Usage Statistics for archive.ics.uci.edu

Summary Period: June 2016
Generated 01-Jul-2016 06:20 PDT

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

Monthly Statistics for June 2016
Total Hits 7291079
Total Files 6354990
Total Pages 1303260
Total Visits 216498
Total KBytes 199990211388
Total Unique Sites 134939
Total Unique URLs 8904
Total Unique Referrers 11210
Total Unique Usernames 1
Total Unique User Agents 11222
. Avg Max
Hits per Hour 10126 50888
Hits per Day 243035 516992
Files per Day 211833 320057
Pages per Day 43442 75860
Sites per Day 4497 9910
Visits per Day 7216 10007
KBytes per Day 6666340380 157287028256
Hits by Response Code
Code 200 - OK 87.16% 6354990
Code 206 - Partial Content 4.41% 321262
Code 301 - Moved Permanently 0.27% 19802
Code 302 - Found 0.04% 2677
Code 304 - Not Modified 2.28% 166574
Code 400 - Bad Request 0.00% 146
Code 403 - Forbidden 0.43% 31106
Code 404 - Not Found 5.37% 391777
Code 405 - Method Not Allowed 0.03% 2433
Code 406 - Not Acceptable 0.00% 8
Code 416 - Requested Range Not Satisfiable 0.00% 150
Code 500 - Internal Server Error 0.00% 154

Daily usage for June 2016

Daily Statistics for June 2016
Day Hits Files Pages Visits Sites KBytes
1 229683 3.15% 208532 3.28% 35025 2.69% 6928 3.20% 7129 5.28% 713231307 0.36%
2 163871 2.25% 120519 1.90% 37524 2.88% 7563 3.49% 7584 5.62% 1118554710 0.56%
3 276658 3.79% 249444 3.93% 44845 3.44% 8477 3.92% 8634 6.40% 1506300615 0.75%
4 223316 3.06% 199680 3.14% 41723 3.20% 6939 3.21% 6973 5.17% 317995591 0.16%
5 272935 3.74% 248826 3.92% 53789 4.13% 8305 3.84% 8346 6.19% 518616895 0.26%
6 343325 4.71% 311813 4.91% 62958 4.83% 10007 4.62% 9910 7.34% 2195593154 1.10%
7 316849 4.35% 286326 4.51% 54489 4.18% 9223 4.26% 9816 7.27% 4604931755 2.30%
8 275352 3.78% 251169 3.95% 44100 3.38% 7701 3.56% 7840 5.81% 6966302358 3.48%
9 246485 3.38% 229198 3.61% 34995 2.69% 6342 2.93% 6483 4.80% 1142248525 0.57%
10 275257 3.78% 254515 4.00% 50385 3.87% 7918 3.66% 8154 6.04% 330969502 0.17%
11 224787 3.08% 204054 3.21% 45324 3.48% 6925 3.20% 7119 5.28% 363365784 0.18%
12 282681 3.88% 258708 4.07% 75805 5.82% 7616 3.52% 8100 6.00% 503758294 0.25%
13 348022 4.77% 320057 5.04% 75860 5.82% 9959 4.60% 9804 7.27% 552693102 0.28%
14 331231 4.54% 303334 4.77% 75169 5.77% 9847 4.55% 9608 7.12% 726282871 0.36%
15 283404 3.89% 256416 4.03% 45997 3.53% 9418 4.35% 9439 7.00% 469827091 0.23%
16 292596 4.01% 264560 4.16% 48216 3.70% 9356 4.32% 9438 6.99% 454255038 0.23%
17 225297 3.09% 200099 3.15% 54806 4.21% 7285 3.36% 7477 5.54% 1297202161 0.65%
18 67274 0.92% 56560 0.89% 13126 1.01% 2919 1.35% 3664 2.72% 98926090 0.05%
19 143366 1.97% 125124 1.97% 25120 1.93% 4691 2.17% 4976 3.69% 304446859 0.15%
20 322276 4.42% 275910 4.34% 56320 4.32% 9703 4.48% 9396 6.96% 7115178571 3.56%
21 62248 0.85% 54282 0.85% 11018 0.85% 1942 0.90% 2243 1.66% 1962900705 0.98%
22 139249 1.91% 126884 2.00% 23423 1.80% 4410 2.04% 4830 3.58% 203071220 0.10%
23 67762 0.93% 61732 0.97% 10398 0.80% 1998 0.92% 2336 1.73% 677830242 0.34%
24 179367 2.46% 158214 2.49% 31136 2.39% 5780 2.67% 6091 4.51% 3166460537 1.58%
25 181302 2.49% 161357 2.54% 33285 2.55% 5716 2.64% 6000 4.45% 330703589 0.17%
26 213447 2.93% 190836 3.00% 40307 3.09% 6869 3.17% 7113 5.27% 650418317 0.33%
27 276484 3.79% 247921 3.90% 42069 3.23% 8478 3.92% 8605 6.38% 1571523180 0.79%
28 516992 7.09% 271525 4.27% 51806 3.98% 9114 4.21% 8742 6.48% 157287028256 78.65%
29 270331 3.71% 242647 3.82% 44912 3.45% 8308 3.84% 8410 6.23% 473226961 0.24%
30 239232 3.28% 214748 3.38% 39330 3.02% 7930 3.66% 8032 5.95% 2366368108 1.18%

