Indian Rupee INR 2019 Conversion Rates

  • Opening Value is 69.740272 INR per Dollar
  • Closing Value is 71.300979 INR per Dollar
  • Change in Value during 2019 is 1.5607 which is 2.24%
  • Best Performance is on 2019-07-10 with 68.377603 INR per Dollar
  • Lowest Performance is on 2019-09-03 with 72.470279 INR per Dollar
  • Average Value is 70.4842 INR per Dollar
  • Swing Between the higest and the lowest is 4.0927 per Dollar, that is 5.87% compared to the opening value.

USD to INR Conversion Rates – 12 months

Date 1 USD =
2019-12-31 71.3010 INR
2019-11-30 71.7540 INR
2019-10-31 70.9801 INR
2019-09-30 70.9325 INR
2019-08-31 71.7399 INR
2019-07-31 69.4150 INR
2019-06-30 68.9505 INR
2019-05-31 69.5796 INR
2019-04-30 69.5660 INR
2019-03-31 69.4403 INR
2019-02-28 70.8260 INR
2019-01-31 71.2099 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(“2019-12-31”),71.301,71.30],[new Date(“2019-11-30”),71.754,71.75],[new Date(“2019-10-31”),70.980,70.98],[new Date(“2019-09-30”),70.932,70.93],[new Date(“2019-08-31”),71.740,71.74],[new Date(“2019-07-31”),69.415,69.42],[new Date(“2019-06-30”),68.951,68.95],[new Date(“2019-05-31”),69.580,69.58],[new Date(“2019-04-30”),69.566,69.57],[new Date(“2019-03-31”),69.440,69.44],[new Date(“2019-02-28”),70.826,70.83],[new Date(“2019-01-31”),71.210,71.21],]);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’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2019

01      71.7540
02      71.6350
↗0.119, 0.17%
03      71.9802
↘0.345, 0.48%
04      71.4901
↗0.490, 0.68%
05      71.3950
↗0.095, 0.13%
06      71.2970
↗0.098, 0.14%
07      71.2970
→0.000, 0.00%
08      71.2970
↗0.000, 0.00%
09      70.9702
↗0.327, 0.46%
10      71.0195
↘0.049, 0.07%
11      70.7393
↗0.280, 0.39%
12      70.5699
↗0.169, 0.24%
13      70.6895
↘0.120, 0.17%
14      70.6895
→0.000, 0.00%
15      70.6895
↗0.000, 0.00%
16      70.9148
↘0.225, 0.32%
17      71.2250
↘0.310, 0.44%
18      70.9999
↗0.225, 0.32%
19      71.2317
↘0.232, 0.33%
20      71.1280
↗0.104, 0.15%
21      71.1280
→0.000, 0.00%
22      71.1280
↗0.000, 0.00%
23      71.2207
↘0.093, 0.13%
24      71.4700
↘0.249, 0.35%
25      71.5502
↘0.080, 0.11%
26      71.3008
↗0.249, 0.35%
27      71.4275
↘0.127, 0.18%
28      71.4275
→0.000, 0.00%
29      71.4275
↗0.000, 0.00%
30      71.3220
↗0.106, 0.15%
31      71.3010
↗0.021, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-12-01”),71.754,71.75],[new Date(“2019-12-02”),71.635,71.63],[new Date(“2019-12-03”),71.980,71.98],[new Date(“2019-12-04”),71.490,71.49],[new Date(“2019-12-05”),71.395,71.39],[new Date(“2019-12-06”),71.297,71.30],[new Date(“2019-12-07”),71.297,71.30],[new Date(“2019-12-08”),71.297,71.30],[new Date(“2019-12-09”),70.970,70.97],[new Date(“2019-12-10”),71.020,71.02],[new Date(“2019-12-11”),70.739,70.74],[new Date(“2019-12-12”),70.570,70.57],[new Date(“2019-12-13”),70.690,70.69],[new Date(“2019-12-14”),70.690,70.69],[new Date(“2019-12-15”),70.690,70.69],[new Date(“2019-12-16”),70.915,70.91],[new Date(“2019-12-17”),71.225,71.23],[new Date(“2019-12-18”),71.000,71.00],[new Date(“2019-12-19”),71.232,71.23],[new Date(“2019-12-20”),71.128,71.13],[new Date(“2019-12-21”),71.128,71.13],[new Date(“2019-12-22”),71.128,71.13],[new Date(“2019-12-23”),71.221,71.22],[new Date(“2019-12-24”),71.470,71.47],[new Date(“2019-12-25”),71.550,71.55],[new Date(“2019-12-26”),71.301,71.30],[new Date(“2019-12-27”),71.428,71.43],[new Date(“2019-12-28”),71.428,71.43],[new Date(“2019-12-29”),71.427,71.43],[new Date(“2019-12-30”),71.322,71.32],[new Date(“2019-12-31″),71.301,71.30],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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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, 2019

