Usage Statistics for archive.ics.uci.edu

Summary Period: April 2017
Generated 01-May-2017 06:19 PDT

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

Monthly Statistics for April 2017
Total Hits 15276632
Total Files 12744833
Total Pages 2977795
Total Visits 518909
Total KBytes 22725928675
Total Unique Sites 284170
Total Unique URLs 11521
Total Unique Referrers 19262
Total Unique Usernames 3
Total Unique User Agents 15897
. Avg Max
Hits per Hour 21217 39539
Hits per Day 509221 684312
Files per Day 424827 573189
Pages per Day 99259 155947
Sites per Day 9472 19716
Visits per Day 17296 21978
KBytes per Day 757530956 3618527380
Hits by Response Code
Code 200 - OK 83.43% 12744833
Code 206 - Partial Content 1.32% 201090
Code 301 - Moved Permanently 0.33% 50222
Code 302 - Found 0.05% 7543
Code 304 - Not Modified 1.08% 165494
Code 400 - Bad Request 0.00% 160
Code 403 - Forbidden 2.24% 341528
Code 404 - Not Found 11.53% 1761218
Code 405 - Method Not Allowed 0.02% 2874
Code 406 - Not Acceptable 0.00% 7
Code 416 - Requested Range Not Satisfiable 0.00% 676
Code 500 - Internal Server Error 0.01% 986
Code 501 - Not Implemented 0.00% 1

Daily usage for April 2017

Daily Statistics for April 2017
Day Hits Files Pages Visits Sites KBytes
1 391581 2.56% 320802 2.52% 72869 2.45% 14584 2.81% 13168 4.63% 322401096 1.42%
2 430373 2.82% 359024 2.82% 76347 2.56% 16084 3.10% 14333 5.04% 419261754 1.84%
3 581375 3.81% 496300 3.89% 103062 3.46% 19759 3.81% 17877 6.29% 688857139 3.03%
4 595704 3.90% 509379 4.00% 110602 3.71% 19969 3.85% 18690 6.58% 1195476536 5.26%
5 666739 4.36% 573189 4.50% 125057 4.20% 20621 3.97% 18990 6.68% 833549633 3.67%
6 600777 3.93% 502896 3.95% 107830 3.62% 20053 3.86% 18416 6.48% 1034103892 4.55%
7 529173 3.46% 434467 3.41% 117720 3.95% 17156 3.31% 15602 5.49% 2132692846 9.38%
8 443419 2.90% 370301 2.91% 106766 3.59% 15091 2.91% 13519 4.76% 696890937 3.07%
9 109585 0.72% 93366 0.73% 44177 1.48% 2841 0.55% 3296 1.16% 100813128 0.44%
10 407163 2.67% 333780 2.62% 78546 2.64% 14017 2.70% 13092 4.61% 429841290 1.89%
11 661558 4.33% 560403 4.40% 136394 4.58% 20876 4.02% 18856 6.64% 746858489 3.29%
12 606490 3.97% 516851 4.06% 124291 4.17% 20164 3.89% 18595 6.54% 547451671 2.41%
13 560477 3.67% 478209 3.75% 134289 4.51% 18613 3.59% 16928 5.96% 504156329 2.22%
14 441776 2.89% 367766 2.89% 101697 3.42% 15798 3.04% 14216 5.00% 490168855 2.16%
15 403144 2.64% 336611 2.64% 104740 3.52% 14568 2.81% 12898 4.54% 313352606 1.38%
16 452875 2.96% 375717 2.95% 101827 3.42% 16503 3.18% 14966 5.27% 446649478 1.97%
17 640215 4.19% 551908 4.33% 155947 5.24% 20527 3.96% 18307 6.44% 648967482 2.86%
18 588514 3.85% 496137 3.89% 101552 3.41% 20771 4.00% 18769 6.60% 630153715 2.77%
19 567978 3.72% 480838 3.77% 94048 3.16% 19932 3.84% 18331 6.45% 820552306 3.61%
20 308812 2.02% 263865 2.07% 58191 1.95% 10855 2.09% 10296 3.62% 290897010 1.28%
21 502311 3.29% 421777 3.31% 90857 3.05% 17773 3.43% 16038 5.64% 3618527380 15.92%
22 409562 2.68% 325604 2.55% 69805 2.34% 15050 2.90% 13537 4.76% 371011749 1.63%
23 481768 3.15% 402299 3.16% 82725 2.78% 18215 3.51% 16037 5.64% 499964384 2.20%
24 633848 4.15% 541558 4.25% 113896 3.82% 21978 4.24% 19616 6.90% 1126420972 4.96%
25 630261 4.13% 532056 4.17% 94726 3.18% 21458 4.14% 19716 6.94% 641508512 2.82%
26 684312 4.48% 555443 4.36% 105702 3.55% 21093 4.06% 19127 6.73% 1258974486 5.54%
27 648426 4.24% 532287 4.18% 108655 3.65% 19588 3.77% 18351 6.46% 660010529 2.90%
28 491446 3.22% 385737 3.03% 105412 3.54% 16872 3.25% 15235 5.36% 473383133 2.08%
29 379067 2.48% 292126 2.29% 68245 2.29% 14637 2.82% 12664 4.46% 457619665 2.01%
30 427903 2.80% 334137 2.62% 81820 2.75% 15420 2.97% 13947 4.91% 325411672 1.43%

Hourly usage for April 2017

Hourly Statistics for April 2017
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 23944 718332 4.70% 20132 603977 4.74% 4261 127851 4.29% 38897938 1166938150 5.13%
