Usage Statistics for archive.ics.uci.edu

Summary Period: December 2018
Generated 01-Jan-2019 06:33 PST

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

Monthly Statistics for December 2018
Total Hits 35070938
Total Files 16692920
Total Pages 4171286
Total Visits 828972
Total KBytes 23619258937
Total Unique Sites 426569
Total Unique URLs 17461
Total Unique Referrers 28181
Total Unique Usernames 2
Total Unique User Agents 22737
. Avg Max
Hits per Hour 47138 72303
Hits per Day 1131320 1383688
Files per Day 538481 769496
Pages per Day 134557 227569
Sites per Day 13760 30233
Visits per Day 26741 34606
KBytes per Day 761911579 1349736090
Hits by Response Code
Code 200 - OK 47.60% 16692920
Code 206 - Partial Content 0.49% 170609
Code 301 - Moved Permanently 0.09% 32980
Code 302 - Found 0.02% 7879
Code 304 - Not Modified 38.81% 13611926
Code 400 - Bad Request 0.00% 652
Code 403 - Forbidden 0.00% 130
Code 404 - Not Found 12.98% 4551479
Code 405 - Method Not Allowed 0.01% 1921
Code 406 - Not Acceptable 0.00% 4
Code 416 - Requested Range Not Satisfiable 0.00% 338
Code 500 - Internal Server Error 0.00% 96
Code 501 - Not Implemented 0.00% 4

Daily usage for December 2018

Daily Statistics for December 2018
Day Hits Files Pages Visits Sites KBytes
1 1074601 3.06% 492997 2.95% 117197 2.81% 26236 3.16% 21396 5.02% 606601080 2.57%
2 1180786 3.37% 583384 3.49% 131742 3.16% 29784 3.59% 25821 6.05% 536361503 2.27%
3 1383170 3.94% 769496 4.61% 166199 3.98% 34606 4.17% 30233 7.09% 968675245 4.10%
4 1309112 3.73% 704047 4.22% 148676 3.56% 33509 4.04% 29714 6.97% 1349736090 5.71%
5 1336688 3.81% 721275 4.32% 152288 3.65% 33822 4.08% 30021 7.04% 985322969 4.17%
6 1279834 3.65% 672480 4.03% 147457 3.54% 31913 3.85% 28053 6.58% 965772276 4.09%
7 1131288 3.23% 541410 3.24% 127589 3.06% 27018 3.26% 23533 5.52% 817009346 3.46%
8 1054266 3.01% 474807 2.84% 116568 2.79% 25015 3.02% 20746 4.86% 506976701 2.15%
9 1178099 3.36% 583258 3.49% 130863 3.14% 28849 3.48% 24797 5.81% 759109471 3.21%
10 1383688 3.95% 759373 4.55% 146798 3.52% 32175 3.88% 28185 6.61% 1119448676 4.74%
11 1379271 3.93% 756979 4.53% 145967 3.50% 31902 3.85% 28422 6.66% 856589665 3.63%
12 1264618 3.61% 648946 3.89% 139518 3.34% 31315 3.78% 27726 6.50% 1027968937 4.35%
13 1219950 3.48% 611752 3.66% 133196 3.19% 29801 3.59% 26934 6.31% 670823568 2.84%
14 1128376 3.22% 533220 3.19% 139963 3.36% 26222 3.16% 23485 5.51% 782448301 3.31%
15 1032554 2.94% 448809 2.69% 123267 2.96% 23691 2.86% 20129 4.72% 823105328 3.48%
16 1165257 3.32% 564651 3.38% 157337 3.77% 27457 3.31% 23890 5.60% 1000547723 4.24%
17 1272318 3.63% 668636 4.01% 173676 4.16% 30666 3.70% 26713 6.26% 1306101091 5.53%
18 1227098 3.50% 637749 3.82% 175934 4.22% 29708 3.58% 26432 6.20% 690180441 2.92%
19 1295043 3.69% 695407 4.17% 227569 5.46% 30108 3.63% 25775 6.04% 919518158 3.89%
20 1177112 3.36% 584034 3.50% 180634 4.33% 27229 3.28% 23972 5.62% 681149458 2.88%
21 1007523 2.87% 427736 2.56% 125197 3.00% 23238 2.80% 20165 4.73% 838728098 3.55%
22 934904 2.67% 364504 2.18% 115091 2.76% 20809 2.51% 17376 4.07% 579274761 2.45%
23 1026565 2.93% 446925 2.68% 140663 3.37% 22642 2.73% 19768 4.63% 541439158 2.29%
24 956390 2.73% 378368 2.27% 99110 2.38% 22273 2.69% 19467 4.56% 463891069 1.96%
25 981870 2.80% 403279 2.42% 103339 2.48% 22439 2.71% 19364 4.54% 493790030 2.09%
26 1055642 3.01% 464175 2.78% 114432 2.74% 24931 3.01% 21318 5.00% 653694205 2.77%
27 1066587 3.04% 469945 2.82% 120759 2.90% 25069 3.02% 21693 5.09% 897327600 3.80%
28 965472 2.75% 386827 2.32% 105210 2.52% 22122 2.67% 19079 4.47% 571065973 2.42%