01      70.7050
02      70.5221
↗0.183, 0.26%
03      70.5221
↗0.000, 0.00%
04      71.0250
↘0.503, 0.71%
05      70.9175
↗0.107, 0.15%
06      71.0105
↘0.093, 0.13%
07      71.5952
↘0.585, 0.82%
08      71.3770
↗0.218, 0.30%
09      71.3770
→0.000, 0.00%
10      71.3770
↗0.000, 0.00%
11      71.5735
↘0.197, 0.28%
12      71.7906
↘0.217, 0.30%
13      72.1515
↘0.361, 0.50%
14      71.9658
↗0.186, 0.26%
15      71.6350
↗0.331, 0.46%
16      71.6980
↘0.063, 0.09%
17      71.6980
↗0.000, 0.00%
18      71.9451
↘0.247, 0.34%
19      71.8610
↗0.084, 0.12%
20      71.7782
↗0.083, 0.12%
21      71.7505
↗0.028, 0.04%
22      71.7926
↘0.042, 0.06%
23      71.7926
→0.000, 0.00%
24      71.7926
↗0.000, 0.00%
25      71.6895
↗0.103, 0.14%
26      71.4384
↗0.251, 0.35%
27      71.2381
↗0.200, 0.28%
28      71.5574
↘0.319, 0.45%
29      71.7540
↘0.197, 0.27%
30      71.7540
→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(“2019-11-01”),70.705,70.71],[new Date(“2019-11-02”),70.522,70.52],[new Date(“2019-11-03”),70.522,70.52],[new Date(“2019-11-04”),71.025,71.02],[new Date(“2019-11-05”),70.918,70.92],[new Date(“2019-11-06”),71.010,71.01],[new Date(“2019-11-07”),71.595,71.60],[new Date(“2019-11-08”),71.377,71.38],[new Date(“2019-11-09”),71.377,71.38],[new Date(“2019-11-10”),71.377,71.38],[new Date(“2019-11-11”),71.573,71.57],[new Date(“2019-11-12”),71.791,71.79],[new Date(“2019-11-13”),72.152,72.15],[new Date(“2019-11-14”),71.966,71.97],[new Date(“2019-11-15”),71.635,71.64],[new Date(“2019-11-16”),71.698,71.70],[new Date(“2019-11-17”),71.698,71.70],[new Date(“2019-11-18”),71.945,71.95],[new Date(“2019-11-19”),71.861,71.86],[new Date(“2019-11-20”),71.778,71.78],[new Date(“2019-11-21”),71.750,71.75],[new Date(“2019-11-22”),71.793,71.79],[new Date(“2019-11-23”),71.793,71.79],[new Date(“2019-11-24”),71.793,71.79],[new Date(“2019-11-25”),71.689,71.69],[new Date(“2019-11-26”),71.438,71.44],[new Date(“2019-11-27”),71.238,71.24],[new Date(“2019-11-28”),71.557,71.56],[new Date(“2019-11-29”),71.754,71.75],[new Date(“2019-11-30″),71.754,71.75],]);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_11’));
chart.draw(data, options);
}

October, 2019

01      71.1100
02      71.1516
↘0.042, 0.06%
03      71.0297
↗0.122, 0.17%
04      70.8250
↗0.205, 0.29%
05      70.8255
↘0.000, 0.00%
06      70.8250
↗0.001, 0.00%
07      71.3875
↘0.563, 0.79%
08      71.2201
↗0.167, 0.23%
09      71.4198
↘0.200, 0.28%
10      70.9898
↗0.430, 0.60%
11      71.0504
↘0.061, 0.09%
12      71.0504
→0.000, 0.00%
13      70.9240
↗0.126, 0.18%
14      71.4625
↘0.538, 0.76%
15      71.7905
↘0.328, 0.46%
16      71.6301
↗0.160, 0.22%
17      71.4325
↗0.198, 0.28%
18      71.0905
↗0.342, 0.48%
19      71.0905
→0.000, 0.00%
20      71.0403
↗0.050, 0.07%
21      71.1150
↘0.075, 0.11%
22      71.0849
↗0.030, 0.04%
23      70.7250
↗0.360, 0.51%
24      71.2098
↘0.485, 0.69%
25      70.8404
↗0.369, 0.52%
26      70.8404
→0.000, 0.00%
27      70.8402
↗0.000, 0.00%
28      70.7450
↗0.095, 0.13%
29      70.8946
↘0.150, 0.21%
30      71.0425
↘0.148, 0.21%
31      70.9801
↗0.062, 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(“2019-10-01”),71.110,71.11],[new Date(“2019-10-02”),71.152,71.15],[new Date(“2019-10-03”),71.030,71.03],[new Date(“2019-10-04”),70.825,70.83],[new Date(“2019-10-05”),70.826,70.83],[new Date(“2019-10-06”),70.825,70.82],[new Date(“2019-10-07”),71.387,71.39],[new Date(“2019-10-08”),71.220,71.22],[new Date(“2019-10-09”),71.420,71.42],[new Date(“2019-10-10”),70.990,70.99],[new Date(“2019-10-11”),71.050,71.05],[new Date(“2019-10-12”),71.050,71.05],[new Date(“2019-10-13”),70.924,70.92],[new Date(“2019-10-14”),71.462,71.46],[new Date(“2019-10-15”),71.790,71.79],[new Date(“2019-10-16”),71.630,71.63],[new Date(“2019-10-17”),71.432,71.43],[new Date(“2019-10-18”),71.091,71.09],[new Date(“2019-10-19”),71.091,71.09],[new Date(“2019-10-20”),71.040,71.04],[new Date(“2019-10-21”),71.115,71.11],[new Date(“2019-10-22”),71.085,71.08],[new Date(“2019-10-23”),70.725,70.72],[new Date(“2019-10-24”),71.210,71.21],[new Date(“2019-10-25”),70.840,70.84],[new Date(“2019-10-26”),70.840,70.84],[new Date(“2019-10-27”),70.840,70.84],[new Date(“2019-10-28”),70.745,70.74],[new Date(“2019-10-29”),70.895,70.89],[new Date(“2019-10-30”),71.043,71.04],[new Date(“2019-10-31″),70.980,70.98],]);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_10’));
chart.draw(data, options);
}

