Czech Republic Koruna CZK 2019 Conversion Rates
- Opening Value is 22.455402 CZK per Dollar
- Closing Value is 22.667899 CZK per Dollar
- Change in Value during 2019 is 0.2125 which is 0.95%
- Best Performance is on 2019-01-09 with 22.187400 CZK per Dollar
- Lowest Performance is on 2019-09-30 with 23.673503 CZK per Dollar
- Average Value is 22.9286 CZK per Dollar
- Swing Between the higest and the lowest is 1.4861 per Dollar, that is 6.62% compared to the opening value.
USD to CZK Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2019-12-31 | 22.6679 CZK |
| 2019-11-30 | 23.1762 CZK |
| 2019-10-31 | 22.8679 CZK |
| 2019-09-30 | 23.6735 CZK |
| 2019-08-31 | 23.6086 CZK |
| 2019-07-31 | 23.2190 CZK |
| 2019-06-30 | 22.3831 CZK |
| 2019-05-31 | 23.1428 CZK |
| 2019-04-30 | 22.8582 CZK |
| 2019-03-31 | 23.0012 CZK |
| 2019-02-28 | 22.5345 CZK |
| 2019-01-31 | 22.4997 CZK |
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December, 2019
01 23.1816
02 23.0672
↗0.114, 0.49%
03 23.0325
↗0.035, 0.15%
04 23.0585
↘0.026, 0.11%
05 23.0063
↗0.052, 0.23%
06 23.0798
↘0.074, 0.32%
07 23.0798
→0.000, 0.00%
08 23.0830
↘0.003, 0.01%
09 23.0672
↗0.016, 0.07%
10 23.0160
↗0.051, 0.22%
11 22.9155
↗0.100, 0.44%
12 22.8208
↗0.095, 0.41%
13 22.9079
↘0.087, 0.38%
14 22.9079
→0.000, 0.00%
15 22.9109
↘0.003, 0.01%
16 22.8418
↗0.069, 0.30%
17 22.8111
↗0.031, 0.13%
18 22.9244
↘0.113, 0.50%
19 22.8447
↗0.080, 0.35%
20 22.9698
↘0.125, 0.55%
21 22.9698
→0.000, 0.00%
22 22.9720
↘0.002, 0.01%
23 22.9796
↘0.008, 0.03%
24 23.0053
↘0.026, 0.11%
25 22.9970
↗0.008, 0.04%
26 22.9336
↗0.063, 0.28%
27 22.7807
↗0.153, 0.67%
28 22.7807
→0.000, 0.00%
29 22.7540
↗0.027, 0.12%
30 22.6830
↗0.071, 0.31%
31 22.6679
↗0.015, 0.07%
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November, 2019
01 22.8455
02 22.8450
↗0.000, 0.00%
03 22.8484
↘0.003, 0.01%
04 22.9432
↘0.095, 0.41%
05 23.0338
↘0.091, 0.39%
06 23.0654
↘0.032, 0.14%
07 23.1083
↘0.043, 0.19%
08 23.1279
↘0.020, 0.08%
09 23.1279
→0.000, 0.00%
10 23.1220
↗0.006, 0.03%
11 23.1149
↗0.007, 0.03%
12 23.2060
↘0.091, 0.39%
13 23.2253
↘0.019, 0.08%
14 23.2240
↗0.001, 0.01%
15 23.1576
↗0.066, 0.29%
16 23.1560
↗0.002, 0.01%
17 23.1580
↘0.002, 0.01%
18 23.0932
↗0.065, 0.28%
19 23.0668
↗0.026, 0.11%
20 23.0402
↗0.027, 0.12%
21 23.0708
↘0.031, 0.13%
22 23.1384
↘0.068, 0.29%
23 23.1384
→0.000, 0.00%
24 23.1380
↗0.000, 0.00%
25 23.1585
↘0.020, 0.09%
26 23.1344
↗0.024, 0.10%
27 23.1978
↘0.063, 0.27%
28 23.2233
↘0.025, 0.11%
29 23.1761
↗0.047, 0.20%
30 23.1762
↘0.000, 0.00%
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October, 2019
01 23.5772
02 23.5221
↗0.055, 0.23%
03 23.4340
↗0.088, 0.37%
04 23.4261
↗0.008, 0.03%
05 23.4340
↘0.008, 0.03%
06 23.4266
↗0.007, 0.03%
07 23.4873
↘0.061, 0.26%
08 23.5309
↘0.044, 0.19%
09 23.4888
↗0.042, 0.18%
10 23.4579
↗0.031, 0.13%
11 23.3857
↗0.072, 0.31%
12 23.3857
→0.000, 0.00%
13 23.4080
↘0.022, 0.10%
14 23.4247
↘0.017, 0.07%
15 23.3670
↗0.058, 0.25%
16 23.2628
↗0.104, 0.45%
17 23.1018
↗0.161, 0.69%
18 22.9589