1 23311 699336 4.58% 19540 586225 4.60% 4134 124025 4.16% 38507743 1155232284 5.08%
2 22123 663703 4.34% 18794 563848 4.42% 3999 119989 4.03% 23988503 719655085 3.17%
3 20207 606227 3.97% 16976 509296 4.00% 3903 117109 3.93% 22202009 666060280 2.93%
4 19820 594615 3.89% 16620 498612 3.91% 3669 110096 3.70% 32125388 963761648 4.24%
5 21776 653305 4.28% 18093 542814 4.26% 4061 121835 4.09% 35543277 1066298296 4.69%
6 23901 717038 4.69% 19826 594797 4.67% 4604 138122 4.64% 50358556 1510756685 6.65%
7 24951 748557 4.90% 20728 621846 4.88% 4811 144355 4.85% 38591623 1157748685 5.09%
8 25277 758331 4.96% 21002 630074 4.94% 5131 153955 5.17% 30883338 926500137 4.08%
9 23664 709933 4.65% 19690 590713 4.63% 4777 143332 4.81% 79004378 2370131326 10.43%
10 23412 702377 4.60% 19714 591420 4.64% 4756 142688 4.79% 35906484 1077194509 4.74%
11 22985 689572 4.51% 19414 582442 4.57% 4331 129954 4.36% 57136435 1714093062 7.54%
12 22128 663861 4.35% 18547 556411 4.37% 4562 136886 4.60% 14708758 441262742 1.94%
13 21296 638885 4.18% 17870 536117 4.21% 4394 131837 4.43% 17591991 527759718 2.32%
14 18774 563235 3.69% 15710 471306 3.70% 4123 123700 4.15% 27342357 820270719 3.61%
15 16099 482978 3.16% 13359 400790 3.14% 3686 110601 3.71% 16808322 504249646 2.22%
16 15355 460679 3.02% 12590 377725 2.96% 3351 100547 3.38% 17602467 528074010 2.32%
17 16907 507213 3.32% 13819 414586 3.25% 3542 106286 3.57% 13906245 417187338 1.84%
18 20102 603084 3.95% 16564 496939 3.90% 3883 116507 3.91% 23682611 710478344 3.13%
19 21824 654747 4.29% 18137 544111 4.27% 4201 126052 4.23% 32326401 969792018 4.27%
20 20133 604005 3.95% 16789 503673 3.95% 3790 113711 3.82% 22672429 680172860 2.99%
21 18338 550156 3.60% 15126 453785 3.56% 3402 102085 3.43% 16764677 502940311 2.21%
22 19546 586391 3.84% 16129 483885 3.80% 3698 110940 3.73% 37071362 1112140862 4.89%
23 23335 700072 4.58% 19648 589441 4.62% 4177 125332 4.21% 33907665 1017229961 4.48%

Top 100 of 11521 Total URLs
# Hits KBytes URL
1 1108547 7.26% 80340221 0.35% /ml/datasets.html
2 176215 1.15% 3220012 0.01% /ml/
3 114277 0.75% 13832606 0.06% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
4 96811 0.63% 426147 0.00% /ml/machine-learning-databases/iris/iris.data
5 65247 0.43% 242237366 1.07% /ml/machine-learning-databases/adult/adult.data
6 44522 0.29% 594351 0.00% /ml//datasets.html
7 38744 0.25% 875397 0.00% /ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data
8 36476 0.24% 2596050 0.01% /ml/datasets/Iris
9 36074 0.24% 1030 0.00% /
10 31547 0.21% 2128250 0.01% /ml/machine-learning-databases/
11 29394 0.19% 417796 0.00% /ml/datasets.html/datasets.html
12 22257 0.15% 883869 0.00% /ml/datasets/Adult
13 21102 0.14% 220270 0.00% /ml/machine-learning-databases/wine/wine.data
14 20835 0.14% 32435 0.00% /ml/machine-learning-databases/iris/
15 18034 0.12% 282697 0.00% /ml/datasets.html/datasets/datasets.html
16 17670 0.12% 193258 0.00% /ml/datasets/Bank+Marketing
17 16661 0.11% 244304 0.00% /ml/datasets.html/datasets/datasets/datasets.html
18 15625 0.10% 7880973933 34.68% /ml/machine-learning-databases/00340/data.zip
19 15592 0.10% 299129 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
20 14385 0.09% 284086 0.00% /ml/datasets/Car+Evaluation
21 13996 0.09% 736846 0.00% /ml/datasets/Heart+Disease
22 13957 0.09% 630764 0.00% /ml/machine-learning-databases/00267/data_banknote_authentication.txt
23 13940 0.09% 483922 0.00% /ml/datasets/Wine
24 13539 0.09% 23815 0.00% /ml/machine-learning-databases/adult/
25 13518 0.09% 429056 0.00% /ml/datasets/Housing
26 13062 0.09% 57637 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
27 12998 0.09% 609624 0.00% /ml/machine-learning-databases/housing/housing.data
28 12799 0.08% 110897 0.00% /ml/datasets/Wine+Quality
29 12663 0.08% 30990 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
30 12420 0.08% 485160 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
31 11397 0.07% 121506 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
