Czech Republic Koruna CZK 2011 Conversion Rates
- Opening Value is 18.742763 CZK per Dollar
- Closing Value is 19.835836 CZK per Dollar
- Change in Value during 2011 is 1.0931 which is 5.83%
- Best Performance is on 2011-05-04 with 16.275325 CZK per Dollar
- Lowest Performance is on 2011-12-29 with 20.048185 CZK per Dollar
- Average Value is 17.6875 CZK per Dollar
- Swing Between the higest and the lowest is 3.7729 per Dollar, that is 20.13% compared to the opening value.
USD to CZK Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2011-12-31 | 19.8358 CZK |
| 2011-11-30 | 18.8679 CZK |
| 2011-10-31 | 17.7740 CZK |
| 2011-09-30 | 18.3587 CZK |
| 2011-08-31 | 16.7051 CZK |
| 2011-07-31 | 16.8765 CZK |
| 2011-06-30 | 16.8322 CZK |
| 2011-05-31 | 17.0645 CZK |
| 2011-04-30 | 16.3151 CZK |
| 2011-03-31 | 17.2858 CZK |
| 2011-02-28 | 17.6114 CZK |
| 2011-01-31 | 17.6910 CZK |
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_12months’));
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(“2011-12-31”),19.836,19.84],[new Date(“2011-11-30”),18.868,18.87],[new Date(“2011-10-31”),17.774,17.77],[new Date(“2011-09-30”),18.359,18.36],[new Date(“2011-08-31”),16.705,16.71],[new Date(“2011-07-31”),16.877,16.88],[new Date(“2011-06-30”),16.832,16.83],[new Date(“2011-05-31”),17.065,17.06],[new Date(“2011-04-30”),16.315,16.32],[new Date(“2011-03-31”),17.286,17.29],[new Date(“2011-02-28”),17.611,17.61],[new Date(“2011-01-31”),17.691,17.69],]);var options = {
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title: ‘Date’
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‘colors’:[‘red’]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}
December, 2011
01 18.7359
02 18.6862
↗0.050, 0.26%
03 18.7195
↘0.033, 0.18%
04 18.6907
↗0.029, 0.15%
05 18.7325
↘0.042, 0.22%
06 18.8329
↘0.100, 0.54%
07 18.9024
↘0.069, 0.37%
08 18.8752
↗0.027, 0.14%
09 19.0233
↘0.148, 0.78%
10 19.0200
↗0.003, 0.02%
11 19.0200
→0.000, 0.00%
12 19.3543
↘0.334, 1.76%
13 19.5082
↘0.154, 0.80%
14 19.7497
↘0.242, 1.24%
15 19.5945
↗0.155, 0.79%
16 19.4081
↗0.186, 0.95%
17 19.4171
↘0.009, 0.05%
18 19.4171
→0.000, 0.00%
19 19.4376
↘0.021, 0.11%
20 19.5084
↘0.071, 0.36%
21 19.6199
↘0.111, 0.57%
22 19.6529
↘0.033, 0.17%
23 19.7858
↘0.133, 0.68%
24 19.7822
↗0.004, 0.02%
25 19.7822
→0.000, 0.00%
26 19.7752
↗0.007, 0.04%
27 19.7343
↗0.041, 0.21%
28 19.7908
↘0.057, 0.29%
29 20.0482
↘0.257, 1.30%
30 19.8828
↗0.165, 0.83%
31 19.8358
↗0.047, 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”);
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chart.draw(data, options);
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data.addColumn(“number”, “Conversion Rate”);
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chart.draw(data, options);
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November, 2011
01 18.3823
02 18.2261
↗0.156, 0.85%
03 18.0820
↗0.144, 0.79%
04 18.1375
↘0.055, 0.31%
05 18.1293
↗0.008, 0.05%
06 18.1293
→0.000, 0.00%
07 18.2036
↘0.074, 0.41%
08 18.4438
↘0.240, 1.32%
09 18.7080
↘0.264, 1.43%
10 18.7675
↘0.060, 0.32%
11 18.7852
↘0.018, 0.09%
12 18.7418
↗0.043, 0.23%
13 18.7418
→0.000, 0.00%
14 18.8754
↘0.134, 0.71%
15 19.0677
↘0.192, 1.02%
16 19.0266
↗0.041, 0.22%
17 19.0068
↗0.020, 0.10%
18 18.7798
↗0.227, 1.19%
19 18.7948
↘0.015, 0.08%
20 18.8079
↘0.013, 0.07%
21 19.0101
↘0.202, 1.08%
22 18.8373
↗0.173, 0.91%
23 19.1768
↘0.339, 1.80%
24 19.2315
↘0.055, 0.29%
25 19.6829
↘0.451, 2.35%
26 19.6886
↘0.006, 0.03%
27 19.6338
↗0.055, 0.28%
28 19.3029
↗0.331, 1.69%
29 19.1642
↗0.139, 0.72%
30 18.8679
↗0.296, 1.55%
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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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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October, 2011
01 18.3851
