Indian Rupee INR 2016 Conversion Rates

  • Opening Value is 66.245149 INR per Dollar
  • Closing Value is 67.944040 INR per Dollar
  • Change in Value during 2016 is 1.6989 which is 2.56%
  • Best Performance is on 2016-04-04 with 66.142160 INR per Dollar
  • Lowest Performance is on 2016-11-24 with 68.805003 INR per Dollar
  • Average Value is 67.1761 INR per Dollar
  • Swing Between the higest and the lowest is 2.6628 per Dollar, that is 4.02% compared to the opening value.

USD to INR Conversion Rates – 12 months

Date 1 USD =
2016-12-31 67.9440 INR
2016-11-30 68.5570 INR
2016-10-31 66.7000 INR
2016-09-30 66.6190 INR
2016-08-31 66.9301 INR
2016-07-31 66.7503 INR
2016-06-30 67.5377 INR
2016-05-31 67.2133 INR
2016-04-30 66.4082 INR
2016-03-31 66.2499 INR
2016-02-29 68.3404 INR
2016-01-31 67.8548 INR
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”),67.944,67.94],[new Date(“2016-11-30”),68.557,68.56],[new Date(“2016-10-31”),66.700,66.70],[new Date(“2016-09-30”),66.619,66.62],[new Date(“2016-08-31”),66.930,66.93],[new Date(“2016-07-31”),66.750,66.75],[new Date(“2016-06-30”),67.538,67.54],[new Date(“2016-05-31”),67.213,67.21],[new Date(“2016-04-30”),66.408,66.41],[new Date(“2016-03-31”),66.250,66.25],[new Date(“2016-02-29”),68.340,68.34],[new Date(“2016-01-31”),67.855,67.85],]);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      68.4000
02      68.0340
↗0.366, 0.54%
03      68.0340
→0.000, 0.00%
04      68.0340
→0.000, 0.00%
05      68.0120
↗0.022, 0.03%
06      67.7210
↗0.291, 0.43%
07      67.4310
↗0.290, 0.43%
08      67.4030
↗0.028, 0.04%
09      67.4590
↘0.056, 0.08%
10      67.4590
→0.000, 0.00%
11      67.4600
↘0.001, 0.00%
12      67.4170
↗0.043, 0.06%
13      67.3860
↗0.031, 0.05%
14      67.5170
↘0.131, 0.19%
15      67.8450
↘0.328, 0.49%
16      67.8450
→0.000, 0.00%
17      67.8450
→0.000, 0.00%
18      67.8350
↗0.010, 0.01%
19      67.8390
↘0.004, 0.01%
20      67.8940
↘0.055, 0.08%
21      67.8250
↗0.069, 0.10%
22      67.8350
↘0.010, 0.01%
23      67.8260
↗0.009, 0.01%
24      67.8260
→0.000, 0.00%
25      67.8300
↘0.004, 0.01%
26      67.7710
↗0.059, 0.09%
27      67.9660
↘0.195, 0.29%
28      68.2050
↘0.239, 0.35%
29      67.9303
↗0.275, 0.40%
30      67.9440
↘0.014, 0.02%
31      67.9440
→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”),68.400,68.40],[new Date(“2016-12-02”),68.034,68.03],[new Date(“2016-12-03”),68.034,68.03],[new Date(“2016-12-04”),68.034,68.03],[new Date(“2016-12-05”),68.012,68.01],[new Date(“2016-12-06”),67.721,67.72],[new Date(“2016-12-07”),67.431,67.43],[new Date(“2016-12-08”),67.403,67.40],[new Date(“2016-12-09”),67.459,67.46],[new Date(“2016-12-10”),67.459,67.46],[new Date(“2016-12-11”),67.460,67.46],[new Date(“2016-12-12”),67.417,67.42],[new Date(“2016-12-13”),67.386,67.39],[new Date(“2016-12-14”),67.517,67.52],[new Date(“2016-12-15”),67.845,67.85],[new Date(“2016-12-16”),67.845,67.85],[new Date(“2016-12-17”),67.845,67.85],[new Date(“2016-12-18”),67.835,67.83],[new Date(“2016-12-19”),67.839,67.84],[new Date(“2016-12-20”),67.894,67.89],[new Date(“2016-12-21”),67.825,67.82],[new Date(“2016-12-22”),67.835,67.83],[new Date(“2016-12-23”),67.826,67.83],[new Date(“2016-12-24”),67.826,67.83],[new Date(“2016-12-25”),67.830,67.83],[new Date(“2016-12-26”),67.771,67.77],[new Date(“2016-12-27”),67.966,67.97],[new Date(“2016-12-28”),68.205,68.21],[new Date(“2016-12-29”),67.930,67.93],[new Date(“2016-12-30”),67.944,67.94],[new Date(“2016-12-31″),67.944,67.94],]);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      66.7200
