Usage Statistics for archive.ics.uci.edu

Summary Period: January 2019
Generated 01-Feb-2019 06:50 PST

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

Monthly Statistics for January 2019
Total Hits 32744347
Total Files 16649116
Total Pages 4282615
Total Visits 823385
Total KBytes 25131901878
Total Unique Sites 418081
Total Unique URLs 17566
Total Unique Referrers 28496
Total Unique Usernames 4
Total Unique User Agents 19325
. Avg Max
Hits per Hour 44011 68954
Hits per Day 1056269 1283905
Files per Day 537068 664147
Pages per Day 138148 230941
Sites per Day 13486 26926
Visits per Day 26560 31050
KBytes per Day 810706512 2221225156
Hits by Response Code
Code 200 - OK 50.85% 16649116
Code 206 - Partial Content 0.94% 308306
Code 301 - Moved Permanently 0.09% 29641
Code 302 - Found 0.02% 7970
Code 304 - Not Modified 34.07% 11157521
Code 400 - Bad Request 0.00% 667
Code 403 - Forbidden 0.00% 70
Code 404 - Not Found 13.77% 4507678
Code 405 - Method Not Allowed 0.01% 1911
Code 406 - Not Acceptable 0.00% 6
Code 416 - Requested Range Not Satisfiable 0.00% 101
Code 500 - Internal Server Error 0.25% 81357
Code 501 - Not Implemented 0.00% 3

Daily usage for January 2019

Daily Statistics for January 2019
Day Hits Files Pages Visits Sites KBytes
1 981106 3.00% 402395 2.42% 114637 2.68% 21503 2.61% 18607 4.45% 523883277 2.08%
2 1134401 3.46% 527231 3.17% 132936 3.10% 26742 3.25% 23009 5.50% 1656123247 6.59%
3 1142490 3.49% 541688 3.25% 119810 2.80% 26831 3.26% 23154 5.54% 2221225156 8.84%
4 1045691 3.19% 456036 2.74% 108461 2.53% 24069 2.92% 21005 5.02% 1372941570 5.46%
5 950028 2.90% 372741 2.24% 103748 2.42% 21471 2.61% 17665 4.23% 605218149 2.41%
6 942980 2.88% 448359 2.69% 107042 2.50% 24026 2.92% 20095 4.81% 472771408 1.88%
7 1199375 3.66% 595397 3.58% 126342 2.95% 28616 3.48% 24675 5.90% 716158253 2.85%
8 1202677 3.67% 604401 3.63% 128118 2.99% 28631 3.48% 24561 5.87% 880611287 3.50%
9 1202605 3.67% 595194 3.57% 125157 2.92% 28680 3.48% 24893 5.95% 734676587 2.92%
10 1261900 3.85% 664147 3.99% 210349 4.91% 28224 3.43% 24558 5.87% 1110604871 4.42%
11 1040648 3.18% 451849 2.71% 104075 2.43% 24604 2.99% 21661 5.18% 783379310 3.12%
12 958088 2.93% 376484 2.26% 96135 2.24% 22081 2.68% 17780 4.25% 539394758 2.15%
13 1032917 3.15% 437258 2.63% 106036 2.48% 24783 3.01% 21133 5.05% 753676885 3.00%
14 1163374 3.55% 545801 3.28% 119816 2.80% 28338 3.44% 24905 5.96% 532328838 2.12%
15 1283905 3.92% 608265 3.65% 152163 3.55% 29000 3.52% 25631 6.13% 1540661456 6.13%
16 1265747 3.87% 598804 3.60% 137117 3.20% 28775 3.49% 25144 6.01% 673700585 2.68%
17 1180081 3.60% 576057 3.46% 131850 3.08% 28017 3.40% 24458 5.85% 611346173 2.43%
18 1066614 3.26% 480342 2.89% 133649 3.12% 24634 2.99% 21529 5.15% 643982053 2.56%
19 1022632 3.12% 438628 2.63% 145630 3.40% 22652 2.75% 18740 4.48% 693868670 2.76%
20 1081547 3.30% 486939 2.92% 124684 2.91% 25672 3.12% 21589 5.16% 490716885 1.95%
21 1197859 3.66% 592760 3.56% 145792 3.40% 29124 3.54% 25232 6.04% 735204250 2.93%
22 1240140 3.79% 634281 3.81% 155258 3.63% 30553 3.71% 26547 6.35% 818342109 3.26%
23 1256267 3.84% 655583 3.94% 159218 3.72% 29532 3.59% 26186 6.26% 758643955 3.02%
24 1232699 3.76% 632504 3.80% 196292 4.58% 28121 3.42% 24922 5.96% 607032148 2.42%
25 1091890 3.33% 501374 3.01% 146464 3.42% 24874 3.02% 21715 5.19% 539690107 2.15%
26 685929 2.09% 411416 2.47% 132438 3.09% 22148 2.69% 18277 4.37% 323833105 1.29%
27 628032 1.92% 476285 2.86% 127008 2.97% 24794 3.01% 20498 4.90% 525798248 2.09%
28 812727 2.48% 650294 3.91% 160467 3.75% 31050 3.77% 26926 6.44% 554367878 2.21%
29 793472 2.42% 632422 3.80% 132853 3.10% 29703 3.61% 26039 6.23% 672612954 2.68%
30 803022 2.45% 621978 3.74% 168129 3.93% 29513 3.58% 24992 5.98% 1613267941 6.42%
31 843504 2.58% 632203 3.80% 230941 5.39% 29955 3.64% 24433 5.84% 425839764 1.69%

Hourly usage for January 2019

Hourly Statistics for January 2019
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 49934 1547974 4.73% 27795 861674 5.18% 6116 189597 4.43% 70721273 2192359450 8.72%
1 49660 1539471 4.70% 27421 850059 5.11% 6350 196857 4.60% 54924390 1702656100 6.77%
