Hungarian Forint HUF 2019 Conversion Rates
- Opening Value is 280.269891 HUF per Dollar
- Closing Value is 295.239715 HUF per Dollar
- Change in Value during 2019 is 14.9698 which is 5.34%
- Best Performance is on 2019-03-20 with 274.290097 HUF per Dollar
- Lowest Performance is on 2019-09-30 with 307.301118 HUF per Dollar
- Average Value is 290.6521 HUF per Dollar
- Swing Between the higest and the lowest is 33.0110 per Dollar, that is 11.78% compared to the opening value.
USD to HUF Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2019-12-31 | 295.2397 HUF |
| 2019-11-30 | 303.8650 HUF |
| 2019-10-31 | 294.6280 HUF |
| 2019-09-30 | 307.3011 HUF |
| 2019-08-31 | 301.4804 HUF |
| 2019-07-31 | 294.5299 HUF |
| 2019-06-30 | 284.2950 HUF |
| 2019-05-31 | 290.9204 HUF |
| 2019-04-30 | 288.8150 HUF |
| 2019-03-31 | 286.1203 HUF |
| 2019-02-28 | 277.8504 HUF |
| 2019-01-31 | 275.9501 HUF |
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chart.draw(data, options);
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chart.draw(data, options);
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December, 2019
01 303.7980
02 299.8975
↗3.901, 1.28%
03 299.2920
↗0.605, 0.20%
04 298.7901
↗0.502, 0.17%
05 297.8805
↗0.910, 0.30%
06 299.3640
↘1.484, 0.50%
07 299.3640
→0.000, 0.00%
08 299.2310
↗0.133, 0.04%
09 299.7497
↘0.519, 0.17%
10 298.3400
↗1.410, 0.47%
11 296.6302
↗1.710, 0.57%
12 294.5898
↗2.040, 0.69%
13 296.4504
↘1.861, 0.63%
14 296.4504
→0.000, 0.00%
15 296.1190
↗0.331, 0.11%
16 295.1904
↗0.929, 0.31%
17 296.1298
↘0.939, 0.32%
18 297.5900
↘1.460, 0.49%
19 297.0597
↗0.530, 0.18%
20 298.3125
↘1.253, 0.42%
21 298.3125
→0.000, 0.00%
22 298.3840
↘0.071, 0.02%
23 298.8028
↘0.419, 0.14%
24 299.4189
↘0.616, 0.21%
25 299.3603
↗0.059, 0.02%
26 298.6898
↗0.670, 0.22%
27 295.6804
↗3.009, 1.01%
28 295.6804
→0.000, 0.00%
29 296.2070
↘0.527, 0.18%
30 295.4903
↗0.717, 0.24%
31 295.2397
↗0.251, 0.08%
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November, 2019
01 293.7704
02 293.7304
↗0.040, 0.01%
03 293.8310
↘0.101, 0.03%
04 295.9850
↘2.154, 0.73%
05 299.0301
↘3.045, 1.03%
06 299.8602
↘0.830, 0.28%
07 300.9400
↘1.080, 0.36%
08 302.6804
↘1.740, 0.58%
09 302.6804
→0.000, 0.00%
10 302.6899
↘0.009, 0.00%
11 302.7705
↘0.081, 0.03%
12 304.0398
↘1.269, 0.42%
13 303.3303
↗0.710, 0.23%
14 303.3080
↗0.022, 0.01%
15 302.8440
↗0.464, 0.15%
16 302.7490
↗0.095, 0.03%
17 302.6705
↗0.079, 0.03%
18 302.9270
↘0.257, 0.08%
19 300.3901
↗2.537, 0.84%
20 301.0704
↘0.680, 0.23%
21 302.3550
↘1.285, 0.43%
22 303.6565
↘1.301, 0.43%
23 303.6565
→0.000, 0.00%
24 303.1895
↗0.467, 0.15%
25 305.0960
↘1.907, 0.63%
26 304.8498
↗0.246, 0.08%
27 305.6040
↘0.754, 0.25%
28 305.2299
↗0.374, 0.12%
29 303.9204
↗1.310, 0.43%
30 303.8650
↗0.055, 0.02%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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October, 2019
01 306.8250
02 304.6070
↗2.218, 0.72%
03 302.7220
↗1.885, 0.62%
04 302.8950
↘0.173, 0.06%
05 302.9904
↘0.095, 0.03%
06 302.6797
↗0.311, 0.10%
07 303.8560
↘1.176, 0.39%
08 304.7098
↘0.854, 0.28%
09 304.1960
↗0.514, 0.17%
10 301.6296
↗2.566, 0.84%
11 301.0204
↗0.609, 0.20%
12 301.0204
→0.000, 0.00%
13 301.1497
↘0.129, 0.04%
14 300.8170
↗0.333, 0.11%
15 300.9800
↘0.163, 0.05%
16 300.4298
↗0.550, 0.18%
17 297.7698
↗2.660, 0.89%
18 296.6504
↗1.119, 0.38%
19 296.6504
→0.000, 0.00%
20 296.4860
↗0.164, 0.06%
21 295.8840
↗0.602, 0.20%
22 295.7210
↗0.163, 0.06%
23 294.7401
↗0.981, 0.33%
24 296.5603
↘1.820, 0.62%
25 296.7804
↘0.220, 0.07%
26 296.7804
→0.000, 0.00%
27 296.3815
↗0.399, 0.13%
28 295.6270
↗0.755, 0.25%
29 296.7698
↘1.143, 0.39%
30 295.3899
↗1.380, 0.46%
31 294.6280
↗0.762, 0.26%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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September, 2019
01 301.4701
02 302.1430
↘0.673, 0.22%
03 300.6899
↗1.453, 0.48%
04 298.5803
↗2.110, 0.70%
05 298.9202
