Usage Statistics for archive.ics.uci.edu

Summary Period: November 2013
Generated 01-Dec-2013 06:06 PST

[Daily Statistics] [Hourly Statistics] [URLs] [Entry] [Exit] [Sites] [Referrers] [Search] [Agents] [Countries]

Monthly Statistics for November 2013
Total Hits 5467747
Total Files 4860915
Total Pages 1130698
Total Visits 129992
Total KBytes 49334279797
Total Unique Sites 87037
Total Unique URLs 7638
Total Unique Referrers 6909
Total Unique User Agents 7340
. Avg Max
Hits per Hour 7594 24907
Hits per Day 182258 300286
Files per Day 162030 272784
Pages per Day 37689 109103
Sites per Day 2901 6351
Visits per Day 4333 6184
KBytes per Day 1644475993 11226023674
Hits by Response Code
Code 200 - OK 88.90% 4860915
Code 206 - Partial Content 2.34% 127791
Code 301 - Moved Permanently 0.34% 18521
Code 302 - Found 0.04% 2171
Code 304 - Not Modified 3.99% 218023
Code 400 - Bad Request 0.00% 21
Code 403 - Forbidden 0.00% 131
Code 404 - Not Found 4.31% 235911
Code 405 - Method Not Allowed 0.08% 4170
Code 406 - Not Acceptable 0.00% 1
Code 412 - Precondition Failed 0.00% 13
Code 416 - Requested Range Not Satisfiable 0.00% 79

Daily usage for November 2013

Daily Statistics for November 2013
Day Hits Files Pages Visits Sites KBytes
1 141025 2.58% 122870 2.53% 27760 2.46% 3561 2.74% 3962 4.55% 922115938 1.87%
2 112275 2.05% 96758 1.99% 21060 1.86% 3057 2.35% 3464 3.98% 4245326156 8.61%
3 150534 2.75% 133715 2.75% 30816 2.73% 3972 3.06% 4275 4.91% 892917297 1.81%
4 217977 3.99% 194298 4.00% 38332 3.39% 5198 4.00% 5545 6.37% 913511212 1.85%
5 205311 3.75% 182302 3.75% 34712 3.07% 5026 3.87% 5181 5.95% 311429579 0.63%
6 210931 3.86% 188454 3.88% 36361 3.22% 5058 3.89% 5379 6.18% 213007240 0.43%
7 197443 3.61% 177209 3.65% 33564 2.97% 4777 3.67% 5234 6.01% 228717594 0.46%
8 155804 2.85% 143054 2.94% 31314 2.77% 4052 3.12% 4475 5.14% 227092972 0.46%
9 127395 2.33% 115454 2.38% 24866 2.20% 3482 2.68% 3930 4.52% 234675472 0.48%
10 183087 3.35% 162479 3.34% 50732 4.49% 4188 3.22% 4454 5.12% 326599770 0.66%
11 246328 4.51% 212301 4.37% 49652 4.39% 5146 3.96% 5361 6.16% 11226023674 22.76%
12 215684 3.94% 189235 3.89% 35883 3.17% 5103 3.93% 5465 6.28% 3343022933 6.78%
13 216660 3.96% 197362 4.06% 45187 4.00% 5013 3.86% 5382 6.18% 329134415 0.67%
14 161550 2.95% 142514 2.93% 24623 2.18% 3841 2.95% 4301 4.94% 262102511 0.53%
15 149587 2.74% 134704 2.77% 23956 2.12% 3801 2.92% 4313 4.96% 2091099535 4.24%
16 176357 3.23% 165113 3.40% 75457 6.67% 3418 2.63% 3679 4.23% 133543023 0.27%
17 241680 4.42% 226018 4.65% 100536 8.89% 4338 3.34% 4573 5.25% 159495194 0.32%
18 234940 4.30% 204968 4.22% 37882 3.35% 5337 4.11% 5592 6.42% 401141017 0.81%
19 220279 4.03% 192506 3.96% 34597 3.06% 4887 3.76% 4874 5.60% 767288339 1.56%
20 33786 0.62% 29795 0.61% 5033 0.45% 751 0.58% 939 1.08% 45372932 0.09%
21 91238 1.67% 84004 1.73% 15405 1.36% 2412 1.86% 2778 3.19% 94606282 0.19%
22 166201 3.04% 149727 3.08% 26847 2.37% 4338 3.34% 4634 5.32% 227244299 0.46%
23 140412 2.57% 123898 2.55% 23253 2.06% 3723 2.86% 3905 4.49% 1829870431 3.71%
24 195619 3.58% 164592 3.39% 33157 2.93% 4570 3.52% 4821 5.54% 298785780 0.61%
25 235296 4.30% 213979 4.40% 41490 3.67% 6151 4.73% 6351 7.30% 240393665 0.49%
26 300286 5.49% 272784 5.61% 109103 9.65% 6184 4.76% 6291 7.23% 692547465 1.40%
27 218613 4.00% 189571 3.90% 33739 2.98% 5628 4.33% 5813 6.68% 1590278789 3.22%
28 197382 3.61% 171212 3.52% 30281 2.68% 5133 3.95% 5236 6.02% 3558770029 7.21%
29 162024 2.96% 141766 2.92% 28569 2.53% 4406 3.39% 4891 5.62% 9219561976 18.69%
30 162043 2.96% 138273 2.84% 26531 2.35% 4080 3.14% 4159 4.78% 4308604278 8.73%

Hourly usage for November 2013

Hourly Statistics for November 2013
