Israeli New Sheqel ILS 2016 Conversion Rates

  • Opening Value is 3.892241 ILS per Dollar
  • Closing Value is 3.848040 ILS per Dollar
  • Change in Value during 2016 is -0.0442 which is -1.14%
  • Best Performance is on 2016-05-01 with 3.738464 ILS per Dollar
  • Lowest Performance is on 2016-01-24 with 3.982606 ILS per Dollar
  • Average Value is 3.8377 ILS per Dollar
  • Swing Between the higest and the lowest is 0.2441 per Dollar, that is 6.27% compared to the opening value.

USD to ILS Conversion Rates – 12 months

Date 1 USD =
2016-12-31 3.8480 ILS
2016-11-30 3.8365 ILS
2016-10-31 3.8341 ILS
2016-09-30 3.7468 ILS
2016-08-31 3.7778 ILS
2016-07-31 3.8098 ILS
2016-06-30 3.8580 ILS
2016-05-31 3.8520 ILS
2016-04-30 3.7394 ILS
2016-03-31 3.7625 ILS
2016-02-29 3.9069 ILS
2016-01-31 3.9611 ILS
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”),3.848,3.85],[new Date(“2016-11-30”),3.837,3.84],[new Date(“2016-10-31”),3.834,3.83],[new Date(“2016-09-30”),3.747,3.75],[new Date(“2016-08-31”),3.778,3.78],[new Date(“2016-07-31”),3.810,3.81],[new Date(“2016-06-30”),3.858,3.86],[new Date(“2016-05-31”),3.852,3.85],[new Date(“2016-04-30”),3.739,3.74],[new Date(“2016-03-31”),3.763,3.76],[new Date(“2016-02-29”),3.907,3.91],[new Date(“2016-01-31”),3.961,3.96],]);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      3.8252
02      3.8163
↗0.009, 0.23%
03      3.8163
→0.000, 0.00%
04      3.8296
↘0.013, 0.35%
05      3.8035
↗0.026, 0.68%
06      3.8125
↘0.009, 0.24%
07      3.7940
↗0.018, 0.48%
08      3.8118
↘0.018, 0.47%
09      3.8235
↘0.012, 0.31%
10      3.8235
→0.000, 0.00%
11      3.8185
↗0.005, 0.13%
12      3.8040
↗0.015, 0.38%
13      3.7955
↗0.008, 0.22%
14      3.8240
↘0.029, 0.75%
15      3.8450
↘0.021, 0.55%
16      3.8695
↘0.024, 0.64%
17      3.8695
→0.000, 0.00%
18      3.8685
↗0.001, 0.03%
19      3.8567
↗0.012, 0.31%
20      3.8363
↗0.020, 0.53%
21      3.8180
↗0.018, 0.48%
22      3.8106
↗0.007, 0.19%
23      3.8142
↘0.004, 0.09%
24      3.8187
↘0.004, 0.12%
25      3.8205
↘0.002, 0.05%
26      3.8105
↗0.010, 0.26%
27      3.8348
↘0.024, 0.64%
28      3.8525
↘0.018, 0.46%
29      3.8310
↗0.022, 0.56%
30      3.8480
↘0.017, 0.45%
31      3.8480
→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”),3.825,3.83],[new Date(“2016-12-02”),3.816,3.82],[new Date(“2016-12-03”),3.816,3.82],[new Date(“2016-12-04”),3.830,3.83],[new Date(“2016-12-05”),3.804,3.80],[new Date(“2016-12-06”),3.812,3.81],[new Date(“2016-12-07”),3.794,3.79],[new Date(“2016-12-08”),3.812,3.81],[new Date(“2016-12-09”),3.824,3.82],[new Date(“2016-12-10”),3.824,3.82],[new Date(“2016-12-11”),3.819,3.82],[new Date(“2016-12-12”),3.804,3.80],[new Date(“2016-12-13”),3.796,3.80],[new Date(“2016-12-14”),3.824,3.82],[new Date(“2016-12-15”),3.845,3.85],[new Date(“2016-12-16”),3.870,3.87],[new Date(“2016-12-17”),3.870,3.87],[new Date(“2016-12-18”),3.869,3.87],[new Date(“2016-12-19”),3.857,3.86],[new Date(“2016-12-20”),3.836,3.84],[new Date(“2016-12-21”),3.818,3.82],[new Date(“2016-12-22”),3.811,3.81],[new Date(“2016-12-23”),3.814,3.81],[new Date(“2016-12-24”),3.819,3.82],[new Date(“2016-12-25”),3.820,3.82],[new Date(“2016-12-26”),3.811,3.81],[new Date(“2016-12-27”),3.835,3.83],[new Date(“2016-12-28”),3.852,3.85],[new Date(“2016-12-29”),3.831,3.83],[new Date(“2016-12-30”),3.848,3.85],[new Date(“2016-12-31″),3.848,3.85],]);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_12’));