↗0.143, 0.62%
19 22.9589
→0.000, 0.00%
20 22.9837
↘0.025, 0.11%
21 22.9414
↗0.042, 0.18%
22 22.9742
↘0.033, 0.14%
23 22.9982
↘0.024, 0.10%
24 23.0621
↘0.064, 0.28%
25 23.0605
↗0.002, 0.01%
26 23.0605
→0.000, 0.00%
27 23.0525
↗0.008, 0.03%
28 22.9954
↗0.057, 0.25%
29 22.9853
↗0.010, 0.04%
30 22.8910
↗0.094, 0.41%
31 22.8679
↗0.023, 0.10%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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September, 2019
01 23.6051
02 23.6135
↘0.008, 0.04%
03 23.5556
↗0.058, 0.25%
04 23.4348
↗0.121, 0.51%
05 23.4124
↗0.022, 0.10%
06 23.4444
↘0.032, 0.14%
07 23.4480
↘0.004, 0.02%
08 23.4607
↘0.013, 0.05%
09 23.3948
↗0.066, 0.28%
10 23.4045
↘0.010, 0.04%
11 23.5096
↘0.105, 0.45%
12 23.3724
↗0.137, 0.58%
13 23.3431
↗0.029, 0.13%
14 23.3431
→0.000, 0.00%
15 23.3302
↗0.013, 0.06%
16 23.5017
↘0.172, 0.74%
17 23.3944
↗0.107, 0.46%
18 23.4717
↘0.077, 0.33%
19 23.4494
↗0.022, 0.10%
20 23.4731
↘0.024, 0.10%
21 23.4731
→0.000, 0.00%
22 23.4740
↘0.001, 0.00%
23 23.5387
↘0.065, 0.28%
24 23.4932
↗0.046, 0.19%
25 23.5158
↘0.023, 0.10%
26 23.6560
↘0.140, 0.60%
27 23.6172
↗0.039, 0.16%
28 23.6180
↘0.001, 0.00%
29 23.6248
↘0.007, 0.03%
30 23.6735
↘0.049, 0.21%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
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(“2019-09-01”),23.605,23.61],[new Date(“2019-09-02”),23.613,23.61],[new Date(“2019-09-03”),23.556,23.56],[new Date(“2019-09-04”),23.435,23.43],[new Date(“2019-09-05”),23.412,23.41],[new Date(“2019-09-06”),23.444,23.44],[new Date(“2019-09-07”),23.448,23.45],[new Date(“2019-09-08”),23.461,23.46],[new Date(“2019-09-09”),23.395,23.39],[new Date(“2019-09-10”),23.404,23.40],[new Date(“2019-09-11”),23.510,23.51],[new Date(“2019-09-12”),23.372,23.37],[new Date(“2019-09-13”),23.343,23.34],[new Date(“2019-09-14”),23.343,23.34],[new Date(“2019-09-15”),23.330,23.33],[new Date(“2019-09-16”),23.502,23.50],[new Date(“2019-09-17”),23.394,23.39],[new Date(“2019-09-18”),23.472,23.47],[new Date(“2019-09-19”),23.449,23.45],[new Date(“2019-09-20”),23.473,23.47],[new Date(“2019-09-21”),23.473,23.47],[new Date(“2019-09-22”),23.474,23.47],[new Date(“2019-09-23”),23.539,23.54],[new Date(“2019-09-24”),23.493,23.49],[new Date(“2019-09-25”),23.516,23.52],[new Date(“2019-09-26”),23.656,23.66],[new Date(“2019-09-27”),23.617,23.62],[new Date(“2019-09-28”),23.618,23.62],[new Date(“2019-09-29”),23.625,23.62],[new Date(“2019-09-30″),23.674,23.67],]);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_9’));
chart.draw(data, options);
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August, 2019
01 23.2850
02 23.1796
↗0.105, 0.45%
03 23.1796
→0.000, 0.00%
04 23.1860
↘0.006, 0.03%
05 22.9568
↗0.229, 0.99%
06 22.9758
↘0.019, 0.08%
07 23.0011
↘0.025, 0.11%
08 23.0549
↘0.054, 0.23%
09 23.0814
↘0.027, 0.11%
10 23.0814
→0.000, 0.00%
11 23.0365
↗0.045, 0.19%
12 23.0417
↘0.005, 0.02%
13 23.1134
↘0.072, 0.31%
14 23.2236
↘0.110, 0.48%
15 23.2623
↘0.039, 0.17%
16 23.2122
↗0.050, 0.22%
17 23.2122
→0.000, 0.00%