02 18.3851
→0.000, 0.00%
03 18.6242
↘0.239, 1.30%
04 18.8818
↘0.258, 1.38%
05 18.5871
↗0.295, 1.56%
06 18.6470
↘0.060, 0.32%
07 18.4886
↗0.158, 0.85%
08 18.5286
↘0.040, 0.22%
09 18.5286
→0.000, 0.00%
10 18.1936
↗0.335, 1.81%
11 18.1946
↘0.001, 0.01%
12 17.9693
↗0.225, 1.24%
13 18.0117
↘0.042, 0.24%
14 17.8971
↗0.115, 0.64%
15 17.8757
↗0.021, 0.12%
16 17.8757
→0.000, 0.00%
17 18.0005
↘0.125, 0.70%
18 18.2069
↘0.206, 1.15%
19 18.0117
↗0.195, 1.07%
20 18.0713
↘0.060, 0.33%
21 18.0791
↘0.008, 0.04%
22 18.0447
↗0.034, 0.19%
23 18.0447
→0.000, 0.00%
24 17.9873
↗0.057, 0.32%
25 17.9006
↗0.087, 0.48%
26 17.9292
↘0.029, 0.16%
27 17.6192
↗0.310, 1.73%
28 17.4429
↗0.176, 1.00%
29 17.4423
↗0.001, 0.00%
30 17.4423
→0.000, 0.00%
31 17.7740
↘0.332, 1.90%
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”);
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chart.draw(data, options);
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September, 2011
01 16.9161
02 17.0823
↘0.166, 0.98%
03 17.1152
↘0.033, 0.19%
04 17.1152
→0.000, 0.00%
05 17.2830
↘0.168, 0.98%
06 17.3545
↘0.072, 0.41%
07 17.4161
↘0.062, 0.35%
08 17.4078
↗0.008, 0.05%
09 17.7509
↘0.343, 1.97%
10 17.8208
↘0.070, 0.39%
11 17.8208
→0.000, 0.00%
12 17.9690
↘0.148, 0.83%
13 17.9717
↘0.003, 0.02%
14 17.8719
↗0.100, 0.56%
15 17.7526
↗0.119, 0.67%
16 17.7572
↘0.005, 0.03%
17 17.7405
↗0.017, 0.09%
18 17.7405
→0.000, 0.00%
19 18.0446
↘0.304, 1.71%
20 18.0194
↗0.025, 0.14%
21 18.2574
↘0.238, 1.32%
22 18.4877
↘0.230, 1.26%
23 18.4682
↗0.020, 0.11%
24 18.4181
↗0.050, 0.27%
25 18.4181
→0.000, 0.00%
26 18.2863
↗0.132, 0.72%
27 17.9974
↗0.289, 1.58%
28 18.0042
↘0.007, 0.04%
29 18.0476
↘0.043, 0.24%
30 18.3587
↘0.311, 1.72%
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(“2011-09-01”),16.916,16.92],[new Date(“2011-09-02”),17.082,17.08],[new Date(“2011-09-03”),17.115,17.12],[new Date(“2011-09-04”),17.115,17.12],[new Date(“2011-09-05”),17.283,17.28],[new Date(“2011-09-06”),17.355,17.35],[new Date(“2011-09-07”),17.416,17.42],[new Date(“2011-09-08”),17.408,17.41],[new Date(“2011-09-09”),17.751,17.75],[new Date(“2011-09-10”),17.821,17.82],[new Date(“2011-09-11”),17.821,17.82],[new Date(“2011-09-12”),17.969,17.97],[new Date(“2011-09-13”),17.972,17.97],[new Date(“2011-09-14”),17.872,17.87],[new Date(“2011-09-15”),17.753,17.75],[new Date(“2011-09-16”),17.757,17.76],[new Date(“2011-09-17”),17.740,17.74],[new Date(“2011-09-18”),17.740,17.74],[new Date(“2011-09-19”),18.045,18.04],[new Date(“2011-09-20”),18.019,18.02],[new Date(“2011-09-21”),18.257,18.26],[new Date(“2011-09-22”),18.488,18.49],[new Date(“2011-09-23”),18.468,18.47],[new Date(“2011-09-24”),18.418,18.42],[new Date(“2011-09-25”),18.418,18.42],[new Date(“2011-09-26”),18.286,18.29],[new Date(“2011-09-27”),17.997,18.00],[new Date(“2011-09-28”),18.004,18.00],[new Date(“2011-09-29”),18.048,18.05],[new Date(“2011-09-30″),18.359,18.36],]);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(“2011-09-01”),16.916,16.92],[new Date(“2011-09-02”),17.082,17.08],[new Date(“2011-09-03”),17.115,17.12],[new Date(“2011-09-04”),17.115,17.12],[new Date(“2011-09-05”),17.283,17.28],[new Date(“2011-09-06”),17.355,17.35],[new Date(“2011-09-07”),17.416,17.42],[new Date(“2011-09-08”),17.408,17.41],[new Date(“2011-09-09”),17.751,17.75],[new Date(“2011-09-10”),17.821,17.82],[new Date(“2011-09-11”),17.821,17.82],[new Date(“2011-09-12”),17.969,17.97],[new Date(“2011-09-13”),17.972,17.97],[new Date(“2011-09-14”),17.872,17.87],[new Date(“2011-09-15”),17.753,17.75],[new Date(“2011-09-16”),17.757,17.76],[new Date(“2011-09-17”),17.740,17.74],[new Date(“2011-09-18”),17.740,17.74],[new Date(“2011-09-19”),18.045,18.04],[new Date(“2011-09-20”),18.019,18.02],[new Date(“2011-09-21”),18.257,18.26],[new Date(“2011-09-22”),18.488,18.49],[new Date(“2011-09-23”),18.468,18.47],[new Date(“2011-09-24”),18.418,18.42],[new Date(“2011-09-25”),18.418,18.42],[new Date(“2011-09-26”),18.286,18.29],[new Date(“2011-09-27”),17.997,18.00],[new Date(“2011-09-28”),18.004,18.00],[new Date(“2011-09-29”),18.048,18.05],[new Date(“2011-09-30″),18.359,18.36],]);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, 2011
