Usage Statistics for archive.ics.uci.edu

Summary Period: October 2018
Generated 01-Nov-2018 06:49 PDT

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

Monthly Statistics for October 2018
Total Hits 22300924
Total Files 17246519
Total Pages 3869116
Total Visits 815931
Total KBytes 38418855134
Total Unique Sites 436750
Total Unique URLs 18910
Total Unique Referrers 28363
Total Unique Usernames 1
Total Unique User Agents 20421
. Avg Max
Hits per Hour 29974 64660
Hits per Day 719384 1140099
Files per Day 556339 723623
Pages per Day 124810 161397
Sites per Day 14088 28966
Visits per Day 26320 33161
KBytes per Day 1239317908 8610524675
Hits by Response Code
Code 200 - OK 77.34% 17246519
Code 206 - Partial Content 3.06% 682596
Code 301 - Moved Permanently 0.14% 31200
Code 302 - Found 0.04% 7992
Code 304 - Not Modified 0.59% 131040
Code 400 - Bad Request 0.00% 822
Code 403 - Forbidden 0.01% 1930
Code 404 - Not Found 18.56% 4137971
Code 405 - Method Not Allowed 0.01% 1945
Code 406 - Not Acceptable 0.00% 19
Code 412 - Precondition Failed 0.00% 1
Code 416 - Requested Range Not Satisfiable 0.26% 58730
Code 500 - Internal Server Error 0.00% 159

Daily usage for October 2018

Daily Statistics for October 2018
Day Hits Files Pages Visits Sites KBytes
1 743980 3.34% 593422 3.44% 136190 3.52% 27300 3.35% 24798 5.68% 575464445 1.50%
2 146428 0.66% 123005 0.71% 28705 0.74% 4787 0.59% 5113 1.17% 191167111 0.50%
3 623359 2.80% 498186 2.89% 111791 2.89% 24049 2.95% 21185 4.85% 682917153 1.78%
4 731053 3.28% 590004 3.42% 125453 3.24% 28476 3.49% 24634 5.64% 1085393185 2.83%
5 638036 2.86% 506231 2.94% 123568 3.19% 24577 3.01% 21377 4.89% 914619751 2.38%
6 546032 2.45% 415488 2.41% 103920 2.69% 22026 2.70% 18356 4.20% 645832335 1.68%
7 632333 2.84% 490360 2.84% 112858 2.92% 25355 3.11% 22401 5.13% 463603891 1.21%
8 808424 3.63% 654446 3.79% 130565 3.37% 29771 3.65% 26672 6.11% 1696307541 4.42%
9 828786 3.72% 666732 3.87% 144438 3.73% 30413 3.73% 27388 6.27% 1159502878 3.02%
10 858847 3.85% 699475 4.06% 161397 4.17% 30333 3.72% 27943 6.40% 1440855448 3.75%
11 800563 3.59% 644888 3.74% 146640 3.79% 29272 3.59% 27835 6.37% 806509461 2.10%
12 667677 2.99% 525257 3.05% 129124 3.34% 26321 3.23% 22741 5.21% 705856775 1.84%
13 538098 2.41% 403601 2.34% 93921 2.43% 22473 2.75% 19166 4.39% 401150356 1.04%
14 675624 3.03% 526525 3.05% 118348 3.06% 26113 3.20% 23271 5.33% 938047021 2.44%
15 867994 3.89% 702967 4.08% 145429 3.76% 31941 3.91% 28952 6.63% 807879212 2.10%
16 894011 4.01% 705067 4.09% 158560 4.10% 33161 4.06% 28521 6.53% 1008915621 2.63%
17 788769 3.54% 618265 3.58% 135396 3.50% 29464 3.61% 25881 5.93% 1533947380 3.99%
18 819729 3.68% 616424 3.57% 140264 3.63% 29550 3.62% 26962 6.17% 4770305913 12.42%
19 668937 3.00% 513478 2.98% 121627 3.14% 25878 3.17% 24032 5.50% 8610524675 22.41%
20 574759 2.58% 431270 2.50% 118404 3.06% 22850 2.80% 19331 4.43% 709525295 1.85%
21 116385 0.52% 83332 0.48% 19311 0.50% 4242 0.52% 4704 1.08% 83813726 0.22%
22 770680 3.46% 609586 3.53% 135552 3.50% 27478 3.37% 25502 5.84% 558138101 1.45%
23 944056 4.23% 723623 4.20% 160939 4.16% 32750 4.01% 28955 6.63% 1694814860 4.41%
24 909949 4.08% 719908 4.17% 155440 4.02% 32270 3.95% 28966 6.63% 1520166566 3.96%
25 863816 3.87% 679723 3.94% 154986 4.01% 30672 3.76% 28222 6.46% 917938120 2.39%
26 699945 3.14% 545686 3.16% 123841 3.20% 26582 3.26% 25043 5.73% 720456339 1.88%
27 594056 2.66% 448392 2.60% 108289 2.80% 24021 2.94% 20013 4.58% 624939473 1.63%
28 736584 3.30% 573262 3.32% 128404 3.32% 27785 3.41% 23838 5.46% 859336851 2.24%
29 746531 3.35% 595028 3.45% 118167 3.05% 27771 3.40% 25485 5.84% 530925018 1.38%
30 925384 4.15% 698386 4.05% 144059 3.72% 31827 3.90% 28682 6.57% 813750176 2.12%
31 1140099 5.11% 644502 3.74% 133530 3.45% 29701 3.64% 26870 6.15% 946250453 2.46%

Hourly usage for October 2018

Hourly Statistics for October 2018