02      66.7100
↗0.010, 0.01%
03      66.6830
↗0.027, 0.04%
04      66.7800
↘0.097, 0.15%
05      66.7800
→0.000, 0.00%
06      66.7600
↗0.020, 0.03%
07      66.7300
↗0.030, 0.04%
08      66.2600
↗0.470, 0.70%
09      66.5043
↘0.244, 0.37%
10      67.0697
↘0.565, 0.85%
11      67.5290
↘0.459, 0.68%
12      67.5290
→0.000, 0.00%
13      67.5290
→0.000, 0.00%
14      67.7750
↘0.246, 0.36%
15      67.7450
↗0.030, 0.04%
16      68.0790
↘0.334, 0.49%
17      67.9900
↗0.089, 0.13%
18      68.1804
↘0.190, 0.28%
19      68.1804
→0.000, 0.00%
20      68.1804
↗0.000, 0.00%
21      68.2340
↘0.054, 0.08%
22      68.4620
↘0.228, 0.33%
23      68.7850
↘0.323, 0.47%
24      68.8050
↘0.020, 0.03%
25      68.4600
↗0.345, 0.50%
26      68.4900
↘0.030, 0.04%
27      68.5130
↘0.023, 0.03%
28      68.5640
↘0.051, 0.07%
29      68.6000
↘0.036, 0.05%
30      68.5570
↗0.043, 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(“2016-11-01”),66.720,66.72],[new Date(“2016-11-02”),66.710,66.71],[new Date(“2016-11-03”),66.683,66.68],[new Date(“2016-11-04”),66.780,66.78],[new Date(“2016-11-05”),66.780,66.78],[new Date(“2016-11-06”),66.760,66.76],[new Date(“2016-11-07”),66.730,66.73],[new Date(“2016-11-08”),66.260,66.26],[new Date(“2016-11-09”),66.504,66.50],[new Date(“2016-11-10”),67.070,67.07],[new Date(“2016-11-11”),67.529,67.53],[new Date(“2016-11-12”),67.529,67.53],[new Date(“2016-11-13”),67.529,67.53],[new Date(“2016-11-14”),67.775,67.78],[new Date(“2016-11-15”),67.745,67.75],[new Date(“2016-11-16”),68.079,68.08],[new Date(“2016-11-17”),67.990,67.99],[new Date(“2016-11-18”),68.180,68.18],[new Date(“2016-11-19”),68.180,68.18],[new Date(“2016-11-20”),68.180,68.18],[new Date(“2016-11-21”),68.234,68.23],[new Date(“2016-11-22”),68.462,68.46],[new Date(“2016-11-23”),68.785,68.79],[new Date(“2016-11-24”),68.805,68.81],[new Date(“2016-11-25”),68.460,68.46],[new Date(“2016-11-26”),68.490,68.49],[new Date(“2016-11-27”),68.513,68.51],[new Date(“2016-11-28”),68.564,68.56],[new Date(“2016-11-29”),68.600,68.60],[new Date(“2016-11-30″),68.557,68.56],]);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      66.6190
02      66.6190
→0.000, 0.00%
03      66.5090
↗0.110, 0.17%
04      66.4820
↗0.027, 0.04%
05      66.5131
↘0.031, 0.05%
06      66.7750
↘0.262, 0.39%
07      66.6260
↗0.149, 0.22%
08      66.6260
→0.000, 0.00%
09      66.6260
→0.000, 0.00%
10      66.5110
↗0.115, 0.17%
11      66.7800
↘0.269, 0.40%
12      66.8480
↘0.068, 0.10%
13      66.7800
↗0.068, 0.10%
14      66.7000
↗0.080, 0.12%
15      66.7000
→0.000, 0.00%
16      66.7000
→0.000, 0.00%
17      66.7890
↘0.089, 0.13%
18      66.7190
↗0.070, 0.10%
19      66.6490
↗0.070, 0.10%
20      66.8310
↘0.182, 0.27%
21      66.9450
↘0.114, 0.17%
22      66.9450
→0.000, 0.00%
23      66.9450
↗0.000, 0.00%
24      66.8780
↗0.067, 0.10%
25      66.7950
↗0.083, 0.12%
26      66.8460
↘0.051, 0.08%
27      66.8450
↗0.001, 0.00%
28      66.7960
↗0.049, 0.07%
29      66.7960
→0.000, 0.00%
30      66.7870
↗0.009, 0.01%
31      66.7000
↗0.087, 0.13%
