Chilean Peso CLP 2016 Conversion Rates
- Opening Value is 708.939306 CLP per Dollar
- Closing Value is 669.289978 CLP per Dollar
- Change in Value during 2016 is -39.6493 which is -5.59%
- Best Performance is on 2016-08-11 with 641.999726 CLP per Dollar
- Lowest Performance is on 2016-01-17 with 732.213499 CLP per Dollar
- Average Value is 676.3722 CLP per Dollar
- Swing Between the higest and the lowest is 90.2138 per Dollar, that is 12.73% compared to the opening value.
USD to CLP Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2016-12-31 | 669.2900 CLP |
| 2016-11-30 | 675.4900 CLP |
| 2016-10-31 | 652.4000 CLP |
| 2016-09-30 | 657.5500 CLP |
| 2016-08-31 | 680.1000 CLP |
| 2016-07-31 | 654.8400 CLP |
| 2016-06-30 | 664.8400 CLP |
| 2016-05-31 | 689.4963 CLP |
| 2016-04-30 | 660.9678 CLP |
| 2016-03-31 | 670.5830 CLP |
| 2016-02-29 | 695.8550 CLP |
| 2016-01-31 | 713.0773 CLP |
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”),669.290,669.29],[new Date(“2016-11-30”),675.490,675.49],[new Date(“2016-10-31”),652.400,652.40],[new Date(“2016-09-30”),657.550,657.55],[new Date(“2016-08-31”),680.100,680.10],[new Date(“2016-07-31”),654.840,654.84],[new Date(“2016-06-30”),664.840,664.84],[new Date(“2016-05-31”),689.496,689.50],[new Date(“2016-04-30”),660.968,660.97],[new Date(“2016-03-31”),670.583,670.58],[new Date(“2016-02-29”),695.855,695.86],[new Date(“2016-01-31”),713.077,713.08],]);var options = {
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‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}
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”),669.290,669.29],[new Date(“2016-11-30”),675.490,675.49],[new Date(“2016-10-31”),652.400,652.40],[new Date(“2016-09-30”),657.550,657.55],[new Date(“2016-08-31”),680.100,680.10],[new Date(“2016-07-31”),654.840,654.84],[new Date(“2016-06-30”),664.840,664.84],[new Date(“2016-05-31”),689.496,689.50],[new Date(“2016-04-30”),660.968,660.97],[new Date(“2016-03-31”),670.583,670.58],[new Date(“2016-02-29”),695.855,695.86],[new Date(“2016-01-31”),713.077,713.08],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}
December, 2016
01 673.4000
02 670.5800
↗2.820, 0.42%
03 670.5800
→0.000, 0.00%
04 670.5800
→0.000, 0.00%
05 664.6800
↗5.900, 0.88%
06 657.7000
↗6.980, 1.05%
07 654.8200
↗2.880, 0.44%
08 654.2900
↗0.530, 0.08%
09 651.6100
↗2.680, 0.41%
10 651.6100
→0.000, 0.00%
11 651.2000
↗0.410, 0.06%
12 648.9000
↗2.300, 0.35%
13 650.5023
↘1.602, 0.25%
14 658.6700
↘8.168, 1.26%
15 664.5800
↘5.910, 0.90%
16 673.3000
↘8.720, 1.31%
17 673.3000
→0.000, 0.00%
18 673.3000
→0.000, 0.00%
19 677.5900
↘4.290, 0.64%
20 676.7000
↗0.890, 0.13%
21 674.1000
↗2.600, 0.38%
22 676.7000
↘2.600, 0.39%
23 673.1900
↗3.510, 0.52%
24 673.1900
→0.000, 0.00%
25 673.1900
→0.000, 0.00%
26 673.4991
↘0.309, 0.05%
27 673.5400
↘0.041, 0.01%
28 673.3000
↗0.240, 0.04%
29 667.5074
↗5.793, 0.86%
30 669.2900
↘1.783, 0.27%
31 669.2900
→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”),673.400,673.40],[new Date(“2016-12-02”),670.580,670.58],[new Date(“2016-12-03”),670.580,670.58],[new Date(“2016-12-04”),670.580,670.58],[new Date(“2016-12-05”),664.680,664.68],[new Date(“2016-12-06”),657.700,657.70],[new Date(“2016-12-07”),654.820,654.82],[new Date(“2016-12-08”),654.290,654.29],[new Date(“2016-12-09”),651.610,651.61],[new Date(“2016-12-10”),651.610,651.61],[new Date(“2016-12-11”),651.200,651.20],[new Date(“2016-12-12”),648.900,648.90],[new Date(“2016-12-13”),650.502,650.50],[new Date(“2016-12-14”),658.670,658.67],[new Date(“2016-12-15”),664.580,664.58],[new Date(“2016-12-16”),673.300,673.30],[new Date(“2016-12-17”),673.300,673.30],[new Date(“2016-12-18”),673.300,673.30],[new Date(“2016-12-19”),677.590,677.59],[new Date(“2016-12-20”),676.700,676.70],[new Date(“2016-12-21”),674.100,674.10],[new Date(“2016-12-22”),676.700,676.70],[new Date(“2016-12-23”),673.190,673.19],[new Date(“2016-12-24”),673.190,673.19],[new Date(“2016-12-25”),673.190,673.19],[new Date(“2016-12-26”),673.499,673.50],[new Date(“2016-12-27”),673.540,673.54],[new Date(“2016-12-28”),673.300,673.30],[new Date(“2016-12-29”),667.507,667.51],[new Date(“2016-12-30”),669.290,669.29],[new Date(“2016-12-31″),669.290,669.29],]);var options = {
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}
November, 2016
01 650.4500
02 649.0004
↗1.450, 0.22%
03 651.3000
↘2.300, 0.35%
04 655.6000
↘4.300, 0.66%
05 655.6000
→0.000, 0.00%
06 655.6000
→0.000, 0.00%
07 652.6400
↗2.960, 0.45%
08 646.8000
↗5.840, 0.89%
09 648.8500
↘2.050, 0.32%
10 659.5500
↘10.700, 1.65%
11 667.0004
↘7.450, 1.13%
12 667.0004
→0.000, 0.00%