32 11161 0.07% 139656793 0.61% /ml/machine-learning-databases/00370/amazon_book_reviews.rar
33 11062 0.07% 309166 0.00% /ml/datasets/Abalone
34 11015 0.07% 872020 0.00% /ml/machine-learning-databases/wine-quality/winequality-red.csv
35 10800 0.07% 2384627 0.01% /ml/machine-learning-databases/wine-quality/winequality-white.csv
36 10201 0.07% 215673047 0.95% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
37 9357 0.06% 269741 0.00% /ml/datasets/Pima+Indians+Diabetes
38 9246 0.06% 152127 0.00% /ml/datasets/Statlog+(German+Credit+Data)
39 8616 0.06% 24976 0.00% /ml/machine-learning-databases/iris/iris.names
40 8541 0.06% 63999 0.00% /ml/datasets/Facebook+metrics
41 8515 0.06% 11519 0.00% /ml/machine-learning-databases/wine/
42 8478 0.06% 15284532 0.07% /ml/machine-learning-databases/adult/adult.test
43 8355 0.05% 79538 0.00% /ml/datasets/default+of+credit+card+clients
44 8211 0.05% 91291 0.00% /ml/datasets/Student+Performance
45 8126 0.05% 11031 0.00% /ml/machine-learning-databases/car/
46 7863 0.05% 33440 0.00% /ml/machine-learning-databases/heart-disease/
47 7544 0.05% 64345 0.00% /ml/datasets/Online+Retail
48 7519 0.05% 4075998 0.02% /ml/machine-learning-databases/optdigits/optdigits.tra
49 7420 0.05% 75970 0.00% /ml/datasets/Air+Quality
50 7276 0.05% 9988401 0.04% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
51 6969 0.05% 35140 0.00% /ml/machine-learning-databases/adult/adult.names
52 6930 0.05% 48705 0.00% /ml/datasets/Amazon+book+reviews
53 6916 0.05% 461714532 2.03% /ml/machine-learning-databases/00256/data.zip
54 6781 0.04% 62200 0.00% /ml/datasets/Poker+Hand
55 6765 0.04% 1213627 0.01% /ml/machine-learning-databases/abalone/abalone.data
56 6764 0.04% 115937992 0.51% /ml/machine-learning-databases/00347/1000_train.csv.gz
57 6724 0.04% 9170 0.00% /ml/machine-learning-databases/wine-quality/
58 6698 0.04% 2885306 0.01% /ml/machine-learning-databases/00222/bank.zip
59 6654 0.04% 69247 0.00% /ml/datasets/Bike+Sharing+Dataset
60 6611 0.04% 259448 0.00% /ml/datasets/Mushroom
61 6525 0.04% 248830 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
62 6517 0.04% 7781 0.00% /ml/machine-learning-databases/00222/
63 6503 0.04% 1031806112 4.54% /ml/machine-learning-databases/00251/WTD_upload.zip
64 6469 0.04% 316441 0.00% /ml/machine-learning-databases/car/car.data
65 6253 0.04% 88600020 0.39% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
66 6172 0.04% 60549 0.00% /ml/datasets/Forest+Fires
67 6153 0.04% 97918 0.00% /ml/datasets/Auto+MPG
68 6128 0.04% 51981 0.00% /ml/datasets/Wholesale+customers
69 6024 0.04% 64408323 0.28% /ml/machine-learning-databases/00347/not1000_train.csv.gz
70 5995 0.04% 8221 0.00% /ml/machine-learning-databases/housing/
71 5915 0.04% 72654 0.00% /ml/datasets/Automobile
72 5889 0.04% 9657 0.00% /ml/machine-learning-databases/pima-indians-diabetes/
73 5882 0.04% 41795 0.00% /ml/datasets/Dota2+Games+Results
74 5861 0.04% 73431 0.00% /ml/datasets/Online+News+Popularity
75 5818 0.04% 5636 0.00% /ml/machine-learning-databases/00192/
76 5731 0.04% 83607854 0.37% /ml/machine-learning-databases/00352/Online Retail.xlsx
77 5557 0.04% 68416 0.00% /ml/datasets/Spambase
78 5525 0.04% 233921 0.00% /ml/datasets/Diabetes
79 5371 0.04% 367059 0.00% /ml/datasets/Breast+Cancer
80 5342 0.03% 84793 0.00% /ml/machine-learning-databases/statlog/heart/heart.dat
81 5323 0.03% 126154 0.00% /ml/datasets/Census+Income
82 5287 0.03% 4879291 0.02% /ml/machine-learning-databases/00360/AirQualityUCI.zip
83 5280 0.03% 7252 0.00% /ml/machine-learning-databases/abalone/
84 5132 0.03% 53520 0.00% /ml/datasets/Credit+Approval
85 4835 0.03% 95723 0.00% /ml/datasets/Letter+Recognition
86 4738 0.03% 43452 0.00% /ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008
87 4649 0.03% 394020 0.00% /ml/machine-learning-databases/undocumented/connectionist-bench/sonar/sonar.all-data
88 4595 0.03% 86314678 0.38% /ml/machine-learning-databases/poker/poker-hand-testing.data