2 48600 1506627 4.60% 26097 809012 4.86% 6293 195085 4.56% 51101498 1584146439 6.30%
3 46944 1455266 4.44% 24837 769972 4.62% 6122 189802 4.43% 41386830 1282991744 5.11%
4 47320 1466932 4.48% 25225 781997 4.70% 6217 192746 4.50% 36618259 1135166040 4.52%
5 48715 1510167 4.61% 26231 813180 4.88% 6085 188662 4.41% 51287367 1589908377 6.33%
6 49903 1547014 4.72% 27067 839099 5.04% 7235 224287 5.24% 38847322 1204266972 4.79%
7 48848 1514304 4.62% 26216 812723 4.88% 6308 195577 4.57% 27558300 854307299 3.40%
8 47470 1471585 4.49% 25378 786734 4.73% 6474 200701 4.69% 26012659 806392435 3.21%
9 45135 1399202 4.27% 22986 712590 4.28% 5709 177002 4.13% 22278101 690621119 2.75%
10 42896 1329797 4.06% 21285 659858 3.96% 5650 175160 4.09% 27346284 847734805 3.37%
11 41272 1279435 3.91% 19992 619780 3.72% 5207 161419 3.77% 25663377 795564689 3.17%
12 39931 1237863 3.78% 18976 588285 3.53% 5585 173142 4.04% 28931406 896873591 3.57%
13 37947 1176380 3.59% 17212 533579 3.20% 5055 156730 3.66% 20747666 643177659 2.56%
14 35718 1107264 3.38% 15316 474812 2.85% 4657 144384 3.37% 18085831 560660768 2.23%
15 33774 1047011 3.20% 13531 419473 2.52% 4207 130444 3.05% 14438009 447578266 1.78%
16 34667 1074680 3.28% 14153 438747 2.64% 4248 131714 3.08% 12757002 395467072 1.57%
17 38629 1197505 3.66% 17408 539653 3.24% 5103 158215 3.69% 29434758 912477503 3.63%
18 41015 1271469 3.88% 19595 607469 3.65% 5089 157766 3.68% 23362232 724229196 2.88%
19 42540 1318742 4.03% 20689 641362 3.85% 5322 165002 3.85% 31072142 963236398 3.83%
20 43265 1341227 4.10% 21911 679264 4.08% 5764 178706 4.17% 22675563 702942453 2.80%
21 45539 1411724 4.31% 24305 753485 4.53% 6371 197527 4.61% 26639083 825811571 3.29%
22 48804 1512929 4.62% 27214 843648 5.07% 6616 205111 4.79% 52798520 1636754108 6.51%
23 47734 1479779 4.52% 26214 812661 4.88% 6354 196979 4.60% 56018639 1736577824 6.91%

Top 100 of 17566 Total URLs
# Hits KBytes URL
1 9980867 30.48% 29861 0.00% /ml/machine-learning-databases/00422/wifi_localization.txt
2 1684202 5.14% 159538857 0.63% /ml/datasets.html
3 1075029 3.28% 25829602 0.10% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
4 465995 1.42% 5466613 0.02% /ml/
5 150781 0.46% 392855430 1.56% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
6 121060 0.37% 532663 0.00% /ml/machine-learning-databases/iris/iris.data
7 48896 0.15% 4313447 0.02% /ml/machine-learning-databases/
8 41765 0.13% 145840951 0.58% /ml/machine-learning-databases/adult/adult.data
9 41129 0.13% 430267 0.00% /ml/machine-learning-databases/wine/wine.data
10 38636 0.12% 2744066 0.01% /ml/datasets/Iris
11 36318 0.11% 2968737 0.01% /ml/machine-learning-databases/wine-quality/winequality-red.csv
12 34981 0.11% 54756 0.00% /ml/machine-learning-databases/iris/
13 33020 0.10% 1493414 0.01% /ml/machine-learning-databases/00267/data_banknote_authentication.txt
14 32005 0.10% 1267 0.00% /
15 29123 0.09% 7430207 0.03% /ml/machine-learning-databases/wine-quality/winequality-white.csv
16 27933 0.09% 404299 0.00% /ml/datasets.html/datasets.html
17 27853 0.09% 702781 0.00% /ml/machine-learning-databases/autos/imports-85.data
18 20413 0.06% 823577 0.00% /ml/datasets/Adult
19 19695 0.06% 987512 0.00% /ml/machine-learning-databases/car/car.data
20 19468 0.06% 1389011 0.01% /ml/datasets/iris
21 19458 0.06% 3304714875 13.15% /ml/machine-learning-databases/00280/HIGGS.csv.gz
22 19266 0.06% 47363 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
23 18386 0.06% 32308 0.00% /ml/machine-learning-databases/adult/
24 17723 0.05% 339973 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
25 17683 0.05% 152928 0.00% /ml/datasets/Wine+Quality
26 16282 0.05% 177048 0.00% /ml/datasets/Bank+Marketing
27 15939 0.05% 1911067 0.01% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
28 15850 0.05% 128679 0.00% /ml/datasets/simulated+falls+and+daily+living+activities+data+set
29 15798 0.05% 613568 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
30 14832 0.05% 291113 0.00% /ml/datasets/Car+Evaluation
31 14705 0.04% 432522 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
32 14664 0.04% 508673 0.00% /ml/datasets/Wine
33 14483 0.04% 750606 0.00% /ml/datasets/Heart+Disease