Hourly usage for June 2016

Hourly Statistics for June 2016
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 13185 395567 5.43% 11771 353148 5.56% 2353 70590 5.42% 115554274 3466628223 1.73%
1 14165 424955 5.83% 11698 350950 5.52% 2278 68359 5.25% 958813909 28764417269 14.38%
2 12921 387659 5.32% 11033 331013 5.21% 2066 61996 4.76% 537593830 16127814908 8.06%
3 11652 349563 4.79% 9421 282633 4.45% 1819 54593 4.19% 892363317 26770899508 13.39%
4 11579 347385 4.76% 9369 281074 4.42% 1954 58623 4.50% 857093583 25712807480 12.86%
5 12769 383085 5.25% 10419 312570 4.92% 2149 64493 4.95% 864934887 25948046596 12.97%
6 13315 399464 5.48% 11006 330183 5.20% 2110 63323 4.86% 870863374 26125901232 13.06%
7 12992 389761 5.35% 10721 321633 5.06% 2108 63254 4.85% 840247562 25207426849 12.60%
8 10919 327584 4.49% 9691 290757 4.58% 1865 55968 4.29% 154869012 4646070367 2.32%
9 9313 279397 3.83% 8360 250828 3.95% 1627 48814 3.75% 53124229 1593726866 0.80%
10 9565 286975 3.94% 8561 256835 4.04% 1786 53608 4.11% 36677399 1100321982 0.55%
11 9702 291075 3.99% 8778 263359 4.14% 1764 52921 4.06% 25737467 772124009 0.39%
12 8246 247403 3.39% 7472 224172 3.53% 1591 47748 3.66% 8120686 243620567 0.12%
13 7824 234747 3.22% 7107 213234 3.36% 1541 46244 3.55% 7946768 238403032 0.12%
14 7633 229001 3.14% 6980 209427 3.30% 1528 45862 3.52% 8450621 253518628 0.13%
15 6512 195364 2.68% 6030 180908 2.85% 1387 41612 3.19% 7462273 223868198 0.11%
16 6447 193434 2.65% 5947 178430 2.81% 1779 53391 4.10% 11869318 356079537 0.18%
17 6899 206994 2.84% 6201 186055 2.93% 1353 40595 3.11% 19265110 577953304 0.29%
18 8528 255866 3.51% 7597 227927 3.59% 1561 46837 3.59% 61528208 1845846232 0.92%
19 10083 302512 4.15% 8964 268947 4.23% 1860 55829 4.28% 42497498 1274924928 0.64%
20 9114 273446 3.75% 8183 245513 3.86% 1784 53525 4.11% 53207285 1596218555 0.80%
21 8591 257735 3.53% 7732 231965 3.65% 1506 45209 3.47% 59552168 1786565036 0.89%
22 9487 284633 3.90% 8415 252477 3.97% 1670 50109 3.84% 76271541 2288146240 1.14%
23 11582 347474 4.77% 10365 310952 4.89% 1991 59757 4.59% 102296061 3068881842 1.53%

Top 100 of 8904 Total URLs
# Hits KBytes URL
1 346182 4.75% 31327430 0.02% /ml/datasets.html
2 183985 2.52% 138636028430 69.32% /ml/machine-learning-databases/00347/all_train.csv.gz
3 165755 2.27% 634056183 0.32% /ml/machine-learning-databases/adult/adult.data
4 75913 1.04% 1393590 0.00% /ml/
5 67704 0.93% 298922 0.00% /ml/machine-learning-databases/iris/iris.data
6 56541 0.78% 711017 0.00% /ml/datasets.html/datasets/datasets/datasets.html
7 24372 0.33% 1936 0.00% /
8 17749 0.24% 183274 0.00% /ml/datasets/Madelon
9 17585 0.24% 1212333 0.00% /ml/datasets/Iris
10 17243 0.24% 265771 0.00% /ml/datasets.html/datasets.html
11 13912 0.19% 905106 0.00% /ml/machine-learning-databases/
12 11082 0.15% 433249 0.00% /ml/datasets/Adult
13 10659 0.15% 113896 0.00% /ml/datasets/Gisette
14 9490 0.13% 18916305075 9.46% /ml/machine-learning-databases/00251/WTD_upload.zip
15 8956 0.12% 13990 0.00% /ml/machine-learning-databases/iris/
16 7945 0.11% 81968 0.00% /ml/machine-learning-databases/wine/wine.data
17 7883 0.11% 434528924 0.22% /ml/machine-learning-databases/00361/data1.zip
18 7687 0.11% 143292 0.00% /ml//datasets.html
19 7600 0.10% 169851 0.00% /ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data
20 7003 0.10% 243072 0.00% /ml/datasets/Wine
21 6796 0.09% 58300 0.00% /ml/datasets/Wine+Quality
22 6642 0.09% 11658 0.00% /ml/machine-learning-databases/adult/
23 6396 0.09% 334483 0.00% /ml/datasets/Heart+Disease
24 6284 0.09% 123224 0.00% /ml/datasets/Car+Evaluation
