Usage Statistics for archive.ics.uci.edu

Summary Period: November 2018
Generated 01-Dec-2018 06:41 PST

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

Monthly Statistics for November 2018
Total Hits 27003299
Total Files 19888896
Total Pages 5021979
Total Visits 896353
Total KBytes 30179497858
Total Unique Sites 461522
Total Unique URLs 20606
Total Unique Referrers 32505
Total Unique Usernames 3
Total Unique User Agents 22189
. Avg Max
Hits per Hour 37504 73986
Hits per Day 900109 1467026
Files per Day 662963 849647
Pages per Day 167399 311357
Sites per Day 15384 31206
Visits per Day 29878 34759
KBytes per Day 1005983262 5024259731
Hits by Response Code
Code 200 - OK 73.65% 19888896
Code 206 - Partial Content 2.17% 584970
Code 301 - Moved Permanently 0.14% 38386
Code 302 - Found 0.03% 8562
Code 304 - Not Modified 6.34% 1711684
Code 400 - Bad Request 0.00% 717
Code 403 - Forbidden 0.00% 316
Code 404 - Not Found 17.65% 4767365
Code 405 - Method Not Allowed 0.01% 1951
Code 406 - Not Acceptable 0.00% 3
Code 416 - Requested Range Not Satisfiable 0.00% 218
Code 500 - Internal Server Error 0.00% 225
Code 501 - Not Implemented 0.00% 6

Daily usage for November 2018

Daily Statistics for November 2018
Day Hits Files Pages Visits Sites KBytes
1 1058539 3.92% 625428 3.14% 139369 2.78% 29847 3.33% 26276 5.69% 1059983582 3.51%
2 674149 2.50% 515364 2.59% 115098 2.29% 26311 2.94% 23308 5.05% 648061772 2.15%
3 619399 2.29% 450977 2.27% 133565 2.66% 23160 2.58% 19986 4.33% 468212328 1.55%
4 757620 2.81% 583785 2.94% 146527 2.92% 28649 3.20% 25807 5.59% 1038116503 3.44%
5 909137 3.37% 727942 3.66% 179897 3.58% 32101 3.58% 29562 6.41% 1171538114 3.88%
6 856721 3.17% 680607 3.42% 144592 2.88% 31026 3.46% 28225 6.12% 787759109 2.61%
7 856864 3.17% 675160 3.39% 147386 2.93% 31257 3.49% 27819 6.03% 702384877 2.33%
8 846561 3.14% 660673 3.32% 144480 2.88% 30505 3.40% 27246 5.90% 734406416 2.43%
9 710325 2.63% 547870 2.75% 127039 2.53% 26823 2.99% 23917 5.18% 488815830 1.62%
10 607031 2.25% 458060 2.30% 125366 2.50% 24222 2.70% 19850 4.30% 730317737 2.42%
11 822906 3.05% 645721 3.25% 169140 3.37% 29026 3.24% 24521 5.31% 669914579 2.22%
12 930267 3.45% 741187 3.73% 164480 3.28% 33424 3.73% 29008 6.29% 1163166943 3.85%
13 996139 3.69% 814228 4.09% 165408 3.29% 33288 3.71% 29141 6.31% 995542800 3.30%
14 932185 3.45% 744331 3.74% 160432 3.19% 33443 3.73% 29397 6.37% 5024259731 16.65%
15 910912 3.37% 737342 3.71% 197152 3.93% 32062 3.58% 28012 6.07% 971606095 3.22%
16 777118 2.88% 618687 3.11% 173666 3.46% 27909 3.11% 24394 5.29% 721418264 2.39%
17 689268 2.55% 541707 2.72% 162070 3.23% 24644 2.75% 20734 4.49% 695078399 2.30%
18 947217 3.51% 777197 3.91% 311357 6.20% 30085 3.36% 25235 5.47% 1277555967 4.23%
19 985352 3.65% 791147 3.98% 238667 4.75% 33115 3.69% 28872 6.26% 1661515448 5.51%
20 1009075 3.74% 828820 4.17% 275646 5.49% 32646 3.64% 28339 6.14% 1223361809 4.05%
21 979709 3.63% 729358 3.67% 194065 3.86% 31481 3.51% 27444 5.95% 994659289 3.30%
22 804196 2.98% 636148 3.20% 176637 3.52% 28916 3.23% 25073 5.43% 651063690 2.16%
23 693771 2.57% 536858 2.70% 160931 3.20% 26301 2.93% 22238 4.82% 714867225 2.37%
24 664460 2.46% 506671 2.55% 156985 3.13% 25271 2.82% 20786 4.50% 496588785 1.65%
25 783776 2.90% 611222 3.07% 143376 2.85% 29683 3.31% 25681 5.56% 590363029 1.96%
26 965463 3.58% 774531 3.89% 170966 3.40% 34759 3.88% 31206 6.76% 1072033287 3.55%
27 1229717 4.55% 754311 3.79% 152696 3.04% 34243 3.82% 30596 6.63% 1231039658 4.08%
28 1467026 5.43% 849647 4.27% 171406 3.41% 34414 3.84% 30228 6.55% 741031255 2.46%
29 1327220 4.92% 720820 3.62% 144236 2.87% 32504 3.63% 28477 6.17% 766781402 2.54%
30 1191176 4.41% 603097 3.03% 129344 2.58% 28963 3.23% 24374 5.28% 688053934 2.28%

Hourly usage for November 2018

Hourly Statistics for November 2018
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 41789 1253676 4.64% 32239 967173 4.86% 7629 228872 4.56% 46242770 1387283088 4.60%
