Czech Republic Koruna CZK 2018 Conversion Rates
- Opening Value is 21.266602 CZK per Dollar
- Closing Value is 22.426401 CZK per Dollar
- Change in Value during 2018 is 1.1598 which is 5.45%
- Best Performance is on 2018-02-01 with 20.120996 CZK per Dollar
- Lowest Performance is on 2018-11-12 with 23.104059 CZK per Dollar
- Average Value is 21.7376 CZK per Dollar
- Swing Between the higest and the lowest is 2.9831 per Dollar, that is 14.03% compared to the opening value.
USD to CZK Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2018-12-31 | 22.4264 CZK |
| 2018-11-30 | 22.9454 CZK |
| 2018-10-31 | 22.9223 CZK |
| 2018-09-30 | 22.1978 CZK |
| 2018-08-31 | 22.2064 CZK |
| 2018-07-31 | 21.8830 CZK |
| 2018-06-30 | 22.2160 CZK |
| 2018-05-31 | 22.0801 CZK |
| 2018-04-30 | 21.1809 CZK |
| 2018-03-31 | 20.5560 CZK |
| 2018-02-28 | 20.8499 CZK |
| 2018-01-31 | 20.3585 CZK |
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December, 2018
01 22.9460
02 22.9045
↗0.042, 0.18%
03 22.8407
↗0.064, 0.28%
04 22.8640
↘0.023, 0.10%
05 22.8343
↗0.030, 0.13%
06 22.7608
↗0.073, 0.32%
07 22.7310
↗0.030, 0.13%
08 22.7310
→0.000, 0.00%
09 22.6936
↗0.037, 0.16%
10 22.7771
↘0.084, 0.37%
11 22.8425
↘0.065, 0.29%
12 22.7334
↗0.109, 0.48%
13 22.7233
↗0.010, 0.04%
14 22.8084
↘0.085, 0.37%
15 22.8084
→0.000, 0.00%
16 22.8060
↗0.002, 0.01%
17 22.7132
↗0.093, 0.41%
18 22.6304
↗0.083, 0.36%
19 22.6179
↗0.012, 0.06%
20 22.5090
↗0.109, 0.48%
21 22.7367
↘0.228, 1.01%
22 22.7367
→0.000, 0.00%
23 22.7358
↗0.001, 0.00%
24 22.6964
↗0.039, 0.17%
25 22.6626
↗0.034, 0.15%
26 22.8158
↘0.153, 0.68%
27 22.5974
↗0.218, 0.96%
28 22.4963
↗0.101, 0.45%
29 22.4963
→0.000, 0.00%
30 22.5112
↘0.015, 0.07%
31 22.4264
↗0.085, 0.38%
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November, 2018
01 22.6508
02 22.6667
↘0.016, 0.07%
03 22.6667
→0.000, 0.00%
04 22.6502
↗0.017, 0.07%
05 22.6188
↗0.031, 0.14%
06 22.6134
↗0.005, 0.02%
07 22.6415
↘0.028, 0.12%
08 22.7640
↘0.122, 0.54%
09 22.8832
↘0.119, 0.52%
10 22.8832
→0.000, 0.00%
11 22.9080
↘0.025, 0.11%
12 23.1041
↘0.196, 0.86%
13 22.9390
↗0.165, 0.71%
14 23.0002
↘0.061, 0.27%
15 22.9708
↗0.029, 0.13%
16 22.7629
↗0.208, 0.91%
17 22.7610
↗0.002, 0.01%
18 22.7710
↘0.010, 0.04%
19 22.7198
↗0.051, 0.22%
20 22.8860
↘0.166, 0.73%
21 22.8312
↗0.055, 0.24%
22 22.7978
↗0.033, 0.15%
23 22.8686
↘0.071, 0.31%
24 22.8720
↘0.003, 0.02%
25 22.8592
↗0.013, 0.06%
26 22.8834
↘0.024, 0.11%
27 22.9451
↘0.062, 0.27%
28 22.8190
↗0.126, 0.55%
29 22.7873
↗0.032, 0.14%
30 22.9454
↘0.158, 0.69%
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October, 2018
01 22.2816
02 22.3381
↘0.057, 0.25%
03 22.4110
↘0.073, 0.33%
04 22.3877
↗0.023, 0.10%
05 22.3470
↗0.041, 0.18%
06 22.3470
→0.000, 0.00%
07 22.3689
↘0.022, 0.10%
08 22.4274
↘0.059, 0.26%
09 22.4383
↘0.011, 0.05%
10 22.4288
↗0.010, 0.04%
11 22.2801
↗0.149, 0.66%
12 22.3011
↘0.021, 0.09%
13 22.3011
→0.000, 0.00%
14 22.3286
↘0.027, 0.12%
15 22.2923
↗0.036, 0.16%
16 22.3210
↘0.029, 0.13%
17 22.4630
↘0.142, 0.64%
18 22.5930
↘0.130, 0.58%
19 22.4556
↗0.137, 0.61%
20 22.4556
→0.000, 0.00%
21 22.4816
↘0.026, 0.12%
22 22.5201
↘0.039, 0.17%
23 22.4741
↗0.046, 0.20%
24 22.6979
↘0.224, 1.00%
25 22.7397
↘0.042, 0.18%
26 22.6417
↗0.098, 0.43%
27 22.6417
→0.000, 0.00%
28 22.6605
↘0.019, 0.08%
29 22.7462
↘0.086, 0.38%
30 22.8235
↘0.077, 0.34%
31 22.9223
↘0.099, 0.43%
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September, 2018
01 22.2039
02 22.1966
↗0.007, 0.03%
03 22.1567
↗0.040, 0.18%
04 22.2188
↘0.062, 0.28%
05 22.1226
↗0.096, 0.43%
06 22.1396
↘0.017, 0.08%
07 22.2306
↘0.091, 0.41%
08 22.2307
↘0.000, 0.00%
09 22.2262