34 14091 0.04% 40913 0.00% /ml/machine-learning-databases/iris/iris.names
35 12949 0.04% 18207 0.00% /ml/machine-learning-databases/wine-quality/
36 12559 0.04% 17092 0.00% /ml/machine-learning-databases/car/
37 12321 0.04% 16659 0.00% /ml/machine-learning-databases/wine/
38 11956 0.04% 333218 0.00% /ml/datasets/Abalone
39 11843 0.04% 127391 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
40 11451 0.03% 209575348 0.83% /ml/machine-learning-databases/00246/3D_spatial_network.txt
41 11401 0.03% 220244 0.00% /ml//datasets.html
42 11224 0.03% 1946285687 7.74% /ml/machine-learning-databases/00269/dir_data.tar
43 11168 0.03% 47877 0.00% /ml/machine-learning-databases/heart-disease/
44 10827 0.03% 214767286 0.85% /ml/machine-learning-databases/00352/Online Retail.xlsx
45 9910 0.03% 95428 0.00% /ml/datasets/default+of+credit+card+clients
46 9452 0.03% 1708118 0.01% /ml/machine-learning-databases/abalone/abalone.data
47 9354 0.03% 445350 0.00% /ml/machine-learning-databases/housing/housing.data
48 9165 0.03% 16373469 0.07% /ml/machine-learning-databases/adult/adult.test
49 8766 0.03% 103258 0.00% /ml/datasets/Absenteeism+at+work
50 8432 0.03% 11623 0.00% /ml/machine-learning-databases/abalone/
51 8405 0.03% 92232 0.00% /ml/datasets/Student+Performance
52 8393 0.03% 10055 0.00% /ml/machine-learning-databases/00222/
53 8249 0.03% 85821 0.00% /ml/datasets/Bike+Sharing+Dataset
54 8241 0.03% 4463739 0.02% /ml/machine-learning-databases/optdigits/optdigits.tra
55 7450 0.02% 254944 0.00% /ml/machine-learning-databases/00312/dow_jones_index.zip
56 7390 0.02% 71810 0.00% /ml/datasets/Forest+Fires
57 7285 0.02% 36838 0.00% /ml/machine-learning-databases/adult/adult.names
58 7129 0.02% 31371 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
59 7054 0.02% 126294 0.00% /ml/machine-learning-databases/heart-disease/processed.cleveland.data
60 6705 0.02% 361804 0.00% /ml/machine-learning-databases/00000/
61 6553 0.02% 53269 0.00% /ml/datasets/Online+Retail
62 6421 0.02% 79229 0.00% /ml/datasets/Automobile
63 6403 0.02% 59138 0.00% /ml/datasets/Poker+Hand
64 6372 0.02% 101486 0.00% /ml/datasets/Auto+MPG
65 6330 0.02% 64979 0.00% /ml/datasets/Air+Quality
66 6159 0.02% 10950 0.00% /ml/machine-learning-databases/credit-screening/
67 6099 0.02% 2101587 0.01% /ml/machine-learning-databases/mushroom/agaricus-lepiota.data
68 5955 0.02% 403569 0.00% /ml/datasets/Breast+Cancer
69 5903 0.02% 2964551 0.01% /ml/machine-learning-databases/00222/bank.zip
70 5772 0.02% 72340 0.00% /ml/datasets/Online+News+Popularity
71 5648 0.02% 195038 0.00% /ml/datasets/wine
72 5604 0.02% 8978 0.00% /ml/machine-learning-databases/auto-mpg/
73 5483 0.02% 217925 0.00% /ml/datasets/Mushroom
74 5455 0.02% 128369 0.00% /ml/datasets/Census+Income
75 5437 0.02% 460641 0.00% /ml/machine-learning-databases/undocumented/connectionist-bench/sonar/sonar.all-data
76 5392 0.02% 140824 0.00% /ml/datasets.html/datasets/datasets.html
77 5381 0.02% 32579 0.00% /ml/machine-learning-databases/balance-scale/balance-scale.data
78 5375 0.02% 87315 0.00% /ml/datasets/Statlog+(German+Credit+Data)
79 5339 0.02% 196735 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
80 5235 0.02% 44539 0.00% /ml/datasets/seeds
81 5194 0.02% 3097644800 12.33% /ml/machine-learning-databases/00251/WTD_upload.zip
82 5176 0.02% 8132 0.00% /ml/machine-learning-databases/autos/
83 5174 0.02% 6345 0.00% /ml/machine-learning-databases/00240/
84 5160 0.02% 46083 0.00% /ml/datasets/Parkinson's+Disease+Classification
85 5106 0.02% 6109 0.00% /ml/machine-learning-databases/diabetes/
86 5045 0.02% 27581 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.names
87 5033 0.02% 364159460 1.45% /ml/machine-learning-databases/00480/Measurements_Upload_Smaller.zip
88 4946 0.02% 5895 0.00% /ml/machine-learning-databases/forest-fires/
89 4779 0.01% 488 0.00% /ml/machine-learning-databases/iris/Index
90 4761 0.01% 15173 0.00% /ml/machine-learning-databases/wine-quality/winequality.names
91 4743 0.01% 51191 0.00% /ml/datasets/bank+marketing
92 4717 0.01% 65830 0.00% /ml/datasets/2.4+GHZ+Indoor+Channel+Measurements
