Usage Statistics for archive.ics.uci.edu

Summary Period: June 2017
Generated 01-Jul-2017 06:16 PDT

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

Monthly Statistics for June 2017
Total Hits 18066479
Total Files 14938169
Total Pages 6978463
Total Visits 482643
Total KBytes 19454021681
Total Unique Sites 273027
Total Unique URLs 14156
Total Unique Referrers 21709
Total Unique Usernames 2
Total Unique User Agents 15146
. Avg Max
Hits per Hour 25092 45942
Hits per Day 602215 823329
Files per Day 497938 720091
Pages per Day 232615 445421
Sites per Day 9100 23162
Visits per Day 16088 18833
KBytes per Day 648467389 3449580362
Hits by Response Code
Code 200 - OK 82.68% 14938169
Code 206 - Partial Content 0.99% 178089
Code 301 - Moved Permanently 0.16% 28816
Code 302 - Found 0.03% 4638
Code 304 - Not Modified 1.04% 188188
Code 400 - Bad Request 0.00% 86
Code 403 - Forbidden 10.55% 1905337
Code 404 - Not Found 4.54% 820835
Code 405 - Method Not Allowed 0.01% 1781
Code 412 - Precondition Failed 0.00% 1
Code 416 - Requested Range Not Satisfiable 0.00% 537
Code 501 - Not Implemented 0.00% 2

Daily usage for June 2017

Daily Statistics for June 2017
Day Hits Files Pages Visits Sites KBytes
1 606985 3.36% 467328 3.13% 149058 2.14% 18184 3.77% 16732 6.13% 2277967474 11.71%
2 485176 2.69% 389291 2.61% 119643 1.71% 15956 3.31% 14839 5.43% 686378962 3.53%
3 489752 2.71% 391961 2.62% 147293 2.11% 14199 2.94% 12743 4.67% 1229123361 6.32%
4 544119 3.01% 437506 2.93% 172872 2.48% 15923 3.30% 14568 5.34% 462456592 2.38%
5 615330 3.41% 494454 3.31% 156896 2.25% 18331 3.80% 17290 6.33% 609032137 3.13%
6 592955 3.28% 479161 3.21% 147659 2.12% 18686 3.87% 17265 6.32% 531166806 2.73%
7 580746 3.21% 463999 3.11% 117621 1.69% 18833 3.90% 17241 6.31% 503014409 2.59%
8 517259 2.86% 409322 2.74% 103901 1.49% 17556 3.64% 16344 5.99% 466177120 2.40%
9 450855 2.50% 355306 2.38% 108834 1.56% 15340 3.18% 14295 5.24% 776304095 3.99%
10 414454 2.29% 331755 2.22% 129228 1.85% 13018 2.70% 11698 4.28% 261934453 1.35%
11 595468 3.30% 499903 3.35% 252576 3.62% 15065 3.12% 13894 5.09% 319231321 1.64%
12 696627 3.86% 585579 3.92% 258709 3.71% 18382 3.81% 16963 6.21% 387082562 1.99%
13 652455 3.61% 533011 3.57% 224753 3.22% 18073 3.74% 16976 6.22% 704077819 3.62%
14 624547 3.46% 502916 3.37% 209387 3.00% 17829 3.69% 16377 6.00% 677429209 3.48%
15 529921 2.93% 420251 2.81% 147793 2.12% 17149 3.55% 15781 5.78% 440212741 2.26%
16 540962 2.99% 443520 2.97% 206006 2.95% 15705 3.25% 14138 5.18% 541571826 2.78%
17 456453 2.53% 373136 2.50% 194913 2.79% 12940 2.68% 11601 4.25% 214731725 1.10%
18 472022 2.61% 379198 2.54% 165694 2.37% 14320 2.97% 13182 4.83% 283335241 1.46%
19 545541 3.02% 435399 2.91% 133680 1.92% 17482 3.62% 16080 5.89% 378682857 1.95%
20 506189 2.80% 401123 2.69% 112647 1.61% 17207 3.57% 15873 5.81% 327748587 1.68%
21 665519 3.68% 554635 3.71% 267635 3.84% 17528 3.63% 16117 5.90% 390489468 2.01%
22 787445 4.36% 661234 4.43% 378976 5.43% 16414 3.40% 15011 5.50% 3449580362 17.73%
23 672464 3.72% 579496 3.88% 354961 5.09% 14363 2.98% 13164 4.82% 334671797 1.72%
24 660487 3.66% 564925 3.78% 397867 5.70% 12357 2.56% 10784 3.95% 331716118 1.71%
25 675595 3.74% 581555 3.89% 409226 5.86% 13307 2.76% 12145 4.45% 275081394 1.41%
26 760478 4.21% 664067 4.45% 380985 5.46% 16603 3.44% 19918 7.30% 417018198 2.14%
27 823329 4.56% 720091 4.82% 432256 6.19% 17023 3.53% 23162 8.48% 521225669 2.68%
28 704020 3.90% 601389 4.03% 319799 4.58% 16213 3.36% 15997 5.86% 552811618 2.84%
29 773937 4.28% 677355 4.53% 445421 6.38% 16106 3.34% 14714 5.39% 788720052 4.05%
30 625389 3.46% 539303 3.61% 332174 4.76% 14455 2.99% 12775 4.68% 315047708 1.62%

Hourly usage for June 2017

Hourly Statistics for June 2017
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 30286 908601 5.03% 24981 749431 5.02% 10568 317065 4.54% 32216916 966507466 4.97%
1 30530 915914 5.07% 25351 760556 5.09% 10648 319464 4.58% 50455992 1513679759 7.78%
