Usage Statistics for archive.ics.uci.edu

Summary Period: July 2016
Generated 01-Aug-2016 06:21 PDT

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

Monthly Statistics for July 2016
Total Hits 9462283
Total Files 8678168
Total Pages 2677172
Total Visits 221122
Total KBytes 37067030127
Total Unique Sites 140988
Total Unique URLs 11508
Total Unique Referrers 12280
Total Unique Usernames 2
Total Unique User Agents 11282
. Avg Max
Hits per Hour 12718 56222
Hits per Day 305234 902734
Files per Day 279940 875242
Pages per Day 86360 664603
Sites per Day 4548 8742
Visits per Day 7132 10500
KBytes per Day 1195710649 4726986124
Hits by Response Code
Code 200 - OK 91.71% 8678168
Code 206 - Partial Content 2.08% 196534
Code 301 - Moved Permanently 0.21% 20204
Code 302 - Found 0.02% 2295
Code 304 - Not Modified 1.39% 131391
Code 400 - Bad Request 0.00% 131
Code 403 - Forbidden 0.00% 35
Code 404 - Not Found 4.54% 429832
Code 405 - Method Not Allowed 0.01% 1096
Code 406 - Not Acceptable 0.00% 7
Code 416 - Requested Range Not Satisfiable 0.00% 57
Code 500 - Internal Server Error 0.03% 2533

Daily usage for July 2016

Daily Statistics for July 2016
Day Hits Files Pages Visits Sites KBytes
1 211337 2.23% 188428 2.17% 35430 1.32% 6462 2.92% 6912 4.90% 4726986124 12.75%
2 155070 1.64% 139630 1.61% 28101 1.05% 5345 2.42% 5603 3.97% 979328993 2.64%
3 187128 1.98% 167433 1.93% 35572 1.33% 6106 2.76% 6493 4.61% 535999020 1.45%
4 236311 2.50% 211857 2.44% 35395 1.32% 7501 3.39% 7962 5.65% 967949247 2.61%
5 265950 2.81% 228853 2.64% 39339 1.47% 7747 3.50% 8162 5.79% 2193919815 5.92%
6 240337 2.54% 219097 2.52% 39158 1.46% 7617 3.44% 8108 5.75% 729601336 1.97%
7 235354 2.49% 210946 2.43% 34185 1.28% 7570 3.42% 7981 5.66% 1644391936 4.44%
8 196846 2.08% 179084 2.06% 30972 1.16% 6581 2.98% 7220 5.12% 208993828 0.56%
9 164536 1.74% 148359 1.71% 27414 1.02% 5670 2.56% 5765 4.09% 207222206 0.56%
10 202131 2.14% 179911 2.07% 30323 1.13% 6424 2.91% 6895 4.89% 2610453875 7.04%
11 258632 2.73% 233023 2.69% 36898 1.38% 8264 3.74% 8691 6.16% 1588290313 4.28%
12 276430 2.92% 246981 2.85% 39457 1.47% 8310 3.76% 8742 6.20% 738619277 1.99%
13 276179 2.92% 247657 2.85% 43459 1.62% 8403 3.80% 8597 6.10% 3649326418 9.85%
14 242895 2.57% 220809 2.54% 37518 1.40% 8083 3.66% 8418 5.97% 1410677206 3.81%
15 194107 2.05% 175459 2.02% 30811 1.15% 6837 3.09% 7327 5.20% 1182864358 3.19%
16 161444 1.71% 145077 1.67% 28425 1.06% 5582 2.52% 5884 4.17% 401644023 1.08%
17 185235 1.96% 163498 1.88% 29784 1.11% 6726 3.04% 7118 5.05% 1536337156 4.14%
18 642035 6.79% 617584 7.12% 424167 15.84% 10500 4.75% 8652 6.14% 807476786 2.18%
19 902734 9.54% 875242 10.09% 664603 24.82% 8904 4.03% 8608 6.11% 417924990 1.13%
20 706068 7.46% 682691 7.87% 460033 17.18% 8130 3.68% 8601 6.10% 921164194 2.49%
21 440681 4.66% 419908 4.84% 128895 4.81% 7380 3.34% 7776 5.52% 425973093 1.15%
22 407763 4.31% 341425 3.93% 49127 1.84% 6467 2.92% 6903 4.90% 534120429 1.44%
23 306822 3.24% 282733 3.26% 31004 1.16% 5308 2.40% 6049 4.29% 434485903 1.17%
24 334536 3.54% 314855 3.63% 37462 1.40% 6282 2.84% 6699 4.75% 982210690 2.65%
25 447215 4.73% 420459 4.85% 49364 1.84% 8256 3.73% 8401 5.96% 3154560485 8.51%
26 413034 4.37% 346427 3.99% 48047 1.79% 8516 3.85% 8428 5.98% 691420179 1.87%
27 314567 3.32% 290985 3.35% 50494 1.89% 8104 3.66% 8353 5.92% 623337517 1.68%
28 257702 2.72% 235439 2.71% 39594 1.48% 7524 3.40% 7800 5.53% 917914534 2.48%