↘0.340, 0.11%
06 299.3304
↘0.410, 0.14%
07 299.3304
→0.000, 0.00%
08 299.4099
↘0.079, 0.03%
09 298.8940
↗0.516, 0.17%
10 300.2049
↘1.311, 0.44%
11 301.6203
↘1.415, 0.47%
12 300.8501
↗0.770, 0.26%
13 299.1904
↗1.660, 0.55%
14 299.1904
→0.000, 0.00%
15 299.1502
↗0.040, 0.01%
16 301.8296
↘2.679, 0.90%
17 301.2898
↗0.540, 0.18%
18 301.9240
↘0.634, 0.21%
19 300.9700
↗0.954, 0.32%
20 302.8704
↘1.900, 0.63%
21 302.8704
→0.000, 0.00%
22 303.0595
↘0.189, 0.06%
23 304.8198
↘1.760, 0.58%
24 302.8908
↗1.929, 0.63%
25 305.1790
↘2.288, 0.76%
26 307.2460
↘2.067, 0.68%
27 306.5704
↗0.676, 0.22%
28 306.5504
↗0.020, 0.01%
29 306.5590
↘0.009, 0.00%
30 307.3011
↘0.742, 0.24%
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”),301.470,301.47],[new Date(“2019-09-02”),302.143,302.14],[new Date(“2019-09-03”),300.690,300.69],[new Date(“2019-09-04”),298.580,298.58],[new Date(“2019-09-05”),298.920,298.92],[new Date(“2019-09-06”),299.330,299.33],[new Date(“2019-09-07”),299.330,299.33],[new Date(“2019-09-08”),299.410,299.41],[new Date(“2019-09-09”),298.894,298.89],[new Date(“2019-09-10”),300.205,300.20],[new Date(“2019-09-11”),301.620,301.62],[new Date(“2019-09-12”),300.850,300.85],[new Date(“2019-09-13”),299.190,299.19],[new Date(“2019-09-14”),299.190,299.19],[new Date(“2019-09-15”),299.150,299.15],[new Date(“2019-09-16”),301.830,301.83],[new Date(“2019-09-17”),301.290,301.29],[new Date(“2019-09-18”),301.924,301.92],[new Date(“2019-09-19”),300.970,300.97],[new Date(“2019-09-20”),302.870,302.87],[new Date(“2019-09-21”),302.870,302.87],[new Date(“2019-09-22”),303.060,303.06],[new Date(“2019-09-23”),304.820,304.82],[new Date(“2019-09-24”),302.891,302.89],[new Date(“2019-09-25”),305.179,305.18],[new Date(“2019-09-26”),307.246,307.25],[new Date(“2019-09-27”),306.570,306.57],[new Date(“2019-09-28”),306.550,306.55],[new Date(“2019-09-29”),306.559,306.56],[new Date(“2019-09-30″),307.301,307.30],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_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”),301.470,301.47],[new Date(“2019-09-02”),302.143,302.14],[new Date(“2019-09-03”),300.690,300.69],[new Date(“2019-09-04”),298.580,298.58],[new Date(“2019-09-05”),298.920,298.92],[new Date(“2019-09-06”),299.330,299.33],[new Date(“2019-09-07”),299.330,299.33],[new Date(“2019-09-08”),299.410,299.41],[new Date(“2019-09-09”),298.894,298.89],[new Date(“2019-09-10”),300.205,300.20],[new Date(“2019-09-11”),301.620,301.62],[new Date(“2019-09-12”),300.850,300.85],[new Date(“2019-09-13”),299.190,299.19],[new Date(“2019-09-14”),299.190,299.19],[new Date(“2019-09-15”),299.150,299.15],[new Date(“2019-09-16”),301.830,301.83],[new Date(“2019-09-17”),301.290,301.29],[new Date(“2019-09-18”),301.924,301.92],[new Date(“2019-09-19”),300.970,300.97],[new Date(“2019-09-20”),302.870,302.87],[new Date(“2019-09-21”),302.870,302.87],[new Date(“2019-09-22”),303.060,303.06],[new Date(“2019-09-23”),304.820,304.82],[new Date(“2019-09-24”),302.891,302.89],[new Date(“2019-09-25”),305.179,305.18],[new Date(“2019-09-26”),307.246,307.25],[new Date(“2019-09-27”),306.570,306.57],[new Date(“2019-09-28”),306.550,306.55],[new Date(“2019-09-29”),306.559,306.56],[new Date(“2019-09-30″),307.301,307.30],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}
August, 2019
01 295.4594
02 294.6704
↗0.789, 0.27%
03 294.6704
→0.000, 0.00%
04 294.6490
↗0.021, 0.01%
05 290.9100
↗3.739, 1.27%
06 289.9120
↗0.998, 0.34%
07 290.9165
↘1.004, 0.35%
08 289.8280
↗1.088, 0.37%
09 289.4704
↗0.358, 0.12%
10 289.4704
→0.000, 0.00%
11 289.7680
↘0.298, 0.10%
12 289.0560
↗0.712, 0.25%
13 289.4460
↘0.390, 0.13%
14 292.1942
↘2.748, 0.95%
15 293.0002
↘0.806, 0.28%
16 292.7104
↗0.290, 0.10%
17 292.7104
→0.000, 0.00%
18 292.6603
↗0.050, 0.02%
19 294.6600
↘2.000, 0.68%
20 295.0199
↘0.360, 0.12%
21 295.1803
↘0.160, 0.05%
22 296.0599
↘0.880, 0.30%
23 295.3604
↗0.700, 0.24%
24 295.3038
↗0.057, 0.02%
25 295.4920
↘0.188, 0.06%