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 34945 1083314 4.86% 27685 858253 4.98% 5604 173731 4.49% 144213762 4470626618 11.64%
1 36240 1123442 5.04% 29301 908332 5.27% 6525 202280 5.23% 121072884 3753259392 9.77%
2 33766 1046746 4.69% 27151 841697 4.88% 6012 186395 4.82% 96850322 3002359996 7.81%
3 32290 1000996 4.49% 25422 788091 4.57% 5625 174403 4.51% 77552170 2404117258 6.26%
4 31764 984708 4.42% 24931 772869 4.48% 5336 165434 4.28% 57909668 1795199697 4.67%
5 35147 1089558 4.89% 27806 861988 5.00% 6060 187875 4.86% 47357970 1468097060 3.82%
6 38627 1197460 5.37% 30585 948152 5.50% 6339 196524 5.08% 48599685 1506590222 3.92%
7 38668 1198709 5.38% 30273 938467 5.44% 6657 206370 5.33% 63150893 1957677687 5.10%
8 35823 1110513 4.98% 27730 859633 4.98% 6234 193281 5.00% 40210104 1246513238 3.24%
9 32871 1019004 4.57% 25530 791444 4.59% 5754 178384 4.61% 29773087 922965705 2.40%
10 29879 926253 4.15% 23217 719736 4.17% 5083 157582 4.07% 30538905 946706063 2.46%
11 28008 868252 3.89% 21716 673221 3.90% 4791 148538 3.84% 32606655 1010806312 2.63%
12 27286 845895 3.79% 21219 657805 3.81% 4724 146463 3.79% 39444072 1222766245 3.18%
13 24341 754586 3.38% 18606 576792 3.34% 4405 136579 3.53% 30222291 936891019 2.44%
14 22064 683995 3.07% 16598 514550 2.98% 4153 128755 3.33% 23123947 716842369 1.87%
15 20216 626718 2.81% 14900 461902 2.68% 4014 124456 3.22% 17794672 551634842 1.44%
16 20737 642865 2.88% 15196 471102 2.73% 4173 129377 3.34% 22361114 693194549 1.80%
17 23224 719953 3.23% 17164 532094 3.09% 4204 130352 3.37% 18295684 567166207 1.48%
18 27774 860997 3.86% 20175 625434 3.63% 4854 150478 3.89% 31572856 978758547 2.55%
19 29292 908072 4.07% 21683 672196 3.90% 4825 149585 3.87% 37068748 1149131193 2.99%
20 29650 919173 4.12% 22252 689833 4.00% 4818 149371 3.86% 43837017 1358947536 3.54%
21 25314 784737 3.52% 19196 595076 3.45% 4467 138491 3.58% 25563596 792471484 2.06%
22 27892 864680 3.88% 21479 665867 3.86% 4707 145943 3.77% 39981658 1239431397 3.23%
23 33558 1040298 4.66% 26515 821985 4.77% 5434 168469 4.35% 120216145 3726700500 9.70%

Top 100 of 18910 Total URLs
# Hits KBytes URL
1 1264391 5.67% 138138835 0.36% /ml/datasets.html
2 457772 2.05% 5276427 0.01% /ml/
3 385129 1.73% 615553502 1.60% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
4 168559 0.76% 742983 0.00% /ml/machine-learning-databases/iris/iris.data
5 52704 0.24% 4478641 0.01% /ml/machine-learning-databases/
6 51500 0.23% 183988616 0.48% /ml/machine-learning-databases/adult/adult.data
7 43416 0.19% 3091993 0.01% /ml/datasets/Iris
8 41373 0.19% 431324 0.00% /ml/machine-learning-databases/wine/wine.data
9 39324 0.18% 9975139 0.03% /ml/machine-learning-databases/wine-quality/winequality-white.csv
10 39302 0.18% 61391 0.00% /ml/machine-learning-databases/iris/
11 39017 0.17% 3178838 0.01% /ml/machine-learning-databases/wine-quality/winequality-red.csv
12 36760 0.16% 3368536653 8.77% /ml/machine-learning-databases/00460/fullData.anonymous.tar.bz2
13 36522 0.16% 1570 0.00% /
14 29916 0.13% 5519127 0.01% /ml/machine-learning-databases/abalone/abalone.data
15 29222 0.13% 3514166 0.01% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
16 29110 0.13% 1457987 0.00% /ml/machine-learning-databases/car/car.data
17 27760 0.12% 191479 0.00% /ml/machine-learning-databases/00331/sentiment labelled sentences.zip
18 25887 0.12% 1334206848 3.47% /ml/machine-learning-databases/00269/dir_data.tar
19 24114 0.11% 967535 0.00% /ml/datasets/Adult
20 22661 0.10% 1620829 0.00% /ml/datasets/iris
21 22257 0.10% 398236 0.00% /ml/datasets.html/datasets.html
22 21530 0.10% 52674 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
23 20731 0.09% 398495 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
24 20573 0.09% 36262 0.00% /ml/machine-learning-databases/adult/
25 19120 0.09% 740230 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
