Chilean Peso CLP 2019 Conversion Rates
- Opening Value is 693.999782 CLP per Dollar
- Closing Value is 739.403125 CLP per Dollar
- Change in Value during 2019 is 45.4033 which is 6.54%
- Best Performance is on 2019-02-26 with 648.103082 CLP per Dollar
- Lowest Performance is on 2019-11-29,2019-11-30 with 857.903912 CLP per Dollar
- Average Value is 703.6011 CLP per Dollar
- Swing Between the higest and the lowest is 209.8008 per Dollar, that is 30.23% compared to the opening value.
USD to CLP Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2019-12-31 | 739.4031 CLP |
| 2019-11-30 | 857.9039 CLP |
| 2019-10-31 | 744.1041 CLP |
| 2019-09-30 | 728.6197 CLP |
| 2019-08-31 | 721.2850 CLP |
| 2019-07-31 | 703.6050 CLP |
| 2019-06-30 | 677.8050 CLP |
| 2019-05-31 | 709.6804 CLP |
| 2019-04-30 | 677.6977 CLP |
| 2019-03-31 | 680.4992 CLP |
| 2019-02-28 | 655.7948 CLP |
| 2019-01-31 | 662.6700 CLP |
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December, 2019
01 857.8927
02 803.8111
↗54.082, 6.30%
03 803.5009
↗0.310, 0.04%
04 787.4973
↗16.004, 1.99%
05 783.1770
↗4.320, 0.55%
06 777.7039
↗5.473, 0.70%
07 777.7039
→0.000, 0.00%
08 777.6990
↗0.005, 0.00%
09 777.7498
↘0.051, 0.01%
10 779.0978
↘1.348, 0.17%
11 770.0000
↗9.098, 1.17%
12 768.4012
↗1.599, 0.21%
13 764.4039
↗3.997, 0.52%
14 764.4039
→0.000, 0.00%
15 764.4016
↗0.002, 0.00%
16 761.5016
↗2.900, 0.38%
17 757.7028
↗3.799, 0.50%
18 751.7076
↗5.995, 0.79%
19 754.3017
↘2.594, 0.35%
20 756.9039
↘2.602, 0.34%
21 756.9039
→0.000, 0.00%
22 756.9050
↘0.001, 0.00%
23 753.0980
↗3.807, 0.50%
24 749.7962
↗3.302, 0.44%
25 752.1026
↘2.306, 0.31%
26 747.0004
↗5.102, 0.68%
27 748.9039
↘1.904, 0.25%
28 748.9039
→0.000, 0.00%
29 748.9010
↗0.003, 0.00%
30 732.7178
↗16.183, 2.16%
31 739.4031
↘6.685, 0.91%
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November, 2019
01 742.4039
02 742.4039
→0.000, 0.00%
03 743.7988
↘1.395, 0.19%
04 742.8831
↗0.916, 0.12%
05 749.1039
↘6.221, 0.84%
06 742.0978
↗7.006, 0.94%
07 742.7945
↘0.697, 0.09%
08 749.0004
↘6.206, 0.84%
09 749.0004
→0.000, 0.00%
10 749.0001
↗0.000, 0.00%
11 762.2656
↘13.266, 1.77%
12 780.4954
↘18.230, 2.39%
13 795.5032
↘15.008, 1.92%
14 803.3992
↘7.896, 0.99%
15 775.4039
↗27.995, 3.48%
16 775.4039
→0.000, 0.00%
17 775.3997
↗0.004, 0.00%
18 776.6156
↘1.216, 0.16%
19 789.5943
↘12.979, 1.67%
20 792.8025
↘3.208, 0.41%
21 797.7966
↘4.994, 0.63%
22 800.1039
↘2.307, 0.29%
23 800.1039
→0.000, 0.00%
24 801.5975
↘1.494, 0.19%
25 828.7893
↘27.192, 3.39%
26 798.6973
↗30.092, 3.63%
27 819.2018
↘20.504, 2.57%
28 828.8998
↘9.698, 1.18%
29 857.9039
↘29.004, 3.50%
30 857.9039
→0.000, 0.00%
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October, 2019
01 729.3950
02 724.8050
↗4.590, 0.63%
03 716.6104
↗8.195, 1.13%
04 715.3039
↗1.307, 0.18%
05 715.3039
→0.000, 0.00%
06 714.9850
↗0.319, 0.04%
07 718.9198
↘3.935, 0.55%
08 724.6902
↘5.770, 0.80%
09 724.0050
↗0.685, 0.09%
10 719.0000
↗5.005, 0.69%
11 710.5050
↗8.495, 1.18%
12 710.5050
→0.000, 0.00%
13 710.5003
↗0.005, 0.00%
14 714.5054
↘4.005, 0.56%
15 715.9996
↘1.494, 0.21%
16 717.0971
↘1.097, 0.15%
17 711.7044
↗5.393, 0.75%
18 710.7039
↗1.001, 0.14%
19 710.7039
→0.000, 0.00%
20 711.3019
↘0.598, 0.08%
21 726.2003
↘14.898, 2.09%
22 725.1934
↗1.007, 0.14%
23 726.5011
↘1.308, 0.18%
24 724.6987
↗1.802, 0.25%
25 727.0004
↘2.302, 0.32%
26 727.0004
→0.000, 0.00%
27 728.6955
↘1.695, 0.23%
28 724.6987
↗3.997, 0.55%
29 728.5851
↘3.886, 0.54%
30 741.8063
↘13.221, 1.81%
31 744.1041
↘2.298, 0.31%
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September, 2019
01 721.7034
02 725.4950
↘3.792, 0.53%
03 725.2950
↗0.200, 0.03%
04 723.1955
↗2.100, 0.29%
05 715.2817
↗7.914, 1.09%
06 711.6950
↗3.587, 0.50%
07 711.6950
→0.000, 0.00%