01 16.8084
02 17.1038
↘0.295, 1.76%
03 16.9652
↗0.139, 0.81%
04 17.1187
↘0.154, 0.90%
05 17.0799
↗0.039, 0.23%
06 17.0294
↗0.050, 0.30%
07 17.0294
→0.000, 0.00%
08 17.0216
↗0.008, 0.05%
09 16.9139
↗0.108, 0.63%
10 16.8505
↗0.063, 0.37%
11 17.0845
↘0.234, 1.39%
12 16.9750
↗0.110, 0.64%
13 16.9773
↘0.002, 0.01%
14 16.9773
→0.000, 0.00%
15 16.9527
↗0.025, 0.14%
16 16.9744
↘0.022, 0.13%
17 16.8875
↗0.087, 0.51%
18 17.0174
↘0.130, 0.77%
19 17.0154
↗0.002, 0.01%
20 17.0166
↘0.001, 0.01%
21 17.0166
→0.000, 0.00%
22 17.0099
↗0.007, 0.04%
23 16.8838
↗0.126, 0.74%
24 16.9446
↘0.061, 0.36%
25 16.8231
↗0.122, 0.72%
26 16.7315
↗0.092, 0.54%
27 16.6833
↗0.048, 0.29%
28 16.6833
→0.000, 0.00%
29 16.6345
↗0.049, 0.29%
30 16.7153
↘0.081, 0.49%
31 16.7051
↗0.010, 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(“2011-08-01”),16.808,16.81],[new Date(“2011-08-02”),17.104,17.10],[new Date(“2011-08-03”),16.965,16.97],[new Date(“2011-08-04”),17.119,17.12],[new Date(“2011-08-05”),17.080,17.08],[new Date(“2011-08-06”),17.029,17.03],[new Date(“2011-08-07”),17.029,17.03],[new Date(“2011-08-08”),17.022,17.02],[new Date(“2011-08-09”),16.914,16.91],[new Date(“2011-08-10”),16.850,16.85],[new Date(“2011-08-11”),17.084,17.08],[new Date(“2011-08-12”),16.975,16.97],[new Date(“2011-08-13”),16.977,16.98],[new Date(“2011-08-14”),16.977,16.98],[new Date(“2011-08-15”),16.953,16.95],[new Date(“2011-08-16”),16.974,16.97],[new Date(“2011-08-17”),16.888,16.89],[new Date(“2011-08-18”),17.017,17.02],[new Date(“2011-08-19”),17.015,17.02],[new Date(“2011-08-20”),17.017,17.02],[new Date(“2011-08-21”),17.017,17.02],[new Date(“2011-08-22”),17.010,17.01],[new Date(“2011-08-23”),16.884,16.88],[new Date(“2011-08-24”),16.945,16.94],[new Date(“2011-08-25”),16.823,16.82],[new Date(“2011-08-26”),16.731,16.73],[new Date(“2011-08-27”),16.683,16.68],[new Date(“2011-08-28”),16.683,16.68],[new Date(“2011-08-29”),16.634,16.63],[new Date(“2011-08-30”),16.715,16.72],[new Date(“2011-08-31″),16.705,16.71],]);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(“2011-08-01”),16.808,16.81],[new Date(“2011-08-02”),17.104,17.10],[new Date(“2011-08-03”),16.965,16.97],[new Date(“2011-08-04”),17.119,17.12],[new Date(“2011-08-05”),17.080,17.08],[new Date(“2011-08-06”),17.029,17.03],[new Date(“2011-08-07”),17.029,17.03],[new Date(“2011-08-08”),17.022,17.02],[new Date(“2011-08-09”),16.914,16.91],[new Date(“2011-08-10”),16.850,16.85],[new Date(“2011-08-11”),17.084,17.08],[new Date(“2011-08-12”),16.975,16.97],[new Date(“2011-08-13”),16.977,16.98],[new Date(“2011-08-14”),16.977,16.98],[new Date(“2011-08-15”),16.953,16.95],[new Date(“2011-08-16”),16.974,16.97],[new Date(“2011-08-17”),16.888,16.89],[new Date(“2011-08-18”),17.017,17.02],[new Date(“2011-08-19”),17.015,17.02],[new Date(“2011-08-20”),17.017,17.02],[new Date(“2011-08-21”),17.017,17.02],[new Date(“2011-08-22”),17.010,17.01],[new Date(“2011-08-23”),16.884,16.88],[new Date(“2011-08-24”),16.945,16.94],[new Date(“2011-08-25”),16.823,16.82],[new Date(“2011-08-26”),16.731,16.73],[new Date(“2011-08-27”),16.683,16.68],[new Date(“2011-08-28”),16.683,16.68],[new Date(“2011-08-29”),16.634,16.63],[new Date(“2011-08-30”),16.715,16.72],[new Date(“2011-08-31″),16.705,16.71],]);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);
}
July, 2011
01 16.7564
02 16.7335
↗0.023, 0.14%
03 16.7335
→0.000, 0.00%
04 16.7295
↗0.004, 0.02%
05 16.8187
↘0.089, 0.53%
06 16.9442
↘0.126, 0.75%
07 16.9984
↘0.054, 0.32%
08 16.9923
↗0.006, 0.04%