29 894192 2.55% 324654 1.94% 94422 2.26% 19748 2.38% 16743 3.93% 375873703 1.59%
30 891839 2.54% 322420 1.93% 91504 2.19% 20258 2.44% 16641 3.90% 331239664 1.40%
31 816825 2.33% 251377 1.51% 79121 1.90% 18154 2.19% 14909 3.50% 499488648 2.11%

Hourly usage for December 2018

Hourly Statistics for December 2018
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 53720 1665320 4.75% 28850 894350 5.36% 6575 203828 4.89% 46117642 1429646915 6.05%
1 52387 1624017 4.63% 27725 859494 5.15% 6239 193411 4.64% 41918759 1299481539 5.50%
2 50985 1580551 4.51% 26356 817051 4.89% 5904 183048 4.39% 35826053 1110607654 4.70%
3 51456 1595140 4.55% 26842 832103 4.98% 6112 189493 4.54% 35210091 1091512824 4.62%
4 52946 1641345 4.68% 27629 856515 5.13% 6396 198295 4.75% 41749902 1294246948 5.48%
5 55005 1705170 4.86% 29089 901767 5.40% 7065 219021 5.25% 46296834 1435201852 6.08%
6 53929 1671821 4.77% 27655 857321 5.14% 6547 202973 4.87% 38648148 1198092584 5.07%
7 51905 1609057 4.59% 25904 803035 4.81% 6099 189094 4.53% 39986895 1239593741 5.25%
8 49979 1549367 4.42% 24286 752871 4.51% 6065 188030 4.51% 28834366 893865339 3.78%
9 47033 1458031 4.16% 21916 679407 4.07% 5552 172117 4.13% 26775524 830041249 3.51%
10 45037 1396169 3.98% 20323 630040 3.77% 5500 170515 4.09% 20206365 626397321 2.65%
11 43517 1349029 3.85% 19111 592469 3.55% 5187 160811 3.86% 27680768 858103807 3.63%
12 41468 1285534 3.67% 17452 541021 3.24% 4857 150583 3.61% 23681207 734117409 3.11%
13 39926 1237717 3.53% 16090 498793 2.99% 4632 143613 3.44% 16548790 513012484 2.17%
14 37289 1155969 3.30% 13758 426522 2.56% 4119 127704 3.06% 20110966 623439954 2.64%
15 36025 1116780 3.18% 12611 390957 2.34% 4096 127005 3.04% 13844714 429186132 1.82%
16 38272 1186452 3.38% 14448 447902 2.68% 4263 132153 3.17% 21427650 664257135 2.81%
17 41801 1295835 3.69% 17545 543908 3.26% 4975 154255 3.70% 22411978 694771308 2.94%
18 46569 1443668 4.12% 21800 675802 4.05% 5776 179057 4.29% 24492735 759274777 3.21%
19 45937 1424068 4.06% 21226 658015 3.94% 5775 179041 4.29% 41158174 1275903387 5.40%
20 44204 1370338 3.91% 19884 616429 3.69% 5363 166254 3.99% 21825102 676578150 2.86%
21 46094 1428940 4.07% 21782 675243 4.05% 5200 161209 3.86% 26595122 824448770 3.49%
22 52050 1613559 4.60% 27328 847198 5.08% 5944 184294 4.42% 41073282 1273271751 5.39%
23 53776 1667061 4.75% 28861 894707 5.36% 6305 195482 4.69% 59490513 1844205905 7.81%

Top 100 of 17461 Total URLs
# Hits KBytes URL
1 12157765 34.67% 43125 0.00% /ml/machine-learning-databases/00422/wifi_localization.txt
2 1547996 4.41% 155893928 0.66% /ml/datasets.html
3 1323740 3.77% 24353001 0.10% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
4 457546 1.30% 5328857 0.02% /ml/
5 182729 0.52% 22121770 0.09% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
6 121963 0.35% 537321 0.00% /ml/machine-learning-databases/iris/iris.data
7 91410 0.26% 7493794 0.03% /ml/machine-learning-databases/wine-quality/winequality-red.csv
8 54099 0.15% 846228 0.00% /ml/datasets.html/datasets.html
9 53744 0.15% 4701896 0.02% /ml/machine-learning-databases/
10 50903 0.15% 155131472 0.66% /ml/machine-learning-databases/adult/adult.data
11 40164 0.11% 419474 0.00% /ml/machine-learning-databases/wine/wine.data
12 39420 0.11% 2806142 0.01% /ml/datasets/Iris
13 32468 0.09% 1318 0.00% /
14 32307 0.09% 50421 0.00% /ml/machine-learning-databases/iris/
15 30358 0.09% 7761280 0.03% /ml/machine-learning-databases/wine-quality/winequality-white.csv
16 27800 0.08% 701611 0.00% /ml/machine-learning-databases/autos/imports-85.data