08 711.7050
↘0.010, 0.00%
09 715.0050
↘3.300, 0.46%
10 712.4150
↗2.590, 0.36%
11 715.8964
↘3.481, 0.49%
12 708.9850
↗6.911, 0.97%
13 707.5050
↗1.480, 0.21%
14 707.5050
→0.000, 0.00%
15 707.2020
↗0.303, 0.04%
16 710.0001
↘2.798, 0.40%
17 715.6022
↘5.602, 0.79%
18 716.0950
↘0.493, 0.07%
19 716.2050
↘0.110, 0.02%
20 717.7050
↘1.500, 0.21%
21 717.7050
→0.000, 0.00%
22 717.6011
↗0.104, 0.01%
23 721.6898
↘4.089, 0.57%
24 723.7050
↘2.015, 0.28%
25 727.3950
↘3.690, 0.51%
26 727.2016
↗0.193, 0.03%
27 726.2850
↗0.917, 0.13%
28 726.2850
→0.000, 0.00%
29 726.2050
↗0.080, 0.01%
30 728.6197
↘2.415, 0.33%
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”),721.703,721.70],[new Date(“2019-09-02”),725.495,725.49],[new Date(“2019-09-03”),725.295,725.30],[new Date(“2019-09-04”),723.195,723.20],[new Date(“2019-09-05”),715.282,715.28],[new Date(“2019-09-06”),711.695,711.70],[new Date(“2019-09-07”),711.695,711.70],[new Date(“2019-09-08”),711.705,711.71],[new Date(“2019-09-09”),715.005,715.01],[new Date(“2019-09-10”),712.415,712.41],[new Date(“2019-09-11”),715.896,715.90],[new Date(“2019-09-12”),708.985,708.98],[new Date(“2019-09-13”),707.505,707.51],[new Date(“2019-09-14”),707.505,707.51],[new Date(“2019-09-15”),707.202,707.20],[new Date(“2019-09-16”),710.000,710.00],[new Date(“2019-09-17”),715.602,715.60],[new Date(“2019-09-18”),716.095,716.10],[new Date(“2019-09-19”),716.205,716.21],[new Date(“2019-09-20”),717.705,717.71],[new Date(“2019-09-21”),717.705,717.71],[new Date(“2019-09-22”),717.601,717.60],[new Date(“2019-09-23”),721.690,721.69],[new Date(“2019-09-24”),723.705,723.70],[new Date(“2019-09-25”),727.395,727.39],[new Date(“2019-09-26”),727.202,727.20],[new Date(“2019-09-27”),726.285,726.29],[new Date(“2019-09-28”),726.285,726.29],[new Date(“2019-09-29”),726.205,726.20],[new Date(“2019-09-30″),728.620,728.62],]);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_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(“2019-09-01”),721.703,721.70],[new Date(“2019-09-02”),725.495,725.49],[new Date(“2019-09-03”),725.295,725.30],[new Date(“2019-09-04”),723.195,723.20],[new Date(“2019-09-05”),715.282,715.28],[new Date(“2019-09-06”),711.695,711.70],[new Date(“2019-09-07”),711.695,711.70],[new Date(“2019-09-08”),711.705,711.71],[new Date(“2019-09-09”),715.005,715.01],[new Date(“2019-09-10”),712.415,712.41],[new Date(“2019-09-11”),715.896,715.90],[new Date(“2019-09-12”),708.985,708.98],[new Date(“2019-09-13”),707.505,707.51],[new Date(“2019-09-14”),707.505,707.51],[new Date(“2019-09-15”),707.202,707.20],[new Date(“2019-09-16”),710.000,710.00],[new Date(“2019-09-17”),715.602,715.60],[new Date(“2019-09-18”),716.095,716.10],[new Date(“2019-09-19”),716.205,716.21],[new Date(“2019-09-20”),717.705,717.71],[new Date(“2019-09-21”),717.705,717.71],[new Date(“2019-09-22”),717.601,717.60],[new Date(“2019-09-23”),721.690,721.69],[new Date(“2019-09-24”),723.705,723.70],[new Date(“2019-09-25”),727.395,727.39],[new Date(“2019-09-26”),727.202,727.20],[new Date(“2019-09-27”),726.285,726.29],[new Date(“2019-09-28”),726.285,726.29],[new Date(“2019-09-29”),726.205,726.20],[new Date(“2019-09-30″),728.620,728.62],]);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_9’));
chart.draw(data, options);
}
August, 2019
01 706.4950
02 713.1050
↘6.610, 0.94%
03 713.1050
→0.000, 0.00%
04 713.6050
↘0.500, 0.07%
05 721.1880
↘7.583, 1.06%
06 714.7950
↗6.393, 0.89%
07 714.2950
↗0.500, 0.07%
08 709.9999
↗4.295, 0.60%
09 710.1204
↘0.120, 0.02%
10 710.1204
→0.000, 0.00%
11 710.0900
↗0.030, 0.00%
12 713.9550
↘3.865, 0.54%
13 704.0850
↗9.870, 1.38%
14 711.3050
↘7.220, 1.03%
15 710.9050
↗0.400, 0.06%
16 708.0950
↗2.810, 0.40%
17 708.0950
→0.000, 0.00%
18 708.3050
↘0.210, 0.03%
19 713.2050
