Usage Statistics for archive.ics.uci.edu

Summary Period: January 2018
Generated 01-Feb-2018 06:37 PST

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

Monthly Statistics for January 2018
Total Hits 22793430
Total Files 18249278
Total Pages 7075138
Total Visits 658485
Total KBytes 19935955411
Total Unique Sites 351619
Total Unique URLs 12728
Total Unique Referrers 24258
Total Unique Usernames 1
Total Unique User Agents 18942
. Avg Max
Hits per Hour 30636 125347
Hits per Day 735271 970748
Files per Day 588686 804917
Pages per Day 228230 331716
Sites per Day 11342 23138
Visits per Day 21241 25207
KBytes per Day 643095336 1082039201
Hits by Response Code
Code 200 - OK 80.06% 18249278
Code 206 - Partial Content 5.96% 1357368
Code 301 - Moved Permanently 0.13% 28687
Code 302 - Found 0.03% 7245
Code 304 - Not Modified 0.68% 155522
Code 400 - Bad Request 0.00% 481
Code 403 - Forbidden 0.00% 587
Code 404 - Not Found 13.12% 2989849
Code 405 - Method Not Allowed 0.01% 2209
Code 406 - Not Acceptable 0.00% 2
Code 416 - Requested Range Not Satisfiable 0.01% 1752
Code 500 - Internal Server Error 0.00% 450

Daily usage for January 2018

Daily Statistics for January 2018
Day Hits Files Pages Visits Sites KBytes
1 548609 2.41% 456770 2.50% 221514 3.13% 16673 2.53% 15652 4.45% 688548040 3.45%
2 664736 2.92% 557439 3.05% 224562 3.17% 20793 3.16% 18935 5.39% 1000359167 5.02%
3 871489 3.82% 633511 3.47% 295218 4.17% 21357 3.24% 19022 5.41% 768835547 3.86%
4 828186 3.63% 493353 2.70% 156492 2.21% 21047 3.20% 19442 5.53% 1020566519 5.12%
5 588125 2.58% 433313 2.37% 155780 2.20% 18700 2.84% 16842 4.79% 926293545 4.65%
6 548759 2.41% 451647 2.47% 211023 2.98% 16858 2.56% 14642 4.16% 344653327 1.73%
7 606818 2.66% 488714 2.68% 196562 2.78% 19214 2.92% 17204 4.89% 571834042 2.87%
8 785579 3.45% 602731 3.30% 218546 3.09% 22721 3.45% 20652 5.87% 579350872 2.91%
9 713496 3.13% 601178 3.29% 212490 3.00% 23189 3.52% 21029 5.98% 871461608 4.37%
10 798300 3.50% 653840 3.58% 255858 3.62% 23407 3.55% 20995 5.97% 1004167111 5.04%
11 804757 3.53% 591452 3.24% 208006 2.94% 22383 3.40% 20041 5.70% 667426937 3.35%
12 750354 3.29% 515088 2.82% 203212 2.87% 19172 2.91% 17243 4.90% 468010320 2.35%
13 625702 2.75% 397656 2.18% 157046 2.22% 16722 2.54% 14753 4.20% 377604778 1.89%
14 727070 3.19% 543884 2.98% 246325 3.48% 19241 2.92% 17389 4.95% 538264822 2.70%
15 713398 3.13% 602207 3.30% 212842 3.01% 22246 3.38% 20518 5.84% 1082039201 5.43%
16 722223 3.17% 610480 3.35% 188624 2.67% 23297 3.54% 21518 6.12% 390095463 1.96%
17 756464 3.32% 641531 3.52% 205851 2.91% 24104 3.66% 22077 6.28% 562939282 2.82%
18 706130 3.10% 593594 3.25% 155777 2.20% 22989 3.49% 21108 6.00% 751407658 3.77%
19 527246 2.31% 428474 2.35% 116943 1.65% 19442 2.95% 18112 5.15% 558846625 2.80%
20 558780 2.45% 467274 2.56% 193375 2.73% 17281 2.62% 15364 4.37% 396463950 1.99%
21 640687 2.81% 537365 2.94% 207142 2.93% 19906 3.02% 18086 5.14% 574728029 2.88%
22 837305 3.67% 719275 3.94% 275295 3.89% 24562 3.73% 21935 6.24% 787978351 3.95%
23 870285 3.82% 752741 4.12% 284017 4.01% 24610 3.74% 22640 6.44% 632144265 3.17%
24 775101 3.40% 662020 3.63% 220424 3.12% 24499 3.72% 22105 6.29% 610711870 3.06%
25 797354 3.50% 687601 3.77% 310271 4.39% 22477 3.41% 20999 5.97% 530650197 2.66%
26 970748 4.26% 633977 3.47% 309012 4.37% 20177 3.06% 18693 5.32% 668198284 3.35%
27 675712 2.96% 576919 3.16% 289181 4.09% 18517 2.81% 16301 4.64% 331962403 1.67%
28 773477 3.39% 664691 3.64% 313373 4.43% 21064 3.20% 19062 5.42% 325282772 1.63%
29 849485 3.73% 730370 4.00% 237381 3.36% 25207 3.83% 23138 6.58% 568145314 2.85%
30 924964 4.06% 804917 4.41% 331716 4.69% 24928 3.79% 22574 6.42% 768204495 3.85%
31 832091 3.65% 715266 3.92% 261280 3.69% 24684 3.75% 22201 6.31% 568780617 2.85%

Hourly usage for January 2018

Hourly Statistics for January 2018
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 35391 1097125 4.81% 29086 901679 4.94% 10050 311568 4.40% 49242611 1526520941 7.66%