18 23.2060
↗0.006, 0.03%
19 23.2818
↘0.076, 0.33%
20 23.2366
↗0.045, 0.19%
21 23.2552
↘0.019, 0.08%
22 23.2616
↘0.006, 0.03%
23 23.1915
↗0.070, 0.30%
24 23.2020
↘0.011, 0.05%
25 23.2270
↘0.025, 0.11%
26 23.2403
↘0.013, 0.06%
27 23.3002
↘0.060, 0.26%
28 23.3510
↘0.051, 0.22%
29 23.4145
↘0.064, 0.27%
30 23.6086
↘0.194, 0.83%
31 23.6086
→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”),23.285,23.28],[new Date(“2019-08-02”),23.180,23.18],[new Date(“2019-08-03”),23.180,23.18],[new Date(“2019-08-04”),23.186,23.19],[new Date(“2019-08-05”),22.957,22.96],[new Date(“2019-08-06”),22.976,22.98],[new Date(“2019-08-07”),23.001,23.00],[new Date(“2019-08-08”),23.055,23.05],[new Date(“2019-08-09”),23.081,23.08],[new Date(“2019-08-10”),23.081,23.08],[new Date(“2019-08-11”),23.037,23.04],[new Date(“2019-08-12”),23.042,23.04],[new Date(“2019-08-13”),23.113,23.11],[new Date(“2019-08-14”),23.224,23.22],[new Date(“2019-08-15”),23.262,23.26],[new Date(“2019-08-16”),23.212,23.21],[new Date(“2019-08-17”),23.212,23.21],[new Date(“2019-08-18”),23.206,23.21],[new Date(“2019-08-19”),23.282,23.28],[new Date(“2019-08-20”),23.237,23.24],[new Date(“2019-08-21”),23.255,23.26],[new Date(“2019-08-22”),23.262,23.26],[new Date(“2019-08-23”),23.192,23.19],[new Date(“2019-08-24”),23.202,23.20],[new Date(“2019-08-25”),23.227,23.23],[new Date(“2019-08-26”),23.240,23.24],[new Date(“2019-08-27”),23.300,23.30],[new Date(“2019-08-28”),23.351,23.35],[new Date(“2019-08-29”),23.414,23.41],[new Date(“2019-08-30”),23.609,23.61],[new Date(“2019-08-31″),23.609,23.61],]);var options = {
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
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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title: ‘Date’
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
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July, 2019
01 22.5450
02 22.5379
↗0.007, 0.03%
03 22.5408
↘0.003, 0.01%
04 22.5684
↘0.028, 0.12%
05 22.7186
↘0.150, 0.67%
06 22.7186
→0.000, 0.00%
07 22.7176
↗0.001, 0.00%
08 22.7533
↘0.036, 0.16%
09 22.8083
↘0.055, 0.24%
10 22.7234
↗0.085, 0.37%
11 22.7563
↘0.033, 0.14%
12 22.7034
↗0.053, 0.23%
13 22.7034
→0.000, 0.00%
14 22.6966
↗0.007, 0.03%
15 22.7251
↘0.028, 0.13%
16 22.8231
↘0.098, 0.43%
17 22.8163
↗0.007, 0.03%
18 22.6892
↗0.127, 0.56%
19 22.7497
↘0.061, 0.27%
20 22.7630
↘0.013, 0.06%
21 22.7697
↘0.007, 0.03%
22 22.7925
↘0.023, 0.10%
23 22.9187
↘0.126, 0.55%
24 22.8975
↗0.021, 0.09%
25 22.9059
↘0.008, 0.04%
26 22.9808
↘0.075, 0.33%
27 22.9808
→0.000, 0.00%
28 22.9687
↗0.012, 0.05%
29 23.0227
↘0.054, 0.24%
30 23.0013
↗0.021, 0.09%
31 23.2190
↘0.218, 0.95%