17 25857 0.07% 103731 0.00% /ml/datasets/favicon.ico
18 24919 0.07% 72603 0.00% /ml/machine-learning-databases/iris/iris.names
19 23715 0.07% 396508 0.00% /ml//datasets.html
20 22283 0.06% 895528 0.00% /ml/datasets/Adult
21 19960 0.06% 173291 0.00% /ml/datasets/Wine+Quality
22 19663 0.06% 34689 0.00% /ml/machine-learning-databases/adult/
23 19252 0.05% 210072 0.00% /ml/datasets/Bank+Marketing
24 18880 0.05% 46205 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
25 18796 0.05% 359526 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
26 18331 0.05% 1311261 0.01% /ml/datasets/iris
27 16538 0.05% 325962 0.00% /ml/datasets/Car+Evaluation
28 16432 0.05% 568183 0.00% /ml/datasets/Wine
29 16431 0.05% 636696 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
30 15729 0.04% 324585 0.00% /ml/datasets.html/datasets/datasets.html
31 15720 0.04% 818120 0.00% /ml/datasets/Heart+Disease
32 13319 0.04% 370202 0.00% /ml/datasets/Abalone
33 12860 0.04% 17362 0.00% /ml/machine-learning-databases/wine/
34 12684 0.04% 134780 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
35 12642 0.04% 17629 0.00% /ml/machine-learning-databases/wine-quality/
36 11866 0.03% 249303076 1.06% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
37 11546 0.03% 200585818 0.85% /ml/machine-learning-databases/00352/Online Retail.xlsx
38 11513 0.03% 15731 0.00% /ml/machine-learning-databases/car/
39 10846 0.03% 46405 0.00% /ml/machine-learning-databases/heart-disease/
40 10461 0.03% 100444 0.00% /ml/datasets/default+of+credit+card+clients
41 10388 0.03% 516708 0.00% /ml/machine-learning-databases/car/car.data
42 10293 0.03% 1859028 0.01% /ml/machine-learning-databases/abalone/abalone.data
43 10164 0.03% 297515 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
44 9858 0.03% 16801254 0.07% /ml/machine-learning-databases/adult/adult.test
45 9738 0.03% 11061 0.00% /ml/machine-learning-databases/00222/
46 9642 0.03% 458147 0.00% /ml/machine-learning-databases/housing/housing.data
47 9419 0.03% 102741 0.00% /ml/datasets/Student+Performance
48 9366 0.03% 110057 0.00% /ml/datasets/Absenteeism+at+work
49 8903 0.03% 86742 0.00% /ml/datasets/Forest+Fires
50 8243 0.02% 11154343 0.05% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
51 8019 0.02% 11032 0.00% /ml/machine-learning-databases/abalone/
52 8004 0.02% 82947 0.00% /ml/datasets/Bike+Sharing+Dataset
53 7956 0.02% 272309 0.00% /ml/machine-learning-databases/00312/dow_jones_index.zip
54 7866 0.02% 39425 0.00% /ml/machine-learning-databases/adult/adult.names
55 7696 0.02% 33908 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
56 7623 0.02% 647878 0.00% /ml/machine-learning-databases/undocumented/connectionist-bench/sonar/sonar.all-data
57 7615 0.02% 60143 0.00% /ml/datasets/Student+Academics+Performance
58 7612 0.02% 411122 0.00% /ml/machine-learning-databases/00000/
59 7398 0.02% 132508 0.00% /ml/machine-learning-databases/heart-disease/processed.cleveland.data
60 7390 0.02% 68004 0.00% /ml/datasets/Poker+Hand
61 7346 0.02% 2524673 0.01% /ml/machine-learning-databases/mushroom/agaricus-lepiota.data
62 7272 0.02% 21360 0.00% /ml/machine-learning-databases/wine/wine.names
63 7108 0.02% 220804 0.00% /ml/machine-learning-databases/credit-screening/crx.data
64 7021 0.02% 57411 0.00% /ml/datasets/Online+Retail
65 6964 0.02% 110632 0.00% /ml/datasets/Auto+MPG
66 6814 0.02% 407862963 1.73% /ml/machine-learning-databases/00480/Measurements_Upload_Smaller.zip
67 6785 0.02% 460880 0.00% /ml/datasets/Breast+Cancer
68 6783 0.02% 124107754 0.53% /ml/machine-learning-databases/00462/drugsCom_raw.zip