29 200759 2.12% 182352 2.10% 33636 1.26% 6231 2.82% 6711 4.76% 698166954 1.88%
30 185345 1.96% 168731 1.94% 35481 1.33% 5327 2.41% 5617 3.98% 901443976 2.43%
31 213100 2.25% 193235 2.23% 43024 1.61% 6070 2.75% 6660 4.72% 244225265 0.66%

Hourly usage for July 2016

Hourly Statistics for July 2016
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 14887 461520 4.88% 13527 419361 4.83% 3826 118621 4.43% 81790556 2535507235 6.84%
1 15731 487664 5.15% 14404 446527 5.15% 3970 123096 4.60% 100766996 3123776870 8.43%
2 14360 445169 4.70% 13239 410425 4.73% 3658 113413 4.24% 92644607 2871982808 7.75%
3 14162 439034 4.64% 11874 368124 4.24% 3325 103089 3.85% 75504496 2340639388 6.31%
4 12658 392400 4.15% 11309 350609 4.04% 3050 94551 3.53% 47330082 1467232527 3.96%
5 12652 392241 4.15% 11619 360193 4.15% 2948 91407 3.41% 40654260 1260282071 3.40%
6 14052 435636 4.60% 12979 402374 4.64% 3317 102857 3.84% 62579690 1939970393 5.23%
7 13957 432678 4.57% 12826 397634 4.58% 3475 107728 4.02% 61741035 1913972090 5.16%
8 13942 432219 4.57% 12646 392027 4.52% 3425 106179 3.97% 103999344 3223979672 8.70%
9 13127 406942 4.30% 11865 367831 4.24% 3303 102395 3.82% 71569951 2218668480 5.99%
10 12614 391062 4.13% 11595 359455 4.14% 3338 103478 3.87% 35918717 1113480213 3.00%
11 11968 371035 3.92% 11271 349416 4.03% 3553 110144 4.11% 16637041 515748278 1.39%
12 12277 380589 4.02% 11625 360405 4.15% 4128 127988 4.78% 22415520 694881131 1.87%
13 11390 353090 3.73% 10674 330909 3.81% 3702 114777 4.29% 10569748 327662180 0.88%
14 10435 323511 3.42% 9777 303114 3.49% 3464 107413 4.01% 14983636 464492729 1.25%
15 9779 303175 3.20% 9288 287929 3.32% 3529 109413 4.09% 8978578 278335911 0.75%
16 9448 292906 3.10% 8975 278239 3.21% 3476 107769 4.03% 9642161 298906976 0.81%
17 9918 307486 3.25% 9315 288780 3.33% 3606 111802 4.18% 12322312 381991679 1.03%
18 12255 379931 4.02% 11310 350617 4.04% 4272 132435 4.95% 16447202 509863247 1.38%
19 13145 407502 4.31% 12110 375413 4.33% 4339 134527 5.02% 71452860 2215038657 5.98%
20 12240 379450 4.01% 11169 346253 3.99% 3915 121392 4.53% 106034457 3287068179 8.87%
21 12276 380580 4.02% 11304 350426 4.04% 3714 115141 4.30% 45907209 1423123483 3.84%
22 12881 399319 4.22% 11893 368707 4.25% 3428 106291 3.97% 33463267 1037361292 2.80%
23 15069 467144 4.94% 13335 413400 4.76% 3589 111266 4.16% 52356924 1623064638 4.38%

Top 100 of 11508 Total URLs
# Hits KBytes URL
1 1796157 18.98% 48654386 0.13% /ml/datasets.html
2 802176 8.48% 97210207 0.26% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
3 192544 2.03% 739467073 1.99% /ml/machine-learning-databases/adult/adult.data
4 178979 1.89% 33476339 0.09% /ml/machine-learning-databases/abalone/abalone.data
5 92697 0.98% 410026 0.00% /ml/machine-learning-databases/iris/iris.data
6 80035 0.85% 1475068 0.00% /ml/
7 55498 0.59% 717409 0.00% /ml/datasets.html/datasets/datasets/datasets.html
8 47529 0.50% 1931160141 5.21% /ml/machine-learning-databases/00344/Activity recognition exp.zip
9 26749 0.28% 129496322 0.35% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
10 26326 0.28% 2093 0.00% /
11 22073 0.23% 499954 0.00% /ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data
12 18367 0.19% 197708452 0.53% /ml/machine-learning-databases/p53/p53_new_2012.zip
13 18278 0.19% 1260777 0.00% /ml/datasets/Iris
14 15972 0.17% 259430 0.00% /ml//datasets.html
15 14036 0.15% 911840 0.00% /ml/machine-learning-databases/