chart.draw(data, options);
}

November, 2016

01      3.8052
02      3.8095
↘0.004, 0.11%
03      3.8097
↘0.000, 0.01%
04      3.7883
↗0.021, 0.56%
05      3.7883
→0.000, 0.00%
06      3.8024
↘0.014, 0.37%
07      3.8076
↘0.005, 0.14%
08      3.7976
↗0.010, 0.26%
09      3.8203
↘0.023, 0.60%
10      3.8402
↘0.020, 0.52%
11      3.8342
↗0.006, 0.16%
12      3.8342
→0.000, 0.00%
13      3.8320
↗0.002, 0.06%
14      3.8530
↘0.021, 0.55%
15      3.8379
↗0.015, 0.39%
16      3.8474
↘0.009, 0.25%
17      3.8643
↘0.017, 0.44%
18      3.8799
↘0.016, 0.40%
19      3.8799
→0.000, 0.00%
20      3.8775
↗0.002, 0.06%
21      3.8632
↗0.014, 0.37%
22      3.8660
↘0.003, 0.07%
23      3.8617
↗0.004, 0.11%
24      3.8648
↘0.003, 0.08%
25      3.8680
↘0.003, 0.08%
26      3.8680
→0.000, 0.00%
27      3.8641
↗0.004, 0.10%
28      3.8460
↗0.018, 0.47%
29      3.8344
↗0.012, 0.30%
30      3.8365
↘0.002, 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(“2016-11-01”),3.805,3.81],[new Date(“2016-11-02”),3.810,3.81],[new Date(“2016-11-03”),3.810,3.81],[new Date(“2016-11-04”),3.788,3.79],[new Date(“2016-11-05”),3.788,3.79],[new Date(“2016-11-06”),3.802,3.80],[new Date(“2016-11-07”),3.808,3.81],[new Date(“2016-11-08”),3.798,3.80],[new Date(“2016-11-09”),3.820,3.82],[new Date(“2016-11-10”),3.840,3.84],[new Date(“2016-11-11”),3.834,3.83],[new Date(“2016-11-12”),3.834,3.83],[new Date(“2016-11-13”),3.832,3.83],[new Date(“2016-11-14”),3.853,3.85],[new Date(“2016-11-15”),3.838,3.84],[new Date(“2016-11-16”),3.847,3.85],[new Date(“2016-11-17”),3.864,3.86],[new Date(“2016-11-18”),3.880,3.88],[new Date(“2016-11-19”),3.880,3.88],[new Date(“2016-11-20”),3.877,3.88],[new Date(“2016-11-21”),3.863,3.86],[new Date(“2016-11-22”),3.866,3.87],[new Date(“2016-11-23”),3.862,3.86],[new Date(“2016-11-24”),3.865,3.86],[new Date(“2016-11-25”),3.868,3.87],[new Date(“2016-11-26”),3.868,3.87],[new Date(“2016-11-27”),3.864,3.86],[new Date(“2016-11-28”),3.846,3.85],[new Date(“2016-11-29”),3.834,3.83],[new Date(“2016-11-30″),3.837,3.84],]);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      3.7468
02      3.7468
↗0.000, 0.00%
03      3.7610
↘0.014, 0.38%
04      3.7749
↘0.014, 0.37%
05      3.7687
↗0.006, 0.16%
06      3.7833
↘0.015, 0.39%
07      3.7985
↘0.015, 0.40%
08      3.7985
→0.000, 0.00%
09      3.7879
↗0.011, 0.28%
10      3.7870
↗0.001, 0.02%
11      3.8105
↘0.023, 0.62%
12      3.8199
↘0.009, 0.25%
13      3.8105
↗0.009, 0.25%
14      3.8145
↘0.004, 0.11%
15      3.8145
→0.000, 0.00%
16      3.8151
↘0.001, 0.02%
17      3.8236
↘0.008, 0.22%
18      3.8233
↗0.000, 0.01%
19      3.8283
↘0.005, 0.13%
20      3.8405
↘0.012, 0.32%
21      3.8625
↘0.022, 0.57%
22      3.8625
→0.000, 0.00%
23      3.8536
↗0.009, 0.23%
24      3.8610
↘0.007, 0.19%
25      3.8449
↗0.016, 0.42%
26      3.8440
↗0.001, 0.02%
27      3.8516
↘0.008, 0.20%
28      3.8464
↗0.005, 0.13%
29      3.8464
→0.000, 0.00%
30      3.8510
↘0.005, 0.12%
31      3.8341
↗0.017, 0.44%