2 29093 872799 4.83% 24295 728864 4.88% 10808 324253 4.65% 111225567 3336767001 17.15%
3 27007 810239 4.48% 22531 675949 4.52% 11143 334318 4.79% 41182397 1235471923 6.35%
4 27255 817655 4.53% 22620 678602 4.54% 10363 310897 4.46% 19632424 588972727 3.03%
5 28063 841904 4.66% 23183 695514 4.66% 10182 305485 4.38% 18930274 567908207 2.92%
6 31366 940981 5.21% 25623 768715 5.15% 11048 331469 4.75% 28831732 864951954 4.45%
7 30140 904211 5.00% 24621 738653 4.94% 10479 314391 4.51% 33006651 990199543 5.09%
8 27650 829508 4.59% 22595 677870 4.54% 10025 300771 4.31% 48900305 1467009160 7.54%
9 25236 757091 4.19% 20737 622127 4.16% 9479 284391 4.08% 35054229 1051626856 5.41%
10 24478 734340 4.06% 20287 608610 4.07% 9325 279768 4.01% 27255290 817658692 4.20%
11 23922 717686 3.97% 19880 596411 3.99% 9408 282241 4.04% 21888597 656657913 3.38%
12 21976 659296 3.65% 18204 546127 3.66% 8595 257870 3.70% 16435837 493075112 2.53%
13 21723 651713 3.61% 17961 538841 3.61% 8677 260330 3.73% 11830817 354924505 1.82%
14 19982 599462 3.32% 16650 499525 3.34% 8417 252531 3.62% 11879081 356372438 1.83%
15 18428 552857 3.06% 15344 460326 3.08% 8375 251278 3.60% 9570215 287106449 1.48%
16 17614 528449 2.93% 14564 436945 2.93% 8133 243993 3.50% 9276850 278305512 1.43%
17 19139 574185 3.18% 15793 473793 3.17% 8462 253864 3.64% 9371747 281152416 1.45%
18 22572 677188 3.75% 18395 551862 3.69% 9040 271207 3.89% 18136977 544109306 2.80%
19 24992 749784 4.15% 20286 608595 4.07% 9711 291352 4.18% 22904555 687136657 3.53%
20 23777 713322 3.95% 19696 590903 3.96% 9880 296401 4.25% 16602583 498077477 2.56%
21 23421 702636 3.89% 19642 589276 3.94% 9531 285949 4.10% 20831344 624940328 3.21%
22 24923 747699 4.14% 20813 624413 4.18% 9796 293905 4.21% 12058516 361755484 1.86%
23 28631 858959 4.75% 23875 716261 4.79% 10509 315270 4.52% 20988493 629654797 3.24%

Top 100 of 14156 Total URLs
# Hits KBytes URL
1 4653461 25.76% 118152977 0.61% /ml/datasets.html
2 287701 1.59% 2833384 0.01% /ml/
3 201265 1.11% 2581303 0.01% /ml/datasets.html/datasets.html
4 133881 0.74% 1794266 0.01% /ml/datasets.html/datasets/datasets.html
5 110616 0.61% 1439396 0.01% /ml/datasets.html/datasets/datasets/datasets/datasets/datasets.html
6 110557 0.61% 1511001 0.01% /ml/datasets.html/datasets/datasets/datasets.html
7 95232 0.53% 418986 0.00% /ml/machine-learning-databases/iris/iris.data
8 73001 0.40% 988035 0.01% /ml/datasets.html/datasets/datasets/datasets/datasets.html
9 52670 0.29% 6357654 0.03% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
10 50651 0.28% 187393968 0.96% /ml/machine-learning-databases/adult/adult.data
11 44249 0.24% 593928 0.00% /ml//datasets.html
12 40391 0.22% 4513261247 23.20% /ml/machine-learning-databases/00280/HIGGS.csv.gz
13 37130 0.21% 3019709 0.02% /ml/machine-learning-databases/wine-quality/winequality-red.csv
14 32615 0.18% 8338547 0.04% /ml/machine-learning-databases/wine-quality/winequality-white.csv
15 30368 0.17% 389241 0.00% /ml/datasets.html/statlog/datasets/datasets/datasets/datasets/datasets.html
16 29186 0.16% 326633 0.00% /ml/datasets/student+performance
17 27118 0.15% 1893202 0.01% /ml/machine-learning-databases/
18 25044 0.14% 561670 0.00% /ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data
19 24503 0.14% 1762640 0.01% /ml/datasets/Iris
20 22433 0.12% 284875 0.00% /ml/datasets.html/statlog/datasets/datasets.html
21 21403 0.12% 223267 0.00% /ml/machine-learning-databases/wine/wine.data
22 19313 0.11% 352020325 1.81% /ml/machine-learning-databases/00344/Activity recognition exp.zip
23 16348 0.09% 25536 0.00% /ml/machine-learning-databases/iris/
24 15470 0.09% 621694 0.00% /ml/datasets/Adult
25 13705 0.08% 400 0.00% /
26 13179 0.07% 623967 0.00% /ml/machine-learning-databases/housing/housing.data
27 12666 0.07% 138203 0.00% /ml/datasets/Bank+Marketing
28 11613 0.06% 28463 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
29 11008 0.06% 382582 0.00% /ml/datasets/Wine
30 10991 0.06% 209570 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