09 16.9757
↗0.017, 0.10%
10 16.9757
→0.000, 0.00%
11 17.2178
↘0.242, 1.43%
12 17.3462
↘0.128, 0.75%
13 17.2796
↗0.067, 0.38%
14 17.2278
↗0.052, 0.30%
15 17.3030
↘0.075, 0.44%
16 17.2937
↗0.009, 0.05%
17 17.2937
→0.000, 0.00%
18 17.3644
↘0.071, 0.41%
19 17.2953
↗0.069, 0.40%
20 17.2370
↗0.058, 0.34%
21 17.1153
↗0.122, 0.71%
22 16.9621
↗0.153, 0.90%
23 16.9635
↘0.001, 0.01%
24 16.9635
→0.000, 0.00%
25 16.9673
↘0.004, 0.02%
26 16.8113
↗0.156, 0.92%
27 16.8273
↘0.016, 0.10%
28 16.9544
↘0.127, 0.76%
29 16.9193
↗0.035, 0.21%
30 16.8765
↗0.043, 0.25%
31 16.8765
→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(“2011-07-01”),16.756,16.76],[new Date(“2011-07-02”),16.733,16.73],[new Date(“2011-07-03”),16.733,16.73],[new Date(“2011-07-04”),16.729,16.73],[new Date(“2011-07-05”),16.819,16.82],[new Date(“2011-07-06”),16.944,16.94],[new Date(“2011-07-07”),16.998,17.00],[new Date(“2011-07-08”),16.992,16.99],[new Date(“2011-07-09”),16.976,16.98],[new Date(“2011-07-10”),16.976,16.98],[new Date(“2011-07-11”),17.218,17.22],[new Date(“2011-07-12”),17.346,17.35],[new Date(“2011-07-13”),17.280,17.28],[new Date(“2011-07-14”),17.228,17.23],[new Date(“2011-07-15”),17.303,17.30],[new Date(“2011-07-16”),17.294,17.29],[new Date(“2011-07-17”),17.294,17.29],[new Date(“2011-07-18”),17.364,17.36],[new Date(“2011-07-19”),17.295,17.30],[new Date(“2011-07-20”),17.237,17.24],[new Date(“2011-07-21”),17.115,17.12],[new Date(“2011-07-22”),16.962,16.96],[new Date(“2011-07-23”),16.964,16.96],[new Date(“2011-07-24”),16.964,16.96],[new Date(“2011-07-25”),16.967,16.97],[new Date(“2011-07-26”),16.811,16.81],[new Date(“2011-07-27”),16.827,16.83],[new Date(“2011-07-28”),16.954,16.95],[new Date(“2011-07-29”),16.919,16.92],[new Date(“2011-07-30”),16.877,16.88],[new Date(“2011-07-31″),16.877,16.88],]);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(“2011-07-01”),16.756,16.76],[new Date(“2011-07-02”),16.733,16.73],[new Date(“2011-07-03”),16.733,16.73],[new Date(“2011-07-04”),16.729,16.73],[new Date(“2011-07-05”),16.819,16.82],[new Date(“2011-07-06”),16.944,16.94],[new Date(“2011-07-07”),16.998,17.00],[new Date(“2011-07-08”),16.992,16.99],[new Date(“2011-07-09”),16.976,16.98],[new Date(“2011-07-10”),16.976,16.98],[new Date(“2011-07-11”),17.218,17.22],[new Date(“2011-07-12”),17.346,17.35],[new Date(“2011-07-13”),17.280,17.28],[new Date(“2011-07-14”),17.228,17.23],[new Date(“2011-07-15”),17.303,17.30],[new Date(“2011-07-16”),17.294,17.29],[new Date(“2011-07-17”),17.294,17.29],[new Date(“2011-07-18”),17.364,17.36],[new Date(“2011-07-19”),17.295,17.30],[new Date(“2011-07-20”),17.237,17.24],[new Date(“2011-07-21”),17.115,17.12],[new Date(“2011-07-22”),16.962,16.96],[new Date(“2011-07-23”),16.964,16.96],[new Date(“2011-07-24”),16.964,16.96],[new Date(“2011-07-25”),16.967,16.97],[new Date(“2011-07-26”),16.811,16.81],[new Date(“2011-07-27”),16.827,16.83],[new Date(“2011-07-28”),16.954,16.95],[new Date(“2011-07-29”),16.919,16.92],[new Date(“2011-07-30”),16.877,16.88],[new Date(“2011-07-31″),16.877,16.88],]);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);
}
June, 2011
01 17.0323
02 16.9468
↗0.085, 0.50%
03 16.8133
↗0.134, 0.79%
04 16.7506
↗0.063, 0.37%
05 16.7506
→0.000, 0.00%
06 16.6740
↗0.077, 0.46%
07 16.5178
↗0.156, 0.94%
08 16.5801
↘0.062, 0.38%
09 16.5439
↗0.036, 0.22%
10 16.7113
↘0.167, 1.01%
11 16.7630
↘0.052, 0.31%
12 16.7630
→0.000, 0.00%
13 16.7954
↘0.032, 0.19%
14 16.7019
↗0.094, 0.56%
15 16.9888
↘0.287, 1.72%
16 17.1835
↘0.195, 1.15%
17 16.8946
↗0.289, 1.68%
18 16.8795
↗0.015, 0.09%
19 16.8795
→0.000, 0.00%
20 16.9243
↘0.045, 0.26%
21 16.8455
↗0.079, 0.47%
22 16.8928
↘0.047, 0.28%
23 17.1177
↘0.225, 1.33%
24 17.1661
↘0.048, 0.28%
25 17.1887
↘0.023, 0.13%
26 17.1887
→0.000, 0.00%
27 17.1718
↗0.017, 0.10%
28 17.0784
↗0.093, 0.54%
29 16.8668
↗0.212, 1.24%