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”),3.747,3.75],[new Date(“2016-10-02”),3.747,3.75],[new Date(“2016-10-03”),3.761,3.76],[new Date(“2016-10-04”),3.775,3.77],[new Date(“2016-10-05”),3.769,3.77],[new Date(“2016-10-06”),3.783,3.78],[new Date(“2016-10-07”),3.799,3.80],[new Date(“2016-10-08”),3.799,3.80],[new Date(“2016-10-09”),3.788,3.79],[new Date(“2016-10-10”),3.787,3.79],[new Date(“2016-10-11”),3.810,3.81],[new Date(“2016-10-12”),3.820,3.82],[new Date(“2016-10-13”),3.811,3.81],[new Date(“2016-10-14”),3.815,3.81],[new Date(“2016-10-15”),3.815,3.81],[new Date(“2016-10-16”),3.815,3.82],[new Date(“2016-10-17”),3.824,3.82],[new Date(“2016-10-18”),3.823,3.82],[new Date(“2016-10-19”),3.828,3.83],[new Date(“2016-10-20”),3.841,3.84],[new Date(“2016-10-21”),3.863,3.86],[new Date(“2016-10-22”),3.863,3.86],[new Date(“2016-10-23”),3.854,3.85],[new Date(“2016-10-24”),3.861,3.86],[new Date(“2016-10-25”),3.845,3.84],[new Date(“2016-10-26”),3.844,3.84],[new Date(“2016-10-27”),3.852,3.85],[new Date(“2016-10-28”),3.846,3.85],[new Date(“2016-10-29”),3.846,3.85],[new Date(“2016-10-30”),3.851,3.85],[new Date(“2016-10-31″),3.834,3.83],]);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_10’));
chart.draw(data, options);
}

September, 2016

01      3.7648
02      3.7578
↗0.007, 0.19%
03      3.7578
→0.000, 0.00%
04      3.7533
↗0.005, 0.12%
05      3.7624
↘0.009, 0.24%
06      3.7545
↗0.008, 0.21%
07      3.7565
↘0.002, 0.05%
08      3.7595
↘0.003, 0.08%
09      3.7588
↗0.001, 0.02%
10      3.7588
→0.000, 0.00%
11      3.7588
↗0.000, 0.00%
12      3.7655
↘0.007, 0.18%
13      3.7841
↘0.019, 0.49%
14      3.7823
↗0.002, 0.05%
15      3.7692
↗0.013, 0.35%
16      3.7745
↘0.005, 0.14%
17      3.7745
→0.000, 0.00%
18      3.7697
↗0.005, 0.13%
19      3.7701
↘0.000, 0.01%
20      3.7748
↘0.005, 0.13%
21      3.7729
↗0.002, 0.05%
22      3.7574
↗0.015, 0.41%
23      3.7550
↗0.002, 0.06%
24      3.7550
→0.000, 0.00%
25      3.7550
↗0.000, 0.00%
26      3.7532
↗0.002, 0.05%
27      3.7465
↗0.007, 0.18%
28      3.7463
↗0.000, 0.01%
29      3.7462
↗0.000, 0.00%
30      3.7468
↘0.001, 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(“2016-09-01”),3.765,3.76],[new Date(“2016-09-02”),3.758,3.76],[new Date(“2016-09-03”),3.758,3.76],[new Date(“2016-09-04”),3.753,3.75],[new Date(“2016-09-05”),3.762,3.76],[new Date(“2016-09-06”),3.755,3.75],[new Date(“2016-09-07”),3.757,3.76],[new Date(“2016-09-08”),3.759,3.76],[new Date(“2016-09-09”),3.759,3.76],[new Date(“2016-09-10”),3.759,3.76],[new Date(“2016-09-11”),3.759,3.76],[new Date(“2016-09-12”),3.766,3.77],[new Date(“2016-09-13”),3.784,3.78],[new Date(“2016-09-14”),3.782,3.78],[new Date(“2016-09-15”),3.769,3.77],[new Date(“2016-09-16”),3.775,3.77],[new Date(“2016-09-17”),3.775,3.77],[new Date(“2016-09-18”),3.770,3.77],[new Date(“2016-09-19”),3.770,3.77],[new Date(“2016-09-20”),3.775,3.77],[new Date(“2016-09-21”),3.773,3.77],[new Date(“2016-09-22”),3.757,3.76],[new Date(“2016-09-23”),3.755,3.76],[new Date(“2016-09-24”),3.755,3.76],[new Date(“2016-09-25”),3.755,3.76],[new Date(“2016-09-26”),3.753,3.75],[new Date(“2016-09-27”),3.746,3.75],[new Date(“2016-09-28”),3.746,3.75],[new Date(“2016-09-29”),3.746,3.75],[new Date(“2016-09-30″),3.747,3.75],]);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_9’));
chart.draw(data, options);
}

August, 2016

01      3.8070
02      3.8092
↘0.002, 0.06%
03      3.8210
↘0.012, 0.31%
04      3.8244
↘0.003, 0.09%
05      3.8374
↘0.013, 0.34%
06      3.8374
→0.000, 0.00%
