Australian Dollar AUD 2013 Conversion Rates
- Opening Value is 0.963889 AUD per Dollar
- Closing Value is 1.128797 AUD per Dollar
- Change in Value during 2013 is 0.1649 which is 17.11%
- Best Performance is on 2013-01-10 with 0.944206 AUD per Dollar
- Lowest Performance is on 2013-12-18 with 1.130044 AUD per Dollar
- Average Value is 1.0370 AUD per Dollar
- Swing Between the higest and the lowest is 0.1858 per Dollar, that is 19.28% compared to the opening value.
USD to AUD Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2013-12-31 | 1.1288 AUD |
| 2013-11-30 | 1.0978 AUD |
| 2013-10-31 | 1.0567 AUD |
| 2013-09-30 | 1.0721 AUD |
| 2013-08-31 | 1.1234 AUD |
| 2013-07-31 | 1.1149 AUD |
| 2013-06-30 | 1.0943 AUD |
| 2013-05-31 | 1.0421 AUD |
| 2013-04-30 | 0.9665 AUD |
| 2013-03-31 | 0.9601 AUD |
| 2013-02-28 | 0.9777 AUD |
| 2013-01-31 | 0.9589 AUD |
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December, 2013
01 1.0958
02 1.0982
↘0.002, 0.21%
03 1.0947
↗0.004, 0.32%
04 1.1074
↘0.013, 1.17%
05 1.1030
↗0.004, 0.41%
06 1.0987
↗0.004, 0.39%
07 1.0987
↘0.000, 0.00%
08 1.0965
↗0.002, 0.20%
09 1.0984
↘0.002, 0.18%
10 1.0935
↗0.005, 0.45%
11 1.1062
↘0.013, 1.16%
12 1.1201
↘0.014, 1.26%
13 1.1158
↗0.004, 0.39%
14 1.1159
↘0.000, 0.01%
15 1.1164
↘0.000, 0.04%
16 1.1184
↘0.002, 0.18%
17 1.1232
↘0.005, 0.43%
18 1.1300
↘0.007, 0.61%
19 1.1285
↗0.002, 0.13%
20 1.1208
↗0.008, 0.68%
21 1.1208
↗0.000, 0.00%
22 1.1210
↘0.000, 0.02%
23 1.1196
↗0.001, 0.13%
24 1.1208
↘0.001, 0.11%
25 1.1204
↗0.000, 0.03%
26 1.1245
↘0.004, 0.36%
27 1.1275
↘0.003, 0.27%
28 1.1276
↘0.000, 0.00%
29 1.1289
↘0.001, 0.12%
30 1.1227
↗0.006, 0.55%
31 1.1288
↘0.006, 0.54%
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November, 2013
01 1.0586
02 1.0581
↗0.000, 0.05%
03 1.0574
↗0.001, 0.07%
04 1.0519
↗0.005, 0.52%
05 1.0524
↘0.001, 0.05%
06 1.0499
↗0.003, 0.24%
07 1.0573
↘0.007, 0.71%
08 1.0655
↘0.008, 0.78%
09 1.0656
↘0.000, 0.01%
10 1.0656
↘0.000, 0.00%
11 1.0687
↘0.003, 0.28%
12 1.0752
↘0.007, 0.61%
13 1.0682
↗0.007, 0.65%
14 1.0735
↘0.005, 0.50%
15 1.0674
↗0.006, 0.57%
16 1.0673
↗0.000, 0.01%
17 1.0666
↗0.001, 0.07%
18 1.0665
↗0.000, 0.00%
19 1.0606
↗0.006, 0.56%
20 1.0720
↘0.011, 1.08%
21 1.0831
↘0.011, 1.04%
22 1.0898
↘0.007, 0.62%
23 1.0908
↘0.001, 0.09%
24 1.0908
↗0.000, 0.00%
25 1.0907
↗0.000, 0.01%
26 1.0955
↘0.005, 0.44%
27 1.1015
↘0.006, 0.55%
28 1.0988
↗0.003, 0.24%
29 1.0980
↗0.001, 0.07%
30 1.0978
↗0.000, 0.02%
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October, 2013
01 1.0653
02 1.0661
↘0.001, 0.07%
03 1.0650
↗0.001, 0.10%