26 296.5900
↘1.098, 0.37%
27 297.1702
↘0.580, 0.20%
28 297.8370
↘0.667, 0.22%
29 299.6499
↘1.813, 0.61%
30 301.4804
↘1.830, 0.61%
31 301.4804
→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”),295.459,295.46],[new Date(“2019-08-02”),294.670,294.67],[new Date(“2019-08-03”),294.670,294.67],[new Date(“2019-08-04”),294.649,294.65],[new Date(“2019-08-05”),290.910,290.91],[new Date(“2019-08-06”),289.912,289.91],[new Date(“2019-08-07”),290.917,290.92],[new Date(“2019-08-08”),289.828,289.83],[new Date(“2019-08-09”),289.470,289.47],[new Date(“2019-08-10”),289.470,289.47],[new Date(“2019-08-11”),289.768,289.77],[new Date(“2019-08-12”),289.056,289.06],[new Date(“2019-08-13”),289.446,289.45],[new Date(“2019-08-14”),292.194,292.19],[new Date(“2019-08-15”),293.000,293.00],[new Date(“2019-08-16”),292.710,292.71],[new Date(“2019-08-17”),292.710,292.71],[new Date(“2019-08-18”),292.660,292.66],[new Date(“2019-08-19”),294.660,294.66],[new Date(“2019-08-20”),295.020,295.02],[new Date(“2019-08-21”),295.180,295.18],[new Date(“2019-08-22”),296.060,296.06],[new Date(“2019-08-23”),295.360,295.36],[new Date(“2019-08-24”),295.304,295.30],[new Date(“2019-08-25”),295.492,295.49],[new Date(“2019-08-26”),296.590,296.59],[new Date(“2019-08-27”),297.170,297.17],[new Date(“2019-08-28”),297.837,297.84],[new Date(“2019-08-29”),299.650,299.65],[new Date(“2019-08-30”),301.480,301.48],[new Date(“2019-08-31″),301.480,301.48],]);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”),295.459,295.46],[new Date(“2019-08-02”),294.670,294.67],[new Date(“2019-08-03”),294.670,294.67],[new Date(“2019-08-04”),294.649,294.65],[new Date(“2019-08-05”),290.910,290.91],[new Date(“2019-08-06”),289.912,289.91],[new Date(“2019-08-07”),290.917,290.92],[new Date(“2019-08-08”),289.828,289.83],[new Date(“2019-08-09”),289.470,289.47],[new Date(“2019-08-10”),289.470,289.47],[new Date(“2019-08-11”),289.768,289.77],[new Date(“2019-08-12”),289.056,289.06],[new Date(“2019-08-13”),289.446,289.45],[new Date(“2019-08-14”),292.194,292.19],[new Date(“2019-08-15”),293.000,293.00],[new Date(“2019-08-16”),292.710,292.71],[new Date(“2019-08-17”),292.710,292.71],[new Date(“2019-08-18”),292.660,292.66],[new Date(“2019-08-19”),294.660,294.66],[new Date(“2019-08-20”),295.020,295.02],[new Date(“2019-08-21”),295.180,295.18],[new Date(“2019-08-22”),296.060,296.06],[new Date(“2019-08-23”),295.360,295.36],[new Date(“2019-08-24”),295.304,295.30],[new Date(“2019-08-25”),295.492,295.49],[new Date(“2019-08-26”),296.590,296.59],[new Date(“2019-08-27”),297.170,297.17],[new Date(“2019-08-28”),297.837,297.84],[new Date(“2019-08-29”),299.650,299.65],[new Date(“2019-08-30”),301.480,301.48],[new Date(“2019-08-31″),301.480,301.48],]);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);
}
July, 2019
01 286.4870
02 285.9400
↗0.547, 0.19%
03 285.6301
↗0.310, 0.11%
04 286.1102
↘0.480, 0.17%
05 288.7104
↘2.600, 0.91%
06 288.7104
→0.000, 0.00%
07 288.6598
↗0.051, 0.02%
08 289.6299
↘0.970, 0.34%
09 290.5400
↘0.910, 0.31%
10 289.3196
↗1.220, 0.42%
11 289.7799
↘0.460, 0.16%
12 289.1804
↗0.600, 0.21%
13 289.1804
→0.000, 0.00%
14 288.8960
↗0.284, 0.10%
15 288.9500
↘0.054, 0.02%
16 290.8402
↘1.890, 0.65%
17 290.8696
↘0.029, 0.01%
18 289.3603
↗1.509, 0.52%
19 289.6604
↘0.300, 0.10%
20 289.6804
↘0.020, 0.01%
21 290.0670
↘0.387, 0.13%
22 290.3154
↘0.248, 0.09%
23 292.1851
↘1.870, 0.64%
24 292.0799
↗0.105, 0.04%
25 292.7400
↘0.660, 0.23%
26 293.8804
↘1.140, 0.39%
27 293.8804
→0.000, 0.00%
28 293.6801
↗0.200, 0.07%
29 294.2698
↘0.590, 0.20%
30 293.5540
↗0.716, 0.24%
31 294.5299