89 4592 0.03% 38906 0.00% /ml/datasets/Energy+efficiency
90 4547 0.03% 293351053 1.29% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
91 4544 0.03% 63192 0.00% /ml/datasets/Arrhythmia
92 4525 0.03% 37477 0.00% /ml/datasets/Individual+household+electric+power+consumption
93 4486 0.03% 40261 0.00% /ml/datasets/STUDENT+ALCOHOL+CONSUMPTION
94 4471 0.03% 37403 0.00% /ml/datasets/seeds
95 4368 0.03% 256427205 1.13% /ml/machine-learning-databases/00371/NIPS_1987-2015.csv
96 4272 0.03% 46264 0.00% /ml/datasets/SMS+Spam+Collection
97 4239 0.03% 2031914252 8.94% /ml/machine-learning-databases/00280/HIGGS.csv.gz
98 4174 0.03% 119546 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
99 4112 0.03% 6274 0.00% /ml/machine-learning-databases/statlog/german/
100 4068 0.03% 11922 0.00% /ml/machine-learning-databases/wine/wine.names

Top 100 of 11521 Total URLs By KBytes
# Hits KBytes URL
1 15625 0.10% 7880973933 34.68% /ml/machine-learning-databases/00340/data.zip
2 3912 0.03% 2419942124 10.65% /ml/machine-learning-databases/00269/dir_data.tar
3 4239 0.03% 2031914252 8.94% /ml/machine-learning-databases/00280/HIGGS.csv.gz
4 262 0.00% 1081174921 4.76% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
5 6503 0.04% 1031806112 4.54% /ml/machine-learning-databases/00251/WTD_upload.zip
6 3666 0.02% 800730656 3.52% /ml/machine-learning-databases/00344/Activity recognition exp.zip
7 859 0.01% 680814789 3.00% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
8 3050 0.02% 513005407 2.26% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
9 2430 0.02% 480054891 2.11% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
10 6916 0.05% 461714532 2.03% /ml/machine-learning-databases/00256/data.zip
11 4547 0.03% 293351053 1.29% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
12 4368 0.03% 256427205 1.13% /ml/machine-learning-databases/00371/NIPS_1987-2015.csv
13 65247 0.43% 242237366 1.07% /ml/machine-learning-databases/adult/adult.data
14 1445 0.01% 236266255 1.04% /ml/machine-learning-databases/p53/p53_new_2012.zip
15 10201 0.07% 215673047 0.95% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
16 1189 0.01% 208637071 0.92% /ml/machine-learning-databases/00339/train.csv.zip
17 598 0.00% 157603773 0.69% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
18 1596 0.01% 143560271 0.63% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
19 1193 0.01% 142919564 0.63% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
20 2999 0.02% 141501168 0.62% /ml/machine-learning-databases/00347/all_train.csv.gz
21 375 0.00% 141387786 0.62% /ml/machine-learning-databases/00279/SUSY.csv.gz
22 11161 0.07% 139656793 0.61% /ml/machine-learning-databases/00370/amazon_book_reviews.rar
23 3641 0.02% 139284789 0.61% /ml/machine-learning-databases/00288/leaf.zip
24 362 0.00% 128964227 0.57% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
25 186 0.00% 126296358 0.56% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
26 6764 0.04% 115937992 0.51% /ml/machine-learning-databases/00347/1000_train.csv.gz
27 375 0.00% 102801290 0.45% /ml/machine-learning-databases/00318/NoisyOffice.zip
28 834 0.01% 98710067 0.43% /ml/machine-learning-databases/00322/data.zip
29 918 0.01% 89435761 0.39% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
30 6253 0.04% 88600020 0.39% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
31 4595 0.03% 86314678 0.38% /ml/machine-learning-databases/poker/poker-hand-testing.data
32 1175 0.01% 86048775 0.38% /ml/machine-learning-databases/00361/data1.zip
33 5731 0.04% 83607854 0.37% /ml/machine-learning-databases/00352/Online Retail.xlsx
34 1108547 7.26% 80340221 0.35% /ml/datasets.html
35 862 0.01% 79811928 0.35% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
36 2019 0.01% 73611223 0.32% /ml/machine-learning-databases/00328/ghg_data.zip
37 1783 0.01% 71923662 0.32% /ml/machine-learning-databases/url/url_svmlight.tar.gz