31 10673 0.06% 18812 0.00% /ml/machine-learning-databases/adult/
32 10588 0.06% 207913 0.00% /ml/datasets/Car+Evaluation
33 10439 0.06% 407149 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
34 10149 0.06% 109092 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
35 10124 0.06% 18610299 0.10% /ml/machine-learning-databases/adult/adult.test
36 10113 0.06% 297037 0.00% /ml/datasets/Housing
37 9561 0.05% 82342 0.00% /ml/datasets/Wine+Quality
38 9538 0.05% 5211403 0.03% /ml/machine-learning-databases/optdigits/optdigits.tra
39 9050 0.05% 474460 0.00% /ml/datasets/Heart+Disease
40 8376 0.05% 708388 0.00% /ml/machine-learning-databases/undocumented/connectionist-bench/sonar/sonar.all-data
41 7983 0.04% 131323 0.00% /ml/datasets/Statlog+(German+Credit+Data)
42 7880 0.04% 220351 0.00% /ml/datasets/Abalone
43 7539 0.04% 10227 0.00% /ml/machine-learning-databases/wine/
44 7332 0.04% 212534797 1.09% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
45 6775 0.04% 696894090 3.58% /ml/machine-learning-databases/00361/data1.zip
46 6525 0.04% 18917 0.00% /ml/machine-learning-databases/iris/iris.names
47 6469 0.04% 27724 0.00% /ml/machine-learning-databases/heart-disease/
48 6444 0.04% 60976 0.00% /ml/datasets/default+of+credit+card+clients
49 6309 0.03% 49450 0.00% /ml/datasets/FMA:+A+Dataset+For+Music+Analysis
50 6296 0.03% 8489 0.00% /ml/machine-learning-databases/wine-quality/
51 6262 0.03% 7083851 0.04% /ml/machine-learning-databases/00344/Still exp.zip
52 6203 0.03% 179207 0.00% /ml/datasets/Pima+Indians+Diabetes
53 6194 0.03% 1122425 0.01% /ml/machine-learning-databases/abalone/abalone.data
54 6031 0.03% 8230 0.00% /ml/machine-learning-databases/car/
55 5776 0.03% 60226 0.00% /ml/datasets/Bike+Sharing+Dataset
56 5735 0.03% 80591767 0.41% /ml/machine-learning-databases/00352/Online Retail.xlsx
57 5636 0.03% 815179592 4.19% /ml/machine-learning-databases/00385/de.tar.bz2
58 5558 0.03% 51363 0.00% /ml/datasets/Poker+Hand
59 5425 0.03% 60546 0.00% /ml/datasets/Student+Performance
60 5385 0.03% 8857 0.00% /ml/machine-learning-databases/pima-indians-diabetes/
61 5297 0.03% 7208962 0.04% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
62 5141 0.03% 43750 0.00% /ml/datasets/Online+Retail
63 5110 0.03% 367250 0.00% /ml/datasets/iris
64 5077 0.03% 6063 0.00% /ml/machine-learning-databases/00222/
65 4956 0.03% 40655 0.00% /ml/datasets/YouTube+Spam+Collection
66 4897 0.03% 6731 0.00% /ml/machine-learning-databases/housing/
67 4874 0.03% 21265 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
68 4824 0.03% 36488 0.00% /ml/datasets/Beijing+PM2.5+Data
69 4814 0.03% 2098874 0.01% /ml/machine-learning-databases/00222/bank.zip
70 4810 0.03% 24090 0.00% /ml/machine-learning-databases/adult/adult.names
71 4809 0.03% 4695 0.00% /ml/machine-learning-databases/00192/
72 4770 0.03% 46890 0.00% /ml/datasets/Forest+Fires
73 4708 0.03% 233204 0.00% /ml/machine-learning-databases/car/car.data
74 4627 0.03% 140412530 0.72% /ml/machine-learning-databases/00288/leaf.zip
75 4594 0.03% 174304 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
76 4532 0.03% 38526 0.00% /ml/datasets/Cervical+cancer+(Risk+Factors)
77 4456 0.02% 173225 0.00% /ml/datasets/Mushroom
78 4451 0.02% 84755279 0.44% /ml/machine-learning-databases/poker/poker-hand-testing.data
79 4394 0.02% 44816 0.00% /ml/datasets/Air+Quality
80 4350 0.02% 36196 0.00% /ml/datasets/Wholesale+customers
81 4333 0.02% 5971 0.00% /ml/machine-learning-databases/abalone/
82 4264 0.02% 99843 0.00% /ml/datasets/Census+Income
83 4033 0.02% 46463 0.00% /ml/machine-learning-databases/glass/glass.data
84 4022 0.02% 115428 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
85 3934 0.02% 38318 0.00% /ml/datasets/Appliances+energy+prediction
86 3916 0.02% 6084 0.00% /ml/machine-learning-databases/statlog/german/
87 3904 0.02% 62037 0.00% /ml/datasets/Auto+MPG
88 3904 0.02% 48056 0.00% /ml/datasets/Automobile
89 3803 0.02% 259122 0.00% /ml/datasets/Breast+Cancer