69 6743 0.02% 72166 0.00% /ml/datasets/bank+marketing
70 6628 0.02% 67931 0.00% /ml/datasets/Air+Quality
71 6509 0.02% 3148636 0.01% /ml/machine-learning-databases/00222/bank.zip
72 6485 0.02% 3019219353 12.78% /ml/machine-learning-databases/00280/HIGGS.csv.gz
73 6442 0.02% 79526 0.00% /ml/datasets/Automobile
74 6364 0.02% 251221 0.00% /ml/datasets/Mushroom
75 6158 0.02% 86074388 0.36% /ml/machine-learning-databases/00463/XOR_Arbiter_PUFs.zip
76 6073 0.02% 51151 0.00% /ml/datasets/seeds
77 6054 0.02% 3303217 0.01% /ml/machine-learning-databases/optdigits/optdigits.tra
78 5976 0.02% 53529 0.00% /ml/datasets/Parkinson's+Disease+Classification
79 5946 0.02% 50587 0.00% /ml/datasets/Energy+efficiency
80 5925 0.02% 51458 0.00% /ml/datasets/Drug+Review+Dataset+(Drugs.com)
81 5924 0.02% 139338 0.00% /ml/datasets/Census+Income
82 5906 0.02% 217004 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
83 5852 0.02% 153729 0.00% /ml/datasets.html/datasets/datasets/datasets.html
84 5536 0.02% 90381 0.00% /ml/datasets/Statlog+(German+Credit+Data)
85 5477 0.02% 8813 0.00% /ml/machine-learning-databases/mushroom/
86 5440 0.02% 187776 0.00% /ml/datasets/wine
87 5436 0.02% 17320 0.00% /ml/machine-learning-databases/wine-quality/winequality.names
88 5368 0.02% 46093 0.00% /ml/datasets/wine+quality
89 5332 0.02% 39725 0.00% /ml/datasets/Beijing+PM2.5+Data
90 5332 0.02% 66502 0.00% /ml/datasets/Online+News+Popularity
91 5200 0.01% 8284 0.00% /ml/machine-learning-databases/auto-mpg/
92 5182 0.01% 28223 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.names
93 5073 0.01% 53355 0.00% /ml/datasets/student+performance
94 5046 0.01% 7906 0.00% /ml/machine-learning-databases/autos/
95 4974 0.01% 19538 0.00% /ml/datasets/Housing
96 4973 0.01% 477691596 2.02% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
97 4960 0.01% 37162 0.00% /ml/datasets/banknote+authentication
98 4908 0.01% 194893 0.00% /ml/datasets/adult
99 4883 0.01% 41430 0.00% /ml/datasets/Wholesale+customers
100 4879 0.01% 29557 0.00% /ml/machine-learning-databases/balance-scale/balance-scale.data

Top 100 of 17461 Total URLs By KBytes
# Hits KBytes URL
1 206 0.00% 4854142486 20.55% /ml/machine-learning-databases/00439/peak-detection-data.tar.xz
2 6485 0.02% 3019219353 12.78% /ml/machine-learning-databases/00280/HIGGS.csv.gz
3 2139 0.01% 2733175865 11.57% /ml/machine-learning-databases/00340/data.zip
4 1994 0.01% 1750543160 7.41% /ml/machine-learning-databases/00269/dir_data.tar
5 438 0.00% 1452256946 6.15% /ml/machine-learning-databases/00460/fullData.anonymous.tar.bz2
6 1482 0.00% 705255674 2.99% /ml/machine-learning-databases/00251/WTD_upload.zip
7 686 0.00% 482001025 2.04% /ml/machine-learning-databases/00455/Tests.rar
8 4973 0.01% 477691596 2.02% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
9 263 0.00% 415366793 1.76% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
10 6814 0.02% 407862963 1.73% /ml/machine-learning-databases/00480/Measurements_Upload_Smaller.zip
11 2060 0.01% 393675218 1.67% /ml/machine-learning-databases/00456/multimodal-deep-learning-disaster-response-mouzannar.zip
12 619 0.00% 345281306 1.46% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
13 68 0.00% 321356240 1.36% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
14 926 0.00% 312268448 1.32% /ml/machine-learning-databases/00344/Activity recognition exp.zip
15 799 0.00% 291768250 1.24% /ml/machine-learning-databases/00279/SUSY.csv.gz
16 11866 0.03% 249303076 1.06% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
17 1779 0.01% 238695729 1.01% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