38 1002 0.01% 71710351 0.32% /ml/machine-learning-databases/00347/1000_test.csv.gz
39 6024 0.04% 64408323 0.28% /ml/machine-learning-databases/00347/not1000_train.csv.gz
40 3455 0.02% 56915164 0.25% /ml/machine-learning-databases/00347/all_test.csv.gz
41 1604 0.01% 52672587 0.23% /ml/machine-learning-databases/00341/HAPT Data Set.zip
42 3761 0.02% 50780743 0.22% /ml/machine-learning-databases/00235/household_power_consumption.zip
43 291 0.00% 50726337 0.22% /ml/machine-learning-databases/00306/dataset_segmentation.rar
44 649 0.00% 50262806 0.22% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
45 97 0.00% 49024394 0.22% /ml/machine-learning-databases/00347/not1000_test.csv.gz
46 1637 0.01% 47610989 0.21% /ml/machine-learning-databases/00326/TV_News_Channel_Commercial_Detection_Dataset.zip
47 1866 0.01% 44209253 0.19% /ml/machine-learning-databases/00210/donation.zip
48 2648 0.02% 37469636 0.16% /ml/machine-learning-databases/00362/HT_Sensor_UCIsubmission.zip
49 1734 0.01% 36524391 0.16% /ml/machine-learning-databases/00369/UbiqLog4UCI.zip
50 1218 0.01% 34657040 0.15% /ml/machine-learning-databases/00344/Still exp.zip
51 1630 0.01% 28637298 0.13% /ml/machine-learning-databases/kddcup98-mld/epsilon_mirror/cup98val.zip
52 3455 0.02% 27799871 0.12% /ml/machine-learning-databases/00363/Dataset.zip
53 3 0.00% 24517416 0.11% /ml/machine-learning-databases/00251//WTD_upload.zip
54 676 0.00% 24346000 0.11% /ml/machine-learning-databases/00239/corpus.zip
55 1230 0.01% 23285667 0.10% /ml/machine-learning-databases/00248/regression.tar.gz
56 463 0.00% 23194117 0.10% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
57 1276 0.01% 22933299 0.10% /ml/machine-learning-databases/00349/OULAD.zip
58 439 0.00% 22042877 0.10% /ml/machine-learning-databases/00205/OpinRankDataset.zip
59 1396 0.01% 19443581 0.09% /ml/machine-learning-databases/00246/3D_spatial_network.txt
60 406 0.00% 17771358 0.08% /ml/machine-learning-databases/00204/PEMS-SF.zip
61 333 0.00% 17565750 0.08% /ml/machine-learning-databases/00268/Data.zip
62 1477 0.01% 17503685 0.08% /ml/machine-learning-databases/00359/NewsAggregatorDataset.zip
63 362 0.00% 16147128 0.07% /ml/machine-learning-databases/gisette/GISETTE/gisette_train.data
64 1491 0.01% 15641794 0.07% /ml/machine-learning-databases/00365/Polish_companies_bankruptcy_data.zip
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Top 10 of 3067 Total Entry Pages
# Hits Visits URL
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Top 10 of 2939 Total Exit Pages
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Top 30 of 284170 Total Sites By KBytes
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Top 10 of 19262 Total Referrers
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2 3893148 25.48% - (Direct Request)
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4 883078 5.78% http://archive.ics.uci.edu/ml/
5 89230 0.58% https://archive.ics.uci.edu/ml/datasets/Iris
6 64879 0.42% https://archive.ics.uci.edu/ml/
7 60453 0.40% https://www.google.com/
8 45062 0.29% http://archive.ics.uci.edu/ml/datasets/Iris
9 39397 0.26% https://archive.ics.uci.edu/ml/machine-learning-databases/iris/
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Top 100 of 990 Total Search Strings
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2 46 1.92% http://www.ics.uci.edu/~mlearn/mlrepository.html
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5 26 1.09% https://archive.ics.uci.edu/ml/datasets/wine quality
6 25 1.04% wine
7 22 0.92% diabetes
8 20 0.84% airfoil
9 20 0.84% uci dataset
10 19 0.79% clustering dataset
11 19 0.79% musium
12 17 0.71% iris
13 15 0.63% https://archive.ics.uci.edu/ml/datasets.htmlformat=
14 15 0.63% spam
15 14 0.58% content
16 13 0.54% cars
17 13 0.54% https://archive.ics.uci.edu/ml/datasets/default of credit card clients
18 12 0.50% adult
19 12 0.50% https://archive.ics.uci.edu/ml/datasets/arrhythmia