25 6182 0.08% 67743 0.00% /ml/datasets/Bank+Marketing
26 5981 0.08% 14595 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
27 5782 0.08% 7404058 0.00% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
28 5659 0.08% 57956 0.00% /ml/datasets/Air+Quality
29 5647 0.08% 59899 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
30 5643 0.08% 1917894724 0.96% /ml/machine-learning-databases/00344/Activity recognition exp.zip
31 5476 0.08% 43213 0.00% /ml/datasets/Skin+Segmentation
32 5391 0.07% 6777929350 3.39% /ml/machine-learning-databases/00269/dir_data.tar
33 5386 0.07% 75301448 0.04% /ml/machine-learning-databases/00359/NewsAggregatorDataset.zip
34 5253 0.07% 145800 0.00% /ml/datasets/Abalone
35 5170 0.07% 54876 0.00% /ml/datasets/STUDENT+ALCOHOL+CONSUMPTION
36 5105 0.07% 48781 0.00% /ml/datasets/default+of+credit+card+clients
37 5082 0.07% 157770 0.00% /ml/datasets/Housing
38 5011 0.07% 194145 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
39 4922 0.07% 389285 0.00% /ml/machine-learning-databases/wine-quality/winequality-red.csv
40 4262 0.06% 502791 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
41 4019 0.06% 5431 0.00% /ml/machine-learning-databases/wine/
42 3922 0.05% 46117934 0.02% /ml/machine-learning-databases/00352/Online Retail.xlsx
43 3889 0.05% 63612 0.00% /ml/datasets/Statlog+(German+Credit+Data)
44 3843 0.05% 125651936 0.06% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
45 3801 0.05% 107986 0.00% /ml/datasets/Pima+Indians+Diabetes
46 3743 0.05% 5157 0.00% /ml/machine-learning-databases/wine-quality/
47 3741 0.05% 16457 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
48 3724 0.05% 10721 0.00% /ml/machine-learning-databases/iris/iris.names
49 3714 0.05% 3096956 0.00% /ml/machine-learning-databases/00360/AirQualityUCI.zip
50 3704 0.05% 70101 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
51 3701 0.05% 15765 0.00% /ml/machine-learning-databases/heart-disease/
52 3603 0.05% 33060 0.00% /ml/datasets/Poker+Hand
53 3528 0.05% 39208 0.00% /ml/datasets/Student+Performance
54 3497 0.05% 4783 0.00% /ml/machine-learning-databases/car/
55 3460 0.05% 29473 0.00% /ml/datasets/Online+Retail
56 3275 0.04% 785431 0.00% /ml/machine-learning-databases/wine-quality/winequality-white.csv
57 3266 0.04% 123976 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
58 3265 0.04% 4737127564 2.37% /ml/machine-learning-databases/00280/HIGGS.csv.gz
59 3239 0.04% 200095122 0.10% /ml/machine-learning-databases/00256/data.zip
60 3235 0.04% 31781 0.00% /ml/datasets/Forest+Fires
61 3229 0.04% 5481578 0.00% /ml/machine-learning-databases/adult/adult.test
62 3185 0.04% 149277 0.00% /ml/machine-learning-databases/housing/housing.data
63 3149 0.04% 75318 0.00% /ml/datasets.html/datasets/datasets.html
64 3079 0.04% 15331 0.00% /ml/machine-learning-databases/adult/adult.names
65 3007 0.04% 522874 0.00% /ml/machine-learning-databases/abalone/abalone.data
66 2937 0.04% 125777 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/wpbc.data
67 2865 0.04% 45421 0.00% /ml/datasets/Auto+MPG
68 2861 0.04% 11171071 0.01% /ml/machine-learning-databases/00350/default of credit card clients.xls
69 2828 0.04% 2710 0.00% /ml/machine-learning-databases/00192/
70 2804 0.04% 872155389 0.44% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
71 2736 0.04% 33122 0.00% /ml/datasets/Spambase
72 2704 0.04% 183972 0.00% /ml/datasets/Breast+Cancer
73 2700 0.04% 1255449 0.00% /ml/machine-learning-databases/00222/bank.zip
74 2692 0.04% 3696 0.00% /ml/machine-learning-databases/abalone/