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”),66.619,66.62],[new Date(“2016-10-02”),66.619,66.62],[new Date(“2016-10-03”),66.509,66.51],[new Date(“2016-10-04”),66.482,66.48],[new Date(“2016-10-05”),66.513,66.51],[new Date(“2016-10-06”),66.775,66.78],[new Date(“2016-10-07”),66.626,66.63],[new Date(“2016-10-08”),66.626,66.63],[new Date(“2016-10-09”),66.626,66.63],[new Date(“2016-10-10”),66.511,66.51],[new Date(“2016-10-11”),66.780,66.78],[new Date(“2016-10-12”),66.848,66.85],[new Date(“2016-10-13”),66.780,66.78],[new Date(“2016-10-14”),66.700,66.70],[new Date(“2016-10-15”),66.700,66.70],[new Date(“2016-10-16”),66.700,66.70],[new Date(“2016-10-17”),66.789,66.79],[new Date(“2016-10-18”),66.719,66.72],[new Date(“2016-10-19”),66.649,66.65],[new Date(“2016-10-20”),66.831,66.83],[new Date(“2016-10-21”),66.945,66.95],[new Date(“2016-10-22”),66.945,66.95],[new Date(“2016-10-23”),66.945,66.94],[new Date(“2016-10-24”),66.878,66.88],[new Date(“2016-10-25”),66.795,66.79],[new Date(“2016-10-26”),66.846,66.85],[new Date(“2016-10-27”),66.845,66.85],[new Date(“2016-10-28”),66.796,66.80],[new Date(“2016-10-29”),66.796,66.80],[new Date(“2016-10-30”),66.787,66.79],[new Date(“2016-10-31″),66.700,66.70],]);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      66.8180
02      66.7900
↗0.028, 0.04%
03      66.7900
→0.000, 0.00%
04      66.7060
↗0.084, 0.13%
05      66.4850
↗0.221, 0.33%
06      66.2600
↗0.225, 0.34%
07      66.4030
↘0.143, 0.22%
08      66.5240
↘0.121, 0.18%
09      66.7600
↘0.236, 0.35%
10      66.7600
→0.000, 0.00%
11      66.7600
→0.000, 0.00%
12      66.7230
↗0.037, 0.06%
13      67.1050
↘0.382, 0.57%
14      66.7810
↗0.324, 0.48%
15      66.8800
↘0.099, 0.15%
16      67.0910
↘0.211, 0.32%
17      67.0910
→0.000, 0.00%
18      67.0920
↘0.001, 0.00%
19      66.9370
↗0.155, 0.23%
20      66.9760
↘0.039, 0.06%
21      66.9820
↘0.006, 0.01%
22      66.5960
↗0.386, 0.58%
23      66.6590
↘0.063, 0.09%
24      66.6590
→0.000, 0.00%
25      66.6580
↗0.001, 0.00%
26      66.5640
↗0.094, 0.14%
27      66.4960
↗0.068, 0.10%
28      66.3520
↗0.144, 0.22%
29      66.7570
↘0.405, 0.61%
30      66.6190
↗0.138, 0.21%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-09-01”),66.818,66.82],[new Date(“2016-09-02”),66.790,66.79],[new Date(“2016-09-03”),66.790,66.79],[new Date(“2016-09-04”),66.706,66.71],[new Date(“2016-09-05”),66.485,66.49],[new Date(“2016-09-06”),66.260,66.26],[new Date(“2016-09-07”),66.403,66.40],[new Date(“2016-09-08”),66.524,66.52],[new Date(“2016-09-09”),66.760,66.76],[new Date(“2016-09-10”),66.760,66.76],[new Date(“2016-09-11”),66.760,66.76],[new Date(“2016-09-12”),66.723,66.72],[new Date(“2016-09-13”),67.105,67.11],[new Date(“2016-09-14”),66.781,66.78],[new Date(“2016-09-15”),66.880,66.88],[new Date(“2016-09-16”),67.091,67.09],[new Date(“2016-09-17”),67.091,67.09],[new Date(“2016-09-18”),67.092,67.09],[new Date(“2016-09-19”),66.937,66.94],[new Date(“2016-09-20”),66.976,66.98],[new Date(“2016-09-21”),66.982,66.98],[new Date(“2016-09-22”),66.596,66.60],[new Date(“2016-09-23”),66.659,66.66],[new Date(“2016-09-24”),66.659,66.66],[new Date(“2016-09-25”),66.658,66.66],[new Date(“2016-09-26”),66.564,66.56],[new Date(“2016-09-27”),66.496,66.50],[new Date(“2016-09-28”),66.352,66.35],[new Date(“2016-09-29”),66.757,66.76],[new Date(“2016-09-30″),66.619,66.62],]);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      66.7020
02      66.7060
↘0.004, 0.01%
03      66.8450
↘0.139, 0.21%
04      66.7560
↗0.089, 0.13%
05      66.8290
↘0.073, 0.11%
06      66.8290
→0.000, 0.00%
07      66.8290
→0.000, 0.00%
08      66.8190
↗0.010, 0.01%
09      66.7580
↗0.061, 0.09%
10      66.7400