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25 11 0.46% breast
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28 11 0.46% zoo
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30 10 0.42% https://archive.ics.uci.edu/ml/datasets/mushroom
31 10 0.42% https://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/
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35 9 0.38% clustering
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41 9 0.38% nominal
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61 7 0.29% handwriting
62 7 0.29% hiv-1 protease cleavage data
63 7 0.29% http://archive.ics.uci.edu/ml
64 7 0.29% hypo
65 7 0.29% mushrooms
66 7 0.29% nursery
67 7 0.29% poker
68 7 0.29% police
69 7 0.29% recommendation
70 7 0.29% wdbc
71 6 0.25% car evaluation
72 6 0.25% credit
73 6 0.25% credit card
74 6 0.25% eeg
75 6 0.25% https://archive.ics.uci.edu/ml/datasets/abalone
76 6 0.25% https://archive.ics.uci.edu/ml/datasets/parkinsons
77 6 0.25% letter
78 6 0.25% log
79 6 0.25% student performance
80 6 0.25% text
81 5 0.21% boston
82 5 0.21% breast cancer dataset download
83 5 0.21% classification
84 5 0.21% credit a
85 5 0.21% credit customer bank site:archive.ics.uci.edu/ml
86 5 0.21% crime
87 5 0.21% http://archive.ics.uci.edu/ml/
88 5 0.21% https://archive.ics.uci.edu/ml/datasets/balance scale
89 5 0.21% https://archive.ics.uci.edu/ml/datasets/car evaluation
90 5 0.21% https://archive.ics.uci.edu/ml/datasets/online retail
91 5 0.21% https://archive.ics.uci.edu/ml/datasets/sentence classification
92 5 0.21% https://archive.ics.uci.edu/ml/datasets/student performance
93 5 0.21% https://archive.ics.uci.edu/ml/machine-learning-databases/parkinsons/telemonitoring/
94 5 0.21% insurance
95 5 0.21% ionosphere
96 5 0.21% parkinson
97 5 0.21% phishing
98 5 0.21% social media
99 5 0.21% solar
100 5 0.21% spam detection dataset

Top 3 of 3 Total Usernames
# Hits Files KBytes Visits Username
1 226 0.00% 226 0.00% 4980 0.00% 113 0.02% ads
2 1 0.00% 1 0.00% 301 0.00% 1 0.00% murali.kommanaboina
3 1 0.00% 1 0.00% 4 0.00% 1 0.00% usuario

Top 100 of 15897 Total User Agents
# Hits User Agent
1 1271237 8.32% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
2 796657 5.21% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
3 564624 3.70% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
4 537017 3.52% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
5 358495 2.35% Safari/12603.1.30.0.34 CFNetwork/811.4.18 Darwin/16.5.0 (x86_64)
6 344221 2.25% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
7 327724 2.15% MobileSafari/602.1 CFNetwork/811.4.18 Darwin/16.5.0
8 293708 1.92% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:52.0) Gecko/20100101 Firefox/52.0
9 276735 1.81% 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
10 270381 1.77% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
11 265495 1.74% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
12 248197 1.62% MobileSafari/602.1 CFNetwork/808.3 Darwin/16.3.0
13 232624 1.52% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
14 229033 1.50% Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)
15 217061 1.42% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_4) AppleWebKit/603.1.30 (KHTML, like Gecko) Version/10.1 Safari/603.1.30
16 209686 1.37% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
17 197586 1.29% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
18 188948 1.24% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
19 188172 1.23% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:52.0) Gecko/20100101 Firefox/52.0
20 179407 1.17% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:52.0) Gecko/20100101 Firefox/52.0
21 173120 1.13% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
22 155580 1.02% Safari/12602.4.8 CFNetwork/807.2.14 Darwin/16.4.0 (x86_64)
23 148884 0.97% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.81 Safari/537.36
24 147737 0.97% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