↗0.005, 0.02%
10 22.1245
↗0.102, 0.46%
11 22.1250
↘0.000, 0.00%
12 22.0086
↗0.116, 0.53%
13 21.8266
↗0.182, 0.83%
14 21.9101
↘0.084, 0.38%
15 21.9101
→0.000, 0.00%
16 21.9019
↗0.008, 0.04%
17 21.8045
↗0.097, 0.44%
18 21.7735
↗0.031, 0.14%
19 21.8521
↘0.079, 0.36%
20 21.7091
↗0.143, 0.65%
21 21.7914
↘0.082, 0.38%
22 21.7882
↗0.003, 0.01%
23 21.7827
↗0.006, 0.03%
24 21.7840
↘0.001, 0.01%
25 21.7580
↗0.026, 0.12%
26 21.8238
↘0.066, 0.30%
27 22.0628
↘0.239, 1.10%
28 22.1991
↘0.136, 0.62%
29 22.1991
→0.000, 0.00%
30 22.1978
↗0.001, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-09-01”),22.204,22.20],[new Date(“2018-09-02”),22.197,22.20],[new Date(“2018-09-03”),22.157,22.16],[new Date(“2018-09-04”),22.219,22.22],[new Date(“2018-09-05”),22.123,22.12],[new Date(“2018-09-06”),22.140,22.14],[new Date(“2018-09-07”),22.231,22.23],[new Date(“2018-09-08”),22.231,22.23],[new Date(“2018-09-09”),22.226,22.23],[new Date(“2018-09-10”),22.124,22.12],[new Date(“2018-09-11”),22.125,22.12],[new Date(“2018-09-12”),22.009,22.01],[new Date(“2018-09-13”),21.827,21.83],[new Date(“2018-09-14”),21.910,21.91],[new Date(“2018-09-15”),21.910,21.91],[new Date(“2018-09-16”),21.902,21.90],[new Date(“2018-09-17”),21.804,21.80],[new Date(“2018-09-18”),21.774,21.77],[new Date(“2018-09-19”),21.852,21.85],[new Date(“2018-09-20”),21.709,21.71],[new Date(“2018-09-21”),21.791,21.79],[new Date(“2018-09-22”),21.788,21.79],[new Date(“2018-09-23”),21.783,21.78],[new Date(“2018-09-24”),21.784,21.78],[new Date(“2018-09-25”),21.758,21.76],[new Date(“2018-09-26”),21.824,21.82],[new Date(“2018-09-27”),22.063,22.06],[new Date(“2018-09-28”),22.199,22.20],[new Date(“2018-09-29”),22.199,22.20],[new Date(“2018-09-30″),22.198,22.20],]);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);
}
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(“2018-09-01”),22.204,22.20],[new Date(“2018-09-02”),22.197,22.20],[new Date(“2018-09-03”),22.157,22.16],[new Date(“2018-09-04”),22.219,22.22],[new Date(“2018-09-05”),22.123,22.12],[new Date(“2018-09-06”),22.140,22.14],[new Date(“2018-09-07”),22.231,22.23],[new Date(“2018-09-08”),22.231,22.23],[new Date(“2018-09-09”),22.226,22.23],[new Date(“2018-09-10”),22.124,22.12],[new Date(“2018-09-11”),22.125,22.12],[new Date(“2018-09-12”),22.009,22.01],[new Date(“2018-09-13”),21.827,21.83],[new Date(“2018-09-14”),21.910,21.91],[new Date(“2018-09-15”),21.910,21.91],[new Date(“2018-09-16”),21.902,21.90],[new Date(“2018-09-17”),21.804,21.80],[new Date(“2018-09-18”),21.774,21.77],[new Date(“2018-09-19”),21.852,21.85],[new Date(“2018-09-20”),21.709,21.71],[new Date(“2018-09-21”),21.791,21.79],[new Date(“2018-09-22”),21.788,21.79],[new Date(“2018-09-23”),21.783,21.78],[new Date(“2018-09-24”),21.784,21.78],[new Date(“2018-09-25”),21.758,21.76],[new Date(“2018-09-26”),21.824,21.82],[new Date(“2018-09-27”),22.063,22.06],[new Date(“2018-09-28”),22.199,22.20],[new Date(“2018-09-29”),22.199,22.20],[new Date(“2018-09-30″),22.198,22.20],]);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, 2018
01 21.9365
02 22.1451
↘0.209, 0.95%
03 22.1503
↘0.005, 0.02%
04 22.1503
→0.000, 0.00%
05 22.1965
↘0.046, 0.21%
06 22.1805
↗0.016, 0.07%
07 22.0611
↗0.119, 0.54%
08 22.0452
↗0.016, 0.07%
09 22.2037
↘0.159, 0.72%
10 22.4721
↘0.268, 1.21%
11 22.4721
→0.000, 0.00%
12 22.5316
↘0.059, 0.26%
13 22.5962
↘0.065, 0.29%
14 22.6633
↘0.067, 0.30%
15 22.7170
↘0.054, 0.24%
16 22.6307
↗0.086, 0.38%
17 22.4649
↗0.166, 0.73%
18 22.4649
→0.000, 0.00%
19 22.4578
↗0.007, 0.03%
20 22.4082
↗0.050, 0.22%
21 22.2340
↗0.174, 0.78%
22 22.2014
↗0.033, 0.15%
23 22.2923
↘0.091, 0.41%
24 22.1598
↗0.132, 0.59%
25 22.1598
→0.000, 0.00%