93 4695 0.01% 40048 0.00% /ml/datasets/Energy+efficiency
94 4583 0.01% 38825 0.00% /ml/datasets/Wholesale+customers
95 4569 0.01% 18048 0.00% /ml/datasets/Housing
96 4563 0.01% 34224 0.00% /ml/datasets/banknote+authentication
97 4534 0.01% 50588355 0.20% /ml/machine-learning-databases/00235/household_power_consumption.zip
98 4533 0.01% 13238 0.00% /ml/machine-learning-databases/wine/wine.names
99 4524 0.01% 37662 0.00% /ml/datasets/online+retail
100 4521 0.01% 237401 0.00% /ml/datasets/heart+Disease

Top 100 of 17566 Total URLs By KBytes
# Hits KBytes URL
1 142 0.00% 3939706606 15.68% /ml/machine-learning-databases/00439/peak-detection-data.tar.xz
2 19458 0.06% 3304714875 13.15% /ml/machine-learning-databases/00280/HIGGS.csv.gz
3 5194 0.02% 3097644800 12.33% /ml/machine-learning-databases/00251/WTD_upload.zip
4 2137 0.01% 2448729577 9.74% /ml/machine-learning-databases/00340/data.zip
5 11224 0.03% 1946285687 7.74% /ml/machine-learning-databases/00269/dir_data.tar
6 187 0.00% 653368468 2.60% /ml/machine-learning-databases/00460/fullData.anonymous.tar.bz2
7 2617 0.01% 483276489 1.92% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
8 856 0.00% 480980253 1.91% /ml/machine-learning-databases/00455/Tests.rar
9 116 0.00% 454451036 1.81% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
10 150781 0.46% 392855430 1.56% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
11 5033 0.02% 364159460 1.45% /ml/machine-learning-databases/00480/Measurements_Upload_Smaller.zip
12 1892 0.01% 350106819 1.39% /ml/machine-learning-databases/p53/p53_old_2010.zip
13 405 0.00% 342038814 1.36% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
14 676 0.00% 332489758 1.32% /ml/machine-learning-databases/00279/SUSY.csv.gz
15 4112 0.01% 299613134 1.19% /ml/machine-learning-databases/00256/data.zip
16 1224 0.00% 297240161 1.18% /ml/machine-learning-databases/00344/Activity recognition exp.zip
17 986 0.00% 295642228 1.18% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
18 1622 0.00% 293125699 1.17% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
19 402 0.00% 271114304 1.08% /ml/machine-learning-databases/00347/all_test.csv.gz
20 169 0.00% 238996034 0.95% /ml/machine-learning-databases/00347/all_train.csv.gz
21 10827 0.03% 214767286 0.85% /ml/machine-learning-databases/00352/Online Retail.xlsx
22 11451 0.03% 209575348 0.83% /ml/machine-learning-databases/00246/3D_spatial_network.txt
23 1283 0.00% 207369733 0.83% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
24 420 0.00% 199186483 0.79% /ml/machine-learning-databases/00456/multimodal-deep-learning-disaster-response-mouzannar.zip
25 629 0.00% 166782951 0.66% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
26 1684202 5.14% 159538857 0.63% /ml/datasets.html
27 224 0.00% 151206670 0.60% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
28 41765 0.13% 145840951 0.58% /ml/machine-learning-databases/adult/adult.data
29 4 0.00% 145585635 0.58% /ml//machine-learning-databases/00439/peak-detection-data.tar.xz
30 1392 0.00% 138690078 0.55% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
31 1373 0.00% 113285629 0.45% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
32 507 0.00% 109564729 0.44% /ml/machine-learning-databases/00318/NoisyOffice.zip
33 415 0.00% 105044166 0.42% /ml/machine-learning-databases/00385/de.tar.bz2
34 251 0.00% 88218805 0.35% /ml/databases/census1990/USCensus1990.data.txt
35 214 0.00% 85042012 0.34% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
36 3984 0.01% 81946415 0.33% /ml/machine-learning-databases/00462/drugsCom_raw.zip
37 385 0.00% 77526208 0.31% /ml/machine-learning-databases/00322/data.zip
38 389 0.00% 76110515 0.30% /ml/machine-learning-databases/00339/train.csv.zip
39 64 0.00% 74781152 0.30% /ml/machine-learning-databases/00347/1000_train.csv.gz
40 1828 0.01% 73586773 0.29% /ml/machine-learning-databases/00288/leaf.zip
41 443 0.00% 72810102 0.29% /ml/machine-learning-databases/url/url_svmlight.tar.gz
42 1017 0.00% 72342736 0.29% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
43 768 0.00% 65405307 0.26% /ml/machine-learning-databases/00417/fonts.zip
