Usage Statistics for archive.ics.uci.edu

Summary Period: February 2016
Generated 01-Mar-2016 06:24 PST

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

Monthly Statistics for February 2016
Total Hits 17391229
Total Files 16364919
Total Pages 10787116
Total Visits 354411
Total KBytes 31144165851
Total Unique Sites 141512
Total Unique URLs 10858
Total Unique Referrers 12627
Total Unique Usernames 3
Total Unique User Agents 10609
. Avg Max
Hits per Hour 24987 124938
Hits per Day 599697 2193641
Files per Day 564307 2132191
Pages per Day 371969 1898543
Sites per Day 4879 10808
Visits per Day 12221 48035
KBytes per Day 1073936753 4937772276
Hits by Response Code
Undefined response code 0.00% 156
Code 200 - OK 94.10% 16364919
Code 206 - Partial Content 0.54% 94166
Code 301 - Moved Permanently 2.19% 381326
Code 302 - Found 0.02% 3900
Code 304 - Not Modified 0.69% 120837
Code 400 - Bad Request 0.00% 49
Code 403 - Forbidden 0.00% 41
Code 404 - Not Found 2.43% 422985
Code 405 - Method Not Allowed 0.01% 1640
Code 406 - Not Acceptable 0.00% 448
Code 416 - Requested Range Not Satisfiable 0.00% 30
Code 500 - Internal Server Error 0.00% 723
Code 501 - Not Implemented 0.00% 9

Daily usage for February 2016

Daily Statistics for February 2016
Day Hits Files Pages Visits Sites KBytes
1 2193641 12.61% 2132191 13.03% 1898543 17.60% 38543 10.88% 9197 6.50% 732192808 2.35%
2 1432797 8.24% 1376657 8.41% 1150909 10.67% 48035 13.55% 9087 6.42% 1570003002 5.04%
3 131812 0.76% 125179 0.76% 85051 0.79% 5613 1.58% 1844 1.30% 146344560 0.47%
4 612339 3.52% 584765 3.57% 463122 4.29% 18286 5.16% 5155 3.64% 303990167 0.98%
5 860763 4.95% 834090 5.10% 630613 5.85% 14094 3.98% 7449 5.26% 569865929 1.83%
6 1167229 6.71% 1144599 6.99% 944864 8.76% 20176 5.69% 7367 5.21% 660364853 2.12%
7 1358232 7.81% 1336431 8.17% 1112325 10.31% 20508 5.79% 7356 5.20% 1474102488 4.73%
8 1066274 6.13% 1034905 6.32% 802698 7.44% 12335 3.48% 8394 5.93% 1425196431 4.58%
9 600075 3.45% 571377 3.49% 331897 3.08% 9354 2.64% 8691 6.14% 556518265 1.79%
10 531121 3.05% 419981 2.57% 309512 2.87% 8380 2.36% 7711 5.45% 530976850 1.70%
11 408028 2.35% 387058 2.37% 188960 1.75% 7700 2.17% 7800 5.51% 626669888 2.01%
12 405799 2.33% 388738 2.38% 214813 1.99% 7119 2.01% 7569 5.35% 631274547 2.03%
13 431031 2.48% 409817 2.50% 258429 2.40% 5436 1.53% 5937 4.20% 1206924455 3.88%
14 458484 2.64% 418512 2.56% 262876 2.44% 6634 1.87% 7050 4.98% 326158695 1.05%
15 404227 2.32% 358635 2.19% 111616 1.03% 8787 2.48% 8942 6.32% 2053923744 6.59%
16 432318 2.49% 405645 2.48% 164830 1.53% 8820 2.49% 9145 6.46% 1927675633 6.19%
17 1025892 5.90% 881893 5.39% 759337 7.04% 24102 6.80% 8988 6.35% 710666881 2.28%
18 355563 2.04% 333343 2.04% 88668 0.82% 8261 2.33% 8695 6.14% 535419556 1.72%
19 350911 2.02% 322357 1.97% 131773 1.22% 6820 1.92% 7328 5.18% 1268283329 4.07%
20 391279 2.25% 363045 2.22% 193573 1.79% 6282 1.77% 6548 4.63% 1622751422 5.21%
21 387232 2.23% 357352 2.18% 147902 1.37% 7322 2.07% 7708 5.45% 660052648 2.12%
22 502022 2.89% 452954 2.77% 185125 1.72% 9351 2.64% 9509 6.72% 720316625 2.31%
23 352112 2.02% 321437 1.96% 68181 0.63% 9435 2.66% 9913 7.01% 4032162370 12.95%
24 335305 1.93% 306996 1.88% 61522 0.57% 9700 2.74% 9749 6.89% 561559343 1.80%
25 71775 0.41% 67445 0.41% 23905 0.22% 1919 0.54% 1915 1.35% 77289047 0.25%