1 34688 1075343 4.72% 28651 888187 4.87% 10114 313558 4.43% 38161831 1183016764 5.93%
2 32293 1001107 4.39% 26674 826916 4.53% 9769 302858 4.28% 23967609 742995875 3.73%
3 31976 991257 4.35% 25659 795459 4.36% 9862 305751 4.32% 34787252 1078404800 5.41%
4 32831 1017778 4.47% 26312 815679 4.47% 9683 300178 4.24% 25345853 785721457 3.94%
5 35808 1110051 4.87% 29259 907047 4.97% 10700 331728 4.69% 33417678 1035948028 5.20%
6 36822 1141487 5.01% 29066 901066 4.94% 10316 319821 4.52% 41659007 1291429213 6.48%
7 37468 1161521 5.10% 28049 869525 4.76% 10242 317507 4.49% 31657252 981374797 4.92%
8 34301 1063356 4.67% 27304 846436 4.64% 10275 318534 4.50% 28348330 878798235 4.41%
9 31693 982489 4.31% 25390 787096 4.31% 9610 297917 4.21% 23079245 715456597 3.59%
10 31974 991195 4.35% 24205 750377 4.11% 9546 295946 4.18% 23246148 720630594 3.61%
11 29991 929745 4.08% 23068 715135 3.92% 9500 294518 4.16% 19933305 617932446 3.10%
12 27135 841199 3.69% 21521 667165 3.66% 8994 278815 3.94% 13074728 405316571 2.03%
13 26101 809142 3.55% 20852 646420 3.54% 9071 281207 3.97% 14478908 448846136 2.25%
14 23291 722035 3.17% 18821 583478 3.20% 8558 265310 3.75% 17021793 527675585 2.65%
15 21240 658467 2.89% 16933 524947 2.88% 8067 250102 3.53% 17582698 545063648 2.73%
16 21499 666494 2.92% 17259 535040 2.93% 8264 256185 3.62% 14635687 453706310 2.28%
17 25437 788558 3.46% 20531 636467 3.49% 8847 274283 3.88% 19742370 612013460 3.07%
18 28396 880292 3.86% 23119 716711 3.93% 9337 289468 4.09% 25621137 794255238 3.98%
19 29896 926777 4.07% 23485 728048 3.99% 9314 288763 4.08% 24713892 766130663 3.84%
20 29807 924021 4.05% 23011 713369 3.91% 9269 287339 4.06% 30385939 941964104 4.72%
21 29981 929428 4.08% 24589 762276 4.18% 9033 280047 3.96% 23390998 725120931 3.64%
22 33791 1047549 4.60% 28049 869537 4.76% 10040 311260 4.40% 25646851 795052376 3.99%
23 33452 1037014 4.55% 27781 861218 4.72% 9757 302475 4.28% 43954214 1362580642 6.83%

Top 100 of 12728 Total URLs
# Hits KBytes URL
1 4093490 17.96% 148883880 0.75% /ml/datasets.html
2 615028 2.70% 757984480 3.80% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
3 575642 2.53% 7167629 0.04% /ml/datasets.html/datasets.html
4 440006 1.93% 4809156 0.02% /ml/
5 256958 1.13% 2150579758 10.79% /ml/machine-learning-databases/00280/HIGGS.csv.gz
6 183731 0.81% 1132907118 5.68% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
7 137587 0.60% 606636 0.00% /ml/machine-learning-databases/iris/iris.data
8 119374 0.52% 105208905 0.53% /ml/machine-learning-databases/00239/corpus.zip
9 113500 0.50% 1485637 0.01% /ml//datasets.html
10 66464 0.29% 5201979 0.03% /ml/machine-learning-databases/
11 65527 0.29% 7923519 0.04% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
12 52341 0.23% 190953323 0.96% /ml/machine-learning-databases/adult/adult.data
13 52099 0.23% 731277 0.00% /ml/datasets.html/datasets/datasets.html
14 47370 0.21% 3874620 0.02% /ml/machine-learning-databases/wine-quality/winequality-red.csv
15 45416 0.20% 2091 0.00% /
16 42828 0.19% 10986314 0.06% /ml/machine-learning-databases/wine-quality/winequality-white.csv
17 39335 0.17% 743864154 3.73% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
18 37537 0.16% 845425 0.00% /ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data
19 35476 0.16% 2548737 0.01% /ml/datasets/Iris
20 34300 0.15% 359454 0.00% /ml/machine-learning-databases/wine/wine.data
21 28052 0.12% 43742 0.00% /ml/machine-learning-databases/iris/
22 20882 0.09% 39440283 0.20% /ml/machine-learning-databases/adult/adult.test
23 20148 0.09% 806779 0.00% /ml/datasets/Adult
24 18597 0.08% 231651 0.00% /ml/datasets.html/statlog/datasets/datasets/datasets/datasets/datasets.html
25 18456 0.08% 4302535543 21.58% /ml/machine-learning-databases/00340/data.zip
26 17672 0.08% 179380169 0.90% /ml/machine-learning-databases/00318/NoisyOffice.zip
27 17073 0.07% 327145 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
28 16206 0.07% 39775 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