18 181 0.00% 219089641 0.93% /ml/machine-learning-databases/00347/all_train.csv.gz
19 11546 0.03% 200585818 0.85% /ml/machine-learning-databases/00352/Online Retail.xlsx
20 3196 0.01% 191786064 0.81% /ml/machine-learning-databases/00256/data.zip
21 1610 0.00% 178549256 0.76% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
22 1668 0.00% 162935433 0.69% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
23 1547996 4.41% 155893928 0.66% /ml/datasets.html
24 50903 0.15% 155131472 0.66% /ml/machine-learning-databases/adult/adult.data
25 4 0.00% 145585635 0.62% /ml//machine-learning-databases/00439/peak-detection-data.tar.xz
26 710 0.00% 139229312 0.59% /ml/machine-learning-databases/00339/train.csv.zip
27 427 0.00% 126901525 0.54% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
28 1263 0.00% 125482822 0.53% /ml/machine-learning-databases/00322/data.zip
29 6783 0.02% 124107754 0.53% /ml/machine-learning-databases/00462/drugsCom_raw.zip
30 609 0.00% 122631382 0.52% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
31 198 0.00% 119867411 0.51% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
32 823 0.00% 119083488 0.50% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
33 603 0.00% 116181714 0.49% /ml/machine-learning-databases/00318/NoisyOffice.zip
34 112 0.00% 108895676 0.46% /ml/machine-learning-databases/00347/1000_train.csv.gz
35 628 0.00% 103499059 0.44% /ml/machine-learning-databases/p53/p53_old_2010.zip
36 3597 0.01% 92298302 0.39% /ml/machine-learning-databases/00288/leaf.zip
37 6158 0.02% 86074388 0.36% /ml/machine-learning-databases/00463/XOR_Arbiter_PUFs.zip
38 1374 0.00% 82866557 0.35% /ml/machine-learning-databases/00417/fonts.zip
39 525 0.00% 71452574 0.30% /ml/machine-learning-databases/p53/p53_new_2012.zip
40 93 0.00% 69218495 0.29% /ml/machine-learning-databases/00385/de.tar.bz2
41 3614 0.01% 64896186 0.27% /ml/machine-learning-databases/poker/poker-hand-testing.data
42 1014 0.00% 55383357 0.23% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
43 1483 0.00% 55244348 0.23% /ml/machine-learning-databases/00401/TCGA-PANCAN-HiSeq-801x20531.tar.gz
44 70 0.00% 55157223 0.23% /ml/machine-learning-databases/00347/1000_test.csv.gz
45 2086 0.01% 51982914 0.22% /ml/machine-learning-databases/00447/data.zip
46 1541 0.00% 51608589 0.22% /ml/machine-learning-databases/00210/donation.zip
47 36 0.00% 47884429 0.20% /ml/machine-learning-databases/00347/not1000_train.csv.gz
48 2099 0.01% 46429664 0.20% /ml/machine-learning-databases/00341/HAPT Data Set.zip
49 4352 0.01% 45754986 0.19% /ml/machine-learning-databases/00235/household_power_consumption.zip
50 67 0.00% 43319165 0.18% /ml/machine-learning-databases/00347/all_test.csv.gz
51 915 0.00% 41946874 0.18% /ml/machine-learning-databases/00204/PEMS-SF.zip
52 165 0.00% 40619939 0.17% /ml/machine-learning-databases/00306/dataset_segmentation.rar
53 365 0.00% 37542890 0.16% /ml/machine-learning-databases/00361/data1.zip
54 462 0.00% 35576267 0.15% /ml/machine-learning-databases/url/url_svmlight.tar.gz
55 528 0.00% 34471201 0.15% /ml/machine-learning-databases/00268/Data.zip
56 1032 0.00% 30917708 0.13% /ml/machine-learning-databases/00371/NIPS_1987-2015.csv
57 1167 0.00% 30844851 0.13% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
58 1390 0.00% 30427373 0.13% /ml/machine-learning-databases/00239/corpus.zip
59 277 0.00% 29672973 0.13% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
60 861 0.00% 29568131 0.13% /ml/machine-learning-databases/00454/dataset.zip
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Top 10 of 4575 Total Exit Pages