26 241014 1.39% 221825 1.36% 47828 0.44% 6650 1.88% 7097 5.02% 326414625 1.05%
27 225215 1.29% 206397 1.26% 41791 0.39% 6746 1.90% 7087 5.01% 523441188 1.68%
28 283742 1.63% 260279 1.59% 52110 0.48% 8641 2.44% 8556 6.05% 425854225 1.37%
29 374997 2.16% 341016 2.08% 54343 0.50% 10443 2.95% 10808 7.64% 4937772276 15.85%

Hourly usage for February 2016

Hourly Statistics for February 2016
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 26394 765435 4.40% 24909 722375 4.41% 16465 477492 4.43% 32599041 945372183 3.04%
1 26286 762295 4.38% 24792 718995 4.39% 15850 459668 4.26% 58364985 1692584553 5.43%
2 26077 756240 4.35% 24840 720384 4.40% 16222 470441 4.36% 40106491 1163088228 3.73%
3 27903 809205 4.65% 26175 759099 4.64% 18630 540275 5.01% 60254130 1747369775 5.61%
4 27573 799628 4.60% 25796 748112 4.57% 18376 532928 4.94% 87527106 2538286061 8.15%
5 28649 830830 4.78% 26700 774314 4.73% 19266 558733 5.18% 86307219 2502909340 8.04%
6 27797 806135 4.64% 26540 769665 4.70% 17493 507322 4.70% 59786748 1733815689 5.57%
7 28753 833844 4.79% 27681 802755 4.91% 17785 515777 4.78% 30983723 898527963 2.89%
8 27154 787473 4.53% 26132 757850 4.63% 16251 471290 4.37% 44710108 1296593141 4.16%
9 24542 711719 4.09% 23414 679008 4.15% 13799 400175 3.71% 26201668 759848382 2.44%
10 24862 721015 4.15% 23614 684807 4.18% 14369 416722 3.86% 28516629 826982250 2.66%
11 23764 689160 3.96% 22555 654098 4.00% 13166 381815 3.54% 39804701 1154336335 3.71%
12 23116 670368 3.85% 21819 632777 3.87% 12900 374112 3.47% 55064753 1596877832 5.13%
13 22697 658213 3.78% 21372 619807 3.79% 13447 389972 3.62% 45231597 1311716313 4.21%
14 24548 711905 4.09% 22353 648238 3.96% 15869 460205 4.27% 32132187 931833427 2.99%
15 21812 632576 3.64% 20709 600578 3.67% 14271 413860 3.84% 16637487 482487112 1.55%
16 23021 667610 3.84% 21243 616063 3.76% 15686 454898 4.22% 13647045 395764311 1.27%
17 24478 709874 4.08% 22793 661013 4.04% 16314 473108 4.39% 15735808 456338442 1.47%
18 24178 701167 4.03% 22528 653324 3.99% 15458 448297 4.16% 17677057 512634646 1.65%
19 22452 651124 3.74% 20955 607717 3.71% 14010 406298 3.77% 28717906 832819283 2.67%
20 23284 675256 3.88% 21822 632860 3.87% 13950 404562 3.75% 50977958 1478360778 4.75%
21 23647 685765 3.94% 22035 639036 3.90% 14736 427348 3.96% 85101914 2467955519 7.92%
22 24361 706475 4.06% 22511 652832 3.99% 14608 423655 3.93% 78250097 2269252824 7.29%
23 22341 647917 3.73% 21007 609212 3.72% 13040 378163 3.51% 39600395 1148411464 3.69%

Top 100 of 10858 Total URLs
# Hits KBytes URL
1 8492860 48.83% 150181716 0.48% /ml/datasets.html
2 338643 1.95% 1298506156 4.17% /ml/machine-learning-databases/adult/adult.data
3 321163 1.85% 6053916 0.02% /ml/
4 106997 0.62% 471212 0.00% /ml/machine-learning-databases/iris/iris.data
5 60604 0.35% 6340646 0.02% /ml/datasets/
6 27746 0.16% 1789628 0.01% /ml/datasets/Iris
7 24121 0.14% 251652 0.00% /ml/machine-learning-databases/wine/wine.data
8 20696 0.12% 1638 0.00% /
9 17503 0.10% 674075 0.00% /ml/datasets/Adult
10 16941 0.10% 260666 0.00% /ml//datasets.html
11 15977 0.09% 1005688 0.00% /ml/machine-learning-databases/
12 13306 0.08% 20740 0.00% /ml/machine-learning-databases/iris/
13 11569 0.07% 400280 0.00% /ml/datasets/Wine
14 10262 0.06% 17955 0.00% /ml/machine-learning-databases/adult/
15 8828 0.05% 10522929470 33.79% /ml/machine-learning-databases/00340/data.zip