04 1.0599
↗0.005, 0.48%
05 1.0600
↘0.000, 0.01%
06 1.0600
↗0.000, 0.00%
07 1.0614
↘0.001, 0.13%
08 1.0598
↗0.002, 0.15%
09 1.0577
↗0.002, 0.19%
10 1.0585
↘0.001, 0.08%
11 1.0562
↗0.002, 0.22%
12 1.0562
↗0.000, 0.00%
13 1.0584
↘0.002, 0.21%
14 1.0539
↗0.004, 0.42%
15 1.0497
↗0.004, 0.40%
16 1.0475
↗0.002, 0.21%
17 1.0398
↗0.008, 0.74%
18 1.0340
↗0.006, 0.55%
19 1.0336
↗0.000, 0.04%
20 1.0340
↘0.000, 0.04%
21 1.0354
↘0.001, 0.14%
22 1.0312
↗0.004, 0.41%
23 1.0391
↘0.008, 0.77%
24 1.0397
↘0.001, 0.06%
25 1.0432
↘0.004, 0.34%
26 1.0434
↘0.000, 0.02%
27 1.0432
↗0.000, 0.02%
28 1.0451
↘0.002, 0.18%
29 1.0542
↘0.009, 0.87%
30 1.0552
↘0.001, 0.09%
31 1.0567
↘0.002, 0.15%
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September, 2013
01 1.1215
02 1.1119
↗0.010, 0.86%
03 1.1058
↗0.006, 0.54%
04 1.0917
↗0.014, 1.28%
05 1.0956
↘0.004, 0.36%
06 1.0886
↗0.007, 0.64%
07 1.0887
↘0.000, 0.01%
08 1.0873
↗0.001, 0.12%
09 1.0840
↗0.003, 0.30%
10 1.0758
↗0.008, 0.77%
11 1.0726
↗0.003, 0.29%
12 1.0798
↘0.007, 0.67%
13 1.0816
↘0.002, 0.17%
14 1.0815
↗0.000, 0.01%
15 1.0724
↗0.009, 0.84%
16 1.0720
↗0.000, 0.03%
17 1.0694
↗0.003, 0.24%
18 1.0559
↗0.014, 1.26%
19 1.0578
↘0.002, 0.18%
20 1.0634
↘0.006, 0.53%
21 1.0639
↘0.001, 0.05%
22 1.0650
↘0.001, 0.11%
23 1.0611
↗0.004, 0.36%
24 1.0656
↘0.004, 0.42%
25 1.0684
↘0.003, 0.27%
26 1.0679
↗0.001, 0.05%
27 1.0723
↘0.004, 0.41%
28 1.0723
→0.000, 0.00%
29 1.0733
↘0.001, 0.10%
30 1.0721
↗0.001, 0.11%
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August, 2013
01 1.1177
02 1.1229
↘0.005, 0.46%
03 1.1229
↘0.000, 0.00%
04 1.1227
↗0.000, 0.02%
05 1.1210
↗0.002, 0.15%
06 1.1130
↗0.008, 0.71%
07 1.1128
↗0.000, 0.02%
08 1.0991
↗0.014, 1.23%
09 1.0881
↗0.011, 0.99%
10 1.0867
↗0.001, 0.14%
11 1.0876
↘0.001, 0.08%
12 1.0946
↘0.007, 0.64%
13 1.0983
↘0.004, 0.34%
14 1.0967
↗0.002, 0.15%
15 1.0936
↗0.003, 0.28%
16 1.0890
↗0.005, 0.42%
17 1.0887
↗0.000, 0.03%
18 1.0886
↗0.000, 0.01%
19 1.0942
↘0.006, 0.51%
20 1.1032
↘0.009, 0.83%
21 1.1133
↘0.010, 0.91%
22 1.1092
↗0.004, 0.37%
23 1.1082
↗0.001, 0.10%
24 1.1076
↗0.001, 0.05%
25 1.1074
↗0.000, 0.02%
26 1.1080
↘0.001, 0.05%
27 1.1146
↘0.007, 0.59%
28 1.1186
↘0.004, 0.36%
29 1.1206
↘0.002, 0.18%
30 1.1226
↘0.002, 0.18%
31 1.1234
↘0.001, 0.07%
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data.addColumn(“number”, “Conversion Rate”);
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July, 2013
01 1.0846
02 1.0922
↘0.008, 0.70%
03 1.1006
↘0.008, 0.77%
04 1.0945
↗0.006, 0.56%
05 1.1002
↘0.006, 0.52%
06 1.1030
↘0.003, 0.26%
07 1.1034
↘0.000, 0.03%