07      3.8374
↗0.000, 0.00%
08      3.8205
↗0.017, 0.44%
09      3.8141
↗0.006, 0.17%
10      3.8155
↘0.001, 0.04%
11      3.8088
↗0.007, 0.18%
12      3.8101
↘0.001, 0.03%
13      3.8101
→0.000, 0.00%
14      3.8115
↘0.001, 0.04%
15      3.7950
↗0.016, 0.43%
16      3.7750
↗0.020, 0.53%
17      3.7922
↘0.017, 0.46%
18      3.7774
↗0.015, 0.39%
19      3.7625
↗0.015, 0.39%
20      3.7625
→0.000, 0.00%
21      3.7625
→0.000, 0.00%
22      3.7757
↘0.013, 0.35%
23      3.7706
↗0.005, 0.13%
24      3.7630
↗0.008, 0.20%
25      3.7574
↗0.006, 0.15%
26      3.7725
↘0.015, 0.40%
27      3.7725
→0.000, 0.00%
28      3.7725
↗0.000, 0.00%
29      3.7855
↘0.013, 0.34%
30      3.7864
↘0.001, 0.02%
31      3.7778
↗0.009, 0.23%
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”),3.807,3.81],[new Date(“2016-08-02”),3.809,3.81],[new Date(“2016-08-03”),3.821,3.82],[new Date(“2016-08-04”),3.824,3.82],[new Date(“2016-08-05”),3.837,3.84],[new Date(“2016-08-06”),3.837,3.84],[new Date(“2016-08-07”),3.837,3.84],[new Date(“2016-08-08”),3.821,3.82],[new Date(“2016-08-09”),3.814,3.81],[new Date(“2016-08-10”),3.815,3.82],[new Date(“2016-08-11”),3.809,3.81],[new Date(“2016-08-12”),3.810,3.81],[new Date(“2016-08-13”),3.810,3.81],[new Date(“2016-08-14”),3.812,3.81],[new Date(“2016-08-15”),3.795,3.80],[new Date(“2016-08-16”),3.775,3.78],[new Date(“2016-08-17”),3.792,3.79],[new Date(“2016-08-18”),3.777,3.78],[new Date(“2016-08-19”),3.763,3.76],[new Date(“2016-08-20”),3.763,3.76],[new Date(“2016-08-21”),3.763,3.76],[new Date(“2016-08-22”),3.776,3.78],[new Date(“2016-08-23”),3.771,3.77],[new Date(“2016-08-24”),3.763,3.76],[new Date(“2016-08-25”),3.757,3.76],[new Date(“2016-08-26”),3.773,3.77],[new Date(“2016-08-27”),3.773,3.77],[new Date(“2016-08-28”),3.773,3.77],[new Date(“2016-08-29”),3.786,3.79],[new Date(“2016-08-30”),3.786,3.79],[new Date(“2016-08-31″),3.778,3.78],]);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      3.8495
02      3.8492
↗0.000, 0.01%
03      3.8497
↘0.000, 0.01%
04      3.8517
↘0.002, 0.05%
05      3.8822
↘0.030, 0.79%
06      3.8746
↗0.008, 0.20%
07      3.8846
↘0.010, 0.26%
08      3.8808
↗0.004, 0.10%
09      3.8841
↘0.003, 0.09%
10      3.8824
↗0.002, 0.04%
11      3.8867
↘0.004, 0.11%
12      3.8709
↗0.016, 0.41%
13      3.8660
↗0.005, 0.13%
14      3.8538
↗0.012, 0.31%
15      3.8708
↘0.017, 0.44%
16      3.8708
→0.000, 0.00%
17      3.8550
↗0.016, 0.41%
18      3.8527
↗0.002, 0.06%
19      3.8536
↘0.001, 0.02%
20      3.8524
↗0.001, 0.03%
21      3.8435
↗0.009, 0.23%
22      3.8365
↗0.007, 0.18%
23      3.8365
→0.000, 0.00%
24      3.8359
↗0.001, 0.02%
25      3.8440
↘0.008, 0.21%
26      3.8380
↗0.006, 0.16%
27      3.8435
↘0.005, 0.14%
28      3.8249
↗0.019, 0.48%
29      3.8098
↗0.015, 0.39%
30      3.8098
→0.000, 0.00%
31      3.8098