25 137818 0.90% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
26 132486 0.87% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
27 120476 0.79% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
28 118366 0.77% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/602.4.8 (KHTML, like Gecko) Version/10.0.3 Safari/602.4.8
29 116558 0.76% Python-urllib/2.7
30 114972 0.75% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
31 91873 0.60% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
32 88516 0.58% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:53.0) Gecko/20100101 Firefox/53.0
33 86105 0.56% Python-urllib/3.6
34 74248 0.49% Safari/11603.1.30.0.34 CFNetwork/760.6.3 Darwin/15.6.0 (x86_64)
35 72566 0.48% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.81 Safari/537.36
36 70442 0.46% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
37 70097 0.46% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:52.0) Gecko/20100101 Firefox/52.0
38 69247 0.45% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
39 66618 0.44% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
40 63302 0.41% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
41 61251 0.40% Mozilla/5.0 (iPhone; CPU iPhone OS 10_0 like Mac OS X) AppleWebKit/602.1.38 (KHTML, like Gecko) Version/10.0 Mobile/14A300 Sa
42 56619 0.37% Mozilla/5.0 (iPhone; CPU iPhone OS 10_2_1 like Mac OS X) AppleWebKit/602.4.6 (KHTML, like Gecko) Version/10.0 Mobile/14D27 Sa
43 56619 0.37% Mozilla/5.0 (iPhone; CPU iPhone OS 10_3_1 like Mac OS X) AppleWebKit/603.1.30 (KHTML, like Gecko) Version/10.0 Mobile/14E304
44 54672 0.36% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
45 53204 0.35% Java/1.8.0_60
46 53199 0.35% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:53.0) Gecko/20100101 Firefox/53.0
47 51698 0.34% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
48 50976 0.33% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
49 50923 0.33% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
50 50639 0.33% Mozilla/4.5 (compatible; HTTrack 3.0x; Windows 98)
51 47998 0.31% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.81 Safari/537.36
52 47742 0.31% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
53 47726 0.31% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:53.0) Gecko/20100101 Firefox/53.0
54 46952 0.31% Wget/1.17.1 (linux-gnu)
55 46845 0.31% Python-urllib/3.5
56 42786 0.28% Mozilla/5.0 (compatible; DotBot/1.1; http://www.opensiteexplorer.org/dotbot, help@moz.com)
57 42621 0.28% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.110 Safari/537.36
58 42430 0.28% MobileSafari/602.1 CFNetwork/808.2.16 Darwin/16.3.0
59 41106 0.27% Mozilla/5.0 (Windows NT 6.1; rv:52.0) Gecko/20100101 Firefox/52.0
60 40994 0.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/603.1.30 (KHTML, like Gecko) Version/10.1 Safari/603.1.30
61 39779 0.26% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
62 38610 0.25% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.12; rv:52.0) Gecko/20100101 Firefox/52.0
63 37575 0.25% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
64 36459 0.24% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.81 Safari/537.36
65 33692 0.22% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.81 Safari/537.36
66 33398 0.22% Safari/12602.1.50.0.10 CFNetwork/807.0.4 Darwin/16.0.0 (x86_64)
67 33155 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_4) AppleWebKit/603.1.30 (KHTML, like Gecko)
68 32925 0.22% Safari/10603.1.30.0.34 CFNetwork/720.5.7 Darwin/14.5.0 (x86_64)
69 32396 0.21% MobileSafari/602.1 CFNetwork/808.1.4 Darwin/16.1.0
70 32259 0.21% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:52.0) Gecko/20100101 Firefox/52.0
71 32248 0.21% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
72 32041 0.21% Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
73 31686 0.21% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36