75 2683 0.04% 332937262 0.17% /ml/machine-learning-databases/url/url_svmlight.tar.gz
76 2676 0.04% 103424 0.00% /ml/datasets/Mushroom
77 2661 0.04% 25833 0.00% /ml/datasets/Internet+Advertisements
78 2571 0.04% 26798 0.00% /ml/datasets/Credit+Approval
79 2557 0.04% 3062 0.00% /ml/machine-learning-databases/00222/
80 2556 0.04% 2522 0.00% /ml/machine-learning-databases/00352/
81 2537 0.03% 21144 0.00% /ml/datasets/Wholesale+customers
82 2521 0.03% 23174 0.00% /ml/datasets/Twin+gas+sensor+arrays
83 2520 0.03% 106501 0.00% /ml/datasets/Diabetes
84 2513 0.03% 1043617802 0.52% /ml/machine-learning-databases/00347/all_test.csv.gz
85 2508 0.03% 1197579182 0.60% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
86 2496 0.03% 4181961611 2.09% /ml/machine-learning-databases/00340/data.zip
87 2459 0.03% 2290898344 1.15% /ml/machine-learning-databases/00347/1000_train.csv.gz
88 2455 0.03% 1073961856 0.54% /ml/machine-learning-databases/00347/1000_test.csv.gz
89 2441 0.03% 120434 0.00% /ml/machine-learning-databases/car/car.data
90 2409 0.03% 18451 0.00% /ml/datasets/Occupancy+Detection+
91 2383 0.03% 198753 0.00% /ml/machine-learning-databases/undocumented/connectionist-bench/sonar/sonar.all-data
92 2381 0.03% 28967 0.00% /ml/datasets/Automobile
93 2378 0.03% 2370 0.00% /ml/machine-learning-databases/00360/
94 2369 0.03% 24190 0.00% /ml/datasets/Bike+Sharing+Dataset
95 2362 0.03% 29523 0.00% /ml/datasets/Online+News+Popularity
96 2298 0.03% 3532 0.00% /ml/machine-learning-databases/statlog/german/
97 2269 0.03% 315533981 0.16% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
98 2223 0.03% 2193 0.00% /ml/machine-learning-databases/00356/
99 2207 0.03% 2204 0.00% /ml/machine-learning-databases/00350/
100 2182 0.03% 18107 0.00% /ml/datasets/GPS+Trajectories

Top 100 of 8904 Total URLs By KBytes
# Hits KBytes URL
1 183985 2.52% 138636028430 69.32% /ml/machine-learning-databases/00347/all_train.csv.gz
2 9490 0.13% 18916305075 9.46% /ml/machine-learning-databases/00251/WTD_upload.zip
3 5391 0.07% 6777929350 3.39% /ml/machine-learning-databases/00269/dir_data.tar
4 1438 0.02% 5352021590 2.68% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
5 3265 0.04% 4737127564 2.37% /ml/machine-learning-databases/00280/HIGGS.csv.gz
6 2496 0.03% 4181961611 2.09% /ml/machine-learning-databases/00340/data.zip
7 2459 0.03% 2290898344 1.15% /ml/machine-learning-databases/00347/1000_train.csv.gz
8 2169 0.03% 2045386747 1.02% /ml/machine-learning-databases/00347/not1000_train.csv.gz
9 5643 0.08% 1917894724 0.96% /ml/machine-learning-databases/00344/Activity recognition exp.zip
10 1260 0.02% 1705989817 0.85% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
11 2508 0.03% 1197579182 0.60% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
12 1991 0.03% 1104968463 0.55% /ml/machine-learning-databases/00279/SUSY.csv.gz
13 2455 0.03% 1073961856 0.54% /ml/machine-learning-databases/00347/1000_test.csv.gz
14 1558 0.02% 1050131387 0.53% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
15 2513 0.03% 1043617802 0.52% /ml/machine-learning-databases/00347/all_test.csv.gz
16 2115 0.03% 991253855 0.50% /ml/machine-learning-databases/00347/not1000_test.csv.gz
17 2804 0.04% 872155389 0.44% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
18 165755 2.27% 634056183 0.32% /ml/machine-learning-databases/adult/adult.data
19 1662 0.02% 562487508 0.28% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
20 1204 0.02% 555625471 0.28% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
21 1929 0.03% 505085074 0.25% /ml/machine-learning-databases/00339/train.csv.zip