↘4.900, 0.69%
20 709.1988
↗4.006, 0.56%
21 711.5002
↘2.301, 0.32%
22 715.2950
↘3.795, 0.53%
23 719.6950
↘4.400, 0.62%
24 703.2550
↗16.440, 2.28%
25 703.0950
↗0.160, 0.02%
26 719.9301
↘16.835, 2.39%
27 723.2099
↘3.280, 0.46%
28 723.6750
↘0.465, 0.06%
29 720.8950
↗2.780, 0.38%
30 721.2850
↘0.390, 0.05%
31 721.2850
→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”),706.495,706.50],[new Date(“2019-08-02”),713.105,713.11],[new Date(“2019-08-03”),713.105,713.11],[new Date(“2019-08-04”),713.605,713.61],[new Date(“2019-08-05”),721.188,721.19],[new Date(“2019-08-06”),714.795,714.80],[new Date(“2019-08-07”),714.295,714.30],[new Date(“2019-08-08”),710.000,710.00],[new Date(“2019-08-09”),710.120,710.12],[new Date(“2019-08-10”),710.120,710.12],[new Date(“2019-08-11”),710.090,710.09],[new Date(“2019-08-12”),713.955,713.96],[new Date(“2019-08-13”),704.085,704.08],[new Date(“2019-08-14”),711.305,711.31],[new Date(“2019-08-15”),710.905,710.90],[new Date(“2019-08-16”),708.095,708.10],[new Date(“2019-08-17”),708.095,708.10],[new Date(“2019-08-18”),708.305,708.31],[new Date(“2019-08-19”),713.205,713.21],[new Date(“2019-08-20”),709.199,709.20],[new Date(“2019-08-21”),711.500,711.50],[new Date(“2019-08-22”),715.295,715.30],[new Date(“2019-08-23”),719.695,719.70],[new Date(“2019-08-24”),703.255,703.26],[new Date(“2019-08-25”),703.095,703.09],[new Date(“2019-08-26”),719.930,719.93],[new Date(“2019-08-27”),723.210,723.21],[new Date(“2019-08-28”),723.675,723.67],[new Date(“2019-08-29”),720.895,720.89],[new Date(“2019-08-30”),721.285,721.29],[new Date(“2019-08-31″),721.285,721.29],]);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_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(“2019-08-01”),706.495,706.50],[new Date(“2019-08-02”),713.105,713.11],[new Date(“2019-08-03”),713.105,713.11],[new Date(“2019-08-04”),713.605,713.61],[new Date(“2019-08-05”),721.188,721.19],[new Date(“2019-08-06”),714.795,714.80],[new Date(“2019-08-07”),714.295,714.30],[new Date(“2019-08-08”),710.000,710.00],[new Date(“2019-08-09”),710.120,710.12],[new Date(“2019-08-10”),710.120,710.12],[new Date(“2019-08-11”),710.090,710.09],[new Date(“2019-08-12”),713.955,713.96],[new Date(“2019-08-13”),704.085,704.08],[new Date(“2019-08-14”),711.305,711.31],[new Date(“2019-08-15”),710.905,710.90],[new Date(“2019-08-16”),708.095,708.10],[new Date(“2019-08-17”),708.095,708.10],[new Date(“2019-08-18”),708.305,708.31],[new Date(“2019-08-19”),713.205,713.21],[new Date(“2019-08-20”),709.199,709.20],[new Date(“2019-08-21”),711.500,711.50],[new Date(“2019-08-22”),715.295,715.30],[new Date(“2019-08-23”),719.695,719.70],[new Date(“2019-08-24”),703.255,703.26],[new Date(“2019-08-25”),703.095,703.09],[new Date(“2019-08-26”),719.930,719.93],[new Date(“2019-08-27”),723.210,723.21],[new Date(“2019-08-28”),723.675,723.67],[new Date(“2019-08-29”),720.895,720.89],[new Date(“2019-08-30”),721.285,721.29],[new Date(“2019-08-31″),721.285,721.29],]);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, 2019
01 680.4950
02 680.4050
↗0.090, 0.01%
03 678.4026
↗2.002, 0.29%
04 679.2908
↘0.888, 0.13%
05 684.0050
↘4.714, 0.69%
06 684.0050
→0.000, 0.00%
07 683.9950
↗0.010, 0.00%
08 687.8801
↘3.885, 0.57%
09 688.2950
↘0.415, 0.06%
10 686.0450
↗2.250, 0.33%
11 680.8702
↗5.175, 0.75%
12 679.8104
↗1.060, 0.16%
13 679.8104
→0.000, 0.00%
14 679.8150
↘0.005, 0.00%
15 679.2913
↗0.524, 0.08%
16 682.1150
↘2.824, 0.42%
17 682.0971
↗0.018, 0.00%
18 683.2151
↘1.118, 0.16%
19 688.3039
↘5.089, 0.74%
20 688.3039
→0.000, 0.00%
21 688.2990
↗0.005, 0.00%
22 689.5951
↘1.296, 0.19%
23 691.7018
↘2.107, 0.31%
24 691.5989
↗0.103, 0.01%
25 696.7850
↘5.186, 0.75%
26 695.1950
↗1.590, 0.23%
27 695.1950
→0.000, 0.00%
28 695.0950
↗0.100, 0.01%
29 696.6009
