2016-11-07”),25.560,25.56],[new Date(“2016-11-08”),25.550,25.55],[new Date(“2016-11-09”),25.540,25.54],[new Date(“2016-11-10”),25.565,25.57],[new Date(“2016-11-11”),25.620,25.62],[new Date(“2016-11-12”),25.620,25.62],[new Date(“2016-11-13”),25.620,25.62],[new Date(“2016-11-14”),25.750,25.75],[new Date(“2016-11-15”),26.140,26.14],[new Date(“2016-11-16”),26.170,26.17],[new Date(“2016-11-17”),25.970,25.97],[new Date(“2016-11-18”),25.850,25.85],[new Date(“2016-11-19”),25.850,25.85],[new Date(“2016-11-20”),25.850,25.85],[new Date(“2016-11-21”),25.700,25.70],[new Date(“2016-11-22”),25.630,25.63],[new Date(“2016-11-23”),25.580,25.58],[new Date(“2016-11-24”),25.580,25.58],[new Date(“2016-11-25”),25.700,25.70],[new Date(“2016-11-26”),25.700,25.70],[new Date(“2016-11-27”),25.700,25.70],[new Date(“2016-11-28”),25.630,25.63],[new Date(“2016-11-29”),25.570,25.57],[new Date(“2016-11-30″),25.520,25.52],]);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      25.9036
02      25.9100
↘0.006, 0.02%
03      25.8800
↗0.030, 0.12%
04      25.8000
↗0.080, 0.31%
05      25.8402
↘0.040, 0.16%
06      25.8600
↘0.020, 0.08%
07      25.7504
↗0.110, 0.42%
08      25.7504
→0.000, 0.00%
09      25.7499
↗0.001, 0.00%
10      25.8000
↘0.050, 0.19%
11      25.8350
↘0.035, 0.14%
12      25.7900
↗0.045, 0.17%
13      25.7697
↗0.020, 0.08%
14      25.7704
↘0.001, 0.00%
15      25.7704
→0.000, 0.00%
16      25.7700
↗0.000, 0.00%
17      25.7100
↗0.060, 0.23%
18      25.5802
↗0.130, 0.51%
19      25.6804
↘0.100, 0.39%
20      25.6100
↗0.070, 0.27%
21      25.6375
↘0.027, 0.11%
22      25.6375
→0.000, 0.00%
23      25.6375
→0.000, 0.00%
24      25.6108
↗0.027, 0.10%
25      25.6100
↗0.001, 0.00%
26      25.4500
↗0.160, 0.62%
27      25.5034
↘0.053, 0.21%
28      25.4700
↗0.033, 0.13%
29      25.4700
→0.000, 0.00%
30      25.4700
→0.000, 0.00%
31      25.5001
↘0.030, 0.12%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-10-01”),25.904,25.90],[new Date(“2016-10-02”),25.910,25.91],[new Date(“2016-10-03”),25.880,25.88],[new Date(“2016-10-04”),25.800,25.80],[new Date(“2016-10-05”),25.840,25.84],[new Date(“2016-10-06”),25.860,25.86],[new Date(“2016-10-07”),25.750,25.75],[new Date(“2016-10-08”),25.750,25.75],[new Date(“2016-10-09”),25.750,25.75],[new Date(“2016-10-10”),25.800,25.80],[new Date(“2016-10-11”),25.835,25.83],[new Date(“2016-10-12”),25.790,25.79],[new Date(“2016-10-13”),25.770,25.77],[new Date(“2016-10-14”),25.770,25.77],[new Date(“2016-10-15”),25.770,25.77],[new Date(“2016-10-16”),25.770,25.77],[new Date(“2016-10-17”),25.710,25.71],[new Date(“2016-10-18”),25.580,25.58],[new Date(“2016-10-19”),25.680,25.68],[new Date(“2016-10-20”),25.610,25.61],[new Date(“2016-10-21”),25.638,25.64],[new Date(“2016-10-22”),25.638,25.64],[new Date(“2016-10-23”),25.638,25.64],[new Date(“2016-10-24”),25.611,25.61],[new Date(“2016-10-25”),25.610,25.61],[new Date(“2016-10-26”),25.450,25.45],[new Date(“2016-10-27”),25.503,25.50],[new Date(“2016-10-28”),25.470,25.47],[new Date(“2016-10-29”),25.470,25.47],[new Date(“2016-10-30”),25.470,25.47],[new Date(“2016-10-31″),25.500,25.50],]);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      26.5988