↘0.976, 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(“2019-07-01”),286.487,286.49],[new Date(“2019-07-02”),285.940,285.94],[new Date(“2019-07-03”),285.630,285.63],[new Date(“2019-07-04”),286.110,286.11],[new Date(“2019-07-05”),288.710,288.71],[new Date(“2019-07-06”),288.710,288.71],[new Date(“2019-07-07”),288.660,288.66],[new Date(“2019-07-08”),289.630,289.63],[new Date(“2019-07-09”),290.540,290.54],[new Date(“2019-07-10”),289.320,289.32],[new Date(“2019-07-11”),289.780,289.78],[new Date(“2019-07-12”),289.180,289.18],[new Date(“2019-07-13”),289.180,289.18],[new Date(“2019-07-14”),288.896,288.90],[new Date(“2019-07-15”),288.950,288.95],[new Date(“2019-07-16”),290.840,290.84],[new Date(“2019-07-17”),290.870,290.87],[new Date(“2019-07-18”),289.360,289.36],[new Date(“2019-07-19”),289.660,289.66],[new Date(“2019-07-20”),289.680,289.68],[new Date(“2019-07-21”),290.067,290.07],[new Date(“2019-07-22”),290.315,290.32],[new Date(“2019-07-23”),292.185,292.19],[new Date(“2019-07-24”),292.080,292.08],[new Date(“2019-07-25”),292.740,292.74],[new Date(“2019-07-26”),293.880,293.88],[new Date(“2019-07-27”),293.880,293.88],[new Date(“2019-07-28”),293.680,293.68],[new Date(“2019-07-29”),294.270,294.27],[new Date(“2019-07-30”),293.554,293.55],[new Date(“2019-07-31″),294.530,294.53],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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‘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”),286.487,286.49],[new Date(“2019-07-02”),285.940,285.94],[new Date(“2019-07-03”),285.630,285.63],[new Date(“2019-07-04”),286.110,286.11],[new Date(“2019-07-05”),288.710,288.71],[new Date(“2019-07-06”),288.710,288.71],[new Date(“2019-07-07”),288.660,288.66],[new Date(“2019-07-08”),289.630,289.63],[new Date(“2019-07-09”),290.540,290.54],[new Date(“2019-07-10”),289.320,289.32],[new Date(“2019-07-11”),289.780,289.78],[new Date(“2019-07-12”),289.180,289.18],[new Date(“2019-07-13”),289.180,289.18],[new Date(“2019-07-14”),288.896,288.90],[new Date(“2019-07-15”),288.950,288.95],[new Date(“2019-07-16”),290.840,290.84],[new Date(“2019-07-17”),290.870,290.87],[new Date(“2019-07-18”),289.360,289.36],[new Date(“2019-07-19”),289.660,289.66],[new Date(“2019-07-20”),289.680,289.68],[new Date(“2019-07-21”),290.067,290.07],[new Date(“2019-07-22”),290.315,290.32],[new Date(“2019-07-23”),292.185,292.19],[new Date(“2019-07-24”),292.080,292.08],[new Date(“2019-07-25”),292.740,292.74],[new Date(“2019-07-26”),293.880,293.88],[new Date(“2019-07-27”),293.880,293.88],[new Date(“2019-07-28”),293.680,293.68],[new Date(“2019-07-29”),294.270,294.27],[new Date(“2019-07-30”),293.554,293.55],[new Date(“2019-07-31″),294.530,294.53],]);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’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
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June, 2019
01 290.9204
02 290.7190
↗0.201, 0.07%
03 287.2898
↗3.429, 1.18%
04 286.0898
↗1.200, 0.42%
05 286.2202
↘0.130, 0.05%
06 284.5803
↗1.640, 0.57%
07 282.4604
↗2.120, 0.74%
08 282.4604
→0.000, 0.00%
09 282.8700
↘0.410, 0.15%
10 282.8320
↗0.038, 0.01%
11 283.4775
↘0.646, 0.23%
12 285.2600
↘1.782, 0.63%
13 285.4898
↘0.230, 0.08%
14 287.5904
↘2.101, 0.74%
15 287.5604
↗0.030, 0.01%
16 287.4202
↗0.140, 0.05%
17 287.1031
↗0.317, 0.11%
18 288.6601
↘1.557, 0.54%
19 287.9500
↗0.710, 0.25%
20 286.0698
↗1.880, 0.65%
21 284.9704
↗1.099, 0.38%
22 284.9704
→0.000, 0.00%
23 284.8025
↗0.168, 0.06%
24 283.8701
↗0.932, 0.33%
25 284.4840
↘0.614, 0.22%
26 284.3598
↗0.124, 0.04%
27 284.6200
↘0.260, 0.09%
28 284.1038
↗0.516, 0.18%
29 284.1038
→0.000, 0.00%
30 284.2950
↘0.191, 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(“2019-06-01”),290.920,290.92],[new Date(“2019-06-02”),290.719,290.72],[new Date(“2019-06-03”),287.290,287.29],[new Date(“2019-06-04”),286.090,286.09],[new Date(“2019-06-05”),286.220,286.22],[new Date(“2019-06-06”),284.580,284.58],[new Date(“2019-06-07”),282.460,282.46],[new Date(“2019-06-08”),282.460,282.46],[new Date(“2019-06-09”),282.870,282.87],[new Date(“2019-06-10”),282.832,282.83],[new Date(“2019-06-11”),283.478,283.48],[new Date(“2019-06-12”),285.260,285.26],[new Date(“2019-06-13”),285.490,285.49],[new Date(“2019-06-14”),287.590,287.59],[new Date(“2019-06-15”),287.560,287.56],[new