30 16.8322
↗0.035, 0.20%
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(“2011-06-01”),17.032,17.03],[new Date(“2011-06-02”),16.947,16.95],[new Date(“2011-06-03”),16.813,16.81],[new Date(“2011-06-04”),16.751,16.75],[new Date(“2011-06-05”),16.751,16.75],[new Date(“2011-06-06”),16.674,16.67],[new Date(“2011-06-07”),16.518,16.52],[new Date(“2011-06-08”),16.580,16.58],[new Date(“2011-06-09”),16.544,16.54],[new Date(“2011-06-10”),16.711,16.71],[new Date(“2011-06-11”),16.763,16.76],[new Date(“2011-06-12”),16.763,16.76],[new Date(“2011-06-13”),16.795,16.80],[new Date(“2011-06-14”),16.702,16.70],[new Date(“2011-06-15”),16.989,16.99],[new Date(“2011-06-16”),17.183,17.18],[new Date(“2011-06-17”),16.895,16.89],[new Date(“2011-06-18”),16.880,16.88],[new Date(“2011-06-19”),16.880,16.88],[new Date(“2011-06-20”),16.924,16.92],[new Date(“2011-06-21”),16.846,16.85],[new Date(“2011-06-22”),16.893,16.89],[new Date(“2011-06-23”),17.118,17.12],[new Date(“2011-06-24”),17.166,17.17],[new Date(“2011-06-25”),17.189,17.19],[new Date(“2011-06-26”),17.189,17.19],[new Date(“2011-06-27”),17.172,17.17],[new Date(“2011-06-28”),17.078,17.08],[new Date(“2011-06-29”),16.867,16.87],[new Date(“2011-06-30″),16.832,16.83],]);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_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(“2011-06-01”),17.032,17.03],[new Date(“2011-06-02”),16.947,16.95],[new Date(“2011-06-03”),16.813,16.81],[new Date(“2011-06-04”),16.751,16.75],[new Date(“2011-06-05”),16.751,16.75],[new Date(“2011-06-06”),16.674,16.67],[new Date(“2011-06-07”),16.518,16.52],[new Date(“2011-06-08”),16.580,16.58],[new Date(“2011-06-09”),16.544,16.54],[new Date(“2011-06-10”),16.711,16.71],[new Date(“2011-06-11”),16.763,16.76],[new Date(“2011-06-12”),16.763,16.76],[new Date(“2011-06-13”),16.795,16.80],[new Date(“2011-06-14”),16.702,16.70],[new Date(“2011-06-15”),16.989,16.99],[new Date(“2011-06-16”),17.183,17.18],[new Date(“2011-06-17”),16.895,16.89],[new Date(“2011-06-18”),16.880,16.88],[new Date(“2011-06-19”),16.880,16.88],[new Date(“2011-06-20”),16.924,16.92],[new Date(“2011-06-21”),16.846,16.85],[new Date(“2011-06-22”),16.893,16.89],[new Date(“2011-06-23”),17.118,17.12],[new Date(“2011-06-24”),17.166,17.17],[new Date(“2011-06-25”),17.189,17.19],[new Date(“2011-06-26”),17.189,17.19],[new Date(“2011-06-27”),17.172,17.17],[new Date(“2011-06-28”),17.078,17.08],[new Date(“2011-06-29”),16.867,16.87],[new Date(“2011-06-30″),16.832,16.83],]);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_6’));
chart.draw(data, options);
}
May, 2011
01 16.3151
02 16.2924
↗0.023, 0.14%
03 16.3435
↘0.051, 0.31%
04 16.2753
↗0.068, 0.42%
05 16.4105
↘0.135, 0.83%
06 16.6798
↘0.269, 1.64%
07 16.7449
↘0.065, 0.39%
08 16.7449
→0.000, 0.00%
09 16.8136
↘0.069, 0.41%
10 16.8619
↘0.048, 0.29%
11 16.9452
↘0.083, 0.49%
12 17.1341
↘0.189, 1.11%
13 17.1328
↗0.001, 0.01%
14 17.1872
↘0.054, 0.32%
15 17.1872
→0.000, 0.00%
16 17.2358
↘0.049, 0.28%
17 17.2346
↗0.001, 0.01%
18 17.2149
↗0.020, 0.11%
19 17.1279
↗0.087, 0.51%
20 17.2136
↘0.086, 0.50%
21 17.2354
↘0.022, 0.13%
22 17.2354
→0.000, 0.00%
23 17.4923
↘0.257, 1.49%
24 17.4378
↗0.055, 0.31%
25 17.4745
↘0.037, 0.21%
26 17.3834
↗0.091, 0.52%
27 17.2059
↗0.178, 1.02%
28 17.1773
↗0.029, 0.17%
29 17.1773
→0.000, 0.00%
30 17.1596
↗0.018, 0.10%
31 17.0645
↗0.095, 0.55%