26 22.1133
↗0.047, 0.21%
27 22.0000
↗0.113, 0.51%
28 21.9813
↗0.019, 0.09%
29 21.9768
↗0.004, 0.02%
30 22.0964
↘0.120, 0.54%
31 22.2064
↘0.110, 0.50%
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(“2018-08-01”),21.937,21.94],[new Date(“2018-08-02”),22.145,22.15],[new Date(“2018-08-03”),22.150,22.15],[new Date(“2018-08-04”),22.150,22.15],[new Date(“2018-08-05”),22.196,22.20],[new Date(“2018-08-06”),22.181,22.18],[new Date(“2018-08-07”),22.061,22.06],[new Date(“2018-08-08”),22.045,22.05],[new Date(“2018-08-09”),22.204,22.20],[new Date(“2018-08-10”),22.472,22.47],[new Date(“2018-08-11”),22.472,22.47],[new Date(“2018-08-12”),22.532,22.53],[new Date(“2018-08-13”),22.596,22.60],[new Date(“2018-08-14”),22.663,22.66],[new Date(“2018-08-15”),22.717,22.72],[new Date(“2018-08-16”),22.631,22.63],[new Date(“2018-08-17”),22.465,22.46],[new Date(“2018-08-18”),22.465,22.46],[new Date(“2018-08-19”),22.458,22.46],[new Date(“2018-08-20”),22.408,22.41],[new Date(“2018-08-21”),22.234,22.23],[new Date(“2018-08-22”),22.201,22.20],[new Date(“2018-08-23”),22.292,22.29],[new Date(“2018-08-24”),22.160,22.16],[new Date(“2018-08-25”),22.160,22.16],[new Date(“2018-08-26”),22.113,22.11],[new Date(“2018-08-27”),22.000,22.00],[new Date(“2018-08-28”),21.981,21.98],[new Date(“2018-08-29”),21.977,21.98],[new Date(“2018-08-30”),22.096,22.10],[new Date(“2018-08-31″),22.206,22.21],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_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(“2018-08-01”),21.937,21.94],[new Date(“2018-08-02”),22.145,22.15],[new Date(“2018-08-03”),22.150,22.15],[new Date(“2018-08-04”),22.150,22.15],[new Date(“2018-08-05”),22.196,22.20],[new Date(“2018-08-06”),22.181,22.18],[new Date(“2018-08-07”),22.061,22.06],[new Date(“2018-08-08”),22.045,22.05],[new Date(“2018-08-09”),22.204,22.20],[new Date(“2018-08-10”),22.472,22.47],[new Date(“2018-08-11”),22.472,22.47],[new Date(“2018-08-12”),22.532,22.53],[new Date(“2018-08-13”),22.596,22.60],[new Date(“2018-08-14”),22.663,22.66],[new Date(“2018-08-15”),22.717,22.72],[new Date(“2018-08-16”),22.631,22.63],[new Date(“2018-08-17”),22.465,22.46],[new Date(“2018-08-18”),22.465,22.46],[new Date(“2018-08-19”),22.458,22.46],[new Date(“2018-08-20”),22.408,22.41],[new Date(“2018-08-21”),22.234,22.23],[new Date(“2018-08-22”),22.201,22.20],[new Date(“2018-08-23”),22.292,22.29],[new Date(“2018-08-24”),22.160,22.16],[new Date(“2018-08-25”),22.160,22.16],[new Date(“2018-08-26”),22.113,22.11],[new Date(“2018-08-27”),22.000,22.00],[new Date(“2018-08-28”),21.981,21.98],[new Date(“2018-08-29”),21.977,21.98],[new Date(“2018-08-30”),22.096,22.10],[new Date(“2018-08-31″),22.206,22.21],]);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, 2018
01 22.2315
02 22.3955
↘0.164, 0.74%
03 22.4019
↘0.006, 0.03%
04 22.3170
↗0.085, 0.38%
05 22.1613
↗0.156, 0.70%
06 22.0180
↗0.143, 0.65%
07 22.0370
↘0.019, 0.09%
08 22.0383
↘0.001, 0.01%
09 21.9842
↗0.054, 0.25%
10 22.0210
↘0.037, 0.17%
11 22.2054
↘0.184, 0.84%
12 22.2100
↘0.005, 0.02%
13 22.1480
↗0.062, 0.28%
14 22.1480
→0.000, 0.00%
15 22.1668
↘0.019, 0.08%
16 22.0951
↗0.072, 0.32%
17 22.1820
↘0.087, 0.39%
18 22.1960
↘0.014, 0.06%
19 22.2120
↘0.016, 0.07%
20 22.0520
↗0.160, 0.72%
21 22.0520
→0.000, 0.00%
22 22.0520
↗0.000, 0.00%
23 22.0846
↘0.033, 0.15%
24 21.9711
↗0.113, 0.51%
25 21.8293
↗0.142, 0.65%
26 22.0080
↘0.179, 0.82%
27 21.9804
↗0.028, 0.13%
28 21.9804
→0.000, 0.00%
29 21.9780
↗0.002, 0.01%
30 21.8641
↗0.114, 0.52%
31 21.8830