Date(“2019-06-16”),287.420,287.42],[new Date(“2019-06-17”),287.103,287.10],[new Date(“2019-06-18”),288.660,288.66],[new Date(“2019-06-19”),287.950,287.95],[new Date(“2019-06-20”),286.070,286.07],[new Date(“2019-06-21”),284.970,284.97],[new Date(“2019-06-22”),284.970,284.97],[new Date(“2019-06-23”),284.803,284.80],[new Date(“2019-06-24”),283.870,283.87],[new Date(“2019-06-25”),284.484,284.48],[new Date(“2019-06-26”),284.360,284.36],[new Date(“2019-06-27”),284.620,284.62],[new Date(“2019-06-28”),284.104,284.10],[new Date(“2019-06-29”),284.104,284.10],[new Date(“2019-06-30″),284.295,284.30],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
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(“2019-06-01”),290.920,290.92],[new Date(“2019-06-02”),290.719,290.72],[new Date(“2019-06-03”),287.290,287.29],[new Date(“2019-06-04”),286.090,286.09],[new Date(“2019-06-05”),286.220,286.22],[new Date(“2019-06-06”),284.580,284.58],[new Date(“2019-06-07”),282.460,282.46],[new Date(“2019-06-08”),282.460,282.46],[new Date(“2019-06-09”),282.870,282.87],[new Date(“2019-06-10”),282.832,282.83],[new Date(“2019-06-11”),283.478,283.48],[new Date(“2019-06-12”),285.260,285.26],[new Date(“2019-06-13”),285.490,285.49],[new Date(“2019-06-14”),287.590,287.59],[new Date(“2019-06-15”),287.560,287.56],[new Date(“2019-06-16”),287.420,287.42],[new Date(“2019-06-17”),287.103,287.10],[new Date(“2019-06-18”),288.660,288.66],[new Date(“2019-06-19”),287.950,287.95],[new Date(“2019-06-20”),286.070,286.07],[new Date(“2019-06-21”),284.970,284.97],[new Date(“2019-06-22”),284.970,284.97],[new Date(“2019-06-23”),284.803,284.80],[new Date(“2019-06-24”),283.870,283.87],[new Date(“2019-06-25”),284.484,284.48],[new Date(“2019-06-26”),284.360,284.36],[new Date(“2019-06-27”),284.620,284.62],[new Date(“2019-06-28”),284.104,284.10],[new Date(“2019-06-29”),284.104,284.10],[new Date(“2019-06-30″),284.295,284.30],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
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May, 2019
01 289.7570
02 290.2799
↘0.523, 0.18%
03 288.6204
↗1.659, 0.57%
04 288.6204
→0.000, 0.00%
05 288.9604
↘0.340, 0.12%
06 289.0401
↘0.080, 0.03%
07 289.6396
↘0.599, 0.21%
08 289.6601
↘0.021, 0.01%
09 288.9401
↗0.720, 0.25%
10 287.6104
↗1.330, 0.46%
11 287.6104
→0.000, 0.00%
12 287.7450
↘0.135, 0.05%
13 288.4600
↘0.715, 0.25%
14 289.5599
↘1.100, 0.38%
15 289.7450
↘0.185, 0.06%
16 290.4498
↘0.705, 0.24%
17 292.1404
↘1.691, 0.58%
18 292.1404
→0.000, 0.00%
19 292.1399
↗0.000, 0.00%
20 292.3599
↘0.220, 0.08%
21 292.1904
↗0.170, 0.06%
22 292.5403
↘0.350, 0.12%
23 291.9302
↗0.610, 0.21%
24 290.4104
↗1.520, 0.52%
25 290.4404
↘0.030, 0.01%
26 290.2840
↗0.156, 0.05%
27 291.0302
↘0.746, 0.26%
28 292.9405
↘1.910, 0.66%
29 292.7197
↗0.221, 0.08%
30 291.7298
↗0.990, 0.34%
31 290.9204
↗0.809, 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(“2019-05-01”),289.757,289.76],[new Date(“2019-05-02”),290.280,290.28],[new Date(“2019-05-03”),288.620,288.62],[new Date(“2019-05-04”),288.620,288.62],[new Date(“2019-05-05”),288.960,288.96],[new Date(“2019-05-06”),289.040,289.04],[new Date(“2019-05-07”),289.640,289.64],[new Date(“2019-05-08”),289.660,289.66],[new Date(“2019-05-09”),288.940,288.94],[new Date(“2019-05-10”),287.610,287.61],[new Date(“2019-05-11”),287.610,287.61],[new Date(“2019-05-12”),287.745,287.74],[new Date(“2019-05-13”),288.460,288.46],[new Date(“2019-05-14”),289.560,289.56],[new Date(“2019-05-15”),289.745,289.75],[new Date(“2019-05-16”),290.450,290.45],[new Date(“2019-05-17”),292.140,292.14],[new Date(“2019-05-18”),292.140,292.14],[new Date(“2019-05-19”),292.140,292.14],[new Date(“2019-05-20”),292.360,292.36],[new Date(“2019-05-21”),292.190,292.19],[new Date(“2019-05-22”),292.540,292.54],[new Date(“2019-05-23”),291.930,291.93],[new Date(“2019-05-24”),290.410,290.41],[new Date(“2019-05-25”),290.440,290.44],[new Date(“2019-05-26”),290.284,290.28],[new Date(“2019-05-27”),291.030,291.03],[new Date(“2019-05-28”),292.940,292.94],[new Date(“2019-05-29”),292.720,292.72],[new Date(“2019-05-30”),291.730,291.73],[new Date(“2019-05-31″),290.920,290.92],]);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);