90 3752 0.02% 42302 0.00% /ml/datasets/Flags
91 3634 0.02% 19771 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.names
92 3553 0.02% 162587571 0.84% /ml/machine-learning-databases/00339/train.csv.zip
93 3511 0.02% 10207 0.00% /ml/machine-learning-databases/wine/wine.names
94 3431 0.02% 37096 0.00% /ml/datasets/SMS+Spam+Collection
95 3426 0.02% 28929 0.00% /ml/datasets/seeds
96 3365 0.02% 28743 0.00% /ml/datasets/Energy+efficiency
97 3326 0.02% 30470 0.00% /ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008
98 3324 0.02% 1144508 0.01% /ml/machine-learning-databases/mushroom/agaricus-lepiota.data
99 3305 0.02% 248773 0.00% /ml/machine-learning-databases/statlog/german/german.data
100 3295 0.02% 34206 0.00% /ml/datasets/Credit+Approval

Top 100 of 14156 Total URLs By KBytes
# Hits KBytes URL
1 40391 0.22% 4513261247 23.20% /ml/machine-learning-databases/00280/HIGGS.csv.gz
2 1706 0.01% 2877050643 14.79% /ml/machine-learning-databases/00340/data.zip
3 1474 0.01% 1912989040 9.83% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
4 880 0.00% 1296527035 6.66% /ml/machine-learning-databases/00269/dir_data.tar
5 1051 0.01% 1086854910 5.59% /ml/machine-learning-databases/00251/WTD_upload.zip
6 5636 0.03% 815179592 4.19% /ml/machine-learning-databases/00385/de.tar.bz2
7 6775 0.04% 696894090 3.58% /ml/machine-learning-databases/00361/data1.zip
8 135 0.00% 509105125 2.62% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
9 19313 0.11% 352020325 1.81% /ml/machine-learning-databases/00344/Activity recognition exp.zip
10 1029 0.01% 346763910 1.78% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
11 402 0.00% 251430403 1.29% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
12 268 0.00% 244108753 1.25% /ml/machine-learning-databases/00347/all_train.csv.gz
13 270 0.00% 216367516 1.11% /ml/machine-learning-databases/00347/1000_train.csv.gz
14 7332 0.04% 212534797 1.09% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
15 237 0.00% 207244672 1.07% /ml/machine-learning-databases/00347/not1000_train.csv.gz
16 485 0.00% 188325973 0.97% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
17 50651 0.28% 187393968 0.96% /ml/machine-learning-databases/adult/adult.data
18 288 0.00% 178153661 0.92% /ml/machine-learning-databases/00279/SUSY.csv.gz
19 1693 0.01% 176903650 0.91% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
20 3553 0.02% 162587571 0.84% /ml/machine-learning-databases/00339/train.csv.zip
21 425 0.00% 159362513 0.82% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
22 247 0.00% 149178307 0.77% /ml/machine-learning-databases/00347/all_test.csv.gz
23 4627 0.03% 140412530 0.72% /ml/machine-learning-databases/00288/leaf.zip
24 1995 0.01% 139355878 0.72% /ml/machine-learning-databases/00256/data.zip
25 986 0.01% 136268513 0.70% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
26 831 0.00% 130080885 0.67% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
27 4653461 25.76% 118152977 0.61% /ml/datasets.html
28 1761 0.01% 112690687 0.58% /ml/machine-learning-databases/00371/NIPS_1987-2015.csv
29 259 0.00% 109838075 0.56% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
30 202 0.00% 96061468 0.49% /ml/machine-learning-databases/00347/1000_test.csv.gz
31 654 0.00% 89476126 0.46% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
32 409 0.00% 88425859 0.45% /ml/machine-learning-databases/00322/data.zip
33 4451 0.02% 84755279 0.44% /ml/machine-learning-databases/poker/poker-hand-testing.data
34 5735 0.03% 80591767 0.41% /ml/machine-learning-databases/00352/Online Retail.xlsx
35 400 0.00% 74674125 0.38% /ml/machine-learning-databases/00306/dataset_segmentation.rar
36 731 0.00% 68559222 0.35% /ml/machine-learning-databases/url/url_svmlight.tar.gz
37 823 0.00% 66970968 0.34% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
38 307 0.00% 65111707 0.33% /ml/machine-learning-databases/00318/NoisyOffice.zip
39 137 0.00% 61016480 0.31% /ml/machine-learning-databases/00347/not1000_test.csv.gz