↘0.019, 0.09%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-07-01”),22.232,22.23],[new Date(“2018-07-02”),22.395,22.40],[new Date(“2018-07-03”),22.402,22.40],[new Date(“2018-07-04”),22.317,22.32],[new Date(“2018-07-05”),22.161,22.16],[new Date(“2018-07-06”),22.018,22.02],[new Date(“2018-07-07”),22.037,22.04],[new Date(“2018-07-08”),22.038,22.04],[new Date(“2018-07-09”),21.984,21.98],[new Date(“2018-07-10”),22.021,22.02],[new Date(“2018-07-11”),22.205,22.21],[new Date(“2018-07-12”),22.210,22.21],[new Date(“2018-07-13”),22.148,22.15],[new Date(“2018-07-14”),22.148,22.15],[new Date(“2018-07-15”),22.167,22.17],[new Date(“2018-07-16”),22.095,22.10],[new Date(“2018-07-17”),22.182,22.18],[new Date(“2018-07-18”),22.196,22.20],[new Date(“2018-07-19”),22.212,22.21],[new Date(“2018-07-20”),22.052,22.05],[new Date(“2018-07-21”),22.052,22.05],[new Date(“2018-07-22”),22.052,22.05],[new Date(“2018-07-23”),22.085,22.08],[new Date(“2018-07-24”),21.971,21.97],[new Date(“2018-07-25”),21.829,21.83],[new Date(“2018-07-26”),22.008,22.01],[new Date(“2018-07-27”),21.980,21.98],[new Date(“2018-07-28”),21.980,21.98],[new Date(“2018-07-29”),21.978,21.98],[new Date(“2018-07-30”),21.864,21.86],[new Date(“2018-07-31″),21.883,21.88],]);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(“2018-07-01”),22.232,22.23],[new Date(“2018-07-02”),22.395,22.40],[new Date(“2018-07-03”),22.402,22.40],[new Date(“2018-07-04”),22.317,22.32],[new Date(“2018-07-05”),22.161,22.16],[new Date(“2018-07-06”),22.018,22.02],[new Date(“2018-07-07”),22.037,22.04],[new Date(“2018-07-08”),22.038,22.04],[new Date(“2018-07-09”),21.984,21.98],[new Date(“2018-07-10”),22.021,22.02],[new Date(“2018-07-11”),22.205,22.21],[new Date(“2018-07-12”),22.210,22.21],[new Date(“2018-07-13”),22.148,22.15],[new Date(“2018-07-14”),22.148,22.15],[new Date(“2018-07-15”),22.167,22.17],[new Date(“2018-07-16”),22.095,22.10],[new Date(“2018-07-17”),22.182,22.18],[new Date(“2018-07-18”),22.196,22.20],[new Date(“2018-07-19”),22.212,22.21],[new Date(“2018-07-20”),22.052,22.05],[new Date(“2018-07-21”),22.052,22.05],[new Date(“2018-07-22”),22.052,22.05],[new Date(“2018-07-23”),22.085,22.08],[new Date(“2018-07-24”),21.971,21.97],[new Date(“2018-07-25”),21.829,21.83],[new Date(“2018-07-26”),22.008,22.01],[new Date(“2018-07-27”),21.980,21.98],[new Date(“2018-07-28”),21.980,21.98],[new Date(“2018-07-29”),21.978,21.98],[new Date(“2018-07-30”),21.864,21.86],[new Date(“2018-07-31″),21.883,21.88],]);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);
}
June, 2018
01 22.1180
02 22.1180
→0.000, 0.00%
03 22.1220
↘0.004, 0.02%
04 21.9643
↗0.158, 0.71%
05 21.8443
↗0.120, 0.55%
06 21.7866
↗0.058, 0.26%
07 21.8506
↘0.064, 0.29%
08 21.8650
↘0.014, 0.07%
09 21.8650
→0.000, 0.00%
10 21.8505
↗0.015, 0.07%
11 21.7560
↗0.094, 0.43%
12 21.8639
↘0.108, 0.50%
13 21.7617
↗0.102, 0.47%
14 22.2462
↘0.485, 2.23%
15 22.1460
↗0.100, 0.45%
16 22.1460
→0.000, 0.00%
17 22.1673
↘0.021, 0.10%
18 22.1510
↗0.016, 0.07%
19 22.2908
↘0.140, 0.63%
20 22.3020
↘0.011, 0.05%
21 22.2790
↗0.023, 0.10%
22 22.1039
↗0.175, 0.79%
23 22.1039
→0.000, 0.00%
24 22.1405
↘0.037, 0.17%
25 22.1277
↗0.013, 0.06%
26 22.2380
↘0.110, 0.50%
27 22.4175
↘0.180, 0.81%
28 22.4233
↘0.006, 0.03%
29 22.2160
↗0.207, 0.92%
30 22.2160