26 19026 0.09% 164456 0.00% /ml/datasets/Wine+Quality
27 18713 0.08% 369310 0.00% /ml/datasets/Car+Evaluation
28 18343 0.08% 461883 0.00% /ml/machine-learning-databases/autos/imports-85.data
29 17386 0.08% 509529 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
30 17342 0.08% 189905 0.00% /ml/datasets/Bank+Marketing
31 16799 0.08% 580990 0.00% /ml/datasets/Wine
32 16589 0.07% 859635 0.00% /ml/datasets/Heart+Disease
33 16004 0.07% 445303 0.00% /ml/datasets/Abalone
34 15333 0.07% 44395 0.00% /ml/machine-learning-databases/iris/iris.names
35 14286 0.06% 541686223 1.41% /ml/machine-learning-databases/00279/SUSY.csv.gz
36 14049 0.06% 667022 0.00% /ml/machine-learning-databases/housing/housing.data
37 13568 0.06% 18312 0.00% /ml/machine-learning-databases/wine/
38 13420 0.06% 2541007620 6.61% /ml/machine-learning-databases/00340/data.zip
39 12397 0.06% 16945 0.00% /ml/machine-learning-databases/car/
40 11874 0.05% 50775 0.00% /ml/machine-learning-databases/heart-disease/
41 11758 0.05% 125712 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
42 11700 0.05% 16335 0.00% /ml/machine-learning-databases/wine-quality/
43 10954 0.05% 105371 0.00% /ml/datasets/default+of+credit+card+clients
44 10869 0.05% 19330694 0.05% /ml/machine-learning-databases/adult/adult.test
45 10163 0.05% 13990 0.00% /ml/machine-learning-databases/abalone/
46 9863 0.04% 43249 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
47 9059 0.04% 99680 0.00% /ml/datasets/Student+Performance
48 8955 0.04% 45131 0.00% /ml/machine-learning-databases/adult/adult.names
49 8831 0.04% 85916 0.00% /ml/datasets/Forest+Fires
50 8787 0.04% 3011382 0.01% /ml/machine-learning-databases/mushroom/agaricus-lepiota.data
51 8534 0.04% 10234 0.00% /ml/machine-learning-databases/00222/
52 8433 0.04% 202136765 0.53% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
53 8410 0.04% 87031 0.00% /ml/datasets/Bike+Sharing+Dataset
54 8240 0.04% 131115 0.00% /ml/datasets/Auto+MPG
55 8217 0.04% 133103780 0.35% /ml/machine-learning-databases/00352/Online Retail.xlsx
56 7909 0.04% 12547375537 32.66% /ml/machine-learning-databases/00280/HIGGS.csv.gz
57 7755 0.03% 4244614 0.01% /ml/machine-learning-databases/optdigits/optdigits.tra
58 7611 0.03% 70195 0.00% /ml/datasets/Poker+Hand
59 7493 0.03% 92264 0.00% /ml/datasets/Automobile
60 7456 0.03% 503070 0.00% /ml/datasets/Breast+Cancer
61 7241 0.03% 270213 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
62 7222 0.03% 84784 0.00% /ml/datasets/Absenteeism+at+work
63 7052 0.03% 164076 0.00% /ml/datasets/Census+Income
64 7037 0.03% 378017 0.00% /ml/machine-learning-databases/00000/
65 7014 0.03% 57273 0.00% /ml/datasets/Online+Retail
66 6918 0.03% 123841 0.00% /ml/machine-learning-databases/heart-disease/processed.cleveland.data
67 6913 0.03% 3384811 0.01% /ml/machine-learning-databases/00222/bank.zip
68 6746 0.03% 179783 0.00% /ml/datasets.html/datasets/datasets.html
69 6734 0.03% 104601656 0.27% /ml/machine-learning-databases/00462/drugsCom_raw.zip
70 6730 0.03% 10589 0.00% /ml/machine-learning-databases/auto-mpg/
71 6724 0.03% 230002 0.00% /ml/machine-learning-databases/00312/dow_jones_index.zip
72 6642 0.03% 40150 0.00% /ml/machine-learning-databases/balance-scale/balance-scale.data
73 6420 0.03% 65775 0.00% /ml/datasets/Air+Quality
74 6417 0.03% 103384 0.00% /ml/datasets/Statlog+(German+Credit+Data)
75 6235 0.03% 149947 0.00% /ml//datasets.html
76 6051 0.03% 91489366 0.24% /ml/machine-learning-databases/00463/XOR_Arbiter_PUFs.zip
77 5934 0.03% 32392 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.names
78 5925 0.03% 51702 0.00% /ml/datasets/Drug+Review+Dataset+(Drugs.com)
79 5917 0.03% 23429 0.00% /ml/datasets/Pima+Indians+Diabetes
80 5886 0.03% 73978 0.00% /ml/datasets/Online+News+Popularity
81 5854 0.03% 10998142 0.03% /ml/machine-learning-databases/00381/PRSA_data_2010.1.1-2014.12.31.csv