40 2676 0.01% 52648252 0.27% /ml/machine-learning-databases/00210/donation.zip
41 1696 0.01% 42319207 0.22% /ml/machine-learning-databases/00341/HAPT Data Set.zip
42 648 0.00% 38809609 0.20% /ml/machine-learning-databases/00204/PEMS-SF.zip
43 158 0.00% 35524844 0.18% /ml/machine-learning-databases/p53/p53_new_2012.zip
44 1500 0.01% 34837577 0.18% /ml/machine-learning-databases/00326/TV_News_Channel_Commercial_Detection_Dataset.zip
45 2263 0.01% 33603683 0.17% /ml/machine-learning-databases/00384/Quality Assessment - Digital Colposcopy.zip
46 2916 0.02% 26823617 0.14% /ml/machine-learning-databases/00235/household_power_consumption.zip
47 576 0.00% 26461504 0.14% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
48 566 0.00% 25628258 0.13% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
49 712 0.00% 24797970 0.13% /ml/machine-learning-databases/00239/corpus.zip
50 606 0.00% 21012329 0.11% /ml/machine-learning-databases/00328/ghg_data.zip
51 774 0.00% 19896793 0.10% /ml/machine-learning-databases/00349/OULAD.zip
52 261 0.00% 19568186 0.10% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
53 1582 0.01% 19045259 0.10% /ml/machine-learning-databases/00378/DrivFace.zip
54 10124 0.06% 18610299 0.10% /ml/machine-learning-databases/adult/adult.test
55 189 0.00% 18520502 0.10% /ml/machine-learning-databases/p53/p53_old_2010.zip
56 634 0.00% 18443230 0.09% /ml/machine-learning-databases/00205/OpinRankDataset.zip
57 1147 0.01% 17070288 0.09% /ml/machine-learning-databases/00248/regression.tar.gz
58 2255 0.01% 16688570 0.09% /ml/machine-learning-databases/00374/energydata_complete.csv
59 1257 0.01% 16237233 0.08% /ml/machine-learning-databases/00359/NewsAggregatorDataset.zip
60 1146 0.01% 16142584 0.08% /ml/machine-learning-databases/00246/3D_spatial_network.txt
61 1897 0.01% 13616328 0.07% /ml/machine-learning-databases/covtype/covtype.data.gz
62 1097 0.01% 10739931 0.06% /ml/machine-learning-databases/00362/HT_Sensor_UCIsubmission.zip
63 238 0.00% 10660566 0.05% /ml/machine-learning-databases/gisette/GISETTE/gisette_train.data
64 712 0.00% 10613980 0.05% /ml/machine-learning-databases/00369/UbiqLog4UCI.zip
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Top 10 of 3207 Total Entry Pages
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Top 10 of 3211 Total Exit Pages
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Top 10 of 21709 Total Referrers
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Top 100 of 445 Total Search Strings
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33 8 0.55% دیتاست uci
34 6 0.41% https://archive.ics.uci.edu/ml/datasets/arrhythmia
35 6 0.41% https://archive.ics.uci.edu/ml/datasets/auto mpg
36 6 0.41% https://archive.ics.uci.edu/ml/machine-learning-databases/bag-of-words/
37 6 0.41% labor games site:vk.com
38 6 0.41% real world site:vk.com
39 5 0.34% diabetes
40 5 0.34% https://archive.ics.uci.edu/ml/datasets/default of credit card clients
41 5 0.34% https://archive.ics.uci.edu/ml/datasets/diabetes 130-us hospitals for years 1999-2008
42 5 0.34% https://archive.ics.uci.edu/ml/datasets/individual household electric power consumption
43 5 0.34% https://archive.ics.uci.edu/ml/index.php
44 4 0.28% anoymous noise site:vk.com
45 4 0.28% auto
46 4 0.28% automobile mpg dataset
47 4 0.28% http://www.ics.uci.edu/~mlearn
48 4 0.28% http://www.ijcaonline.org/
49 4 0.28% https://archive.ics.uci.edu/ml/datasets/breast cancer wisconsin %28original%29
50 4 0.28% https://archive.ics.uci.edu/ml/datasets/heart disease
51 4 0.28% https://archive.ics.uci.edu/ml/datasets/occupancy detection
52 4 0.28% https://archive.ics.uci.edu/ml/datasets/susy
53 4 0.28% https://archive.ics.uci.edu/ml/datasets/tic-tac-toe endgame
54 4 0.28% https://archive.ics.uci.edu/ml/datasets/wine
55 4 0.28% servo dataset
56 4 0.28% uci machine learning
57 4 0.28% uci money download
58 4 0.28% weka
59 3 0.21% allinurl: dexter
60 3 0.21% cancer breast dataset