13 667.0001
↗0.000, 0.00%
14 670.2900
↘3.290, 0.49%
15 671.3900
↘1.100, 0.16%
16 674.5600
↘3.170, 0.47%
17 676.1900
↘1.630, 0.24%
18 677.7200
↘1.530, 0.23%
19 677.7200
→0.000, 0.00%
20 677.7200
→0.000, 0.00%
21 675.4000
↗2.320, 0.34%
22 676.5300
↘1.130, 0.17%
23 676.7900
↘0.260, 0.04%
24 677.0003
↘0.210, 0.03%
25 678.3900
↘1.390, 0.21%
26 678.3900
→0.000, 0.00%
27 678.3900
→0.000, 0.00%
28 675.3000
↗3.090, 0.46%
29 672.2000
↗3.100, 0.46%
30 675.4900
↘3.290, 0.49%
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”),650.450,650.45],[new Date(“2016-11-02”),649.000,649.00],[new Date(“2016-11-03”),651.300,651.30],[new Date(“2016-11-04”),655.600,655.60],[new Date(“2016-11-05”),655.600,655.60],[new Date(“2016-11-06”),655.600,655.60],[new Date(“2016-11-07”),652.640,652.64],[new Date(“2016-11-08”),646.800,646.80],[new Date(“2016-11-09”),648.850,648.85],[new Date(“2016-11-10”),659.550,659.55],[new Date(“2016-11-11”),667.000,667.00],[new Date(“2016-11-12”),667.000,667.00],[new Date(“2016-11-13”),667.000,667.00],[new Date(“2016-11-14”),670.290,670.29],[new Date(“2016-11-15”),671.390,671.39],[new Date(“2016-11-16”),674.560,674.56],[new Date(“2016-11-17”),676.190,676.19],[new Date(“2016-11-18”),677.720,677.72],[new Date(“2016-11-19”),677.720,677.72],[new Date(“2016-11-20”),677.720,677.72],[new Date(“2016-11-21”),675.400,675.40],[new Date(“2016-11-22”),676.530,676.53],[new Date(“2016-11-23”),676.790,676.79],[new Date(“2016-11-24”),677.000,677.00],[new Date(“2016-11-25”),678.390,678.39],[new Date(“2016-11-26”),678.390,678.39],[new Date(“2016-11-27”),678.390,678.39],[new Date(“2016-11-28”),675.300,675.30],[new Date(“2016-11-29”),672.200,672.20],[new Date(“2016-11-30″),675.490,675.49],]);var options = {
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
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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”),650.450,650.45],[new Date(“2016-11-02”),649.000,649.00],[new Date(“2016-11-03”),651.300,651.30],[new Date(“2016-11-04”),655.600,655.60],[new Date(“2016-11-05”),655.600,655.60],[new Date(“2016-11-06”),655.600,655.60],[new Date(“2016-11-07”),652.640,652.64],[new Date(“2016-11-08”),646.800,646.80],[new Date(“2016-11-09”),648.850,648.85],[new Date(“2016-11-10”),659.550,659.55],[new Date(“2016-11-11”),667.000,667.00],[new Date(“2016-11-12”),667.000,667.00],[new Date(“2016-11-13”),667.000,667.00],[new Date(“2016-11-14”),670.290,670.29],[new Date(“2016-11-15”),671.390,671.39],[new Date(“2016-11-16”),674.560,674.56],[new Date(“2016-11-17”),676.190,676.19],[new Date(“2016-11-18”),677.720,677.72],[new Date(“2016-11-19”),677.720,677.72],[new Date(“2016-11-20”),677.720,677.72],[new Date(“2016-11-21”),675.400,675.40],[new Date(“2016-11-22”),676.530,676.53],[new Date(“2016-11-23”),676.790,676.79],[new Date(“2016-11-24”),677.000,677.00],[new Date(“2016-11-25”),678.390,678.39],[new Date(“2016-11-26”),678.390,678.39],[new Date(“2016-11-27”),678.390,678.39],[new Date(“2016-11-28”),675.300,675.30],[new Date(“2016-11-29”),672.200,672.20],[new Date(“2016-11-30″),675.490,675.49],]);var options = {
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chart.draw(data, options);
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October, 2016
01 657.5500
02 657.0900
↗0.460, 0.07%
03 659.7900
↘2.700, 0.41%
04 663.1900
↘3.400, 0.52%
05 665.2700
↘2.080, 0.31%
06 665.9900
↘0.720, 0.11%
07 668.9900
↘3.000, 0.45%
08 668.9900
→0.000, 0.00%
09 668.9900
→0.000, 0.00%
10 669.3500
↘0.360, 0.05%
11 666.7900
↗2.560, 0.38%
12 665.6900
↗1.100, 0.16%
13 671.2300
↘5.540, 0.83%
14 670.2300
↗1.000, 0.15%
15 670.2300
→0.000, 0.00%
16 670.2300
→0.000, 0.00%
17 670.0200
↗0.210, 0.03%
18 667.6900
↗2.330, 0.35%
19 664.7900
↗2.900, 0.43%
20 666.4000
↘1.610, 0.24%
21 666.0200
↗0.380, 0.06%
22 666.0200
→0.000, 0.00%
23 666.2000
↘0.180, 0.03%
24 658.2900
↗7.910, 1.19%
25 652.7900
↗5.500, 0.84%
26 653.6900
↘0.900, 0.14%
27 650.3900
↗3.300, 0.50%
28 653.6000
↘3.210, 0.49%
29 653.6000
→0.000, 0.00%
30 653.6000
→0.000, 0.00%
31 652.4000
↗1.200, 0.18%