02      26.6504
↘0.052, 0.19%
03      26.6504
→0.000, 0.00%
04      24.7975
↗1.853, 6.95%
05      24.7975
→0.000, 0.00%
06      26.8100
↘2.012, 8.12%
07      26.6800
↗0.130, 0.48%
08      26.6300
↗0.050, 0.19%
09      26.6300
→0.000, 0.00%
10      26.6300
→0.000, 0.00%
11      26.6300
→0.000, 0.00%
12      26.5900
↗0.040, 0.15%
13      26.2000
↗0.390, 1.47%
14      26.3298
↘0.130, 0.50%
15      26.0796
↗0.250, 0.95%
16      25.8000
↗0.280, 1.07%
17      25.8000
→0.000, 0.00%
18      25.8000
→0.000, 0.00%
19      25.7304
↗0.070, 0.27%
20      25.9102
↘0.180, 0.70%
21      25.8900
↗0.020, 0.08%
22      25.9303
↘0.040, 0.16%
23      25.9304
↘0.000, 0.00%
24      25.9304
→0.000, 0.00%
25      25.9300
↗0.000, 0.00%
26      25.8700
↗0.060, 0.23%
27      25.7703
↗0.100, 0.39%
28      25.8600
↘0.090, 0.35%
29      25.8400
↗0.020, 0.08%
30      25.9036
↘0.064, 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(“2016-09-01”),26.599,26.60],[new Date(“2016-09-02”),26.650,26.65],[new Date(“2016-09-03”),26.650,26.65],[new Date(“2016-09-04”),24.798,24.80],[new Date(“2016-09-05”),24.798,24.80],[new Date(“2016-09-06”),26.810,26.81],[new Date(“2016-09-07”),26.680,26.68],[new Date(“2016-09-08”),26.630,26.63],[new Date(“2016-09-09”),26.630,26.63],[new Date(“2016-09-10”),26.630,26.63],[new Date(“2016-09-11”),26.630,26.63],[new Date(“2016-09-12”),26.590,26.59],[new Date(“2016-09-13”),26.200,26.20],[new Date(“2016-09-14”),26.330,26.33],[new Date(“2016-09-15”),26.080,26.08],[new Date(“2016-09-16”),25.800,25.80],[new Date(“2016-09-17”),25.800,25.80],[new Date(“2016-09-18”),25.800,25.80],[new Date(“2016-09-19”),25.730,25.73],[new Date(“2016-09-20”),25.910,25.91],[new Date(“2016-09-21”),25.890,25.89],[new Date(“2016-09-22”),25.930,25.93],[new Date(“2016-09-23”),25.930,25.93],[new Date(“2016-09-24”),25.930,25.93],[new Date(“2016-09-25”),25.930,25.93],[new Date(“2016-09-26”),25.870,25.87],[new Date(“2016-09-27”),25.770,25.77],[new Date(“2016-09-28”),25.860,25.86],[new Date(“2016-09-29”),25.840,25.84],[new Date(“2016-09-30″),25.904,25.90],]);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      24.8000
02      24.7975
↗0.002, 0.01%
03      24.8050
↘0.008, 0.03%
04      24.7701
↗0.035, 0.14%
05      24.8100
↘0.040, 0.16%
06      24.8100
→0.000, 0.00%
07      24.8100
→0.000, 0.00%
08      24.8250
↘0.015, 0.06%
09      24.8000
↗0.025, 0.10%
10      24.8000
→0.000, 0.00%
11      24.9008
↘0.101, 0.41%
12      25.0003
↘0.100, 0.40%
13      25.0003
→0.000, 0.00%
14      24.9999