→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(“2018-06-01”),22.118,22.12],[new Date(“2018-06-02”),22.118,22.12],[new Date(“2018-06-03”),22.122,22.12],[new Date(“2018-06-04”),21.964,21.96],[new Date(“2018-06-05”),21.844,21.84],[new Date(“2018-06-06”),21.787,21.79],[new Date(“2018-06-07”),21.851,21.85],[new Date(“2018-06-08”),21.865,21.87],[new Date(“2018-06-09”),21.865,21.87],[new Date(“2018-06-10”),21.851,21.85],[new Date(“2018-06-11”),21.756,21.76],[new Date(“2018-06-12”),21.864,21.86],[new Date(“2018-06-13”),21.762,21.76],[new Date(“2018-06-14”),22.246,22.25],[new Date(“2018-06-15”),22.146,22.15],[new Date(“2018-06-16”),22.146,22.15],[new Date(“2018-06-17”),22.167,22.17],[new Date(“2018-06-18”),22.151,22.15],[new Date(“2018-06-19”),22.291,22.29],[new Date(“2018-06-20”),22.302,22.30],[new Date(“2018-06-21”),22.279,22.28],[new Date(“2018-06-22”),22.104,22.10],[new Date(“2018-06-23”),22.104,22.10],[new Date(“2018-06-24”),22.140,22.14],[new Date(“2018-06-25”),22.128,22.13],[new Date(“2018-06-26”),22.238,22.24],[new Date(“2018-06-27”),22.418,22.42],[new Date(“2018-06-28”),22.423,22.42],[new Date(“2018-06-29”),22.216,22.22],[new Date(“2018-06-30″),22.216,22.22],]);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(“2018-06-01”),22.118,22.12],[new Date(“2018-06-02”),22.118,22.12],[new Date(“2018-06-03”),22.122,22.12],[new Date(“2018-06-04”),21.964,21.96],[new Date(“2018-06-05”),21.844,21.84],[new Date(“2018-06-06”),21.787,21.79],[new Date(“2018-06-07”),21.851,21.85],[new Date(“2018-06-08”),21.865,21.87],[new Date(“2018-06-09”),21.865,21.87],[new Date(“2018-06-10”),21.851,21.85],[new Date(“2018-06-11”),21.756,21.76],[new Date(“2018-06-12”),21.864,21.86],[new Date(“2018-06-13”),21.762,21.76],[new Date(“2018-06-14”),22.246,22.25],[new Date(“2018-06-15”),22.146,22.15],[new Date(“2018-06-16”),22.146,22.15],[new Date(“2018-06-17”),22.167,22.17],[new Date(“2018-06-18”),22.151,22.15],[new Date(“2018-06-19”),22.291,22.29],[new Date(“2018-06-20”),22.302,22.30],[new Date(“2018-06-21”),22.279,22.28],[new Date(“2018-06-22”),22.104,22.10],[new Date(“2018-06-23”),22.104,22.10],[new Date(“2018-06-24”),22.140,22.14],[new Date(“2018-06-25”),22.128,22.13],[new Date(“2018-06-26”),22.238,22.24],[new Date(“2018-06-27”),22.418,22.42],[new Date(“2018-06-28”),22.423,22.42],[new Date(“2018-06-29”),22.216,22.22],[new Date(“2018-06-30″),22.216,22.22],]);var options = {
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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, 2018
01 21.4070
02 21.4165
↘0.009, 0.04%
03 21.2722
↗0.144, 0.67%
04 21.2740
↘0.002, 0.01%
05 21.2740
→0.000, 0.00%
06 21.2922
↘0.018, 0.09%
07 21.3817
↘0.090, 0.42%
08 21.5449
↘0.163, 0.76%
09 21.5750
↘0.030, 0.14%
10 21.3750
↗0.200, 0.93%
11 21.3280
↗0.047, 0.22%
12 21.3280
→0.000, 0.00%
13 21.3192
↗0.009, 0.04%
14 21.3450
↘0.026, 0.12%
15 21.5980
↘0.253, 1.19%
16 21.5909
↗0.007, 0.03%
17 21.6885
↘0.098, 0.45%
18 21.7670
↘0.079, 0.36%
19 21.7670
→0.000, 0.00%
20 21.7970
↘0.030, 0.14%
21 21.7810
↗0.016, 0.07%
22 21.7811
↘0.000, 0.00%
23 21.9956
↘0.214, 0.98%
24 21.9880
↗0.008, 0.03%
25 22.0680
↘0.080, 0.36%
26 22.0680
→0.000, 0.00%
27 21.9987
↗0.069, 0.31%
28 22.1210
↘0.122, 0.56%
29 22.4730
↘0.352, 1.59%
30 22.1610
↗0.312, 1.39%
31 22.0801
↗0.081, 0.37%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-05-01”),21.407,21.41],[new Date(“2018-05-02”),21.416,21.42],[new Date(“2018-05-03”),21.272,21.27],[new Date(“2018-05-04”),21.274,21.27],[new Date(“2018-05-05”),21.274,21.27],[new Date(“2018-05-06”),21.292,21.29],[new Date(“2018-05-07”),21.382,21.38],[new Date(“2018-05-08”),21.545,21.54],[new Date(“2018-05-09”),21.575,21.58],[new Date(“2018-05-10”),21.375,21.37],[new Date(“2018-05-11”),21.328,21.33],[new Date(“2018-05-12”),21.328,21.33],[new Date(“2018-05-13”),21.319,21.32],[new Date(“2018-05-14”),21.345,21.34],[new Date(“2018-05-15”),21.598,21.60],[new Date(“2018-05-16”),21.591,21.59],[new Date(“2018-05-17”),21.688,21.69],[new Date(“2018-05-18”),21.767,21.77],[new Date(“2018-05-19”),21.767,21.77],[new Date(“2018-05-20”),21.797,21.80],[new Date(“2018-05-21”),21.781,21.78],[new Date(“2018-05-22”),21.781,21.78],[new