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24 7 0.56% pima indians diabetes data set site:archive.ics.uci.edu/ml
25 6 0.48% dataset
26 6 0.48% finance site:archive.ics.uci.edu/ml
27 6 0.48% hepatitis site:archive.ics.uci.edu/ml
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29 6 0.48% https://archive.ics.uci.edu/ml/datasets/car evaluation
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35 5 0.40% https://archive.ics.uci.edu/ml/datasets/online video characteristics and transcoding time dataset
36 5 0.40% https://archive.ics.uci.edu/ml/datasets/zoo
37 5 0.40% online site:archive.ics.uci.edu/ml
38 4 0.32% content
39 4 0.32% dna dataset uci
40 4 0.32% https://archive.ics.uci.edu/ml/datasets/dermatology
41 4 0.32% https://archive.ics.uci.edu/ml/datasets/diabetes 130-us hospitals for years 1999-2008
42 4 0.32% https://archive.ics.uci.edu/ml/datasets/educational process mining %28epm%29%3a a learning analytics data set
43 4 0.32% https://archive.ics.uci.edu/ml/datasets/news aggregator
44 4 0.32% https://archive.ics.uci.edu/ml/datasets/vertebral column
45 4 0.32% https://archive.ics.uci.edu/ml/datasets/wine
46 4 0.32% https://archive.ics.uci.edu/ml/machine-learning-databases/iris/
47 4 0.32% masoud vazifeh kh.: https://archive.ics.uci.e d u/ml/datasets/emg physical action data set
48 4 0.32% sponge
49 4 0.32% uci datasets
50 4 0.32% uci machine learning
51 3 0.24% data set uci
52 3 0.24% deep learning banknotes
53 3 0.24% eeg dataset
54 3 0.24% eog
55 3 0.24% german credit xlstat
56 3 0.24% housing site:archive.ics.uci.edu/ml
57 3 0.24% http://archive.ics.uci.edu/ml/index.php
58 3 0.24% https://archive.ics.uci.edu/ml/datasets/air quality
59 3 0.24% https://archive.ics.uci.edu/ml/datasets/air quality#
60 3 0.24% https://archive.ics.uci.edu/ml/datasets/airfoil self-noise
61 3 0.24% https://archive.ics.uci.edu/ml/datasets/auto mpg
62 3 0.24% https://archive.ics.uci.edu/ml/datasets/bach choral harmony
63 3 0.24% https://archive.ics.uci.edu/ml/datasets/bag of words
64 3 0.24% https://archive.ics.uci.edu/ml/datasets/epileptic seizure recognition
65 3 0.24% https://archive.ics.uci.edu/ml/datasets/facebook metrics
66 3 0.24% https://archive.ics.uci.edu/ml/datasets/individual household electric power consumption
67 3 0.24% https://archive.ics.uci.edu/ml/datasets/news popularity in multiple social media platforms
68 3 0.24% https://archive.ics.uci.edu/ml/datasets/online retail
69 3 0.24% https://archive.ics.uci.edu/ml/datasets/parkinson%27s disease classification
70 3 0.24% https://archive.ics.uci.edu/ml/datasets/pems-sf
71 3 0.24% https://archive.ics.uci.edu/ml/datasets/record linkage comparison patterns
72 3 0.24% https://archive.ics.uci.edu/ml/datasets/spambase
73 3 0.24% https://archive.ics.uci.edu/ml/datasets/thoracic surgery data
74 3 0.24% https://archive.ics.uci.edu/ml/datasets/tic-tac-toe endgame
75 3 0.24% https://archive.ics.uci.edu/ml/datasets/twenty newsgroups
76 3 0.24% https://archive.ics.uci.edu/ml/machine-learning-databases/
77 3 0.24% https://archive.ics.uci.edu/ml/machine-learning-databases/00222/
78 3 0.24% https://archive.ics.uci.edu/ml/machine-learning-databases/diabetes/
79 3 0.24% kidney site:archive.ics.uci.edu/ml
80 3 0.24% lite
81 3 0.24% medical datasets site:archive.ics.uci.edu/ml
82 3 0.24% pima site:archive.ics.uci.edu/ml site:ics.uci.edu
83 3 0.24% uci census-income.data
84 3 0.24% uci data set in healthcare
85 3 0.24% uci dataset parkinson's disease
86 3 0.24% uci ml repository banana
87 3 0.24% ucidatasite
88 2 0.16% adult dataset
