Usage Statistics for archive.ics.uci.edu

Summary Period: February 2019
Generated 08-Feb-2019 06:44 PST

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

Monthly Statistics for February 2019
Total Hits 4976739
Total Files 3884214
Total Pages 1127209
Total Visits 179586
Total KBytes 5485623553
Total Unique Sites 109349
Total Unique URLs 128241
Total Unique Referrers 12414
Total Unique Usernames 2
Total Unique User Agents 7680
. Avg Max
Hits per Hour 25920 53172
Hits per Day 622092 798106
Files per Day 485526 640773
Pages per Day 140901 206250
Sites per Day 13668 23239
Visits per Day 22448 27982
KBytes per Day 685702944 1496330673
Hits by Response Code
Code 200 - OK 78.05% 3884214
Code 206 - Partial Content 0.52% 25833
Code 301 - Moved Permanently 0.19% 9650
Code 302 - Found 0.03% 1581
Code 304 - Not Modified 1.38% 68675
Code 400 - Bad Request 0.00% 169
Code 403 - Forbidden 0.00% 7
Code 404 - Not Found 19.36% 963582
Code 405 - Method Not Allowed 0.01% 256
Code 416 - Requested Range Not Satisfiable 0.00% 24
Code 500 - Internal Server Error 0.46% 22748

Daily usage for February 2019

Daily Statistics for February 2019
Day Hits Files Pages Visits Sites KBytes
1 720986 14.49% 556245 14.32% 206250 18.30% 25661 14.29% 21351 19.53% 920064587 16.77%
2 400036 8.04% 307853 7.93% 103717 9.20% 15481 8.62% 12903 11.80% 259643548 4.73%
3 615744 12.37% 476535 12.27% 154368 13.69% 24058 13.40% 18603 17.01% 285833804 5.21%
4 717904 14.43% 568157 14.63% 145770 12.93% 26767 14.90% 21620 19.77% 537298309 9.79%
5 793016 15.93% 640773 16.50% 167575 14.87% 27982 15.58% 23239 21.25% 675035324 12.31%
6 790625 15.89% 612129 15.76% 148890 13.21% 27766 15.46% 22912 20.95% 420159340 7.66%
7 798106 16.04% 609067 15.68% 165834 14.71% 27699 15.42% 23066 21.09% 1496330673 27.28%
8 140322 2.82% 113455 2.92% 34805 3.09% 4778 2.66% 4986 4.56% 891257968 16.25%

Hourly usage for February 2019

Hourly Statistics for February 2019
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 29368 234944 4.72% 23545 188361 4.85% 6607 52857 4.69% 30944833 247558662 4.51%
1 36348 290789 5.84% 29794 238355 6.14% 9466 75728 6.72% 38572988 308583907 5.63%
2 34006 272050 5.47% 27470 219762 5.66% 9654 77238 6.85% 123488545 987908362 18.01%
3 31743 253944 5.10% 25249 201993 5.20% 8568 68548 6.08% 32227472 257819780 4.70%
4 26022 208183 4.18% 20054 160436 4.13% 6118 48944 4.34% 22671235 181369877 3.31%
5 27284 218278 4.39% 20539 164315 4.23% 5204 41633 3.69% 17672904 141383229 2.58%
6 30106 240853 4.84% 23100 184801 4.76% 5883 47068 4.18% 31881053 255048427 4.65%
7 33067 264542 5.32% 25898 207184 5.33% 6436 51488 4.57% 25161723 201293785 3.67%
8 33215 265722 5.34% 26086 208691 5.37% 6477 51823 4.60% 17330188 138641504 2.53%
9 29924 239399 4.81% 23422 187376 4.82% 6044 48352 4.29% 27788534 222308268 4.05%
10 27342 218739 4.40% 21030 168243 4.33% 5478 43829 3.89% 30324964 242599710 4.42%
11 28207 225661 4.53% 22364 178915 4.61% 6038 48311 4.29% 24054769 192438151 3.51%
12 25011 200089 4.02% 19620 156966 4.04% 5580 44644 3.96% 31263462 250107695 4.56%
13 23119 184954 3.72% 17850 142807 3.68% 5143 41144 3.65% 18851196 150809569 2.75%
14 22186 177490 3.57% 16702 133616 3.44% 5050 40400 3.58% 20819050 166552398 3.04%
15 19369 154954 3.11% 14434 115477 2.97% 4880 39041 3.46% 20208233 161665866 2.95%
16 17577 140618 2.83% 12928 103429 2.66% 4123 32984 2.93% 14406775 115254197 2.10%
17 19090 152724 3.07% 14370 114965 2.96% 4905 39244 3.48% 27914856 223318851 4.07%
18 20674 165395 3.32% 15803 126428 3.25% 5375 43005 3.82% 41159699 329277596 6.00%
19 21348 170791 3.43% 16642 133137 3.43% 5211 41689 3.70% 19933693 159469547 2.91%
20 21806 174448 3.51% 17070 136563 3.52% 4270 34166 3.03% 15066446 120531569 2.20%
21 21613 172911 3.47% 16952 135618 3.49% 4063 32509 2.88% 15313694 122509550 2.23%
22 22233 177865 3.57% 17679 141439 3.64% 5301 42408 3.76% 15464932 123719452 2.26%
23 21424 171396 3.44% 16917 135337 3.48% 5019 40156 3.56% 23181700 185453602 3.38%