29 15951 0.07% 28030 0.00% /ml/machine-learning-databases/adult/
30 15774 0.07% 789620 0.00% /ml/machine-learning-databases/car/car.data
31 14519 0.06% 504448 0.00% /ml/datasets/Wine
32 14452 0.06% 280602 0.00% /ml/datasets/Car+Evaluation
33 14355 0.06% 157464 0.00% /ml/datasets/Bank+Marketing
34 14187 0.06% 553368 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
35 13940 0.06% 1003075 0.01% /ml/datasets/iris
36 13860 0.06% 120496 0.00% /ml/datasets/Wine+Quality
37 12975 0.06% 618502 0.00% /ml/machine-learning-databases/housing/housing.data
38 11696 0.05% 597457 0.00% /ml/datasets/Heart+Disease
39 11398 0.05% 33024 0.00% /ml/machine-learning-databases/iris/iris.names
40 11361 0.05% 120884 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
41 11314 0.05% 140135 0.00% /ml/datasets.html/statlog/datasets/datasets.html
42 10709 0.05% 298316 0.00% /ml/datasets/Abalone
43 10030 0.04% 0 0.00% /ml/machine-learning-databases/kddcup98-mld/epsilon_mirror/testing.txt
44 10001 0.04% 94117 0.00% /ml/datasets/default+of+credit+card+clients
45 9962 0.04% 13479 0.00% /ml/machine-learning-databases/wine/
46 9734 0.04% 282229 0.00% /ml/datasets/Pima+Indians+Diabetes
47 9719 0.04% 15964 0.00% /ml/machine-learning-databases/pima-indians-diabetes/
48 9688 0.04% 5279054 0.03% /ml/machine-learning-databases/optdigits/optdigits.tra
49 9485 0.04% 1713083 0.01% /ml/machine-learning-databases/abalone/abalone.data
50 9185 0.04% 12512 0.00% /ml/machine-learning-databases/car/
51 9179 0.04% 779937 0.00% /ml/machine-learning-databases/undocumented/connectionist-bench/sonar/sonar.all-data
52 9007 0.04% 192442 0.00% /ml/datasets.html/datasets/datasets/datasets.html
53 8452 0.04% 140520410 0.70% /ml/machine-learning-databases/00352/Online Retail.xlsx
54 8281 0.04% 11449 0.00% /ml/machine-learning-databases/wine-quality/
55 8175 0.04% 34994 0.00% /ml/machine-learning-databases/heart-disease/
56 8020 0.04% 35161 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
57 7922 0.03% 82704973 0.41% /ml/machine-learning-databases/00417/fonts.zip
58 7870 0.03% 230354 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
59 7743 0.03% 98365 0.00% /ml/datasets.html/datasets/datasets/datasets/datasets/datasets.html
60 7717 0.03% 30013 0.00% /ml/datasets/Housing
61 7590 0.03% 84249 0.00% /ml/datasets/Student+Performance
62 7206 0.03% 36012 0.00% /ml/machine-learning-databases/adult/adult.names
63 7071 0.03% 177436 0.00% /ml/machine-learning-databases/autos/imports-85.data
64 6955 0.03% 9494302 0.05% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
65 6938 0.03% 64043 0.00% /ml/datasets/Poker+Hand
66 6870 0.03% 2442598 0.01% /ml/machine-learning-databases/mushroom/agaricus-lepiota.data
67 6798 0.03% 70471 0.00% /ml/datasets/Bike+Sharing+Dataset
68 6755 0.03% 8076 0.00% /ml/machine-learning-databases/00222/
69 6606 0.03% 64803 0.00% /ml/datasets/Forest+Fires
70 6572 0.03% 203617 0.00% /ml/machine-learning-databases/credit-screening/crx.data
71 6547 0.03% 6400 0.00% /ml/machine-learning-databases/00192/
72 6362 0.03% 239293 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
73 6277 0.03% 51760 0.00% /ml/datasets/Online+Retail
74 6080 0.03% 98823 0.00% /ml/datasets/Statlog+(German+Credit+Data)
75 5772 0.03% 2594451 0.01% /ml/machine-learning-databases/00222/bank.zip
76 5765 0.03% 7893 0.00% /ml/machine-learning-databases/abalone/
77 5668 0.02% 222716 0.00% /ml/datasets/Mushroom
78 5436 0.02% 86200 0.00% /ml/datasets/Auto+MPG
79 5405 0.02% 127344 0.00% /ml/datasets/Census+Income
80 5302 0.02% 45926 0.00% /ml/datasets/Daily+Demand+Forecasting+Orders
81 4903 0.02% 60592 0.00% /ml/datasets/Automobile
82 4865 0.02% 334344 0.00% /ml/datasets/Breast+Cancer
83 4821 0.02% 26328 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.names
84 4773 0.02% 7522 0.00% /ml/machine-learning-databases/statlog/german/
85 4737 0.02% 14034 0.00% /ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.names