89 2 0.16% archive.ics.uci.edu/ml/datasets/diabetes
90 2 0.16% archive.ics.uci.edu/ml/datasets/scholarship student
91 2 0.16% audio features dataset
92 2 0.16% autism data sets
93 2 0.16% breast cancer uci
94 2 0.16% cervical cancer dataset
95 2 0.16% chess and mushroom site:archive.ics.uci.edu/ml
96 2 0.16% chronic kidney disease uci dataset
97 2 0.16% dataset for dna site:archive.ics.uci.edu/ml
98 2 0.16% flags
99 2 0.16% glass site:archive.ics.uci.edu/ml
100 2 0.16% heart disease dataset

Top 2 of 2 Total Usernames
# Hits Files KBytes Visits Username
1 31 0.00% 31 0.00% 2 0.00% 31 0.00% ads
2 1 0.00% 1 0.00% 387 0.00% 1 0.00% rpatel358

Top 100 of 22737 Total User Agents
# Hits User Agent
1 13480404 38.44% Apache-HttpClient/4.5.5 (Java/1.8.0_141)
2 2387942 6.81% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
3 1623719 4.63% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
4 1093103 3.12% MobileSafari/604.1 CFNetwork/975.0.3 Darwin/18.2.0
5 640728 1.83% 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
6 579062 1.65% MobileSafari/604.1 CFNetwork/976 Darwin/18.2.0
7 462041 1.32% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:63.0) Gecko/20100101 Firefox/63.0
8 441788 1.26% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
9 352022 1.00% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.80 Safari/537.36
10 323716 0.92% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:64.0) Gecko/20100101 Firefox/64.0
11 320921 0.92% Safari/14606.2.104.1.1 CFNetwork/975.0.3 Darwin/18.2.0 (x86_64)
12 306866 0.87% Python-urllib/3.6
13 300825 0.86% MobileSafari/604.1 CFNetwork/974.2.1 Darwin/18.0.0
14 300814 0.86% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
15 291109 0.83% Mozilla/5.0 (compatible; SemrushBot/3~bl; +http://www.semrush.com/bot.html)
16 266614 0.76% Arachni/v1.5.1
17 233721 0.67% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
18 225307 0.64% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:63.0) Gecko/20100101 Firefox/63.0
19 222687 0.63% Safari/14606.3.4 CFNetwork/976 Darwin/18.2.0 (x86_64)
20 216392 0.62% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
21 181037 0.52% 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
22 174977 0.50% 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
23 172675 0.49% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
24 170955 0.49% 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
25 158186 0.45% Mozilla/5.0 (compatible; SemrushBot/2~bl; +http://www.semrush.com/bot.html)
26 146509 0.42% Safari/14606.1.36.1.9 CFNetwork/974.1 Darwin/18.0.0 (x86_64)
27 141216 0.40% MobileSafari/604.1 CFNetwork/902.2 Darwin/17.7.0
28 128462 0.37% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
29 125248 0.36% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:64.0) Gecko/20100101 Firefox/64.0
30 124473 0.35% PiplBot (+http://www.pipl.com/bot/)
31 122477 0.35% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
32 120497 0.34% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
33 113160 0.32% 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
34 112194 0.32% Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:63.0) Gecko/20100101 Firefox/63.0
35 107047 0.31% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
36 105284 0.30% CyotekWebCopy/1.6 CyotekHTTP/2.0
37 103643 0.30% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
38 93908 0.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Safari/605.1.15
39 93603 0.27% Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)
40 93032 0.27% 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.