61 3 0.21% http://archive.ics.uci.edu/ml/datasets/human activity recognition using smartphones
62 3 0.21% https://archive.ics.uci.edu/ml/datasets/balloons
63 3 0.21% https://archive.ics.uci.edu/ml/datasets/breast cancer wisconsin %28diagnostic%29
64 3 0.21% https://archive.ics.uci.edu/ml/datasets/drivface
65 3 0.21% https://archive.ics.uci.edu/ml/datasets/eeg database
66 3 0.21% https://archive.ics.uci.edu/ml/datasets/gas sensor array drift dataset at different concentrations
67 3 0.21% https://archive.ics.uci.edu/ml/datasets/glass identification
68 3 0.21% https://archive.ics.uci.edu/ml/datasets/movie
69 3 0.21% https://archive.ics.uci.edu/ml/datasets/mushroom
70 3 0.21% https://archive.ics.uci.edu/ml/datasets/poker hand
71 3 0.21% https://archive.ics.uci.edu/ml/datasets/weight lifting exercises monitored with inertial measurement units
72 3 0.21% https://archive.ics.uci.edu/ml/machine-learning-databases/pima-indians-diabetes/
73 3 0.21% intrusion detection site:archive.ics.uci.edu/ml
74 3 0.21% kdd site:archive.ics.uci.edu/ml
75 3 0.21% kidney site:archive.ics.uci.edu/ml
76 3 0.21% legal case repository
77 3 0.21% network intrusion detection site:archive.ics.uci.edu/ml
78 3 0.21% sms site:archive.ics.uci.edu/ml
79 3 0.21% uci dataset zoo
80 3 0.21% uci datasets
81 3 0.21% uci repository datasets
82 3 0.21% ucidatabase
83 3 0.21% سایت uci
84 2 0.14% 31 2016 - detoxification is one way to cleanse and throw out the toxins out of our body. interestingly linda page (http://www.w
85 2 0.14% advertisements
86 2 0.14% anything
87 2 0.14% art on line ltda me
88 2 0.14% binary class imbalanced datasets.csv
89 2 0.14% binary class imbalanced sets.csv
90 2 0.14% blocks and classification
91 2 0.14% boston housing dataset
92 2 0.14% botanical dataset machine learning
93 2 0.14% cancer repository dataset
94 2 0.14% car evaluation data
95 2 0.14% classification dataset
96 2 0.14% collective behavior of social media:archive.ics.uci.edu/ml site:archive.ics.uci.edu/ml
97 2 0.14% data of liver
98 2 0.14% data set
99 2 0.14% dataset
100 2 0.14% detect date format in sms spam

Top 2 of 2 Total Usernames
# Hits Files KBytes Visits Username
1 121 0.00% 121 0.00% 1268 0.00% 60 0.01% ads
2 1 0.00% 1 0.00% 9 0.00% 1 0.00% 1945598

Top 100 of 15146 Total User Agents
# Hits User Agent
1 2550152 14.12% Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)
2 1923084 10.64% Wget/1.18 (linux-gnu)
3 1898985 10.51% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
4 839421 4.65% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
5 613373 3.40% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
6 539772 2.99% MobileSafari/602.1 CFNetwork/811.5.4 Darwin/16.6.0
7 446133 2.47% Safari/12603.2.4 CFNetwork/811.5.4 Darwin/16.6.0 (x86_64)
8 342265 1.89% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
9 312759 1.73% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
10 234416 1.30% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:53.0) Gecko/20100101 Firefox/53.0
11 222538 1.23% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_5) AppleWebKit/603.2.4 (KHTML, like Gecko) Version/10.1.1 Safari/603.2.4
12 183008 1.01% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
13 158981 0.88% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:53.0) Gecko/20100101 Firefox/53.0
14 156832 0.87% 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
15 149529 0.83% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
16 137468 0.76% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
17 136981 0.76% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
18 132126 0.73% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:53.0) Gecko/20100101 Firefox/53.0
19 124406 0.69% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36
20 122121 0.68% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:54.0) Gecko/20100101 Firefox/54.0
21 110623 0.61% Safari/12603.1.30.0.34 CFNetwork/811.4.18 Darwin/16.5.0 (x86_64)
22 107655 0.60% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
