Czech Republic Koruna CZK 2014 Conversion Rates
- Opening Value is 19.879890 CZK per Dollar
- Closing Value is 22.865520 CZK per Dollar
- Change in Value during 2014 is 2.9856 which is 15.02%
- Best Performance is on 2014-03-14 with 19.663470 CZK per Dollar
- Lowest Performance is on 2014-12-31 with 22.865520 CZK per Dollar
- Average Value is 20.7611 CZK per Dollar
- Swing Between the higest and the lowest is 3.2021 per Dollar, that is 16.11% compared to the opening value.
USD to CZK Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2014-12-31 | 22.8655 CZK |
| 2014-11-30 | 22.1688 CZK |
| 2014-10-31 | 22.1508 CZK |
| 2014-09-30 | 21.7588 CZK |
| 2014-08-31 | 21.1119 CZK |
| 2014-07-31 | 20.6443 CZK |
| 2014-06-30 | 20.0623 CZK |
| 2014-05-31 | 20.1622 CZK |
| 2014-04-30 | 19.8012 CZK |
| 2014-03-31 | 19.9329 CZK |
| 2014-02-28 | 19.8339 CZK |
| 2014-01-31 | 20.3807 CZK |
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December, 2014
01 22.1345
02 22.2553
↘0.121, 0.55%
03 22.3367
↘0.081, 0.37%
04 22.2959
↗0.041, 0.18%
05 22.4018
↘0.106, 0.48%
06 22.3998
↗0.002, 0.01%
07 22.4177
↘0.018, 0.08%
08 22.4346
↘0.017, 0.08%
09 22.3431
↗0.091, 0.41%
10 22.2263
↗0.117, 0.52%
11 22.2645
↘0.038, 0.17%
12 22.1482
↗0.116, 0.52%
13 22.1457
↗0.002, 0.01%
14 22.1228
↗0.023, 0.10%
15 22.1532
↘0.030, 0.14%
16 22.0698
↗0.083, 0.38%
17 22.3111
↘0.241, 1.09%
18 22.4017
↘0.091, 0.41%
19 22.5470
↘0.145, 0.65%
20 22.5644
↘0.017, 0.08%
21 22.5855
↘0.021, 0.09%
22 22.5752
↗0.010, 0.05%
23 22.7273
↘0.152, 0.67%
24 22.7153
↗0.012, 0.05%
25 22.7125
↗0.003, 0.01%
26 22.7998
↘0.087, 0.38%
27 22.8062
↘0.006, 0.03%
28 22.7940
↗0.012, 0.05%
29 22.7858
↗0.008, 0.04%
30 22.7919
↘0.006, 0.03%
31 22.8655
↘0.074, 0.32%
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November, 2014
01 22.1951
02 22.2160
↘0.021, 0.09%
03 22.2350
↘0.019, 0.09%
04 22.1455
↗0.090, 0.40%
05 22.2478
↘0.102, 0.46%
06 22.3890
↘0.141, 0.63%
07 22.2663
↗0.123, 0.55%
08 22.2927
↘0.026, 0.12%
09 22.2394
↗0.053, 0.24%
10 22.2243
↗0.015, 0.07%
11 22.1431
↗0.081, 0.37%
12 22.2184
↘0.075, 0.34%
13 22.1534
↗0.065, 0.29%
14 22.1247
↗0.029, 0.13%
15 22.1266
↘0.002, 0.01%
16 22.1042
↗0.022, 0.10%
17 22.2088
↘0.105, 0.47%
18 22.1166
↗0.092, 0.41%
19 22.0699
↗0.047, 0.21%
20 22.0646
↗0.005, 0.02%
21 22.2781
↘0.213, 0.97%
22 22.3008
↘0.023, 0.10%
23 22.3574
↘0.057, 0.25%
24 22.2106
↗0.147, 0.66%
25 22.1407
↗0.070, 0.31%
26 22.0680
↗0.073, 0.33%
27 22.1426
↘0.075, 0.34%
28 22.1719
↘0.029, 0.13%
29 22.1718
↗0.000, 0.00%
30 22.1688
↗0.003, 0.01%
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October, 2014
01 21.7656