82 5852 0.03% 495225 0.00% /ml/machine-learning-databases/undocumented/connectionist-bench/sonar/sonar.all-data
83 5835 0.03% 596 0.00% /ml/machine-learning-databases/iris/Index
84 5834 0.03% 9177 0.00% /ml/machine-learning-databases/autos/
85 5800 0.03% 16937 0.00% /ml/machine-learning-databases/wine/wine.names
86 5776 0.03% 66724 0.00% /ml/machine-learning-databases/glass/glass.data
87 5762 0.03% 62168107 0.16% /ml/machine-learning-databases/00235/household_power_consumption.zip
88 5759 0.03% 62875 0.00% /ml/datasets/bank+marketing
89 5739 0.03% 22199 0.00% /ml/datasets/Housing
90 5661 0.03% 196543 0.00% /ml/datasets/wine
91 5629 0.03% 221997 0.00% /ml/datasets/Mushroom
92 5420 0.02% 40386 0.00% /ml/datasets/banknote+authentication
93 5406 0.02% 417053 0.00% /ml/machine-learning-databases/statlog/german/german.data
94 5331 0.02% 64425 0.00% /ml/datasets/Spambase
95 5299 0.02% 62287876 0.16% /ml/machine-learning-databases/00347/1000_test.csv.gz
96 5258 0.02% 16655 0.00% /ml/machine-learning-databases/wine-quality/winequality.names
97 5241 0.02% 162434 0.00% /ml/machine-learning-databases/credit-screening/crx.data
98 5215 0.02% 208343 0.00% /ml/datasets/adult
99 5204 0.02% 210351 0.00% /ml/datasets/Diabetes
100 5173 0.02% 7298 0.00% /ml/machine-learning-databases/breast-cancer/

Top 100 of 18910 Total URLs By KBytes
# Hits KBytes URL
1 7909 0.04% 12547375537 32.66% /ml/machine-learning-databases/00280/HIGGS.csv.gz
2 192 0.00% 6687791571 17.41% /ml/machine-learning-databases/00439/peak-detection-data.tar.xz
3 36760 0.16% 3368536653 8.77% /ml/machine-learning-databases/00460/fullData.anonymous.tar.bz2
4 13420 0.06% 2541007620 6.61% /ml/machine-learning-databases/00340/data.zip
5 25887 0.12% 1334206848 3.47% /ml/machine-learning-databases/00269/dir_data.tar
6 1387 0.01% 975416698 2.54% /ml/machine-learning-databases/00251/WTD_upload.zip
7 385129 1.73% 615553502 1.60% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
8 1573 0.01% 570913632 1.49% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
9 1129 0.01% 546848650 1.42% /ml/machine-learning-databases/00385/de.tar.bz2
10 14286 0.06% 541686223 1.41% /ml/machine-learning-databases/00279/SUSY.csv.gz
11 791 0.00% 535798496 1.39% /ml/machine-learning-databases/00455/Tests.rar
12 549 0.00% 465924187 1.21% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
13 88 0.00% 439373725 1.14% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
14 788 0.00% 358816319 0.93% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
15 1560 0.01% 288377180 0.75% /ml/machine-learning-databases/p53/p53_old_2010.zip
16 3676 0.02% 273830703 0.71% /ml/machine-learning-databases/00344/Activity recognition exp.zip
17 4541 0.02% 254977151 0.66% /ml/machine-learning-databases/00454/dataset.zip
18 7 0.00% 254774861 0.66% /ml/machine-learning-databases/00439//peak-detection-data.tar.xz
19 1344 0.01% 237381055 0.62% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
20 439 0.00% 213974382 0.56% /ml/machine-learning-databases/00456/multimodal-deep-learning-disaster-response-mouzannar.zip
21 8433 0.04% 202136765 0.53% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
22 4761 0.02% 188806644 0.49% /ml/machine-learning-databases/00288/leaf.zip
23 51500 0.23% 183988616 0.48% /ml/machine-learning-databases/adult/adult.data
24 742 0.00% 175544529 0.46% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
25 415 0.00% 171983713 0.45% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
26 385 0.00% 171955701 0.45% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
27 2815 0.01% 150251446 0.39% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
28 1264391 5.67% 138138835 0.36% /ml/datasets.html
29 8217 0.04% 133103780 0.35% /ml/machine-learning-databases/00352/Online Retail.xlsx
30 2287 0.01% 131280409 0.34% /ml/machine-learning-databases/00256/data.zip
31 3942 0.02% 126206429 0.33% /ml/machine-learning-databases/00447/data.zip