41 88908 0.25% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
42 88628 0.25% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
43 88208 0.25% 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
44 84253 0.24% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
45 82253 0.23% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
46 81256 0.23% Python-urllib/3.7
47 80007 0.23% Safari/13606.3.4.1.4 CFNetwork/902.3.1 Darwin/17.7.0 (x86_64)
48 75118 0.21% Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:64.0) Gecko/20100101 Firefox/64.0
49 74682 0.21% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
50 74035 0.21% 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
51 72968 0.21% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
52 71965 0.21% 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
53 65856 0.19% Python-urllib/2.7
54 64133 0.18% python-requests/2.20.0
55 62734 0.18% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
56 62289 0.18% 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)
57 61047 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
58 59535 0.17% 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
59 58773 0.17% Python-urllib/3.5
60 58127 0.17% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
61 57711 0.16% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.80 Safari/537.36
62 57302 0.16% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
63 53164 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
64 52208 0.15% 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
65 51362 0.15% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36
66 50987 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
67 49464 0.14% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
68 49092 0.14% 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
69 48401 0.14% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.26 Safari/537.36 Core/1.63.6788.
70 47512 0.14% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
71 47378 0.14% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
72 46715 0.13% Safari/13606.2.104.1.2 CFNetwork/902.3.1 Darwin/17.7.0 (x86_64)
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76 42306 0.12% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.80 Safari/537.36
77 41797 0.12% 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.
78 41476 0.12% MobileSafari/604.1 CFNetwork/897.15 Darwin/17.5.0
79 41158 0.12% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1) AppleWebKit/605.1.15 (KHTML, like Gecko)
80 38011 0.11% 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
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82 36171 0.10% 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
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85 35236 0.10% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36
86 34069 0.10% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:63.0) Gecko/20100101 Firefox/63.0
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88 32574 0.09% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36
89 32098 0.09% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36
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92 31796 0.09% 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
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95 29616 0.08% faviconkit/1.0 (https://faviconkit.com)
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100 28740 0.08% Mozilla/5.0 (iPhone; CPU iPhone OS 12_1_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148

Usage by Country for December 2018

Top 30 of 230 Total Countries
# Hits Files KBytes Country
1 16059463 45.79% 2053578 12.30% 2721390114 11.52% Commercial (com)
2 3290836 9.38% 2637339 15.80% 6958719837 29.46% China
3 2796779 7.97% 1800026 10.78% 1793824610 7.59% Network (net)
4 1770606 5.05% 1537616 9.21% 1381675052 5.85% India
5 1020492 2.91% 753668 4.51% 765244724 3.24% United States
6 662243 1.89% 599321 3.59% 1001625488 4.24% Indonesia
7 636093 1.81% 530627 3.18% 1025901625 4.34% Turkey
8 617695 1.76% 548321 3.28% 395054639 1.67% Educational (edu)
9 541586 1.54% 400648 2.40% 216512836 0.92% Japan
10 452216 1.29% 343990 2.06% 219129067 0.93% Germany
11 412762 1.18% 277505 1.66% 187088620 0.79% Korea, Republic of
12 403754 1.15% 334228 2.00% 221997550 0.94% Russian Federation
13 352590 1.01% 276420 1.66% 153006436 0.65% Brazil
14 312260 0.89% 230656 1.38% 204610706 0.87% Italy
15 300887 0.86% 264180 1.58% 322954151 1.37% Unresolved/Unknown
16 296456 0.85% 195010 1.17% 167589322 0.71% Canada
17 289164 0.82% 244733 1.47% 314223998 1.33% Poland
18 281277 0.80% 240054 1.44% 746087453 3.16% Iran
19 246920 0.70% 173878 1.04% 134347162 0.57% France
20 226236 0.65% 207480 1.24% 220900507 0.94% Viet Nam
21 225598 0.64% 208627 1.25% 523331891 2.22% Pakistan
22 223107 0.64% 197238 1.18% 251554747 1.07% Taiwan
23 216218 0.62% 183192 1.10% 211508278 0.90% Malaysia
24 167191 0.48% 119052 0.71% 209112955 0.89% Great Britain (UK)
25 151690 0.43% 127594 0.76% 317562361 1.34% Spain
26 148245 0.42% 116836 0.70% 83549292 0.35% Thailand
27 121998 0.35% 81590 0.49% 101776039 0.43% Australia
28 119358 0.34% 89460 0.54% 103166454 0.44% Greece
29 118766 0.34% 73752 0.44% 20171843 0.09% Mexico
30 113833 0.32% 68512 0.41% 91460975 0.39% Singapore

Generated by Webalizer Version 2.23