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”),22.545,22.54],[new Date(“2019-07-02”),22.538,22.54],[new Date(“2019-07-03”),22.541,22.54],[new Date(“2019-07-04”),22.568,22.57],[new Date(“2019-07-05”),22.719,22.72],[new Date(“2019-07-06”),22.719,22.72],[new Date(“2019-07-07”),22.718,22.72],[new Date(“2019-07-08”),22.753,22.75],[new Date(“2019-07-09”),22.808,22.81],[new Date(“2019-07-10”),22.723,22.72],[new Date(“2019-07-11”),22.756,22.76],[new Date(“2019-07-12”),22.703,22.70],[new Date(“2019-07-13”),22.703,22.70],[new Date(“2019-07-14”),22.697,22.70],[new Date(“2019-07-15”),22.725,22.73],[new Date(“2019-07-16”),22.823,22.82],[new Date(“2019-07-17”),22.816,22.82],[new Date(“2019-07-18”),22.689,22.69],[new Date(“2019-07-19”),22.750,22.75],[new Date(“2019-07-20”),22.763,22.76],[new Date(“2019-07-21”),22.770,22.77],[new Date(“2019-07-22”),22.792,22.79],[new Date(“2019-07-23”),22.919,22.92],[new Date(“2019-07-24”),22.897,22.90],[new Date(“2019-07-25”),22.906,22.91],[new Date(“2019-07-26”),22.981,22.98],[new Date(“2019-07-27”),22.981,22.98],[new Date(“2019-07-28”),22.969,22.97],[new Date(“2019-07-29”),23.023,23.02],[new Date(“2019-07-30”),23.001,23.00],[new Date(“2019-07-31″),23.219,23.22],]);var options = {
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chart.draw(data, options);
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-07-01”),22.545,22.54],[new Date(“2019-07-02”),22.538,22.54],[new Date(“2019-07-03”),22.541,22.54],[new Date(“2019-07-04”),22.568,22.57],[new Date(“2019-07-05”),22.719,22.72],[new Date(“2019-07-06”),22.719,22.72],[new Date(“2019-07-07”),22.718,22.72],[new Date(“2019-07-08”),22.753,22.75],[new Date(“2019-07-09”),22.808,22.81],[new Date(“2019-07-10”),22.723,22.72],[new Date(“2019-07-11”),22.756,22.76],[new Date(“2019-07-12”),22.703,22.70],[new Date(“2019-07-13”),22.703,22.70],[new Date(“2019-07-14”),22.697,22.70],[new Date(“2019-07-15”),22.725,22.73],[new Date(“2019-07-16”),22.823,22.82],[new Date(“2019-07-17”),22.816,22.82],[new Date(“2019-07-18”),22.689,22.69],[new Date(“2019-07-19”),22.750,22.75],[new Date(“2019-07-20”),22.763,22.76],[new Date(“2019-07-21”),22.770,22.77],[new Date(“2019-07-22”),22.792,22.79],[new Date(“2019-07-23”),22.919,22.92],[new Date(“2019-07-24”),22.897,22.90],[new Date(“2019-07-25”),22.906,22.91],[new Date(“2019-07-26”),22.981,22.98],[new Date(“2019-07-27”),22.981,22.98],[new Date(“2019-07-28”),22.969,22.97],[new Date(“2019-07-29”),23.023,23.02],[new Date(“2019-07-30”),23.001,23.00],[new Date(“2019-07-31″),23.219,23.22],]);var options = {
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‘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 23.1428
02 23.1210
↗0.022, 0.09%
03 22.9438
↗0.177, 0.77%
04 22.8511
↗0.093, 0.40%
05 22.8540
↘0.003, 0.01%
06 22.7332
↗0.121, 0.53%
07 22.5950
↗0.138, 0.61%
08 22.5950
→0.000, 0.00%
09 22.6336
↘0.039, 0.17%
10 22.6491
↘0.016, 0.07%
11 22.6069
↗0.042, 0.19%
12 22.6570
↘0.050, 0.22%
13 22.6581
↘0.001, 0.00%
14 22.7934
↘0.135, 0.60%
15 22.7830
↗0.010, 0.05%
16 22.7690
↗0.014, 0.06%
17 22.7806
↘0.012, 0.05%
18 22.8694
↘0.089, 0.39%
19 22.8213
↗0.048, 0.21%
20 22.6559
↗0.165, 0.72%
21 22.5231
↗0.133, 0.59%
22 22.5231
→0.000, 0.00%
23 22.4913
↗0.032, 0.14%
24 22.4244
↗0.067, 0.30%
25 22.3789
↗0.045, 0.20%
26 22.3584
↗0.021, 0.09%
27 22.3767
↘0.018, 0.08%
28 22.3564
↗0.020, 0.09%
29 22.3564
→0.000, 0.00%
30 22.3831