}
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”),289.757,289.76],[new Date(“2019-05-02”),290.280,290.28],[new Date(“2019-05-03”),288.620,288.62],[new Date(“2019-05-04”),288.620,288.62],[new Date(“2019-05-05”),288.960,288.96],[new Date(“2019-05-06”),289.040,289.04],[new Date(“2019-05-07”),289.640,289.64],[new Date(“2019-05-08”),289.660,289.66],[new Date(“2019-05-09”),288.940,288.94],[new Date(“2019-05-10”),287.610,287.61],[new Date(“2019-05-11”),287.610,287.61],[new Date(“2019-05-12”),287.745,287.74],[new Date(“2019-05-13”),288.460,288.46],[new Date(“2019-05-14”),289.560,289.56],[new Date(“2019-05-15”),289.745,289.75],[new Date(“2019-05-16”),290.450,290.45],[new Date(“2019-05-17”),292.140,292.14],[new Date(“2019-05-18”),292.140,292.14],[new Date(“2019-05-19”),292.140,292.14],[new Date(“2019-05-20”),292.360,292.36],[new Date(“2019-05-21”),292.190,292.19],[new Date(“2019-05-22”),292.540,292.54],[new Date(“2019-05-23”),291.930,291.93],[new Date(“2019-05-24”),290.410,290.41],[new Date(“2019-05-25”),290.440,290.44],[new Date(“2019-05-26”),290.284,290.28],[new Date(“2019-05-27”),291.030,291.03],[new Date(“2019-05-28”),292.940,292.94],[new Date(“2019-05-29”),292.720,292.72],[new Date(“2019-05-30”),291.730,291.73],[new Date(“2019-05-31″),290.920,290.92],]);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_5’));
chart.draw(data, options);
}
April, 2019
01 286.9660
02 286.7320
↗0.234, 0.08%
03 284.4499
↗2.282, 0.80%
04 285.2299
↘0.780, 0.27%
05 286.3204
↘1.090, 0.38%
06 286.3204
→0.000, 0.00%
07 286.4250
↘0.105, 0.04%
08 285.3298
↗1.095, 0.38%
09 286.1006
↘0.771, 0.27%
10 285.1098
↗0.991, 0.35%
11 286.0660
↘0.956, 0.34%
12 284.4604
↗1.606, 0.56%
13 284.4804
↘0.020, 0.01%
14 284.4102
↗0.070, 0.02%
15 283.2798
↗1.130, 0.40%
16 283.3295
↘0.050, 0.02%
17 282.8401
↗0.489, 0.17%
18 284.8102
↘1.970, 0.70%
19 284.5904
↗0.220, 0.08%
20 284.5904
→0.000, 0.00%
21 284.7020
↘0.112, 0.04%
22 284.6301
↗0.072, 0.03%
23 285.7585
↘1.128, 0.40%
24 288.5396
↘2.781, 0.97%
25 289.3103
↘0.771, 0.27%
26 289.3304
↘0.020, 0.01%
27 289.3504
↘0.020, 0.01%
28 289.0901
↗0.260, 0.09%
29 288.9599
↗0.130, 0.05%
30 288.8150
↗0.145, 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(“2019-04-01”),286.966,286.97],[new Date(“2019-04-02”),286.732,286.73],[new Date(“2019-04-03”),284.450,284.45],[new Date(“2019-04-04”),285.230,285.23],[new Date(“2019-04-05”),286.320,286.32],[new Date(“2019-04-06”),286.320,286.32],[new Date(“2019-04-07”),286.425,286.43],[new Date(“2019-04-08”),285.330,285.33],[new Date(“2019-04-09”),286.101,286.10],[new Date(“2019-04-10”),285.110,285.11],[new Date(“2019-04-11”),286.066,286.07],[new Date(“2019-04-12”),284.460,284.46],[new Date(“2019-04-13”),284.480,284.48],[new Date(“2019-04-14”),284.410,284.41],[new Date(“2019-04-15”),283.280,283.28],[new Date(“2019-04-16”),283.330,283.33],[new Date(“2019-04-17”),282.840,282.84],[new Date(“2019-04-18”),284.810,284.81],[new Date(“2019-04-19”),284.590,284.59],[new Date(“2019-04-20”),284.590,284.59],[new Date(“2019-04-21”),284.702,284.70],[new Date(“2019-04-22”),284.630,284.63],[new Date(“2019-04-23”),285.758,285.76],[new Date(“2019-04-24”),288.540,288.54],[new Date(“2019-04-25”),289.310,289.31],[new Date(“2019-04-26”),289.330,289.33],[new Date(“2019-04-27”),289.350,289.35],[new Date(“2019-04-28”),289.090,289.09],[new Date(“2019-04-29”),288.960,288.96],[new Date(“2019-04-30″),288.815,288.82],]);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);
}