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 8614 258423 4.73% 7376 221292 4.55% 1502 45069 3.99% 118425022 3552750671 7.20%
1 8527 255828 4.68% 7435 223070 4.59% 1482 44470 3.93% 97544494 2926334806 5.93%
2 7880 236423 4.32% 6913 207413 4.27% 1426 42787 3.78% 66557461 1996723838 4.05%
3 8240 247216 4.52% 7282 218475 4.49% 1496 44906 3.97% 101028701 3030861026 6.14%
4 8246 247380 4.52% 7195 215870 4.44% 1590 47727 4.22% 87024562 2610736856 5.29%
5 9005 270153 4.94% 7804 234124 4.82% 1640 49214 4.35% 72254126 2167623781 4.39%
6 8326 249784 4.57% 7319 219574 4.52% 1490 44724 3.96% 67349046 2020471374 4.10%
7 8587 257610 4.71% 7808 234252 4.82% 1708 51249 4.53% 46860652 1405819549 2.85%
8 8344 250334 4.58% 7649 229481 4.72% 1727 51824 4.58% 120331721 3609951631 7.32%
9 8026 240783 4.40% 7425 222777 4.58% 1716 51497 4.55% 196937130 5908113896 11.98%
10 7824 234724 4.29% 7160 214817 4.42% 1758 52769 4.67% 8413495 252404864 0.51%
11 7481 224457 4.11% 6835 205068 4.22% 1721 51658 4.57% 11248799 337463958 0.68%
12 7095 212876 3.89% 6653 199608 4.11% 1637 49129 4.35% 10576123 317283699 0.64%
13 6462 193876 3.55% 6061 181848 3.74% 1458 43763 3.87% 12403339 372100159 0.75%
14 5973 179214 3.28% 5644 169337 3.48% 1355 40667 3.60% 7707391 231221729 0.47%
15 5732 171987 3.15% 5301 159050 3.27% 1388 41667 3.69% 41103509 1233105276 2.50%
16 5573 167202 3.06% 5066 152002 3.13% 1378 41367 3.66% 40318566 1209556970 2.45%
17 6504 195137 3.57% 5720 171608 3.53% 1467 44015 3.89% 55231700 1656951002 3.36%
18 7312 219369 4.01% 6390 191722 3.94% 1558 46766 4.14% 51880561 1556416827 3.15%
19 7224 216725 3.96% 6339 190180 3.91% 1622 48676 4.30% 64302676 1929080274 3.91%
20 6685 200577 3.67% 5926 177798 3.66% 1624 48743 4.31% 64172650 1925179485 3.90%
21 7071 212150 3.88% 6199 185982 3.83% 1526 45803 4.05% 69338483 2080154480 4.22%
22 8554 256638 4.69% 7116 213498 4.39% 1720 51618 4.57% 98531327 2955939819 5.99%
23 8962 268881 4.92% 7402 222069 4.57% 1686 50590 4.47% 134934461 4048033823 8.21%

Top 100 of 7638 Total URLs
# Hits KBytes URL
1 442904 8.10% 19565325 0.04% /ml/datasets.html
2 58485 1.07% 1092611 0.00% /ml/
3 42524 0.78% 533948 0.00% /ml/datasets.html/datasets.html
4 23765 0.43% 32284089754 65.44% /ml/machine-learning-databases/00269/dir_data.tar
5 20083 0.37% 283952 0.00% /ml//datasets.html
6 13544 0.25% 523223832 1.06% /ml/machine-learning-databases/00209/Schierz_Bioassay.zip
7 12178 0.22% 41741726 0.08% /ml/machine-learning-databases/adult/adult.data
8 11120 0.20% 806080 0.00% /ml/datasets/Iris
9 10019 0.18% 497485 0.00% /ml/machine-learning-databases/
10 8839 0.16% 356999 0.00% /ml/datasets/Adult
11 8627 0.16% 37824 0.00% /ml/machine-learning-databases/iris/iris.data
12 7187 0.13% 543 0.00% /
13 7041 0.13% 577994964 1.17% /ml/machine-learning-databases/url/url_svmlight.tar.gz
14 6940 0.13% 320191869 0.65% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
15 6841 0.13% 239829 0.00% /ml/datasets/Wine
16 6687 0.12% 132312 0.00% /ml/datasets/Car+Evaluation
17 6217 0.11% 9691 0.00% /ml/machine-learning-databases/iris/
18 6085 0.11% 452218754 0.92% /ml/machine-learning-databases/00256/data.zip
19 5426 0.10% 91632526 0.19% /ml/machine-learning-databases/00235/household_power_consumption.zip
20 5353 0.10% 9368 0.00% /ml/machine-learning-databases/adult/
21 5257 0.10% 45769 0.00% /ml/datasets/Wine+Quality
22 5083 0.09% 198814 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
23 5081 0.09% 12430 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
24 4883 0.09% 258901 0.00% /ml/datasets/Heart+Disease
25 4844 0.09% 50132 0.00% /ml/datasets/Bank+Marketing
26 4619 0.08% 40607 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
