Czech Republic Koruna CZK 2016 Conversion Rates
- Opening Value is 24.843950 CZK per Dollar
- Closing Value is 25.646040 CZK per Dollar
- Change in Value during 2016 is 0.8021 which is 3.23%
- Best Performance is on 2016-05-02 with 23.484280 CZK per Dollar
- Lowest Performance is on 2016-12-20 with 25.988001 CZK per Dollar
- Average Value is 24.4355 CZK per Dollar
- Swing Between the higest and the lowest is 2.5037 per Dollar, that is 10.08% compared to the opening value.
USD to CZK Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2016-12-31 | 25.6460 CZK |
| 2016-11-30 | 25.5379 CZK |
| 2016-10-31 | 24.6309 CZK |
| 2016-09-30 | 24.0270 CZK |
| 2016-08-31 | 24.2189 CZK |
| 2016-07-31 | 24.2019 CZK |
| 2016-06-30 | 24.4034 CZK |
| 2016-05-31 | 24.2785 CZK |
| 2016-04-30 | 23.6380 CZK |
| 2016-03-31 | 23.7951 CZK |
| 2016-02-29 | 24.8470 CZK |
| 2016-01-31 | 24.9471 CZK |
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var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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December, 2016
01 25.3779
02 25.3230
↗0.055, 0.22%
03 25.3230
→0.000, 0.00%
04 25.5379
↘0.215, 0.85%
05 25.1459
↗0.392, 1.53%
06 25.2229
↘0.077, 0.31%
07 25.1215
↗0.101, 0.40%
08 25.4749
↘0.353, 1.41%
09 25.5780
↘0.103, 0.40%
10 25.5780
→0.000, 0.00%
11 25.5970
↘0.019, 0.07%
12 25.4039
↗0.193, 0.75%
13 25.4259
↘0.022, 0.09%
14 25.7009
↘0.275, 1.08%
15 25.9320
↘0.231, 0.90%
16 25.8690
↗0.063, 0.24%
17 25.8690
→0.000, 0.00%
18 25.8629
↗0.006, 0.02%
19 25.9689
↘0.106, 0.41%
20 25.9880
↘0.019, 0.07%
21 25.8950
↗0.093, 0.36%
22 25.8869
↗0.008, 0.03%
23 25.9360
↘0.049, 0.19%
24 25.8410
↗0.095, 0.37%
25 25.8459
↘0.005, 0.02%
26 25.8509
↘0.005, 0.02%
27 25.8289
↗0.022, 0.09%
28 25.9359
↘0.107, 0.41%
29 25.5459
↗0.390, 1.50%
30 25.6460
↘0.100, 0.39%
31 25.6460
→0.000, 0.00%
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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November, 2016
01 24.4399
02 24.3559
↗0.084, 0.34%
03 24.3439
↗0.012, 0.05%
04 24.2410
↗0.103, 0.42%
05 24.2410
→0.000, 0.00%
06 24.3469
↘0.106, 0.44%
07 24.4569
↘0.110, 0.45%
08 24.5249
↘0.068, 0.28%
09 24.7458
↘0.221, 0.90%
10 24.8139
↘0.068, 0.28%
11 24.8770
↘0.063, 0.25%
12 24.8770
→0.000, 0.00%
13 24.9639
↘0.087, 0.35%
14 25.1549
↘0.191, 0.77%
15 25.2181
↘0.063, 0.25%
16 25.2449
↘0.027, 0.11%
17 25.4439
↘0.199, 0.79%
18 25.5180
↘0.074, 0.29%
19 25.5180
→0.000, 0.00%
20 25.5373
↘0.019, 0.08%
21 25.4039
↗0.133, 0.52%
22 25.4159
↘0.012, 0.05%
23 25.6399
↘0.224, 0.88%
24 25.5959
↗0.044, 0.17%
25 25.5040
↗0.092, 0.36%
26 25.5204
↘0.016, 0.06%
27 25.4739
↗0.046, 0.18%
28 25.4660
↗0.008, 0.03%
29 25.4119
↗0.054, 0.21%
30 25.5379