↗0.000, 0.00%
15      25.0000
↘0.000, 0.00%
16      24.8800
↗0.120, 0.48%
17      25.0796
↘0.200, 0.80%
18      25.1698
↘0.090, 0.36%
19      25.2100
↘0.040, 0.16%
20      25.2100
→0.000, 0.00%
21      25.2100
→0.000, 0.00%
22      25.2900
↘0.080, 0.32%
23      25.3297
↘0.040, 0.16%
24      25.3299
↘0.000, 0.00%
25      25.4400
↘0.110, 0.43%
26      25.4600
↘0.020, 0.08%
27      25.4600
→0.000, 0.00%
28      25.4600
→0.000, 0.00%
29      25.5300
↘0.070, 0.27%
30      25.7000
↘0.170, 0.67%
31      26.2000
↘0.500, 1.95%
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”),24.800,24.80],[new Date(“2016-08-02”),24.798,24.80],[new Date(“2016-08-03”),24.805,24.81],[new Date(“2016-08-04”),24.770,24.77],[new Date(“2016-08-05”),24.810,24.81],[new Date(“2016-08-06”),24.810,24.81],[new Date(“2016-08-07”),24.810,24.81],[new Date(“2016-08-08”),24.825,24.83],[new Date(“2016-08-09”),24.800,24.80],[new Date(“2016-08-10”),24.800,24.80],[new Date(“2016-08-11”),24.901,24.90],[new Date(“2016-08-12”),25.000,25.00],[new Date(“2016-08-13”),25.000,25.00],[new Date(“2016-08-14”),25.000,25.00],[new Date(“2016-08-15”),25.000,25.00],[new Date(“2016-08-16”),24.880,24.88],[new Date(“2016-08-17”),25.080,25.08],[new Date(“2016-08-18”),25.170,25.17],[new Date(“2016-08-19”),25.210,25.21],[new Date(“2016-08-20”),25.210,25.21],[new Date(“2016-08-21”),25.210,25.21],[new Date(“2016-08-22”),25.290,25.29],[new Date(“2016-08-23”),25.330,25.33],[new Date(“2016-08-24”),25.330,25.33],[new Date(“2016-08-25”),25.440,25.44],[new Date(“2016-08-26”),25.460,25.46],[new Date(“2016-08-27”),25.460,25.46],[new Date(“2016-08-28”),25.460,25.46],[new Date(“2016-08-29”),25.530,25.53],[new Date(“2016-08-30”),25.700,25.70],[new Date(“2016-08-31″),26.200,26.20],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2016

01      24.8036
02      24.8197
↘0.016, 0.06%
03      24.8028
↗0.017, 0.07%
04      24.7750
↗0.028, 0.11%
05      24.9502
↘0.175, 0.71%
06      24.7857
↗0.164, 0.66%
07      24.8559
↘0.070, 0.28%
08      24.8264
↗0.030, 0.12%
09      24.8339
↘0.008, 0.03%
10      24.8504
↘0.017, 0.07%
11      24.8639
↘0.014, 0.05%
12      24.8769
↘0.013, 0.05%
13      24.7628
↗0.114, 0.46%
14      24.7696
↘0.007, 0.03%
15      24.8204
↘0.051, 0.20%
16      24.8204
→0.000, 0.00%
17      24.8199
↗0.000, 0.00%
18      24.8350
↘0.015, 0.06%
19      24.8000
↗0.035, 0.14%
20      24.7900
↗0.010, 0.04%
21      24.8000
↘0.010, 0.04%
22      24.7404
↗0.060, 0.24%
23      24.7404
→0.000, 0.00%
24      24.7399
↗0.000, 0.00%
25      24.7697
↘0.030, 0.12%
26      24.7800
↘0.010, 0.04%
27      24.8000
↘0.020, 0.08%
28      24.7980
↗0.002, 0.01%
29      24.8204
↘0.022, 0.09%
30      24.8204
→0.000, 0.00%
31      24.8198