02 21.7211
↗0.044, 0.20%
03 21.9116
↘0.190, 0.88%
04 21.9271
↘0.016, 0.07%
05 21.9624
↘0.035, 0.16%
06 21.7587
↗0.204, 0.93%
07 21.7200
↗0.039, 0.18%
08 21.6152
↗0.105, 0.48%
09 21.6556
↘0.040, 0.19%
10 21.7470
↘0.091, 0.42%
11 21.7670
↘0.020, 0.09%
12 21.7633
↗0.004, 0.02%
13 21.6513
↗0.112, 0.51%
14 21.7746
↘0.123, 0.57%
15 21.5277
↗0.247, 1.13%
16 21.5221
↗0.006, 0.03%
17 21.5456
↘0.024, 0.11%
18 21.5413
↗0.004, 0.02%
19 21.5684
↘0.027, 0.13%
20 21.5484
↗0.020, 0.09%
21 21.6811
↘0.133, 0.62%
22 21.8463
↘0.165, 0.76%
23 21.8659
↘0.020, 0.09%
24 21.8496
↗0.016, 0.07%
25 21.8437
↗0.006, 0.03%
26 21.8339
↗0.010, 0.04%
27 21.8221
↗0.012, 0.05%
28 21.8158
↗0.006, 0.03%
29 21.9343
↘0.119, 0.54%
30 21.9689
↘0.035, 0.16%
31 22.1508
↘0.182, 0.83%
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September, 2014
01 21.1335
02 21.1178
↗0.016, 0.07%
03 21.0617
↗0.056, 0.27%
04 21.3012
↘0.240, 1.14%
05 21.2773
↗0.024, 0.11%
06 21.3132
↘0.036, 0.17%
07 21.3010
↗0.012, 0.06%
08 21.3825
↘0.081, 0.38%
09 21.4093
↘0.027, 0.13%
10 21.3921
↗0.017, 0.08%
11 21.3727
↗0.019, 0.09%
12 21.2990
↗0.074, 0.35%
13 21.2929
↗0.006, 0.03%
14 21.2743
↗0.019, 0.09%
15 21.2949
↘0.021, 0.10%
16 21.2587
↗0.036, 0.17%
17 21.3980
↘0.139, 0.66%
18 21.3022
↗0.096, 0.45%
19 21.4465
↘0.144, 0.68%
20 21.4498
↘0.003, 0.02%
21 21.4694
↘0.020, 0.09%
22 21.4217
↗0.048, 0.22%
23 21.4326
↘0.011, 0.05%
24 21.5054
↘0.073, 0.34%
25 21.5450
↘0.040, 0.18%
26 21.6803
↘0.135, 0.63%
27 21.6841
↘0.004, 0.02%
28 21.7147
↘0.031, 0.14%
29 21.7001
↗0.015, 0.07%
30 21.7588
↘0.059, 0.27%
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data.addColumn(“number”, “Conversion Rate”);
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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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August, 2014
01 20.6070
02 20.6144
↘0.007, 0.04%
03 20.6092
↗0.005, 0.03%
04 20.6020
↗0.007, 0.03%
05 20.7571
↘0.155, 0.75%
06 20.7509
↗0.006, 0.03%
07 20.8023
↘0.051, 0.25%
08 20.7814
↗0.021, 0.10%
09 20.7805
↗0.001, 0.00%
10 20.7866
↘0.006, 0.03%
11 20.8032
↘0.017, 0.08%
12 20.8319
↘0.029, 0.14%
13 20.8512
↘0.019, 0.09%
14 20.8173
↗0.034, 0.16%
15 20.8266
↘0.009, 0.05%
16 20.8236
↗0.003, 0.01%
17 20.8537
↘0.030, 0.14%
18 20.8751
↘0.021, 0.10%
19 20.9544
↘0.079, 0.38%
20 21.0154
↘0.061, 0.29%
21 20.9473
↗0.068, 0.32%
22 21.0432
↘0.096, 0.46%
23 21.0382
↗0.005, 0.02%
24 21.0988
↘0.061, 0.29%
25 21.1019
↘0.003, 0.01%
26 21.0706
↗0.031, 0.15%
27 21.0032
↗0.067, 0.32%
28 21.0939
↘0.091, 0.43%
29 21.1007
↘0.007, 0.03%
30 21.1134
↘0.013, 0.06%
31 21.1119