1 40787 1223620 4.53% 31430 942924 4.74% 7498 224961 4.48% 47977888 1439336627 4.77%
2 40014 1200425 4.45% 30757 922738 4.64% 7837 235115 4.68% 41618739 1248562176 4.14%
3 40692 1220788 4.52% 31174 935222 4.70% 7772 233162 4.64% 40953445 1228603335 4.07%
4 42357 1270733 4.71% 31976 959290 4.82% 7855 235668 4.69% 56499691 1694990738 5.62%
5 45082 1352477 5.01% 33386 1001607 5.04% 7864 235939 4.70% 46354455 1390633647 4.61%
6 46072 1382166 5.12% 34001 1020043 5.13% 8358 250759 4.99% 48749035 1462471039 4.85%
7 44253 1327597 4.92% 32929 987878 4.97% 7994 239828 4.78% 45870864 1376125932 4.56%
8 41468 1244069 4.61% 30619 918576 4.62% 7344 220328 4.39% 40818640 1224559201 4.06%
9 38185 1145566 4.24% 27828 834865 4.20% 6619 198587 3.95% 29601322 888039657 2.94%
10 37657 1129727 4.18% 27228 816844 4.11% 6887 206634 4.11% 38190637 1145719102 3.80%
11 35802 1074088 3.98% 25877 776325 3.90% 6400 192010 3.82% 33759923 1012797703 3.36%
12 34906 1047180 3.88% 25086 752583 3.78% 6386 191600 3.82% 28953018 868590536 2.88%
13 33191 995732 3.69% 23680 710409 3.57% 6698 200962 4.00% 26722367 801671003 2.66%
14 29854 895642 3.32% 20982 629465 3.16% 6109 183271 3.65% 28383603 851508083 2.82%
15 27336 820103 3.04% 18616 558487 2.81% 5459 163772 3.26% 22680466 680413967 2.25%
16 29923 897707 3.32% 20797 623919 3.14% 5914 177448 3.53% 25337331 760119926 2.52%
17 34567 1037016 3.84% 24754 742648 3.73% 6678 200343 3.99% 26664937 799948105 2.65%
18 36149 1084492 4.02% 26296 788885 3.97% 6908 207266 4.13% 37631124 1128933735 3.74%
19 34712 1041378 3.86% 25220 756604 3.80% 6672 200182 3.99% 82786250 2483587501 8.23%
20 31879 956371 3.54% 22757 682714 3.43% 5954 178630 3.56% 66926332 2007789952 6.65%
21 33770 1013127 3.75% 24704 741142 3.73% 6231 186951 3.72% 59443687 1783310616 5.91%
22 39303 1179090 4.37% 29754 892624 4.49% 7125 213762 4.26% 39893345 1196800346 3.97%
23 40350 1210529 4.48% 30864 925931 4.66% 7197 215929 4.30% 43923395 1317701844 4.37%

Top 100 of 20606 Total URLs
# Hits KBytes URL
1 2030971 7.52% 166554884 0.55% /ml/datasets.html
2 1388598 5.14% 51417 0.00% /ml/machine-learning-databases/00422/wifi_localization.txt
3 500176 1.85% 5816210 0.02% /ml/
4 342007 1.27% 593089569 1.97% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
5 154067 0.57% 50228457 0.17% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
6 146094 0.54% 643758 0.00% /ml/machine-learning-databases/iris/iris.data
7 105985 0.39% 12819822 0.04% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
8 65218 0.24% 6489692 0.02% /ml/machine-learning-databases/statlog/german/german.data-numeric
9 60213 0.22% 194272839 0.64% /ml/machine-learning-databases/adult/adult.data
10 58471 0.22% 4991463 0.02% /ml/machine-learning-databases/
11 51684 0.19% 780189 0.00% /ml/datasets.html/datasets.html
12 51001 0.19% 4157296 0.01% /ml/machine-learning-databases/wine-quality/winequality-red.csv
13 47447 0.18% 494949 0.00% /ml/machine-learning-databases/wine/wine.data
14 44051 0.16% 3149707 0.01% /ml/datasets/Iris
15 41041 0.15% 9867178 0.03% /ml/machine-learning-databases/wine-quality/winequality-white.csv
16 38529 0.14% 60211 0.00% /ml/machine-learning-databases/iris/
17 37273 0.14% 1573 0.00% /
18 26788 0.10% 77963 0.00% /ml/machine-learning-databases/iris/iris.names
19 26335 0.10% 1053646 0.00% /ml/datasets/Adult
20 23436 0.09% 203162 0.00% /ml/datasets/Wine+Quality
21 22835 0.08% 55852 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
22 22439 0.08% 39579 0.00% /ml/machine-learning-databases/adult/
23 21776 0.08% 1561783 0.01% /ml/datasets/iris
24 21535 0.08% 235836 0.00% /ml/datasets/Bank+Marketing
25 21358 0.08% 537589 0.00% /ml/machine-learning-databases/autos/imports-85.data
26 20718 0.08% 397179 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
27 20589 0.08% 796030 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
28 19395 0.07% 670756 0.00% /ml/datasets/Wine