16 12732 0.13% 497509 0.00% /ml/datasets/Adult
17 11844 0.13% 123667 0.00% /ml/machine-learning-databases/wine/wine.data
18 11387 0.12% 5398470933 14.56% /ml/machine-learning-databases/00251/WTD_upload.zip
19 9359 0.10% 14618 0.00% /ml/machine-learning-databases/iris/
20 8741 0.09% 11790265 0.03% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
21 6866 0.07% 75529 0.00% /ml/datasets/Bank+Marketing
22 6774 0.07% 416278705 1.12% /ml/machine-learning-databases/00361/data1.zip
23 6507 0.07% 339244 0.00% /ml/datasets/Heart+Disease
24 6462 0.07% 224164 0.00% /ml/datasets/Wine
25 6166 0.07% 65689 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
26 6088 0.06% 11070821 0.03% /ml/machine-learning-databases/adult/adult.test
27 6045 0.06% 159662 0.00% /ml/datasets.html/datasets.html
28 5961 0.06% 10452 0.00% /ml/machine-learning-databases/adult/
29 5669 0.06% 111674 0.00% /ml/datasets/Car+Evaluation
30 5602 0.06% 177154 0.00% /ml/datasets/Housing
31 5399 0.06% 124438 0.00% /ml/datasets.html/datasets/datasets.html
32 5329 0.06% 46123 0.00% /ml/datasets/Wine+Quality
33 5305 0.06% 427540 0.00% /ml/machine-learning-databases/wine-quality/winequality-red.csv
34 5284 0.06% 249045 0.00% /ml/machine-learning-databases/housing/housing.data
35 5277 0.06% 12937 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
36 4930 0.05% 50425 0.00% /ml/datasets/Air+Quality
37 4889 0.05% 136224 0.00% /ml/datasets/Abalone
38 4827 0.05% 46347 0.00% /ml/datasets/default+of+credit+card+clients
39 4684 0.05% 182274 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
40 4538 0.05% 2441015421 6.59% /ml/machine-learning-databases/00269/dir_data.tar
41 4512 0.05% 3715716799 10.02% /ml/machine-learning-databases/00280/HIGGS.csv.gz
42 4340 0.05% 71079 0.00% /ml/datasets/Statlog+(German+Credit+Data)
43 4282 0.05% 122365 0.00% /ml/datasets/Pima+Indians+Diabetes
44 4145 0.04% 43316 0.00% /ml/datasets/STUDENT+ALCOHOL+CONSUMPTION
45 3914 0.04% 5307 0.00% /ml/machine-learning-databases/wine/
46 3852 0.04% 1092998932 2.95% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
47 3814 0.04% 72740 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
48 3764 0.04% 10879 0.00% /ml/machine-learning-databases/iris/iris.names
49 3745 0.04% 318476 0.00% /ml/machine-learning-databases/undocumented/connectionist-bench/sonar/sonar.all-data
50 3668 0.04% 6088026254 16.42% /ml/machine-learning-databases/00340/data.zip
51 3650 0.04% 15572 0.00% /ml/machine-learning-databases/heart-disease/
52 3624 0.04% 178924 0.00% /ml/machine-learning-databases/car/car.data
53 3452 0.04% 29378 0.00% /ml/datasets/Online+Retail
54 3301 0.03% 14564 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
55 3241 0.03% 29827 0.00% /ml/datasets/Poker+Hand
56 3238 0.03% 28908685 0.08% /ml/machine-learning-databases/00359/NewsAggregatorDataset.zip
57 3118 0.03% 120054 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
58 3043 0.03% 4134 0.00% /ml/machine-learning-databases/car/
59 2966 0.03% 2560052 0.01% /ml/machine-learning-databases/00360/AirQualityUCI.zip
60 2933 0.03% 713847 0.00% /ml/machine-learning-databases/wine-quality/winequality-white.csv
61 2915 0.03% 45688 0.00% /ml/datasets/Auto+MPG
62 2863 0.03% 31796 0.00% /ml/datasets/Student+Performance
63 2848 0.03% 14150 0.00% /ml/machine-learning-databases/adult/adult.names
64 2845 0.03% 27930 0.00% /ml/datasets/Forest+Fires
65 2744 0.03% 2636 0.00% /ml/machine-learning-databases/00192/