08 1.0967
↗0.007, 0.61%
09 1.0911
↗0.006, 0.51%
10 1.0829
↗0.008, 0.75%
11 1.0886
↘0.006, 0.53%
12 1.1058
↘0.017, 1.58%
13 1.1049
↗0.001, 0.08%
14 1.1031
↗0.002, 0.16%
15 1.0993
↗0.004, 0.35%
16 1.0830
↗0.016, 1.48%
17 1.0836
↘0.001, 0.05%
18 1.0879
↘0.004, 0.40%
19 1.0884
↘0.000, 0.04%
20 1.0891
↘0.001, 0.06%
21 1.0880
↗0.001, 0.10%
22 1.0826
↗0.005, 0.50%
23 1.0792
↗0.003, 0.31%
24 1.0907
↘0.012, 1.07%
25 1.0835
↗0.007, 0.66%
26 1.0794
↗0.004, 0.38%
27 1.0797
↘0.000, 0.03%
28 1.0789
↗0.001, 0.07%
29 1.0860
↘0.007, 0.66%
30 1.1019
↘0.016, 1.46%
31 1.1149
↘0.013, 1.18%
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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data.addColumn(“number”, “Conversion Rate”);
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June, 2013
01 1.0454
02 1.0434
↗0.002, 0.19%
03 1.0273
↗0.016, 1.54%
04 1.0362
↘0.009, 0.86%
05 1.0476
↘0.011, 1.10%
06 1.0470
↗0.001, 0.06%
07 1.0525
↘0.006, 0.53%
08 1.0525
→0.000, 0.00%
09 1.0577
↘0.005, 0.49%
10 1.0580
↘0.000, 0.03%
11 1.0623
↘0.004, 0.40%
12 1.0539
↗0.008, 0.79%
13 1.0408
↗0.013, 1.24%
14 1.0441
↘0.003, 0.32%
15 1.0440
↗0.000, 0.01%
16 1.0440
↗0.000, 0.00%
17 1.0454
↘0.001, 0.13%
18 1.0551
↘0.010, 0.93%
19 1.0716
↘0.016, 1.56%
20 1.0866
↘0.015, 1.40%
21 1.0843
↗0.002, 0.21%
22 1.0841
↗0.000, 0.02%
23 1.0833
↗0.001, 0.07%
24 1.0830
↗0.000, 0.03%
25 1.0793
↗0.004, 0.34%
26 1.0771
↗0.002, 0.20%
27 1.0766
↗0.001, 0.05%
28 1.0908
↘0.014, 1.32%
29 1.0935
↘0.003, 0.25%
30 1.0943
↘0.001, 0.07%
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data.addColumn(“number”, “Conversion Rate”);
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May, 2013
01 0.9730
02 0.9750
↘0.002, 0.21%
03 0.9703
↗0.005, 0.48%
04 0.9693
↗0.001, 0.10%
05 0.9698
↘0.000, 0.05%
06 0.9756
↘0.006, 0.59%
07 0.9818
↘0.006, 0.64%
08 0.9825
↘0.001, 0.07%
09 0.9881
↘0.006, 0.58%
10 0.9975
↘0.009, 0.95%
11 0.9980
↘0.000, 0.05%
12 0.9990
↘0.001, 0.10%
13 1.0037
↘0.005, 0.47%
14 1.0090
↘0.005, 0.53%
15 1.0083
↗0.001, 0.07%
16 1.0187
↘0.010, 1.03%
17 1.0276
↘0.009, 0.87%
18 1.0243
↗0.003, 0.32%
19 1.0231
↗0.001, 0.11%
20 1.0201
↗0.003, 0.29%
21 1.0202
↘0.000, 0.00%
22 1.0299
↘0.010, 0.95%
23 1.0283
↗0.002, 0.16%
24 1.0356
↘0.007, 0.71%
25 1.0361
↘0.001, 0.05%
26 1.0360
↗0.000, 0.00%
27 1.0374
↘0.001, 0.13%
28 1.0391
↘0.002, 0.16%
29 1.0395
↘0.000, 0.04%
30 1.0352
↗0.004, 0.42%
31 1.0421
↘0.007, 0.67%