↘0.126, 0.50%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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data.addColumn(“number”, “Conversion Rate”);
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October, 2016
01 24.0270
02 24.0579
↘0.031, 0.13%
03 24.1019
↘0.044, 0.18%
04 24.1005
↗0.001, 0.01%
05 24.1049
↘0.004, 0.02%
06 24.2513
↘0.146, 0.61%
07 24.1650
↗0.086, 0.36%
08 24.1650
→0.000, 0.00%
09 24.1408
↗0.024, 0.10%
10 24.2599
↘0.119, 0.49%
11 24.4269
↘0.167, 0.69%
12 24.5330
↘0.106, 0.43%
13 24.4599
↗0.073, 0.30%
14 24.5790
↘0.119, 0.49%
15 24.5790
→0.000, 0.00%
16 24.6349
↘0.056, 0.23%
17 24.5449
↗0.090, 0.37%
18 24.6129
↘0.068, 0.28%
19 24.6189
↘0.006, 0.02%
20 24.7219
↘0.103, 0.42%
21 24.8440
↘0.122, 0.49%
22 24.8440
→0.000, 0.00%
23 24.8329
↗0.011, 0.04%
24 24.8559
↘0.023, 0.09%
25 24.8159
↗0.040, 0.16%
26 24.7679
↗0.048, 0.19%
27 24.7939
↘0.026, 0.10%
28 24.7010
↗0.093, 0.37%
29 24.7010
→0.000, 0.00%
30 24.6079
↗0.093, 0.38%
31 24.6309
↘0.023, 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”);
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chart.draw(data, options);
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September, 2016
01 24.1259
02 24.1920
↘0.066, 0.27%
03 24.1920
→0.000, 0.00%
04 24.2129
↘0.021, 0.09%
05 24.2309
↘0.018, 0.07%
06 24.0080
↗0.223, 0.92%
07 24.0360
↘0.028, 0.12%
08 23.9759
↗0.060, 0.25%
09 24.0650
↘0.089, 0.37%
10 24.0650
→0.000, 0.00%
11 24.0369
↗0.028, 0.12%
12 24.0339
↗0.003, 0.01%
13 24.0849
↘0.051, 0.21%
14 24.0269
↗0.058, 0.24%
15 24.0271
↘0.000, 0.00%
16 24.2060
↘0.179, 0.74%
17 24.2060
→0.000, 0.00%
18 24.2139
↘0.008, 0.03%
19 24.1689
↗0.045, 0.19%
20 24.2259
↘0.057, 0.24%
21 24.1449
↗0.081, 0.33%
22 24.1059
↗0.039, 0.16%
23 24.0430
↗0.063, 0.26%
24 24.0430
→0.000, 0.00%
25 24.0388
↗0.004, 0.02%
26 24.0164
↗0.022, 0.09%
27 24.0859
↘0.070, 0.29%
28 24.0709
↗0.015, 0.06%
29 24.0859
↘0.015, 0.06%
30 24.0270
↗0.059, 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(“2016-09-01”),24.126,24.13],[new Date(“2016-09-02”),24.192,24.19],[new Date(“2016-09-03”),24.192,24.19],[new Date(“2016-09-04”),24.213,24.21],[new Date(“2016-09-05”),24.231,24.23],[new Date(“2016-09-06”),24.008,24.01],[new Date(“2016-09-07”),24.036,24.04],[new Date(“2016-09-08”),23.976,23.98],[new Date(“2016-09-09”),24.065,24.07],[new Date(“2016-09-10”),24.065,24.07],[new Date(“2016-09-11”),24.037,24.04],[new Date(“2016-09-12”),24.034,24.03],[new Date(“2016-09-13”),24.085,24.08],[new Date(“2016-09-14”),24.027,24.03],[new Date(“2016-09-15”),24.027,24.03],[new Date(“2016-09-16”),24.206,24.21],[new Date(“2016-09-17”),24.206,24.21],[new Date(“2016-09-18”),24.214,24.21],[new Date(“2016-09-19”),24.169,24.17],[new Date(“2016-09-20”),24.226,24.23],[new