↗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(“2016-07-01”),3.849,3.85],[new Date(“2016-07-02”),3.849,3.85],[new Date(“2016-07-03”),3.850,3.85],[new Date(“2016-07-04”),3.852,3.85],[new Date(“2016-07-05”),3.882,3.88],[new Date(“2016-07-06”),3.875,3.87],[new Date(“2016-07-07”),3.885,3.88],[new Date(“2016-07-08”),3.881,3.88],[new Date(“2016-07-09”),3.884,3.88],[new Date(“2016-07-10”),3.882,3.88],[new Date(“2016-07-11”),3.887,3.89],[new Date(“2016-07-12”),3.871,3.87],[new Date(“2016-07-13”),3.866,3.87],[new Date(“2016-07-14”),3.854,3.85],[new Date(“2016-07-15”),3.871,3.87],[new Date(“2016-07-16”),3.871,3.87],[new Date(“2016-07-17”),3.855,3.86],[new Date(“2016-07-18”),3.853,3.85],[new Date(“2016-07-19”),3.854,3.85],[new Date(“2016-07-20”),3.852,3.85],[new Date(“2016-07-21”),3.843,3.84],[new Date(“2016-07-22”),3.837,3.84],[new Date(“2016-07-23”),3.837,3.84],[new Date(“2016-07-24”),3.836,3.84],[new Date(“2016-07-25”),3.844,3.84],[new Date(“2016-07-26”),3.838,3.84],[new Date(“2016-07-27”),3.844,3.84],[new Date(“2016-07-28”),3.825,3.82],[new Date(“2016-07-29”),3.810,3.81],[new Date(“2016-07-30”),3.810,3.81],[new Date(“2016-07-31″),3.810,3.81],]);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      3.8519
02      3.8622
↘0.010, 0.27%
03      3.8489
↗0.013, 0.35%
04      3.8498
↘0.001, 0.02%
05      3.8471
↗0.003, 0.07%
06      3.8289
↗0.018, 0.47%
07      3.8369
↘0.008, 0.21%
08      3.8330
↗0.004, 0.10%
09      3.8351
↘0.002, 0.05%
10      3.8585
↘0.023, 0.61%
11      3.8605
↘0.002, 0.05%
12      3.8648
↘0.004, 0.11%
13      3.8604
↗0.004, 0.11%
14      3.8746
↘0.014, 0.37%
15      3.8593
↗0.015, 0.39%
16      3.8723
↘0.013, 0.33%
17      3.8674
↗0.005, 0.13%
18      3.8680
↘0.001, 0.01%
19      3.8646
↗0.003, 0.09%
20      3.8597
↗0.005, 0.13%
21      3.8588
↗0.001, 0.02%
22      3.8456
↗0.013, 0.34%
23      3.8285
↗0.017, 0.44%
24      3.8731
↘0.045, 1.17%
25      3.8854
↘0.012, 0.32%
26      3.8919
↘0.006, 0.17%
27      3.8878
↗0.004, 0.11%
28      3.8792
↗0.009, 0.22%
29      3.8576
↗0.022, 0.56%
30      3.8580
↘0.000, 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(“2016-06-01”),3.852,3.85],[new Date(“2016-06-02”),3.862,3.86],[new Date(“2016-06-03”),3.849,3.85],[new Date(“2016-06-04”),3.850,3.85],[new Date(“2016-06-05”),3.847,3.85],[new Date(“2016-06-06”),3.829,3.83],[new Date(“2016-06-07”),3.837,3.84],[new Date(“2016-06-08”),3.833,3.83],[new Date(“2016-06-09”),3.835,3.84],[new Date(“2016-06-10”),3.859,3.86],[new Date(“2016-06-11”),3.861,3.86],[new Date(“2016-06-12”),3.865,3.86],[new Date(“2016-06-13”),3.860,3.86],[new Date(“2016-06-14”),3.875,3.87],[new Date(“2016-06-15”),3.859,3.86],[new Date(“2016-06-16”),3.872,3.87],[new Date(“2016-06-17”),3.867,3.87],[new Date(“2016-06-18”),3.868,3.87],[new Date(“2016-06-19”),3.865,3.86],[new Date(“2016-06-20”),3.860,3.86],[new Date(“2016-06-21”),3.859,3.86],[new Date(“2016-06-22”),3.846,3.85],[new Date(“2016-06-23”),3.828,3.83],[new Date(“2016-06-24”),3.873,3.87],[new Date(“2016-06-25”),3.885,3.89],[new Date(“2016-06-26”),3.892,3.89],[new Date(“2016-06-27”),3.888,3.89],[new Date(“2016-06-28”),3.879,3.88],[new Date(“2016-06-29”),3.858,3.86],[new Date(“2016-06-30″),3.858,3.86],]);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      3.7385
02      3.7476
↘0.009, 0.24%
03      3.7730
↘0.025, 0.68%
04      3.7828
↘0.010, 0.26%
05      3.7877
↘0.005, 0.13%
06      3.7886
↘0.001, 0.02%
07      3.7891
↘0.001, 0.01%
08      3.7916
↘0.002, 0.06%
09      3.7886
↗0.003, 0.08%
10      3.7768
↗0.012, 0.31%
11      3.7610
↗0.016, 0.42%
12      3.7671
↘0.006, 0.16%
13      3.7808
↘0.014, 0.36%
14      3.7837
↘0.003, 0.08%
15      3.7859
↘0.002, 0.06%
16      3.8075
↘0.022, 0.57%
17      3.8030
↗0.005, 0.12%
18      3.8229
↘0.020, 0.52%
19      3.8342