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(“2011-05-01”),16.315,16.32],[new Date(“2011-05-02”),16.292,16.29],[new Date(“2011-05-03”),16.344,16.34],[new Date(“2011-05-04”),16.275,16.28],[new Date(“2011-05-05”),16.411,16.41],[new Date(“2011-05-06”),16.680,16.68],[new Date(“2011-05-07”),16.745,16.74],[new Date(“2011-05-08”),16.745,16.74],[new Date(“2011-05-09”),16.814,16.81],[new Date(“2011-05-10”),16.862,16.86],[new Date(“2011-05-11”),16.945,16.95],[new Date(“2011-05-12”),17.134,17.13],[new Date(“2011-05-13”),17.133,17.13],[new Date(“2011-05-14”),17.187,17.19],[new Date(“2011-05-15”),17.187,17.19],[new Date(“2011-05-16”),17.236,17.24],[new Date(“2011-05-17”),17.235,17.23],[new Date(“2011-05-18”),17.215,17.21],[new Date(“2011-05-19”),17.128,17.13],[new Date(“2011-05-20”),17.214,17.21],[new Date(“2011-05-21”),17.235,17.24],[new Date(“2011-05-22”),17.235,17.24],[new Date(“2011-05-23”),17.492,17.49],[new Date(“2011-05-24”),17.438,17.44],[new Date(“2011-05-25”),17.475,17.47],[new Date(“2011-05-26”),17.383,17.38],[new Date(“2011-05-27”),17.206,17.21],[new Date(“2011-05-28”),17.177,17.18],[new Date(“2011-05-29”),17.177,17.18],[new Date(“2011-05-30”),17.160,17.16],[new Date(“2011-05-31″),17.065,17.06],]);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(“2011-05-01”),16.315,16.32],[new Date(“2011-05-02”),16.292,16.29],[new Date(“2011-05-03”),16.344,16.34],[new Date(“2011-05-04”),16.275,16.28],[new Date(“2011-05-05”),16.411,16.41],[new Date(“2011-05-06”),16.680,16.68],[new Date(“2011-05-07”),16.745,16.74],[new Date(“2011-05-08”),16.745,16.74],[new Date(“2011-05-09”),16.814,16.81],[new Date(“2011-05-10”),16.862,16.86],[new Date(“2011-05-11”),16.945,16.95],[new Date(“2011-05-12”),17.134,17.13],[new Date(“2011-05-13”),17.133,17.13],[new Date(“2011-05-14”),17.187,17.19],[new Date(“2011-05-15”),17.187,17.19],[new Date(“2011-05-16”),17.236,17.24],[new Date(“2011-05-17”),17.235,17.23],[new Date(“2011-05-18”),17.215,17.21],[new Date(“2011-05-19”),17.128,17.13],[new Date(“2011-05-20”),17.214,17.21],[new Date(“2011-05-21”),17.235,17.24],[new Date(“2011-05-22”),17.235,17.24],[new Date(“2011-05-23”),17.492,17.49],[new Date(“2011-05-24”),17.438,17.44],[new Date(“2011-05-25”),17.475,17.47],[new Date(“2011-05-26”),17.383,17.38],[new Date(“2011-05-27”),17.206,17.21],[new Date(“2011-05-28”),17.177,17.18],[new Date(“2011-05-29”),17.177,17.18],[new Date(“2011-05-30”),17.160,17.16],[new Date(“2011-05-31″),17.065,17.06],]);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, 2011
01 17.2993
02 17.2646
↗0.035, 0.20%
03 17.2646
→0.000, 0.00%
04 17.1840
↗0.081, 0.47%
05 17.2219
↘0.038, 0.22%
06 17.0715
↗0.150, 0.87%
07 17.1049
↘0.033, 0.20%
08 16.9384
↗0.167, 0.97%
09 16.9126
↗0.026, 0.15%
10 16.9126
→0.000, 0.00%
11 16.9230
↘0.010, 0.06%
12 16.8874
↗0.036, 0.21%
13 16.8387
↗0.049, 0.29%
14 16.8142
↗0.024, 0.15%
15 16.7666
↗0.048, 0.28%
16 16.7768
↘0.010, 0.06%
17 16.7768
→0.000, 0.00%
18 16.9527
↘0.176, 1.05%
19 16.8627
↗0.090, 0.53%
20 16.6604
↗0.202, 1.20%
21 16.5741
↗0.086, 0.52%
22 16.5685
↗0.006, 0.03%
23 16.5685
→0.000, 0.00%
24 16.5685
→0.000, 0.00%
25 16.5531
↗0.015, 0.09%
26 16.4709
↗0.082, 0.50%
27 16.4203
↗0.051, 0.31%
28 16.2969
↗0.123, 0.75%
29 16.3080
↘0.011, 0.07%
30 16.3151
↘0.007, 0.04%
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(“2011-04-01”),17.299,17.30],[new Date(“2011-04-02”),17.265,17.26],[new Date(“2011-04-03”),17.265,17.26],[new Date(“2011-04-04”),17.184,17.18],[new Date(“2011-04-05”),17.222,17.22],[new Date(“2011-04-06”),17.071,17.07],[new Date(“2011-04-07”),17.105,17.10],[new Date(“2011-04-08”),16.938,16.94],[new Date(“2011-04-09”),16.913,16.91],[new Date(“2011-04-10”),16.913,16.91],[new Date(“2011-04-11”),16.923,16.92],[new Date(“2011-04-12”),16.887,16.89],[new Date(“2011-04-13”),16.839,16.84],[new Date(“2011-04-14”),16.814,16.81],[new Date(“2011-04-15”),16.767,16.77],[new Date(“2011-04-16”),16.777,16.78],[new Date(“2011-04-17”),16.777,16.78],[new Date(“2011-04-18”),16.953,16.95],[new Date(“2011-04-19”),16.863,16.86],[new Date(“2011-04-20”),16.660,16.66],[new Date(“2011-04-21”),16.574,16.57],[new Date(“2011-04-22”),16.568,16.57],[new Date(“2011-04-23”),16.568,16.57],[new Date(“2011-04-24”),16.568,16.57],[new Date(“2011-04-25”),16.553,16.55],[new