66 2687 0.03% 3684 0.00% /ml/machine-learning-databases/wine-quality/
67 2674 0.03% 113195 0.00% /ml/datasets/Diabetes
68 2651 0.03% 102081 0.00% /ml/datasets/Mushroom
69 2649 0.03% 3636 0.00% /ml/machine-learning-databases/abalone/
70 2645 0.03% 25923 0.00% /ml/datasets/Internet+Advertisements
71 2633 0.03% 61622 0.00% /ml/datasets/Census+Income
72 2618 0.03% 75782 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
73 2592 0.03% 26940 0.00% /ml/datasets/Credit+Approval
74 2567 0.03% 31134 0.00% /ml/datasets/Spambase
75 2536 0.03% 68909356 0.19% /ml/machine-learning-databases/00210/donation.zip
76 2519 0.03% 3452 0.00% /ml/machine-learning-databases/housing/
77 2484 0.03% 786160824 2.12% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
78 2473 0.03% 22837 0.00% /ml/datasets/Twin+gas+sensor+arrays
79 2472 0.03% 36504979 0.10% /ml/machine-learning-databases/00352/Online Retail.xlsx
80 2441 0.03% 186727 0.00% /ml/machine-learning-databases/statlog/german/german.data
81 2437 0.03% 4012 0.00% /ml/machine-learning-databases/pima-indians-diabetes/
82 2424 0.03% 99215233 0.27% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
83 2421 0.03% 20410 0.00% /ml/datasets/Individual+household+electric+power+consumption
84 2420 0.03% 1185368 0.00% /ml/machine-learning-databases/00222/bank.zip
85 2388 0.03% 29591 0.00% /ml/datasets/Online+News+Popularity
86 2383 0.03% 3671 0.00% /ml/machine-learning-databases/statlog/german/
87 2378 0.03% 20067 0.00% /ml/datasets/Wholesale+customers
88 2375 0.03% 29107 0.00% /ml/datasets/Automobile
89 2356 0.02% 160938 0.00% /ml/datasets/Breast+Cancer
90 2299 0.02% 23802 0.00% /ml/datasets/Bike+Sharing+Dataset
91 2289 0.02% 9897592 0.03% /ml/machine-learning-databases/00350/default of credit card clients.xls
92 2257 0.02% 44567 0.00% /ml/datasets/Letter+Recognition
93 2243 0.02% 746364404 2.01% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
94 2139 0.02% 2552 0.00% /ml/machine-learning-databases/00222/
95 2098 0.02% 19244 0.00% /ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008
96 2039 0.02% 17239 0.00% /ml/datasets/GPS+Trajectories
97 2021 0.02% 15516 0.00% /ml/datasets/Occupancy+Detection+
98 2003 0.02% 2026 0.00% /ml/machine-learning-databases/00350/
99 1972 0.02% 1969 0.00% /ml/machine-learning-databases/00360/
100 1954 0.02% 16491 0.00% /ml/datasets/seeds

Top 100 of 11508 Total URLs By KBytes
# Hits KBytes URL
1 1918 0.02% 7748953610 20.91% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
2 3668 0.04% 6088026254 16.42% /ml/machine-learning-databases/00340/data.zip
3 11387 0.12% 5398470933 14.56% /ml/machine-learning-databases/00251/WTD_upload.zip
4 4512 0.05% 3715716799 10.02% /ml/machine-learning-databases/00280/HIGGS.csv.gz
5 4538 0.05% 2441015421 6.59% /ml/machine-learning-databases/00269/dir_data.tar
6 47529 0.50% 1931160141 5.21% /ml/machine-learning-databases/00344/Activity recognition exp.zip
7 3852 0.04% 1092998932 2.95% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
8 2484 0.03% 786160824 2.12% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
9 2243 0.02% 746364404 2.01% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
10 192544 2.03% 739467073 1.99% /ml/machine-learning-databases/adult/adult.data
11 852 0.01% 727828550 1.96% /ml/machine-learning-databases/00347/all_train.csv.gz
12 1255 0.01% 500852596 1.35% /ml/machine-learning-databases/00279/SUSY.csv.gz
13 1281 0.01% 436961270 1.18% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