↗0.001, 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(“2016-07-01”),24.804,24.80],[new Date(“2016-07-02”),24.820,24.82],[new Date(“2016-07-03”),24.803,24.80],[new Date(“2016-07-04”),24.775,24.77],[new Date(“2016-07-05”),24.950,24.95],[new Date(“2016-07-06”),24.786,24.79],[new Date(“2016-07-07”),24.856,24.86],[new Date(“2016-07-08”),24.826,24.83],[new Date(“2016-07-09”),24.834,24.83],[new Date(“2016-07-10”),24.850,24.85],[new Date(“2016-07-11”),24.864,24.86],[new Date(“2016-07-12”),24.877,24.88],[new Date(“2016-07-13”),24.763,24.76],[new Date(“2016-07-14”),24.770,24.77],[new Date(“2016-07-15”),24.820,24.82],[new Date(“2016-07-16”),24.820,24.82],[new Date(“2016-07-17”),24.820,24.82],[new Date(“2016-07-18”),24.835,24.83],[new Date(“2016-07-19”),24.800,24.80],[new Date(“2016-07-20”),24.790,24.79],[new Date(“2016-07-21”),24.800,24.80],[new Date(“2016-07-22”),24.740,24.74],[new Date(“2016-07-23”),24.740,24.74],[new Date(“2016-07-24”),24.740,24.74],[new Date(“2016-07-25”),24.770,24.77],[new Date(“2016-07-26”),24.780,24.78],[new Date(“2016-07-27”),24.800,24.80],[new Date(“2016-07-28”),24.798,24.80],[new Date(“2016-07-29”),24.820,24.82],[new Date(“2016-07-30”),24.820,24.82],[new Date(“2016-07-31″),24.820,24.82],]);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      25.0870
02      25.0777
↗0.009, 0.04%
03      24.9631
↗0.115, 0.46%
04      24.9676
↘0.005, 0.02%
05      24.9672
↗0.000, 0.00%
06      24.9486
↗0.019, 0.07%
07      24.9157
↗0.033, 0.13%
08      24.9434
↘0.028, 0.11%
09      24.9897
↘0.046, 0.19%
10      25.0176
↘0.028, 0.11%
11      25.0402
↘0.023, 0.09%
12      25.0111
↗0.029, 0.12%
13      24.9417
↗0.069, 0.28%
14      24.9423
↘0.001, 0.00%
15      24.8439
↗0.098, 0.39%
16      24.9048
↘0.061, 0.25%
17      24.8848
↗0.020, 0.08%
18      24.8783
↗0.007, 0.03%
19      24.8676
↗0.011, 0.04%
20      24.9029
↘0.035, 0.14%
21      24.9619
↘0.059, 0.24%
22      24.8244
↗0.137, 0.55%
23      24.9113
↘0.087, 0.35%
24      24.8436
↗0.068, 0.27%
25      24.8403
↗0.003, 0.01%
26      24.8363
↗0.004, 0.02%
27      24.8498
↘0.014, 0.05%
28      24.9052
↘0.055, 0.22%
29      24.8805
↗0.025, 0.10%
30      24.8795
↗0.001, 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(“2016-06-01”),25.087,25.09],[new Date(“2016-06-02”),25.078,25.08],[new Date(“2016-06-03”),24.963,24.96],[new Date(“2016-06-04”),24.968,24.97],[new Date(“2016-06-05”),24.967,24.97],[new Date(“2016-06-06”),24.949,24.95],[new Date(“2016-06-07”),24.916,24.92],[new Date(“2016-06-08”),24.943,24.94],[new Date(“2016-06-09”),24.990,24.99],[new Date(“2016-06-10”),25.018,25.02],[new Date(“2016-06-11”),25.040,25.04],[new Date(“2016-06-12”),25.011,25.01],[new Date(“2016-06-13”),24.942,24.94],[new Date(“2016-06-14”),24.942,24.94],[new Date(“2016-06-15”),24.844,24.84],[new Date(“2016-06-16”),24.905,24.90],[new Date(“2016-06-17”),24.885,24.88],[new Date(“2016-06-18”),24.878,24.88],[new Date(“2016-06-19”),24.868,24.87],[new