Date(“2018-05-23”),21.996,22.00],[new Date(“2018-05-24”),21.988,21.99],[new Date(“2018-05-25”),22.068,22.07],[new Date(“2018-05-26”),22.068,22.07],[new Date(“2018-05-27”),21.999,22.00],[new Date(“2018-05-28”),22.121,22.12],[new Date(“2018-05-29”),22.473,22.47],[new Date(“2018-05-30”),22.161,22.16],[new Date(“2018-05-31″),22.080,22.08],]);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(“2018-05-01”),21.407,21.41],[new Date(“2018-05-02”),21.416,21.42],[new Date(“2018-05-03”),21.272,21.27],[new Date(“2018-05-04”),21.274,21.27],[new Date(“2018-05-05”),21.274,21.27],[new Date(“2018-05-06”),21.292,21.29],[new Date(“2018-05-07”),21.382,21.38],[new Date(“2018-05-08”),21.545,21.54],[new Date(“2018-05-09”),21.575,21.58],[new Date(“2018-05-10”),21.375,21.37],[new Date(“2018-05-11”),21.328,21.33],[new Date(“2018-05-12”),21.328,21.33],[new Date(“2018-05-13”),21.319,21.32],[new Date(“2018-05-14”),21.345,21.34],[new Date(“2018-05-15”),21.598,21.60],[new Date(“2018-05-16”),21.591,21.59],[new Date(“2018-05-17”),21.688,21.69],[new Date(“2018-05-18”),21.767,21.77],[new Date(“2018-05-19”),21.767,21.77],[new Date(“2018-05-20”),21.797,21.80],[new Date(“2018-05-21”),21.781,21.78],[new Date(“2018-05-22”),21.781,21.78],[new Date(“2018-05-23”),21.996,22.00],[new Date(“2018-05-24”),21.988,21.99],[new Date(“2018-05-25”),22.068,22.07],[new Date(“2018-05-26”),22.068,22.07],[new Date(“2018-05-27”),21.999,22.00],[new Date(“2018-05-28”),22.121,22.12],[new Date(“2018-05-29”),22.473,22.47],[new Date(“2018-05-30”),22.161,22.16],[new Date(“2018-05-31″),22.080,22.08],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}
April, 2018
01 20.6173
02 20.6253
↘0.008, 0.04%
03 20.5960
↗0.029, 0.14%
04 20.6080
↘0.012, 0.06%
05 20.6713
↘0.063, 0.31%
06 20.6410
↗0.030, 0.15%
07 20.6410
→0.000, 0.00%
08 20.6787
↘0.038, 0.18%
09 20.5600
↗0.119, 0.57%
10 20.4685
↗0.092, 0.45%
11 20.4667
↗0.002, 0.01%
12 20.5249
↘0.058, 0.28%
13 20.4260
↗0.099, 0.48%
14 20.5050
↘0.079, 0.39%
15 20.5201
↘0.015, 0.07%
16 20.4003
↗0.120, 0.58%
17 20.4170
↘0.017, 0.08%
18 20.4321
↘0.015, 0.07%
19 20.4950
↘0.063, 0.31%
20 20.6100
↘0.115, 0.56%
21 20.6160
↘0.006, 0.03%
22 20.6597
↘0.044, 0.21%
23 20.8262
↘0.166, 0.81%
24 20.7837
↗0.042, 0.20%
25 20.9140
↘0.130, 0.63%
26 21.0360
↘0.122, 0.58%
27 20.9740
↗0.062, 0.29%
28 20.9740
→0.000, 0.00%
29 21.0017
↘0.028, 0.13%
30 21.1809
↘0.179, 0.85%
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(“2018-04-01”),20.617,20.62],[new Date(“2018-04-02”),20.625,20.63],[new Date(“2018-04-03”),20.596,20.60],[new Date(“2018-04-04”),20.608,20.61],[new Date(“2018-04-05”),20.671,20.67],[new Date(“2018-04-06”),20.641,20.64],[new Date(“2018-04-07”),20.641,20.64],[new Date(“2018-04-08”),20.679,20.68],[new Date(“2018-04-09”),20.560,20.56],[new Date(“2018-04-10”),20.468,20.47],[new Date(“2018-04-11”),20.467,20.47],[new Date(“2018-04-12”),20.525,20.52],[new Date(“2018-04-13”),20.426,20.43],[new Date(“2018-04-14”),20.505,20.50],[new Date(“2018-04-15”),20.520,20.52],[new Date(“2018-04-16”),20.400,20.40],[new Date(“2018-04-17”),20.417,20.42],[new Date(“2018-04-18”),20.432,20.43],[new Date(“2018-04-19”),20.495,20.50],[new Date(“2018-04-20”),20.610,20.61],[new Date(“2018-04-21”),20.616,20.62],[new Date(“2018-04-22”),20.660,20.66],[new Date(“2018-04-23”),20.826,20.83],[new Date(“2018-04-24”),20.784,20.78],[new Date(“2018-04-25”),20.914,20.91],[new Date(“2018-04-26”),21.036,21.04],[new Date(“2018-04-27”),20.974,20.97],[new Date(“2018-04-28”),20.974,20.97],[new Date(“2018-04-29”),21.002,21.00],[new Date(“2018-04-30″),21.181,21.18],]);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(“2018-04-01”),20.617,20.62],[new