16 8744 0.05% 456979 0.00% /ml/datasets/Heart+Disease
17 8571 0.05% 169254 0.00% /ml/datasets/Car+Evaluation
18 7834 0.05% 83531 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
19 7588 0.04% 239505 0.00% /ml/datasets/Housing
20 7511 0.04% 64420 0.00% /ml/datasets/Wine+Quality
21 7503 0.04% 18261 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
22 6942 0.04% 269791 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
23 6565 0.04% 8832 0.00% /ml/machine-learning-databases/wine/
24 6516 0.04% 79499874 0.26% /ml/machine-learning-databases/00337/sNewsListWResults3yr.zip
25 6392 0.04% 299998765 0.96% /ml/machine-learning-databases/00288/leaf.zip
26 6005 0.03% 167256 0.00% /ml/datasets/Abalone
27 5919 0.03% 2124510 0.01% /ml/machine-learning-databases/statlog/segment/segment.dat
28 5738 0.03% 129256 0.00% /ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data
29 5732 0.03% 271995 0.00% /ml/machine-learning-databases/housing/housing.data
30 5644 0.03% 7698 0.00% /ml/machine-learning-databases/car/
31 5523 0.03% 23529 0.00% /ml/machine-learning-databases/heart-disease/
32 5315 0.03% 15269 0.00% /ml/machine-learning-databases/iris/iris.names
33 5263 0.03% 23241 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
34 5117 0.03% 62501 0.00% /ml/datasets/Online+News+Popularity
35 5007 0.03% 55267 0.00% /ml/datasets/Student+Performance
36 4984 0.03% 54245 0.00% /ml/datasets/Bank+Marketing
37 4953 0.03% 80221 0.00% /ml/datasets/Statlog+(German+Credit+Data)
38 4942 0.03% 3059946386 9.83% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
39 4921 0.03% 6853 0.00% /ml/machine-learning-databases/wine-quality/
40 4848 0.03% 44627 0.00% /ml/datasets/Poker+Hand
41 4775 0.03% 23952 0.00% /ml/machine-learning-databases/adult/adult.names
42 4698 0.03% 6409485 0.02% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
43 4691 0.03% 74946 0.00% /ml/datasets/Auto+MPG
44 4657 0.03% 88920 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
45 4600 0.03% 368506 0.00% /ml/machine-learning-databases/wine-quality/winequality-red.csv
46 4455 0.03% 43628 0.00% /ml/datasets/Forest+Fires
47 4323 0.02% 42389 0.00% /ml/datasets/Internet+Advertisements
48 4311 0.02% 781175 0.00% /ml/machine-learning-databases/abalone/abalone.data
49 4241 0.02% 162061 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
50 4154 0.02% 51056 0.00% /ml/datasets/Spambase
51 4137 0.02% 119567 0.00% /ml/datasets/Pima+Indians+Diabetes
52 4125 0.02% 481038 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
53 4064 0.02% 5569 0.00% /ml/machine-learning-databases/housing/
54 3989 0.02% 3879 0.00% /ml/machine-learning-databases/00192/
55 3958 0.02% 38672531 0.12% /ml/machine-learning-databases/00260/nysk.xml.zip
56 3911 0.02% 7021409 0.02% /ml/machine-learning-databases/adult/adult.test
57 3891 0.02% 5340 0.00% /ml/machine-learning-databases/abalone/
58 3803 0.02% 101359368 0.33% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
59 3727 0.02% 145883 0.00% /ml/datasets/Mushroom
60 3657 0.02% 154131 0.00% /ml/datasets/Diabetes
61 3643 0.02% 5791 0.00% /ml/machine-learning-databases/auto-mpg/
62 3612 0.02% 37247 0.00% /ml/datasets/Bike+Sharing+Dataset
63 3482 0.02% 99790 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
64 3481 0.02% 173018 0.00% /ml/machine-learning-databases/car/car.data
65 3464 0.02% 42231 0.00% /ml/datasets/Automobile