Date(“2016-06-20”),24.903,24.90],[new Date(“2016-06-21”),24.962,24.96],[new Date(“2016-06-22”),24.824,24.82],[new Date(“2016-06-23”),24.911,24.91],[new Date(“2016-06-24”),24.844,24.84],[new Date(“2016-06-25”),24.840,24.84],[new Date(“2016-06-26”),24.836,24.84],[new Date(“2016-06-27”),24.850,24.85],[new Date(“2016-06-28”),24.905,24.91],[new Date(“2016-06-29”),24.880,24.88],[new Date(“2016-06-30″),24.880,24.88],]);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      25.1385
02      25.1590
↘0.020, 0.08%
03      25.1342
↗0.025, 0.10%
04      25.1240
↗0.010, 0.04%
05      25.1920
↘0.068, 0.27%
06      25.1720
↗0.020, 0.08%
07      25.1795
↘0.007, 0.03%
08      25.1804
↘0.001, 0.00%
09      25.1841
↘0.004, 0.01%
10      25.2097
↘0.026, 0.10%
11      25.3159
↘0.106, 0.42%
12      25.2833
↗0.033, 0.13%
13      25.4646
↘0.181, 0.72%
14      25.4922
↘0.028, 0.11%
15      25.5168
↘0.025, 0.10%
16      25.4417
↗0.075, 0.29%
17      25.3821
↗0.060, 0.23%
18      25.3566
↗0.026, 0.10%
19      25.3543
↗0.002, 0.01%
20      25.1654
↗0.189, 0.75%
21      25.1499
↗0.015, 0.06%
22      25.1315
↗0.018, 0.07%
23      25.1224
↗0.009, 0.04%
24      25.1264
↘0.004, 0.02%
25      25.0960
↗0.030, 0.12%
26      25.1207
↘0.025, 0.10%
27      25.1364
↘0.016, 0.06%
28      25.1390
↘0.003, 0.01%
29      25.1484
↘0.009, 0.04%
30      25.1679
↘0.020, 0.08%
31      25.1262
↗0.042, 0.17%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),25.139,25.14],[new Date(“2016-05-02”),25.159,25.16],[new Date(“2016-05-03”),25.134,25.13],[new Date(“2016-05-04”),25.124,25.12],[new Date(“2016-05-05”),25.192,25.19],[new Date(“2016-05-06”),25.172,25.17],[new Date(“2016-05-07”),25.179,25.18],[new Date(“2016-05-08”),25.180,25.18],[new Date(“2016-05-09”),25.184,25.18],[new Date(“2016-05-10”),25.210,25.21],[new Date(“2016-05-11”),25.316,25.32],[new Date(“2016-05-12”),25.283,25.28],[new Date(“2016-05-13”),25.465,25.46],[new Date(“2016-05-14”),25.492,25.49],[new Date(“2016-05-15”),25.517,25.52],[new Date(“2016-05-16”),25.442,25.44],[new Date(“2016-05-17”),25.382,25.38],[new Date(“2016-05-18”),25.357,25.36],[new Date(“2016-05-19”),25.354,25.35],[new Date(“2016-05-20”),25.165,25.17],[new Date(“2016-05-21”),25.150,25.15],[new Date(“2016-05-22”),25.131,25.13],[new Date(“2016-05-23”),25.122,25.12],[new Date(“2016-05-24”),25.126,25.13],[new Date(“2016-05-25”),25.096,25.10],[new Date(“2016-05-26”),25.121,25.12],[new Date(“2016-05-27”),25.136,25.14],[new Date(“2016-05-28”),25.139,25.14],[new Date(“2016-05-29”),25.148,25.15],[new Date(“2016-05-30”),25.168,25.17],[new Date(“2016-05-31″),25.126,25.13],]);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      26.1040
02      26.0884
↗0.016, 0.06%
03      26.1111
↘0.023, 0.09%
04      26.1397
↘0.029, 0.11%
05      26.0252
↗0.114, 0.44%
06      25.9610
↗0.064, 0.25%
07      25.8376
↗0.123, 0.48%