Date(“2016-09-21”),24.145,24.14],[new Date(“2016-09-22”),24.106,24.11],[new Date(“2016-09-23”),24.043,24.04],[new Date(“2016-09-24”),24.043,24.04],[new Date(“2016-09-25”),24.039,24.04],[new Date(“2016-09-26”),24.016,24.02],[new Date(“2016-09-27”),24.086,24.09],[new Date(“2016-09-28”),24.071,24.07],[new Date(“2016-09-29”),24.086,24.09],[new Date(“2016-09-30″),24.027,24.03],]);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(“2016-09-01”),24.126,24.13],[new Date(“2016-09-02”),24.192,24.19],[new Date(“2016-09-03”),24.192,24.19],[new Date(“2016-09-04”),24.213,24.21],[new Date(“2016-09-05”),24.231,24.23],[new Date(“2016-09-06”),24.008,24.01],[new Date(“2016-09-07”),24.036,24.04],[new Date(“2016-09-08”),23.976,23.98],[new Date(“2016-09-09”),24.065,24.07],[new Date(“2016-09-10”),24.065,24.07],[new Date(“2016-09-11”),24.037,24.04],[new Date(“2016-09-12”),24.034,24.03],[new Date(“2016-09-13”),24.085,24.08],[new Date(“2016-09-14”),24.027,24.03],[new Date(“2016-09-15”),24.027,24.03],[new Date(“2016-09-16”),24.206,24.21],[new Date(“2016-09-17”),24.206,24.21],[new Date(“2016-09-18”),24.214,24.21],[new Date(“2016-09-19”),24.169,24.17],[new Date(“2016-09-20”),24.226,24.23],[new Date(“2016-09-21”),24.145,24.14],[new Date(“2016-09-22”),24.106,24.11],[new Date(“2016-09-23”),24.043,24.04],[new Date(“2016-09-24”),24.043,24.04],[new Date(“2016-09-25”),24.039,24.04],[new Date(“2016-09-26”),24.016,24.02],[new Date(“2016-09-27”),24.086,24.09],[new Date(“2016-09-28”),24.071,24.07],[new Date(“2016-09-29”),24.086,24.09],[new Date(“2016-09-30″),24.027,24.03],]);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, 2016
01 24.1969
02 24.0880
↗0.109, 0.45%
03 24.2307
↘0.143, 0.59%
04 24.2691
↘0.038, 0.16%
05 24.3940
↘0.125, 0.51%
06 24.3940
→0.000, 0.00%
07 24.3689
↗0.025, 0.10%
08 24.3849
↘0.016, 0.07%
09 24.3023
↗0.083, 0.34%
10 24.1660
↗0.136, 0.56%
11 24.2559
↘0.090, 0.37%
12 24.1840
↗0.072, 0.30%
13 24.1840
→0.000, 0.00%
14 24.1957
↘0.012, 0.05%
15 24.1639
↗0.032, 0.13%
16 23.9629
↗0.201, 0.83%
17 23.9097
↗0.053, 0.22%
18 23.8099
↗0.100, 0.42%
19 23.8600
↘0.050, 0.21%
20 23.8600
→0.000, 0.00%
21 23.9219
↘0.062, 0.26%
22 23.8729
↗0.049, 0.20%
23 23.9099
↘0.037, 0.16%
24 23.9934
↘0.083, 0.35%
25 23.9360
↗0.057, 0.24%
26 24.1020
↘0.166, 0.69%
27 24.1020
→0.000, 0.00%
28 24.1254
↘0.023, 0.10%
29 24.1409
↘0.015, 0.06%
30 24.2329
↘0.092, 0.38%
31 24.2189
↗0.014, 0.06%