86 4706 0.02% 28461 0.00% /ml/machine-learning-databases/balance-scale/balance-scale.data
87 4701 0.02% 40784 0.00% /ml/datasets/Immunotherapy+Dataset
88 4671 0.02% 39685 0.00% /ml/datasets/seeds
89 4655 0.02% 55846 0.00% /ml/datasets/Online+News+Popularity
90 4641 0.02% 13586 0.00% /ml/machine-learning-databases/wine/wine.names
91 4557 0.02% 34528 0.00% /ml/datasets/Beijing+PM2.5+Data
92 4490 0.02% 144324778 0.72% /ml/machine-learning-databases/00288/leaf.zip
93 4478 0.02% 457 0.00% /ml/machine-learning-databases/iris/Index
94 4418 0.02% 46088 0.00% /ml/datasets/Credit+Approval
95 4386 0.02% 830339 0.00% /ml/machine-learning-databases/00228/smsspamcollection.zip
96 4348 0.02% 125549 0.00% /ml/datasets/pima+indians+diabetes
97 4332 0.02% 55366 0.00% /ml/datasets.html/datasets/datasets/datasets/datasets.html
98 4328 0.02% 77094 0.00% /ml/machine-learning-databases/heart-disease/processed.cleveland.data
99 4326 0.02% 36621 0.00% /ml/datasets/Wholesale+customers
100 4297 0.02% 43983 0.00% /ml/datasets/Air+Quality

Top 100 of 12728 Total URLs By KBytes
# Hits KBytes URL
1 18456 0.08% 4302535543 21.58% /ml/machine-learning-databases/00340/data.zip
2 256958 1.13% 2150579758 10.79% /ml/machine-learning-databases/00280/HIGGS.csv.gz
3 1086 0.00% 1776012574 8.91% /ml/machine-learning-databases/00251/WTD_upload.zip
4 1090 0.00% 1286840719 6.45% /ml/machine-learning-databases/00269/dir_data.tar
5 183731 0.81% 1132907118 5.68% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
6 140 0.00% 1002230898 5.03% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
7 615028 2.70% 757984480 3.80% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
8 39335 0.17% 743864154 3.73% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
9 1163 0.01% 547987060 2.75% /ml/machine-learning-databases/00344/Activity recognition exp.zip
10 672 0.00% 315513227 1.58% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
11 2726 0.01% 270651878 1.36% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
12 526 0.00% 233063226 1.17% /ml/machine-learning-databases/00279/SUSY.csv.gz
13 1004 0.00% 222821798 1.12% /ml/machine-learning-databases/00385/de.tar.bz2
14 2111 0.01% 191645463 0.96% /ml/machine-learning-databases/00322/data.zip
15 52341 0.23% 190953323 0.96% /ml/machine-learning-databases/adult/adult.data
16 538 0.00% 189846869 0.95% /ml/databases/census1990/USCensus1990.data.txt
17 3135 0.01% 188080048 0.94% /ml/machine-learning-databases/00256/data.zip
18 17672 0.08% 179380169 0.90% /ml/machine-learning-databases/00318/NoisyOffice.zip
19 643 0.00% 166650411 0.84% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
20 137 0.00% 158413233 0.79% /ml/machine-learning-databases/00347/all_train.csv.gz
21 243 0.00% 156245094 0.78% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
22 1678 0.01% 154804456 0.78% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
23 4093490 17.96% 148883880 0.75% /ml/datasets.html
24 4490 0.02% 144324778 0.72% /ml/machine-learning-databases/00288/leaf.zip
25 8452 0.04% 140520410 0.70% /ml/machine-learning-databases/00352/Online Retail.xlsx
26 1112 0.00% 132190117 0.66% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
27 911 0.00% 128785884 0.65% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
28 262 0.00% 125875326 0.63% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
29 673 0.00% 118007478 0.59% /ml/machine-learning-databases/p53/p53_old_2010.zip
30 891 0.00% 116256396 0.58% /ml/machine-learning-databases/00339/train.csv.zip
31 118 0.00% 112421675 0.56% /ml/machine-learning-databases/00347/1000_train.csv.gz
32 119374 0.52% 105208905 0.53% /ml/machine-learning-databases/00239/corpus.zip
33 701 0.00% 92202223 0.46% /ml/machine-learning-databases/url/url_svmlight.tar.gz
34 3380 0.01% 88067412 0.44% /ml/machine-learning-databases/00210/donation.zip
35 3029 0.01% 86604107 0.43% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
36 7922 0.03% 82704973 0.41% /ml/machine-learning-databases/00417/fonts.zip