22 7883 0.11% 434528924 0.22% /ml/machine-learning-databases/00361/data1.zip
23 2683 0.04% 332937262 0.17% /ml/machine-learning-databases/url/url_svmlight.tar.gz
24 2269 0.03% 315533981 0.16% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
25 1234 0.02% 257675918 0.13% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
26 1259 0.02% 227056168 0.11% /ml/machine-learning-databases/00322/data.zip
27 798 0.01% 202291415 0.10% /ml/machine-learning-databases/00318/NoisyOffice.zip
28 3239 0.04% 200095122 0.10% /ml/machine-learning-databases/00256/data.zip
29 845 0.01% 181010606 0.09% /ml/machine-learning-databases/00306/dataset_segmentation.rar
30 3843 0.05% 125651936 0.06% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
31 957 0.01% 113351258 0.06% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
32 1078 0.01% 106204804 0.05% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
33 861 0.01% 90253632 0.05% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
34 5386 0.07% 75301448 0.04% /ml/machine-learning-databases/00359/NewsAggregatorDataset.zip
35 1791 0.02% 74118584 0.04% /ml/machine-learning-databases/00288/leaf.zip
36 105 0.00% 48828136 0.02% /ml/databases/census1990/USCensus1990raw.data.txt
37 3922 0.05% 46117934 0.02% /ml/machine-learning-databases/00352/Online Retail.xlsx
38 1642 0.02% 40301345 0.02% /ml/machine-learning-databases/00210/donation.zip
39 1371 0.02% 40079807 0.02% /ml/machine-learning-databases/00326/TV_News_Channel_Commercial_Detection_Dataset.zip
40 110 0.00% 37410168 0.02% /ml//machine-learning-databases/00231/PAMAP2_Dataset.zip
41 1700 0.02% 36123001 0.02% /ml/machine-learning-databases/00344/Still exp.zip
42 1959 0.03% 36001357 0.02% /ml/machine-learning-databases/poker/poker-hand-testing.data
43 744 0.01% 35584839 0.02% /ml/machine-learning-databases/00204/PEMS-SF.zip
44 346182 4.75% 31327430 0.02% /ml/datasets.html
45 120 0.00% 27042775 0.01% /ml/machine-learning-databases/p53/p53_new_2012.zip
46 697 0.01% 24326273 0.01% /ml/machine-learning-databases/nsfabs-mld/Part1.zip
47 1026 0.01% 24070456 0.01% /ml/machine-learning-databases/00349/OULAD.zip
48 663 0.01% 24001702 0.01% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
49 612 0.01% 23867611 0.01% /ml/machine-learning-databases/00341/HAPT Data Set.zip
50 246 0.00% 22813246 0.01% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
51 1770 0.02% 21850745 0.01% /ml/machine-learning-databases/00235/household_power_consumption.zip
52 1102 0.02% 21633973 0.01% /ml/machine-learning-databases/kddcup98-mld/epsilon_mirror/cup98lrn.txt.Z
53 797 0.01% 21290729 0.01% /ml/machine-learning-databases/00328/ghg_data.zip
54 970 0.01% 16776414 0.01% /ml/machine-learning-databases/00241/100 leaves plant species.zip
55 472 0.01% 16351184 0.01% /ml/machine-learning-databases/00239/corpus.zip
56 1375 0.02% 16068750 0.01% /ml/machine-learning-databases/00246/3D_spatial_network.txt
57 798 0.01% 15609812 0.01% /ml/machine-learning-databases/kddcup98-mld/epsilon_mirror/cup98val.zip
58 236 0.00% 15403950 0.01% /ml/machine-learning-databases/volcanoes-mld/volcanoes.tar.gz
59 577 0.01% 14882922 0.01% /ml/machine-learning-databases/nsfabs-mld/Part3.zip
60 426 0.01% 14780263 0.01% /ml/machine-learning-databases/nsfabs-mld/Part2.zip
61 794 0.01% 14638869 0.01% /ml/machine-learning-databases/00248/regression.tar.gz
62 273 0.00% 13077080 0.01% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
63 345 0.00% 12395392 0.01% /ml/databases/nsfabs/Part1.zip
64 741 0.01% 11852893 0.01% /ml/machine-learning-databases/kddcup98-mld/epsilon_mirror/cup98lrn.zip