14 6774 0.07% 416278705 1.12% /ml/machine-learning-databases/00361/data1.zip
15 320 0.00% 357360538 0.96% /ml/machine-learning-databases/00347/1000_train.csv.gz
16 777 0.01% 348941041 0.94% /ml/machine-learning-databases/00347/all_test.csv.gz
17 1060 0.01% 249351927 0.67% /ml/machine-learning-databases/00339/train.csv.zip
18 404 0.00% 213672979 0.58% /ml/machine-learning-databases/00347/1000_test.csv.gz
19 18367 0.19% 197708452 0.53% /ml/machine-learning-databases/p53/p53_new_2012.zip
20 1898 0.02% 191764113 0.52% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
21 1899 0.02% 141552119 0.38% /ml/machine-learning-databases/00256/data.zip
22 26749 0.28% 129496322 0.35% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
23 608 0.01% 118703696 0.32% /ml/machine-learning-databases/00347/not1000_test.csv.gz
24 451 0.00% 118039280 0.32% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
25 102 0.00% 114345784 0.31% /ml/machine-learning-databases/00347/not1000_train.csv.gz
26 164 0.00% 109389380 0.30% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
27 2424 0.03% 99215233 0.27% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
28 802176 8.48% 97210207 0.26% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
29 1103 0.01% 94285052 0.25% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
30 829 0.01% 90102981 0.24% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
31 755 0.01% 88223981 0.24% /ml/machine-learning-databases/00322/data.zip
32 376 0.00% 87993231 0.24% /ml/machine-learning-databases/00318/NoisyOffice.zip
33 818 0.01% 87851134 0.24% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
34 209 0.00% 80002283 0.22% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
35 2536 0.03% 68909356 0.19% /ml/machine-learning-databases/00210/donation.zip
36 487 0.01% 63531334 0.17% /ml/machine-learning-databases/url/url_svmlight.tar.gz
37 1376 0.01% 52522721 0.14% /ml/machine-learning-databases/nsfabs-mld/Part2.zip
38 160 0.00% 50099575 0.14% /ml//machine-learning-databases/00231/PAMAP2_Dataset.zip
39 1796157 18.98% 48654386 0.13% /ml/datasets.html
40 720 0.01% 48102509 0.13% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
41 758 0.01% 46716208 0.13% /ml/machine-learning-databases/00268/Data.zip
42 2472 0.03% 36504979 0.10% /ml/machine-learning-databases/00352/Online Retail.xlsx
43 1364 0.01% 36213731 0.10% /ml/machine-learning-databases/00288/leaf.zip
44 1295 0.01% 36025948 0.10% /ml/machine-learning-databases/nsfabs-mld/Part3.zip
45 178979 1.89% 33476339 0.09% /ml/machine-learning-databases/abalone/abalone.data
46 767 0.01% 30026796 0.08% /ml/machine-learning-databases/gisette/GISETTE/gisette_train.data
47 1656 0.02% 29030657 0.08% /ml/machine-learning-databases/poker/poker-hand-testing.data
48 3238 0.03% 28908685 0.08% /ml/machine-learning-databases/00359/NewsAggregatorDataset.zip
49 798 0.01% 28818342 0.08% /ml/machine-learning-databases/nsfabs-mld/Part1.zip
50 980 0.01% 23668567 0.06% /ml/machine-learning-databases/00326/TV_News_Channel_Commercial_Detection_Dataset.zip
51 640 0.01% 21217860 0.06% /ml/machine-learning-databases/00341/HAPT Data Set.zip
52 1746 0.02% 19233609 0.05% /ml/machine-learning-databases/00235/household_power_consumption.zip
53 919 0.01% 19220560 0.05% /ml/machine-learning-databases/00344/Still exp.zip
54 81 0.00% 18924038 0.05% /ml/machine-learning-databases/00306/dataset_segmentation.rar