↘1.506, 0.22%
30 699.1989
↘2.598, 0.37%
31 703.6050
↘4.406, 0.63%
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”),680.495,680.49],[new Date(“2019-07-02”),680.405,680.41],[new Date(“2019-07-03”),678.403,678.40],[new Date(“2019-07-04”),679.291,679.29],[new Date(“2019-07-05”),684.005,684.01],[new Date(“2019-07-06”),684.005,684.01],[new Date(“2019-07-07”),683.995,683.99],[new Date(“2019-07-08”),687.880,687.88],[new Date(“2019-07-09”),688.295,688.29],[new Date(“2019-07-10”),686.045,686.04],[new Date(“2019-07-11”),680.870,680.87],[new Date(“2019-07-12”),679.810,679.81],[new Date(“2019-07-13”),679.810,679.81],[new Date(“2019-07-14”),679.815,679.82],[new Date(“2019-07-15”),679.291,679.29],[new Date(“2019-07-16”),682.115,682.11],[new Date(“2019-07-17”),682.097,682.10],[new Date(“2019-07-18”),683.215,683.22],[new Date(“2019-07-19”),688.304,688.30],[new Date(“2019-07-20”),688.304,688.30],[new Date(“2019-07-21”),688.299,688.30],[new Date(“2019-07-22”),689.595,689.60],[new Date(“2019-07-23”),691.702,691.70],[new Date(“2019-07-24”),691.599,691.60],[new Date(“2019-07-25”),696.785,696.78],[new Date(“2019-07-26”),695.195,695.20],[new Date(“2019-07-27”),695.195,695.20],[new Date(“2019-07-28”),695.095,695.10],[new Date(“2019-07-29”),696.601,696.60],[new Date(“2019-07-30”),699.199,699.20],[new Date(“2019-07-31″),703.605,703.61],]);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_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(“2019-07-01”),680.495,680.49],[new Date(“2019-07-02”),680.405,680.41],[new Date(“2019-07-03”),678.403,678.40],[new Date(“2019-07-04”),679.291,679.29],[new Date(“2019-07-05”),684.005,684.01],[new Date(“2019-07-06”),684.005,684.01],[new Date(“2019-07-07”),683.995,683.99],[new Date(“2019-07-08”),687.880,687.88],[new Date(“2019-07-09”),688.295,688.29],[new Date(“2019-07-10”),686.045,686.04],[new Date(“2019-07-11”),680.870,680.87],[new Date(“2019-07-12”),679.810,679.81],[new Date(“2019-07-13”),679.810,679.81],[new Date(“2019-07-14”),679.815,679.82],[new Date(“2019-07-15”),679.291,679.29],[new Date(“2019-07-16”),682.115,682.11],[new Date(“2019-07-17”),682.097,682.10],[new Date(“2019-07-18”),683.215,683.22],[new Date(“2019-07-19”),688.304,688.30],[new Date(“2019-07-20”),688.304,688.30],[new Date(“2019-07-21”),688.299,688.30],[new Date(“2019-07-22”),689.595,689.60],[new Date(“2019-07-23”),691.702,691.70],[new Date(“2019-07-24”),691.599,691.60],[new Date(“2019-07-25”),696.785,696.78],[new Date(“2019-07-26”),695.195,695.20],[new Date(“2019-07-27”),695.195,695.20],[new Date(“2019-07-28”),695.095,695.10],[new Date(“2019-07-29”),696.601,696.60],[new Date(“2019-07-30”),699.199,699.20],[new Date(“2019-07-31″),703.605,703.61],]);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_7’));
chart.draw(data, options);
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June, 2019
01 709.6804
02 709.6950
↘0.015, 0.00%
03 704.0002
↗5.695, 0.80%
04 693.2850
↗10.715, 1.52%
05 692.9950
↗0.290, 0.04%
06 692.6894
↗0.306, 0.04%
07 693.0004
↘0.311, 0.04%
08 693.0004
→0.000, 0.00%
09 693.2104
↘0.210, 0.03%
10 699.8050
↘6.595, 0.95%
11 693.2801
↗6.525, 0.93%
12 695.6975
↘2.417, 0.35%
13 696.2950
↘0.598, 0.09%
14 699.5050
↘3.210, 0.46%
15 699.5050
→0.000, 0.00%
16 699.6050
↘0.100, 0.01%
17 699.5950
↗0.010, 0.00%
18 696.0003
↗3.595, 0.51%
19 691.0950
↗4.905, 0.70%
20 683.9050
↗7.190, 1.04%
21 683.6950
↗0.210, 0.03%
22 683.6950
→0.000, 0.00%
23 683.8950
↘0.200, 0.03%
24 680.7838
↗3.111, 0.45%
25 681.8024
↘1.019, 0.15%
26 678.8937
↗2.909, 0.43%
27 680.2050
↘1.311, 0.19%
28 677.5039
↗2.701, 0.40%
29 677.5039
→0.000, 0.00%
30 677.8050
↘0.301, 0.04%