↘0.027, 0.12%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-06-01”),23.143,23.14],[new Date(“2019-06-02”),23.121,23.12],[new Date(“2019-06-03”),22.944,22.94],[new Date(“2019-06-04”),22.851,22.85],[new Date(“2019-06-05”),22.854,22.85],[new Date(“2019-06-06”),22.733,22.73],[new Date(“2019-06-07”),22.595,22.60],[new Date(“2019-06-08”),22.595,22.60],[new Date(“2019-06-09”),22.634,22.63],[new Date(“2019-06-10”),22.649,22.65],[new Date(“2019-06-11”),22.607,22.61],[new Date(“2019-06-12”),22.657,22.66],[new Date(“2019-06-13”),22.658,22.66],[new Date(“2019-06-14”),22.793,22.79],[new Date(“2019-06-15”),22.783,22.78],[new Date(“2019-06-16”),22.769,22.77],[new Date(“2019-06-17”),22.781,22.78],[new Date(“2019-06-18”),22.869,22.87],[new Date(“2019-06-19”),22.821,22.82],[new Date(“2019-06-20”),22.656,22.66],[new Date(“2019-06-21”),22.523,22.52],[new Date(“2019-06-22”),22.523,22.52],[new Date(“2019-06-23”),22.491,22.49],[new Date(“2019-06-24”),22.424,22.42],[new Date(“2019-06-25”),22.379,22.38],[new Date(“2019-06-26”),22.358,22.36],[new Date(“2019-06-27”),22.377,22.38],[new Date(“2019-06-28”),22.356,22.36],[new Date(“2019-06-29”),22.356,22.36],[new Date(“2019-06-30″),22.383,22.38],]);var options = {
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
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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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chart.draw(data, options);
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May, 2019
01 22.8803
02 23.0009
↘0.121, 0.53%
03 22.9511
↗0.050, 0.22%
04 22.9511
→0.000, 0.00%
05 22.9670
↘0.016, 0.07%
06 22.9570
↗0.010, 0.04%
07 22.9908
↘0.034, 0.15%
08 22.9734
↗0.017, 0.08%
09 22.9421
↗0.031, 0.14%
10 22.8966
↗0.045, 0.20%
11 22.8966
→0.000, 0.00%
12 22.9083
↘0.012, 0.05%
13 22.9411
↘0.033, 0.14%
14 22.9819
↘0.041, 0.18%
15 22.9517
↗0.030, 0.13%
16 23.0144
↘0.063, 0.27%
17 23.0791
↘0.065, 0.28%
18 23.0791
→0.000, 0.00%
19 23.0833
↘0.004, 0.02%
20 23.0828
↗0.000, 0.00%
21 23.0878
↘0.005, 0.02%
22 23.1401
↘0.052, 0.23%
23 23.1263
↗0.014, 0.06%
24 23.0479
↗0.078, 0.34%
25 23.0630
↘0.015, 0.07%
26 23.0505
↗0.013, 0.05%
27 23.0848
↘0.034, 0.15%
28 23.1508
↘0.066, 0.29%
29 23.2193
↘0.068, 0.30%
30 23.2101
↗0.009, 0.04%
31 23.1428
↗0.067, 0.29%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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chart.draw(data, options);
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var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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title: ‘Date’
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vAxis: {
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
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April, 2019
01 22.9974
02 22.9731
↗0.024, 0.11%
03 22.8563
↗0.117, 0.51%
04 22.8696
↘0.013, 0.06%
05 22.8586
↗0.011, 0.05%
06 22.8586
→0.000, 0.00%
07 22.8592
↘0.001, 0.00%
08 22.7669
↗0.092, 0.40%
09 22.7488
↗0.018, 0.08%
10 22.6984
↗0.050, 0.22%
11 22.7422
↘0.044, 0.19%