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”),657.550,657.55],[new Date(“2016-10-02”),657.090,657.09],[new Date(“2016-10-03”),659.790,659.79],[new Date(“2016-10-04”),663.190,663.19],[new Date(“2016-10-05”),665.270,665.27],[new Date(“2016-10-06”),665.990,665.99],[new Date(“2016-10-07”),668.990,668.99],[new Date(“2016-10-08”),668.990,668.99],[new Date(“2016-10-09”),668.990,668.99],[new Date(“2016-10-10”),669.350,669.35],[new Date(“2016-10-11”),666.790,666.79],[new Date(“2016-10-12”),665.690,665.69],[new Date(“2016-10-13”),671.230,671.23],[new Date(“2016-10-14”),670.230,670.23],[new Date(“2016-10-15”),670.230,670.23],[new Date(“2016-10-16”),670.230,670.23],[new Date(“2016-10-17”),670.020,670.02],[new Date(“2016-10-18”),667.690,667.69],[new Date(“2016-10-19”),664.790,664.79],[new Date(“2016-10-20”),666.400,666.40],[new Date(“2016-10-21”),666.020,666.02],[new Date(“2016-10-22”),666.020,666.02],[new Date(“2016-10-23”),666.200,666.20],[new Date(“2016-10-24”),658.290,658.29],[new Date(“2016-10-25”),652.790,652.79],[new Date(“2016-10-26”),653.690,653.69],[new Date(“2016-10-27”),650.390,650.39],[new Date(“2016-10-28”),653.600,653.60],[new Date(“2016-10-29”),653.600,653.60],[new Date(“2016-10-30”),653.600,653.60],[new Date(“2016-10-31″),652.400,652.40],]);var options = {
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
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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”),657.550,657.55],[new Date(“2016-10-02”),657.090,657.09],[new Date(“2016-10-03”),659.790,659.79],[new Date(“2016-10-04”),663.190,663.19],[new Date(“2016-10-05”),665.270,665.27],[new Date(“2016-10-06”),665.990,665.99],[new Date(“2016-10-07”),668.990,668.99],[new Date(“2016-10-08”),668.990,668.99],[new Date(“2016-10-09”),668.990,668.99],[new Date(“2016-10-10”),669.350,669.35],[new Date(“2016-10-11”),666.790,666.79],[new Date(“2016-10-12”),665.690,665.69],[new Date(“2016-10-13”),671.230,671.23],[new Date(“2016-10-14”),670.230,670.23],[new Date(“2016-10-15”),670.230,670.23],[new Date(“2016-10-16”),670.230,670.23],[new Date(“2016-10-17”),670.020,670.02],[new Date(“2016-10-18”),667.690,667.69],[new Date(“2016-10-19”),664.790,664.79],[new Date(“2016-10-20”),666.400,666.40],[new Date(“2016-10-21”),666.020,666.02],[new Date(“2016-10-22”),666.020,666.02],[new Date(“2016-10-23”),666.200,666.20],[new Date(“2016-10-24”),658.290,658.29],[new Date(“2016-10-25”),652.790,652.79],[new Date(“2016-10-26”),653.690,653.69],[new Date(“2016-10-27”),650.390,650.39],[new Date(“2016-10-28”),653.600,653.60],[new Date(“2016-10-29”),653.600,653.60],[new Date(“2016-10-30”),653.600,653.60],[new Date(“2016-10-31″),652.400,652.40],]);var options = {
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title: ‘Date’
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
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September, 2016
01 680.1000
02 671.5500
↗8.550, 1.26%
03 671.5500
→0.000, 0.00%
04 671.5500
→0.000, 0.00%
05 673.1500
↘1.600, 0.24%
06 662.4900
↗10.660, 1.58%
07 662.0900
↗0.400, 0.06%
08 664.6900
↘2.600, 0.39%
09 671.6500
↘6.960, 1.05%
10 671.6500
→0.000, 0.00%
11 671.6500
→0.000, 0.00%
12 667.4900
↗4.160, 0.62%
13 676.2400
↘8.750, 1.31%
14 674.3900
↗1.850, 0.27%
15 671.4000
↗2.990, 0.44%
16 674.3400
↘2.940, 0.44%
17 674.3400
→0.000, 0.00%
18 674.3400
→0.000, 0.00%
19 674.6900
↘0.350, 0.05%
20 670.7000
↗3.990, 0.59%
21 662.2000
↗8.500, 1.27%
22 659.0900
↗3.110, 0.47%
23 660.2504
↘1.160, 0.18%
24 660.2504
→0.000, 0.00%
25 660.2500
↗0.000, 0.00%
26 662.0900
↘1.840, 0.28%
27 661.9900
↗0.100, 0.02%
28 658.2900
↗3.700, 0.56%
29 659.4000
↘1.110, 0.17%
30 657.5500
↗1.850, 0.28%
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”),680.100,680.10],[new Date(“2016-09-02”),671.550,671.55],[new Date(“2016-09-03”),671.550,671.55],[new Date(“2016-09-04”),671.550,671.55],[new Date(“2016-09-05”),673.150,673.15],[new Date(“2016-09-06”),662.490,662.49],[new Date(“2016-09-07”),662.090,662.09],[new Date(“2016-09-08”),664.690,664.69],[new Date(“2016-09-09”),671.650,671.65],[new Date(“2016-09-10”),671.650,671.65],[new Date(“2016-09-11”),671.650,671.65],[new Date(“2016-09-12”),667.490,667.49],[new Date(“2016-09-13”),676.240,676.24],[new Date(“2016-09-14”),674.390,674.39],[new Date(“2016-09-15”),671.400,671.40],[new Date(“2016-09-16”),674.340,674.34],[new Date(“2016-09-17”),674.340,674.34],[new Date(“2016-09-18”),674.340,674.34],[new Date(“2016-09-19”),674.690,674.69],[new Date(“2016-09-20”),670.700,670.70],[new Date(“2016-09-21”),662.200,662.20],[new Date(“2016-09-22”),659.090,659.09],[new Date(“2016-09-23”),660.250,660.25],[new Date(“2016-09-24”),660.250,660.25],[new Date(“2016-09-25”),660.250,660.25],[new Date(“2016-09-26”),662.090,662.09],[new Date(“2016-09-27”),661.990,661.99],[new Date(“2016-09-28”),658.290,658.29],[new Date(“2016-09-29”),659.400,659.40],[new Date(“2016-09-30″),657.550,657.55],]);var options = {
hAxis: {
title: ‘Date’
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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);
}