Date(“2018-04-02”),20.625,20.63],[new Date(“2018-04-03”),20.596,20.60],[new Date(“2018-04-04”),20.608,20.61],[new Date(“2018-04-05”),20.671,20.67],[new Date(“2018-04-06”),20.641,20.64],[new Date(“2018-04-07”),20.641,20.64],[new Date(“2018-04-08”),20.679,20.68],[new Date(“2018-04-09”),20.560,20.56],[new Date(“2018-04-10”),20.468,20.47],[new Date(“2018-04-11”),20.467,20.47],[new Date(“2018-04-12”),20.525,20.52],[new Date(“2018-04-13”),20.426,20.43],[new Date(“2018-04-14”),20.505,20.50],[new Date(“2018-04-15”),20.520,20.52],[new Date(“2018-04-16”),20.400,20.40],[new Date(“2018-04-17”),20.417,20.42],[new Date(“2018-04-18”),20.432,20.43],[new Date(“2018-04-19”),20.495,20.50],[new Date(“2018-04-20”),20.610,20.61],[new Date(“2018-04-21”),20.616,20.62],[new Date(“2018-04-22”),20.660,20.66],[new Date(“2018-04-23”),20.826,20.83],[new Date(“2018-04-24”),20.784,20.78],[new Date(“2018-04-25”),20.914,20.91],[new Date(“2018-04-26”),21.036,21.04],[new Date(“2018-04-27”),20.974,20.97],[new Date(“2018-04-28”),20.974,20.97],[new Date(“2018-04-29”),21.002,21.00],[new Date(“2018-04-30″),21.181,21.18],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}
March, 2018
01 20.7174
02 20.5640
↗0.153, 0.74%
03 20.5830
↘0.019, 0.09%
04 20.5835
↘0.000, 0.00%
05 20.5980
↘0.014, 0.07%
06 20.4529
↗0.145, 0.70%
07 20.4766
↘0.024, 0.12%
08 20.6468
↘0.170, 0.83%
09 20.6780
↘0.031, 0.15%
10 20.6780
→0.000, 0.00%
11 20.6956
↘0.018, 0.09%
12 20.6040
↗0.092, 0.44%
13 20.5713
↗0.033, 0.16%
14 20.5384
↗0.033, 0.16%
15 20.6304
↘0.092, 0.45%
16 20.6570
↘0.027, 0.13%
17 20.6570
→0.000, 0.00%
18 20.6845
↘0.027, 0.13%
19 20.5880
↗0.097, 0.47%
20 20.7290
↘0.141, 0.68%
21 20.5600
↗0.169, 0.82%
22 20.6159
↘0.056, 0.27%
23 20.5590
↗0.057, 0.28%
24 20.5590
→0.000, 0.00%
25 20.5850
↘0.026, 0.13%
26 20.4110
↗0.174, 0.85%
27 20.5309
↘0.120, 0.59%
28 20.6692
↘0.138, 0.67%
29 20.6229
↗0.046, 0.22%
30 20.5560
↗0.067, 0.32%
31 20.5560
→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(“2018-03-01”),20.717,20.72],[new Date(“2018-03-02”),20.564,20.56],[new Date(“2018-03-03”),20.583,20.58],[new Date(“2018-03-04”),20.584,20.58],[new Date(“2018-03-05”),20.598,20.60],[new Date(“2018-03-06”),20.453,20.45],[new Date(“2018-03-07”),20.477,20.48],[new Date(“2018-03-08”),20.647,20.65],[new Date(“2018-03-09”),20.678,20.68],[new Date(“2018-03-10”),20.678,20.68],[new Date(“2018-03-11”),20.696,20.70],[new Date(“2018-03-12”),20.604,20.60],[new Date(“2018-03-13”),20.571,20.57],[new Date(“2018-03-14”),20.538,20.54],[new Date(“2018-03-15”),20.630,20.63],[new Date(“2018-03-16”),20.657,20.66],[new Date(“2018-03-17”),20.657,20.66],[new Date(“2018-03-18”),20.685,20.68],[new Date(“2018-03-19”),20.588,20.59],[new Date(“2018-03-20”),20.729,20.73],[new Date(“2018-03-21”),20.560,20.56],[new Date(“2018-03-22”),20.616,20.62],[new Date(“2018-03-23”),20.559,20.56],[new Date(“2018-03-24”),20.559,20.56],[new Date(“2018-03-25”),20.585,20.58],[new Date(“2018-03-26”),20.411,20.41],[new Date(“2018-03-27”),20.531,20.53],[new Date(“2018-03-28”),20.669,20.67],[new Date(“2018-03-29”),20.623,20.62],[new Date(“2018-03-30”),20.556,20.56],[new Date(“2018-03-31″),20.556,20.56],]);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(“2018-03-01”),20.717,20.72],[new Date(“2018-03-02”),20.564,20.56],[new Date(“2018-03-03”),20.583,20.58],[new Date(“2018-03-04”),20.584,20.58],[new Date(“2018-03-05”),20.598,20.60],[new Date(“2018-03-06”),20.453,20.45],[new Date(“2018-03-07”),20.477,20.48],[new Date(“2018-03-08”),20.647,20.65],[new Date(“2018-03-09”),20.678,20.68],[new Date(“2018-03-10”),20.678,20.68],[new Date(“2018-03-11”),20.696,20.70],[new