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(“2016-08-01”),24.197,24.20],[new Date(“2016-08-02”),24.088,24.09],[new Date(“2016-08-03”),24.231,24.23],[new Date(“2016-08-04”),24.269,24.27],[new Date(“2016-08-05”),24.394,24.39],[new Date(“2016-08-06”),24.394,24.39],[new Date(“2016-08-07”),24.369,24.37],[new Date(“2016-08-08”),24.385,24.38],[new Date(“2016-08-09”),24.302,24.30],[new Date(“2016-08-10”),24.166,24.17],[new Date(“2016-08-11”),24.256,24.26],[new Date(“2016-08-12”),24.184,24.18],[new Date(“2016-08-13”),24.184,24.18],[new Date(“2016-08-14”),24.196,24.20],[new Date(“2016-08-15”),24.164,24.16],[new Date(“2016-08-16”),23.963,23.96],[new Date(“2016-08-17”),23.910,23.91],[new Date(“2016-08-18”),23.810,23.81],[new Date(“2016-08-19”),23.860,23.86],[new Date(“2016-08-20”),23.860,23.86],[new Date(“2016-08-21”),23.922,23.92],[new Date(“2016-08-22”),23.873,23.87],[new Date(“2016-08-23”),23.910,23.91],[new Date(“2016-08-24”),23.993,23.99],[new Date(“2016-08-25”),23.936,23.94],[new Date(“2016-08-26”),24.102,24.10],[new Date(“2016-08-27”),24.102,24.10],[new Date(“2016-08-28”),24.125,24.13],[new Date(“2016-08-29”),24.141,24.14],[new Date(“2016-08-30”),24.233,24.23],[new Date(“2016-08-31″),24.219,24.22],]);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(“2016-08-01”),24.197,24.20],[new Date(“2016-08-02”),24.088,24.09],[new Date(“2016-08-03”),24.231,24.23],[new Date(“2016-08-04”),24.269,24.27],[new Date(“2016-08-05”),24.394,24.39],[new Date(“2016-08-06”),24.394,24.39],[new Date(“2016-08-07”),24.369,24.37],[new Date(“2016-08-08”),24.385,24.38],[new Date(“2016-08-09”),24.302,24.30],[new Date(“2016-08-10”),24.166,24.17],[new Date(“2016-08-11”),24.256,24.26],[new Date(“2016-08-12”),24.184,24.18],[new Date(“2016-08-13”),24.184,24.18],[new Date(“2016-08-14”),24.196,24.20],[new Date(“2016-08-15”),24.164,24.16],[new Date(“2016-08-16”),23.963,23.96],[new Date(“2016-08-17”),23.910,23.91],[new Date(“2016-08-18”),23.810,23.81],[new Date(“2016-08-19”),23.860,23.86],[new Date(“2016-08-20”),23.860,23.86],[new Date(“2016-08-21”),23.922,23.92],[new Date(“2016-08-22”),23.873,23.87],[new Date(“2016-08-23”),23.910,23.91],[new Date(“2016-08-24”),23.993,23.99],[new Date(“2016-08-25”),23.936,23.94],[new Date(“2016-08-26”),24.102,24.10],[new Date(“2016-08-27”),24.102,24.10],[new Date(“2016-08-28”),24.125,24.13],[new Date(“2016-08-29”),24.141,24.14],[new Date(“2016-08-30”),24.233,24.23],[new Date(“2016-08-31″),24.219,24.22],]);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_8’));
chart.draw(data, options);
}
July, 2016
01 24.3419
02 24.3351
↗0.007, 0.03%
03 24.3336
↗0.002, 0.01%
04 24.2919
↗0.042, 0.17%
05 24.4169
↘0.125, 0.51%
06 24.3774
↗0.039, 0.16%
07 24.4422
↘0.065, 0.27%
08 24.4445
↘0.002, 0.01%
09 24.4561
↘0.012, 0.05%
10 24.4591
↘0.003, 0.01%
11 24.4484
↗0.011, 0.04%
12 24.4415
↗0.007, 0.03%
13 24.3616
↗0.080, 0.33%
14 24.3455
↗0.016, 0.07%
15 24.4770
↘0.131, 0.54%
16 24.4770
→0.000, 0.00%
17 24.4409
↗0.036, 0.15%
18 24.4069
↗0.034, 0.14%
19 24.5316