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”),286.966,286.97],[new Date(“2019-04-02”),286.732,286.73],[new Date(“2019-04-03”),284.450,284.45],[new Date(“2019-04-04”),285.230,285.23],[new Date(“2019-04-05”),286.320,286.32],[new Date(“2019-04-06”),286.320,286.32],[new Date(“2019-04-07”),286.425,286.43],[new Date(“2019-04-08”),285.330,285.33],[new Date(“2019-04-09”),286.101,286.10],[new Date(“2019-04-10”),285.110,285.11],[new Date(“2019-04-11”),286.066,286.07],[new Date(“2019-04-12”),284.460,284.46],[new Date(“2019-04-13”),284.480,284.48],[new Date(“2019-04-14”),284.410,284.41],[new Date(“2019-04-15”),283.280,283.28],[new Date(“2019-04-16”),283.330,283.33],[new Date(“2019-04-17”),282.840,282.84],[new Date(“2019-04-18”),284.810,284.81],[new Date(“2019-04-19”),284.590,284.59],[new Date(“2019-04-20”),284.590,284.59],[new Date(“2019-04-21”),284.702,284.70],[new Date(“2019-04-22”),284.630,284.63],[new Date(“2019-04-23”),285.758,285.76],[new Date(“2019-04-24”),288.540,288.54],[new Date(“2019-04-25”),289.310,289.31],[new Date(“2019-04-26”),289.330,289.33],[new Date(“2019-04-27”),289.350,289.35],[new Date(“2019-04-28”),289.090,289.09],[new Date(“2019-04-29”),288.960,288.96],[new Date(“2019-04-30″),288.815,288.82],]);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_4’));
chart.draw(data, options);
}
March, 2019
01 278.0304
02 278.0304
→0.000, 0.00%
03 277.8101
↗0.220, 0.08%
04 278.4670
↘0.657, 0.24%
05 279.1190
↘0.652, 0.23%
06 278.9026
↗0.216, 0.08%
07 282.4302
↘3.528, 1.26%
08 280.7104
↗1.720, 0.61%
09 280.7104
→0.000, 0.00%
10 280.9530
↘0.243, 0.09%
11 280.3499
↗0.603, 0.21%
12 279.2800
↗1.070, 0.38%
13 277.6801
↗1.600, 0.57%
14 278.0503
↘0.370, 0.13%
15 277.5604
↗0.490, 0.18%
16 277.5604
→0.000, 0.00%
17 277.7860
↘0.226, 0.08%
18 276.8797
↗0.906, 0.33%
19 275.7298
↗1.150, 0.42%
20 274.2901
↗1.440, 0.52%
21 276.8007
↘2.511, 0.92%
22 280.2804
↘3.480, 1.26%
23 280.2904
↘0.010, 0.00%
24 280.0099
↗0.280, 0.10%
25 279.4300
↗0.580, 0.21%
26 282.7404
↘3.310, 1.18%
27 284.3200
↘1.580, 0.56%
28 285.3599
↘1.040, 0.37%
29 286.2504
↘0.890, 0.31%
30 286.2504
→0.000, 0.00%
31 286.1203
↗0.130, 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(“2019-03-01”),278.030,278.03],[new Date(“2019-03-02”),278.030,278.03],[new Date(“2019-03-03”),277.810,277.81],[new Date(“2019-03-04”),278.467,278.47],[new Date(“2019-03-05”),279.119,279.12],[new Date(“2019-03-06”),278.903,278.90],[new Date(“2019-03-07”),282.430,282.43],[new Date(“2019-03-08”),280.710,280.71],[new Date(“2019-03-09”),280.710,280.71],[new Date(“2019-03-10”),280.953,280.95],[new Date(“2019-03-11”),280.350,280.35],[new Date(“2019-03-12”),279.280,279.28],[new Date(“2019-03-13”),277.680,277.68],[new Date(“2019-03-14”),278.050,278.05],[new Date(“2019-03-15”),277.560,277.56],[new Date(“2019-03-16”),277.560,277.56],[new Date(“2019-03-17”),277.786,277.79],[new Date(“2019-03-18”),276.880,276.88],[new Date(“2019-03-19”),275.730,275.73],[new Date(“2019-03-20”),274.290,274.29],[new Date(“2019-03-21”),276.801,276.80],[new Date(“2019-03-22”),280.280,280.28],[new Date(“2019-03-23”),280.290,280.29],[new Date(“2019-03-24”),280.010,280.01],[new Date(“2019-03-25”),279.430,279.43],[new Date(“2019-03-26”),282.740,282.74],[new Date(“2019-03-27”),284.320,284.32],[new Date(“2019-03-28”),285.360,285.36],[new Date(“2019-03-29”),286.250,286.25],[new Date(“2019-03-30”),286.250,286.25],[new Date(“2019-03-31″),286.120,286.12],]);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);
}
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”),278.030,278.03],[new Date(“2019-03-02”),278.030,278.03],[new Date(“2019-03-03”),277.810,277.81],[new Date(“2019-03-04”),278.467,278.47],[new Date(“2019-03-05”),279.119,279.12],[new Date(“2019-03-06”),278.903,278.90],[new Date(“2019-03-07”),282.430,282.43],[new Date(“2019-03-08”),280.710,280.71],[new Date(“2019-03-09”),280.710,280.71],[new Date(“2019-03-10”),280.953,280.95],[new Date(“2019-03-11”),280.350,280.35],[new Date(“2019-03-12”),279.280,279.28],[new Date(“2019-03-13”),277.680,277.68],[new Date(“2019-03-14”),278.050,278.05],[new