66 3421 0.02% 5335 0.00% /ml/machine-learning-databases/statlog/german/
67 3396 0.02% 169902504 0.55% /ml/machine-learning-databases/00318/NoisyOffice.zip
68 3388 0.02% 1638638 0.01% /ml/machine-learning-databases/00222/bank.zip
69 3378 0.02% 230928 0.00% /ml/datasets/Breast+Cancer
70 3370 0.02% 4095 0.00% /ml/machine-learning-databases/00240/
71 3355 0.02% 267577563 0.86% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
72 3351 0.02% 836213 0.00% /ml/machine-learning-databases/wine-quality/winequality-white.csv
73 3317 0.02% 2640685555 8.48% /ml/machine-learning-databases/00269/dir_data.tar
74 3300 0.02% 45775 0.00% /ml/datasets/Smartphone-Based+Recognition+of+Human+Activities+and+Postural+Transitions
75 3278 0.02% 9559 0.00% /ml/machine-learning-databases/wine/wine.names
76 3255 0.02% 33769 0.00% /ml/datasets/Credit+Approval
77 3223 0.02% 113357357 0.36% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
78 3221 0.02% 36536 0.00% /ml/datasets/Educational+Process+Mining+(EPM):+A+Learning+Analytics+Data+Set
79 3214 0.02% 74901 0.00% /ml/datasets/Census+Income
80 3214 0.02% 5276 0.00% /ml/machine-learning-databases/pima-indians-diabetes/
81 3182 0.02% 61370 0.00% /ml/datasets/Letter+Recognition
82 3178 0.02% 3785 0.00% /ml/machine-learning-databases/00222/
83 3169 0.02% 26433 0.00% /ml/datasets/HEPMASS
84 3123 0.02% 856029130 2.75% /ml/machine-learning-databases/00344/Activity recognition exp.zip
85 3045 0.02% 28115 0.00% /ml/datasets/Chronic_Kidney_Disease
86 2947 0.02% 4247 0.00% /ml/machine-learning-databases/poker/
87 2942 0.02% 82400616 0.26% /ml/machine-learning-databases/00341/HAPT Data Set.zip
88 2939 0.02% 566897872 1.82% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
89 2920 0.02% 4695 0.00% /ml/machine-learning-databases/mushroom/
90 2898 0.02% 26645 0.00% /ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008
91 2877 0.02% 24069 0.00% /ml/datasets/Individual+household+electric+power+consumption
92 2876 0.02% 5075 0.00% /ml/machine-learning-databases/credit-screening/
93 2841 0.02% 2783 0.00% /ml/machine-learning-databases/00320/
94 2817 0.02% 4482 0.00% /ml/machine-learning-databases/internet_ads/
95 2773 0.02% 369565472 1.19% /ml/machine-learning-databases/00339/train.csv.zip
96 2738 0.02% 33134 0.00% /ml/datasets/Heterogeneity+Activity+Recognition
97 2736 0.02% 8177 0.00% /ml/machine-learning-databases/car/car.names
98 2691 0.02% 3210 0.00% /ml/machine-learning-databases/forest-fires/
99 2690 0.02% 30034 0.00% /ml/datasets/Flags
100 2687 0.02% 2696 0.00% /ml/machine-learning-databases/00332/

Top 100 of 10858 Total URLs By KBytes
# Hits KBytes URL
1 8828 0.05% 10522929470 33.79% /ml/machine-learning-databases/00340/data.zip
2 4942 0.03% 3059946386 9.83% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
3 3317 0.02% 2640685555 8.48% /ml/machine-learning-databases/00269/dir_data.tar
4 1891 0.01% 1708621389 5.49% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
5 1753 0.01% 1496245808 4.80% /ml/machine-learning-databases/00347/all_train.csv.gz
6 334 0.00% 1496002995 4.80% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
7 338643 1.95% 1298506156 4.17% /ml/machine-learning-databases/adult/adult.data
8 1456 0.01% 958746592 3.08% /ml/machine-learning-databases/00251/WTD_upload.zip
9 3123 0.02% 856029130 2.75% /ml/machine-learning-databases/00344/Activity recognition exp.zip