↘0.125, 0.51%
20 24.5289
↗0.003, 0.01%
21 24.4902
↗0.039, 0.16%
22 24.6200
↘0.130, 0.53%
23 24.6200
→0.000, 0.00%
24 24.6304
↘0.010, 0.04%
25 24.5834
↗0.047, 0.19%
26 24.5835
↘0.000, 0.00%
27 24.4141
↗0.169, 0.69%
28 24.3939
↗0.020, 0.08%
29 24.1960
↗0.198, 0.81%
30 24.1960
→0.000, 0.00%
31 24.2019
↘0.006, 0.02%
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(“2016-07-01”),24.342,24.34],[new Date(“2016-07-02”),24.335,24.34],[new Date(“2016-07-03”),24.334,24.33],[new Date(“2016-07-04”),24.292,24.29],[new Date(“2016-07-05”),24.417,24.42],[new Date(“2016-07-06”),24.377,24.38],[new Date(“2016-07-07”),24.442,24.44],[new Date(“2016-07-08”),24.445,24.44],[new Date(“2016-07-09”),24.456,24.46],[new Date(“2016-07-10”),24.459,24.46],[new Date(“2016-07-11”),24.448,24.45],[new Date(“2016-07-12”),24.442,24.44],[new Date(“2016-07-13”),24.362,24.36],[new Date(“2016-07-14”),24.346,24.35],[new Date(“2016-07-15”),24.477,24.48],[new Date(“2016-07-16”),24.477,24.48],[new Date(“2016-07-17”),24.441,24.44],[new Date(“2016-07-18”),24.407,24.41],[new Date(“2016-07-19”),24.532,24.53],[new Date(“2016-07-20”),24.529,24.53],[new Date(“2016-07-21”),24.490,24.49],[new Date(“2016-07-22”),24.620,24.62],[new Date(“2016-07-23”),24.620,24.62],[new Date(“2016-07-24”),24.630,24.63],[new Date(“2016-07-25”),24.583,24.58],[new Date(“2016-07-26”),24.584,24.58],[new Date(“2016-07-27”),24.414,24.41],[new Date(“2016-07-28”),24.394,24.39],[new Date(“2016-07-29”),24.196,24.20],[new Date(“2016-07-30”),24.196,24.20],[new Date(“2016-07-31″),24.202,24.20],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-07-01”),24.342,24.34],[new Date(“2016-07-02”),24.335,24.34],[new Date(“2016-07-03”),24.334,24.33],[new Date(“2016-07-04”),24.292,24.29],[new Date(“2016-07-05”),24.417,24.42],[new Date(“2016-07-06”),24.377,24.38],[new Date(“2016-07-07”),24.442,24.44],[new Date(“2016-07-08”),24.445,24.44],[new Date(“2016-07-09”),24.456,24.46],[new Date(“2016-07-10”),24.459,24.46],[new Date(“2016-07-11”),24.448,24.45],[new Date(“2016-07-12”),24.442,24.44],[new Date(“2016-07-13”),24.362,24.36],[new Date(“2016-07-14”),24.346,24.35],[new Date(“2016-07-15”),24.477,24.48],[new Date(“2016-07-16”),24.477,24.48],[new Date(“2016-07-17”),24.441,24.44],[new Date(“2016-07-18”),24.407,24.41],[new Date(“2016-07-19”),24.532,24.53],[new Date(“2016-07-20”),24.529,24.53],[new Date(“2016-07-21”),24.490,24.49],[new Date(“2016-07-22”),24.620,24.62],[new Date(“2016-07-23”),24.620,24.62],[new Date(“2016-07-24”),24.630,24.63],[new Date(“2016-07-25”),24.583,24.58],[new Date(“2016-07-26”),24.584,24.58],[new Date(“2016-07-27”),24.414,24.41],[new Date(“2016-07-28”),24.394,24.39],[new Date(“2016-07-29”),24.196,24.20],[new Date(“2016-07-30”),24.196,24.20],[new Date(“2016-07-31″),24.202,24.20],]);var options = {