↗0.018, 0.03%
11      66.7590
↘0.019, 0.03%
12      66.8960
↘0.137, 0.21%
13      66.8960
→0.000, 0.00%
14      66.8960
→0.000, 0.00%
15      66.8570
↗0.039, 0.06%
16      66.8320
↗0.025, 0.04%
17      66.9030
↘0.071, 0.11%
18      66.8650
↗0.038, 0.06%
19      67.1100
↘0.245, 0.37%
20      67.0960
↗0.014, 0.02%
21      67.0960
→0.000, 0.00%
22      67.1860
↘0.090, 0.13%
23      67.0930
↗0.093, 0.14%
24      67.1150
↘0.022, 0.03%
25      67.0090
↗0.106, 0.16%
26      67.1270
↘0.118, 0.18%
27      67.1270
→0.000, 0.00%
28      67.1270
→0.000, 0.00%
29      67.1620
↘0.035, 0.05%
30      67.1350
↗0.027, 0.04%
31      66.9301
↗0.205, 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(“2016-08-01”),66.702,66.70],[new Date(“2016-08-02”),66.706,66.71],[new Date(“2016-08-03”),66.845,66.85],[new Date(“2016-08-04”),66.756,66.76],[new Date(“2016-08-05”),66.829,66.83],[new Date(“2016-08-06”),66.829,66.83],[new Date(“2016-08-07”),66.829,66.83],[new Date(“2016-08-08”),66.819,66.82],[new Date(“2016-08-09”),66.758,66.76],[new Date(“2016-08-10”),66.740,66.74],[new Date(“2016-08-11”),66.759,66.76],[new Date(“2016-08-12”),66.896,66.90],[new Date(“2016-08-13”),66.896,66.90],[new Date(“2016-08-14”),66.896,66.90],[new Date(“2016-08-15”),66.857,66.86],[new Date(“2016-08-16”),66.832,66.83],[new Date(“2016-08-17”),66.903,66.90],[new Date(“2016-08-18”),66.865,66.86],[new Date(“2016-08-19”),67.110,67.11],[new Date(“2016-08-20”),67.096,67.10],[new Date(“2016-08-21”),67.096,67.10],[new Date(“2016-08-22”),67.186,67.19],[new Date(“2016-08-23”),67.093,67.09],[new Date(“2016-08-24”),67.115,67.11],[new Date(“2016-08-25”),67.009,67.01],[new Date(“2016-08-26”),67.127,67.13],[new Date(“2016-08-27”),67.127,67.13],[new Date(“2016-08-28”),67.127,67.13],[new Date(“2016-08-29”),67.162,67.16],[new Date(“2016-08-30”),67.135,67.14],[new Date(“2016-08-31″),66.930,66.93],]);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      67.2763
02      67.2465
↗0.030, 0.04%
03      67.2167
↗0.030, 0.04%
04      67.2402
↘0.024, 0.04%
05      67.3842
↘0.144, 0.21%
06      67.4243
↘0.040, 0.06%
07      67.4818
↘0.057, 0.09%
08      67.2462
↗0.236, 0.35%
09      67.2245
↗0.022, 0.03%
10      67.1840
↗0.041, 0.06%
11      67.1374
↗0.047, 0.07%
12      67.0717
↗0.066, 0.10%
13      67.0218
↗0.050, 0.07%
14      66.8913
↗0.130, 0.19%
15      67.0670
↘0.176, 0.26%
16      67.0670
→0.000, 0.00%
17      67.0670
→0.000, 0.00%
18      67.1400
↘0.073, 0.11%
19      67.1730
↘0.033, 0.05%
20      67.1820
↘0.009, 0.01%
21      67.1640
↗0.018, 0.03%
22      67.1890
↘0.025, 0.04%
23      67.1890
→0.000, 0.00%
24      67.1890
→0.000, 0.00%
25      67.4000
↘0.211, 0.31%
26      67.3600
↗0.040, 0.06%
27      67.1350
↗0.225, 0.33%
28      67.0050
↗0.130, 0.19%
29      66.7490
↗0.256, 0.38%
30      66.7490
→0.000, 0.00%
31      66.7503
↘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”),67.276,67.28],[new Date(“2016-07-02”),67.247,67.25],[new Date(“2016-07-03”),67.217,67.22],[new Date(“2016-07-04”),67.240,67.24],[new Date(“2016-07-05”),67.384,67.38],[new Date(“2016-07-06”),67.424,67.42],[new Date(“2016-07-07”),67.482,67.48],[new Date(“2016-07-08”),67.246,67.25],[new Date(“2016-07-09”),67.225,67.22],[new Date(“2016-07-10”),67.184,67.18],[new Date(“2016-07-11”),67.137,67.14],[new Date(“2016-07-12”),67.072,67.07],[new Date(“2016-07-13”),67.022,67.02],[new Date(“2016-07-14”),66.891,66.89],[new Date(“2016-07-15”),67.067,67.07],[new