55 490 0.01% 18563088 0.05% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
56 162 0.00% 16179783 0.04% /ml/machine-learning-databases/p53/p53_old_2010.zip
57 956 0.01% 16061077 0.04% /ml/machine-learning-databases/00248/regression.tar.gz
58 664 0.01% 15465476 0.04% /ml/machine-learning-databases/00349/OULAD.zip
59 770 0.01% 15227461 0.04% /ml/machine-learning-databases/00204/PEMS-SF.zip
60 374 0.00% 14878917 0.04% /ml/machine-learning-databases/00328/ghg_data.zip
61 450 0.00% 14446958 0.04% /ml/machine-learning-databases/00239/corpus.zip
62 772 0.01% 13990598 0.04% /ml/machine-learning-databases/kddcup98-mld/epsilon_mirror/cup98val.txt.Z
63 1111 0.01% 13678824 0.04% /ml/machine-learning-databases/00246/3D_spatial_network.txt
64 416 0.00% 12445957 0.03% /ml/machine-learning-databases/00205/OpinRankDataset.zip
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Top 10 of 2975 Total Exit Pages
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1 1319678 13.95% Wget/1.16.3 (linux-gnu)
2 793544 8.39% Python-urllib/3.4
3 603311 6.38% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
4 536204 5.67% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
5 222928 2.36% Java/1.8.0_60
6 213327 2.25% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
7 178125 1.88% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0
8 178036 1.88% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
9 176998 1.87% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
10 174622 1.85% HTMLGET 1.0
11 172632 1.82% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
12 166793 1.76% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0
13 163233 1.73% Wget/1.17.1 (linux-gnu)
14 129243 1.37% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:47.0) Gecko/20100101 Firefox/47.0
15 124347 1.31% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/601.6.17 (KHTML, like Gecko) Version/9.1.1 Safari/601.6.17
16 115938 1.23% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
17 103824 1.10% 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
18 102053 1.08% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
19 77458 0.82% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
20 74972 0.79% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.106 Safari/537.36
21 68626 0.73% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
22 68095 0.72% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.106 Safari/537.36
23 67861 0.72% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
24 64158 0.68% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0
25 62471 0.66% Mozilla/5.0 (Linux; Android) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.131 Safari/537.36
26 53885 0.57% Mozilla/5.0 (Windows NT 6.1; rv:47.0) Gecko/20100101 Firefox/47.0
27 50345 0.53% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
28 48380 0.51% Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)
29 45111 0.48% Python-urllib/3.5
30 42806 0.45% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.106 Safari/537.36
31 41876 0.44% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.106 Safari/537.36
32 39808 0.42% CCBot/2.0 (http://commoncrawl.org/faq/)
33 39770 0.42% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.106 Safari/537.36
34 39766 0.42% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
35 37301 0.39% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.11; rv:47.0) Gecko/20100101 Firefox/47.0