10 1081 0.01% 668021527 2.14% /ml/machine-learning-databases/00280/HIGGS.csv.gz
11 2939 0.02% 566897872 1.82% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
12 1017 0.01% 451572871 1.45% /ml/machine-learning-databases/00347/all_test.csv.gz
13 1096 0.01% 418587572 1.34% /ml/machine-learning-databases/00279/SUSY.csv.gz
14 2773 0.02% 369565472 1.19% /ml/machine-learning-databases/00339/train.csv.zip
15 1238 0.01% 313693996 1.01% /ml/machine-learning-databases/00347/1000_test.csv.gz
16 6392 0.04% 299998765 0.96% /ml/machine-learning-databases/00288/leaf.zip
17 518 0.00% 273907740 0.88% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
18 211 0.00% 273095838 0.88% /ml/machine-learning-databases/00347/1000_train.csv.gz
19 3355 0.02% 267577563 0.86% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
20 330 0.00% 266894185 0.86% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
21 636 0.00% 193223161 0.62% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
22 3396 0.02% 169902504 0.55% /ml/machine-learning-databases/00318/NoisyOffice.zip
23 747 0.00% 150256664 0.48% /ml/machine-learning-databases/00322/data.zip
24 8492860 48.83% 150181716 0.48% /ml/datasets.html
25 121 0.00% 148756222 0.48% /ml/machine-learning-databases/00347/not1000_train.csv.gz
26 1417 0.01% 124891178 0.40% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
27 3223 0.02% 113357357 0.36% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
28 466 0.00% 102617354 0.33% /ml/machine-learning-databases/00306/dataset_segmentation.rar
29 3803 0.02% 101359368 0.33% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
30 2169 0.01% 101194793 0.32% /ml/machine-learning-databases/00328/ghg_data.zip
31 2565 0.01% 98825527 0.32% /ml/machine-learning-databases/00256/data.zip
32 2942 0.02% 82400616 0.26% /ml/machine-learning-databases/00341/HAPT Data Set.zip
33 6516 0.04% 79499874 0.26% /ml/machine-learning-databases/00337/sNewsListWResults3yr.zip
34 335 0.00% 74846554 0.24% /ml/machine-learning-databases/p53/p53_new_2012.zip
35 621 0.00% 72008888 0.23% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
36 1044 0.01% 70442550 0.23% /ml/machine-learning-databases/url/url_svmlight.tar.gz
37 866 0.00% 64377648 0.21% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
38 107 0.00% 59992544 0.19% /ml/machine-learning-databases/00347/not1000_test.csv.gz
39 462 0.00% 48479648 0.16% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
40 2353 0.01% 44608832 0.14% /ml/machine-learning-databases/poker/poker-hand-testing.data
41 3958 0.02% 38672531 0.12% /ml/machine-learning-databases/00260/nysk.xml.zip
42 995 0.01% 38151667 0.12% /ml/machine-learning-databases/00210/donation.zip
43 465 0.00% 37026256 0.12% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
44 885 0.01% 26995544 0.09% /ml/machine-learning-databases/volcanoes-mld/volcanoes.tar.gz
45 995 0.01% 26678552 0.09% /ml/machine-learning-databases/00326/TV_News_Channel_Commercial_Detection_Dataset.zip
46 654 0.00% 26194056 0.08% /ml/machine-learning-databases/00239/corpus.zip
47 198 0.00% 25400668 0.08% /ml/machine-learning-databases/00258/MultiLingualReuters.tar.bz2
48 1554 0.01% 23286232 0.07% /ml/machine-learning-databases/00352/Online Retail.xlsx
49 882 0.01% 22953975 0.07% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