27 4472 0.08% 125863 0.00% /ml/datasets/Abalone
28 4371 0.08% 312637347 0.63% /ml/machine-learning-databases/00268/Data.zip
29 4256 0.08% 32475 0.00% /ml/datasets/YouTube+Multiview+Video+Games+Dataset
30 3996 0.07% 5428 0.00% /ml/machine-learning-databases/car/
31 3973 0.07% 5375 0.00% /ml/machine-learning-databases/wine/
32 3967 0.07% 40863 0.00% /ml/machine-learning-databases/wine/wine.data
33 3934 0.07% 54699212 0.11% /ml/machine-learning-databases/00245/dataset_fog_release.zip
34 3621 0.07% 33434 0.00% /ml/datasets/Poker+Hand
35 3188 0.06% 31512 0.00% /ml/datasets/Forest+Fires
36 2972 0.05% 48049 0.00% /ml/datasets.html/datasets/datasets/datasets.html
37 2968 0.05% 348009 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
38 2929 0.05% 1057591 0.00% /ml/machine-learning-databases/00222/bank.zip
39 2909 0.05% 3825 0.00% /ml/machine-learning-databases/wine-quality/
40 2868 0.05% 12216 0.00% /ml/machine-learning-databases/heart-disease/
41 2837 0.05% 33593 0.00% /ml/datasets/Spambase
42 2829 0.05% 90386 0.00% /ml/datasets/Housing
43 2801 0.05% 27515 0.00% /ml/datasets/Internet+Advertisements
44 2785 0.05% 49903 0.00% /ml/datasets.html/datasets/datasets.html
45 2771 0.05% 56750499 0.12% /ml/machine-learning-databases/00241/100 leaves plant species.zip
46 2753 0.05% 7841 0.00% /ml/machine-learning-databases/iris/iris.names
47 2698 0.05% 43860 0.00% /ml/datasets/Statlog+(German+Credit+Data)
48 2686 0.05% 130104 0.00% /ml/machine-learning-databases/car/car.data
49 2684 0.05% 43249 0.00% /ml/datasets/Auto+MPG
50 2669 0.05% 43563 0.00% /ml/datasets/Yeast
51 2567 0.05% 11342444199 22.99% /ml/machine-learning-databases/00251/WTD_upload.zip
52 2481 0.05% 99604 0.00% /ml/datasets/Mushroom
53 2466 0.05% 18323 0.00% /ml/datasets/Activities+of+Daily+Living+(ADLs)+Recognition+Using+Binary+Sensors
54 2454 0.04% 26709 0.00% /ml/datasets/Daily+and+Sports+Activities
55 2443 0.04% 30213 0.00% /ml/datasets/Automobile
56 2402 0.04% 11960 0.00% /ml/machine-learning-databases/adult/adult.names
57 2316 0.04% 89335 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
58 2295 0.04% 3140 0.00% /ml/machine-learning-databases/abalone/
59 2290 0.04% 17412893 0.04% /ml/machine-learning-databases/20newsgroups-mld/20_newsgroups.tar.gz
60 2281 0.04% 9938807 0.02% /ml/machine-learning-databases/00270/driftdataset.zip
61 2275 0.04% 41883 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
62 2239 0.04% 154561 0.00% /ml/datasets/Breast+Cancer
63 2228 0.04% 2057 0.00% /ml/machine-learning-databases/00192/
64 2212 0.04% 2156 0.00% /ml/machine-learning-databases/00222/
65 2195 0.04% 2847644 0.01% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
66 2183 0.04% 3488721 0.01% /ml/machine-learning-databases/adult/adult.test
67 2181 0.04% 155300 0.00% /ml/machine-learning-databases/wine-quality/winequality-red.csv
68 2165 0.04% 61835 0.00% /ml/datasets/Pima+Indians+Diabetes
69 2135 0.04% 18241 0.00% /ml/datasets/seeds
70 2113 0.04% 2110 0.00% /ml/machine-learning-databases/00240/
71 2096 0.04% 41518 0.00% /ml/datasets/Letter+Recognition
72 2092 0.04% 6002 0.00% /ml/machine-learning-databases/wine/wine.names
73 2078 0.04% 210163793 0.43% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
74 2069 0.04% 21627 0.00% /ml/datasets/Credit+Approval
75 2057 0.04% 18067 0.00% /ml/datasets/User+Knowledge+Modeling
76 2019 0.04% 86681 0.00% /ml/datasets/Glass+Identification
77 2010 0.04% 330998 0.00% /ml/machine-learning-databases/abalone/abalone.data
78 1980 0.04% 84608 0.00% /ml/datasets/Diabetes
79 1939 0.04% 16544 0.00% /ml/datasets/Energy+efficiency
80 1929 0.04% 5643 0.00% /ml/machine-learning-databases/car/car.names