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”),680.100,680.10],[new Date(“2016-09-02”),671.550,671.55],[new Date(“2016-09-03”),671.550,671.55],[new Date(“2016-09-04”),671.550,671.55],[new Date(“2016-09-05”),673.150,673.15],[new Date(“2016-09-06”),662.490,662.49],[new Date(“2016-09-07”),662.090,662.09],[new Date(“2016-09-08”),664.690,664.69],[new Date(“2016-09-09”),671.650,671.65],[new Date(“2016-09-10”),671.650,671.65],[new Date(“2016-09-11”),671.650,671.65],[new Date(“2016-09-12”),667.490,667.49],[new Date(“2016-09-13”),676.240,676.24],[new Date(“2016-09-14”),674.390,674.39],[new Date(“2016-09-15”),671.400,671.40],[new Date(“2016-09-16”),674.340,674.34],[new Date(“2016-09-17”),674.340,674.34],[new Date(“2016-09-18”),674.340,674.34],[new Date(“2016-09-19”),674.690,674.69],[new Date(“2016-09-20”),670.700,670.70],[new Date(“2016-09-21”),662.200,662.20],[new Date(“2016-09-22”),659.090,659.09],[new Date(“2016-09-23”),660.250,660.25],[new Date(“2016-09-24”),660.250,660.25],[new Date(“2016-09-25”),660.250,660.25],[new Date(“2016-09-26”),662.090,662.09],[new Date(“2016-09-27”),661.990,661.99],[new Date(“2016-09-28”),658.290,658.29],[new Date(“2016-09-29”),659.400,659.40],[new Date(“2016-09-30″),657.550,657.55],]);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
01 658.1000
02 655.3000
↗2.800, 0.43%
03 656.2000
↘0.900, 0.14%
04 655.1000
↗1.100, 0.17%
05 655.9900
↘0.890, 0.14%
06 655.9900
→0.000, 0.00%
07 655.9900
→0.000, 0.00%
08 654.4000
↗1.590, 0.24%
09 652.2000
↗2.200, 0.34%
10 650.3000
↗1.900, 0.29%
11 641.9997
↗8.300, 1.28%
12 650.7000
↘8.700, 1.36%
13 650.7000
→0.000, 0.00%
14 650.7000
→0.000, 0.00%
15 648.6900
↗2.010, 0.31%
16 651.2900
↘2.600, 0.40%
17 656.8900
↘5.600, 0.86%
18 657.4900
↘0.600, 0.09%
19 662.0004
↘4.510, 0.69%
20 662.0004
→0.000, 0.00%
21 661.9999
↗0.000, 0.00%
22 668.1900
↘6.190, 0.94%
23 671.9900
↘3.800, 0.57%
24 669.9999
↗1.990, 0.30%
25 662.2900
↗7.710, 1.15%
26 671.8900
↘9.600, 1.45%
27 671.8900
→0.000, 0.00%
28 671.9000
↘0.010, 0.00%
29 671.1900
↗0.710, 0.11%
30 673.0900
↘1.900, 0.28%
31 680.1000
↘7.010, 1.04%
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”),658.100,658.10],[new Date(“2016-08-02”),655.300,655.30],[new Date(“2016-08-03”),656.200,656.20],[new Date(“2016-08-04”),655.100,655.10],[new Date(“2016-08-05”),655.990,655.99],[new Date(“2016-08-06”),655.990,655.99],[new Date(“2016-08-07”),655.990,655.99],[new Date(“2016-08-08”),654.400,654.40],[new Date(“2016-08-09”),652.200,652.20],[new Date(“2016-08-10”),650.300,650.30],[new Date(“2016-08-11”),642.000,642.00],[new Date(“2016-08-12”),650.700,650.70],[new Date(“2016-08-13”),650.700,650.70],[new Date(“2016-08-14”),650.700,650.70],[new Date(“2016-08-15”),648.690,648.69],[new Date(“2016-08-16”),651.290,651.29],[new Date(“2016-08-17”),656.890,656.89],[new Date(“2016-08-18”),657.490,657.49],[new Date(“2016-08-19”),662.000,662.00],[new Date(“2016-08-20”),662.000,662.00],[new Date(“2016-08-21”),662.000,662.00],[new Date(“2016-08-22”),668.190,668.19],[new Date(“2016-08-23”),671.990,671.99],[new Date(“2016-08-24”),670.000,670.00],[new Date(“2016-08-25”),662.290,662.29],[new Date(“2016-08-26”),671.890,671.89],[new Date(“2016-08-27”),671.890,671.89],[new Date(“2016-08-28”),671.900,671.90],[new Date(“2016-08-29”),671.190,671.19],[new Date(“2016-08-30”),673.090,673.09],[new Date(“2016-08-31″),680.100,680.10],]);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);
}
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”),658.100,658.10],[new Date(“2016-08-02”),655.300,655.30],[new Date(“2016-08-03”),656.200,656.20],[new Date(“2016-08-04”),655.100,655.10],[new Date(“2016-08-05”),655.990,655.99],[new Date(“2016-08-06”),655.990,655.99],[new Date(“2016-08-07”),655.990,655.99],[new Date(“2016-08-08”),654.400,654.40],[new Date(“2016-08-09”),652.200,652.20],[new Date(“2016-08-10”),650.300,650.30],[new Date(“2016-08-11”),642.000,642.00],[new Date(“2016-08-12”),650.700,650.70],[new Date(“2016-08-13”),650.700,650.70],[new Date(“2016-08-14”),650.700,650.70],[new Date(“2016-08-15”),648.690,648.69],[new Date(“2016-08-16”),651.290,651.29],[new Date(“2016-08-17”),656.890,656.89],[new Date(“2016-08-18”),657.490,657.49],[new Date(“2016-08-19”),662.000,662.00],[new Date(“2016-08-20”),662.000,662.00],[new Date(“2016-08-21”),662.000,662.00],[new Date(“2016-08-22”),668.190,668.19],[new Date(“2016-08-23”),671.990,671.99],[new Date(“2016-08-24”),670.000,670.00],[new Date(“2016-08-25”),662.290,662.29],[new Date(“2016-08-26”),671.890,671.89],[new Date(“2016-08-27”),671.890,671.89],[new Date(“2016-08-28”),671.900,671.90],[new Date(“2016-08-29”),671.190,671.19],[new Date(“2016-08-30”),673.090,673.09],[new Date(“2016-08-31″),680.100,680.10],]);var options = {