44 323 0.00% 61273270 0.24% /ml/machine-learning-databases/00306/dataset_segmentation.rar
45 1621 0.00% 57657968 0.23% /ml/machine-learning-databases/00447/data.zip
46 1260 0.00% 52714690 0.21% /ml/machine-learning-databases/00210/donation.zip
47 1291 0.00% 52346003 0.21% /ml/machine-learning-databases/00401/TCGA-PANCAN-HiSeq-801x20531.tar.gz
48 208 0.00% 51731452 0.21% /ml/machine-learning-databases/p53/p53_new_2012.zip
49 4534 0.01% 50588355 0.20% /ml/machine-learning-databases/00235/household_power_consumption.zip
50 2732 0.01% 48402565 0.19% /ml/machine-learning-databases/poker/poker-hand-testing.data
51 81 0.00% 46873159 0.19% /ml/machine-learning-databases/00347/1000_test.csv.gz
52 1628 0.00% 46758099 0.19% /ml/machine-learning-databases/00341/HAPT Data Set.zip
53 46 0.00% 43919610 0.17% /ml/machine-learning-databases/00347/not1000_train.csv.gz
54 782 0.00% 38005768 0.15% /ml/machine-learning-databases/00204/PEMS-SF.zip
55 701 0.00% 36284616 0.14% /ml/machine-learning-databases/00239/corpus.zip
56 754 0.00% 34403025 0.14% /ml/machine-learning-databases/00463/XOR_Arbiter_PUFs.zip
57 584 0.00% 33933242 0.14% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
58 921 0.00% 32470972 0.13% /ml/machine-learning-databases/00454/dataset.zip
59 1571 0.00% 31374039 0.12% /ml/machine-learning-databases/00326/TV_News_Channel_Commercial_Detection_Dataset.zip
60 366 0.00% 30092282 0.12% /ml/machine-learning-databases/00361/data1.zip
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Top 10 of 4463 Total Exit Pages
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Top 10 of 28496 Total Referrers
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1 18266434 55.79% - (Direct Request)
2 6468205 19.75% https://archive.ics.uci.edu/ml/datasets.html
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6 216471 0.66% https://www.google.com/
7 86193 0.26% https://archive.ics.uci.edu/ml/datasets/Iris
8 85055 0.26% http://archive.ics.uci.edu/ml/
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Top 100 of 411 Total Search Strings
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2 55 4.73% machine learning
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5 26 2.24% https://archive.ics.uci.edu/ml/datasets/wine quality
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9 17 1.46% https://archive.ics.uci.edu/ml/datasets/smartphone-based recognition of human activities and postural transitions
10 16 1.38% sponge
11 16 1.38% uci dataset
12 15 1.29% flags
13 13 1.12% https://archive.ics.uci.edu/ml/datasets/adult
14 13 1.12% https://archive.ics.uci.edu/ml/datasets/heart disease
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17 11 0.95% https://archive.ics.uci.edu/ml/datasets/pamap2 physical activity monitoring
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26 7 0.60% https://archive.ics.uci.edu/ml/datasets/arrhythmia
27 7 0.60% https://archive.ics.uci.edu/ml/datasets/online news popularity
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34 6 0.52% https://archive.ics.uci.edu/ml/datasets/diabetes 130-us hospitals for years 1999-2008
35 6 0.52% https://archive.ics.uci.edu/ml/datasets/human activity recognition using smartphones
36 6 0.52% https://archive.ics.uci.edu/ml/datasets/iris
37 6 0.52% image site:archive.ics.uci.edu/ml site:ics.uci.edu
38 6 0.52% machine learning repository
39 6 0.52% movement_libras site:archive.ics.uci.edu/ml site:ics.uci.edu
40 6 0.52% newo.icu/ml
41 6 0.52% ucidatasheet
42 5 0.43% cervical cancer dataset
43 5 0.43% diabetes patient datasets site:archive.ics.uci.edu/ml site:ics.uci.edu
44 5 0.43% german site:archive.ics.uci.edu/ml site:ics.uci.edu
45 5 0.43% https://archive.ics.uci.edu/ml/datasets/automobile
46 5 0.43% https://archive.ics.uci.edu/ml/datasets/higgs
47 5 0.43% https://archive.ics.uci.edu/ml/datasets/mushroom
48 5 0.43% https://archive.ics.uci.edu/ml/datasets/smartphone dataset for human activity recognition %28har%29 in ambient assisted living
49 5 0.43% https://archive.ics.uci.edu/ml/datasets/website phishing
50 5 0.43% iris site:archive.ics.uci.edu/ml
51 5 0.43% spam site:archive.ics.uci.edu/ml
52 5 0.43% spambase site:archive.ics.uci.edu/ml site:ics.uci.edu