81 1888 0.03% 138421699 0.28% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
82 1875 0.03% 1829 0.00% /ml/machine-learning-databases/00269/
83 1817 0.03% 32425797 0.07% /ml/machine-learning-databases/poker/poker-hand-testing.data
84 1757 0.03% 27429003 0.06% /ml/machine-learning-databases/eeg-mld/SMNI_CMI_TRAIN.tar.gz
85 1736 0.03% 2484 0.00% /ml/machine-learning-databases/poker/
86 1721 0.03% 566830315 1.15% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
87 1701 0.03% 15169 0.00% /ml/datasets/BLOGGER
88 1700 0.03% 18174 0.00% /ml/datasets/Turkiye+Student+Evaluation
89 1696 0.03% 2495 0.00% /ml/machine-learning-databases/statlog/german/
90 1691 0.03% 24968281 0.05% /ml/machine-learning-databases/00248/regression.tar.gz
91 1680 0.03% 31355 0.00% /ml/datasets/Zoo
92 1669 0.03% 13829 0.00% /ml/datasets/Bag+of+Words
93 1666 0.03% 13355 0.00% /ml/datasets/Fertility
94 1659 0.03% 7229 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
95 1642 0.03% 16062 0.00% /ml/datasets/Computer+Hardware
96 1621 0.03% 351752 0.00% /ml/machine-learning-databases/wine-quality/winequality-white.csv
97 1613 0.03% 2495 0.00% /ml/machine-learning-databases/auto-mpg/
98 1602 0.03% 11358112 0.02% /ml/machine-learning-databases/covtype/covtype.data.gz
99 1581 0.03% 2132 0.00% /ml/machine-learning-databases/housing/
100 1580 0.03% 14768 0.00% /ml/datasets/Artificial+Characters

Top 100 of 7638 Total URLs By KBytes
# Hits KBytes URL
1 23765 0.43% 32284089754 65.44% /ml/machine-learning-databases/00269/dir_data.tar
2 2567 0.05% 11342444199 22.99% /ml/machine-learning-databases/00251/WTD_upload.zip
3 721 0.01% 649241790 1.32% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
4 7041 0.13% 577994964 1.17% /ml/machine-learning-databases/url/url_svmlight.tar.gz
5 1721 0.03% 566830315 1.15% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
6 13544 0.25% 523223832 1.06% /ml/machine-learning-databases/00209/Schierz_Bioassay.zip
7 6085 0.11% 452218754 0.92% /ml/machine-learning-databases/00256/data.zip
8 6940 0.13% 320191869 0.65% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
9 4371 0.08% 312637347 0.63% /ml/machine-learning-databases/00268/Data.zip
10 2078 0.04% 210163793 0.43% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
11 520 0.01% 155881821 0.32% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
12 1047 0.02% 149205205 0.30% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
13 306 0.01% 147207108 0.30% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
14 999 0.02% 147192386 0.30% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
15 1888 0.03% 138421699 0.28% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
16 1557 0.03% 131067789 0.27% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
17 693 0.01% 129343885 0.26% /ml/machine-learning-databases/p53/p53_new_2012.zip
18 117 0.00% 108205835 0.22% /ml/machine-learning-databases/bag-of-words//docword.pubmed.txt.gz
19 275 0.01% 99636294 0.20% /ml/databases/eeg/eeg_full.tar
20 5426 0.10% 91632526 0.19% /ml/machine-learning-databases/00235/household_power_consumption.zip
21 2771 0.05% 56750499 0.12% /ml/machine-learning-databases/00241/100 leaves plant species.zip
22 3934 0.07% 54699212 0.11% /ml/machine-learning-databases/00245/dataset_fog_release.zip
23 1401 0.03% 46205873 0.09% /ml/machine-learning-databases/00239/corpus.zip
24 12178 0.22% 41741726 0.08% /ml/machine-learning-databases/adult/adult.data
25 598 0.01% 38187913 0.08% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
26 358 0.01% 33210130 0.07% /ml/machine-learning-databases/p53/p53_old_2010.zip
27 1817 0.03% 32425797 0.07% /ml/machine-learning-databases/poker/poker-hand-testing.data