29 18733 0.07% 924857 0.00% /ml/machine-learning-databases/car/car.data
30 18515 0.07% 365029 0.00% /ml/datasets/Car+Evaluation
31 17729 0.07% 922479 0.00% /ml/datasets/Heart+Disease
32 17476 0.06% 139288051 0.46% /ml/machine-learning-databases/00235/household_power_consumption.zip
33 16579 0.06% 462168 0.00% /ml/datasets/Abalone
34 16254 0.06% 22112 0.00% /ml/machine-learning-databases/car/
35 15553 0.06% 311603 0.00% /ml/datasets.html/datasets/datasets.html
36 15544 0.06% 2789816626 9.24% /ml/machine-learning-databases/00280/HIGGS.csv.gz
37 15298 0.06% 20660 0.00% /ml/machine-learning-databases/wine/
38 14888 0.06% 20688 0.00% /ml/machine-learning-databases/wine-quality/
39 14559 0.05% 2633616 0.01% /ml/machine-learning-databases/abalone/abalone.data
40 14142 0.05% 25571870 0.08% /ml/machine-learning-databases/adult/adult.test
41 13303 0.05% 141342 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
42 12758 0.05% 607166 0.00% /ml/machine-learning-databases/housing/housing.data
43 12752 0.05% 54489 0.00% /ml/machine-learning-databases/heart-disease/
44 12281 0.05% 120328 0.00% /ml/datasets/Forest+Fires
45 11124 0.04% 106901 0.00% /ml/datasets/default+of+credit+card+clients
46 10879 0.04% 119988 0.00% /ml/datasets/Student+Performance
47 10872 0.04% 3858853 0.01% /ml/machine-learning-databases/mushroom/agaricus-lepiota.data
48 10786 0.04% 12877 0.00% /ml/machine-learning-databases/00222/
49 10696 0.04% 14655 0.00% /ml/machine-learning-databases/abalone/
50 10300 0.04% 94919 0.00% /ml/datasets/Poker+Hand
51 10198 0.04% 2023577 0.01% /ml/machine-learning-databases/00252/pop_failures.dat
52 10135 0.04% 79911 0.00% /ml/datasets/Student+Academics+Performance
53 9858 0.04% 1257234 0.00% /ml/machine-learning-databases/00254/biodeg.csv
54 9787 0.04% 6821900 0.02% /ml/machine-learning-databases/00253/micromass.zip
55 9771 0.04% 49031 0.00% /ml/machine-learning-databases/adult/adult.names
56 9760 0.04% 101496 0.00% /ml/datasets/Bike+Sharing+Dataset
57 9604 0.04% 188497 0.00% /ml//datasets.html
58 9399 0.03% 41390 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
59 8919 0.03% 104599 0.00% /ml/datasets/Absenteeism+at+work
60 8855 0.03% 257030 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
61 8576 0.03% 69167 0.00% /ml/datasets/Online+Retail
62 8438 0.03% 134639 0.00% /ml/datasets/Auto+MPG
63 8430 0.03% 150899 0.00% /ml/machine-learning-databases/heart-disease/processed.cleveland.data
64 8254 0.03% 281471 0.00% /ml/machine-learning-databases/00312/dow_jones_index.zip
65 8251 0.03% 298902863 0.99% /ml/machine-learning-databases/00279/SUSY.csv.gz
66 8207 0.03% 4469543 0.01% /ml/machine-learning-databases/optdigits/optdigits.tra
67 7971 0.03% 138773342 0.46% /ml/machine-learning-databases/00462/drugsCom_raw.zip
68 7965 0.03% 144888634 0.48% /ml/machine-learning-databases/00352/Online Retail.xlsx
69 7930 0.03% 673850 0.00% /ml/machine-learning-databases/undocumented/connectionist-bench/sonar/sonar.all-data
70 7862 0.03% 5270687 0.02% /ml/machine-learning-databases/spambase/spambase.data
71 7840 0.03% 421273 0.00% /ml/machine-learning-databases/00000/
72 7812 0.03% 529509 0.00% /ml/datasets/Breast+Cancer
73 7772 0.03% 67812 0.00% /ml/datasets/Drug+Review+Dataset+(Drugs.com)
74 7766 0.03% 3791250 0.01% /ml/machine-learning-databases/00222/bank.zip
75 7711 0.03% 30934 0.00% /ml/datasets/favicon.ico
76 7617 0.03% 78079 0.00% /ml/datasets/Air+Quality
77 7549 0.03% 299372 0.00% /ml/datasets/Mushroom
78 7454 0.03% 10083657 0.03% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
79 7396 0.03% 230932 0.00% /ml/machine-learning-databases/credit-screening/crx.data
80 7389 0.03% 55661 0.00% /ml/datasets/Superconductivty+Data
81 7299 0.03% 90073 0.00% /ml/datasets/Automobile
82 7266 0.03% 61140 0.00% /ml/datasets/seeds
83 7194 0.03% 664182 0.00% /ml/machine-learning-databases/yeast/yeast.data
84 7170 0.03% 20918 0.00% /ml/machine-learning-databases/wine/wine.names