36 37000 0.39% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
37 34481 0.36% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
38 34155 0.36% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
39 31358 0.33% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
40 28858 0.30% Mozilla/5.0 (iPhone; CPU iPhone OS 9_3_2 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Version/9.0 Mobile/13F69 Saf
41 27617 0.29% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
42 27287 0.29% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36 SE 2.X MetaSr 1
43 27078 0.29% Mozilla/4.0 (compatible;)
44 26561 0.28% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko
45 26469 0.28% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.106 Safari/537.36
46 26398 0.28% Python-urllib/2.7
47 25458 0.27% Transmission/2.92
48 25306 0.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
49 23892 0.25% Safari/11601.6.17 CFNetwork/760.5.1 Darwin/15.5.0 (x86_64)
50 23773 0.25% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
51 23495 0.25% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.106 Safari/537.36
52 23477 0.25% 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
53 22825 0.24% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 YaBrowser/16.6.1.30117 Yowser
54 22539 0.24% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0
55 21933 0.23% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
56 21493 0.23% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/601.5.17 (KHTML, like Gecko) Version/9.1 Safari/601.5.17
57 20552 0.22% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/51.0.2704.79 Chrome/51.0.2704.79 Safar
58 20045 0.21% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
59 18711 0.20% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/601.6.17 (KHTML, like Gecko) Version/9.1.1 Safari/601.6.17
60 18161 0.19% Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
61 17742 0.19% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
62 17695 0.19% Wget/1.18 (darwin14.5.0)
63 16907 0.18% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36
64 15813 0.17% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.106 Safari/537.36
65 14762 0.16% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
66 14701 0.16% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; Trident/6.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.3
67 14654 0.15% Mozilla/5.0 (iPad; CPU OS 9_3_2 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Version/9.0 Mobile/13F69 Safari/601.1
68 14467 0.15% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36 SE 2.X MetaSr
69 14440 0.15% Mozilla/5.0 (X11; Linux x86_64; rv:47.0) Gecko/20100101 Firefox/47.0
70 14102 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
71 13904 0.15% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.106 Safari/537.36
72 13838 0.15% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:46.0) Gecko/20100101 Firefox/46.0
73 13685 0.14% Mozilla/4.0 (compatible; MSIE 8.0; Win32)
74 13685 0.14% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36
75 13509 0.14% Mozilla/5.0 (Linux; Android 4.2.1; en-us; Nexus 5 Build/JOP40D) AppleWebKit/535.19 (KHTML, like Gecko; googleweblight) Chrome
76 13481 0.14% Mozilla/5.0 (Windows; U; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; BIDUBrowser 7.6)
77 13192 0.14% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.154 Safari/537.36 LBBROWSER