32 1074 0.00% 116715997 0.30% /ml/machine-learning-databases/00339/train.csv.zip
33 3342 0.01% 105012762 0.27% /ml/machine-learning-databases/00322/data.zip
34 6734 0.03% 104601656 0.27% /ml/machine-learning-databases/00462/drugsCom_raw.zip
35 343 0.00% 102839641 0.27% /ml/machine-learning-databases/00318/NoisyOffice.zip
36 199 0.00% 97946442 0.25% /ml/machine-learning-databases/00347/1000_train.csv.gz
37 654 0.00% 94877227 0.25% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
38 2302 0.01% 93022272 0.24% /ml/machine-learning-databases/00204/PEMS-SF.zip
39 6051 0.03% 91489366 0.24% /ml/machine-learning-databases/00463/XOR_Arbiter_PUFs.zip
40 108 0.00% 89257593 0.23% /ml/machine-learning-databases/00347/all_train.csv.gz
41 2118 0.01% 88590030 0.23% /ml/machine-learning-databases/00210/donation.zip
42 748 0.00% 73050461 0.19% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
43 3932 0.02% 71357210 0.19% /ml/machine-learning-databases/poker/poker-hand-testing.data
44 196 0.00% 68810668 0.18% /ml/databases/census1990/USCensus1990.data.txt
45 5299 0.02% 62287876 0.16% /ml/machine-learning-databases/00347/1000_test.csv.gz
46 5762 0.03% 62168107 0.16% /ml/machine-learning-databases/00235/household_power_consumption.zip
47 1207 0.01% 58967445 0.15% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
48 2824 0.01% 57935440 0.15% /ml/machine-learning-databases/00417/fonts.zip
49 329 0.00% 49914122 0.13% /ml/machine-learning-databases/url/url_svmlight.tar.gz
50 3660 0.02% 46021127 0.12% /ml/machine-learning-databases/00341/HAPT Data Set.zip
51 189 0.00% 45755045 0.12% /ml/machine-learning-databases/00306/dataset_segmentation.rar
52 1070 0.00% 44914688 0.12% /ml/machine-learning-databases/00401/TCGA-PANCAN-HiSeq-801x20531.tar.gz
53 1473 0.01% 43277493 0.11% /ml/machine-learning-databases/00442/Philips_B120N10_Baby_Monitor/bengin_traffic.csv
54 35 0.00% 41354126 0.11% /ml/machine-learning-databases/00347/not1000_train.csv.gz
55 861 0.00% 37282840 0.10% /ml/machine-learning-databases/00239/corpus.zip
56 3308 0.01% 36479345 0.09% /ml/machine-learning-databases/00347/all_test.csv.gz
57 1 0.00% 36396409 0.09% /ml//machine-learning-databases/00439/peak-detection-data.tar.xz
58 575 0.00% 35065937 0.09% /ml/machine-learning-databases/00361/data1.zip
59 154 0.00% 34166447 0.09% /ml/machine-learning-databases/p53/p53_new_2012.zip
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Top 10 of 4196 Total Exit Pages
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Top 10 of 28363 Total Referrers
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Top 100 of 494 Total Search Strings
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10 17 1.28% https://archive.ics.uci.edu/ml/datasets/bank marketing#
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16 12 0.90% https://archive.ics.uci.edu/ml/datasets/detection_of_iot_botnet_attacks_n_baiot
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37 6 0.45% uci data
38 5 0.38% http://archive.ics.uci.edu/ml/index.php
39 5 0.38% https://archive.ics.uci.edu/ml/datasets/air quality
40 5 0.38% https://archive.ics.uci.edu/ml/datasets/breast cancer
41 5 0.38% https://archive.ics.uci.edu/ml/datasets/communities and crime
42 5 0.38% https://archive.ics.uci.edu/ml/datasets/congressional voting records
43 5 0.38% https://archive.ics.uci.edu/ml/datasets/diabetes
44 5 0.38% https://archive.ics.uci.edu/ml/datasets/diabetes 130-us hospitals for years 1999-2008
45 5 0.38% https://archive.ics.uci.edu/ml/datasets/insurance company benchmark (coil 2000)
46 5 0.38% https://archive.ics.uci.edu/ml/datasets/online retail
47 5 0.38% ivan
48 5 0.38% pima site:archive.ics.uci.edu/ml
49 5 0.38% sponge
50 5 0.38% uci data repository
51 5 0.38% vowel site:archive.ics.uci.edu/ml
52 4 0.30% diabetic site:archive.ics.uci.edu/ml
53 4 0.30% http://www.ics.uci.edu/~mlearn/mlrepository.html