37 3820 0.02% 75100592 0.38% /ml/machine-learning-databases/poker/poker-hand-testing.data
38 897 0.00% 73151829 0.37% /ml/machine-learning-databases/p53/p53_new_2012.zip
39 381 0.00% 72174205 0.36% /ml/machine-learning-databases/00306/dataset_segmentation.rar
40 120 0.00% 68186162 0.34% /ml/machine-learning-databases/00347/all_test.csv.gz
41 2651 0.01% 67973743 0.34% /ml/machine-learning-databases/00401/TCGA-PANCAN-HiSeq-801x20531.tar.gz
42 41 0.00% 65285473 0.33% /ml/machine-learning-databases/00347/not1000_train.csv.gz
43 1098 0.00% 65223025 0.33% /ml/machine-learning-databases/00371/NIPS_1987-2015.csv
44 499 0.00% 63006045 0.32% /ml/machine-learning-databases/00347/1000_test.csv.gz
45 3166 0.01% 62871182 0.32% /ml/machine-learning-databases/00341/HAPT Data Set.zip
46 1162 0.01% 50196384 0.25% /ml/machine-learning-databases/00361/data1.zip
47 648 0.00% 50097673 0.25% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
48 805 0.00% 48848184 0.25% /ml/machine-learning-databases/gisette/GISETTE/gisette_train.data
49 694 0.00% 40921482 0.21% /ml/machine-learning-databases/volcanoes-mld/volcanoes.tar.gz
50 20882 0.09% 39440283 0.20% /ml/machine-learning-databases/adult/adult.test
51 47 0.00% 37797035 0.19% /ml/machine-learning-databases/00347/not1000_test.csv.gz
52 768 0.00% 35450814 0.18% /ml/machine-learning-databases/00204/PEMS-SF.zip
53 877 0.00% 33881332 0.17% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
54 2145 0.01% 33426716 0.17% /ml/machine-learning-databases/00415/VANET dataset.zip
55 592 0.00% 33090677 0.17% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
56 2796 0.01% 31709352 0.16% /ml/machine-learning-databases/00235/household_power_consumption.zip
57 784 0.00% 27650255 0.14% /ml/machine-learning-databases/00326/TV_News_Channel_Commercial_Detection_Dataset.zip
58 1387 0.01% 27101204 0.14% /ml/machine-learning-databases/00389/DevanagariHandwrittenCharacterDataset.zip
59 2727 0.01% 26159038 0.13% /ml/machine-learning-databases/00374/energydata_complete.csv
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Top 10 of 3366 Total Exit Pages
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Top 100 of 367 Total Search Strings
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28 5 0.56% https://archive.ics.uci.edu/ml/datasets/iris
29 5 0.56% https://archive.ics.uci.edu/ml/datasets/susy
30 5 0.56% https://archive.ics.uci.edu/ml/datasets/thyroid disease
31 5 0.56% uci
32 5 0.56% uci repository
33 5 0.56% wdbc database 9 and 30 features uci
34 4 0.45% diabete
35 4 0.45% http://archive.ics.uci.edu/ml/datasets.html
36 4 0.45% https://archive.ics.uci.edu/ml/datasets.htmlarea=
37 4 0.45% https://archive.ics.uci.edu/ml/datasets/air quality#
38 4 0.45% https://archive.ics.uci.edu/ml/datasets/chronic_kidney_disease
39 4 0.45% https://archive.ics.uci.edu/ml/datasets/credit approval
40 4 0.45% https://archive.ics.uci.edu/ml/datasets/diabetes 130-us hospitals for years 1999-2008
41 4 0.45% https://archive.ics.uci.edu/ml/datasets/htru2
42 4 0.45% https://archive.ics.uci.edu/ml/datasets/occupancy detection
43 4 0.45% https://archive.ics.uci.edu/ml/datasets/online retail
44 4 0.45% https://archive.ics.uci.edu/ml/datasets/yearpredictionmsd
45 4 0.45% https://archive.ics.uci.edu/ml/index.php
46 4 0.45% https://archive.ics.uci.edu/ml/machine-learning-databases/
47 4 0.45% https://archive.ics.uci.edu/ml/machine-learning-databases/adult/
48 4 0.45% uci datasets
49 4 0.45% uci lung cancer
50 3 0.34% archive.ics.edu/ml/machinelearning -databases/statlog/heart
51 3 0.34% archive.ics.uci.edu
52 3 0.34% diseases site:https://archive.ics.uci.edu/ml/datasets.html
53 3 0.34% education site:archive.ics.uci.edu/ml
54 3 0.34% gisette dataset
55 3 0.34% http://archive.ics.uci.edu/ml/
56 3 0.34% http://archive.ics.uci.edu/ml/datasets/human activity recognition using smartphones
57 3 0.34% http://archive.ics.uci.edu/ml/machine-learning-databases/forest-fires/