50 394 0.00% 20779737 0.07% /ml/machine-learning-databases/00204/PEMS-SF.zip
51 1589 0.01% 20175940 0.06% /ml/machine-learning-databases/00235/household_power_consumption.zip
52 678 0.00% 19477566 0.06% /ml/machine-learning-databases/gisette/GISETTE/gisette_train.data
53 616 0.00% 17356738 0.06% /ml/machine-learning-databases/gisette/GISETTE/gisette_test.data
54 1674 0.01% 17189848 0.06% /ml/machine-learning-databases/00344/Still exp.zip
55 697 0.00% 16806718 0.05% /ml/machine-learning-databases/00349/OULAD.zip
56 1046 0.01% 14626894 0.05% /ml/machine-learning-databases/00246/3D_spatial_network.txt
57 646 0.00% 14463805 0.05% /ml/machine-learning-databases/00248/regression.tar.gz
58 236 0.00% 13008706 0.04% /ml/databases/volcanoes/volcanoes.tar.gz
59 252 0.00% 12715316 0.04% /ml/machine-learning-databases/00205/OpinRankDataset.zip
60 572 0.00% 11446864 0.04% /ml/machine-learning-databases/00325/Sensorless_drive_diagnosis.txt
61 1344 0.01% 11022896 0.04% /ml/machine-learning-databases/internet_ads/ad.data
62 475 0.00% 10423593 0.03% /ml/machine-learning-databases/00195/Train_Arabic_Digit.txt
63 123 0.00% 10201597 0.03% /ml/machine-learning-databases/00268/Data.zip
64 537 0.00% 9957202 0.03% /ml/machine-learning-databases/00196/ConfLongDemo_JSI.txt
65 2290 0.01% 9802912 0.03% /ml/machine-learning-databases/00332/OnlineNewsPopularity.zip
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Top 10 of 2489 Total Exit Pages
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Top 100 of 10609 Total User Agents
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5 447247 2.57% UCI Inf141-CS121 crawler 24362380 92485069 75109725
6 396378 2.28% Java/1.8.0_60
7 378608 2.18% IR_W16_WebCrawler_14563364_70969866_95626832
8 366311 2.11% \x1cIR W16 WebCrawler 58126195
9 331700 1.91% crawler4j (https://github.com/yasserg/crawler4j/)
10 282192 1.62% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.109 Safari/537.36
11 273958 1.58% IR W16 WebCrawler 86027768
12 261681 1.50% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.109 Safari/537.36
13 255709 1.47% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
14 253070 1.46% test
15 243611 1.40% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
16 211495 1.22% IR W16 WebCrawler 64882986 84361951 95083419
17 207298 1.19% IR W16 WebCrawler 75307532_92707006_48565650
18 187510 1.08% IRW16WebCrawler 11241139/44859086
19 181797 1.05% IR W16 WebCrawler 56246754/14846657
20 166843 0.96% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.103 Safari/537.36
21 160127 0.92% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:44.0) Gecko/20100101 Firefox/44.0
22 154851 0.89% crawler4j (http://code.google.com/p/crawler4j/)
23 149808 0.86% IR W16 WebCrawler 10283095 55128134 78084276
24 148059 0.85% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.103 Safari/537.36
25 145311 0.84% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.109 Safari/537.36
26 141860 0.82% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/601.4.4 (KHTML, like Gecko) Version/9.0.3 Safari/601.4.4
27 140191 0.81% IR W16 WebCrawler 39088451/59682772
28 134942 0.78% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
29 132585 0.76% IR W16 WebCrawler 79403075 85686586 42686317
30 128100 0.74% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.97 Safari/537.36
31 123119 0.71% IR W16 WebCrawler 29166571 17922404