↗0.002, 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(“2014-08-01”),20.607,20.61],[new Date(“2014-08-02”),20.614,20.61],[new Date(“2014-08-03”),20.609,20.61],[new Date(“2014-08-04”),20.602,20.60],[new Date(“2014-08-05”),20.757,20.76],[new Date(“2014-08-06”),20.751,20.75],[new Date(“2014-08-07”),20.802,20.80],[new Date(“2014-08-08”),20.781,20.78],[new Date(“2014-08-09”),20.781,20.78],[new Date(“2014-08-10”),20.787,20.79],[new Date(“2014-08-11”),20.803,20.80],[new Date(“2014-08-12”),20.832,20.83],[new Date(“2014-08-13”),20.851,20.85],[new Date(“2014-08-14”),20.817,20.82],[new Date(“2014-08-15”),20.827,20.83],[new Date(“2014-08-16”),20.824,20.82],[new Date(“2014-08-17”),20.854,20.85],[new Date(“2014-08-18”),20.875,20.88],[new Date(“2014-08-19”),20.954,20.95],[new Date(“2014-08-20”),21.015,21.02],[new Date(“2014-08-21”),20.947,20.95],[new Date(“2014-08-22”),21.043,21.04],[new Date(“2014-08-23”),21.038,21.04],[new Date(“2014-08-24”),21.099,21.10],[new Date(“2014-08-25”),21.102,21.10],[new Date(“2014-08-26”),21.071,21.07],[new Date(“2014-08-27”),21.003,21.00],[new Date(“2014-08-28”),21.094,21.09],[new Date(“2014-08-29”),21.101,21.10],[new Date(“2014-08-30”),21.113,21.11],[new Date(“2014-08-31″),21.112,21.11],]);var options = {
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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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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
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July, 2014
01 20.0680
02 20.0818
↘0.014, 0.07%
03 20.1403
↘0.058, 0.29%
04 20.1730
↘0.033, 0.16%
05 20.1852
↘0.012, 0.06%
06 20.1877
↘0.003, 0.01%
07 20.1700
↗0.018, 0.09%
08 20.1683
↗0.002, 0.01%
09 20.1249
↗0.043, 0.21%
10 20.1619
↘0.037, 0.18%
11 20.1562
↗0.006, 0.03%
12 20.1651
↘0.009, 0.04%
13 20.1646
↗0.001, 0.00%
14 20.1455
↗0.019, 0.09%
15 20.2050
↘0.059, 0.30%
16 20.2656
↘0.061, 0.30%
17 20.2836
↘0.018, 0.09%
18 20.2870
↘0.003, 0.02%
19 20.2139
↗0.073, 0.36%
20 20.2111
↗0.003, 0.01%
21 20.3114
↘0.100, 0.50%
22 20.3844
↘0.073, 0.36%
23 20.3914
↘0.007, 0.03%
24 20.4079
↘0.017, 0.08%
25 20.4470
↘0.039, 0.19%
26 20.4529
↘0.006, 0.03%
27 20.4535
↘0.001, 0.00%
28 20.4478
↗0.006, 0.03%
29 20.4963
↘0.048, 0.24%
30 20.5484
↘0.052, 0.25%
31 20.6443
↘0.096, 0.47%