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-05-01”),0.973,0.97],[new Date(“2013-05-02”),0.975,0.97],[new Date(“2013-05-03”),0.970,0.97],[new Date(“2013-05-04”),0.969,0.97],[new Date(“2013-05-05”),0.970,0.97],[new Date(“2013-05-06”),0.976,0.98],[new Date(“2013-05-07”),0.982,0.98],[new Date(“2013-05-08”),0.982,0.98],[new Date(“2013-05-09”),0.988,0.99],[new Date(“2013-05-10”),0.998,1.00],[new Date(“2013-05-11”),0.998,1.00],[new Date(“2013-05-12”),0.999,1.00],[new Date(“2013-05-13”),1.004,1.00],[new Date(“2013-05-14”),1.009,1.01],[new Date(“2013-05-15”),1.008,1.01],[new Date(“2013-05-16”),1.019,1.02],[new Date(“2013-05-17”),1.028,1.03],[new Date(“2013-05-18”),1.024,1.02],[new Date(“2013-05-19”),1.023,1.02],[new Date(“2013-05-20”),1.020,1.02],[new Date(“2013-05-21”),1.020,1.02],[new Date(“2013-05-22”),1.030,1.03],[new Date(“2013-05-23”),1.028,1.03],[new Date(“2013-05-24”),1.036,1.04],[new Date(“2013-05-25”),1.036,1.04],[new Date(“2013-05-26”),1.036,1.04],[new Date(“2013-05-27”),1.037,1.04],[new Date(“2013-05-28”),1.039,1.04],[new Date(“2013-05-29”),1.039,1.04],[new Date(“2013-05-30”),1.035,1.04],[new Date(“2013-05-31″),1.042,1.04],]);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(“2013-05-01”),0.973,0.97],[new Date(“2013-05-02”),0.975,0.97],[new Date(“2013-05-03”),0.970,0.97],[new Date(“2013-05-04”),0.969,0.97],[new Date(“2013-05-05”),0.970,0.97],[new Date(“2013-05-06”),0.976,0.98],[new Date(“2013-05-07”),0.982,0.98],[new Date(“2013-05-08”),0.982,0.98],[new Date(“2013-05-09”),0.988,0.99],[new Date(“2013-05-10”),0.998,1.00],[new Date(“2013-05-11”),0.998,1.00],[new Date(“2013-05-12”),0.999,1.00],[new Date(“2013-05-13”),1.004,1.00],[new Date(“2013-05-14”),1.009,1.01],[new Date(“2013-05-15”),1.008,1.01],[new Date(“2013-05-16”),1.019,1.02],[new Date(“2013-05-17”),1.028,1.03],[new Date(“2013-05-18”),1.024,1.02],[new Date(“2013-05-19”),1.023,1.02],[new Date(“2013-05-20”),1.020,1.02],[new Date(“2013-05-21”),1.020,1.02],[new Date(“2013-05-22”),1.030,1.03],[new Date(“2013-05-23”),1.028,1.03],[new Date(“2013-05-24”),1.036,1.04],[new Date(“2013-05-25”),1.036,1.04],[new Date(“2013-05-26”),1.036,1.04],[new Date(“2013-05-27”),1.037,1.04],[new Date(“2013-05-28”),1.039,1.04],[new Date(“2013-05-29”),1.039,1.04],[new Date(“2013-05-30”),1.035,1.04],[new Date(“2013-05-31″),1.042,1.04],]);var options = {
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
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April, 2013
01 0.9596
02 0.9567
↗0.003, 0.30%
03 0.9558
↗0.001, 0.10%
04 0.9587
↘0.003, 0.30%
05 0.9604
↘0.002, 0.18%
06 0.9613
↘0.001, 0.10%
07 0.9634
↘0.002, 0.22%
08 0.9604
↗0.003, 0.32%
09 0.9542
↗0.006, 0.64%
10 0.9490
↗0.005, 0.55%
11 0.9489
↗0.000, 0.01%
12 0.9519
↘0.003, 0.32%
13 0.9519