28 1757 0.03% 27429003 0.06% /ml/machine-learning-databases/eeg-mld/SMNI_CMI_TRAIN.tar.gz
29 1691 0.03% 24968281 0.05% /ml/machine-learning-databases/00248/regression.tar.gz
30 410 0.01% 20143997 0.04% /ml/machine-learning-databases/volcanoes-mld/volcanoes.tar.gz
31 442904 8.10% 19565325 0.04% /ml/datasets.html
32 2290 0.04% 17412893 0.04% /ml/machine-learning-databases/20newsgroups-mld/20_newsgroups.tar.gz
33 370 0.01% 16554285 0.03% /ml/machine-learning-databases/00204/PEMS-SF.zip
34 28 0.00% 15613613 0.03% /ml/databases/census1990/USCensus1990raw.data.txt
35 1448 0.03% 14070745 0.03% /ml/machine-learning-databases/arcene/ARCENE/arcene_test.data
36 458 0.01% 13342124 0.03% /ml/machine-learning-databases/00210/donation.zip
37 173 0.00% 13327971 0.03% /ml/machine-learning-databases/00258/MultiLingualReuters.tar.bz2
38 297 0.01% 12774676 0.03% /ml/machine-learning-databases/00205/OpinRankDataset.zip
39 879 0.02% 11671310 0.02% /ml/machine-learning-databases/00246/3D_spatial_network.txt
40 1602 0.03% 11358112 0.02% /ml/machine-learning-databases/covtype/covtype.data.gz
41 1465 0.03% 11287695 0.02% /ml/databases/20newsgroups/20_newsgroups.tar.gz
42 2281 0.04% 9938807 0.02% /ml/machine-learning-databases/00270/driftdataset.zip
43 185 0.00% 9816089 0.02% /ml/databases/volcanoes/volcanoes.tar.gz
44 1302 0.02% 8964520 0.02% /ml/machine-learning-databases/internet_ads/ad.data
45 1299 0.02% 8836736 0.02% /ml/machine-learning-databases/00260/nysk.xml.zip
46 775 0.01% 8511628 0.02% /ml/machine-learning-databases/00196/ConfLongDemo_JSI.txt
47 608 0.01% 7889529 0.02% /ml/machine-learning-databases/00195/Train_Arabic_Digit.txt
48 139 0.00% 6896376 0.01% /ml/machine-learning-databases/gisette/GISETTE/gisette_test.data
49 43 0.00% 6895964 0.01% /ml/databases/census1990/USCensus1990.data.txt
50 873 0.02% 6186798 0.01% /ml/machine-learning-databases/00216/amzn-anon-access-samples.tgz
51 190 0.00% 5584708 0.01% /ml/machine-learning-databases/nsfabs-mld/Part1.zip
52 1175 0.02% 5493097 0.01% /ml/machine-learning-databases/census-income-mld/census.tar.gz
53 128 0.00% 5422033 0.01% /ml/machine-learning-databases/gisette/GISETTE/gisette_train.data
54 312 0.01% 5385429 0.01% /ml/databases/kddcup98/epsilon_mirror/cup98val.zip
55 689 0.01% 5284556 0.01% /ml/machine-learning-databases/kddcup99-mld/kddcup.data.gz
56 781 0.01% 5200831 0.01% /ml/machine-learning-databases/00213/EMG Physical Action Data Set.rar
57 1560 0.03% 5044079 0.01% /ml/machine-learning-databases/reuters21578-mld/reuters21578.tar.gz
58 878 0.02% 4282331 0.01% /ml/machine-learning-databases/character-trajectories/mixoutALL_shifted.mat
59 620 0.01% 4163140 0.01% /ml/machine-learning-databases/00214/Vicon Physical Action Data Set.rar
60 2183 0.04% 3488721 0.01% /ml/machine-learning-databases/adult/adult.test
61 183 0.00% 3431975 0.01% /ml/databases/eeg/SMNI_CMI_TRAIN.tar.gz
62 446 0.01% 3381068 0.01% /ml/databases/kddcup99/kddcup.data.gz
63 950 0.02% 3337523 0.01% /ml/machine-learning-databases/isolet/isolet1+2+3+4.data.Z
64 215 0.00% 3234934 0.01% /ml/machine-learning-databases/kddcup98-mld/epsilon_mirror/cup98lrn.zip
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Top 10 of 1858 Total Exit Pages
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Top 10 of 6909 Total Referrers
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6 27476 0.50% http://archive.ics.uci.edu/ml/machine-learning-databases/
7 20298 0.37% http://archive.ics.uci.edu/ml/machine-learning-databases/iris/
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84 24 0.16% isolet site:archive.ics.uci.edu/ml
85 24 0.16% seeds
86 23 0.16% census site:archive.ics.uci.edu/ml