23 107444 0.59% Python-urllib/3.5
24 106649 0.59% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.86 Safari/537.36
25 103820 0.57% Mozilla/5.0 (iPhone; CPU iPhone OS 10_3_2 like Mac OS X) AppleWebKit/603.2.4 (KHTML, like Gecko) Version/10.0 Mobile/14F89 Sa
26 101446 0.56% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
27 92670 0.51% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:54.0) Gecko/20100101 Firefox/54.0
28 87907 0.49% MobileSafari/602.1 CFNetwork/811.4.18 Darwin/16.5.0
29 84594 0.47% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
30 80136 0.44% Python-urllib/3.6
31 77019 0.43% 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
32 74736 0.41% 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 63577 0.35% Mozilla/5.0 (Linux; Android) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.131 Safari/537.36
34 61512 0.34% MobileSafari/602.1 CFNetwork/808.3 Darwin/16.3.0
35 59492 0.33% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
36 58364 0.32% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:54.0) Gecko/20100101 Firefox/54.0
37 56979 0.32% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.86 Safari/537.36
38 56897 0.31% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
39 55765 0.31% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
40 55017 0.30% 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
41 51427 0.28% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_5) AppleWebKit/603.2.4 (KHTML, like Gecko)
42 51412 0.28% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36
43 51299 0.28% Safari/11603.2.5 CFNetwork/760.6.5 Darwin/15.6.0 (x86_64)
44 49155 0.27% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:53.0) Gecko/20100101 Firefox/53.0
45 47876 0.26% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
46 47869 0.26% Mozilla/5.0 (Windows NT 6.2; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
47 47784 0.26% Python-urllib/2.7
48 44784 0.25% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
49 44739 0.25% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.104 Safari/537.36
50 42441 0.23% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
51 42205 0.23% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/58.0.3029.110 Chrome/58.0.3029.110 Saf
52 41837 0.23% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.109 Safari/537.36
53 41797 0.23% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.86 Safari/537.36
54 38853 0.22% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
55 38172 0.21% yacybot (/global; amd64 Linux 4.9.0; java 1.8.0_131; Europe/en) http://yacy.net/bot.html
56 37773 0.21% MobileSafari/602.1 CFNetwork/808.2.16 Darwin/16.3.0
57 36564 0.20% Mozilla/5.0 (Windows NT 6.1; rv:53.0) Gecko/20100101 Firefox/53.0
58 33914 0.19% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.86 Safari/537.36
59 33756 0.19% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
60 33467 0.19% Mozilla/4.0 (compatible;)
61 33439 0.19% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
62 33311 0.18% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:53.0) Gecko/20100101 Firefox/53.0
63 33188 0.18% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
64 31736 0.18% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.12; rv:53.0) Gecko/20100101 Firefox/53.0
65 31472 0.17% 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
66 31227 0.17% Safari/12602.4.8 CFNetwork/807.2.14 Darwin/16.4.0 (x86_64)
67 31202 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/603.2.5 (KHTML, like Gecko) Version/10.1.1 Safari/603.2.5
68 29704 0.16% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:40.0) Gecko/20100101 Firefox/40.1
69 29302 0.16% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
70 29223 0.16% Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
71 28918 0.16% 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
72 28866 0.16% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 OPR/45.0.