hAxis: {
title: ‘Date’
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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
01 661.2501
02 661.1617
↗0.088, 0.01%
03 661.0320
↗0.130, 0.02%
04 658.8020
↗2.230, 0.34%
05 662.3913
↘3.589, 0.54%
06 661.6341
↗0.757, 0.11%
07 664.3102
↘2.676, 0.40%
08 660.5766
↗3.734, 0.56%
09 660.6367
↘0.060, 0.01%
10 661.8204
↘1.184, 0.18%
11 661.5780
↗0.242, 0.04%
12 660.7159
↗0.862, 0.13%
13 657.5677
↗3.148, 0.48%
14 654.2354
↗3.332, 0.51%
15 654.6000
↘0.365, 0.06%
16 654.6000
→0.000, 0.00%
17 654.6000
→0.000, 0.00%
18 647.9000
↗6.700, 1.02%
19 651.9000
↘4.000, 0.62%
20 651.8000
↗0.100, 0.02%
21 650.4000
↗1.400, 0.21%
22 650.2000
↗0.200, 0.03%
23 650.2000
→0.000, 0.00%
24 650.4000
↘0.200, 0.03%
25 658.8000
↘8.400, 1.29%
26 659.7000
↘0.900, 0.14%
27 665.9000
↘6.200, 0.94%
28 663.8000
↗2.100, 0.32%
29 654.8400
↗8.960, 1.35%
30 654.8400
→0.000, 0.00%
31 654.8400
→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”),661.250,661.25],[new Date(“2016-07-02”),661.162,661.16],[new Date(“2016-07-03”),661.032,661.03],[new Date(“2016-07-04”),658.802,658.80],[new Date(“2016-07-05”),662.391,662.39],[new Date(“2016-07-06”),661.634,661.63],[new Date(“2016-07-07”),664.310,664.31],[new Date(“2016-07-08”),660.577,660.58],[new Date(“2016-07-09”),660.637,660.64],[new Date(“2016-07-10”),661.820,661.82],[new Date(“2016-07-11”),661.578,661.58],[new Date(“2016-07-12”),660.716,660.72],[new Date(“2016-07-13”),657.568,657.57],[new Date(“2016-07-14”),654.235,654.24],[new Date(“2016-07-15”),654.600,654.60],[new Date(“2016-07-16”),654.600,654.60],[new Date(“2016-07-17”),654.600,654.60],[new Date(“2016-07-18”),647.900,647.90],[new Date(“2016-07-19”),651.900,651.90],[new Date(“2016-07-20”),651.800,651.80],[new Date(“2016-07-21”),650.400,650.40],[new Date(“2016-07-22”),650.200,650.20],[new Date(“2016-07-23”),650.200,650.20],[new Date(“2016-07-24”),650.400,650.40],[new Date(“2016-07-25”),658.800,658.80],[new Date(“2016-07-26”),659.700,659.70],[new Date(“2016-07-27”),665.900,665.90],[new Date(“2016-07-28”),663.800,663.80],[new Date(“2016-07-29”),654.840,654.84],[new Date(“2016-07-30”),654.840,654.84],[new Date(“2016-07-31″),654.840,654.84],]);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_7’));
chart.draw(data, options);
}
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”),661.250,661.25],[new Date(“2016-07-02”),661.162,661.16],[new Date(“2016-07-03”),661.032,661.03],[new Date(“2016-07-04”),658.802,658.80],[new Date(“2016-07-05”),662.391,662.39],[new Date(“2016-07-06”),661.634,661.63],[new Date(“2016-07-07”),664.310,664.31],[new Date(“2016-07-08”),660.577,660.58],[new Date(“2016-07-09”),660.637,660.64],[new Date(“2016-07-10”),661.820,661.82],[new Date(“2016-07-11”),661.578,661.58],[new Date(“2016-07-12”),660.716,660.72],[new Date(“2016-07-13”),657.568,657.57],[new Date(“2016-07-14”),654.235,654.24],[new Date(“2016-07-15”),654.600,654.60],[new Date(“2016-07-16”),654.600,654.60],[new Date(“2016-07-17”),654.600,654.60],[new Date(“2016-07-18”),647.900,647.90],[new Date(“2016-07-19”),651.900,651.90],[new Date(“2016-07-20”),651.800,651.80],[new Date(“2016-07-21”),650.400,650.40],[new Date(“2016-07-22”),650.200,650.20],[new Date(“2016-07-23”),650.200,650.20],[new Date(“2016-07-24”),650.400,650.40],[new Date(“2016-07-25”),658.800,658.80],[new Date(“2016-07-26”),659.700,659.70],[new Date(“2016-07-27”),665.900,665.90],[new Date(“2016-07-28”),663.800,663.80],[new Date(“2016-07-29”),654.840,654.84],[new Date(“2016-07-30”),654.840,654.84],[new Date(“2016-07-31″),654.840,654.84],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘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
01 690.8467
02 690.0352
↗0.812, 0.12%
03 685.0948
↗4.940, 0.72%
04 685.0002
↗0.095, 0.01%
05 685.1002
↘0.100, 0.01%
06 680.6870
↗4.413, 0.64%
07 679.1196
↗1.567, 0.23%
08 675.6601
↗3.459, 0.51%
09 679.3261
↘3.666, 0.54%
10 678.3368
↗0.989, 0.15%
11 678.3426
↘0.006, 0.00%
12 679.6525
↘1.310, 0.19%
13 682.4660
↘2.813, 0.41%
14 687.2735
↘4.808, 0.70%
15 685.9693
↗1.304, 0.19%
16 688.6673
↘2.698, 0.39%
17 685.7697
↗2.898, 0.42%
18 685.2740
↗0.496, 0.07%
19 685.7820
↘0.508, 0.07%
20 682.9740
↗2.808, 0.41%
21 679.7331
↗3.241, 0.47%
22 674.5694
↗5.164, 0.76%
23 674.1343
↗0.435, 0.06%
24 674.9120
↘0.778, 0.12%
25 675.7925
↘0.880, 0.13%
26 671.7250
↗4.068, 0.60%
27 678.5950
↘6.870, 1.02%
28 676.6526
↗1.942, 0.29%
29 672.3594
↗4.293, 0.63%
30 664.8400