12 22.6689
↗0.073, 0.32%
13 22.6690
↘0.000, 0.00%
14 22.6552
↗0.014, 0.06%
15 22.6835
↘0.028, 0.12%
16 22.7522
↘0.069, 0.30%
17 22.7183
↗0.034, 0.15%
18 22.8695
↘0.151, 0.67%
19 22.8501
↗0.019, 0.08%
20 22.8501
→0.000, 0.00%
21 22.8529
↘0.003, 0.01%
22 22.8348
↗0.018, 0.08%
23 22.9277
↘0.093, 0.41%
24 23.0852
↘0.158, 0.69%
25 23.0946
↘0.009, 0.04%
26 23.0589
↗0.036, 0.15%
27 23.0640
↘0.005, 0.02%
28 23.0490
↗0.015, 0.07%
29 22.9450
↗0.104, 0.45%
30 22.8582
↗0.087, 0.38%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2019-04-01”),22.997,23.00],[new Date(“2019-04-02”),22.973,22.97],[new Date(“2019-04-03”),22.856,22.86],[new Date(“2019-04-04”),22.870,22.87],[new Date(“2019-04-05”),22.859,22.86],[new Date(“2019-04-06”),22.859,22.86],[new Date(“2019-04-07”),22.859,22.86],[new Date(“2019-04-08”),22.767,22.77],[new Date(“2019-04-09”),22.749,22.75],[new Date(“2019-04-10”),22.698,22.70],[new Date(“2019-04-11”),22.742,22.74],[new Date(“2019-04-12”),22.669,22.67],[new Date(“2019-04-13”),22.669,22.67],[new Date(“2019-04-14”),22.655,22.66],[new Date(“2019-04-15”),22.684,22.68],[new Date(“2019-04-16”),22.752,22.75],[new Date(“2019-04-17”),22.718,22.72],[new Date(“2019-04-18”),22.869,22.87],[new Date(“2019-04-19”),22.850,22.85],[new Date(“2019-04-20”),22.850,22.85],[new Date(“2019-04-21”),22.853,22.85],[new Date(“2019-04-22”),22.835,22.83],[new Date(“2019-04-23”),22.928,22.93],[new Date(“2019-04-24”),23.085,23.09],[new Date(“2019-04-25”),23.095,23.09],[new Date(“2019-04-26”),23.059,23.06],[new Date(“2019-04-27”),23.064,23.06],[new Date(“2019-04-28”),23.049,23.05],[new Date(“2019-04-29”),22.945,22.94],[new Date(“2019-04-30″),22.858,22.86],]);var options = {
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
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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hAxis: {
title: ‘Date’
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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_4’));
chart.draw(data, options);
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March, 2019
01 22.5498
02 22.5498
→0.000, 0.00%
03 22.5294
↗0.020, 0.09%
04 22.6041
↘0.075, 0.33%
05 22.6643
↘0.060, 0.27%
06 22.6267
↗0.038, 0.17%
07 22.8842
↘0.257, 1.14%
08 22.8290
↗0.055, 0.24%
09 22.8290
→0.000, 0.00%
10 22.8235
↗0.006, 0.02%
11 22.7859
↗0.038, 0.16%
12 22.7353
↗0.051, 0.22%
13 22.6469
↗0.088, 0.39%
14 22.6986
↘0.052, 0.23%
15 22.6287
↗0.070, 0.31%
16 22.6287
→0.000, 0.00%
17 22.6576
↘0.029, 0.13%
18 22.5925
↗0.065, 0.29%
19 22.5622
↗0.030, 0.13%
20 22.4388
↗0.123, 0.55%
21 22.5650
↘0.126, 0.56%
22 22.7904
↘0.225, 1.00%
23 22.7880
↗0.002, 0.01%
24 22.8032
↘0.015, 0.07%
25 22.7599
↗0.043, 0.19%
26 22.8373
↘0.077, 0.34%
27 22.8994
↘0.062, 0.27%
28 22.9894
↘0.090, 0.39%
29 23.0176
↘0.028, 0.12%
30 23.0176
→0.000, 0.00%
31 23.0012