↗0.000, 0.00%
14 0.9519
↘0.000, 0.01%
15 0.9673
↘0.015, 1.62%
16 0.9628
↗0.005, 0.47%
17 0.9692
↘0.006, 0.67%
18 0.9702
↘0.001, 0.11%
19 0.9733
↘0.003, 0.32%
20 0.9732
↗0.000, 0.00%
21 0.9732
↗0.000, 0.01%
22 0.9734
↘0.000, 0.03%
23 0.9746
↘0.001, 0.12%
24 0.9728
↗0.002, 0.19%
25 0.9706
↗0.002, 0.22%
26 0.9729
↘0.002, 0.23%
27 0.9729
↗0.000, 0.00%
28 0.9726
↗0.000, 0.03%
29 0.9666
↗0.006, 0.62%
30 0.9665
↗0.000, 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(“2013-04-01”),0.960,0.96],[new Date(“2013-04-02”),0.957,0.96],[new Date(“2013-04-03”),0.956,0.96],[new Date(“2013-04-04”),0.959,0.96],[new Date(“2013-04-05”),0.960,0.96],[new Date(“2013-04-06”),0.961,0.96],[new Date(“2013-04-07”),0.963,0.96],[new Date(“2013-04-08”),0.960,0.96],[new Date(“2013-04-09”),0.954,0.95],[new Date(“2013-04-10”),0.949,0.95],[new Date(“2013-04-11”),0.949,0.95],[new Date(“2013-04-12”),0.952,0.95],[new Date(“2013-04-13”),0.952,0.95],[new Date(“2013-04-14”),0.952,0.95],[new Date(“2013-04-15”),0.967,0.97],[new Date(“2013-04-16”),0.963,0.96],[new Date(“2013-04-17”),0.969,0.97],[new Date(“2013-04-18”),0.970,0.97],[new Date(“2013-04-19”),0.973,0.97],[new Date(“2013-04-20”),0.973,0.97],[new Date(“2013-04-21”),0.973,0.97],[new Date(“2013-04-22”),0.973,0.97],[new Date(“2013-04-23”),0.975,0.97],[new Date(“2013-04-24”),0.973,0.97],[new Date(“2013-04-25”),0.971,0.97],[new Date(“2013-04-26”),0.973,0.97],[new Date(“2013-04-27”),0.973,0.97],[new Date(“2013-04-28”),0.973,0.97],[new Date(“2013-04-29”),0.967,0.97],[new Date(“2013-04-30″),0.966,0.97],]);var options = {
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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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title: ‘Date’
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vAxis: {
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‘colors’:[”]
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}
March, 2013
01 0.9799
02 0.9802
↘0.000, 0.04%
03 0.9804
↘0.000, 0.01%
04 0.9809
↘0.001, 0.05%
05 0.9755
↗0.005, 0.54%
06 0.9764
↘0.001, 0.09%
07 0.9735
↗0.003, 0.30%
08 0.9757
↘0.002, 0.22%
09 0.9765
↘0.001, 0.09%
10 0.9779
↘0.001, 0.14%
11 0.9748
↗0.003, 0.31%
12 0.9694
↗0.005, 0.56%
13 0.9715
↘0.002, 0.22%
14 0.9637
↗0.008, 0.80%
15 0.9616
↗0.002, 0.22%
16 0.9607
↗0.001, 0.09%
17 0.9626
↘0.002, 0.20%
18 0.9622
↗0.000, 0.04%
19 0.9644
↘0.002, 0.23%
20 0.9639
↗0.001, 0.06%
21 0.9598
↗0.004, 0.42%
22 0.9573
↗0.002, 0.26%
23 0.9573
→0.000, 0.00%
24 0.9573
↗0.000, 0.00%
25 0.9556
↗0.002, 0.18%
26 0.9543
↗0.001, 0.14%
27 0.9568
↘0.002, 0.26%
28 0.9599