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(“2014-07-01”),20.068,20.07],[new Date(“2014-07-02”),20.082,20.08],[new Date(“2014-07-03”),20.140,20.14],[new Date(“2014-07-04”),20.173,20.17],[new Date(“2014-07-05”),20.185,20.19],[new Date(“2014-07-06”),20.188,20.19],[new Date(“2014-07-07”),20.170,20.17],[new Date(“2014-07-08”),20.168,20.17],[new Date(“2014-07-09”),20.125,20.12],[new Date(“2014-07-10”),20.162,20.16],[new Date(“2014-07-11”),20.156,20.16],[new Date(“2014-07-12”),20.165,20.17],[new Date(“2014-07-13”),20.165,20.16],[new Date(“2014-07-14”),20.146,20.15],[new Date(“2014-07-15”),20.205,20.20],[new Date(“2014-07-16”),20.266,20.27],[new Date(“2014-07-17”),20.284,20.28],[new Date(“2014-07-18”),20.287,20.29],[new Date(“2014-07-19”),20.214,20.21],[new Date(“2014-07-20”),20.211,20.21],[new Date(“2014-07-21”),20.311,20.31],[new Date(“2014-07-22”),20.384,20.38],[new Date(“2014-07-23”),20.391,20.39],[new Date(“2014-07-24”),20.408,20.41],[new Date(“2014-07-25”),20.447,20.45],[new Date(“2014-07-26”),20.453,20.45],[new Date(“2014-07-27”),20.453,20.45],[new Date(“2014-07-28”),20.448,20.45],[new Date(“2014-07-29”),20.496,20.50],[new Date(“2014-07-30”),20.548,20.55],[new Date(“2014-07-31″),20.644,20.64],]);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”);
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chart.draw(data, options);
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June, 2014
01 20.1671
02 20.2087
↘0.042, 0.21%
03 20.1626
↗0.046, 0.23%
04 20.1886
↘0.026, 0.13%
05 20.1378
↗0.051, 0.25%
06 20.1373
↗0.001, 0.00%
07 20.1276
↗0.010, 0.05%
08 20.1234
↗0.004, 0.02%
09 20.1774
↘0.054, 0.27%
10 20.2397
↘0.062, 0.31%
11 20.2657
↘0.026, 0.13%
12 20.2414
↗0.024, 0.12%
13 20.2700
↘0.029, 0.14%
14 20.2629
↗0.007, 0.03%
15 20.2734
↘0.010, 0.05%
16 20.2222
↗0.051, 0.25%
17 20.2590
↘0.037, 0.18%
18 20.2257
↗0.033, 0.16%
19 20.1801
↗0.046, 0.23%
20 20.1764
↗0.004, 0.02%
21 20.1762
↗0.000, 0.00%
22 20.1854
↘0.009, 0.05%
23 20.1832
↗0.002, 0.01%
24 20.1704
↗0.013, 0.06%
25 20.1336
↗0.037, 0.18%
26 20.1675
↘0.034, 0.17%
27 20.1230
↗0.044, 0.22%
28 20.1239
↘0.001, 0.00%
29 20.1199
↗0.004, 0.02%
30 20.0623
↗0.058, 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”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2014-06-01”),20.167,20.17],[new Date(“2014-06-02”),20.209,20.21],[new Date(“2014-06-03”),20.163,20.16],[new Date(“2014-06-04”),20.189,20.19],[new Date(“2014-06-05”),20.138,20.14],[new Date(“2014-06-06”),20.137,20.14],[new Date(“2014-06-07”),20.128,20.13],[new Date(“2014-06-08”),20.123,20.12],[new Date(“2014-06-09”),20.177,20.18],[new Date(“2014-06-10”),20.240,20.24],[new Date(“2014-06-11”),20.266,20.27],[new Date(“2014-06-12”),20.241,20.24],[new Date(“2014-06-13”),20.270,20.27],[new Date(“2014-06-14”),20.263,20.26],[new Date(“2014-06-15”),20.273,20.27],[new Date(“2014-06-16”),20.222,20.22],[new Date(“2014-06-17”),20.259,20.26],[new Date(“2014-06-18”),20.226,20.23],[new