53 5 0.43% uci machine learning
54 4 0.34% balloons
55 4 0.34% datauci
56 4 0.34% geotechnical site:archive.ics.uci.edu/ml
57 4 0.34% http://archive.ics.uci.edu/ml/index.php
58 4 0.34% https://archive.ics.uci.edu/ml/datasets/energy efficiency
59 4 0.34% https://archive.ics.uci.edu/ml/datasets/epileptic seizure recognition
60 4 0.34% https://archive.ics.uci.edu/ml/datasets/insurance company benchmark %28coil 2000%29
61 4 0.34% https://archive.ics.uci.edu/ml/datasets/online retail
62 4 0.34% https://archive.ics.uci.edu/ml/datasets/poker hand
63 4 0.34% https://archive.ics.uci.edu/ml/datasets/post-operative patient
64 4 0.34% landsat site:archive.ics.uci.edu/ml site:ics.uci.edu
65 4 0.34% open spurce oil and gas data for machine learning
66 4 0.34% politic site:archive.ics.uci.edu/ml
67 3 0.26% 233(0)302 683627
68 3 0.26% climate model simulation crash site:archive.ics.uci.edu/ml
69 3 0.26% data set 13103733
70 3 0.26% diabetes dataset
71 3 0.26% https://archive.ics.uci.edu/ml/datasets/behavior of the urban traffic of the city of sao paulo in brazil
72 3 0.26% https://archive.ics.uci.edu/ml/datasets/breast cancer wisconsin (original)
73 3 0.26% https://archive.ics.uci.edu/ml/datasets/drug consumption %28quantified%29
74 3 0.26% https://archive.ics.uci.edu/ml/datasets/educational process mining %28epm%29%3a a learning analytics data set
75 3 0.26% https://archive.ics.uci.edu/ml/datasets/polish companies bankruptcy data
76 3 0.26% https://archive.ics.uci.edu/ml/datasets/sentiment labelled sentences
77 3 0.26% https://archive.ics.uci.edu/ml/datasets/student performance
78 3 0.26% https://archive.ics.uci.edu/ml/datasets/tv news channel commercial detection dataset
79 3 0.26% https://archive.ics.uci.edu/ml/machine-learning-databases/00313/
80 3 0.26% https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data
81 3 0.26% immunotherapy site:archive.ics.uci.edu/ml
82 3 0.26% in:sent masterchief11752@gmail.com
83 3 0.26% index of 1999 movies
84 3 0.26% student site:archive.ics.uci.edu/ml
85 3 0.26% uci dataset repository
86 3 0.26% uci diabetes dataset
87 3 0.26% uci enron
88 3 0.26% uci epilepsy detection
89 3 0.26% wine data
90 2 0.17% 4 sensors site:archive.ics.uci.edu/ml
91 2 0.17% advertisements
92 2 0.17% amit
93 2 0.17% arabic sentiment dataset
94 2 0.17% breast cancer coimbra data set 2018 site:archive.ics.uci.edu/ml
95 2 0.17% car driver data site:archive.ics.uci.edu/ml
96 2 0.17% dataset for classification
97 2 0.17% dataset to download
98 2 0.17% eeg site:archive.ics.uci.edu/ml
99 2 0.17% epilepsy detection uci
100 2 0.17% game site:archive.ics.uci.edu/ml

Top 4 of 4 Total Usernames
# Hits Files KBytes Visits Username
1 264 0.00% 264 0.00% 14 0.00% 55 0.01% None
2 32 0.00% 32 0.00% 2 0.00% 32 0.00% ads
3 7 0.00% 7 0.00% 439 0.00% 2 0.00% svatpc01
4 1 0.00% 1 0.00% 9 0.00% 1 0.00% 1651997

Top 100 of 19325 Total User Agents
# Hits User Agent
1 11054263 33.76% Apache-HttpClient/4.5.5 (Java/1.8.0_141)
2 4570742 13.96% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
3 1704824 5.21% MobileSafari/604.1 CFNetwork/976 Darwin/18.2.0
4 817641 2.50% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
5 702644 2.15% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:64.0) Gecko/20100101 Firefox/64.0
6 575126 1.76% Safari/14606.3.4 CFNetwork/976 Darwin/18.2.0 (x86_64)
7 534284 1.63% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36 Edge/17.1
8 426598 1.30% Mozilla/5.0 (compatible; SemrushBot/3~bl; +http://www.semrush.com/bot.html)
9 416775 1.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
10 377228 1.15% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
11 345187 1.05% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:64.0) Gecko/20100101 Firefox/64.0
12 287576 0.88% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.2 Safari/605.1.15
13 276499 0.84% Arachni/v1.5.1
14 242784 0.74% Mozilla/5.0 (iPhone; CPU iPhone OS 12_1_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148
15 236033 0.72% MobileSafari/604.1 CFNetwork/975.0.3 Darwin/18.2.0
16 224698 0.69% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