↗7.519, 1.12%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),690.847,690.85],[new Date(“2016-06-02”),690.035,690.04],[new Date(“2016-06-03”),685.095,685.09],[new Date(“2016-06-04”),685.000,685.00],[new Date(“2016-06-05”),685.100,685.10],[new Date(“2016-06-06”),680.687,680.69],[new Date(“2016-06-07”),679.120,679.12],[new Date(“2016-06-08”),675.660,675.66],[new Date(“2016-06-09”),679.326,679.33],[new Date(“2016-06-10”),678.337,678.34],[new Date(“2016-06-11”),678.343,678.34],[new Date(“2016-06-12”),679.653,679.65],[new Date(“2016-06-13”),682.466,682.47],[new Date(“2016-06-14”),687.274,687.27],[new Date(“2016-06-15”),685.969,685.97],[new Date(“2016-06-16”),688.667,688.67],[new Date(“2016-06-17”),685.770,685.77],[new Date(“2016-06-18”),685.274,685.27],[new Date(“2016-06-19”),685.782,685.78],[new Date(“2016-06-20”),682.974,682.97],[new Date(“2016-06-21”),679.733,679.73],[new Date(“2016-06-22”),674.569,674.57],[new Date(“2016-06-23”),674.134,674.13],[new Date(“2016-06-24”),674.912,674.91],[new Date(“2016-06-25”),675.793,675.79],[new Date(“2016-06-26”),671.725,671.73],[new Date(“2016-06-27”),678.595,678.60],[new Date(“2016-06-28”),676.653,676.65],[new Date(“2016-06-29”),672.359,672.36],[new Date(“2016-06-30″),664.840,664.84],]);var options = {
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
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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”),690.847,690.85],[new Date(“2016-06-02”),690.035,690.04],[new Date(“2016-06-03”),685.095,685.09],[new Date(“2016-06-04”),685.000,685.00],[new Date(“2016-06-05”),685.100,685.10],[new Date(“2016-06-06”),680.687,680.69],[new Date(“2016-06-07”),679.120,679.12],[new Date(“2016-06-08”),675.660,675.66],[new Date(“2016-06-09”),679.326,679.33],[new Date(“2016-06-10”),678.337,678.34],[new Date(“2016-06-11”),678.343,678.34],[new Date(“2016-06-12”),679.653,679.65],[new Date(“2016-06-13”),682.466,682.47],[new Date(“2016-06-14”),687.274,687.27],[new Date(“2016-06-15”),685.969,685.97],[new Date(“2016-06-16”),688.667,688.67],[new Date(“2016-06-17”),685.770,685.77],[new Date(“2016-06-18”),685.274,685.27],[new Date(“2016-06-19”),685.782,685.78],[new Date(“2016-06-20”),682.974,682.97],[new Date(“2016-06-21”),679.733,679.73],[new Date(“2016-06-22”),674.569,674.57],[new Date(“2016-06-23”),674.134,674.13],[new Date(“2016-06-24”),674.912,674.91],[new Date(“2016-06-25”),675.793,675.79],[new Date(“2016-06-26”),671.725,671.73],[new Date(“2016-06-27”),678.595,678.60],[new Date(“2016-06-28”),676.653,676.65],[new Date(“2016-06-29”),672.359,672.36],[new Date(“2016-06-30″),664.840,664.84],]);var options = {
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
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May, 2016
01 659.7349
02 661.3130
↘1.578, 0.24%
03 662.8208
↘1.508, 0.23%
04 668.5224
↘5.702, 0.86%
05 666.4784
↗2.044, 0.31%
06 666.2951
↗0.183, 0.03%
07 666.6537
↘0.359, 0.05%
08 665.7030
↗0.951, 0.14%
09 669.6750
↘3.972, 0.60%
10 677.1922
↘7.517, 1.12%
11 677.5465
↘0.354, 0.05%
12 681.9837
↘4.437, 0.65%
13 687.8876
↘5.904, 0.87%
14 688.8975
↘1.010, 0.15%
15 688.9035
↘0.006, 0.00%
16 689.2015
↘0.298, 0.04%
17 688.4815
↗0.720, 0.10%
18 691.5175
↘3.036, 0.44%
19 691.4715
↗0.046, 0.01%
20 692.8347
↘1.363, 0.20%
21 693.0049
↘0.170, 0.02%
22 693.0949
↘0.090, 0.01%
23 693.6090
↘0.514, 0.07%
24 694.7504
↘1.141, 0.16%
25 691.7883
↗2.962, 0.43%
26 689.2724
↗2.516, 0.36%
27 688.3727
↗0.900, 0.13%
28 687.6983
↗0.674, 0.10%
29 687.0550
↗0.643, 0.09%
30 688.4810
↘1.426, 0.21%
31 689.4963
↘1.015, 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”),659.735,659.73],[new Date(“2016-05-02”),661.313,661.31],[new Date(“2016-05-03”),662.821,662.82],[new Date(“2016-05-04”),668.522,668.52],[new Date(“2016-05-05”),666.478,666.48],[new Date(“2016-05-06”),666.295,666.30],[new Date(“2016-05-07”),666.654,666.65],[new Date(“2016-05-08”),665.703,665.70],[new Date(“2016-05-09”),669.675,669.67],[new Date(“2016-05-10”),677.192,677.19],[new Date(“2016-05-11”),677.546,677.55],[new Date(“2016-05-12”),681.984,681.98],[new Date(“2016-05-13”),687.888,687.89],[new Date(“2016-05-14”),688.897,688.90],[new Date(“2016-05-15”),688.903,688.90],[new Date(“2016-05-16”),689.201,689.20],[new Date(“2016-05-17”),688.481,688.48],[new Date(“2016-05-18”),691.518,691.52],[new Date(“2016-05-19”),691.471,691.47],[new Date(“2016-05-20”),692.835,692.83],[new Date(“2016-05-21”),693.005,693.00],[new Date(“2016-05-22”),693.095,693.09],[new Date(“2016-05-23”),693.609,693.61],[new Date(“2016-05-24”),694.750,694.75],[new Date(“2016-05-25”),691.788,691.79],[new Date(“2016-05-26”),689.272,689.27],[new Date(“2016-05-27”),688.373,688.37],[new Date(“2016-05-28”),687.698,687.70],[new Date(“2016-05-29”),687.055,687.05],[new Date(“2016-05-30”),688.481,688.48],[new Date(“2016-05-31″),689.496,689.50],]);var options = {