Date(“2014-06-19”),20.180,20.18],[new Date(“2014-06-20”),20.176,20.18],[new Date(“2014-06-21”),20.176,20.18],[new Date(“2014-06-22”),20.185,20.19],[new Date(“2014-06-23”),20.183,20.18],[new Date(“2014-06-24”),20.170,20.17],[new Date(“2014-06-25”),20.134,20.13],[new Date(“2014-06-26”),20.168,20.17],[new Date(“2014-06-27”),20.123,20.12],[new Date(“2014-06-28”),20.124,20.12],[new Date(“2014-06-29”),20.120,20.12],[new Date(“2014-06-30″),20.062,20.06],]);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”);
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May, 2014
01 19.8116
02 19.7873
↗0.024, 0.12%
03 19.7905
↘0.003, 0.02%
04 19.7878
↗0.003, 0.01%
05 19.7737
↗0.014, 0.07%
06 19.7125
↗0.061, 0.31%
07 19.7190
↘0.007, 0.03%
08 19.7714
↘0.052, 0.27%
09 19.8542
↘0.083, 0.42%
10 19.8784
↘0.024, 0.12%
11 19.9028
↘0.024, 0.12%
12 19.9189
↘0.016, 0.08%
13 19.9884
↘0.070, 0.35%
14 20.0133
↘0.025, 0.12%
15 20.0238
↘0.011, 0.05%
16 20.0406
↘0.017, 0.08%
17 20.0379
↗0.003, 0.01%
18 20.0387
↘0.001, 0.00%
19 20.0416
↘0.003, 0.01%
20 20.0525
↘0.011, 0.05%
21 20.0671
↘0.015, 0.07%
22 20.0998
↘0.033, 0.16%
23 20.1155
↘0.016, 0.08%
24 20.1212
↘0.006, 0.03%
25 20.1162
↗0.005, 0.02%
26 20.0992
↗0.017, 0.08%
27 20.1139
↘0.015, 0.07%
28 20.2006
↘0.087, 0.43%
29 20.1823
↗0.018, 0.09%
30 20.1675
↗0.015, 0.07%
31 20.1622
↗0.005, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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chart.draw(data, options);
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April, 2014
01 19.9149
02 19.9414
↘0.027, 0.13%
03 19.9885
↘0.047, 0.24%
04 20.0093
↘0.021, 0.10%
05 20.0205
↘0.011, 0.06%
06 20.0253
↘0.005, 0.02%
07 19.9626
↗0.063, 0.31%
08 19.8944
↗0.068, 0.34%
09 19.8113
↗0.083, 0.42%
10 19.7798
↗0.031, 0.16%
11 19.7760
↗0.004, 0.02%
12 19.7714
↗0.005, 0.02%
13 19.8180
↘0.047, 0.24%
14 19.8667
↘0.049, 0.25%
15 19.8708
↘0.004, 0.02%
16 19.8823
↘0.011, 0.06%
17 19.8773
↗0.005, 0.03%
18 19.8657
↗0.012, 0.06%
19 19.8721
↘0.006, 0.03%
20 19.8738
↘0.002, 0.01%
21 19.9053
↘0.032, 0.16%
22 19.8887
↗0.017, 0.08%
23 19.8740
↗0.015, 0.07%
24 19.8362
↗0.038, 0.19%
25 19.8327
↗0.003, 0.02%
26 19.8278
↗0.005, 0.02%
27 19.8220
↗0.006, 0.03%
28 19.8070
↗0.015, 0.08%
29 19.8577
↘0.051, 0.26%
30 19.8012
↗0.056, 0.28%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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March, 2014
01 19.8128
02 19.8312
↘0.018, 0.09%
03 19.8922
↘0.061, 0.31%
04 19.9000
↘0.008, 0.04%
05 19.9113
↘0.011, 0.06%
06 19.7676
↗0.144, 0.72%
07 19.7373
↗0.030, 0.15%
08 19.7108
↗0.027, 0.13%
09 19.7081
↗0.003, 0.01%