17 221456 0.68% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
18 214456 0.65% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
19 169819 0.52% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
20 169807 0.52% Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:64.0) Gecko/20100101 Firefox/64.0
21 158644 0.48% Python-urllib/3.6
22 152113 0.46% MobileSafari/604.1 CFNetwork/974.2.1 Darwin/18.0.0
23 149189 0.46% Transmission/2.93
24 136166 0.42% Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)
25 125745 0.38% Python-urllib/3.7
26 125158 0.38% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
27 123982 0.38% Safari/14606.1.36.1.9 CFNetwork/974.1 Darwin/18.0.0 (x86_64)
28 120877 0.37% Mozilla/5.0 (iPhone; CPU iPhone OS 11_3 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/11.0 Mobile/15E148 Sa
29 117507 0.36% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
30 116289 0.36% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 OPR/57.0.
31 113711 0.35% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
32 111487 0.34% Safari/13606.3.4.1.4 CFNetwork/902.3.1 Darwin/17.7.0 (x86_64)
33 105457 0.32% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
34 104475 0.32% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT)
35 103264 0.32% MobileSafari/604.1 CFNetwork/902.2 Darwin/17.7.0
36 96497 0.29% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
37 93035 0.28% Wget/1.17.1 (linux-gnu)
38 90625 0.28% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
39 86077 0.26% PiplBot (+http://www.pipl.com/bot/)
40 84578 0.26% Safari%20%E6%B5%8F%E8%A7%88%E5%99%A8/14606.3.4 CFNetwork/976 Darwin/18.2.0 (x86_64)
41 81239 0.25% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
42 79681 0.24% Safari/14606.2.104.1.1 CFNetwork/975.0.3 Darwin/18.2.0 (x86_64)
43 76962 0.24% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
44 74133 0.23% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Safari/605.1.15
45 73204 0.22% python-requests/2.20.0
46 72521 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
47 70469 0.22% Python-urllib/3.5
48 68887 0.21% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/605.1.15 (KHTML, like Gecko)
49 65311 0.20% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:64.0) Gecko/20100101 Firefox/64.0
50 64645 0.20% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.2 Safari/605.1.15
51 62086 0.19% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
52 61724 0.19% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36 Edge/18.1
53 58038 0.18% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
54 57608 0.18% Mozilla/5.0 (Windows NT 6.3; Win64; x64; rv:64.0) Gecko/20100101 Firefox/64.0
55 57050 0.17% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 Edge/16.1
56 54897 0.17% Mozilla/5.0 (Windows NT 6.1; rv:64.0) Gecko/20100101 Firefox/64.0
57 51657 0.16% 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
58 50954 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.1 Safari/605.1.15
59 48205 0.15% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
60 48182 0.15% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:64.0) Gecko/20100101 Firefox/64.0
61 48000 0.15% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
62 44683 0.14% Mozilla/5.0 (X11; Linux x86_64; rv:60.0) Gecko/20100101 Firefox/60.0
63 42834 0.13% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
64 42135 0.13% Mozilla/5.0 (iPad; CPU OS 12_1_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148 Safari/60
65 40603 0.12% Python-urllib/2.7
66 40024 0.12% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 SE 2.X MetaSr
67 39523 0.12% Safari/13605.3.8 CFNetwork/902.1 Darwin/17.7.0 (x86_64)
68 39226 0.12% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
69 39103 0.12% Mozilla/5.0 (iPhone; CPU iPhone OS 12_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148 Sa
70 38887 0.12% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36
71 37616 0.11% Mozilla/5.0 (Windows NT 6.2; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
72 37107 0.11% Mozilla/5.0 (X11; Linux x86_64; rv:64.0) Gecko/20100101 Firefox/64.0