September, 2019

01      71.7399
02      71.9721
↘0.232, 0.32%
03      72.4703
↘0.498, 0.69%
04      71.9657
↗0.505, 0.70%
05      72.2497
↘0.284, 0.39%
06      71.6804
↗0.569, 0.79%
07      71.6455
↗0.035, 0.05%
08      71.6800
↘0.034, 0.05%
09      72.1025
↘0.423, 0.59%
10      71.8690
↗0.234, 0.32%
11      71.5701
↗0.299, 0.42%
12      71.2950
↗0.275, 0.38%
13      71.0307
↗0.264, 0.37%
14      71.0307
→0.000, 0.00%
15      71.0307
↗0.000, 0.00%
16      71.7591
↘0.728, 1.03%
17      71.7203
↗0.039, 0.05%
18      71.5525
↗0.168, 0.23%
19      71.7275
↘0.175, 0.24%
20      71.1972
↗0.530, 0.74%
21      71.1972
→0.000, 0.00%
22      71.2016
↘0.004, 0.01%
23      70.7996
↗0.402, 0.56%
24      71.2950
↘0.495, 0.70%
25      71.3199
↘0.025, 0.03%
26      71.2550
↗0.065, 0.09%
27      70.6550
↗0.600, 0.84%
28      70.5085
↗0.147, 0.21%
29      70.5087
↘0.000, 0.00%
30      70.9325
↘0.424, 0.60%
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(“2019-09-01”),71.740,71.74],[new Date(“2019-09-02”),71.972,71.97],[new Date(“2019-09-03”),72.470,72.47],[new Date(“2019-09-04”),71.966,71.97],[new Date(“2019-09-05”),72.250,72.25],[new Date(“2019-09-06”),71.680,71.68],[new Date(“2019-09-07”),71.646,71.65],[new Date(“2019-09-08”),71.680,71.68],[new Date(“2019-09-09”),72.103,72.10],[new Date(“2019-09-10”),71.869,71.87],[new Date(“2019-09-11”),71.570,71.57],[new Date(“2019-09-12”),71.295,71.29],[new Date(“2019-09-13”),71.031,71.03],[new Date(“2019-09-14”),71.031,71.03],[new Date(“2019-09-15”),71.031,71.03],[new Date(“2019-09-16”),71.759,71.76],[new Date(“2019-09-17”),71.720,71.72],[new Date(“2019-09-18”),71.553,71.55],[new Date(“2019-09-19”),71.728,71.73],[new Date(“2019-09-20”),71.197,71.20],[new Date(“2019-09-21”),71.197,71.20],[new Date(“2019-09-22”),71.202,71.20],[new Date(“2019-09-23”),70.800,70.80],[new Date(“2019-09-24”),71.295,71.29],[new Date(“2019-09-25”),71.320,71.32],[new Date(“2019-09-26”),71.255,71.26],[new Date(“2019-09-27”),70.655,70.66],[new Date(“2019-09-28”),70.509,70.51],[new Date(“2019-09-29”),70.509,70.51],[new Date(“2019-09-30″),70.932,70.93],]);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_9’));
chart.draw(data, options);
}