08      25.6725
↗0.165, 0.64%
09      25.6492
↗0.023, 0.09%
10      25.6111
↗0.038, 0.15%
11      25.5804
↗0.031, 0.12%
12      25.4760
↗0.104, 0.41%
13      25.5158
↘0.040, 0.16%
14      25.5782
↘0.062, 0.24%
15      25.4717
↗0.107, 0.42%
16      25.4633
↗0.008, 0.03%
17      25.4567
↗0.007, 0.03%
18      25.4773
↘0.021, 0.08%
19      25.4197
↗0.058, 0.23%
20      25.4214
↘0.002, 0.01%
21      25.3760
↗0.045, 0.18%
22      25.3671
↗0.009, 0.03%
23      25.3508
↗0.016, 0.06%
24      25.3410
↗0.010, 0.04%
25      25.3380
↗0.003, 0.01%
26      25.2692
↗0.069, 0.27%
27      25.1916
↗0.078, 0.31%
28      25.2018
↘0.010, 0.04%
29      25.1685
↗0.033, 0.13%
30      25.1674
↗0.001, 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”),26.104,26.10],[new Date(“2016-04-02”),26.088,26.09],[new Date(“2016-04-03”),26.111,26.11],[new Date(“2016-04-04”),26.140,26.14],[new Date(“2016-04-05”),26.025,26.03],[new Date(“2016-04-06”),25.961,25.96],[new Date(“2016-04-07”),25.838,25.84],[new Date(“2016-04-08”),25.672,25.67],[new Date(“2016-04-09”),25.649,25.65],[new Date(“2016-04-10”),25.611,25.61],[new Date(“2016-04-11”),25.580,25.58],[new Date(“2016-04-12”),25.476,25.48],[new Date(“2016-04-13”),25.516,25.52],[new Date(“2016-04-14”),25.578,25.58],[new Date(“2016-04-15”),25.472,25.47],[new Date(“2016-04-16”),25.463,25.46],[new Date(“2016-04-17”),25.457,25.46],[new Date(“2016-04-18”),25.477,25.48],[new Date(“2016-04-19”),25.420,25.42],[new Date(“2016-04-20”),25.421,25.42],[new Date(“2016-04-21”),25.376,25.38],[new Date(“2016-04-22”),25.367,25.37],[new Date(“2016-04-23”),25.351,25.35],[new Date(“2016-04-24”),25.341,25.34],[new Date(“2016-04-25”),25.338,25.34],[new Date(“2016-04-26”),25.269,25.27],[new Date(“2016-04-27”),25.192,25.19],[new Date(“2016-04-28”),25.202,25.20],[new Date(“2016-04-29”),25.169,25.17],[new Date(“2016-04-30″),25.167,25.17],]);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      27.1748
02      26.7211
↗0.454, 1.67%
03      26.2131
↗0.508, 1.90%
04      26.2286
↘0.015, 0.06%
05      26.1635
↗0.065, 0.25%
06      26.2224
↘0.059, 0.22%
07      26.2332
↘0.011, 0.04%
08      26.2501
↘0.017, 0.06%
09      26.1049
↗0.145, 0.55%
10      25.6845
↗0.420, 1.61%
11      25.4692
↗0.215, 0.84%
12      25.3246
↗0.145, 0.57%
13      25.3042
↗0.020, 0.08%
14      25.9711
↘0.667, 2.64%
15      26.6890
↘0.718, 2.76%
16      26.8179
↘0.129, 0.48%
17      26.5753
↗0.243, 0.90%
18      26.5889
↘0.014, 0.05%
19      26.5791
↗0.010, 0.04%
20      26.5837
↘0.005, 0.02%
21      26.4084
↗0.175, 0.66%
22      26.2512
↗0.157, 0.60%
23      26.2114
↗0.040, 0.15%
24      26.2142
↘0.003, 0.01%
25      26.1631
↗0.051, 0.20%
26      26.1631
↗0.000, 0.00%
27      26.1866
↘0.024, 0.09%
28      26.1704
↗0.016, 0.06%
29      26.3068
↘0.136, 0.52%
30      26.2813
↗0.026, 0.10%
31      26.2684