↘0.011, 0.30%
20      3.8808
↘0.047, 1.22%
21      3.8833
↘0.003, 0.06%
22      3.8812
↗0.002, 0.06%
23      3.8706
↗0.011, 0.27%
24      3.8568
↗0.014, 0.36%
25      3.8483
↗0.008, 0.22%
26      3.8360
↗0.012, 0.32%
27      3.8446
↘0.009, 0.22%
28      3.8449
↘0.000, 0.01%
29      3.8473
↘0.002, 0.06%
30      3.8461
↗0.001, 0.03%
31      3.8520
↘0.006, 0.15%
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”),3.738,3.74],[new Date(“2016-05-02”),3.748,3.75],[new Date(“2016-05-03”),3.773,3.77],[new Date(“2016-05-04”),3.783,3.78],[new Date(“2016-05-05”),3.788,3.79],[new Date(“2016-05-06”),3.789,3.79],[new Date(“2016-05-07”),3.789,3.79],[new Date(“2016-05-08”),3.792,3.79],[new Date(“2016-05-09”),3.789,3.79],[new Date(“2016-05-10”),3.777,3.78],[new Date(“2016-05-11”),3.761,3.76],[new Date(“2016-05-12”),3.767,3.77],[new Date(“2016-05-13”),3.781,3.78],[new Date(“2016-05-14”),3.784,3.78],[new Date(“2016-05-15”),3.786,3.79],[new Date(“2016-05-16”),3.808,3.81],[new Date(“2016-05-17”),3.803,3.80],[new Date(“2016-05-18”),3.823,3.82],[new Date(“2016-05-19”),3.834,3.83],[new Date(“2016-05-20”),3.881,3.88],[new Date(“2016-05-21”),3.883,3.88],[new Date(“2016-05-22”),3.881,3.88],[new Date(“2016-05-23”),3.871,3.87],[new Date(“2016-05-24”),3.857,3.86],[new Date(“2016-05-25”),3.848,3.85],[new Date(“2016-05-26”),3.836,3.84],[new Date(“2016-05-27”),3.845,3.84],[new Date(“2016-05-28”),3.845,3.84],[new Date(“2016-05-29”),3.847,3.85],[new Date(“2016-05-30”),3.846,3.85],[new Date(“2016-05-31″),3.852,3.85],]);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_5’));
chart.draw(data, options);
}

April, 2016

01      3.7751
02      3.7738
↗0.001, 0.03%
03      3.7738
↗0.000, 0.00%
04      3.7801
↘0.006, 0.17%
05      3.8072
↘0.027, 0.72%
06      3.7976
↗0.010, 0.25%
07      3.7946
↗0.003, 0.08%
08      3.7789
↗0.016, 0.41%
09      3.7776
↗0.001, 0.04%
10      3.7775
↗0.000, 0.00%
11      3.7635
↗0.014, 0.37%
12      3.7702
↘0.007, 0.18%
13      3.7723
↘0.002, 0.06%
14      3.7831
↘0.011, 0.28%
15      3.7760
↗0.007, 0.19%
16      3.7759
↗0.000, 0.00%
17      3.7747
↗0.001, 0.03%
18      3.7742
↗0.001, 0.01%
19      3.7642
↗0.010, 0.26%
20      3.7694
↘0.005, 0.14%
21      3.7715
↘0.002, 0.06%
22      3.7689
↗0.003, 0.07%
23      3.7696
↘0.001, 0.02%
24      3.7681
↗0.001, 0.04%
25      3.7630
↗0.005, 0.14%
26      3.7618
↗0.001, 0.03%
27      3.7562
↗0.006, 0.15%
28      3.7573
↘0.001, 0.03%
29      3.7413
↗0.016, 0.42%
30      3.7394
↗0.002, 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(“2016-04-01”),3.775,3.78],[new Date(“2016-04-02”),3.774,3.77],[new Date(“2016-04-03”),3.774,3.77],[new Date(“2016-04-04”),3.780,3.78],[new Date(“2016-04-05”),3.807,3.81],[new Date(“2016-04-06”),3.798,3.80],[new Date(“2016-04-07”),3.795,3.79],[new Date(“2016-04-08”),3.779,3.78],[new Date(“2016-04-09”),3.778,3.78],[new Date(“2016-04-10”),3.777,3.78],[new Date(“2016-04-11”),3.764,3.76],[new Date(“2016-04-12”),3.770,3.77],[new Date(“2016-04-13”),3.772,3.77],[new Date(“2016-04-14”),3.783,3.78],[new Date(“2016-04-15”),3.776,3.78],[new Date(“2016-04-16”),3.776,3.78],[new Date(“2016-04-17”),3.775,3.77],[new Date(“2016-04-18”),3.774,3.77],[new Date(“2016-04-19”),3.764,3.76],[new Date(“2016-04-20”),3.769,3.77],[new Date(“2016-04-21”),3.771,3.77],[new Date(“2016-04-22”),3.769,3.77],[new Date(“2016-04-23”),3.770,3.77],[new Date(“2016-04-24”),3.768,3.77],[new Date(“2016-04-25”),3.763,3.76],[new Date(“2016-04-26”),3.762,3.76],[new Date(“2016-04-27”),3.756,3.76],[new Date(“2016-04-28”),3.757,3.76],[new Date(“2016-04-29”),3.741,3.74],[new Date(“2016-04-30″),3.739,3.74],]);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      3.8893