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var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
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April, 2016
01 671.0611
02 668.9750
↗2.086, 0.31%
03 669.3530
↘0.378, 0.06%
04 671.2590
↘1.906, 0.28%
05 672.6611
↘1.402, 0.21%
06 673.9929
↘1.332, 0.20%
07 680.5804
↘6.588, 0.98%
08 681.9805
↘1.400, 0.21%
09 682.6128
↘0.632, 0.09%
10 683.3490
↘0.736, 0.11%
11 680.7490
↗2.600, 0.38%
12 674.6846
↗6.064, 0.89%
13 672.6362
↗2.048, 0.30%
14 667.1991
↗5.437, 0.81%
15 666.4981
↗0.701, 0.11%
16 665.6421
↗0.856, 0.13%
17 665.5301
↗0.112, 0.02%
18 664.6990
↗0.831, 0.12%
19 661.6387
↗3.060, 0.46%
20 659.8892
↗1.750, 0.26%
21 661.8284
↘1.939, 0.29%
22 667.1543
↘5.326, 0.80%
23 667.1675
↘0.013, 0.00%
24 668.2860
↘1.118, 0.17%
25 669.3930
↘1.107, 0.17%
26 669.3828
↗0.010, 0.00%
27 667.4463
↗1.936, 0.29%
28 665.1594
↗2.287, 0.34%
29 661.6061
↗3.553, 0.53%
30 660.9678
↗0.638, 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(“2016-04-01”),671.061,671.06],[new Date(“2016-04-02”),668.975,668.98],[new Date(“2016-04-03”),669.353,669.35],[new Date(“2016-04-04”),671.259,671.26],[new Date(“2016-04-05”),672.661,672.66],[new Date(“2016-04-06”),673.993,673.99],[new Date(“2016-04-07”),680.580,680.58],[new Date(“2016-04-08”),681.981,681.98],[new Date(“2016-04-09”),682.613,682.61],[new Date(“2016-04-10”),683.349,683.35],[new Date(“2016-04-11”),680.749,680.75],[new Date(“2016-04-12”),674.685,674.68],[new Date(“2016-04-13”),672.636,672.64],[new Date(“2016-04-14”),667.199,667.20],[new Date(“2016-04-15”),666.498,666.50],[new Date(“2016-04-16”),665.642,665.64],[new Date(“2016-04-17”),665.530,665.53],[new Date(“2016-04-18”),664.699,664.70],[new Date(“2016-04-19”),661.639,661.64],[new Date(“2016-04-20”),659.889,659.89],[new Date(“2016-04-21”),661.828,661.83],[new Date(“2016-04-22”),667.154,667.15],[new Date(“2016-04-23”),667.167,667.17],[new Date(“2016-04-24”),668.286,668.29],[new Date(“2016-04-25”),669.393,669.39],[new Date(“2016-04-26”),669.383,669.38],[new Date(“2016-04-27”),667.446,667.45],[new Date(“2016-04-28”),665.159,665.16],[new Date(“2016-04-29”),661.606,661.61],[new Date(“2016-04-30″),660.968,660.97],]);var options = {
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chart.draw(data, options);
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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”),671.061,671.06],[new Date(“2016-04-02”),668.975,668.98],[new Date(“2016-04-03”),669.353,669.35],[new Date(“2016-04-04”),671.259,671.26],[new Date(“2016-04-05”),672.661,672.66],[new Date(“2016-04-06”),673.993,673.99],[new Date(“2016-04-07”),680.580,680.58],[new Date(“2016-04-08”),681.981,681.98],[new Date(“2016-04-09”),682.613,682.61],[new Date(“2016-04-10”),683.349,683.35],[new Date(“2016-04-11”),680.749,680.75],[new Date(“2016-04-12”),674.685,674.68],[new Date(“2016-04-13”),672.636,672.64],[new Date(“2016-04-14”),667.199,667.20],[new Date(“2016-04-15”),666.498,666.50],[new Date(“2016-04-16”),665.642,665.64],[new Date(“2016-04-17”),665.530,665.53],[new Date(“2016-04-18”),664.699,664.70],[new Date(“2016-04-19”),661.639,661.64],[new Date(“2016-04-20”),659.889,659.89],[new Date(“2016-04-21”),661.828,661.83],[new Date(“2016-04-22”),667.154,667.15],[new Date(“2016-04-23”),667.167,667.17],[new Date(“2016-04-24”),668.286,668.29],[new Date(“2016-04-25”),669.393,669.39],[new Date(“2016-04-26”),669.383,669.38],[new Date(“2016-04-27”),667.446,667.45],[new Date(“2016-04-28”),665.159,665.16],[new Date(“2016-04-29”),661.606,661.61],[new Date(“2016-04-30″),660.968,660.97],]);var options = {
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}
March, 2016
01 693.6274
02 688.3659
↗5.261, 0.76%
03 686.3420
↗2.024, 0.29%
04 682.2066
↗4.135, 0.60%
05 681.3945
↗0.812, 0.12%
06 681.8950
↘0.500, 0.07%
07 680.6050
↗1.290, 0.19%
08 681.8832
↘1.278, 0.19%
09 678.9544
↗2.929, 0.43%
10 679.0618
↘0.107, 0.02%
11 677.7060
↗1.356, 0.20%
12 676.5007
↗1.205, 0.18%
13 677.2130
↘0.712, 0.11%
14 679.0080
↘1.795, 0.27%
15 684.7353
↘5.727, 0.84%
16 684.6374
↗0.098, 0.01%
17 674.7551
↗9.882, 1.44%
18 675.6257
↘0.871, 0.13%
19 675.1309
↗0.495, 0.07%
20 673.6520
↗1.479, 0.22%
21 675.4950
↘1.843, 0.27%
22 673.6206
↗1.874, 0.28%
23 677.9107
↘4.290, 0.64%
24 681.0519
↘3.141, 0.46%
25 679.2631
↗1.789, 0.26%
26 681.3253
↘2.062, 0.30%
27 681.3090
↗0.016, 0.00%
28 679.5080
↗1.801, 0.26%
29 679.7311
↘0.223, 0.03%
30 676.7355