85 7120 0.03% 11326 0.00% /ml/machine-learning-databases/auto-mpg/
86 7116 0.03% 544688 0.00% /ml/machine-learning-databases/statlog/german/german.data
87 6981 0.03% 238925 0.00% /ml/datasets/wine
88 6807 0.03% 41126 0.00% /ml/machine-learning-databases/balance-scale/balance-scale.data
89 6800 0.03% 57955 0.00% /ml/datasets/Energy+efficiency
90 6732 0.02% 164929 0.00% /ml/machine-learning-databases/forest-fires/forestfires.csv
91 6723 0.02% 157519 0.00% /ml/datasets/Census+Income
92 6602 0.02% 54774 0.00% /ml/datasets/wine+quality
93 6566 0.02% 106080 0.00% /ml/datasets/Statlog+(German+Credit+Data)
94 6418 0.02% 57409 0.00% /ml/machine-learning-databases/00236/seeds_dataset.txt
95 6345 0.02% 236567 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
96 6338 0.02% 40589422 0.13% /ml/machine-learning-databases/00239/corpus.zip
97 6319 0.02% 20025 0.00% /ml/machine-learning-databases/wine-quality/winequality.names
98 6316 0.02% 10144 0.00% /ml/machine-learning-databases/mushroom/
99 6205 0.02% 52362 0.00% /ml/datasets/Wholesale+customers
100 6193 0.02% 77508 0.00% /ml/datasets/Online+News+Popularity

Top 100 of 20606 Total URLs By KBytes
# Hits KBytes URL
1 155 0.00% 5382556543 17.84% /ml/machine-learning-databases/00439/peak-detection-data.tar.xz
2 1828 0.01% 3206198661 10.62% /ml/machine-learning-databases/00340/data.zip
3 15544 0.06% 2789816626 9.24% /ml/machine-learning-databases/00280/HIGGS.csv.gz
4 4553 0.02% 2186114313 7.24% /ml/machine-learning-databases/00269/dir_data.tar
5 681 0.00% 2002202789 6.63% /ml/machine-learning-databases/00460/fullData.anonymous.tar.bz2
6 1541 0.01% 1367701964 4.53% /ml/machine-learning-databases/00347/not1000_train.csv.gz
7 1529 0.01% 1318251436 4.37% /ml/machine-learning-databases/00347/1000_train.csv.gz
8 5029 0.02% 840993065 2.79% /ml/machine-learning-databases/00251/WTD_upload.zip
9 4243 0.02% 631267890 2.09% /ml/machine-learning-databases/00347/1000_test.csv.gz
10 1525 0.01% 604180164 2.00% /ml/machine-learning-databases/00347/all_test.csv.gz
11 342007 1.27% 593089569 1.97% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
12 1323 0.00% 582681476 1.93% /ml/machine-learning-databases/00347/not1000_test.csv.gz
13 840 0.00% 522716030 1.73% /ml/machine-learning-databases/00455/Tests.rar
14 97 0.00% 431074459 1.43% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
15 5487 0.02% 404141656 1.34% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
16 8251 0.03% 298902863 0.99% /ml/machine-learning-databases/00279/SUSY.csv.gz
17 1102 0.00% 272447923 0.90% /ml/machine-learning-databases/00318/NoisyOffice.zip
18 2539 0.01% 270390503 0.90% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
19 1042 0.00% 251817658 0.83% /ml/machine-learning-databases/00344/Activity recognition exp.zip
20 2627 0.01% 239732760 0.79% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
21 1611 0.01% 238216441 0.79% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
22 6 0.00% 218378453 0.72% /ml//machine-learning-databases/00439/peak-detection-data.tar.xz
23 361 0.00% 209642265 0.69% /ml/machine-learning-databases/00456/multimodal-deep-learning-disaster-response-mouzannar.zip
24 3232 0.01% 208418823 0.69% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
25 4161 0.02% 206437119 0.68% /ml/machine-learning-databases/00256/data.zip
26 60213 0.22% 194272839 0.64% /ml/machine-learning-databases/adult/adult.data
27 2427 0.01% 191814829 0.64% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
28 811 0.00% 186349154 0.62% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
29 1059 0.00% 184496744 0.61% /ml/machine-learning-databases/p53/p53_old_2010.zip
30 270 0.00% 180087449 0.60% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
31 2030971 7.52% 166554884 0.55% /ml/datasets.html
32 1056 0.00% 148194849 0.49% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
33 7965 0.03% 144888634 0.48% /ml/machine-learning-databases/00352/Online Retail.xlsx