02      3.8867
↗0.003, 0.07%
03      3.8890
↘0.002, 0.06%
04      3.9061
↘0.017, 0.44%
05      3.9082
↘0.002, 0.05%
06      3.9113
↘0.003, 0.08%
07      3.9124
↘0.001, 0.03%
08      3.9087
↗0.004, 0.10%
09      3.8966
↗0.012, 0.31%
10      3.8825
↗0.014, 0.36%
11      3.8811
↗0.001, 0.04%
12      3.8784
↗0.003, 0.07%
13      3.8774
↗0.001, 0.03%
14      3.8914
↘0.014, 0.36%
15      3.8905
↗0.001, 0.02%
16      3.8834
↗0.007, 0.18%
17      3.8596
↗0.024, 0.61%
18      3.8566
↗0.003, 0.08%
19      3.8542
↗0.002, 0.06%
20      3.8559
↘0.002, 0.04%
21      3.8550
↗0.001, 0.02%
22      3.8438
↗0.011, 0.29%
23      3.8413
↗0.003, 0.07%
24      3.8350
↗0.006, 0.16%
25      3.8357
↘0.001, 0.02%
26      3.8356
↗0.000, 0.00%
27      3.8355
↗0.000, 0.00%
28      3.8289
↗0.007, 0.17%
29      3.8118
↗0.017, 0.45%
30      3.7927
↗0.019, 0.50%
31      3.7625
↗0.030, 0.79%
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”),3.889,3.89],[new Date(“2016-03-02”),3.887,3.89],[new Date(“2016-03-03”),3.889,3.89],[new Date(“2016-03-04”),3.906,3.91],[new Date(“2016-03-05”),3.908,3.91],[new Date(“2016-03-06”),3.911,3.91],[new Date(“2016-03-07”),3.912,3.91],[new Date(“2016-03-08”),3.909,3.91],[new Date(“2016-03-09”),3.897,3.90],[new Date(“2016-03-10”),3.882,3.88],[new Date(“2016-03-11”),3.881,3.88],[new Date(“2016-03-12”),3.878,3.88],[new Date(“2016-03-13”),3.877,3.88],[new Date(“2016-03-14”),3.891,3.89],[new Date(“2016-03-15”),3.891,3.89],[new Date(“2016-03-16”),3.883,3.88],[new Date(“2016-03-17”),3.860,3.86],[new Date(“2016-03-18”),3.857,3.86],[new Date(“2016-03-19”),3.854,3.85],[new Date(“2016-03-20”),3.856,3.86],[new Date(“2016-03-21”),3.855,3.85],[new Date(“2016-03-22”),3.844,3.84],[new Date(“2016-03-23”),3.841,3.84],[new Date(“2016-03-24”),3.835,3.84],[new Date(“2016-03-25”),3.836,3.84],[new Date(“2016-03-26”),3.836,3.84],[new Date(“2016-03-27”),3.836,3.84],[new Date(“2016-03-28”),3.829,3.83],[new Date(“2016-03-29”),3.812,3.81],[new Date(“2016-03-30”),3.793,3.79],[new Date(“2016-03-31″),3.763,3.76],]);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      3.9567
02      3.9616
↘0.005, 0.13%
03      3.9426
↗0.019, 0.48%
04      3.9108
↗0.032, 0.81%
05      3.8898
↗0.021, 0.54%
06      3.8836
↗0.006, 0.16%
07      3.8824
↗0.001, 0.03%
08      3.8913
↘0.009, 0.23%
09      3.8744
↗0.017, 0.44%
10      3.8786
↘0.004, 0.11%
11      3.8861
↘0.008, 0.19%
12      3.8821
↗0.004, 0.10%
13      3.8821
↘0.000, 0.00%
14      3.8825
↘0.000, 0.01%
15      3.8935
↘0.011, 0.28%
16      3.9011
↘0.008, 0.19%
17      3.9017
↘0.001, 0.02%
18      3.9111
↘0.009, 0.24%
19      3.9109
↗0.000, 0.00%
20      3.9125
↘0.002, 0.04%
21      3.9143
↘0.002, 0.05%
22      3.9096
↗0.005, 0.12%
23      3.9112
↘0.002, 0.04%
24      3.9150
↘0.004, 0.10%
25      3.9052
↗0.010, 0.25%
26      3.9131
↘0.008, 0.20%
27      3.9117
↗0.001, 0.03%
28      3.9122
↘0.000, 0.01%
29      3.9069