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(“2019-06-01”),709.680,709.68],[new Date(“2019-06-02”),709.695,709.70],[new Date(“2019-06-03”),704.000,704.00],[new Date(“2019-06-04”),693.285,693.29],[new Date(“2019-06-05”),692.995,693.00],[new Date(“2019-06-06”),692.689,692.69],[new Date(“2019-06-07”),693.000,693.00],[new Date(“2019-06-08”),693.000,693.00],[new Date(“2019-06-09”),693.210,693.21],[new Date(“2019-06-10”),699.805,699.80],[new Date(“2019-06-11”),693.280,693.28],[new Date(“2019-06-12”),695.697,695.70],[new Date(“2019-06-13”),696.295,696.30],[new Date(“2019-06-14”),699.505,699.51],[new Date(“2019-06-15”),699.505,699.51],[new Date(“2019-06-16”),699.605,699.60],[new Date(“2019-06-17”),699.595,699.60],[new Date(“2019-06-18”),696.000,696.00],[new Date(“2019-06-19”),691.095,691.09],[new Date(“2019-06-20”),683.905,683.91],[new Date(“2019-06-21”),683.695,683.70],[new Date(“2019-06-22”),683.695,683.70],[new Date(“2019-06-23”),683.895,683.89],[new Date(“2019-06-24”),680.784,680.78],[new Date(“2019-06-25”),681.802,681.80],[new Date(“2019-06-26”),678.894,678.89],[new Date(“2019-06-27”),680.205,680.20],[new Date(“2019-06-28”),677.504,677.50],[new Date(“2019-06-29”),677.504,677.50],[new Date(“2019-06-30″),677.805,677.81],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
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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(“2019-06-01”),709.680,709.68],[new Date(“2019-06-02”),709.695,709.70],[new Date(“2019-06-03”),704.000,704.00],[new Date(“2019-06-04”),693.285,693.29],[new Date(“2019-06-05”),692.995,693.00],[new Date(“2019-06-06”),692.689,692.69],[new Date(“2019-06-07”),693.000,693.00],[new Date(“2019-06-08”),693.000,693.00],[new Date(“2019-06-09”),693.210,693.21],[new Date(“2019-06-10”),699.805,699.80],[new Date(“2019-06-11”),693.280,693.28],[new Date(“2019-06-12”),695.697,695.70],[new Date(“2019-06-13”),696.295,696.30],[new Date(“2019-06-14”),699.505,699.51],[new Date(“2019-06-15”),699.505,699.51],[new Date(“2019-06-16”),699.605,699.60],[new Date(“2019-06-17”),699.595,699.60],[new Date(“2019-06-18”),696.000,696.00],[new Date(“2019-06-19”),691.095,691.09],[new Date(“2019-06-20”),683.905,683.91],[new Date(“2019-06-21”),683.695,683.70],[new Date(“2019-06-22”),683.695,683.70],[new Date(“2019-06-23”),683.895,683.89],[new Date(“2019-06-24”),680.784,680.78],[new Date(“2019-06-25”),681.802,681.80],[new Date(“2019-06-26”),678.894,678.89],[new Date(“2019-06-27”),680.205,680.20],[new Date(“2019-06-28”),677.504,677.50],[new Date(“2019-06-29”),677.504,677.50],[new Date(“2019-06-30″),677.805,677.81],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}
May, 2019
01 678.7019
02 682.3025
↘3.601, 0.53%
03 677.0050
↗5.297, 0.78%
04 677.0050
→0.000, 0.00%
05 676.7050
↗0.300, 0.04%
06 679.3047
↘2.600, 0.38%
07 684.5969
↘5.292, 0.78%
08 684.1050
↗0.492, 0.07%
09 684.9950
↘0.890, 0.13%
10 686.0004
↘1.005, 0.15%
11 686.0004
→0.000, 0.00%
12 686.6050
↘0.605, 0.09%
13 693.3750
↘6.770, 0.99%
14 692.4034
↗0.972, 0.14%
15 692.3100
↗0.093, 0.01%
16 693.9950
↘1.685, 0.24%
17 697.2050
↘3.210, 0.46%
18 697.2050
→0.000, 0.00%
19 697.3898
↘0.185, 0.03%
20 695.8950
↗1.495, 0.21%
21 695.7986
↗0.096, 0.01%
22 697.5150
↘1.716, 0.25%
23 696.3956
↗1.119, 0.16%
24 693.9204
↗2.475, 0.36%
25 693.9204
→0.000, 0.00%
26 694.0050
↘0.085, 0.01%
27 699.1850
↘5.180, 0.75%
28 707.5030
↘8.318, 1.19%
29 704.8020
↗2.701, 0.38%
30 709.6750
↘4.873, 0.69%
31 709.6804