hAxis: {
title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
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June, 2016
01 24.1866
02 24.2308
↘0.044, 0.18%
03 23.8534
↗0.377, 1.56%
04 23.8400
↗0.013, 0.06%
05 23.7853
↗0.055, 0.23%
06 23.7900
↘0.005, 0.02%
07 23.7947
↘0.005, 0.02%
08 23.7200
↗0.075, 0.31%
09 23.8501
↘0.130, 0.55%
10 23.9687
↘0.119, 0.50%
11 23.9989
↘0.030, 0.13%
12 24.0216
↘0.023, 0.09%
13 23.9599
↗0.062, 0.26%
14 24.1087
↘0.149, 0.62%
15 24.0434
↗0.065, 0.27%
16 24.1044
↘0.061, 0.25%
17 24.0220
↗0.082, 0.34%
18 24.0108
↗0.011, 0.05%
19 23.9490
↗0.062, 0.26%
20 23.9260
↗0.023, 0.10%
21 24.0143
↘0.088, 0.37%
22 23.8957
↗0.119, 0.49%
23 23.8063
↗0.089, 0.37%
24 24.2874
↘0.481, 2.02%
25 24.3995
↘0.112, 0.46%
26 24.4607
↘0.061, 0.25%
27 24.6084
↘0.148, 0.60%
28 24.5230
↗0.085, 0.35%
29 24.4047
↗0.118, 0.48%
30 24.4034
↗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(“2016-06-01”),24.187,24.19],[new Date(“2016-06-02”),24.231,24.23],[new Date(“2016-06-03”),23.853,23.85],[new Date(“2016-06-04”),23.840,23.84],[new Date(“2016-06-05”),23.785,23.79],[new Date(“2016-06-06”),23.790,23.79],[new Date(“2016-06-07”),23.795,23.79],[new Date(“2016-06-08”),23.720,23.72],[new Date(“2016-06-09”),23.850,23.85],[new Date(“2016-06-10”),23.969,23.97],[new Date(“2016-06-11”),23.999,24.00],[new Date(“2016-06-12”),24.022,24.02],[new Date(“2016-06-13”),23.960,23.96],[new Date(“2016-06-14”),24.109,24.11],[new Date(“2016-06-15”),24.043,24.04],[new Date(“2016-06-16”),24.104,24.10],[new Date(“2016-06-17”),24.022,24.02],[new Date(“2016-06-18”),24.011,24.01],[new Date(“2016-06-19”),23.949,23.95],[new Date(“2016-06-20”),23.926,23.93],[new Date(“2016-06-21”),24.014,24.01],[new Date(“2016-06-22”),23.896,23.90],[new Date(“2016-06-23”),23.806,23.81],[new Date(“2016-06-24”),24.287,24.29],[new Date(“2016-06-25”),24.400,24.40],[new Date(“2016-06-26”),24.461,24.46],[new Date(“2016-06-27”),24.608,24.61],[new Date(“2016-06-28”),24.523,24.52],[new Date(“2016-06-29”),24.405,24.40],[new Date(“2016-06-30″),24.403,24.40],]);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(“2016-06-01”),24.187,24.19],[new Date(“2016-06-02”),24.231,24.23],[new Date(“2016-06-03”),23.853,23.85],[new Date(“2016-06-04”),23.840,23.84],[new Date(“2016-06-05”),23.785,23.79],[new Date(“2016-06-06”),23.790,23.79],[new Date(“2016-06-07”),23.795,23.79],[new Date(“2016-06-08”),23.720,23.72],[new Date(“2016-06-09”),23.850,23.85],[new Date(“2016-06-10”),23.969,23.97],[new Date(“2016-06-11”),23.999,24.00],[new Date(“2016-06-12”),24.022,24.02],[new Date(“2016-06-13”),23.960,23.96],[new Date(“2016-06-14”),24.109,24.11],[new