↘0.003, 0.33%
29 0.9600
↘0.000, 0.01%
30 0.9600
↗0.000, 0.01%
31 0.9601
↘0.000, 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(“2013-03-01”),0.980,0.98],[new Date(“2013-03-02”),0.980,0.98],[new Date(“2013-03-03”),0.980,0.98],[new Date(“2013-03-04”),0.981,0.98],[new Date(“2013-03-05”),0.976,0.98],[new Date(“2013-03-06”),0.976,0.98],[new Date(“2013-03-07”),0.974,0.97],[new Date(“2013-03-08”),0.976,0.98],[new Date(“2013-03-09”),0.977,0.98],[new Date(“2013-03-10”),0.978,0.98],[new Date(“2013-03-11”),0.975,0.97],[new Date(“2013-03-12”),0.969,0.97],[new Date(“2013-03-13”),0.971,0.97],[new Date(“2013-03-14”),0.964,0.96],[new Date(“2013-03-15”),0.962,0.96],[new Date(“2013-03-16”),0.961,0.96],[new Date(“2013-03-17”),0.963,0.96],[new Date(“2013-03-18”),0.962,0.96],[new Date(“2013-03-19”),0.964,0.96],[new Date(“2013-03-20”),0.964,0.96],[new Date(“2013-03-21”),0.960,0.96],[new Date(“2013-03-22”),0.957,0.96],[new Date(“2013-03-23”),0.957,0.96],[new Date(“2013-03-24”),0.957,0.96],[new Date(“2013-03-25”),0.956,0.96],[new Date(“2013-03-26”),0.954,0.95],[new Date(“2013-03-27”),0.957,0.96],[new Date(“2013-03-28”),0.960,0.96],[new Date(“2013-03-29”),0.960,0.96],[new Date(“2013-03-30”),0.960,0.96],[new Date(“2013-03-31″),0.960,0.96],]);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(“2013-03-01”),0.980,0.98],[new Date(“2013-03-02”),0.980,0.98],[new Date(“2013-03-03”),0.980,0.98],[new Date(“2013-03-04”),0.981,0.98],[new Date(“2013-03-05”),0.976,0.98],[new Date(“2013-03-06”),0.976,0.98],[new Date(“2013-03-07”),0.974,0.97],[new Date(“2013-03-08”),0.976,0.98],[new Date(“2013-03-09”),0.977,0.98],[new Date(“2013-03-10”),0.978,0.98],[new Date(“2013-03-11”),0.975,0.97],[new Date(“2013-03-12”),0.969,0.97],[new Date(“2013-03-13”),0.971,0.97],[new Date(“2013-03-14”),0.964,0.96],[new Date(“2013-03-15”),0.962,0.96],[new Date(“2013-03-16”),0.961,0.96],[new Date(“2013-03-17”),0.963,0.96],[new Date(“2013-03-18”),0.962,0.96],[new Date(“2013-03-19”),0.964,0.96],[new Date(“2013-03-20”),0.964,0.96],[new Date(“2013-03-21”),0.960,0.96],[new Date(“2013-03-22”),0.957,0.96],[new Date(“2013-03-23”),0.957,0.96],[new Date(“2013-03-24”),0.957,0.96],[new Date(“2013-03-25”),0.956,0.96],[new Date(“2013-03-26”),0.954,0.95],[new Date(“2013-03-27”),0.957,0.96],[new Date(“2013-03-28”),0.960,0.96],[new Date(“2013-03-29”),0.960,0.96],[new Date(“2013-03-30”),0.960,0.96],[new Date(“2013-03-31″),0.960,0.96],]);var options = {
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February, 2013
01 0.9613
02 0.9612
↗0.000, 0.02%
03 0.9601
↗0.001, 0.11%
04 0.9584