August, 2019

01      69.3072
02      69.6669
↘0.360, 0.52%
03      69.6669
→0.000, 0.00%
04      69.6669
↗0.000, 0.00%
05      71.5301
↘1.863, 2.67%
06      71.2550
↗0.275, 0.38%
07      71.1751
↗0.080, 0.11%
08      70.4809
↗0.694, 0.98%
09      71.0421
↘0.561, 0.80%
10      71.0421
→0.000, 0.00%
11      71.0450
↘0.003, 0.00%
12      71.5905
↘0.546, 0.77%
13      71.1250
↗0.466, 0.65%
14      71.6452
↘0.520, 0.73%
15      71.7450
↘0.100, 0.14%
16      71.1420
↗0.603, 0.84%
17      71.1420
→0.000, 0.00%
18      71.1420
↗0.000, 0.00%
19      72.0050
↘0.863, 1.21%
20      71.8197
↗0.185, 0.26%
21      71.4478
↗0.372, 0.52%
22      71.9304
↘0.483, 0.68%
23      71.7971
↗0.133, 0.19%
24      71.5125
↗0.285, 0.40%
25      71.5125
↗0.000, 0.00%
26      72.1804
↘0.668, 0.93%
27      71.5450
↗0.635, 0.88%
28      72.1375
↘0.592, 0.83%
29      71.6902
↗0.447, 0.62%
30      71.7399
↘0.050, 0.07%
31      71.7399
→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(“2019-08-01”),69.307,69.31],[new Date(“2019-08-02”),69.667,69.67],[new Date(“2019-08-03”),69.667,69.67],[new Date(“2019-08-04”),69.667,69.67],[new Date(“2019-08-05”),71.530,71.53],[new Date(“2019-08-06”),71.255,71.25],[new Date(“2019-08-07”),71.175,71.18],[new Date(“2019-08-08”),70.481,70.48],[new Date(“2019-08-09”),71.042,71.04],[new Date(“2019-08-10”),71.042,71.04],[new Date(“2019-08-11”),71.045,71.04],[new Date(“2019-08-12”),71.591,71.59],[new Date(“2019-08-13”),71.125,71.12],[new Date(“2019-08-14”),71.645,71.65],[new Date(“2019-08-15”),71.745,71.75],[new Date(“2019-08-16”),71.142,71.14],[new Date(“2019-08-17”),71.142,71.14],[new Date(“2019-08-18”),71.142,71.14],[new Date(“2019-08-19”),72.005,72.01],[new Date(“2019-08-20”),71.820,71.82],[new Date(“2019-08-21”),71.448,71.45],[new Date(“2019-08-22”),71.930,71.93],[new Date(“2019-08-23”),71.797,71.80],[new Date(“2019-08-24”),71.513,71.51],[new Date(“2019-08-25”),71.513,71.51],[new Date(“2019-08-26”),72.180,72.18],[new Date(“2019-08-27”),71.545,71.55],[new Date(“2019-08-28”),72.138,72.14],[new Date(“2019-08-29”),71.690,71.69],[new Date(“2019-08-30”),71.740,71.74],[new Date(“2019-08-31″),71.740,71.74],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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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, 2019

01      69.1775
02      69.0925
↗0.085, 0.12%
03      69.0175
↗0.075, 0.11%
04      68.7903
↗0.227, 0.33%
05      68.4504
↗0.340, 0.49%
06      68.4504
→0.000, 0.00%
07      68.4501
↗0.000, 0.00%
08      68.8750
↘0.425, 0.62%
09      68.7750
↗0.100, 0.15%
10      68.3776
↗0.397, 0.58%
11      68.6925
↘0.315, 0.46%
12      68.5603
↗0.132, 0.19%
13      68.5603
→0.000, 0.00%
14      68.5603
↗0.000, 0.00%
15      68.7575
↘0.197, 0.29%
16      68.9049
↘0.147, 0.21%
17      68.7960
↗0.109, 0.16%
18      68.8600
↘0.064, 0.09%
19      68.9161
↘0.056, 0.08%
20      68.8605
↗0.056, 0.08%
21      68.8398
↗0.021, 0.03%
22      69.1798
↘0.340, 0.49%
23      69.0300
↗0.150, 0.22%
24      69.1950
↘0.165, 0.24%
25      69.1605
↗0.034, 0.05%
26      68.8604
↗0.300, 0.43%
27      68.8604
→0.000, 0.00%
28      68.8798
↘0.019, 0.03%
29      68.9601
↘0.080, 0.12%
30      69.0875
↘0.127, 0.18%
31      69.4150
↘0.328, 0.47%
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(“2019-07-01”),69.178,69.18],[new Date(“2019-07-02”),69.093,69.09],[new Date(“2019-07-03”),69.018,69.02],[new Date(“2019-07-04”),68.790,68.79],[new Date(“2019-07-05”),68.450,68.45],[new Date(“2019-07-06”),68.450,68.45],[new Date(“2019-07-07”),68.450,68.45],[new Date(“2019-07-08”),68.875,68.87],[new Date(“2019-07-09”),68.775,68.78],[new Date(“2019-07-10”),68.378,68.38],[new Date(“2019-07-11”),68.692,68.69],[new Date(“2019-07-12”),68.560,68.56],[new Date(“2019-07-13”),68.560,68.56],[new Date(“2019-07-14”),68.560,68.56],[new Date(“2019-07-15”),68.758,68.76],[new Date(“2019-07-16”),68.905,68.90],[new Date(“2019-07-17”),68.796,68.80],[new Date(“2019-07-18”),68.860,68.86],[new Date(“2019-07-19”),68.916,68.92],[new Date(“2019-07-20”),68.861,68.86],[new Date(“2019-07-21”),68.840,68.84],[new Date(“2019-07-22”),69.180,69.18],[new Date(“2019-07-23”),69.030,69.03],[new Date(“2019-07-24”),69.195,69.19],[new Date(“2019-07-25”),69.160,69.16],[new Date(“2019-07-26”),68.860,68.86],[new Date(“2019-07-27”),68.860,68.86],[new Date(“2019-07-28”),68.880,68.88],[new Date(“2019-07-29”),68.960,68.96],[new Date(“2019-07-30”),69.088,69.09],[new Date(“2019-07-31″),69.415,69.42],]);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, 2019