Date(“2016-06-15”),24.043,24.04],[new Date(“2016-06-16”),24.104,24.10],[new Date(“2016-06-17”),24.022,24.02],[new Date(“2016-06-18”),24.011,24.01],[new Date(“2016-06-19”),23.949,23.95],[new Date(“2016-06-20”),23.926,23.93],[new Date(“2016-06-21”),24.014,24.01],[new Date(“2016-06-22”),23.896,23.90],[new Date(“2016-06-23”),23.806,23.81],[new Date(“2016-06-24”),24.287,24.29],[new Date(“2016-06-25”),24.400,24.40],[new Date(“2016-06-26”),24.461,24.46],[new Date(“2016-06-27”),24.608,24.61],[new Date(“2016-06-28”),24.523,24.52],[new Date(“2016-06-29”),24.405,24.40],[new Date(“2016-06-30″),24.403,24.40],]);var options = {
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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, 2016
01 23.6108
02 23.4843
↗0.127, 0.54%
03 23.5166
↘0.032, 0.14%
04 23.5079
↗0.009, 0.04%
05 23.6679
↘0.160, 0.68%
06 23.6788
↘0.011, 0.05%
07 23.6934
↘0.015, 0.06%
08 23.7017
↘0.008, 0.03%
09 23.7287
↘0.027, 0.11%
10 23.7485
↘0.020, 0.08%
11 23.6705
↗0.078, 0.33%
12 23.7431
↘0.073, 0.31%
13 23.8548
↘0.112, 0.47%
14 23.8814
↘0.027, 0.11%
15 23.8948
↘0.013, 0.06%
16 23.8859
↗0.009, 0.04%
17 23.8915
↘0.006, 0.02%
18 24.0090
↘0.118, 0.49%
19 24.0309
↘0.022, 0.09%
20 24.0899
↘0.059, 0.25%
21 24.0910
↘0.001, 0.00%
22 24.0917
↘0.001, 0.00%
23 24.0928
↘0.001, 0.00%
24 24.2301
↘0.137, 0.57%
25 24.2108
↗0.019, 0.08%
26 24.1648
↗0.046, 0.19%
27 24.2909
↘0.126, 0.52%
28 24.2964
↘0.005, 0.02%
29 24.3193
↘0.023, 0.09%
30 24.2751
↗0.044, 0.18%
31 24.2785
↘0.003, 0.01%
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var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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chart.draw(data, options);
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April, 2016
01 23.7462
02 23.7305
↗0.016, 0.07%
03 23.7291
↗0.001, 0.01%
04 23.7347
↘0.006, 0.02%
05 23.7490
↘0.014, 0.06%
06 23.7255
↗0.024, 0.10%
07 23.7598
↘0.034, 0.14%
08 23.7138
↗0.046, 0.19%
09 23.7177
↘0.004, 0.02%
10 23.6992
↗0.019, 0.08%
11 23.6867
↗0.012, 0.05%
12 23.7272
↘0.040, 0.17%
13 23.9114
↘0.184, 0.78%
14 23.9636
↘0.052, 0.22%
15 23.9583
↗0.005, 0.02%
16 23.9546
↗0.004, 0.02%
17 23.9366
↗0.018, 0.07%
18 23.8964
↗0.040, 0.17%
19 23.8163
↗0.080, 0.34%
20 23.8966
↘0.080, 0.34%
21 23.9146
↘0.018, 0.08%
22 24.0573
↘0.143, 0.60%
23 24.0726
↘0.015, 0.06%
24 24.0749
↘0.002, 0.01%
25 24.0032
↗0.072, 0.30%
26 23.9522
↗0.051, 0.21%
27 23.8887
↗0.064, 0.27%
28 23.8392
↗0.049, 0.21%
29 23.6647
↗0.175, 0.73%
30 23.6380
↗0.027, 0.11%
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 data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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March, 2016
01 24.8651
02 24.8930
↘0.028, 0.11%