54 4 0.30% https://archive.ics.uci.edu/ml/datasets/abalone
55 4 0.30% https://archive.ics.uci.edu/ml/datasets/autism screening adult
56 4 0.30% https://archive.ics.uci.edu/ml/datasets/auto mpg
57 4 0.30% https://archive.ics.uci.edu/ml/datasets/breast cancer coimbra#
58 4 0.30% https://archive.ics.uci.edu/ml/datasets/census income
59 4 0.30% https://archive.ics.uci.edu/ml/datasets/facebook comment volume dataset#
60 4 0.30% https://archive.ics.uci.edu/ml/datasets/sentiment labelled sentences
61 4 0.30% https://archive.ics.uci.edu/ml/datasets/student performance
62 4 0.30% uci archive iris
63 3 0.23% 00334
64 3 0.23% bank additional dataset
65 3 0.23% brain site:archive.ics.uci.edu/ml
66 3 0.23% breast cancer site:archive.ics.uci.edu/ml
67 3 0.23% breast cancer wisconsin breast cancer prognostic dataset site:archive.ics.uci.edu/ml
68 3 0.23% diabetic kidney failure data
69 3 0.23% german credit site:archive.ics.uci.edu/ml
70 3 0.23% heart disease uci
71 3 0.23% http://archive.ics.uci.edu/ml
72 3 0.23% https://archive.ics.uci.edu/ml/
73 3 0.23% https://archive.ics.uci.edu/ml/datasets/banknote authentication
74 3 0.23% https://archive.ics.uci.edu/ml/datasets/blogfeedback
75 3 0.23% https://archive.ics.uci.edu/ml/datasets/breast cancer wisconsin (diagnostic)
76 3 0.23% https://archive.ics.uci.edu/ml/datasets/daily and sports activities
77 3 0.23% https://archive.ics.uci.edu/ml/datasets/diabetes 130-us hospitals for years 1999-2008#
78 3 0.23% https://archive.ics.uci.edu/ml/datasets/dodgers loop sensor
79 3 0.23% https://archive.ics.uci.edu/ml/datasets/energy efficiency
80 3 0.23% https://archive.ics.uci.edu/ml/datasets/letter recognition
81 3 0.23% https://archive.ics.uci.edu/ml/datasets/mushroom
82 3 0.23% https://archive.ics.uci.edu/ml/datasets/online news popularity#
83 3 0.23% https://archive.ics.uci.edu/ml/datasets/parkinson speech dataset with multiple types of sound recordings
84 3 0.23% https://archive.ics.uci.edu/ml/machine-learning-databases/internet_usage-mld/changes
85 3 0.23% https://archive.ics.uci.edu/ml/machine-learning-databases/optdigits/
86 3 0.23% iris dataset
87 3 0.23% paper reviews data set site:archive.ics.uci.edu/ml
88 3 0.23% polish bankcrupcy uci dataset
89 3 0.23% satimage site:archive.ics.uci.edu/ml
90 3 0.23% splice site:archive.ics.uci.edu/ml
91 3 0.23% texture site:archive.ics.uci.edu/ml
92 3 0.23% uci machine learning repository
93 2 0.15% 1000 tweets dataset positive negative labelled
94 2 0.15% aggregation site:archive.ics.uci.edu/ml
95 2 0.15% air quality uci dataset
96 2 0.15% all char dataset.for.machine learning
97 2 0.15% bankruptcy dataset
98 2 0.15% breast cancer uci dataset
99 2 0.15% buzz in social media dataset
100 2 0.15% data mining predict diabetes

Top 1 of 1 Total Usernames
# Hits Files KBytes Visits Username
1 230 0.00% 230 0.00% 2121 0.00% 92 0.01% ads

Top 100 of 20421 Total User Agents
# Hits User Agent
1 4189151 18.78% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
2 1340271 6.01% MobileSafari/604.1 CFNetwork/974.2.1 Darwin/18.0.0
3 797275 3.58% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
4 618525 2.77% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36 Edge/17.1
5 570372 2.56% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:62.0) Gecko/20100101 Firefox/62.0
6 544268 2.44% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
7 469927 2.11% Mozilla/5.0 (compatible; SemrushBot/2~bl; +http://www.semrush.com/bot.html)
8 462369 2.07% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
9 375208 1.68% Transmission/2.93
10 373220 1.67% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
11 354016 1.59% Safari/14606.1.36.1.9 CFNetwork/974.1 Darwin/18.0.0 (x86_64)
12 328825 1.47% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:62.0) Gecko/20100101 Firefox/62.0
13 320682 1.44% Safari/13606.2.11 CFNetwork/902.1 Darwin/17.7.0 (x86_64)