34 17476 0.06% 139288051 0.46% /ml/machine-learning-databases/00235/household_power_consumption.zip
35 7971 0.03% 138773342 0.46% /ml/machine-learning-databases/00462/drugsCom_raw.zip
36 3002 0.01% 134220324 0.44% /ml/machine-learning-databases/00385/de.tar.bz2
37 402 0.00% 131219563 0.43% /ml/machine-learning-databases/00347/all_train.csv.gz
38 3214 0.01% 103218409 0.34% /ml/machine-learning-databases/00288/leaf.zip
39 1383 0.01% 97877067 0.32% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
40 2427 0.01% 93065998 0.31% /ml/machine-learning-databases/00339/train.csv.zip
41 481 0.00% 91715236 0.30% /ml/machine-learning-databases/00322/data.zip
42 2031 0.01% 86968978 0.29% /ml/machine-learning-databases/00463/XOR_Arbiter_PUFs.zip
43 4005 0.01% 72019186 0.24% /ml/machine-learning-databases/poker/poker-hand-testing.data
44 871 0.00% 71557643 0.24% /ml/machine-learning-databases/00417/fonts.zip
45 1580 0.01% 60248236 0.20% /ml/machine-learning-databases/00401/TCGA-PANCAN-HiSeq-801x20531.tar.gz
46 3494 0.01% 56773364 0.19% /ml/machine-learning-databases/00341/HAPT Data Set.zip
47 632 0.00% 56294040 0.19% /ml/machine-learning-databases/url/url_svmlight.tar.gz
48 1256 0.00% 50386103 0.17% /ml/machine-learning-databases/00389/DevanagariHandwrittenCharacterDataset.zip
49 154067 0.57% 50228457 0.17% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
50 137 0.00% 48343905 0.16% /ml/databases/census1990/USCensus1990.data.txt
51 1299 0.00% 47127718 0.16% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
52 1781 0.01% 46050665 0.15% /ml/machine-learning-databases/00447/data.zip
53 252 0.00% 45131545 0.15% /ml/machine-learning-databases/p53/p53_new_2012.zip
54 639 0.00% 43286564 0.14% /ml/machine-learning-databases/00371/NIPS_1987-2015.csv
55 174 0.00% 43205134 0.14% /ml/machine-learning-databases/00306/dataset_segmentation.rar
56 1524 0.01% 42977201 0.14% /ml/machine-learning-databases/00210/donation.zip
57 6338 0.02% 40589422 0.13% /ml/machine-learning-databases/00239/corpus.zip
58 1 0.00% 36396409 0.12% /ml/machine-learning-databases/00439//peak-detection-data.tar.xz
59 2096 0.01% 34726670 0.12% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
60 132 0.00% 34004059 0.11% /ml/machine-learning-databases/00442/Philips_B120N10_Baby_Monitor/bengin_traffic.csv
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37 7 0.45% https://archive.ics.uci.edu/ml/datasets/zoo
38 6 0.38% connectionist-bench site:archive.ics.uci.edu/ml
39 6 0.38% https://archive.ics.uci.edu/ml/datasets/educational process mining %28epm%29%3a a learning analytics data set
40 6 0.38% https://archive.ics.uci.edu/ml/datasets/human activity recognition using smartphones
41 6 0.38% https://archive.ics.uci.edu/ml/datasets/individual household electric power consumption
42 6 0.38% https://archive.ics.uci.edu/ml/datasets/online retail#
43 6 0.38% https://archive.ics.uci.edu/ml/datasets/statlog (german credit data)
44 6 0.38% https://archive.ics.uci.edu/ml/datasets/synthetic control chart time series
45 6 0.38% iris dataset
46 5 0.32% balloons
47 5 0.32% car site:archive.ics.uci.edu/ml
48 5 0.32% credit site:archive.ics.uci.edu/ml
49 5 0.32% dermatology site:ics.uci.edu
50 5 0.32% https://archive.ics.uci.edu/ml/datasets/appliances energy prediction
51 5 0.32% https://archive.ics.uci.edu/ml/datasets/arrhythmia
52 5 0.32% https://archive.ics.uci.edu/ml/datasets/automobile
53 5 0.32% https://archive.ics.uci.edu/ml/datasets/liver disorders
54 5 0.32% https://archive.ics.uci.edu/ml/datasets/sms spam collection
55 5 0.32% https://archive.ics.uci.edu/ml/datasets/wesad %28wearable stress and affect detection%29
56 5 0.32% https://archive.ics.uci.edu/ml/datasets/zoofbclid=iwar20u0r5dn7qz9yk3kakifcd7pp3yz0fpb7wpxvyqcjchtzp__rwdg6jnw8
57 5 0.32% https://archive.ics.uci.edu/ml/machine-learning-databases/credit-screening/
58 5 0.32% uci data