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Top 10 of 2594 Total Exit Pages
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Top 10 of 11210 Total Referrers
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Top 100 of 1437 Total Search Strings
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Top 1 of 1 Total Usernames
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Top 100 of 11222 Total User Agents
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3 231732 3.18% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.84 Safari/537.36
4 228727 3.14% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
5 217630 2.98% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
6 197624 2.71% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
7 191232 2.62% Java/1.8.0_60
8 145239 1.99% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
9 118217 1.62% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0
10 117897 1.62% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/601.6.17 (KHTML, like Gecko) Version/9.1.1 Safari/601.6.17
11 115601 1.59% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
12 110297 1.51% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
13 104605 1.43% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0
14 97299 1.33% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
15 93878 1.29% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.84 Safari/537.36
16 92757 1.27% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/13.105
17 90177 1.24% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:46.0) Gecko/20100101 Firefox/46.0
18 84449 1.16% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
19 67482 0.93% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:47.0) Gecko/20100101 Firefox/47.0
20 65647 0.90% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:46.0) Gecko/20100101 Firefox/46.0
21 61043 0.84% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:46.0) Gecko/20100101 Firefox/46.0
22 60254 0.83% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.84 Safari/537.36
23 59567 0.82% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.84 Safari/537.36
24 59267 0.81% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
25 59006 0.81% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
26 55507 0.76% Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)
27 55426 0.76% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
28 55022 0.75% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
29 54120 0.74% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
30 46111 0.63% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
31 45491 0.62% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.84 Safari/537.36
32 44714 0.61% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
33 43992 0.60% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
34 41845 0.57% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
35 41694 0.57% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0
36 37911 0.52% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.84 Safari/537.36
37 35384 0.49% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.79 Safari/537.36
38 34625 0.47% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.104 Safari/537.36
39 33403 0.46% Mozilla/5.0 (Linux; Android 6.0.1; Nexus 5X Build/MMB29P) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.96 Mobile S
40 33262 0.46% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
41 33156 0.45% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.79 Safari/537.36
42 32279 0.44% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.152 Safari/537.36