03 24.7398
↗0.153, 0.62%
04 24.6248
↗0.115, 0.46%
05 24.5903
↗0.035, 0.14%
06 24.5892
↗0.001, 0.00%
07 24.5721
↗0.017, 0.07%
08 24.5793
↘0.007, 0.03%
09 24.5889
↘0.010, 0.04%
10 24.2910
↗0.298, 1.21%
11 24.3151
↘0.024, 0.10%
12 24.2634
↗0.052, 0.21%
13 24.2427
↗0.021, 0.09%
14 24.3411
↘0.098, 0.41%
15 24.3317
↗0.009, 0.04%
16 24.1762
↗0.156, 0.64%
17 23.9862
↗0.190, 0.79%
18 23.9893
↘0.003, 0.01%
19 23.9764
↗0.013, 0.05%
20 23.9786
↘0.002, 0.01%
21 24.0253
↘0.047, 0.19%
22 24.0757
↘0.050, 0.21%
23 24.1604
↘0.085, 0.35%
24 24.1996
↘0.039, 0.16%
25 24.2329
↘0.033, 0.14%
26 24.2340
↘0.001, 0.00%
27 24.2307
↗0.003, 0.01%
28 24.1887
↗0.042, 0.17%
29 24.0152
↗0.174, 0.72%
30 23.9282
↗0.087, 0.36%
31 23.7951
↗0.133, 0.56%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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data.addColumn(“number”, “Conversion Rate”);
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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”);
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February, 2016
01 24.8403
02 24.7679
↗0.072, 0.29%
03 24.4584
↗0.310, 1.25%
04 24.2249
↗0.233, 0.95%
05 24.2666
↘0.042, 0.17%
06 24.2550
↗0.012, 0.05%
07 24.2875
↘0.032, 0.13%
08 24.1896
↗0.098, 0.40%
09 24.0074
↗0.182, 0.75%
10 23.9866
↗0.021, 0.09%
11 23.9053
↗0.081, 0.34%
12 24.0036
↘0.098, 0.41%
13 24.0176
↘0.014, 0.06%
14 24.0409
↘0.023, 0.10%
15 24.1820
↘0.141, 0.59%
16 24.2333
↘0.051, 0.21%
17 24.2763
↘0.043, 0.18%
18 24.3124
↘0.036, 0.15%
19 24.2835
↗0.029, 0.12%
20 24.2851
↘0.002, 0.01%
21 24.2905
↘0.005, 0.02%
22 24.4835
↘0.193, 0.79%
23 24.5053
↘0.022, 0.09%
24 24.5523
↘0.047, 0.19%
25 24.5455
↗0.007, 0.03%
26 24.6890
↘0.144, 0.58%
27 24.6983
↘0.009, 0.04%
28 24.7323
↘0.034, 0.14%
29 24.8470
↘0.115, 0.46%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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January, 2016
01 24.8440
02 24.8825
↘0.039, 0.16%
03 24.8775
↗0.005, 0.02%
04 24.9368
↘0.059, 0.24%
05 25.0754
↘0.139, 0.56%
06 25.0727
↗0.003, 0.01%
07 24.8289
↗0.244, 0.97%
08 24.7867
↗0.042, 0.17%
09 24.7641
↗0.023, 0.09%
10 24.7303
↗0.034, 0.14%
11 24.8569
↘0.127, 0.51%
12 24.8804
↘0.024, 0.09%
13 24.8491
↗0.031, 0.13%
14 24.8796
↘0.031, 0.12%
15 24.7707
↗0.109, 0.44%
16 24.7605
↗0.010, 0.04%
17 24.7582
↗0.002, 0.01%
18 24.7997
↘0.042, 0.17%
19 24.7802
↗0.020, 0.08%
20 24.8302
↘0.050, 0.20%
21 24.8537
↘0.023, 0.09%
22 24.9816
↘0.128, 0.51%
23 25.0068
↘0.025, 0.10%
24 25.0244
↘0.018, 0.07%
25 24.9262
↗0.098, 0.39%
26 24.8947
↗0.031, 0.13%
27 24.8106
↗0.084, 0.34%
28 24.7299
↗0.081, 0.33%
29 24.9097
↘0.180, 0.73%
30 24.9200
↘0.010, 0.04%
31 24.9471
↘0.027, 0.11%
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