Date(“2016-07-16”),67.067,67.07],[new Date(“2016-07-17”),67.067,67.07],[new Date(“2016-07-18”),67.140,67.14],[new Date(“2016-07-19”),67.173,67.17],[new Date(“2016-07-20”),67.182,67.18],[new Date(“2016-07-21”),67.164,67.16],[new Date(“2016-07-22”),67.189,67.19],[new Date(“2016-07-23”),67.189,67.19],[new Date(“2016-07-24”),67.189,67.19],[new Date(“2016-07-25”),67.400,67.40],[new Date(“2016-07-26”),67.360,67.36],[new Date(“2016-07-27”),67.135,67.14],[new Date(“2016-07-28”),67.005,67.00],[new Date(“2016-07-29”),66.749,66.75],[new Date(“2016-07-30”),66.749,66.75],[new Date(“2016-07-31″),66.750,66.75],]);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      67.3937
02      67.3022
↗0.091, 0.14%
03      66.9900
↗0.312, 0.46%
04      66.9468
↗0.043, 0.06%
05      66.9353
↗0.011, 0.02%
06      66.8251
↗0.110, 0.16%
07      66.7485
↗0.077, 0.11%
08      66.5854
↗0.163, 0.24%
09      66.7118
↘0.126, 0.19%
10      66.8351
↘0.123, 0.18%
11      66.8779
↘0.043, 0.06%
12      66.9184
↘0.041, 0.06%
13      67.1232
↘0.205, 0.31%
14      67.2440
↘0.121, 0.18%
15      67.1282
↗0.116, 0.17%
16      67.2865
↘0.158, 0.24%
17      67.1180
↗0.168, 0.25%
18      67.1026
↗0.015, 0.02%
19      67.1289
↘0.026, 0.04%
20      67.3995
↘0.271, 0.40%
21      67.5656
↘0.166, 0.25%
22      67.4936
↗0.072, 0.11%
23      67.3662
↗0.127, 0.19%
24      67.8173
↘0.451, 0.67%
25      67.9169
↘0.100, 0.15%
26      67.9999
↘0.083, 0.12%
27      67.9539
↗0.046, 0.07%
28      67.8528
↗0.101, 0.15%
29      67.5952
↗0.258, 0.38%
30      67.5377
↗0.057, 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(“2016-06-01”),67.394,67.39],[new Date(“2016-06-02”),67.302,67.30],[new Date(“2016-06-03”),66.990,66.99],[new Date(“2016-06-04”),66.947,66.95],[new Date(“2016-06-05”),66.935,66.94],[new Date(“2016-06-06”),66.825,66.83],[new Date(“2016-06-07”),66.749,66.75],[new Date(“2016-06-08”),66.585,66.59],[new Date(“2016-06-09”),66.712,66.71],[new Date(“2016-06-10”),66.835,66.84],[new Date(“2016-06-11”),66.878,66.88],[new Date(“2016-06-12”),66.918,66.92],[new Date(“2016-06-13”),67.123,67.12],[new Date(“2016-06-14”),67.244,67.24],[new Date(“2016-06-15”),67.128,67.13],[new Date(“2016-06-16”),67.286,67.29],[new Date(“2016-06-17”),67.118,67.12],[new Date(“2016-06-18”),67.103,67.10],[new Date(“2016-06-19”),67.129,67.13],[new Date(“2016-06-20”),67.399,67.40],[new Date(“2016-06-21”),67.566,67.57],[new Date(“2016-06-22”),67.494,67.49],[new Date(“2016-06-23”),67.366,67.37],[new Date(“2016-06-24”),67.817,67.82],[new Date(“2016-06-25”),67.917,67.92],[new Date(“2016-06-26”),68.000,68.00],[new Date(“2016-06-27”),67.954,67.95],[new Date(“2016-06-28”),67.853,67.85],[new Date(“2016-06-29”),67.595,67.60],[new Date(“2016-06-30″),67.538,67.54],]);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_6’));
chart.draw(data, options);
}

May, 2016

01      66.4145
02      66.4002
↗0.014, 0.02%
03      66.5239
↘0.124, 0.19%
04      66.5770
↘0.053, 0.08%
05      66.5876
↘0.011, 0.02%
06      66.5958
↘0.008, 0.01%
07      66.5965
↘0.001, 0.00%
08      66.6128
↘0.016, 0.02%
09      66.7044
↘0.092, 0.14%
10      66.6403
↗0.064, 0.10%
11      66.5982
↗0.042, 0.06%
12      66.7172
↘0.119, 0.18%
13      66.8893
↘0.172, 0.26%
14      66.9263
↘0.037, 0.06%
15      66.9409
↘0.015, 0.02%
16      66.9017
↗0.039, 0.06%
17      66.9119
↘0.010, 0.02%
18      67.0573
↘0.145, 0.22%
19      67.2540
↘0.197, 0.29%