↗0.013, 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(“2016-03-01”),27.175,27.17],[new Date(“2016-03-02”),26.721,26.72],[new Date(“2016-03-03”),26.213,26.21],[new Date(“2016-03-04”),26.229,26.23],[new Date(“2016-03-05”),26.164,26.16],[new Date(“2016-03-06”),26.222,26.22],[new Date(“2016-03-07”),26.233,26.23],[new Date(“2016-03-08”),26.250,26.25],[new Date(“2016-03-09”),26.105,26.10],[new Date(“2016-03-10”),25.684,25.68],[new Date(“2016-03-11”),25.469,25.47],[new Date(“2016-03-12”),25.325,25.32],[new Date(“2016-03-13”),25.304,25.30],[new Date(“2016-03-14”),25.971,25.97],[new Date(“2016-03-15”),26.689,26.69],[new Date(“2016-03-16”),26.818,26.82],[new Date(“2016-03-17”),26.575,26.58],[new Date(“2016-03-18”),26.589,26.59],[new Date(“2016-03-19”),26.579,26.58],[new Date(“2016-03-20”),26.584,26.58],[new Date(“2016-03-21”),26.408,26.41],[new Date(“2016-03-22”),26.251,26.25],[new Date(“2016-03-23”),26.211,26.21],[new Date(“2016-03-24”),26.214,26.21],[new Date(“2016-03-25”),26.163,26.16],[new Date(“2016-03-26”),26.163,26.16],[new Date(“2016-03-27”),26.187,26.19],[new Date(“2016-03-28”),26.170,26.17],[new Date(“2016-03-29”),26.307,26.31],[new Date(“2016-03-30”),26.281,26.28],[new Date(“2016-03-31″),26.268,26.27],]);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      25.5814
02      25.8516
↘0.270, 1.06%
03      25.6047
↗0.247, 0.95%
04      25.6813
↘0.077, 0.30%
05      25.8210
↘0.140, 0.54%
06      25.9013
↘0.080, 0.31%
07      25.9010
↗0.000, 0.00%
08      25.9372
↘0.036, 0.14%
09      25.9079
↗0.029, 0.11%
10      25.9276
↘0.020, 0.08%
11      25.9854
↘0.058, 0.22%
12      26.1181
↘0.133, 0.51%
13      26.1597
↘0.042, 0.16%
14      26.1945
↘0.035, 0.13%
15      26.7730
↘0.578, 2.21%
16      26.7049
↗0.068, 0.25%
17      26.9504
↘0.246, 0.92%
18      26.4568
↗0.494, 1.83%
19      26.9167
↘0.460, 1.74%
20      26.8758
↗0.041, 0.15%
21      26.9428
↘0.067, 0.25%
22      27.1058
↘0.163, 0.60%
23      27.2273
↘0.121, 0.45%
24      27.2490
↘0.022, 0.08%
25      27.1903
↗0.059, 0.22%
26      27.2011
↘0.011, 0.04%
27      27.2007
↗0.000, 0.00%
28      27.2866
↘0.086, 0.32%
29      27.0941
↗0.192, 0.71%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-02-01”),25.581,25.58],[new Date(“2016-02-02”),25.852,25.85],[new Date(“2016-02-03”),25.605,25.60],[new Date(“2016-02-04”),25.681,25.68],[new Date(“2016-02-05”),25.821,25.82],[new Date(“2016-02-06”),25.901,25.90],[new Date(“2016-02-07”),25.901,25.90],[new Date(“2016-02-08”),25.937,25.94],[new Date(“2016-02-09”),25.908,25.91],[new Date(“2016-02-10”),25.928,25.93],[new Date(“2016-02-11”),25.985,25.99],[new Date(“2016-02-12”),26.118,26.12],[new Date(“2016-02-13”),26.160,26.16],[new Date(“2016-02-14”),26.195,26.19],[new Date(“2016-02-15”),26.773,26.77],[new Date(“2016-02-16”),26.705,26.70],[new Date(“2016-02-17”),26.950,26.95],[new