↗0.016, 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(“2019-03-01”),22.550,22.55],[new Date(“2019-03-02”),22.550,22.55],[new Date(“2019-03-03”),22.529,22.53],[new Date(“2019-03-04”),22.604,22.60],[new Date(“2019-03-05”),22.664,22.66],[new Date(“2019-03-06”),22.627,22.63],[new Date(“2019-03-07”),22.884,22.88],[new Date(“2019-03-08”),22.829,22.83],[new Date(“2019-03-09”),22.829,22.83],[new Date(“2019-03-10”),22.824,22.82],[new Date(“2019-03-11”),22.786,22.79],[new Date(“2019-03-12”),22.735,22.74],[new Date(“2019-03-13”),22.647,22.65],[new Date(“2019-03-14”),22.699,22.70],[new Date(“2019-03-15”),22.629,22.63],[new Date(“2019-03-16”),22.629,22.63],[new Date(“2019-03-17”),22.658,22.66],[new Date(“2019-03-18”),22.592,22.59],[new Date(“2019-03-19”),22.562,22.56],[new Date(“2019-03-20”),22.439,22.44],[new Date(“2019-03-21”),22.565,22.56],[new Date(“2019-03-22”),22.790,22.79],[new Date(“2019-03-23”),22.788,22.79],[new Date(“2019-03-24”),22.803,22.80],[new Date(“2019-03-25”),22.760,22.76],[new Date(“2019-03-26”),22.837,22.84],[new Date(“2019-03-27”),22.899,22.90],[new Date(“2019-03-28”),22.989,22.99],[new Date(“2019-03-29”),23.018,23.02],[new Date(“2019-03-30”),23.018,23.02],[new Date(“2019-03-31″),23.001,23.00],]);var options = {
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title: ‘Date’
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‘colors’:[”]
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chart.draw(data, options);
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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February, 2019
01 22.4450
02 22.4450
→0.000, 0.00%
03 22.4333
↗0.012, 0.05%
04 22.4569
↘0.024, 0.11%
05 22.5391
↘0.082, 0.37%
06 22.6967
↘0.158, 0.70%
07 22.7429
↘0.046, 0.20%
08 22.8020
↘0.059, 0.26%
09 22.7904
↗0.012, 0.05%
10 22.7956
↘0.005, 0.02%
11 22.9470
↘0.151, 0.66%
12 22.8120
↗0.135, 0.59%
13 22.9019
↘0.090, 0.39%
14 22.8293
↗0.073, 0.32%
15 22.7251
↗0.104, 0.46%
16 22.7251
→0.000, 0.00%
17 22.7292
↘0.004, 0.02%
18 22.7340
↘0.005, 0.02%
19 22.6421
↗0.092, 0.40%
20 22.6150
↗0.027, 0.12%
21 22.6105
↗0.005, 0.02%
22 22.6316
↘0.021, 0.09%
23 22.6404
↘0.009, 0.04%
24 22.6170
↗0.023, 0.10%
25 22.5657
↗0.051, 0.23%
26 22.4961
↗0.070, 0.31%
27 22.5363
↘0.040, 0.18%
28 22.5345
↗0.002, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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January, 2019
01 22.4554
02 22.7557
↘0.300, 1.34%
03 22.5211
↗0.235, 1.03%
04 22.4298
↗0.091, 0.41%
05 22.4298
→0.000, 0.00%
06 22.4193
↗0.010, 0.05%
07 22.2777
↗0.142, 0.63%
08 22.3848
↘0.107, 0.48%
09 22.1874
↗0.197, 0.88%
10 22.2263
↘0.039, 0.18%
11 22.2861
↘0.060, 0.27%
12 22.2861
→0.000, 0.00%
13 22.3116
↘0.025, 0.11%
14 22.2679
↗0.044, 0.20%
15 22.3767
↘0.109, 0.49%
16 22.4040
↘0.027, 0.12%
17 22.4150
↘0.011, 0.05%
18 22.5123
↘0.097, 0.43%
19 22.5123
→0.000, 0.00%
20 22.5028
↗0.010, 0.04%
21 22.5084
↘0.006, 0.02%
22 22.5512
↘0.043, 0.19%
23 22.5702
↘0.019, 0.08%
24 22.7443
↘0.174, 0.77%
25 22.4978
↗0.246, 1.08%
26 22.5110
↘0.013, 0.06%
27 22.4866
↗0.024, 0.11%
28 22.5401
↘0.053, 0.24%
29 22.5344
↗0.006, 0.03%
30 22.4461
↗0.088, 0.39%
31 22.4997
↘0.054, 0.24%
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