Date(“2019-03-15”),277.560,277.56],[new Date(“2019-03-16”),277.560,277.56],[new Date(“2019-03-17”),277.786,277.79],[new Date(“2019-03-18”),276.880,276.88],[new Date(“2019-03-19”),275.730,275.73],[new Date(“2019-03-20”),274.290,274.29],[new Date(“2019-03-21”),276.801,276.80],[new Date(“2019-03-22”),280.280,280.28],[new Date(“2019-03-23”),280.290,280.29],[new Date(“2019-03-24”),280.010,280.01],[new Date(“2019-03-25”),279.430,279.43],[new Date(“2019-03-26”),282.740,282.74],[new Date(“2019-03-27”),284.320,284.32],[new Date(“2019-03-28”),285.360,285.36],[new Date(“2019-03-29”),286.250,286.25],[new Date(“2019-03-30”),286.250,286.25],[new Date(“2019-03-31″),286.120,286.12],]);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_3’));
chart.draw(data, options);
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February, 2019
01 277.1104
02 277.1104
→0.000, 0.00%
03 277.0700
↗0.040, 0.01%
04 277.4860
↘0.416, 0.15%
05 278.5250
↘1.039, 0.37%
06 280.3250
↘1.800, 0.65%
07 281.1620
↘0.837, 0.30%
08 281.7804
↘0.618, 0.22%
09 281.6304
↗0.150, 0.05%
10 281.8497
↘0.219, 0.08%
11 283.6201
↘1.770, 0.63%
12 280.7150
↗2.905, 1.02%
13 283.1304
↘2.415, 0.86%
14 281.9801
↗1.150, 0.41%
15 281.8304
↗0.150, 0.05%
16 281.8304
→0.000, 0.00%
17 281.5498
↗0.281, 0.10%
18 281.1097
↗0.440, 0.16%
19 279.7899
↗1.320, 0.47%
20 279.4926
↗0.297, 0.11%
21 279.9650
↘0.472, 0.17%
22 280.4104
↘0.445, 0.16%
23 280.4904
↘0.080, 0.03%
24 280.3396
↗0.151, 0.05%
25 279.6110
↗0.729, 0.26%
26 277.8910
↗1.720, 0.62%
27 277.8502
↗0.041, 0.01%
28 277.8504
↘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(“2019-02-01”),277.110,277.11],[new Date(“2019-02-02”),277.110,277.11],[new Date(“2019-02-03”),277.070,277.07],[new Date(“2019-02-04”),277.486,277.49],[new Date(“2019-02-05”),278.525,278.52],[new Date(“2019-02-06”),280.325,280.33],[new Date(“2019-02-07”),281.162,281.16],[new Date(“2019-02-08”),281.780,281.78],[new Date(“2019-02-09”),281.630,281.63],[new Date(“2019-02-10”),281.850,281.85],[new Date(“2019-02-11”),283.620,283.62],[new Date(“2019-02-12”),280.715,280.72],[new Date(“2019-02-13”),283.130,283.13],[new Date(“2019-02-14”),281.980,281.98],[new Date(“2019-02-15”),281.830,281.83],[new Date(“2019-02-16”),281.830,281.83],[new Date(“2019-02-17”),281.550,281.55],[new Date(“2019-02-18”),281.110,281.11],[new Date(“2019-02-19”),279.790,279.79],[new Date(“2019-02-20”),279.493,279.49],[new Date(“2019-02-21”),279.965,279.96],[new Date(“2019-02-22”),280.410,280.41],[new Date(“2019-02-23”),280.490,280.49],[new Date(“2019-02-24”),280.340,280.34],[new Date(“2019-02-25”),279.611,279.61],[new Date(“2019-02-26”),277.891,277.89],[new Date(“2019-02-27”),277.850,277.85],[new Date(“2019-02-28″),277.850,277.85],]);var options = {
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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’:[”]
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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”);
data.addColumn(“number”, “Conversion Rate”);
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January, 2019
01 280.2699
02 284.8933
↘4.623, 1.65%
03 281.8280
↗3.065, 1.08%
04 281.6204
↗0.208, 0.07%
05 281.6204
→0.000, 0.00%
06 281.3698
↗0.251, 0.09%
07 279.7730
↗1.597, 0.57%
08 280.9401
↘1.167, 0.42%
09 277.9500
↗2.990, 1.06%
10 279.1750
↘1.225, 0.44%
11 280.0604
↘0.885, 0.32%
12 280.0604
→0.000, 0.00%
13 280.3270
↘0.267, 0.10%
14 280.4397
↘0.113, 0.04%
15 283.1200
↘2.680, 0.96%
16 281.9680
↗1.152, 0.41%
17 280.5180
↗1.450, 0.51%
18 279.8504
↗0.668, 0.24%
19 279.8504
→0.000, 0.00%
20 279.7603
↗0.090, 0.03%
21 279.4201
↗0.340, 0.12%
22 280.0296
↘0.609, 0.22%
23 279.3297
↗0.700, 0.25%
24 281.8450
↘2.515, 0.90%
25 278.5104
↗3.335, 1.18%
26 278.4404
↗0.070, 0.03%
27 278.3350
↗0.105, 0.04%
28 277.6690
↗0.666, 0.24%
29 277.4630
↗0.206, 0.07%
30 274.8201
↗2.643, 0.95%
31 275.9501
↘1.130, 0.41%
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