14 302682 1.36% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.67 Safari/537.36
15 294208 1.32% MobileSafari/604.1 CFNetwork/902.2 Darwin/17.7.0
16 265138 1.19% Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)
17 226795 1.02% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Safari/605.1.15
18 224365 1.01% Python-urllib/3.6
19 221329 0.99% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Safari/605.1.15
20 213356 0.96% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
21 175092 0.79% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
22 174554 0.78% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
23 164247 0.74% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:63.0) Gecko/20100101 Firefox/63.0
24 156915 0.70% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
25 141471 0.63% Mozilla/5.0 (Linux; Android) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.131 Safari/537.36
26 141431 0.63% Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:62.0) Gecko/20100101 Firefox/62.0
27 132728 0.60% Mozilla/5.0 (iPhone; CPU iPhone OS 12_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148 Sa
28 127921 0.57% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
29 122617 0.55% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
30 121620 0.55% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36
31 121600 0.55% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
32 111136 0.50% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
33 107869 0.48% Mozilla/5.0 (iPhone; CPU iPhone OS 12_0_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148
34 103131 0.46% python-requests/2.18.4
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36 100638 0.45% Safari/13605.3.8 CFNetwork/902.1 Darwin/17.7.0 (x86_64)
37 97797 0.44% Mozilla/5.0 (iPhone; CPU iPhone OS 11_3 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/11.0 Mobile/15E148 Sa
38 92517 0.41% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36 OPR/56.0.
39 92066 0.41% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 Edge/16.1
40 91021 0.41% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
41 86685 0.39% faviconkit/1.0 (https://faviconkit.com)
42 85300 0.38% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/11.1.2 Safari/605.1.15
43 82711 0.37% Transmission/2.94
44 77301 0.35% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
45 67802 0.30% Python-urllib/3.5
46 67463 0.30% MobileSafari/604.1 CFNetwork/975.0.3 Darwin/18.2.0
47 65812 0.30% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
48 64638 0.29% Python-urllib/3.7
49 61934 0.28% MobileSafari/604.1 CFNetwork/901.1 Darwin/17.6.0
50 61617 0.28% Safari%20%E6%B5%8F%E8%A7%88%E5%99%A8/14606.1.36.1.9 CFNetwork/974.1 Darwin/18.0.0 (x86_64)
51 61362 0.28% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:63.0) Gecko/20100101 Firefox/63.0
52 61163 0.27% Mozilla/5.0 (iPhone; CPU iPhone OS 11_4_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/11.0 Mobile/15E148
53 60704 0.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
54 59965 0.27% MobileSafari/604.1 CFNetwork/897.15 Darwin/17.5.0
55 59671 0.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
56 57475 0.26% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.13; rv:62.0) Gecko/20100101 Firefox/62.0
57 57380 0.26% Mozilla/5.0 (Windows NT 6.3; Win64; x64; rv:62.0) Gecko/20100101 Firefox/62.0
58 54872 0.25% Safari/12606.2.11 CFNetwork/811.9 Darwin/16.7.0 (x86_64)
59 54133 0.24% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:61.0) Gecko/20100101 Firefox/61.0
60 52343 0.23% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.67 Safari/537.36
61 51309 0.23% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko)
62 50750 0.23% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Safari/605.1.15
63 48732 0.22% Safari%20%E6%B5%8F%E8%A7%88%E5%99%A8/13606.2.11 CFNetwork/902.1 Darwin/17.7.0 (x86_64)