Date(“2011-04-26”),16.471,16.47],[new Date(“2011-04-27”),16.420,16.42],[new Date(“2011-04-28”),16.297,16.30],[new Date(“2011-04-29”),16.308,16.31],[new Date(“2011-04-30″),16.315,16.32],]);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(“2011-04-01”),17.299,17.30],[new Date(“2011-04-02”),17.265,17.26],[new Date(“2011-04-03”),17.265,17.26],[new Date(“2011-04-04”),17.184,17.18],[new Date(“2011-04-05”),17.222,17.22],[new Date(“2011-04-06”),17.071,17.07],[new Date(“2011-04-07”),17.105,17.10],[new Date(“2011-04-08”),16.938,16.94],[new Date(“2011-04-09”),16.913,16.91],[new Date(“2011-04-10”),16.913,16.91],[new Date(“2011-04-11”),16.923,16.92],[new Date(“2011-04-12”),16.887,16.89],[new Date(“2011-04-13”),16.839,16.84],[new Date(“2011-04-14”),16.814,16.81],[new Date(“2011-04-15”),16.767,16.77],[new Date(“2011-04-16”),16.777,16.78],[new Date(“2011-04-17”),16.777,16.78],[new Date(“2011-04-18”),16.953,16.95],[new Date(“2011-04-19”),16.863,16.86],[new Date(“2011-04-20”),16.660,16.66],[new Date(“2011-04-21”),16.574,16.57],[new Date(“2011-04-22”),16.568,16.57],[new Date(“2011-04-23”),16.568,16.57],[new Date(“2011-04-24”),16.568,16.57],[new Date(“2011-04-25”),16.553,16.55],[new Date(“2011-04-26”),16.471,16.47],[new Date(“2011-04-27”),16.420,16.42],[new Date(“2011-04-28”),16.297,16.30],[new Date(“2011-04-29”),16.308,16.31],[new Date(“2011-04-30″),16.315,16.32],]);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, 2011
01 17.6344
02 17.5685
↗0.066, 0.37%
03 17.4614
↗0.107, 0.61%
04 17.4051
↗0.056, 0.32%
05 17.3909
↗0.014, 0.08%
06 17.3909
→0.000, 0.00%
07 17.2847
↗0.106, 0.61%
08 17.4426
↘0.158, 0.91%
09 17.4499
↘0.007, 0.04%
10 17.6375
↘0.188, 1.08%
11 17.6213
↗0.016, 0.09%
12 17.5740
↗0.047, 0.27%
13 17.5740
→0.000, 0.00%
14 17.4276
↗0.146, 0.83%
15 17.5400
↘0.112, 0.65%
16 17.5092
↗0.031, 0.18%
17 17.4196
↗0.090, 0.51%
18 17.2551
↗0.165, 0.94%
19 17.2504
↗0.005, 0.03%
20 17.2504
→0.000, 0.00%
21 17.2276
↗0.023, 0.13%
22 17.1993
↗0.028, 0.16%
23 17.2794
↘0.080, 0.47%
24 17.3639
↘0.085, 0.49%
25 17.3747
↘0.011, 0.06%
26 17.3715
↗0.003, 0.02%
27 17.3715
→0.000, 0.00%
28 17.4731
↘0.102, 0.59%
29 17.4176
↗0.056, 0.32%
30 17.3982
↗0.019, 0.11%
31 17.2858
↗0.112, 0.65%
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(“2011-03-01”),17.634,17.63],[new Date(“2011-03-02”),17.569,17.57],[new Date(“2011-03-03”),17.461,17.46],[new Date(“2011-03-04”),17.405,17.41],[new Date(“2011-03-05”),17.391,17.39],[new Date(“2011-03-06”),17.391,17.39],[new Date(“2011-03-07”),17.285,17.28],[new Date(“2011-03-08”),17.443,17.44],[new Date(“2011-03-09”),17.450,17.45],[new Date(“2011-03-10”),17.638,17.64],[new Date(“2011-03-11”),17.621,17.62],[new Date(“2011-03-12”),17.574,17.57],[new Date(“2011-03-13”),17.574,17.57],[new Date(“2011-03-14”),17.428,17.43],[new Date(“2011-03-15”),17.540,17.54],[new Date(“2011-03-16”),17.509,17.51],[new Date(“2011-03-17”),17.420,17.42],[new Date(“2011-03-18”),17.255,17.26],[new Date(“2011-03-19”),17.250,17.25],[new Date(“2011-03-20”),17.250,17.25],[new Date(“2011-03-21”),17.228,17.23],[new Date(“2011-03-22”),17.199,17.20],[new Date(“2011-03-23”),17.279,17.28],[new Date(“2011-03-24”),17.364,17.36],[new Date(“2011-03-25”),17.375,17.37],[new Date(“2011-03-26”),17.371,17.37],[new Date(“2011-03-27”),17.371,17.37],[new Date(“2011-03-28”),17.473,17.47],[new Date(“2011-03-29”),17.418,17.42],[new Date(“2011-03-30”),17.398,17.40],[new Date(“2011-03-31″),17.286,17.29],]);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(“2011-03-01”),17.634,17.63],[new Date(“2011-03-02”),17.569,17.57],[new Date(“2011-03-03”),17.461,17.46],[new Date(“2011-03-04”),17.405,17.41],[new Date(“2011-03-05”),17.391,17.39],[new Date(“2011-03-06”),17.391,17.39],[new Date(“2011-03-07”),17.285,17.28],[new Date(“2011-03-08”),17.443,17.44],[new Date(“2011-03-09”),17.450,17.45],[new