58 3 0.34% https://archive.ics.uci.edu/ml/datasets/activity recognition system based on multisensor data fusion %28arem%29
59 3 0.34% https://archive.ics.uci.edu/ml/datasets/activity recognition with healthy older people using a batteryless wearable sensor
60 3 0.34% https://archive.ics.uci.edu/ml/datasets/bank marketing#
61 3 0.34% https://archive.ics.uci.edu/ml/datasets/daily demand forecasting orders
62 3 0.34% https://archive.ics.uci.edu/ml/datasets/diabetes 130-us hospitals for years 1999-2008#
63 3 0.34% https://archive.ics.uci.edu/ml/datasets/drug consumption %28quantified%29
64 3 0.34% https://archive.ics.uci.edu/ml/datasets/kegg metabolic relation network %28directed%29
65 3 0.34% https://archive.ics.uci.edu/ml/datasets/libras movement
66 3 0.34% https://archive.ics.uci.edu/ml/datasets/mushroom
67 3 0.34% https://archive.ics.uci.edu/ml/datasets/musk %28version 2%29
68 3 0.34% https://archive.ics.uci.edu/ml/datasets/pamap2 physical activity monitoring
69 3 0.34% https://archive.ics.uci.edu/ml/datasets/reuters-21578 text categorization collection
70 3 0.34% https://archive.ics.uci.edu/ml/datasets/url reputation
71 3 0.34% https://archive.ics.uci.edu/ml/machine-learning
72 3 0.34% https://archive.ics.uci.edu/ml/machine-learning-databases/00360/
73 3 0.34% https://archive.ics.uci.edu/ml/machine-learning-databases/statlog/german/
74 3 0.34% lung cancer data set
75 3 0.34% machine learning
76 3 0.34% student site:archive.ics.uci.edu/ml
77 3 0.34% time series prediction dataset
78 3 0.34% uci machine
79 2 0.23% arabic data set for hts
80 2 0.23% bank direct marketing dataset
81 2 0.23% bayes site:archive.ics.uci.edu/ml
82 2 0.23% binary classification dataset
83 2 0.23% bisnis cerdas : kalo yg sudah dapat data set tulis di komentar.... https://archive.ics.uci.edu/ml/datasets.htmlformat=
84 2 0.23% cancer site:archive.ics.uci.edu/ml
85 2 0.23% classification datasets
86 2 0.23% credit site:archive.ics.uci.edu/ml
87 2 0.23% dataset
88 2 0.23% dataset in ml
89 2 0.23% dataset of credit card clints
90 2 0.23% datasets for machine learning
91 2 0.23% datasets-uci-breast-cancer.csv
92 2 0.23% e learning dataset site:archive.ics.uci.edu/ml
93 2 0.23% eog
94 2 0.23% heart disease dataset
95 2 0.23% hsbc student marketing
96 2 0.23% http://www.ics.uci.edu/~mlearn/mlsummary.html
97 2 0.23% https://archive.ics.uci.edu/ml/datasets/activity recognition from single chest-mounted accelerometer#
98 2 0.23% https://archive.ics.uci.edu/ml/datasets/appliances energy prediction
99 2 0.23% https://archive.ics.uci.edu/ml/datasets/bag of words
100 2 0.23% https://archive.ics.uci.edu/ml/datasets/banknote authentication

Top 1 of 1 Total Usernames
# Hits Files KBytes Visits Username
1 249 0.00% 249 0.00% 2621 0.00% 95 0.01% ads

Top 100 of 18942 Total User Agents
# Hits User Agent
1 2959578 12.98% Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)
2 2498244 10.96% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
3 895557 3.93% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
4 774239 3.40% MobileSafari/604.1 CFNetwork/893.14.2 Darwin/17.3.0
5 733255 3.22% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
6 727237 3.19% Transmission/2.84
7 601544 2.64% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:57.0) Gecko/20100101 Firefox/57.0
8 599202 2.63% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36
9 528363 2.32% Mozilla/5.0 (Linux; Android) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.131 Safari/537.36
10 449124 1.97% Mozilla/5.0 (compatible; SemrushBot/1.2~bl; +http://www.semrush.com/bot.html)
11 336172 1.47% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
12 333561 1.46% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:57.0) Gecko/20100101 Firefox/57.0
13 316101 1.39% Safari/13604.4.7.1.3 CFNetwork/893.13.1 Darwin/17.3.0 (x86_64)
14 305503 1.34% 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
15 304218 1.33% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