43 30079 0.41% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/601.5.17 (KHTML, like Gecko) Version/9.1 Safari/601.5.17
44 29870 0.41% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36 SE 2.X MetaSr 1
45 29704 0.41% Mozilla/5.0 (Windows NT 6.1; rv:47.0) Gecko/20100101 Firefox/47.0
46 29488 0.40% CCBot/2.0 (http://commoncrawl.org/faq/)
47 29429 0.40% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko
48 28693 0.39% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.84 Safari/537.36
49 27243 0.37% Mozilla/5.0 (iPhone; CPU iPhone OS 9_3_2 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Version/9.0 Mobile/13F69 Saf
50 26749 0.37% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:46.0) Gecko/20100101 Firefox/46.0
51 26494 0.36% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
52 26077 0.36% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
53 22999 0.32% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
54 22965 0.31% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/50.0.2661.102 Chrome/50.0.2661.102 Saf
55 22665 0.31% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
56 22333 0.31% Safari/11601.6.17 CFNetwork/760.5.1 Darwin/15.5.0 (x86_64)
57 21931 0.30% betaBot
58 21703 0.30% Mozilla/4.0 (compatible;)
59 21270 0.29% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.79 Safari/537.36
60 21261 0.29% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/601.6.17 (KHTML, like Gecko) Version/9.1.1 Safari/601.6.17
61 20746 0.28% Mozilla/5.0 (Windows NT 6.1; rv:46.0) Gecko/20100101 Firefox/46.0
62 20379 0.28% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 YaBrowser/16.6.0.8149 Yowser/
63 19899 0.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.84 Safari/537.36
64 19802 0.27% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.154 Safari/537.36 LBBROWSER
65 19661 0.27% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
66 18936 0.26% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
67 18808 0.26% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0
68 18805 0.26% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.63 Safari/537.36
69 18725 0.26% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
70 17780 0.24% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
71 17756 0.24% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:45.0) Gecko/20100101 Firefox/45.0
72 17396 0.24% Python-urllib/2.7
73 16994 0.23% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.84 Safari/537.36
74 16960 0.23% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.11; rv:47.0) Gecko/20100101 Firefox/47.0
75 16058 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.11; rv:46.0) Gecko/20100101 Firefox/46.0
76 16020 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/601.4.4 (KHTML, like Gecko) Version/9.0.3 Safari/601.4.4
77 15239 0.21% 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
78 14995 0.21% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.84 Safari/537.36
79 14742 0.20% WebZIP/7.1 (http://www.spidersoft.com)
80 14191 0.19% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
81 14064 0.19% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)
82 13998 0.19% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.84 Safari/537.36
83 13988 0.19% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:44.0) Gecko/20100101 Firefox/44.0
84 13837 0.19% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
85 13467 0.18% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Embedded Web Browser from: http://bsalsa.com/; .NET CLR 2.0.50727; .