↘0.005, 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(“2019-05-01”),678.702,678.70],[new Date(“2019-05-02”),682.303,682.30],[new Date(“2019-05-03”),677.005,677.01],[new Date(“2019-05-04”),677.005,677.01],[new Date(“2019-05-05”),676.705,676.71],[new Date(“2019-05-06”),679.305,679.30],[new Date(“2019-05-07”),684.597,684.60],[new Date(“2019-05-08”),684.105,684.10],[new Date(“2019-05-09”),684.995,685.00],[new Date(“2019-05-10”),686.000,686.00],[new Date(“2019-05-11”),686.000,686.00],[new Date(“2019-05-12”),686.605,686.60],[new Date(“2019-05-13”),693.375,693.38],[new Date(“2019-05-14”),692.403,692.40],[new Date(“2019-05-15”),692.310,692.31],[new Date(“2019-05-16”),693.995,694.00],[new Date(“2019-05-17”),697.205,697.21],[new Date(“2019-05-18”),697.205,697.21],[new Date(“2019-05-19”),697.390,697.39],[new Date(“2019-05-20”),695.895,695.89],[new Date(“2019-05-21”),695.799,695.80],[new Date(“2019-05-22”),697.515,697.51],[new Date(“2019-05-23”),696.396,696.40],[new Date(“2019-05-24”),693.920,693.92],[new Date(“2019-05-25”),693.920,693.92],[new Date(“2019-05-26”),694.005,694.00],[new Date(“2019-05-27”),699.185,699.18],[new Date(“2019-05-28”),707.503,707.50],[new Date(“2019-05-29”),704.802,704.80],[new Date(“2019-05-30”),709.675,709.67],[new Date(“2019-05-31″),709.680,709.68],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
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(“2019-05-01”),678.702,678.70],[new Date(“2019-05-02”),682.303,682.30],[new Date(“2019-05-03”),677.005,677.01],[new Date(“2019-05-04”),677.005,677.01],[new Date(“2019-05-05”),676.705,676.71],[new Date(“2019-05-06”),679.305,679.30],[new Date(“2019-05-07”),684.597,684.60],[new Date(“2019-05-08”),684.105,684.10],[new Date(“2019-05-09”),684.995,685.00],[new Date(“2019-05-10”),686.000,686.00],[new Date(“2019-05-11”),686.000,686.00],[new Date(“2019-05-12”),686.605,686.60],[new Date(“2019-05-13”),693.375,693.38],[new Date(“2019-05-14”),692.403,692.40],[new Date(“2019-05-15”),692.310,692.31],[new Date(“2019-05-16”),693.995,694.00],[new Date(“2019-05-17”),697.205,697.21],[new Date(“2019-05-18”),697.205,697.21],[new Date(“2019-05-19”),697.390,697.39],[new Date(“2019-05-20”),695.895,695.89],[new Date(“2019-05-21”),695.799,695.80],[new Date(“2019-05-22”),697.515,697.51],[new Date(“2019-05-23”),696.396,696.40],[new Date(“2019-05-24”),693.920,693.92],[new Date(“2019-05-25”),693.920,693.92],[new Date(“2019-05-26”),694.005,694.00],[new Date(“2019-05-27”),699.185,699.18],[new Date(“2019-05-28”),707.503,707.50],[new Date(“2019-05-29”),704.802,704.80],[new Date(“2019-05-30”),709.675,709.67],[new Date(“2019-05-31″),709.680,709.68],]);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_5’));
chart.draw(data, options);
}
April, 2019
01 668.8189
02 673.3963
↘4.577, 0.68%
03 667.5011
↗5.895, 0.88%
04 665.0977
↗2.403, 0.36%
05 665.3039
↘0.206, 0.03%
06 665.3039
→0.000, 0.00%
07 665.3053
↘0.001, 0.00%
08 663.9998
↗1.306, 0.20%
09 664.6993
↘0.700, 0.11%
10 662.3982
↗2.301, 0.35%
11 663.8981
↘1.500, 0.23%
12 661.1039
↗2.794, 0.42%
13 661.1039
→0.000, 0.00%
14 661.1129
↘0.009, 0.00%
15 660.8695
↗0.243, 0.04%
16 661.8950
↘1.025, 0.16%
17 662.1050
↘0.210, 0.03%
18 662.2400
↘0.135, 0.02%
19 662.2204
↗0.020, 0.00%
20 662.2204
→0.000, 0.00%
21 662.1950
↗0.025, 0.00%
22 664.4702
↘2.275, 0.34%
23 667.8984
↘3.428, 0.52%
24 672.8974
↘4.999, 0.75%
25 674.6850
↘1.788, 0.27%
26 675.1039
↘0.419, 0.06%
27 675.1039
→0.000, 0.00%
28 675.0850
↗0.019, 0.00%
29 678.1800
↘3.095, 0.46%
30 677.6977
↗0.482, 0.07%
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”),668.819,668.82],[new Date(“2019-04-02”),673.396,673.40],[new Date(“2019-04-03”),667.501,667.50],[new Date(“2019-04-04”),665.098,665.10],[new Date(“2019-04-05”),665.304,665.30],[new Date(“2019-04-06”),665.304,665.30],[new Date(“2019-04-07”),665.305,665.31],[new Date(“2019-04-08”),664.000,664.00],[new Date(“2019-04-09”),664.699,664.70],[new Date(“2019-04-10”),662.398,662.40],[new Date(“2019-04-11”),663.898,663.90],[new Date(“2019-04-12”),661.104,661.10],[new Date(“2019-04-13”),661.104,661.10],[new Date(“2019-04-14”),661.113,661.11],[new