Date(“2016-02-18”),26.457,26.46],[new Date(“2016-02-19”),26.917,26.92],[new Date(“2016-02-20”),26.876,26.88],[new Date(“2016-02-21”),26.943,26.94],[new Date(“2016-02-22”),27.106,27.11],[new Date(“2016-02-23”),27.227,27.23],[new Date(“2016-02-24”),27.249,27.25],[new Date(“2016-02-25”),27.190,27.19],[new Date(“2016-02-26”),27.201,27.20],[new Date(“2016-02-27”),27.201,27.20],[new Date(“2016-02-28”),27.287,27.29],[new Date(“2016-02-29″),27.094,27.09],]);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      24.0387
02      24.0810
↘0.042, 0.18%
03      24.0819
↘0.001, 0.00%
04      24.1341
↘0.052, 0.22%
05      24.0649
↗0.069, 0.29%
06      23.4920
↗0.573, 2.38%
07      23.4095
↗0.082, 0.35%
08      23.6150
↘0.205, 0.88%
09      23.6656
↘0.051, 0.21%
10      23.7083
↘0.043, 0.18%
11      23.5176
↗0.191, 0.80%
12      23.2533
↗0.264, 1.12%
13      23.4830
↘0.230, 0.99%
14      23.9211
↘0.438, 1.87%
15      24.1760
↘0.255, 1.07%
16      24.2633
↘0.087, 0.36%
17      24.2077
↗0.056, 0.23%
18      24.5466
↘0.339, 1.40%
19      24.6084
↘0.062, 0.25%
20      24.4967
↗0.112, 0.45%
21      24.6999
↘0.203, 0.83%
22      24.6171
↗0.083, 0.34%
23      24.6493
↘0.032, 0.13%
24      24.7115
↘0.062, 0.25%
25      24.7814
↘0.070, 0.28%
26      24.8570
↘0.076, 0.31%
27      24.9087
↘0.052, 0.21%
28      25.0866
↘0.178, 0.71%
29      25.4944
↘0.408, 1.63%
30      25.5540
↘0.060, 0.23%
31      25.6952
↘0.141, 0.55%
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”),24.039,24.04],[new Date(“2016-01-02”),24.081,24.08],[new Date(“2016-01-03”),24.082,24.08],[new Date(“2016-01-04”),24.134,24.13],[new Date(“2016-01-05”),24.065,24.06],[new Date(“2016-01-06”),23.492,23.49],[new Date(“2016-01-07”),23.410,23.41],[new Date(“2016-01-08”),23.615,23.61],[new Date(“2016-01-09”),23.666,23.67],[new Date(“2016-01-10”),23.708,23.71],[new Date(“2016-01-11”),23.518,23.52],[new Date(“2016-01-12”),23.253,23.25],[new Date(“2016-01-13”),23.483,23.48],[new Date(“2016-01-14”),23.921,23.92],[new Date(“2016-01-15”),24.176,24.18],[new Date(“2016-01-16”),24.263,24.26],[new Date(“2016-01-17”),24.208,24.21],[new Date(“2016-01-18”),24.547,24.55],[new Date(“2016-01-19”),24.608,24.61],[new Date(“2016-01-20”),24.497,24.50],[new Date(“2016-01-21”),24.700,24.70],[new Date(“2016-01-22”),24.617,24.62],[new Date(“2016-01-23”),24.649,24.65],[new Date(“2016-01-24”),24.712,24.71],[new Date(“2016-01-25”),24.781,24.78],[new Date(“2016-01-26”),24.857,24.86],[new Date(“2016-01-27”),24.909,24.91],[new Date(“2016-01-28”),25.087,25.09],[new Date(“2016-01-29”),25.494,25.49],[new Date(“2016-01-30”),25.554,25.55],[new Date(“2016-01-31″),25.695,25.70],]);var options = {
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title: ‘Date’
},
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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);
}