01      69.5796
02      69.5796
↗0.000, 0.00%
03      69.1719
↗0.408, 0.59%
04      69.5698
↘0.398, 0.58%
05      69.6375
↘0.068, 0.10%
06      69.3704
↗0.267, 0.38%
07      69.3904
↘0.020, 0.03%
08      69.3904
→0.000, 0.00%
09      69.3550
↗0.035, 0.05%
10      69.5335
↘0.178, 0.26%
11      69.3965
↗0.137, 0.20%
12      69.7100
↘0.313, 0.45%
13      69.8251
↘0.115, 0.17%
14      69.8804
↘0.055, 0.08%
15      69.8335
↗0.047, 0.07%
16      69.7805
↗0.053, 0.08%
17      70.1225
↘0.342, 0.49%
18      69.7750
↗0.347, 0.50%
19      69.9075
↘0.132, 0.19%
20      69.7975
↗0.110, 0.16%
21      69.5804
↗0.217, 0.31%
22      69.5804
→0.000, 0.00%
23      69.5799
↗0.000, 0.00%
24      69.6125
↘0.033, 0.05%
25      69.6475
↘0.035, 0.05%
26      69.6125
↗0.035, 0.05%
27      69.3350
↗0.278, 0.40%
28      68.9503
↗0.385, 0.55%
29      68.9503
→0.000, 0.00%
30      68.9505
↘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(“2019-06-01”),69.580,69.58],[new Date(“2019-06-02”),69.580,69.58],[new Date(“2019-06-03”),69.172,69.17],[new Date(“2019-06-04”),69.570,69.57],[new Date(“2019-06-05”),69.637,69.64],[new Date(“2019-06-06”),69.370,69.37],[new Date(“2019-06-07”),69.390,69.39],[new Date(“2019-06-08”),69.390,69.39],[new Date(“2019-06-09”),69.355,69.36],[new Date(“2019-06-10”),69.533,69.53],[new Date(“2019-06-11”),69.396,69.40],[new Date(“2019-06-12”),69.710,69.71],[new Date(“2019-06-13”),69.825,69.83],[new Date(“2019-06-14”),69.880,69.88],[new Date(“2019-06-15”),69.834,69.83],[new Date(“2019-06-16”),69.780,69.78],[new Date(“2019-06-17”),70.122,70.12],[new Date(“2019-06-18”),69.775,69.78],[new Date(“2019-06-19”),69.908,69.91],[new Date(“2019-06-20”),69.797,69.80],[new Date(“2019-06-21”),69.580,69.58],[new Date(“2019-06-22”),69.580,69.58],[new Date(“2019-06-23”),69.580,69.58],[new Date(“2019-06-24”),69.612,69.61],[new Date(“2019-06-25”),69.647,69.65],[new Date(“2019-06-26”),69.612,69.61],[new Date(“2019-06-27”),69.335,69.33],[new Date(“2019-06-28”),68.950,68.95],[new Date(“2019-06-29”),68.950,68.95],[new Date(“2019-06-30″),68.951,68.95],]);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, 2019