32 119504 0.69% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:44.0) Gecko/20100101 Firefox/44.0
33 114239 0.66% UCI Inf141-CS121 crawler 25672002 36492346 28152667
34 112008 0.64% UCI Inf141-CS121 crawler 25188060
35 111231 0.64% UCI Inf141-CS121 crawler [31309641 66896191 31543132]
36 110476 0.64% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
37 109979 0.63% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:44.0) Gecko/20100101 Firefox/44.0
38 102335 0.59% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
39 100775 0.58% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.97 Safari/537.36
40 94478 0.54% IR W16 WebCrawler 52843031
41 88082 0.51% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.103 Safari/537.36
42 83271 0.48% UCI Inf141-CS121 crawler 73441019 46428935
43 82492 0.47% UCI Inf141-CS121 crawler 44205300, 75785003, 86393292, 21662471
44 81580 0.47% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.109 Safari/537.36
45 81434 0.47% UCI Inf141-CS121 crawler 38583804 57469681 15478508 52372105
46 80993 0.47% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
47 78268 0.45% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:43.0) Gecko/20100101 Firefox/43.0
48 75836 0.44% UCI Inf141-CS121 crawler 21002514 26525405 52471399 47121075
49 74788 0.43% Mozilla/5.0 (Windows NT 6.1; rv:44.0) Gecko/20100101 Firefox/44.0
50 74575 0.43% IR W16 WebCrawler 63202980
51 71717 0.41% UCI Inf141-CS121 crawler 63393716 32393047 22863530 82181685
52 70567 0.41% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:44.0) Gecko/20100101 Firefox/44.0
53 69935 0.40% UCI Inf141-CS121 crawler 47152500 90865041 72109785 11195112
54 69764 0.40% 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
55 68877 0.40% IR W16 WebCrawler 82482058 10281999
56 66723 0.38% Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)
57 63978 0.37% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.109 Safari/537.36
58 63427 0.36% UCI Inf141-CS121 crawler 45102404 87356387 23808695
59 62650 0.36% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.97 Safari/537.36
60 61351 0.35% UCI Inf141-CS121 crawler 75247469 64599035 23475295
61 58618 0.34% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
62 55871 0.32% UCI Inf141-CS121 crawler 92485069 24362380 75109725
63 53097 0.31% User-Agent: BC test support UCI webcrawler
64 51977 0.30% IR W16 WebCrawler 22081516 84561910 67448368
65 50823 0.29% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.103 Safari/537.36
66 50461 0.29% UCI Inf141-CS121 crawler 82425468 24073320 13828643
67 49942 0.29% UCI Inf141-CS121 crawler 57537914 90075322 12478726 48846305
68 49024 0.28% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/601.4.4 (KHTML, like Gecko) Version/9.0.3 Safari/601.4.4
69 47784 0.27% UCI Inf141-CS121 crawler 13793954 63891041 31348951 23239917
70 47768 0.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.109 Safari/537.36
71 47370 0.27% Python-urllib/2.7
72 46150 0.27% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:43.0) Gecko/20100101 Firefox/43.0
73 45363 0.26% UCI Inf141-CS121 crawler 43299676 64766061
74 42698 0.25% UCI Inf141-CS121 crawler 33196560 18923814 56956077 52478518
75 42521 0.24% UCI Inf141-CS121 crawler 60499432 60751837 69997413
76 41751 0.24% UCI Inf141-CS121 crawler 83896263 50612443 59801796 39259741