Date(“2019-04-15”),660.870,660.87],[new Date(“2019-04-16”),661.895,661.90],[new Date(“2019-04-17”),662.105,662.11],[new Date(“2019-04-18”),662.240,662.24],[new Date(“2019-04-19”),662.220,662.22],[new Date(“2019-04-20”),662.220,662.22],[new Date(“2019-04-21”),662.195,662.20],[new Date(“2019-04-22”),664.470,664.47],[new Date(“2019-04-23”),667.898,667.90],[new Date(“2019-04-24”),672.897,672.90],[new Date(“2019-04-25”),674.685,674.69],[new Date(“2019-04-26”),675.104,675.10],[new Date(“2019-04-27”),675.104,675.10],[new Date(“2019-04-28”),675.085,675.09],[new Date(“2019-04-29”),678.180,678.18],[new Date(“2019-04-30″),677.698,677.70],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
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(“2019-04-01”),668.819,668.82],[new Date(“2019-04-02”),673.396,673.40],[new Date(“2019-04-03”),667.501,667.50],[new Date(“2019-04-04”),665.098,665.10],[new Date(“2019-04-05”),665.304,665.30],[new Date(“2019-04-06”),665.304,665.30],[new Date(“2019-04-07”),665.305,665.31],[new Date(“2019-04-08”),664.000,664.00],[new Date(“2019-04-09”),664.699,664.70],[new Date(“2019-04-10”),662.398,662.40],[new Date(“2019-04-11”),663.898,663.90],[new Date(“2019-04-12”),661.104,661.10],[new Date(“2019-04-13”),661.104,661.10],[new Date(“2019-04-14”),661.113,661.11],[new Date(“2019-04-15”),660.870,660.87],[new Date(“2019-04-16”),661.895,661.90],[new Date(“2019-04-17”),662.105,662.11],[new Date(“2019-04-18”),662.240,662.24],[new Date(“2019-04-19”),662.220,662.22],[new Date(“2019-04-20”),662.220,662.22],[new Date(“2019-04-21”),662.195,662.20],[new Date(“2019-04-22”),664.470,664.47],[new Date(“2019-04-23”),667.898,667.90],[new Date(“2019-04-24”),672.897,672.90],[new Date(“2019-04-25”),674.685,674.69],[new Date(“2019-04-26”),675.104,675.10],[new Date(“2019-04-27”),675.104,675.10],[new Date(“2019-04-28”),675.085,675.09],[new Date(“2019-04-29”),678.180,678.18],[new Date(“2019-04-30″),677.698,677.70],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}
March, 2019
01 659.8039
02 659.8039
→0.000, 0.00%
03 659.8027
↗0.001, 0.00%
04 660.2026
↘0.400, 0.06%
05 657.8042
↗2.398, 0.36%
06 660.3033
↘2.499, 0.38%
07 667.8024
↘7.499, 1.14%
08 671.3039
↘3.501, 0.52%
09 671.3039
→0.000, 0.00%
10 667.3050
↗3.999, 0.60%
11 670.7045
↘3.400, 0.51%
12 665.5076
↗5.197, 0.77%
13 668.6950
↘3.187, 0.48%
14 671.7053
↘3.010, 0.45%
15 670.0004
↗1.705, 0.25%
16 670.0004
→0.000, 0.00%
17 670.0003
↗0.000, 0.00%
18 668.2802
↗1.720, 0.26%
19 667.3824
↗0.898, 0.13%
20 662.5015
↗4.881, 0.73%
21 667.5038
↘5.002, 0.76%
22 678.9039
↘11.400, 1.71%
23 671.8250
↗7.079, 1.04%
24 678.9007
↘7.076, 1.05%
25 679.6849
↘0.784, 0.12%
26 680.6019
↘0.917, 0.13%
27 681.4998
↘0.898, 0.13%
28 682.6014
↘1.102, 0.16%
29 680.5039
↗2.098, 0.31%
30 680.5039
→0.000, 0.00%
31 680.4992
↗0.005, 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”),659.804,659.80],[new Date(“2019-03-02”),659.804,659.80],[new Date(“2019-03-03”),659.803,659.80],[new Date(“2019-03-04”),660.203,660.20],[new Date(“2019-03-05”),657.804,657.80],[new Date(“2019-03-06”),660.303,660.30],[new Date(“2019-03-07”),667.802,667.80],[new Date(“2019-03-08”),671.304,671.30],[new Date(“2019-03-09”),671.304,671.30],[new Date(“2019-03-10”),667.305,667.31],[new Date(“2019-03-11”),670.705,670.70],[new Date(“2019-03-12”),665.508,665.51],[new Date(“2019-03-13”),668.695,668.69],[new Date(“2019-03-14”),671.705,671.71],[new Date(“2019-03-15”),670.000,670.00],[new Date(“2019-03-16”),670.000,670.00],[new Date(“2019-03-17”),670.000,670.00],[new Date(“2019-03-18”),668.280,668.28],[new Date(“2019-03-19”),667.382,667.38],[new Date(“2019-03-20”),662.501,662.50],[new Date(“2019-03-21”),667.504,667.50],[new Date(“2019-03-22”),678.904,678.90],[new Date(“2019-03-23”),671.825,671.83],[new Date(“2019-03-24”),678.901,678.90],[new Date(“2019-03-25”),679.685,679.68],[new Date(“2019-03-26”),680.602,680.60],[new Date(“2019-03-27”),681.500,681.50],[new Date(“2019-03-28”),682.601,682.60],[new Date(“2019-03-29”),680.504,680.50],[new Date(“2019-03-30”),680.504,680.50],[new Date(“2019-03-31″),680.499,680.50],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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lineWidth: 4,