86 13426 0.18% Mozilla/5.0 (Windows; U; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; BIDUBrowser 7.6)
87 13154 0.18% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
88 13020 0.18% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.79 Safari/537.36
89 12909 0.18% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
90 12661 0.17% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
91 12235 0.17% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
92 11550 0.16% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; 360space)
93 11530 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
94 11360 0.16% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36 SE 2.X MetaSr
95 11231 0.15% 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
96 11203 0.15% Mozilla/5.0 (X11; Linux x86_64; rv:45.0) Gecko/20100101 Firefox/45.0
97 11200 0.15% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:38.0) Gecko/20100101 Firefox/38.0
98 11122 0.15% Python-urllib/3.5
99 10550 0.14% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.94 Safari/537.36
100 10444 0.14% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.79 Safari/537.36

Usage by Country for June 2016

Top 30 of 58 Total Countries
# Hits Files KBytes Country
1 7047074 96.65% 6446084 101.43% 199852365389 99.93% Unresolved/Unknown
2 186788 2.56% 177840 2.80% 67538456 0.03% Commercial (com)
3 6031 0.08% 5607 0.09% 4203367 0.00% Educational (edu)
4 5276 0.07% 4844 0.08% 6477815 0.00% Japan
5 4349 0.06% 4112 0.06% 9008642 0.00% India
6 3974 0.05% 3440 0.05% 22925508 0.01% Network (net)
7 3757 0.05% 3314 0.05% 505926 0.00% Germany
8 3651 0.05% 3490 0.05% 3550951 0.00% France
9 3575 0.05% 3193 0.05% 10465629 0.01% China
10 2233 0.03% 2048 0.03% 4687277 0.00% Brazil
11 2206 0.03% 2100 0.03% 346012 0.00% Non-Profit (org)
12 1993 0.03% 1744 0.03% 924581 0.00% United Kingdom
13 1958 0.03% 1744 0.03% 792301 0.00% Poland
14 1914 0.03% 1861 0.03% 50049 0.00% Malaysia
15 1772 0.02% 1703 0.03% 75193 0.00% Ireland
16 1483 0.02% 1409 0.02% 41551 0.00% US Government (gov)
17 1443 0.02% 1301 0.02% 112711 0.00% Italy
18 1182 0.02% 1132 0.02% 669148 0.00% Turkey
19 911 0.01% 884 0.01% 18779 0.00% Pakistan
20 820 0.01% 779 0.01% 2739260 0.00% Hong Kong
21 744 0.01% 724 0.01% 8408 0.00% Mexico
22 697 0.01% 657 0.01% 75699 0.00% Serbia
23 658 0.01% 486 0.01% 272311 0.00% Cuba
24 655 0.01% 482 0.01% 9081 0.00% Spain
25 641 0.01% 611 0.01% 112675 0.00% Switzerland
26 618 0.01% 586 0.01% 315473 0.00% South Africa
27 591 0.01% 470 0.01% 9628 0.00% Australia
28 548 0.01% 525 0.01% 3520 0.00% US Military (mil)
29 377 0.01% 362 0.01% 281633 0.00% Sri Lanka
30 357 0.00% 337 0.01% 1012639 0.00% British Indian Ocean Territory

Generated by Webalizer Version 2.21