01      69.6429
02      69.4344
↗0.208, 0.30%
03      69.1780
↗0.256, 0.37%
04      69.1780
→0.000, 0.00%
05      69.1780
↗0.000, 0.00%
06      69.4103
↘0.232, 0.34%
07      69.9225
↘0.512, 0.74%
08      70.0350
↘0.112, 0.16%
09      70.4199
↘0.385, 0.55%
10      69.9325
↗0.487, 0.69%
11      69.9325
→0.000, 0.00%
12      69.9325
↗0.000, 0.00%
13      70.6245
↘0.692, 0.99%
14      70.3145
↗0.310, 0.44%
15      70.2192
↗0.095, 0.14%
16      70.2425
↘0.023, 0.03%
17      70.3480
↘0.106, 0.15%
18      70.3480
→0.000, 0.00%
19      70.2915
↗0.057, 0.08%
20      70.1375
↗0.154, 0.22%
21      69.9850
↗0.153, 0.22%
22      69.9825
↗0.002, 0.00%
23      69.9575
↗0.025, 0.04%
24      69.3704
↗0.587, 0.84%
25      69.3805
↘0.010, 0.01%
26      69.3698
↗0.011, 0.02%
27      69.7425
↘0.373, 0.54%
28      69.8875
↘0.145, 0.21%
29      69.8250
↗0.063, 0.09%
30      69.9900
↘0.165, 0.24%
31      69.5796
↗0.410, 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(“2019-05-01”),69.643,69.64],[new Date(“2019-05-02”),69.434,69.43],[new Date(“2019-05-03”),69.178,69.18],[new Date(“2019-05-04”),69.178,69.18],[new Date(“2019-05-05”),69.178,69.18],[new Date(“2019-05-06”),69.410,69.41],[new Date(“2019-05-07”),69.923,69.92],[new Date(“2019-05-08”),70.035,70.03],[new Date(“2019-05-09”),70.420,70.42],[new Date(“2019-05-10”),69.933,69.93],[new Date(“2019-05-11”),69.933,69.93],[new Date(“2019-05-12”),69.933,69.93],[new Date(“2019-05-13”),70.625,70.62],[new Date(“2019-05-14”),70.314,70.31],[new Date(“2019-05-15”),70.219,70.22],[new Date(“2019-05-16”),70.243,70.24],[new Date(“2019-05-17”),70.348,70.35],[new Date(“2019-05-18”),70.348,70.35],[new Date(“2019-05-19”),70.292,70.29],[new Date(“2019-05-20”),70.137,70.14],[new Date(“2019-05-21”),69.985,69.98],[new Date(“2019-05-22”),69.983,69.98],[new Date(“2019-05-23”),69.958,69.96],[new Date(“2019-05-24”),69.370,69.37],[new Date(“2019-05-25”),69.381,69.38],[new Date(“2019-05-26”),69.370,69.37],[new Date(“2019-05-27”),69.742,69.74],[new Date(“2019-05-28”),69.888,69.89],[new Date(“2019-05-29”),69.825,69.82],[new Date(“2019-05-30”),69.990,69.99],[new Date(“2019-05-31″),69.580,69.58],]);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, 2019

01      69.2053
02      68.9202
↗0.285, 0.41%
03      68.8650
↗0.055, 0.08%
04      68.9804
↘0.115, 0.17%
05      69.2310
↘0.251, 0.36%
06      69.2310
→0.000, 0.00%
07      69.1703
↗0.061, 0.09%
08      69.5625
↘0.392, 0.57%
09      69.2718
↗0.291, 0.42%
10      69.1502
↗0.122, 0.18%
11      69.4502
↘0.300, 0.43%
12      69.1615
↗0.289, 0.42%
13      69.1905
↘0.029, 0.04%
14      69.1710
↗0.020, 0.03%
15      69.8203
↘0.649, 0.94%
16      69.8950
↘0.075, 0.11%
17      69.4085
↗0.487, 0.70%
18      69.3910
↗0.018, 0.03%
19      69.3904
↗0.001, 0.00%
20      69.3904
→0.000, 0.00%
21      69.3699
↗0.020, 0.03%
22      70.0725
↘0.703, 1.01%
23      69.7680
↗0.305, 0.43%
24      70.1058
↘0.338, 0.48%
25      70.1701
↘0.064, 0.09%
26      69.8520
↗0.318, 0.45%
27      69.8505
↗0.002, 0.00%
28      69.8520
↘0.002, 0.00%
29      69.8218
↗0.030, 0.04%
30      69.5660
↗0.256, 0.37%
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(“2019-04-01”),69.205,69.21],[new Date(“2019-04-02”),68.920,68.92],[new Date(“2019-04-03”),68.865,68.86],[new Date(“2019-04-04”),68.980,68.98],[new Date(“2019-04-05”),69.231,69.23],[new Date(“2019-04-06”),69.231,69.23],[new Date(“2019-04-07”),69.170,69.17],[new Date(“2019-04-08”),69.562,69.56],[new Date(“2019-04-09”),69.272,69.27],[new Date(“2019-04-10”),69.150,69.15],[new Date(“2019-04-11”),69.450,69.45],[new Date(“2019-04-12”),69.162,69.16],[new Date(“2019-04-13”),69.191,69.19],[new Date(“2019-04-14”),69.171,69.17],[new Date(“2019-04-15”),69.820,69.82],[new Date(“2019-04-16”),69.895,69.90],[new Date(“2019-04-17”),69.409,69.41],[new Date(“2019-04-18”),69.391,69.39],[new Date(“2019-04-19”),69.390,69.39],[new Date(“2019-04-20”),69.390,69.39],[new Date(“2019-04-21”),69.370,69.37],[new Date(“2019-04-22”),70.072,70.07],[new Date(“2019-04-23”),69.768,69.77],[new Date(“2019-04-24”),70.106,70.11],[new Date(“2019-04-25”),70.170,70.17],[new Date(“2019-04-26”),69.852,69.85],[new Date(“2019-04-27”),69.851,69.85],[new Date(“2019-04-28”),69.852,69.85],[new Date(“2019-04-29”),69.822,69.82],[new Date(“2019-04-30″),69.566,69.57],]);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, 2019