59 5 0.32% uci machine learning
60 5 0.32% uci machine learning repository
61 4 0.25% arrhythmia site:archive.ics.uci.edu/ml
62 4 0.25% echocardiogram site:ics.uci.edu
63 4 0.25% hepatitis site:archive.ics.uci.edu/ml
64 4 0.25% http://archive.ics.uci.edu/ml/datasets/communities and crime
65 4 0.25% https://archive.ics.uci.edu/ml/datasets/bike sharing dataset
66 4 0.25% https://archive.ics.uci.edu/ml/datasets/blood transfusion service center
67 4 0.25% https://archive.ics.uci.edu/ml/datasets/daily and sports activities
68 4 0.25% https://archive.ics.uci.edu/ml/datasets/facebook comment volume dataset
69 4 0.25% https://archive.ics.uci.edu/ml/datasets/forest fires
70 4 0.25% https://archive.ics.uci.edu/ml/datasets/madelon
71 4 0.25% https://archive.ics.uci.edu/ml/datasets/mushroom
72 4 0.25% https://archive.ics.uci.edu/ml/datasets/online news popularity#
73 4 0.25% https://archive.ics.uci.edu/ml/machine-learning-databases/00271/
74 3 0.19% blood site:archive.ics.uci.edu/ml
75 3 0.19% connectionist site:archive.ics.uci.edu/ml
76 3 0.19% content
77 3 0.19% cylinder
78 3 0.19% hospital site:archive.ics.uci.edu/ml
79 3 0.19% http://archive.ics.uci.edu/ml
80 3 0.19% https://archive.ics.uci.edu/ml/datasets/abscisic acid signaling network
81 3 0.19% https://archive.ics.uci.edu/ml/datasets/congressional voting records
82 3 0.19% https://archive.ics.uci.edu/ml/datasets/diabetes
83 3 0.19% https://archive.ics.uci.edu/ml/datasets/fma%3a a dataset for music analysis
84 3 0.19% https://archive.ics.uci.edu/ml/datasets/heart disease
85 3 0.19% https://archive.ics.uci.edu/ml/datasets/leaf
86 3 0.19% https://archive.ics.uci.edu/ml/datasets/online news popularity
87 3 0.19% https://archive.ics.uci.edu/ml/datasets/pandor
88 3 0.19% https://archive.ics.uci.edu/ml/datasets/sml2010
89 3 0.19% https://archive.ics.uci.edu/ml/datasets/teaching assistant evaluation
90 3 0.19% https://archive.ics.uci.edu/ml/datasets/tic-tac-toe endgame
91 3 0.19% https://archive.ics.uci.edu/ml/machine-learning-databases/adult/
92 3 0.19% https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/
93 3 0.19% iris site:archive.ics.uci.edu/ml
94 3 0.19% pima indian dataset
95 3 0.19% time series dataset
96 3 0.19% uci learning
97 3 0.19% uci repository
98 3 0.19% wesad (wearable stress and affect detection) data set
99 3 0.19% نحوه ساختن متد و کلاس برای دیتا ست
100 2 0.13% abalone datasey

Top 3 of 3 Total Usernames
# Hits Files KBytes Visits Username
1 52 0.00% 52 0.00% 276 0.00% 34 0.00% ads
2 1 0.00% 1 0.00% 4 0.00% 1 0.00% Programador
3 1 0.00% 1 0.00% 11 0.00% 1 0.00% deimos

Top 100 of 22189 Total User Agents
# Hits User Agent
1 2383693 8.83% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
2 2219191 8.22% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
3 1541016 5.71% Apache-HttpClient/4.5.5 (Java/1.8.0_141)
4 996453 3.69% MobileSafari/604.1 CFNetwork/975.0.3 Darwin/18.2.0
5 948478 3.51% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:63.0) Gecko/20100101 Firefox/63.0
6 752276 2.79% MobileSafari/604.1 CFNetwork/974.2.1 Darwin/18.0.0
7 738464 2.73% 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 716984 2.66% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
9 632431 2.34% Mozilla/5.0 (compatible; SemrushBot/2~bl; +http://www.semrush.com/bot.html)
10 414239 1.53% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:63.0) Gecko/20100101 Firefox/63.0
11 412253 1.53% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
12 386972 1.43% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
13 337268 1.25% Safari/14606.2.104.1.1 CFNetwork/975.0.3 Darwin/18.2.0 (x86_64)
14 290098 1.07% Safari/14606.1.36.1.9 CFNetwork/974.1 Darwin/18.0.0 (x86_64)
15 275722 1.02% Mozilla/5.0 (compatible; Go-http-client/1.1; +centurybot9@gmail.com)
16 265251 0.98% Transmission/2.93
17 260442 0.96% SiteSucker/2.4.6
18 240868 0.89% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