16 256644 1.13% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/604.4.7 (KHTML, like Gecko) Version/11.0.2 Safari/604.4.7
17 253183 1.11% Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:57.0) Gecko/20100101 Firefox/57.0
18 221119 0.97% Python-urllib/3.6
19 209705 0.92% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36
20 199276 0.87% Mozilla/5.0 (compatible; DotBot/1.1; http://www.opensiteexplorer.org/dotbot, help@moz.com)
21 188377 0.83% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
22 185090 0.81% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
23 180878 0.79% Safari/13604.4.7.1.6 CFNetwork/893.13.1 Darwin/17.3.0 (x86_64)
24 154024 0.68% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36
25 150229 0.66% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36
26 125045 0.55% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
27 117987 0.52% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
28 117301 0.51% MobileSafari/604.1 CFNetwork/889.9 Darwin/17.2.0
29 107263 0.47% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:58.0) Gecko/20100101 Firefox/58.0
30 105655 0.46% Python-urllib/3.5
31 102374 0.45% Safari/13604.3.5 CFNetwork/889.9 Darwin/17.2.0 (x86_64)
32 99089 0.43% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36 Edge/15.1
33 98387 0.43% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.108 Safari/537.36
34 96470 0.42% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.119 Safari/537.36
35 92256 0.40% \"Mozilla/5.0 (iPhone; CPU iPhone OS 11_0 like Mac OS X) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Mobile/15A372
36 90765 0.40% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36
37 87334 0.38% Mozilla/5.0 (Windows NT 6.3; Win64; x64; rv:57.0) Gecko/20100101 Firefox/57.0
38 80242 0.35% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36
39 78288 0.34% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
40 77976 0.34% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.108 Safari/537.36
41 76590 0.34% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36
42 76103 0.33% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
43 72133 0.32% MobileSafari/602.1 CFNetwork/811.5.4 Darwin/16.7.0
44 71859 0.32% Mozilla/5.0 (iPhone; CPU iPhone OS 11_2_2 like Mac OS X) AppleWebKit/604.4.7 (KHTML, like Gecko) Version/11.0 Mobile/15C202 S
45 71637 0.31% Python-urllib/2.7
46 68905 0.30% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:58.0) Gecko/20100101 Firefox/58.0
47 67804 0.30% Mozilla/5.0 (iPhone; CPU iPhone OS 11_2_1 like Mac OS X) AppleWebKit/604.4.7 (KHTML, like Gecko) Version/11.0 Mobile/15C153 S
48 67225 0.29% Mozilla/5.0 (Windows NT 6.1; rv:57.0) Gecko/20100101 Firefox/57.0
49 67021 0.29% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
50 66203 0.29% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.13; rv:57.0) Gecko/20100101 Firefox/57.0
51 66037 0.29% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/604.4.7 (KHTML, like Gecko) Version/11.0.2 Safari/604.4.7
52 65949 0.29% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
53 65700 0.29% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/604.4.7 (KHTML, like Gecko)
54 60974 0.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
55 59057 0.26% MobileSafari/604.1 CFNetwork/887 Darwin/17.0.0
56 58001 0.25% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
57 57960 0.25% Mozilla/5.0 (X11; Linux x86_64; rv:57.0) Gecko/20100101 Firefox/57.0
58 55943 0.25% Safari/12604.4.7.1.6 CFNetwork/811.8 Darwin/16.7.0 (x86_64)
59 54772 0.24% Wget/1.17.1 (linux-gnu)
60 53822 0.24% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.79 Safari/537.36 Edge/14.14
61 53757 0.24% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36
62 52847 0.23% Safari%20%E6%B5%8F%E8%A7%88%E5%99%A8/13604.4.7.1.3 CFNetwork/893.13.1 Darwin/17.3.0 (x86_64)
63 49921 0.22% Safari/13604.5.6 CFNetwork/893.13.1 Darwin/17.4.0 (x86_64)
64 49638 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_1) AppleWebKit/604.3.5 (KHTML, like Gecko) Version/11.0.1 Safari/604.3.5