Date(“2018-03-12”),20.604,20.60],[new Date(“2018-03-13”),20.571,20.57],[new Date(“2018-03-14”),20.538,20.54],[new Date(“2018-03-15”),20.630,20.63],[new Date(“2018-03-16”),20.657,20.66],[new Date(“2018-03-17”),20.657,20.66],[new Date(“2018-03-18”),20.685,20.68],[new Date(“2018-03-19”),20.588,20.59],[new Date(“2018-03-20”),20.729,20.73],[new Date(“2018-03-21”),20.560,20.56],[new Date(“2018-03-22”),20.616,20.62],[new Date(“2018-03-23”),20.559,20.56],[new Date(“2018-03-24”),20.559,20.56],[new Date(“2018-03-25”),20.585,20.58],[new Date(“2018-03-26”),20.411,20.41],[new Date(“2018-03-27”),20.531,20.53],[new Date(“2018-03-28”),20.669,20.67],[new Date(“2018-03-29”),20.623,20.62],[new Date(“2018-03-30”),20.556,20.56],[new Date(“2018-03-31″),20.556,20.56],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}
February, 2018
01 20.1210
02 20.2220
↘0.101, 0.50%
03 20.2220
→0.000, 0.00%
04 20.2719
↘0.050, 0.25%
05 20.3650
↘0.093, 0.46%
06 20.3564
↗0.009, 0.04%
07 20.5858
↘0.229, 1.13%
08 20.6877
↘0.102, 0.49%
09 20.7504
↘0.063, 0.30%
10 20.7504
→0.000, 0.00%
11 20.7501
↗0.000, 0.00%
12 20.6106
↗0.140, 0.67%
13 20.5379
↗0.073, 0.35%
14 20.3438
↗0.194, 0.95%
15 20.2614
↗0.082, 0.41%
16 20.4250
↘0.164, 0.81%
17 20.4250
→0.000, 0.00%
18 20.4231
↗0.002, 0.01%
19 20.4055
↗0.018, 0.09%
20 20.5287
↘0.123, 0.60%
21 20.6404
↘0.112, 0.54%
22 20.5633
↗0.077, 0.37%
23 20.6100
↘0.047, 0.23%
24 20.6100
→0.000, 0.00%
25 20.6217
↘0.012, 0.06%
26 20.5939
↗0.028, 0.13%
27 20.7802
↘0.186, 0.90%
28 20.8499
↘0.070, 0.34%
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(“2018-02-01”),20.121,20.12],[new Date(“2018-02-02”),20.222,20.22],[new Date(“2018-02-03”),20.222,20.22],[new Date(“2018-02-04”),20.272,20.27],[new Date(“2018-02-05”),20.365,20.37],[new Date(“2018-02-06”),20.356,20.36],[new Date(“2018-02-07”),20.586,20.59],[new Date(“2018-02-08”),20.688,20.69],[new Date(“2018-02-09”),20.750,20.75],[new Date(“2018-02-10”),20.750,20.75],[new Date(“2018-02-11”),20.750,20.75],[new Date(“2018-02-12”),20.611,20.61],[new Date(“2018-02-13”),20.538,20.54],[new Date(“2018-02-14”),20.344,20.34],[new Date(“2018-02-15”),20.261,20.26],[new Date(“2018-02-16”),20.425,20.42],[new Date(“2018-02-17”),20.425,20.42],[new Date(“2018-02-18”),20.423,20.42],[new Date(“2018-02-19”),20.406,20.41],[new Date(“2018-02-20”),20.529,20.53],[new Date(“2018-02-21”),20.640,20.64],[new Date(“2018-02-22”),20.563,20.56],[new Date(“2018-02-23”),20.610,20.61],[new Date(“2018-02-24”),20.610,20.61],[new Date(“2018-02-25”),20.622,20.62],[new Date(“2018-02-26”),20.594,20.59],[new Date(“2018-02-27”),20.780,20.78],[new Date(“2018-02-28″),20.850,20.85],]);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_2’));
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”);
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January, 2018
01 21.2666
02 21.1355
↗0.131, 0.62%
03 21.2246
↘0.089, 0.42%
04 21.1515
↗0.073, 0.34%
05 21.1980
↘0.047, 0.22%
06 21.1980
→0.000, 0.00%
07 21.1970
↗0.001, 0.00%
08 21.3329
↘0.136, 0.64%
09 21.3950
↘0.062, 0.29%
10 21.3592
↗0.036, 0.17%
11 21.1682
↗0.191, 0.89%
12 20.9260
↗0.242, 1.14%
13 20.9260
→0.000, 0.00%
14 20.9127
↗0.013, 0.06%
15 20.8078
↗0.105, 0.50%
16 20.7155
↗0.092, 0.44%
17 20.8153
↘0.100, 0.48%
18 20.7147
↗0.101, 0.48%
19 20.7660
↘0.051, 0.25%
20 20.7660
→0.000, 0.00%
21 20.7303
↗0.036, 0.17%
22 20.7233
↗0.007, 0.03%
23 20.6123
↗0.111, 0.54%
24 20.4842
↗0.128, 0.62%
25 20.4457
↗0.038, 0.19%
26 20.3690
↗0.077, 0.38%
27 20.3690
→0.000, 0.00%
28 20.3582
↗0.011, 0.05%
29 20.4220
↘0.064, 0.31%
30 20.3890
↗0.033, 0.16%
31 20.3585
↗0.030, 0.15%
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