87 23 0.16% http://archive.ics.uci.edu/ml/datasets/breast cancer wisconsin %28diagnostic%29
88 23 0.16% reuters site:archive.ics.uci.edu/ml
89 23 0.16% svm site:archive.ics.uci.edu/ml
90 22 0.15% car
91 22 0.15% digit site:archive.ics.uci.edu/ml
92 22 0.15% dna site:archive.ics.uci.edu/ml
93 22 0.15% hierarchical clustering site:archive.ics.uci.edu/ml
94 22 0.15% pendigits site:archive.ics.uci.edu/ml
95 22 0.15% poker site:archive.ics.uci.edu/ml
96 22 0.15% usps site:archive.ics.uci.edu/ml
97 21 0.14% education site:archive.ics.uci.edu/ml
98 21 0.14% letter recognition site:archive.ics.uci.edu/ml
99 20 0.14% asscoiation rule
100 20 0.14% bank marketing site:archive.ics.uci.edu/ml

Top 100 of 7340 Total User Agents
# Hits User Agent
1 438237 8.01% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36
2 388970 7.11% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36
3 237813 4.35% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:25.0) Gecko/20100101 Firefox/25.0
4 213897 3.91% Wget/1.12 (linux-gnu)
5 168233 3.08% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36
6 163291 2.99% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36
7 114035 2.09% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
8 101799 1.86% Mozilla/5.0 (Windows NT 6.1; rv:25.0) Gecko/20100101 Firefox/25.0
9 101343 1.85% Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)
10 100855 1.84% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36
11 96120 1.76% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36
12 84454 1.54% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9) AppleWebKit/537.71 (KHTML, like Gecko) Version/7.0 Safari/537.71
13 77432 1.42% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
14 65767 1.20% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:24.0) Gecko/20100101 Firefox/24.0
15 58689 1.07% Mozilla/5.0 (Windows NT 5.1; rv:25.0) Gecko/20100101 Firefox/25.0
16 56863 1.04% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36
17 55721 1.02% Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0)
18 55243 1.01% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:25.0) Gecko/20100101 Firefox/25.0
19 53292 0.97% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36
20 51425 0.94% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36
21 49849 0.91% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36
22 47809 0.87% Mozilla/5.0 (Windows NT 6.2; WOW64; rv:25.0) Gecko/20100101 Firefox/25.0
23 45840 0.84% Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)
24 44880 0.82% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36
25 43591 0.80% Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; Trident/6.0)
26 43531 0.80% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36
27 43275 0.79% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.3
28 37565 0.69% Mozilla/5.0 (iPhone; CPU iPhone OS 6_0 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Version/6.0 Mobile/10A5376e Safa
29 36726 0.67% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1
30 29307 0.54% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CL
31 29184 0.53% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.114 Safari/537.36
32 26030 0.48% Mozilla/5.0 (Windows NT 6.1; rv:24.0) Gecko/20100101 Firefox/24.0
33 24884 0.46% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1
34 24553 0.45% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36
35 23443 0.43% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1
36 21940 0.40% Mozilla/4.5 (compatible; HTTrack 3.0x; Windows 98)
37 21638 0.40% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/6.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CL