64 48620 0.22% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.67 Safari/537.36
65 47955 0.22% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
66 46532 0.21% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14) AppleWebKit/605.1.15 (KHTML, like Gecko)
67 45755 0.21% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36
68 38514 0.17% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:62.0) Gecko/20100101 Firefox/62.0
69 36935 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
70 36259 0.16% Mozilla/5.0 (Windows NT 6.2; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
71 35061 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_4) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/11.1 Safari/605.1.15
72 35021 0.16% Mozilla/5.0 (Windows NT 6.1; rv:62.0) Gecko/20100101 Firefox/62.0
73 34781 0.16% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/69.0.3497.81 Chrome/69.0.3497.81 Safar
74 34697 0.16% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36
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78 33333 0.15% Mozilla/5.0 (X11; Linux x86_64; rv:62.0) Gecko/20100101 Firefox/62.0
79 33153 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
80 32888 0.15% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
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82 30603 0.14% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36
83 30385 0.14% \"Mozilla/5.0 (iPhone; CPU iPhone OS 11_0 like Mac OS X) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Mobile/15A372
84 29388 0.13% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
85 29289 0.13% Python-urllib/2.7
86 28636 0.13% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
87 28566 0.13% Safari/13605.1.33.1.2 CFNetwork/897.15 Darwin/17.5.0 (x86_64)
88 28415 0.13% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.92 Safari/537.36
89 28340 0.13% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 SE 2.X MetaSr
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99 24792 0.11% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
100 24263 0.11% PiplBot (+http://www.pipl.com/bot/)

Usage by Country for October 2018

Top 30 of 230 Total Countries
# Hits Files KBytes Country
1 3374864 15.13% 2455053 14.24% 3184726251 8.29% Network (net)
2 2595459 11.64% 2078924 12.05% 3191125781 8.31% Commercial (com)
3 2482551 11.13% 1946151 11.28% 16068271089 41.82% China
4 2090932 9.38% 1866934 10.82% 2068791520 5.38% India
5 1622548 7.28% 1309916 7.60% 1175191175 3.06% United States
6 716324 3.21% 620546 3.60% 498893035 1.30% Educational (edu)
7 584225 2.62% 535142 3.10% 883530941 2.30% Indonesia
8 497287 2.23% 420858 2.44% 361902807 0.94% Brazil
9 474713 2.13% 351278 2.04% 270393468 0.70% Korea, Republic of
10 389116 1.74% 353079 2.05% 700173538 1.82% Malaysia
11 377263 1.69% 282965 1.64% 265458763 0.69% Germany
12 376973 1.69% 279742 1.62% 418730494 1.09% Canada
13 343680 1.54% 225901 1.31% 219787405 0.57% Japan
14 337900 1.52% 269414 1.56% 244678231 0.64% Turkey
15 311701 1.40% 253080 1.47% 301627718 0.79% Russian Federation
16 294078 1.32% 218650 1.27% 199242150 0.52% Italy
17 285258 1.28% 250548 1.45% 241445237 0.63% Unresolved/Unknown
18 251779 1.13% 210063 1.22% 208639393 0.54% Great Britain (UK)
19 248635 1.11% 188877 1.10% 173728602 0.45% Australia
20 243849 1.09% 189632 1.10% 198087912 0.52% Singapore
21 243480 1.09% 183640 1.06% 2254347498 5.87% France
22 233085 1.05% 206285 1.20% 165611884 0.43% Taiwan
23 226840 1.02% 196605 1.14% 331568891 0.86% Thailand
24 219412 0.98% 192910 1.12% 928274623 2.42% Iran
25 205492 0.92% 160062 0.93% 166631959 0.43% Mexico
26 201429 0.90% 168911 0.98% 96767317 0.25% United Kingdom
27 200846 0.90% 168619 0.98% 135854681 0.35% Poland
28 175681 0.79% 164159 0.95% 308553173 0.80% Pakistan
29 171860 0.77% 148150 0.86% 154354922 0.40% Spain
30 128257 0.58% 111980 0.65% 81792022 0.21% Colombia

Generated by Webalizer Version 2.23