↗0.005, 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(“2016-02-01”),3.957,3.96],[new Date(“2016-02-02”),3.962,3.96],[new Date(“2016-02-03”),3.943,3.94],[new Date(“2016-02-04”),3.911,3.91],[new Date(“2016-02-05”),3.890,3.89],[new Date(“2016-02-06”),3.884,3.88],[new Date(“2016-02-07”),3.882,3.88],[new Date(“2016-02-08”),3.891,3.89],[new Date(“2016-02-09”),3.874,3.87],[new Date(“2016-02-10”),3.879,3.88],[new Date(“2016-02-11”),3.886,3.89],[new Date(“2016-02-12”),3.882,3.88],[new Date(“2016-02-13”),3.882,3.88],[new Date(“2016-02-14”),3.882,3.88],[new Date(“2016-02-15”),3.894,3.89],[new Date(“2016-02-16”),3.901,3.90],[new Date(“2016-02-17”),3.902,3.90],[new Date(“2016-02-18”),3.911,3.91],[new Date(“2016-02-19”),3.911,3.91],[new Date(“2016-02-20”),3.913,3.91],[new Date(“2016-02-21”),3.914,3.91],[new Date(“2016-02-22”),3.910,3.91],[new Date(“2016-02-23”),3.911,3.91],[new Date(“2016-02-24”),3.915,3.92],[new Date(“2016-02-25”),3.905,3.91],[new Date(“2016-02-26”),3.913,3.91],[new Date(“2016-02-27”),3.912,3.91],[new Date(“2016-02-28”),3.912,3.91],[new Date(“2016-02-29″),3.907,3.91],]);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      3.8922
02      3.8893
↗0.003, 0.07%
03      3.8930
↘0.004, 0.09%
04      3.9156
↘0.023, 0.58%
05      3.9258
↘0.010, 0.26%
06      3.9406
↘0.015, 0.38%
07      3.9266
↗0.014, 0.35%
08      3.9283
↘0.002, 0.04%
09      3.9260
↗0.002, 0.06%
10      3.9276
↘0.002, 0.04%
11      3.9339
↘0.006, 0.16%
12      3.9389
↘0.005, 0.13%
13      3.9379
↗0.001, 0.03%
14      3.9415
↘0.004, 0.09%
15      3.9672
↘0.026, 0.65%
16      3.9692
↘0.002, 0.05%
17      3.9708
↘0.002, 0.04%
18      3.9561
↗0.015, 0.37%
19      3.9666
↘0.011, 0.27%
20      3.9681
↘0.002, 0.04%
21      3.9732
↘0.005, 0.13%
22      3.9802
↘0.007, 0.18%
23      3.9815
↘0.001, 0.03%
24      3.9826
↘0.001, 0.03%
25      3.9728
↗0.010, 0.25%
26      3.9677
↗0.005, 0.13%
27      3.9734
↘0.006, 0.14%
28      3.9536
↗0.020, 0.50%
29      3.9618
↘0.008, 0.21%
30      3.9599
↗0.002, 0.05%
31      3.9611
↘0.001, 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(“2016-01-01”),3.892,3.89],[new Date(“2016-01-02”),3.889,3.89],[new Date(“2016-01-03”),3.893,3.89],[new Date(“2016-01-04”),3.916,3.92],[new Date(“2016-01-05”),3.926,3.93],[new Date(“2016-01-06”),3.941,3.94],[new Date(“2016-01-07”),3.927,3.93],[new Date(“2016-01-08”),3.928,3.93],[new Date(“2016-01-09”),3.926,3.93],[new Date(“2016-01-10”),3.928,3.93],[new Date(“2016-01-11”),3.934,3.93],[new Date(“2016-01-12”),3.939,3.94],[new Date(“2016-01-13”),3.938,3.94],[new Date(“2016-01-14”),3.941,3.94],[new Date(“2016-01-15”),3.967,3.97],[new Date(“2016-01-16”),3.969,3.97],[new Date(“2016-01-17”),3.971,3.97],[new Date(“2016-01-18”),3.956,3.96],[new Date(“2016-01-19”),3.967,3.97],[new Date(“2016-01-20”),3.968,3.97],[new Date(“2016-01-21”),3.973,3.97],[new Date(“2016-01-22”),3.980,3.98],[new Date(“2016-01-23”),3.982,3.98],[new Date(“2016-01-24”),3.983,3.98],[new Date(“2016-01-25”),3.973,3.97],[new Date(“2016-01-26”),3.968,3.97],[new Date(“2016-01-27”),3.973,3.97],[new Date(“2016-01-28”),3.954,3.95],[new Date(“2016-01-29”),3.962,3.96],[new Date(“2016-01-30”),3.960,3.96],[new Date(“2016-01-31″),3.961,3.96],]);var options = {
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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);
}