65 49557 0.22% MobileSafari/604.1 CFNetwork/894 Darwin/17.4.0
66 47978 0.21% python-requests/2.18.4
67 41854 0.18% Mozilla/5.0 (Linux; Android 4.2.1; en-us; Nexus 5 Build/JOP40D) AppleWebKit/535.19 (KHTML, like Gecko; googleweblight) Chrome
68 41679 0.18% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/63.0.3239.84 Chrome/63.0.3239.84 Safar
69 41118 0.18% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.221 Safari/537.36 SE 2.X MetaSr 1
70 40769 0.18% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.221 Safari/537.36 SE 2.X MetaSr
71 39533 0.17% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:40.0) Gecko/20100101 Firefox/40.1
72 38235 0.17% Safari/12604.4.7.1.4 CFNetwork/811.8 Darwin/16.7.0 (x86_64)
73 38013 0.17% Safari/12603.3.8 CFNetwork/811.5.4 Darwin/16.7.0 (x86_64)
74 36927 0.16% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/62.0.3202.94 Safari/537.36
75 36888 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36
76 35344 0.16% Mozilla/4.0 (compatible;)
77 34877 0.15% Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:58.0) Gecko/20100101 Firefox/58.0
78 34333 0.15% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.108 Safari/537.36
79 34225 0.15% Mozilla/5.0 (Windows NT 6.2; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
80 33760 0.15% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:57.0) Gecko/20100101 Firefox/57.0
81 32150 0.14% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.12; rv:57.0) Gecko/20100101 Firefox/57.0
82 32068 0.14% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
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86 30582 0.13% Safari/10603.3.8 CFNetwork/720.5.7 Darwin/14.5.0 (x86_64)
87 29509 0.13% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/62.0.3202.94 Safari/537.36
88 29047 0.13% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:54.0) Gecko/20100101 Firefox/54.0
89 28773 0.13% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
90 28527 0.13% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36 OPR/50.0.
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100 26077 0.11% python-requests/2.13.0

Usage by Country for January 2018

Top 30 of 231 Total Countries
# Hits Files KBytes Country
1 5550941 24.35% 5205687 28.53% 1422467413 7.14% Commercial (com)
2 2744340 12.04% 2271590 12.45% 7402990031 37.13% China
3 2478173 10.87% 1812903 9.93% 1284351436 6.44% Network (net)
4 2150145 9.43% 1975387 10.82% 1198700217 6.01% India
5 1667719 7.32% 1466100 8.03% 2800538467 14.05% United States
6 987379 4.33% 928863 5.09% 751751515 3.77% Korea, Republic of
7 545144 2.39% 475804 2.61% 325135771 1.63% Educational (edu)
8 375375 1.65% 309750 1.70% 222377673 1.12% Germany
9 330682 1.45% 233334 1.28% 166667598 0.84% Japan
10 302680 1.33% 271898 1.49% 187282664 0.94% Poland
11 294606 1.29% 234884 1.29% 91875617 0.46% Canada
12 293965 1.29% 234165 1.28% 86012080 0.43% Brazil
13 272056 1.19% 220936 1.21% 150207265 0.75% France
14 266733 1.17% 208912 1.14% 170368204 0.85% Italy
15 254657 1.12% 189188 1.04% 167271056 0.84% Turkey
16 253032 1.11% 220947 1.21% 551750060 2.77% Iran
17 248211 1.09% 219145 1.20% 460102913 2.31% Indonesia
18 214376 0.94% 172928 0.95% 121702475 0.61% Russian Federation
19 177932 0.78% 154054 0.84% 70052262 0.35% Thailand
20 177923 0.78% 158176 0.87% 126934550 0.64% Unresolved/Unknown
21 165311 0.73% 147444 0.81% 87186058 0.44% Taiwan
22 147254 0.65% 112866 0.62% 109296759 0.55% Singapore
23 134538 0.59% 104716 0.57% 67612098 0.34% Great Britain (UK)
24 127588 0.56% 97165 0.53% 82272451 0.41% Australia
25 123383 0.54% 101457 0.56% 48025123 0.24% United Kingdom
26 119501 0.52% 109577 0.60% 308498399 1.55% Pakistan
27 116891 0.51% 96307 0.53% 69239159 0.35% Netherlands
28 101807 0.45% 85850 0.47% 47939485 0.24% Spain
29 99103 0.43% 87713 0.48% 85190093 0.43% Malaysia
30 90516 0.40% 66977 0.37% 48883941 0.25% Mexico

Generated by Webalizer Version 2.23