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
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(“2019-03-01”),659.804,659.80],[new Date(“2019-03-02”),659.804,659.80],[new Date(“2019-03-03”),659.803,659.80],[new Date(“2019-03-04”),660.203,660.20],[new Date(“2019-03-05”),657.804,657.80],[new Date(“2019-03-06”),660.303,660.30],[new Date(“2019-03-07”),667.802,667.80],[new Date(“2019-03-08”),671.304,671.30],[new Date(“2019-03-09”),671.304,671.30],[new Date(“2019-03-10”),667.305,667.31],[new Date(“2019-03-11”),670.705,670.70],[new Date(“2019-03-12”),665.508,665.51],[new Date(“2019-03-13”),668.695,668.69],[new Date(“2019-03-14”),671.705,671.71],[new Date(“2019-03-15”),670.000,670.00],[new Date(“2019-03-16”),670.000,670.00],[new Date(“2019-03-17”),670.000,670.00],[new Date(“2019-03-18”),668.280,668.28],[new Date(“2019-03-19”),667.382,667.38],[new Date(“2019-03-20”),662.501,662.50],[new Date(“2019-03-21”),667.504,667.50],[new Date(“2019-03-22”),678.904,678.90],[new Date(“2019-03-23”),671.825,671.83],[new Date(“2019-03-24”),678.901,678.90],[new Date(“2019-03-25”),679.685,679.68],[new Date(“2019-03-26”),680.602,680.60],[new Date(“2019-03-27”),681.500,681.50],[new Date(“2019-03-28”),682.601,682.60],[new Date(“2019-03-29”),680.504,680.50],[new Date(“2019-03-30”),680.504,680.50],[new Date(“2019-03-31″),680.499,680.50],]);var options = {
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title: ‘Conversion Rate’
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
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February, 2019
01 653.9039
02 653.9039
→0.000, 0.00%
03 653.8982
↗0.006, 0.00%
04 652.6012
↗1.297, 0.20%
05 651.4905
↗1.111, 0.17%
06 654.7777
↘3.287, 0.50%
07 658.6014
↘3.824, 0.58%
08 658.1039
↗0.497, 0.08%
09 657.2704
↗0.834, 0.13%
10 658.1015
↘0.831, 0.13%
11 661.9034
↘3.802, 0.58%
12 660.3026
↗1.601, 0.24%
13 663.5983
↘3.296, 0.50%
14 664.3984
↘0.800, 0.12%
15 661.8039
↗2.594, 0.39%
16 661.9039
↘0.100, 0.02%
17 661.9014
↗0.003, 0.00%
18 660.9028
↗0.999, 0.15%
19 655.6018
↗5.301, 0.80%
20 653.1965
↗2.405, 0.37%
21 654.5020
↘1.305, 0.20%
22 651.3039
↗3.198, 0.49%
23 650.8550
↗0.449, 0.07%
24 651.3213
↘0.466, 0.07%
25 650.5971
↗0.724, 0.11%
26 648.1031
↗2.494, 0.38%
27 649.1995
↘1.096, 0.17%
28 655.7948
↘6.595, 1.02%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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January, 2019
01 693.9998
02 696.8205
↘2.821, 0.41%
03 693.7992
↗3.021, 0.43%
04 681.2039
↗12.595, 1.82%
05 681.2039
→0.000, 0.00%
06 681.2020
↗0.002, 0.00%
07 681.2496
↘0.048, 0.01%
08 680.4006
↗0.849, 0.12%
09 676.0001
↗4.401, 0.65%
10 676.0973
↘0.097, 0.01%
11 674.9039
↗1.193, 0.18%
12 674.9039
→0.000, 0.00%
13 674.8987
↗0.005, 0.00%
14 673.6970
↗1.202, 0.18%
15 675.5022
↘1.805, 0.27%
16 669.0005
↗6.502, 0.96%
17 670.5015
↘1.501, 0.22%
18 671.1039
↘0.602, 0.09%
19 671.1039
→0.000, 0.00%
20 671.2023
↘0.098, 0.01%
21 672.2069
↘1.005, 0.15%
22 673.7934
↘1.587, 0.24%
23 672.1980
↗1.595, 0.24%
24 672.1022
↗0.096, 0.01%
25 669.5039
↗2.598, 0.39%
26 666.5204
↗2.984, 0.45%
27 669.4968
↘2.976, 0.45%
28 670.8047
↘1.308, 0.20%
29 667.2923
↗3.512, 0.52%
30 663.8970
↗3.395, 0.51%
31 662.6700
↗1.227, 0.18%
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