19 223788 0.83% 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
20 217111 0.80% Python-urllib/3.6
21 212198 0.79% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Safari/605.1.15
22 207696 0.77% Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:63.0) Gecko/20100101 Firefox/63.0
23 207077 0.77% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
24 200197 0.74% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
25 189731 0.70% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
26 183726 0.68% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
27 182920 0.68% MobileSafari/604.1 CFNetwork/902.2 Darwin/17.7.0
28 171430 0.63% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
29 162020 0.60% 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
30 150871 0.56% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
31 149582 0.55% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
32 145479 0.54% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
33 139912 0.52% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36 OPR/56.0.
34 136423 0.51% Python-urllib/3.7
35 136345 0.50% Arachni/v1.5.1
36 129802 0.48% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
37 129724 0.48% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
38 123252 0.46% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
39 118731 0.44% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
40 118323 0.44% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.1 Safari/605.1.15
41 116049 0.43% 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
42 109881 0.41% Mozilla/5.0 (iPhone; CPU iPhone OS 12_0_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148
43 105623 0.39% PiplBot (+http://www.pipl.com/bot/)
44 105374 0.39% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
45 103043 0.38% Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)
46 100734 0.37% Safari/13606.2.104.1.2 CFNetwork/902.3.1 Darwin/17.7.0 (x86_64)
47 99044 0.37% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
48 93470 0.35% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
49 90536 0.34% 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
50 90086 0.33% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
51 81558 0.30% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
52 78615 0.29% Mozilla/5.0 (Windows NT 6.3; Win64; x64; rv:63.0) Gecko/20100101 Firefox/63.0
53 73458 0.27% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36
54 72331 0.27% Safari/13606.2.104.1.2 CFNetwork/902.1 Darwin/17.7.0 (x86_64)
55 72304 0.27% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
56 70151 0.26% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
57 69829 0.26% Python-urllib/1.17
58 69685 0.26% Python-urllib/3.5
59 67741 0.25% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
60 66546 0.25% Transmission/2.82
61 64964 0.24% Safari%20%E6%B5%8F%E8%A7%88%E5%99%A8/14606.2.104.1.1 CFNetwork/975.0.3 Darwin/18.2.0 (x86_64)
62 64288 0.24% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
63 63215 0.23% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:63.0) Gecko/20100101 Firefox/63.0
64 62191 0.23% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:63.0) Gecko/20100101 Firefox/63.0
65 61516 0.23% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
66 60618 0.22% python-requests/2.20.0
67 58074 0.22% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
68 57447 0.21% 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)
69 55472 0.21% Safari/13606.2.11 CFNetwork/902.1 Darwin/17.7.0 (x86_64)
70 54570 0.20% faviconkit/1.0 (https://faviconkit.com)
71 53578 0.20% Mozilla/5.0 (Windows NT 6.1; rv:63.0) Gecko/20100101 Firefox/63.0
72 52801 0.20% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Safari/605.1.15
73 52132 0.19% Safari/13605.3.8 CFNetwork/902.1 Darwin/17.7.0 (x86_64)
74 51925 0.19% 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