74 31189 0.20% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
75 31052 0.20% Mozilla/4.0 (compatible;)
76 29763 0.19% Mozilla/5.0 (Linux; Android) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.131 Safari/537.36
77 28544 0.19% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
78 28197 0.18% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko
79 28179 0.18% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/601.7.7 (KHTML, like Gecko) Version/9.1.2 Safari/601.7.7
80 27817 0.18% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
81 27638 0.18% Mozilla/5.0 (X11; Linux x86_64; rv:45.0) Gecko/20100101 Firefox/45.0
82 27077 0.18% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:40.0) Gecko/20100101 Firefox/40.1
83 26748 0.18% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
84 26746 0.18% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
85 26653 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.81 Safari/537.36
86 26596 0.17% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36 OPR/43.0.2442.1
87 26503 0.17% Mozilla/5.0 (X11; Linux x86_64; rv:52.0) Gecko/20100101 Firefox/52.0
88 25745 0.17% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:51.0) Gecko/20100101 Firefox/51.0
89 25244 0.17% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
90 25228 0.17% Java/1.8.0_121
91 25213 0.17% Java/1.8.0_112
92 24906 0.16% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0
93 24904 0.16% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/13.105
94 24575 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
95 24304 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/603.1.30 (KHTML, like Gecko) Version/10.1 Safari/603.1.30
96 24146 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
97 24088 0.16% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.110 Safari/537.36
98 23761 0.16% Mozilla/5.0 (Linux; Android 4.2.1; en-us; Nexus 5 Build/JOP40D) AppleWebKit/535.19 (KHTML, like Gecko; googleweblight) Chrome
99 23509 0.15% 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
100 23011 0.15% Safari/12602.3.12.0.1 CFNetwork/807.2.14 Darwin/16.3.0 (x86_64)

Usage by Country for April 2017

Top 30 of 225 Total Countries
# Hits Files KBytes Country
1 2238988 14.66% 1769586 13.88% 1346968278 5.93% Network (net)
2 2129289 13.94% 1881624 14.76% 813249719 3.58% Commercial (com)
3 1628738 10.66% 1326382 10.41% 6324159971 27.83% China
4 1262047 8.26% 1149098 9.02% 3541605423 15.58% India
5 1124344 7.36% 955919 7.50% 623059093 2.74% United States
6 846650 5.54% 728817 5.72% 579385672 2.55% Educational (edu)
7 321119 2.10% 280093 2.20% 154304521 0.68% Brazil
8 272188 1.78% 225892 1.77% 251864448 1.11% Turkey
9 252305 1.65% 206444 1.62% 194353729 0.86% Germany
10 249821 1.64% 199736 1.57% 252337697 1.11% Korea, Republic of
11 240903 1.58% 216147 1.70% 752717670 3.31% Thailand
12 234428 1.53% 204353 1.60% 1213450908 5.34% Iran
13 232648 1.52% 209559 1.64% 398123673 1.75% Indonesia
14 229113 1.50% 205982 1.62% 132599371 0.58% Poland
15 209587 1.37% 145867 1.14% 142686726 0.63% Japan
16 196986 1.29% 163967 1.29% 102468081 0.45% Russian Federation
17 196706 1.29% 157285 1.23% 148267268 0.65% Canada
18 180183 1.18% 148259 1.16% 163230389 0.72% Australia
19 157223 1.03% 119666 0.94% 108148924 0.48% Italy
20 152478 1.00% 140362 1.10% 421964425 1.86% Pakistan
21 134439 0.88% 107140 0.84% 58290940 0.26% Mexico
22 132928 0.87% 123655 0.97% 136917724 0.60% Viet Nam
23 129391 0.85% 102929 0.81% 96825965 0.43% France
24 122375 0.80% 112325 0.88% 77872532 0.34% Taiwan
25 121124 0.79% 108471 0.85% 274797659 1.21% Malaysia
26 106287 0.70% 89545 0.70% 89799925 0.40% Spain
27 101992 0.67% 84702 0.66% 135708139 0.60% Singapore
28 98590 0.65% 84132 0.66% 89369330 0.39% Great Britain (UK)
29 84397 0.55% 75469 0.59% 82101069 0.36% Unresolved/Unknown
30 80585 0.53% 67734 0.53% 694978293 3.06% Hong Kong

Generated by Webalizer Version 2.23