20      67.4196
↘0.166, 0.25%
21      67.4387
↘0.019, 0.03%
22      67.4378
↗0.001, 0.00%
23      67.4394
↘0.002, 0.00%
24      67.6193
↘0.180, 0.27%
25      67.3719
↗0.247, 0.37%
26      67.0933
↗0.279, 0.41%
27      67.0606
↗0.033, 0.05%
28      67.0340
↗0.027, 0.04%
29      67.0445
↘0.010, 0.02%
30      67.1459
↘0.101, 0.15%
31      67.2133
↘0.067, 0.10%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),66.414,66.41],[new Date(“2016-05-02”),66.400,66.40],[new Date(“2016-05-03”),66.524,66.52],[new Date(“2016-05-04”),66.577,66.58],[new Date(“2016-05-05”),66.588,66.59],[new Date(“2016-05-06”),66.596,66.60],[new Date(“2016-05-07”),66.597,66.60],[new Date(“2016-05-08”),66.613,66.61],[new Date(“2016-05-09”),66.704,66.70],[new Date(“2016-05-10”),66.640,66.64],[new Date(“2016-05-11”),66.598,66.60],[new Date(“2016-05-12”),66.717,66.72],[new Date(“2016-05-13”),66.889,66.89],[new Date(“2016-05-14”),66.926,66.93],[new Date(“2016-05-15”),66.941,66.94],[new Date(“2016-05-16”),66.902,66.90],[new Date(“2016-05-17”),66.912,66.91],[new Date(“2016-05-18”),67.057,67.06],[new Date(“2016-05-19”),67.254,67.25],[new Date(“2016-05-20”),67.420,67.42],[new Date(“2016-05-21”),67.439,67.44],[new Date(“2016-05-22”),67.438,67.44],[new Date(“2016-05-23”),67.439,67.44],[new Date(“2016-05-24”),67.619,67.62],[new Date(“2016-05-25”),67.372,67.37],[new Date(“2016-05-26”),67.093,67.09],[new Date(“2016-05-27”),67.061,67.06],[new Date(“2016-05-28”),67.034,67.03],[new Date(“2016-05-29”),67.044,67.04],[new Date(“2016-05-30”),67.146,67.15],[new Date(“2016-05-31″),67.213,67.21],]);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      66.2182
02      66.2383
↘0.020, 0.03%
03      66.2517
↘0.013, 0.02%
04      66.1422
↗0.110, 0.17%
05      66.3772
↘0.235, 0.36%
06      66.4963
↘0.119, 0.18%
07      66.6518
↘0.155, 0.23%
08      66.5541
↗0.098, 0.15%
09      66.5670
↘0.013, 0.02%
10      66.5550
↗0.012, 0.02%
11      66.3824
↗0.173, 0.26%
12      66.3506
↗0.032, 0.05%
13      66.5023
↘0.152, 0.23%
14      66.5815
↘0.079, 0.12%
15      66.6329
↘0.051, 0.08%
16      66.6276
↗0.005, 0.01%
17      66.6280
↘0.000, 0.00%
18      66.4813
↗0.147, 0.22%
19      66.3189
↗0.162, 0.24%
20      66.2147
↗0.104, 0.16%
21      66.4197
↘0.205, 0.31%
22      66.5619
↘0.142, 0.21%
23      66.6137
↘0.052, 0.08%
24      66.6377
↘0.024, 0.04%
25      66.6791
↘0.041, 0.06%
26      66.5262
↗0.153, 0.23%
27      66.4307
↗0.095, 0.14%
28      66.4701
↘0.039, 0.06%
29      66.3987
↗0.071, 0.11%
30      66.4082
↘0.009, 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(“2016-04-01”),66.218,66.22],[new Date(“2016-04-02”),66.238,66.24],[new Date(“2016-04-03”),66.252,66.25],[new Date(“2016-04-04”),66.142,66.14],[new Date(“2016-04-05”),66.377,66.38],[new Date(“2016-04-06”),66.496,66.50],[new Date(“2016-04-07”),66.652,66.65],[new Date(“2016-04-08”),66.554,66.55],[new Date(“2016-04-09”),66.567,66.57],[new Date(“2016-04-10”),66.555,66.56],[new Date(“2016-04-11”),66.382,66.38],[new Date(“2016-04-12”),66.351,66.35],[new Date(“2016-04-13”),66.502,66.50],[new Date(“2016-04-14”),66.582,66.58],[new Date(“2016-04-15”),66.633,66.63],[new Date(“2016-04-16”),66.628,66.63],[new Date(“2016-04-17”),66.628,66.63],[new Date(“2016-04-18”),66.481,66.48],[new Date(“2016-04-19”),66.319,66.32],[new Date(“2016-04-20”),66.215,66.21],[new Date(“2016-04-21”),66.420,66.42],[new Date(“2016-04-22”),66.562,66.56],[new Date(“2016-04-23”),66.614,66.61],[new Date(“2016-04-24”),66.638,66.64],[new Date(“2016-04-25”),66.679,66.68],[new Date(“2016-04-26”),66.526,66.53],[new Date(“2016-04-27”),66.431,66.43],[new Date(“2016-04-28”),66.470,66.47],[new Date(“2016-04-29”),66.399,66.40],[new Date(“2016-04-30″),66.408,66.41],]);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_4’));