77 41275 0.24% UCI Inf141-CS121 crawler 31348951 23239917 13793954 63891041
78 40788 0.23% UCI Inf141-CS121 crawler 57104705 69666911 80147413 68835166
79 40737 0.23% UCI Inf141-CS121 crawler 24616146
80 38582 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9
81 37060 0.21% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.103 Safari/537.36
82 36560 0.21% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:43.0) Gecko/20100101 Firefox/43.0
83 36498 0.21% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.97 Safari/537.36
84 34919 0.20% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.97 Safari/537.36
85 34259 0.20% CCBot/2.0 (http://commoncrawl.org/faq/)
86 33014 0.19% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
87 32917 0.19% UCI Inf141-CS121 crawler 92329177 26711148 27312677 37503335
88 32824 0.19% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
89 32822 0.19% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.97 Safari/537.36
90 32792 0.19% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.109 Safari/537.36
91 32578 0.19% UCI Inf141-CS121 crawler 75587563 55688089 33865312
92 30767 0.18% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko
93 30597 0.18% Mozilla/5.0 (Windows NT 6.1; rv:43.0) Gecko/20100101 Firefox/43.0
94 29434 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.103 Safari/537.36
95 28916 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.97 Safari/537.36
96 28166 0.16% python-requests/2.9.1
97 27004 0.16% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.111 Safari/537.36
98 26980 0.16% Mozilla/5.0 (compatible; Applebot/0.3; +http://www.apple.com/go/applebot)
99 26695 0.15% Mozilla/4.0 (compatible;)
100 25851 0.15% UCI Inf141-CS121 crawler 78948862 31666553 11686725 82682616

Usage by Country for February 2016

Top 30 of 70 Total Countries
# Hits Files KBytes Country
1 15499009 89.12% 14646609 89.50% 30736162039 98.69% Unresolved/Unknown
2 1247582 7.17% 1178959 7.20% 159963913 0.51% Educational (edu)
3 484793 2.79% 483606 2.96% 127506766 0.41% Network (net)
4 103964 0.60% 97668 0.60% 25047325 0.08% Commercial (com)
5 6516 0.04% 6182 0.04% 11038547 0.04% India
6 3891 0.02% 3760 0.02% 3620503 0.01% Ireland
7 3154 0.02% 2929 0.02% 14920315 0.05% Germany
8 2917 0.02% 2699 0.02% 6289177 0.02% France
9 2671 0.02% 2535 0.02% 1794888 0.01% Poland
10 2654 0.02% 2519 0.02% 3412411 0.01% Colombia
11 2462 0.01% 2251 0.01% 10298277 0.03% Japan
12 2375 0.01% 2041 0.01% 230907 0.00% Singapore
13 2302 0.01% 2242 0.01% 95820 0.00% Turkey
14 2297 0.01% 2052 0.01% 3422536 0.01% United Kingdom
15 2288 0.01% 2120 0.01% 222237 0.00% Pakistan
16 1737 0.01% 1645 0.01% 1210255 0.00% Non-Profit (org)
17 1705 0.01% 1629 0.01% 43223 0.00% Spain
18 1486 0.01% 1403 0.01% 253193 0.00% Saudi Arabia
19 1377 0.01% 1314 0.01% 128776 0.00% Italy
20 1330 0.01% 1298 0.01% 2970664 0.01% Malaysia
21 1209 0.01% 1160 0.01% 457311 0.00% China
22 954 0.01% 835 0.01% 199028 0.00% Hong Kong
23 892 0.01% 787 0.00% 2074105 0.01% US Government (gov)
24 883 0.01% 856 0.01% 1018106 0.00% Portugal
25 846 0.00% 632 0.00% 22662 0.00% Serbia
26 760 0.00% 704 0.00% 4553867 0.01% Belgium
27 726 0.00% 708 0.00% 531110 0.00% Mexico
28 680 0.00% 655 0.00% 5466 0.00% Brazil
29 671 0.00% 635 0.00% 7062 0.00% Soviet Union
30 544 0.00% 510 0.00% 7309 0.00% Estonia


Generated by Webalizer Version 2.21