73 35016 0.11% MobileSafari/604.1 CFNetwork/897.15 Darwin/17.5.0
74 34358 0.10% Safari/13606.3.4.1.4 CFNetwork/902.1 Darwin/17.7.0 (x86_64)
75 32409 0.10% Mozilla/5.0 (compatible; BLEXBot/1.0; +http://webmeup-crawler.com/)
76 31783 0.10% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.81 Safari/537.36
77 30875 0.09% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:63.0) Gecko/20100101 Firefox/63.0
78 30825 0.09% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
79 29786 0.09% Mozilla/5.0 (Linux; Android) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.131 Safari/537.36
80 29677 0.09% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:65.0) Gecko/20100101 Firefox/65.0
81 29269 0.09% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.80 Safari/537.36
82 29068 0.09% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.13; rv:64.0) Gecko/20100101 Firefox/64.0
83 28120 0.09% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
84 27803 0.08% Safari/12606.3.4.1.4 CFNetwork/811.11 Darwin/16.7.0 (x86_64)
85 27717 0.08% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
86 27025 0.08% MobileSafari/604.1 CFNetwork/901.1 Darwin/17.6.0
87 26979 0.08% Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
88 26700 0.08% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko)
89 25195 0.08% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36
90 24591 0.08% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/11.1.2 Safari/605.1.15
91 24329 0.07% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/71.0.3578.98 Chrome/71.0.3578.98 Safar
92 23728 0.07% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:61.0) Gecko/20100101 Firefox/61.0
93 23597 0.07% Safari/14606.4.5 CFNetwork/976 Darwin/18.2.0 (x86_64)
94 23581 0.07% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
95 22726 0.07% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:60.0) Gecko/20100101 Firefox/60.0
96 22070 0.07% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.2 Safari/605.1.15
97 21899 0.07% Safari%20%E6%B5%8F%E8%A7%88%E5%99%A8/14606.1.36.1.9 CFNetwork/974.1 Darwin/18.0.0 (x86_64)
98 21822 0.07% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko
99 21413 0.07% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.75 Safari/537.36 Google Favicon
100 20994 0.06% Safari/11605.3.8.1 CFNetwork/760.9 Darwin/15.6.0 (x86_64)

Usage by Country for January 2019

Top 30 of 232 Total Countries
# Hits Files KBytes Country
1 13670903 41.75% 2115551 12.71% 3593473995 14.30% Commercial (com)
2 2900986 8.86% 1870853 11.24% 1455184672 5.79% Network (net)
3 2639904 8.06% 2369547 14.23% 1833948936 7.30% India
4 2566373 7.84% 1963752 11.79% 7828600858 31.15% China
5 1325474 4.05% 1023279 6.15% 726157918 2.89% United States
6 775501 2.37% 698991 4.20% 452526260 1.80% Educational (edu)
7 486472 1.49% 439091 2.64% 615254533 2.45% Indonesia
8 452673 1.38% 335907 2.02% 354757740 1.41% Germany
9 420906 1.29% 261035 1.57% 317211009 1.26% Japan
10 409453 1.25% 301362 1.81% 154355594 0.61% Canada
11 405415 1.24% 287093 1.72% 334838278 1.33% Korea, Republic of
12 396384 1.21% 292426 1.76% 430532969 1.71% Turkey
13 340321 1.04% 256591 1.54% 161477284 0.64% Italy
14 331577 1.01% 281375 1.69% 363799408 1.45% Great Britain (UK)
15 317481 0.97% 276719 1.66% 238199760 0.95% Poland
16 296773 0.91% 255914 1.54% 367047077 1.46% Unresolved/Unknown
17 292176 0.89% 216182 1.30% 181638652 0.72% France
18 287895 0.88% 215166 1.29% 228424215 0.91% Brazil
19 242758 0.74% 184575 1.11% 116129190 0.46% Russian Federation
20 221029 0.68% 186264 1.12% 475029934 1.89% Iran
21 176277 0.54% 142251 0.85% 87163824 0.35% Thailand
22 174043 0.53% 119044 0.72% 125227813 0.50% Singapore
23 161852 0.49% 123857 0.74% 87036321 0.35% United Kingdom
24 159193 0.49% 117120 0.70% 210065450 0.84% Australia
25 153498 0.47% 128466 0.77% 82144692 0.33% Spain
26 136716 0.42% 115138 0.69% 126668176 0.50% Taiwan
27 131766 0.40% 118883 0.71% 295455535 1.18% Pakistan
28 123336 0.38% 84031 0.50% 68264244 0.27% Mexico
29 120978 0.37% 92932 0.56% 86269956 0.34% Netherlands
30 107269 0.33% 96075 0.58% 47081077 0.19% Romania

Generated by Webalizer Version 2.23