chart.draw(data, options);
}

March, 2016

01      67.8608
02      67.4835
↗0.377, 0.56%
03      67.2529
↗0.231, 0.34%
04      67.0683
↗0.185, 0.27%
05      67.0393
↗0.029, 0.04%
06      67.0135
↗0.026, 0.04%
07      67.0254
↘0.012, 0.02%
08      67.2869
↘0.262, 0.39%
09      67.1857
↗0.101, 0.15%
10      67.2409
↘0.055, 0.08%
11      67.0197
↗0.221, 0.33%
12      67.0178
↗0.002, 0.00%
13      66.9568
↗0.061, 0.09%
14      67.0913
↘0.135, 0.20%
15      67.3209
↘0.230, 0.34%
16      67.0847
↗0.236, 0.35%
17      66.6856
↗0.399, 0.59%
18      66.4682
↗0.217, 0.33%
19      66.4267
↗0.041, 0.06%
20      66.4285
↘0.002, 0.00%
21      66.4929
↘0.064, 0.10%
22      66.7056
↘0.213, 0.32%
23      66.8097
↘0.104, 0.16%
24      66.8466
↘0.037, 0.06%
25      66.8152
↗0.031, 0.05%
26      66.8163
↘0.001, 0.00%
27      66.8241
↘0.008, 0.01%
28      66.7848
↗0.039, 0.06%
29      66.4623
↗0.322, 0.48%
30      66.4173
↗0.045, 0.07%
31      66.2499
↗0.167, 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(“2016-03-01”),67.861,67.86],[new Date(“2016-03-02”),67.484,67.48],[new Date(“2016-03-03”),67.253,67.25],[new Date(“2016-03-04”),67.068,67.07],[new Date(“2016-03-05”),67.039,67.04],[new Date(“2016-03-06”),67.013,67.01],[new Date(“2016-03-07”),67.025,67.03],[new Date(“2016-03-08”),67.287,67.29],[new Date(“2016-03-09”),67.186,67.19],[new Date(“2016-03-10”),67.241,67.24],[new Date(“2016-03-11”),67.020,67.02],[new Date(“2016-03-12”),67.018,67.02],[new Date(“2016-03-13”),66.957,66.96],[new Date(“2016-03-14”),67.091,67.09],[new Date(“2016-03-15”),67.321,67.32],[new Date(“2016-03-16”),67.085,67.08],[new Date(“2016-03-17”),66.686,66.69],[new Date(“2016-03-18”),66.468,66.47],[new Date(“2016-03-19”),66.427,66.43],[new Date(“2016-03-20”),66.429,66.43],[new Date(“2016-03-21”),66.493,66.49],[new Date(“2016-03-22”),66.706,66.71],[new Date(“2016-03-23”),66.810,66.81],[new Date(“2016-03-24”),66.847,66.85],[new Date(“2016-03-25”),66.815,66.82],[new Date(“2016-03-26”),66.816,66.82],[new Date(“2016-03-27”),66.824,66.82],[new Date(“2016-03-28”),66.785,66.78],[new Date(“2016-03-29”),66.462,66.46],[new Date(“2016-03-30”),66.417,66.42],[new Date(“2016-03-31″),66.250,66.25],]);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      67.8392
02      67.9444
↘0.105, 0.16%
03      67.9067
↗0.038, 0.06%
04      67.6402
↗0.267, 0.39%
05      67.7830
↘0.143, 0.21%
06      67.7797
↗0.003, 0.00%
07      67.7981
↘0.018, 0.03%
08      67.9687
↘0.171, 0.25%
09      67.8937
↗0.075, 0.11%
10      67.8914
↗0.002, 0.00%
11      68.3002
↘0.409, 0.60%
12      68.1508
↗0.149, 0.22%
13      68.1820
↘0.031, 0.05%
14      68.1512
↗0.031, 0.05%
15      68.1004
↗0.051, 0.07%
16      68.3848
↘0.284, 0.42%
17      68.3532
↗0.032, 0.05%
18      68.5091
↘0.156, 0.23%
19      68.6197
↘0.111, 0.16%
20      68.6694
↘0.050, 0.07%
21      68.6477
↗0.022, 0.03%
22      68.6017
↗0.046, 0.07%
23      68.5861
↗0.016, 0.02%
24      68.4810
↗0.105, 0.15%
25      68.7121
↘0.231, 0.34%
26      68.7372
↘0.025, 0.04%
27      68.7565
↘0.019, 0.03%
28      68.7479
↗0.009, 0.01%
29      68.3404