38 21561 0.39% Mozilla/5.0 (Windows NT 5.1; rv:24.0) Gecko/20100101 Firefox/24.0
39 21038 0.38% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:25.0) Gecko/20100101 Firefox/25.0
40 20904 0.38% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.48 Safari/537.36
41 20350 0.37% Mozilla/5.0 Gecko/20100115 Firefox/3.6
42 19174 0.35% Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:25.0) Gecko/20100101 Firefox/25.0
43 18979 0.35% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_5) AppleWebKit/536.30.1 (KHTML, like Gecko) Version/6.0.5 Safari/536.30.1
44 18343 0.34% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_5) AppleWebKit/537.71 (KHTML, like Gecko) Version/6.1 Safari/537.71
45 18047 0.33% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36
46 16734 0.31% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; rv:25.0) Gecko/20100101 Firefox/25.0
47 16687 0.31% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36
48 16367 0.30% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; BESAGENT; IPMS/E8E7827D-14EAE1A9DDD; Mozilla/4.0 (compatible;
49 16037 0.29% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36
50 15936 0.29% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; Trident/6.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.3
51 15566 0.28% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.3072
52 15565 0.28% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CL
53 15359 0.28% Mozilla/5.0 (Windows NT 6.2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36
54 15031 0.27% Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.2; WOW64; Trident/6.0)
55 14368 0.26% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:23.0) Gecko/20100101 Firefox/23.0
56 13834 0.25% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
57 13810 0.25% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:24.0) Gecko/20100101 Firefox/24.0
58 13756 0.25% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; 360space)
59 13321 0.24% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/30.0.1599.114 Chrome/30.0.1599.114 Saf
60 13243 0.24% Mozilla/5.0 (Windows NT 6.2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36
61 13099 0.24% Mozilla/5.0 (Windows NT 6.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36
62 12607 0.23% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.76 Safari/537.36
63 12410 0.23% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CL
64 12303 0.23% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_8) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36
65 12117 0.22% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.31 (KHTML, like Gecko) Chrome/26.0.1410.64 Safari/537.31
66 11929 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.8; rv:25.0) Gecko/20100101 Firefox/25.0
67 11671 0.21% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36
68 11638 0.21% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.69 Safari/537.36
69 11247 0.21% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0)
70 11017 0.20% Mozilla/4.0 (compatible;)
71 10994 0.20% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.31 (KHTML, like Gecko) Chrome/26.0.1410.64 Safari/537.31
72 10953 0.20% Mozilla/5.0 (Windows NT 6.2; WOW64; rv:24.0) Gecko/20100101 Firefox/24.0
73 10944 0.20% Mozilla/5.0 (X11; Linux x86_64; rv:25.0) Gecko/20100101 Firefox/25.0
74 10829 0.20% Mozilla/5.0
75 10635 0.19% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/28.0.1500.71 Chrome/28.0.1500.71 Safar
76 10403 0.19% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_5) AppleWebKit/536.30.1 (KHTML, like Gecko) Version/6.0.5 Safari/536.30.1