73 28450 0.16% Safari/10603.2.5 CFNetwork/720.5.7 Darwin/14.5.0 (x86_64)
74 27137 0.15% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
75 26852 0.15% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko
76 26462 0.15% python-requests/2.12.4
77 25654 0.14% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.75 Safari/537.36 LBBROWSER
78 24574 0.14% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36
79 24539 0.14% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:54.0) Gecko/20100101 Firefox/54.0
80 24083 0.13% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:54.0) Gecko/20100101 Firefox/54.0
81 22732 0.13% Mozilla/5.0 (iPad; CPU OS 10_3_2 like Mac OS X) AppleWebKit/603.2.4 (KHTML, like Gecko) Version/10.0 Mobile/14F89 Safari/602.
82 22417 0.12% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36
83 21925 0.12% MobileSafari/602.1 CFNetwork/808.1.4 Darwin/16.1.0
84 21867 0.12% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36
85 21464 0.12% 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
86 21440 0.12% 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
87 20945 0.12% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
88 20815 0.12% Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)
89 20626 0.11% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.104 Safari/537.36
90 20510 0.11% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:52.0) Gecko/20100101 Firefox/52.0
91 19907 0.11% Safari/12602.1.50.0.10 CFNetwork/807.0.4 Darwin/16.0.0 (x86_64)
92 19747 0.11% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 OPR/45.0.2552.
93 19427 0.11% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36
94 19093 0.11% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.109 Safari/537.36
95 18491 0.10% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36
96 18059 0.10% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
97 17815 0.10% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.81 Safari/537.36
98 17380 0.10% Mozilla/5.0 (X11; Linux x86_64; rv:52.0) Gecko/20100101 Firefox/52.0
99 17361 0.10% 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
100 17283 0.10% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.104 Safari/537.36

Usage by Country for June 2017

Top 30 of 234 Total Countries
# Hits Files KBytes Country
1 4367488 24.17% 4075261 27.28% 1742687281 8.96% Commercial (com)
2 2270587 12.57% 2178161 14.58% 224692998 1.15% Japan
3 1994107 11.04% 1474390 9.87% 8064802962 41.46% China
4 1829617 10.13% 1296104 8.68% 1015698383 5.22% Network (net)
5 1202003 6.65% 1040563 6.97% 895942618 4.61% India
6 719885 3.98% 555443 3.72% 848010082 4.36% United States
7 488300 2.70% 413799 2.77% 300328186 1.54% Brazil
8 380990 2.11% 287119 1.92% 148888600 0.77% Korea, Republic of
9 348869 1.93% 287188 1.92% 296394085 1.52% Germany
10 278367 1.54% 227393 1.52% 350877745 1.80% Educational (edu)
11 247050 1.37% 204498 1.37% 150027305 0.77% Poland
12 227215 1.26% 183606 1.23% 239898908 1.23% Iran
13 221380 1.23% 170084 1.14% 349610712 1.80% Italy
14 200851 1.11% 151889 1.02% 137900524 0.71% Canada
15 191018 1.06% 163370 1.09% 392285007 2.02% Indonesia
16 158723 0.88% 103489 0.69% 1806850123 9.29% Turkey
17 153673 0.85% 113194 0.76% 73606554 0.38% Russian Federation
18 147655 0.82% 126811 0.85% 85005360 0.44% Taiwan
19 140307 0.78% 104336 0.70% 140040118 0.72% France
20 134531 0.74% 96202 0.64% 119629778 0.61% Australia
21 111779 0.62% 77974 0.52% 92945496 0.48% Mexico
22 111595 0.62% 94245 0.63% 107886987 0.55% Malaysia
23 92779 0.51% 72922 0.49% 176112378 0.91% Spain
24 89326 0.49% 67062 0.45% 58186432 0.30% Singapore
25 87046 0.48% 69741 0.47% 63114975 0.32% Netherlands
26 83957 0.46% 63949 0.43% 39894284 0.21% Great Britain (UK)
27 80131 0.44% 59346 0.40% 47255140 0.24% Thailand
28 79019 0.44% 66287 0.44% 82220491 0.42% Unresolved/Unknown
29 75791 0.42% 61106 0.41% 91877761 0.47% United Kingdom
30 70957 0.39% 57143 0.38% 29196237 0.15% Colombia

Generated by Webalizer Version 2.23