↗0.002, 0.18%
05 0.9615
↘0.003, 0.33%
06 0.9694
↘0.008, 0.82%
07 0.9710
↘0.002, 0.17%
08 0.9688
↗0.002, 0.23%
09 0.9692
↘0.000, 0.05%
10 0.9694
↘0.000, 0.02%
11 0.9745
↘0.005, 0.53%
12 0.9716
↗0.003, 0.30%
13 0.9650
↗0.007, 0.67%
14 0.9649
↗0.000, 0.01%
15 0.9693
↘0.004, 0.45%
16 0.9693
→0.000, 0.00%
17 0.9715
↘0.002, 0.23%
18 0.9691
↗0.002, 0.25%
19 0.9661
↗0.003, 0.31%
20 0.9749
↘0.009, 0.91%
21 0.9739
↗0.001, 0.10%
22 0.9693
↗0.005, 0.47%
23 0.9691
↗0.000, 0.02%
24 0.9704
↘0.001, 0.13%
25 0.9735
↘0.003, 0.32%
26 0.9767
↘0.003, 0.33%
27 0.9785
↘0.002, 0.18%
28 0.9777
↗0.001, 0.08%
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(“2013-02-01”),0.961,0.96],[new Date(“2013-02-02”),0.961,0.96],[new Date(“2013-02-03”),0.960,0.96],[new Date(“2013-02-04”),0.958,0.96],[new Date(“2013-02-05”),0.962,0.96],[new Date(“2013-02-06”),0.969,0.97],[new Date(“2013-02-07”),0.971,0.97],[new Date(“2013-02-08”),0.969,0.97],[new Date(“2013-02-09”),0.969,0.97],[new Date(“2013-02-10”),0.969,0.97],[new Date(“2013-02-11”),0.975,0.97],[new Date(“2013-02-12”),0.972,0.97],[new Date(“2013-02-13”),0.965,0.97],[new Date(“2013-02-14”),0.965,0.96],[new Date(“2013-02-15”),0.969,0.97],[new Date(“2013-02-16”),0.969,0.97],[new Date(“2013-02-17”),0.971,0.97],[new Date(“2013-02-18”),0.969,0.97],[new Date(“2013-02-19”),0.966,0.97],[new Date(“2013-02-20”),0.975,0.97],[new Date(“2013-02-21”),0.974,0.97],[new Date(“2013-02-22”),0.969,0.97],[new Date(“2013-02-23”),0.969,0.97],[new Date(“2013-02-24”),0.970,0.97],[new Date(“2013-02-25”),0.973,0.97],[new Date(“2013-02-26”),0.977,0.98],[new Date(“2013-02-27”),0.978,0.98],[new Date(“2013-02-28″),0.978,0.98],]);var options = {
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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January, 2013
01 0.9639
02 0.9524
↗0.011, 1.19%
03 0.9549
↘0.003, 0.26%
04 0.9539
↗0.001, 0.11%
05 0.9539
→0.000, 0.00%
06 0.9531
↗0.001, 0.07%
07 0.9519
↗0.001, 0.13%
08 0.9521
↘0.000, 0.01%
09 0.9517
↗0.000, 0.04%
10 0.9442
↗0.008, 0.79%
11 0.9482
↘0.004, 0.42%
12 0.9483
↘0.000, 0.00%
13 0.9482
↗0.000, 0.01%
14 0.9470
↗0.001, 0.12%
15 0.9469
↗0.000, 0.01%
16 0.9470
↘0.000, 0.01%
17 0.9484
↘0.001, 0.14%
18 0.9518
↘0.003, 0.37%
19 0.9517
↗0.000, 0.02%
20 0.9518
↘0.000, 0.01%
21 0.9509
↗0.001, 0.09%
22 0.9463
↗0.005, 0.48%
23 0.9484
↘0.002, 0.22%
24 0.9559
↘0.007, 0.79%
25 0.9593
↘0.003, 0.35%
26 0.9596
↘0.000, 0.04%
27 0.9599
↘0.000, 0.03%
28 0.9611
↘0.001, 0.12%
29 0.9558
↗0.005, 0.55%
30 0.9601
↘0.004, 0.45%
31 0.9589
↗0.001, 0.12%
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