77 10115 0.18% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_5_8) AppleWebKit/534.50.2 (KHTML, like Gecko) Version/5.0.6 Safari/533.22.3
78 10060 0.18% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:17.0) Gecko/20100101 Firefox/17.0
79 10051 0.18% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.3
80 9894 0.18% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_5) AppleWebKit/537.71 (KHTML, like Gecko) Version/6.1 Safari/537.71
81 9592 0.18% Mozilla/5.0 (Windows NT 6.0; rv:25.0) Gecko/20100101 Firefox/25.0
82 9371 0.17% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.31 (KHTML, like Gecko) Chrome/26.0.1410.64 Safari/537.31
83 9166 0.17% Mozilla/5.0 (compatible; MSIE 6.0; Windows NT 5.0)
84 9070 0.17% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.72 Safari/537.36
85 8969 0.16% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152
86 8944 0.16% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1312.57 Safari/537.17 SE 2.X MetaSr 1.0
87 8907 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_8) AppleWebKit/534.59.10 (KHTML, like Gecko) Version/5.1.9 Safari/534.59.10
88 8862 0.16% Mozilla/5.0 (Windows NT 6.1; rv:26.0) Gecko/20100101 Firefox/26.0
89 8403 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.48 Safari/537.36
90 8213 0.15% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.66 Safari/537.36
91 8167 0.15% Sogou web spider/4.0(+http://www.sogou.com/docs/help/webmasters.htm#07)
92 8096 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:25.0) Gecko/20100101 Firefox/25.0
93 7935 0.15% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.57 Safari/537.36
94 7920 0.14% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko
95 7708 0.14% Mozilla/5.0 (Windows NT 6.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36
96 7608 0.14% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_8) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36
97 7430 0.14% Wget/1.14 (linux-gnu)
98 7423 0.14% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1)
99 7317 0.13% Microsoft-WebDAV-MiniRedir/6.1.7601
100 7286 0.13% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.66 Safari/537.36

Usage by Country for November 2013

Top 30 of 69 Total Countries
# Hits Files KBytes Country
1 5177460 94.69% 4710661 96.91% 49053342333 99.43% Unresolved/Unknown
2 170324 3.12% 166091 3.42% 24794003 0.05% Commercial (com)
3 15971 0.29% 15082 0.31% 16330982 0.03% Educational (edu)
4 11580 0.21% 10900 0.22% 19899924 0.04% Singapore
5 10375 0.19% 9964 0.20% 7153699 0.01% Malaysia
6 10221 0.19% 9703 0.20% 4927302 0.01% India
7 6380 0.12% 6084 0.13% 313525 0.00% Poland
8 6155 0.11% 5651 0.12% 770507 0.00% Brazil
9 4801 0.09% 4550 0.09% 2050407 0.00% Indonesia
10 4712 0.09% 4333 0.09% 3217473 0.01% Network (net)
11 4539 0.08% 4378 0.09% 232301 0.00% Japan
12 3680 0.07% 3459 0.07% 2312737 0.00% Hong Kong
13 3578 0.07% 3439 0.07% 68369 0.00% Germany
14 3458 0.06% 2663 0.05% 3285144 0.01% Serbia
15 3205 0.06% 2800 0.06% 6095333 0.01% France
16 3078 0.06% 2845 0.06% 1345799 0.00% United Kingdom
17 2905 0.05% 2637 0.05% 3293150 0.01% Italy
18 2732 0.05% 2572 0.05% 1455325 0.00% Pakistan
19 1959 0.04% 1879 0.04% 277046 0.00% Chile
20 1473 0.03% 1323 0.03% 173615329 0.35% China
21 1390 0.03% 1260 0.03% 105624 0.00% Kazakhstan
22 1304 0.02% 1279 0.03% 6805 0.00% Spain
23 1176 0.02% 1126 0.02% 35406 0.00% Romania
24 1150 0.02% 1129 0.02% 12732 0.00% Colombia
25 1087 0.02% 1066 0.02% 32141 0.00% Switzerland
26 1081 0.02% 1029 0.02% 20915 0.00% Taiwan
27 1078 0.02% 1000 0.02% 52840 0.00% Mexico
28 970 0.02% 831 0.02% 5497361 0.01% Non-Profit (org)
29 833 0.02% 798 0.02% 11184 0.00% Turkey
30 795 0.01% 774 0.02% 359138 0.00% Belgium

Generated by Webalizer Version 2.21