Date(“2011-03-10”),17.638,17.64],[new Date(“2011-03-11”),17.621,17.62],[new Date(“2011-03-12”),17.574,17.57],[new Date(“2011-03-13”),17.574,17.57],[new Date(“2011-03-14”),17.428,17.43],[new Date(“2011-03-15”),17.540,17.54],[new Date(“2011-03-16”),17.509,17.51],[new Date(“2011-03-17”),17.420,17.42],[new Date(“2011-03-18”),17.255,17.26],[new Date(“2011-03-19”),17.250,17.25],[new Date(“2011-03-20”),17.250,17.25],[new Date(“2011-03-21”),17.228,17.23],[new Date(“2011-03-22”),17.199,17.20],[new Date(“2011-03-23”),17.279,17.28],[new Date(“2011-03-24”),17.364,17.36],[new Date(“2011-03-25”),17.375,17.37],[new Date(“2011-03-26”),17.371,17.37],[new Date(“2011-03-27”),17.371,17.37],[new Date(“2011-03-28”),17.473,17.47],[new Date(“2011-03-29”),17.418,17.42],[new Date(“2011-03-30”),17.398,17.40],[new Date(“2011-03-31″),17.286,17.29],]);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, 2011
01 17.4935
02 17.4773
↗0.016, 0.09%
03 17.5350
↘0.058, 0.33%
04 17.6339
↘0.099, 0.56%
05 17.6476
↘0.014, 0.08%
06 17.6476
→0.000, 0.00%
07 17.7592
↘0.112, 0.63%
08 17.6188
↗0.140, 0.79%
09 17.7208
↘0.102, 0.58%
10 17.8289
↘0.108, 0.61%
11 17.9223
↘0.093, 0.52%
12 17.9136
↗0.009, 0.05%
13 17.9136
→0.000, 0.00%
14 18.0348
↘0.121, 0.68%
15 18.0005
↗0.034, 0.19%
16 17.9870
↗0.013, 0.07%
17 17.9218
↗0.065, 0.36%
18 17.8771
↗0.045, 0.25%
19 17.8670
↗0.010, 0.06%
20 17.8670
→0.000, 0.00%
21 17.8824
↘0.015, 0.09%
22 17.9333
↘0.051, 0.28%
23 17.8600
↗0.073, 0.41%
24 17.7957
↗0.064, 0.36%
25 17.7878
↗0.008, 0.04%
26 17.7881
↘0.000, 0.00%
27 17.7881
→0.000, 0.00%
28 17.6114
↗0.177, 0.99%
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(“2011-02-01”),17.494,17.49],[new Date(“2011-02-02”),17.477,17.48],[new Date(“2011-02-03”),17.535,17.53],[new Date(“2011-02-04”),17.634,17.63],[new Date(“2011-02-05”),17.648,17.65],[new Date(“2011-02-06”),17.648,17.65],[new Date(“2011-02-07”),17.759,17.76],[new Date(“2011-02-08”),17.619,17.62],[new Date(“2011-02-09”),17.721,17.72],[new Date(“2011-02-10”),17.829,17.83],[new Date(“2011-02-11”),17.922,17.92],[new Date(“2011-02-12”),17.914,17.91],[new Date(“2011-02-13”),17.914,17.91],[new Date(“2011-02-14”),18.035,18.03],[new Date(“2011-02-15”),18.000,18.00],[new Date(“2011-02-16”),17.987,17.99],[new Date(“2011-02-17”),17.922,17.92],[new Date(“2011-02-18”),17.877,17.88],[new Date(“2011-02-19”),17.867,17.87],[new Date(“2011-02-20”),17.867,17.87],[new Date(“2011-02-21”),17.882,17.88],[new Date(“2011-02-22”),17.933,17.93],[new Date(“2011-02-23”),17.860,17.86],[new Date(“2011-02-24”),17.796,17.80],[new Date(“2011-02-25”),17.788,17.79],[new Date(“2011-02-26”),17.788,17.79],[new Date(“2011-02-27”),17.788,17.79],[new Date(“2011-02-28″),17.611,17.61],]);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_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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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
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January, 2011
01 18.7428
02 18.7428
→0.000, 0.00%
03 18.7827
↘0.040, 0.21%
04 18.5831
↗0.200, 1.06%
05 18.8396
↘0.257, 1.38%
06 18.8692
↘0.030, 0.16%
07 18.9572
↘0.088, 0.47%
08 18.9615
↘0.004, 0.02%
09 18.9615
→0.000, 0.00%
10 19.0809
↘0.119, 0.63%
11 18.9360
↗0.145, 0.76%
12 18.7327
↗0.203, 1.07%
13 18.4146
↗0.318, 1.70%
14 18.2724
↗0.142, 0.77%
15 18.2782
↘0.006, 0.03%
16 18.2782
→0.000, 0.00%
17 18.2839
↘0.006, 0.03%
18 18.1592
↗0.125, 0.68%
19 17.9805
↗0.179, 0.98%
20 18.1038
↘0.123, 0.69%
21 17.9332
↗0.171, 0.94%
22 17.9055
↗0.028, 0.15%
23 17.9055
→0.000, 0.00%
24 17.8171
↗0.088, 0.49%
25 17.7821
↗0.035, 0.20%
26 17.6957
↗0.086, 0.49%
27 17.6628
↗0.033, 0.19%
28 17.6883
↘0.026, 0.14%
29 17.6902
↘0.002, 0.01%
30 17.6902
→0.000, 0.00%
31 17.6910
↘0.001, 0.00%
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