↗0.408, 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(“2016-02-01”),67.839,67.84],[new Date(“2016-02-02”),67.944,67.94],[new Date(“2016-02-03”),67.907,67.91],[new Date(“2016-02-04”),67.640,67.64],[new Date(“2016-02-05”),67.783,67.78],[new Date(“2016-02-06”),67.780,67.78],[new Date(“2016-02-07”),67.798,67.80],[new Date(“2016-02-08”),67.969,67.97],[new Date(“2016-02-09”),67.894,67.89],[new Date(“2016-02-10”),67.891,67.89],[new Date(“2016-02-11”),68.300,68.30],[new Date(“2016-02-12”),68.151,68.15],[new Date(“2016-02-13”),68.182,68.18],[new Date(“2016-02-14”),68.151,68.15],[new Date(“2016-02-15”),68.100,68.10],[new Date(“2016-02-16”),68.385,68.38],[new Date(“2016-02-17”),68.353,68.35],[new Date(“2016-02-18”),68.509,68.51],[new Date(“2016-02-19”),68.620,68.62],[new Date(“2016-02-20”),68.669,68.67],[new Date(“2016-02-21”),68.648,68.65],[new Date(“2016-02-22”),68.602,68.60],[new Date(“2016-02-23”),68.586,68.59],[new Date(“2016-02-24”),68.481,68.48],[new Date(“2016-02-25”),68.712,68.71],[new Date(“2016-02-26”),68.737,68.74],[new Date(“2016-02-27”),68.757,68.76],[new Date(“2016-02-28”),68.748,68.75],[new Date(“2016-02-29″),68.340,68.34],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2016

01      66.2451
02      66.1955
↗0.050, 0.07%
03      66.1795
↗0.016, 0.02%
04      66.5071
↘0.328, 0.50%
05      66.5217
↘0.015, 0.02%
06      66.6838
↘0.162, 0.24%
07      66.8667
↘0.183, 0.27%
08      66.8095
↗0.057, 0.09%
09      66.8026
↗0.007, 0.01%
10      66.8252
↘0.023, 0.03%
11      66.7934
↗0.032, 0.05%
12      66.8731
↘0.080, 0.12%
13      66.8871
↘0.014, 0.02%
14      67.1747
↘0.288, 0.43%
15      67.6175
↘0.443, 0.66%
16      67.7027
↘0.085, 0.13%
17      67.7491
↘0.046, 0.07%
18      67.7319
↗0.017, 0.03%
19      67.7134
↗0.019, 0.03%
20      67.8975
↘0.184, 0.27%
21      67.8746
↗0.023, 0.03%
22      67.6623
↗0.212, 0.31%
23      67.5878
↗0.074, 0.11%
24      67.5645
↗0.023, 0.03%
25      67.7111
↘0.147, 0.22%
26      67.7036
↗0.007, 0.01%
27      68.0633
↘0.360, 0.53%
28      68.0723
↘0.009, 0.01%
29      67.9092
↗0.163, 0.24%
30      67.8716
↗0.038, 0.06%
31      67.8548
↗0.017, 0.02%
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”),66.245,66.25],[new Date(“2016-01-02”),66.196,66.20],[new Date(“2016-01-03”),66.180,66.18],[new Date(“2016-01-04”),66.507,66.51],[new Date(“2016-01-05”),66.522,66.52],[new Date(“2016-01-06”),66.684,66.68],[new Date(“2016-01-07”),66.867,66.87],[new Date(“2016-01-08”),66.809,66.81],[new Date(“2016-01-09”),66.803,66.80],[new Date(“2016-01-10”),66.825,66.83],[new Date(“2016-01-11”),66.793,66.79],[new Date(“2016-01-12”),66.873,66.87],[new Date(“2016-01-13”),66.887,66.89],[new Date(“2016-01-14”),67.175,67.17],[new Date(“2016-01-15”),67.618,67.62],[new Date(“2016-01-16”),67.703,67.70],[new Date(“2016-01-17”),67.749,67.75],[new Date(“2016-01-18”),67.732,67.73],[new Date(“2016-01-19”),67.713,67.71],[new Date(“2016-01-20”),67.898,67.90],[new Date(“2016-01-21”),67.875,67.87],[new Date(“2016-01-22”),67.662,67.66],[new Date(“2016-01-23”),67.588,67.59],[new Date(“2016-01-24”),67.564,67.56],[new Date(“2016-01-25”),67.711,67.71],[new Date(“2016-01-26”),67.704,67.70],[new Date(“2016-01-27”),68.063,68.06],[new Date(“2016-01-28”),68.072,68.07],[new Date(“2016-01-29”),67.909,67.91],[new Date(“2016-01-30”),67.872,67.87],[new Date(“2016-01-31″),67.855,67.85],]);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);
}