78 13111 0.14% Mozilla/5.0 (Windows NT 5.1; rv:47.0) Gecko/20100101 Firefox/47.0
79 13077 0.14% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:47.0) Gecko/20100101 Firefox/47.0
80 13006 0.14% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; 360space)
81 12951 0.14% Mozilla/5.0 (X11; Linux x86_64; rv:45.0) Gecko/20100101 Firefox/45.0
82 12695 0.13% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)
83 12655 0.13% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36
84 11906 0.13% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36
85 11745 0.12% 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
86 11641 0.12% ltx71 - (http://ltx71.com/)
87 10978 0.12% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
88 10809 0.11% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 YaBrowser/16.6.1.30165 Yowser/2.5 Sa
89 10614 0.11% Mozilla/5.0 (Linux; U; Android 4.4.2; zh-cn; GT-I9500 Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko)Version/4.0 MQQBrow
90 10486 0.11% MobileSafari/602.1 CFNetwork/796.1 Darwin/16.0.0
91 10462 0.11% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36 SE 2.X MetaSr 1.0
92 10341 0.11% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:45.0) Gecko/20100101 Firefox/45.0
93 10254 0.11% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/601.6.17 (KHTML, like Gecko) Version/9.1.1 Safari/537.86.6
94 10108 0.11% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.75 Safari/537.36 Google Favicon
95 9880 0.10% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge/12.1
96 9723 0.10% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
97 9694 0.10% Mozilla/5.0 (Windows NT 6.2; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0
98 9629 0.10% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36
99 9606 0.10% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.84 Safari/537.36
100 9515 0.10% betaBot

Usage by Country for July 2016

Top 30 of 60 Total Countries
# Hits Files KBytes Country
1 9237386 97.62% 8663695 99.83% 36951304022 99.69% Unresolved/Unknown
2 164014 1.73% 154044 1.78% 48540604 0.13% Commercial (com)
3 10621 0.11% 10136 0.12% 1518383 0.00% Educational (edu)
4 7211 0.08% 6933 0.08% 320733 0.00% India
5 5169 0.05% 4635 0.05% 8888815 0.02% Network (net)
6 4659 0.05% 4228 0.05% 3575524 0.01% Japan
7 3774 0.04% 3396 0.04% 887995 0.00% Germany
8 3036 0.03% 2875 0.03% 1580527 0.00% China
9 2341 0.02% 2264 0.03% 451534 0.00% Ireland
10 2178 0.02% 2105 0.02% 3051126 0.01% France
11 1608 0.02% 1563 0.02% 4749898 0.01% South Africa
12 1418 0.01% 1122 0.01% 56906 0.00% Pakistan
13 1407 0.01% 1309 0.02% 252229 0.00% Non-Profit (org)
14 1253 0.01% 1214 0.01% 2919947 0.01% Malaysia
15 1246 0.01% 1168 0.01% 2971529 0.01% Italy
16 1242 0.01% 1208 0.01% 20796 0.00% Switzerland
17 1209 0.01% 1115 0.01% 133839 0.00% US Government (gov)
18 998 0.01% 746 0.01% 998468 0.00% Spain
19 994 0.01% 917 0.01% 77917 0.00% United Kingdom
20 934 0.01% 916 0.01% 8274 0.00% US Military (mil)
21 800 0.01% 770 0.01% 8787 0.00% Poland
22 795 0.01% 779 0.01% 27139 0.00% Turkey
23 690 0.01% 665 0.01% 9018843 0.02% Hong Kong
24 640 0.01% 626 0.01% 180076 0.00% Belgium
25 621 0.01% 604 0.01% 5755 0.00% Australia
26 482 0.01% 476 0.01% 2666 0.00% Sri Lanka
27 446 0.00% 429 0.00% 18376 0.00% Brazil
28 439 0.00% 427 0.00% 12056 0.00% Canada
29 438 0.00% 389 0.00% 27849 0.00% Serbia
30 401 0.00% 388 0.00% 410444 0.00% British Indian Ocean Territory

Generated by Webalizer Version 2.21