01      70.9975
02      71.0004
↘0.003, 0.00%
03      70.9997
↗0.001, 0.00%
04      70.9098
↗0.090, 0.13%
05      70.7525
↗0.157, 0.22%
06      70.3750
↗0.378, 0.53%
07      70.4975
↘0.123, 0.17%
08      69.9969
↗0.501, 0.71%
09      69.9969
→0.000, 0.00%
10      69.9969
↗0.000, 0.00%
11      69.8001
↗0.197, 0.28%
12      69.8551
↘0.055, 0.08%
13      69.7363
↗0.119, 0.17%
14      69.3473
↗0.389, 0.56%
15      68.9630
↗0.384, 0.55%
16      68.9630
→0.000, 0.00%
17      68.9630
↗0.000, 0.00%
18      68.6255
↗0.338, 0.49%
19      69.3275
↘0.702, 1.02%
20      68.8350
↗0.492, 0.71%
21      68.9525
↘0.117, 0.17%
22      69.1704
↘0.218, 0.32%
23      69.1705
↘0.000, 0.00%
24      69.1705
↗0.000, 0.00%
25      68.9334
↗0.237, 0.34%
26      69.4375
↘0.504, 0.73%
27      69.3798
↗0.058, 0.08%
28      69.5150
↘0.135, 0.20%
29      69.4404
↗0.075, 0.11%
30      69.4404
→0.000, 0.00%
31      69.4403
↗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(“2019-03-01”),70.998,71.00],[new Date(“2019-03-02”),71.000,71.00],[new Date(“2019-03-03”),71.000,71.00],[new Date(“2019-03-04”),70.910,70.91],[new Date(“2019-03-05”),70.752,70.75],[new Date(“2019-03-06”),70.375,70.37],[new Date(“2019-03-07”),70.497,70.50],[new Date(“2019-03-08”),69.997,70.00],[new Date(“2019-03-09”),69.997,70.00],[new Date(“2019-03-10”),69.997,70.00],[new Date(“2019-03-11”),69.800,69.80],[new Date(“2019-03-12”),69.855,69.86],[new Date(“2019-03-13”),69.736,69.74],[new Date(“2019-03-14”),69.347,69.35],[new Date(“2019-03-15”),68.963,68.96],[new Date(“2019-03-16”),68.963,68.96],[new Date(“2019-03-17”),68.963,68.96],[new Date(“2019-03-18”),68.626,68.63],[new Date(“2019-03-19”),69.328,69.33],[new Date(“2019-03-20”),68.835,68.84],[new Date(“2019-03-21”),68.953,68.95],[new Date(“2019-03-22”),69.170,69.17],[new Date(“2019-03-23”),69.171,69.17],[new Date(“2019-03-24”),69.171,69.17],[new Date(“2019-03-25”),68.933,68.93],[new Date(“2019-03-26”),69.438,69.44],[new Date(“2019-03-27”),69.380,69.38],[new Date(“2019-03-28”),69.515,69.52],[new Date(“2019-03-29”),69.440,69.44],[new Date(“2019-03-30”),69.440,69.44],[new Date(“2019-03-31″),69.440,69.44],]);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_3’));
chart.draw(data, options);
}