↗2.996, 0.44%
31 670.5830
↗6.152, 0.91%
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”),693.627,693.63],[new Date(“2016-03-02”),688.366,688.37],[new Date(“2016-03-03”),686.342,686.34],[new Date(“2016-03-04”),682.207,682.21],[new Date(“2016-03-05”),681.395,681.39],[new Date(“2016-03-06”),681.895,681.90],[new Date(“2016-03-07”),680.605,680.60],[new Date(“2016-03-08”),681.883,681.88],[new Date(“2016-03-09”),678.954,678.95],[new Date(“2016-03-10”),679.062,679.06],[new Date(“2016-03-11”),677.706,677.71],[new Date(“2016-03-12”),676.501,676.50],[new Date(“2016-03-13”),677.213,677.21],[new Date(“2016-03-14”),679.008,679.01],[new Date(“2016-03-15”),684.735,684.74],[new Date(“2016-03-16”),684.637,684.64],[new Date(“2016-03-17”),674.755,674.76],[new Date(“2016-03-18”),675.626,675.63],[new Date(“2016-03-19”),675.131,675.13],[new Date(“2016-03-20”),673.652,673.65],[new Date(“2016-03-21”),675.495,675.49],[new Date(“2016-03-22”),673.621,673.62],[new Date(“2016-03-23”),677.911,677.91],[new Date(“2016-03-24”),681.052,681.05],[new Date(“2016-03-25”),679.263,679.26],[new Date(“2016-03-26”),681.325,681.33],[new Date(“2016-03-27”),681.309,681.31],[new Date(“2016-03-28”),679.508,679.51],[new Date(“2016-03-29”),679.731,679.73],[new Date(“2016-03-30”),676.735,676.74],[new Date(“2016-03-31″),670.583,670.58],]);var options = {
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
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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”),693.627,693.63],[new Date(“2016-03-02”),688.366,688.37],[new Date(“2016-03-03”),686.342,686.34],[new Date(“2016-03-04”),682.207,682.21],[new Date(“2016-03-05”),681.395,681.39],[new Date(“2016-03-06”),681.895,681.90],[new Date(“2016-03-07”),680.605,680.60],[new Date(“2016-03-08”),681.883,681.88],[new Date(“2016-03-09”),678.954,678.95],[new Date(“2016-03-10”),679.062,679.06],[new Date(“2016-03-11”),677.706,677.71],[new Date(“2016-03-12”),676.501,676.50],[new Date(“2016-03-13”),677.213,677.21],[new Date(“2016-03-14”),679.008,679.01],[new Date(“2016-03-15”),684.735,684.74],[new Date(“2016-03-16”),684.637,684.64],[new Date(“2016-03-17”),674.755,674.76],[new Date(“2016-03-18”),675.626,675.63],[new Date(“2016-03-19”),675.131,675.13],[new Date(“2016-03-20”),673.652,673.65],[new Date(“2016-03-21”),675.495,675.49],[new Date(“2016-03-22”),673.621,673.62],[new Date(“2016-03-23”),677.911,677.91],[new Date(“2016-03-24”),681.052,681.05],[new Date(“2016-03-25”),679.263,679.26],[new Date(“2016-03-26”),681.325,681.33],[new Date(“2016-03-27”),681.309,681.31],[new Date(“2016-03-28”),679.508,679.51],[new Date(“2016-03-29”),679.731,679.73],[new Date(“2016-03-30”),676.735,676.74],[new Date(“2016-03-31″),670.583,670.58],]);var options = {
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February, 2016
01 711.7410
02 713.5412
↘1.800, 0.25%
03 706.5180
↗7.023, 0.98%
04 699.5735
↗6.944, 0.98%
05 704.3004
↘4.727, 0.68%
06 704.4605
↘0.160, 0.02%
07 705.2490
↘0.788, 0.11%
08 710.6670
↘5.418, 0.77%
09 712.9740
↘2.307, 0.32%
10 713.1045
↘0.130, 0.02%
11 713.1347
↘0.030, 0.00%
12 706.5236
↗6.611, 0.93%
13 705.8567
↗0.667, 0.09%
14 706.0466
↘0.190, 0.03%
15 703.9330
↗2.114, 0.30%
16 707.9160
↘3.983, 0.57%
17 701.8384
↗6.078, 0.86%
18 702.9143
↘1.076, 0.15%
19 699.9556
↗2.959, 0.42%
20 700.1631
↘0.207, 0.03%
21 700.6570
↘0.494, 0.07%
22 693.4710
↗7.186, 1.03%
23 695.8970
↘2.426, 0.35%
24 693.5729
↗2.324, 0.33%
25 691.8933
↗1.680, 0.24%
26 692.8940
↘1.001, 0.14%
27 692.6293
↗0.265, 0.04%
28 693.1971
↘0.568, 0.08%
29 695.8550
↘2.658, 0.38%
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”);
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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January, 2016
01 708.9393
02 708.6413
↗0.298, 0.04%
03 708.5432
↗0.098, 0.01%
04 715.4870
↘6.944, 0.98%
05 714.3248
↗1.162, 0.16%
06 715.1278
↘0.803, 0.11%
07 720.3649
↘5.237, 0.73%
08 726.1164
↘5.751, 0.80%
09 727.2509
↘1.135, 0.16%
10 728.2283
↘0.977, 0.13%
11 731.0830
↘2.855, 0.39%
12 730.6658
↗0.417, 0.06%
13 727.3392
↗3.327, 0.46%
14 724.9125
↗2.427, 0.33%
15 731.0181
↘6.106, 0.84%
16 732.0272
↘1.009, 0.14%
17 732.2135
↘0.186, 0.03%
18 730.5130
↗1.700, 0.23%
19 727.3270
↗3.186, 0.44%
20 728.5050
↘1.178, 0.16%
21 725.6451
↗2.860, 0.39%
22 718.4117
↗7.233, 1.00%
23 716.8739
↗1.538, 0.21%
24 717.1763
↘0.302, 0.04%
25 721.6760
↘4.500, 0.63%
26 717.9814
↗3.695, 0.51%
27 716.1289
↗1.852, 0.26%
28 712.0945
↗4.034, 0.56%
29 713.0746
↘0.980, 0.14%
30 712.6761
↗0.399, 0.06%
31 713.0773
↘0.401, 0.06%
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