10 19.7159
↘0.008, 0.04%
11 19.7354
↘0.019, 0.10%
12 19.6853
↗0.050, 0.25%
13 19.7157
↘0.030, 0.15%
14 19.6635
↗0.052, 0.26%
15 19.6729
↘0.009, 0.05%
16 19.6698
↗0.003, 0.02%
17 19.6646
↗0.005, 0.03%
18 19.6787
↘0.014, 0.07%
19 19.8483
↘0.170, 0.86%
20 19.8854
↘0.037, 0.19%
21 19.8956
↘0.010, 0.05%
22 19.8902
↗0.005, 0.03%
23 19.8954
↘0.005, 0.03%
24 19.8390
↗0.056, 0.28%
25 19.8214
↗0.018, 0.09%
26 19.8884
↘0.067, 0.34%
27 19.9237
↘0.035, 0.18%
28 19.9389
↘0.015, 0.08%
29 19.9429
↘0.004, 0.02%
30 19.9466
↘0.004, 0.02%
31 19.9329
↗0.014, 0.07%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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February, 2014
01 20.4025
02 20.4233
↘0.021, 0.10%
03 20.3782
↗0.045, 0.22%
04 20.3926
↘0.014, 0.07%
05 20.3562
↗0.036, 0.18%
06 20.2750
↗0.081, 0.40%
07 20.2199
↗0.055, 0.27%
08 20.2055
↗0.014, 0.07%
09 20.2048
↗0.001, 0.00%
10 20.1862
↗0.019, 0.09%
11 20.1702
↗0.016, 0.08%
12 20.2344
↘0.064, 0.32%
13 20.1335
↗0.101, 0.50%
14 20.0425
↗0.091, 0.45%
15 20.0165
↗0.026, 0.13%
16 19.9989
↗0.018, 0.09%
17 19.9895
↗0.009, 0.05%
18 19.8876
↗0.102, 0.51%
19 19.9429
↘0.055, 0.28%
20 19.9477
↘0.005, 0.02%
21 19.9317
↗0.016, 0.08%
22 19.9298
↗0.002, 0.01%
23 19.9226
↗0.007, 0.04%
24 19.9149
↗0.008, 0.04%
25 19.8838
↗0.031, 0.16%
26 19.9552
↘0.071, 0.36%
27 19.9393
↗0.016, 0.08%
28 19.8339
↗0.105, 0.53%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
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January, 2014
01 19.8799
02 20.0260
↘0.146, 0.73%
03 20.2278
↘0.202, 1.01%
04 20.2624
↘0.035, 0.17%
05 20.2779
↘0.016, 0.08%
06 20.1849
↗0.093, 0.46%
07 20.1941
↘0.009, 0.05%
08 20.2264
↘0.032, 0.16%
09 20.1627
↗0.064, 0.31%
10 20.0701
↗0.093, 0.46%
11 20.0540
↗0.016, 0.08%
12 20.0398
↗0.014, 0.07%
13 20.0222
↗0.018, 0.09%
14 20.0524
↘0.030, 0.15%
15 20.1464
↘0.094, 0.47%
16 20.1831
↘0.037, 0.18%
17 20.2598
↘0.077, 0.38%
18 20.2700
↘0.010, 0.05%
19 20.2932
↘0.023, 0.11%
20 20.3106
↘0.017, 0.09%
21 20.3319
↘0.021, 0.10%
22 20.3062
↗0.026, 0.13%
23 20.1134
↗0.193, 0.95%
24 20.1020
↗0.011, 0.06%
25 20.0809
↗0.021, 0.11%
26 20.0916
↘0.011, 0.05%
27 20.1120
↘0.020, 0.10%
28 20.1273
↘0.015, 0.08%
29 20.1481
↘0.021, 0.10%
30 20.3209
↘0.173, 0.86%
31 20.3807
↘0.060, 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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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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data.addColumn(“number”, “Conversion Rate”);
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
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