February, 2019

01      71.4604
02      71.4604
→0.000, 0.00%
03      71.4617
↘0.001, 0.00%
04      71.6950
↘0.233, 0.33%
05      71.7798
↘0.085, 0.12%
06      71.5505
↗0.229, 0.32%
07      71.5903
↘0.040, 0.06%
08      71.1604
↗0.430, 0.60%
09      71.1755
↘0.015, 0.02%
10      71.1599
↗0.016, 0.02%
11      71.2350
↘0.075, 0.11%
12      70.8201
↗0.415, 0.58%
13      70.8751
↘0.055, 0.08%
14      71.0198
↘0.145, 0.20%
15      71.3350
↘0.315, 0.44%
16      71.3304
↗0.005, 0.01%
17      71.3301
↗0.000, 0.00%
18      71.7103
↘0.380, 0.53%
19      71.6095
↗0.101, 0.14%
20      71.3250
↗0.284, 0.40%
21      71.1950
↗0.130, 0.18%
22      71.0350
↗0.160, 0.22%
23      71.0355
↘0.000, 0.00%
24      71.0410
↘0.005, 0.01%
25      71.1014
↘0.060, 0.08%
26      70.9450
↗0.156, 0.22%
27      71.2086
↘0.264, 0.37%
28      70.8260
↗0.383, 0.54%
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(“2019-02-01”),71.460,71.46],[new Date(“2019-02-02”),71.460,71.46],[new Date(“2019-02-03”),71.462,71.46],[new Date(“2019-02-04”),71.695,71.70],[new Date(“2019-02-05”),71.780,71.78],[new Date(“2019-02-06”),71.551,71.55],[new Date(“2019-02-07”),71.590,71.59],[new Date(“2019-02-08”),71.160,71.16],[new Date(“2019-02-09”),71.176,71.18],[new Date(“2019-02-10”),71.160,71.16],[new Date(“2019-02-11”),71.235,71.23],[new Date(“2019-02-12”),70.820,70.82],[new Date(“2019-02-13”),70.875,70.88],[new Date(“2019-02-14”),71.020,71.02],[new Date(“2019-02-15”),71.335,71.34],[new Date(“2019-02-16”),71.330,71.33],[new Date(“2019-02-17”),71.330,71.33],[new Date(“2019-02-18”),71.710,71.71],[new Date(“2019-02-19”),71.610,71.61],[new Date(“2019-02-20”),71.325,71.33],[new Date(“2019-02-21”),71.195,71.20],[new Date(“2019-02-22”),71.035,71.04],[new Date(“2019-02-23”),71.036,71.04],[new Date(“2019-02-24”),71.041,71.04],[new Date(“2019-02-25”),71.101,71.10],[new Date(“2019-02-26”),70.945,70.94],[new Date(“2019-02-27”),71.209,71.21],[new Date(“2019-02-28″),70.826,70.83],]);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, 2019

01      69.7403
02      69.9899
↘0.250, 0.36%
03      70.3350
↘0.345, 0.49%
04      69.5250
↗0.810, 1.15%
05      69.5350
↘0.010, 0.01%
06      69.5350
↗0.000, 0.00%
07      69.8250
↘0.290, 0.42%
08      70.3503
↘0.525, 0.75%
09      70.5605
↘0.210, 0.30%
10      70.7305
↘0.170, 0.24%
11      70.3850
↗0.345, 0.49%
12      70.3804
↗0.005, 0.01%
13      70.3802
↗0.000, 0.00%
14      71.0950
↘0.715, 1.02%
15      71.1025
↘0.007, 0.01%
16      71.3750
↘0.273, 0.38%
17      71.0402
↗0.335, 0.47%
18      71.2550
↘0.215, 0.30%
19      71.2550
→0.000, 0.00%
20      71.2399
↗0.015, 0.02%
21      71.5099
↘0.270, 0.38%
22      71.2402
↗0.270, 0.38%
23      71.1673
↗0.073, 0.10%
24      71.0002
↗0.167, 0.23%
25      70.9850
↗0.015, 0.02%
26      70.9005
↗0.085, 0.12%
27      70.9850
↘0.084, 0.12%
28      71.1001
↘0.115, 0.16%
29      71.6350
↘0.535, 0.75%
30      71.1304
↗0.505, 0.70%
31      71.2099
↘0.080, 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(“2019-01-01”),69.740,69.74],[new Date(“2019-01-02”),69.990,69.99],[new Date(“2019-01-03”),70.335,70.34],[new Date(“2019-01-04”),69.525,69.53],[new Date(“2019-01-05”),69.535,69.54],[new Date(“2019-01-06”),69.535,69.54],[new Date(“2019-01-07”),69.825,69.83],[new Date(“2019-01-08”),70.350,70.35],[new Date(“2019-01-09”),70.561,70.56],[new Date(“2019-01-10”),70.730,70.73],[new Date(“2019-01-11”),70.385,70.39],[new Date(“2019-01-12”),70.380,70.38],[new Date(“2019-01-13”),70.380,70.38],[new Date(“2019-01-14”),71.095,71.10],[new Date(“2019-01-15”),71.102,71.10],[new Date(“2019-01-16”),71.375,71.38],[new Date(“2019-01-17”),71.040,71.04],[new Date(“2019-01-18”),71.255,71.26],[new Date(“2019-01-19”),71.255,71.26],[new Date(“2019-01-20”),71.240,71.24],[new Date(“2019-01-21”),71.510,71.51],[new Date(“2019-01-22”),71.240,71.24],[new Date(“2019-01-23”),71.167,71.17],[new Date(“2019-01-24”),71.000,71.00],[new Date(“2019-01-25”),70.985,70.99],[new Date(“2019-01-26”),70.901,70.90],[new Date(“2019-01-27”),70.985,70.99],[new Date(“2019-01-28”),71.100,71.10],[new Date(“2019-01-29”),71.635,71.64],[new Date(“2019-01-30”),71.130,71.13],[new Date(“2019-01-31″),71.210,71.21],]);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_1’));
chart.draw(data, options);
}