75 51659 0.19% Mozilla/5.0 (Linux; Android) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.131 Safari/537.36
76 49191 0.18% MobileSafari/604.1 CFNetwork/901.1 Darwin/17.6.0
77 47917 0.18% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
78 47074 0.17% MobileSafari/604.1 CFNetwork/897.15 Darwin/17.5.0
79 46245 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.13; rv:63.0) Gecko/20100101 Firefox/63.0
80 46056 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
81 45309 0.17% Mozilla/5.0 (X11; Linux x86_64; rv:63.0) Gecko/20100101 Firefox/63.0
82 44887 0.17% 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
83 44120 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.1 Safari/605.1.15
84 43590 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1) AppleWebKit/605.1.15 (KHTML, like Gecko)
85 43205 0.16% Mozilla/5.0 (iPhone; CPU iPhone OS 12_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148 Sa
86 42802 0.16% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.67 Safari/537.36
87 42720 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
88 41785 0.15% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
89 41783 0.15% 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
90 41074 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
91 40753 0.15% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:62.0) Gecko/20100101 Firefox/62.0
92 40322 0.15% Mozilla/5.0 (iPhone; CPU iPhone OS 11_4_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/11.0 Mobile/15E148
93 39068 0.14% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
94 38623 0.14% python-requests/2.18.4
95 38291 0.14% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:61.0) Gecko/20100101 Firefox/61.0
96 37975 0.14% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14) AppleWebKit/605.1.15 (KHTML, like Gecko)
97 36524 0.14% Mozilla/5.0 (X11; Linux x86_64; rv:60.0) Gecko/20100101 Firefox/60.0
98 36165 0.13% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/70.0.3538.77 Chrome/70.0.3538.77 Safar
99 34993 0.13% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36
100 34233 0.13% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36

Usage by Country for November 2018

Top 30 of 236 Total Countries
# Hits Files KBytes Country
1 4880988 18.08% 2790449 14.03% 3622697315 12.00% Commercial (com)
2 3705136 13.72% 2688032 13.52% 2539996539 8.42% Network (net)
3 2956379 10.95% 2341568 11.77% 9366472692 31.04% China
4 1877458 6.95% 1545619 7.77% 1292705573 4.28% United States
5 1682651 6.23% 1460713 7.34% 1844124362 6.11% India
6 881864 3.27% 759419 3.82% 644042661 2.13% Educational (edu)
7 816972 3.03% 735978 3.70% 1534531496 5.08% Indonesia
8 596280 2.21% 500193 2.51% 483628567 1.60% Brazil
9 581802 2.15% 435795 2.19% 305187242 1.01% Korea, Republic of
10 464518 1.72% 349963 1.76% 371538293 1.23% Germany
11 460708 1.71% 345908 1.74% 287899440 0.95% Canada
12 434045 1.61% 351519 1.77% 767092229 2.54% Turkey
13 391049 1.45% 260099 1.31% 275057449 0.91% Japan
14 380720 1.41% 286773 1.44% 227750516 0.75% Italy
15 360579 1.34% 289650 1.46% 189471327 0.63% Russian Federation
16 301438 1.12% 253839 1.28% 198630169 0.66% Poland
17 293623 1.09% 256996 1.29% 350599530 1.16% Unresolved/Unknown
18 291722 1.08% 216682 1.09% 187960660 0.62% France
19 282989 1.05% 230595 1.16% 231711811 0.77% Great Britain (UK)
20 276465 1.02% 234631 1.18% 717816555 2.38% Iran
21 272597 1.01% 235343 1.18% 176349930 0.58% Malaysia
22 271667 1.01% 234705 1.18% 144871719 0.48% United Kingdom
23 269994 1.00% 231722 1.17% 307780209 1.02% Thailand
24 231221 0.86% 202736 1.02% 154914601 0.51% Taiwan
25 225983 0.84% 193424 0.97% 276790278 0.92% Spain
26 221491 0.82% 204441 1.03% 386733083 1.28% Pakistan
27 207435 0.77% 157591 0.79% 71688144 0.24% Mexico
28 158314 0.59% 108791 0.55% 121132671 0.40% Singapore
29 155655 0.58% 134252 0.68% 413397729 1.37% Colombia
30 145118 0.54% 121826 0.61% 78828524 0.26% Ireland

Generated by Webalizer Version 2.23