Top 100 of 128241 Total URLs
# Hits KBytes URL
1 399170 8.02% 33740121 0.62% /ml/datasets.html
2 98108 1.97% 1143954 0.02% /ml/
3 43811 0.88% 33717211 0.61% /ml/machine-learning-databases/adult/adult.data
4 28238 0.57% 124753 0.00% /ml/machine-learning-databases/iris/iris.data
5 18409 0.37% 167118 0.00% /ml/machine-learning-databases/car/car.data
6 13588 0.27% 615137 0.01% /ml/machine-learning-databases/00267/data_banknote_authentication.txt
7 12979 0.26% 1054757 0.02% /ml/machine-learning-databases/wine-quality/winequality-red.csv
8 12274 0.25% 1483215 0.03% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
9 10380 0.21% 922846 0.02% /ml/machine-learning-databases/
10 8700 0.17% 2213965 0.04% /ml/machine-learning-databases/wine-quality/winequality-white.csv
11 8057 0.16% 12604 0.00% /ml/machine-learning-databases/iris/
12 7199 0.14% 518049 0.01% /ml/datasets/Iris
13 6827 0.14% 275 0.00% /
14 6326 0.13% 159365 0.00% /ml/machine-learning-databases/autos/imports-85.data
15 6007 0.12% 62600 0.00% /ml/machine-learning-databases/wine/wine.data
16 5688 0.11% 10037 0.00% /ml/machine-learning-databases/adult/
17 5063 0.10% 12414 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
18 5049 0.10% 203880 0.00% /ml/datasets/Adult
19 4777 0.10% 337309 0.01% /ml/datasets/iris
20 4370 0.09% 124866 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
21 3934 0.08% 16866 0.00% /ml/machine-learning-databases/heart-disease/
22 3789 0.08% 5400 0.00% /ml/machine-learning-databases/wine-quality/
23 3700 0.07% 5008 0.00% /ml/machine-learning-databases/wine/
24 3671 0.07% 31894 0.00% /ml/datasets/Wine+Quality
25 3464 0.07% 37830 0.00% /ml/datasets/Bank+Marketing
26 3428 0.07% 178662 0.00% /ml/datasets/Heart+Disease
27 3427 0.07% 6094 0.00% /ml/machine-learning-databases/credit-screening/
28 3263 0.07% 4469 0.00% /ml/machine-learning-databases/car/
29 3140 0.06% 121818 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
30 3067 0.06% 3642 0.00% /ml/machine-learning-databases/00222/
31 2860 0.06% 99454 0.00% /ml/datasets/Wine
32 2833 0.06% 522736 0.01% /ml/machine-learning-databases/abalone/abalone.data
33 2668 0.05% 52501 0.00% /ml/datasets/Car+Evaluation
34 2663 0.05% 3674 0.00% /ml/machine-learning-databases/abalone/
35 2657 0.05% 47523 0.00% /ml/machine-learning-databases/heart-disease/processed.cleveland.data
36 2544 0.05% 7363 0.00% /ml/machine-learning-databases/iris/iris.names
37 2527 0.05% 50986 0.00% /ml/machine-learning-databases/00430/HTOSMHP8
38 2514 0.05% 47780 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
39 2424 0.05% 42924 0.00% /ml/datasets.html/datasets.html
40 2387 0.05% 25594 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
41 2371 0.05% 2380 0.00% /ml/machine-learning-databases/00484/
42 2340 0.05% 2356 0.00% /ml/machine-learning-databases/00485/
43 2297 0.05% 863244653 15.74% /ml/machine-learning-databases/00344/Activity recognition exp.zip
44 2281 0.05% 2254 0.00% /ml/machine-learning-databases/00482/
45 2280 0.05% 63644 0.00% /ml/datasets/Abalone
46 2263 0.05% 44901 0.00% /ml/datasets.html/datasets/datasets.html
47 2204 0.04% 2705 0.00% /ml/machine-learning-databases/00240/
48 2203 0.04% 11147 0.00% /ml/machine-learning-databases/adult/adult.names
49 2149 0.04% 2573 0.00% /ml/machine-learning-databases/diabetes/
50 2107 0.04% 3910144 0.07% /ml/machine-learning-databases/adult/adult.test
51 2091 0.04% 20016 0.00% /ml/datasets/default+of+credit+card+clients
52 2046 0.04% 2477 0.00% /ml/machine-learning-databases/forest-fires/
53 2032 0.04% 43519 0.00% /ml//datasets.html
54 2030 0.04% 2280 0.00% /ml/machine-learning-databases/00483/
55 2008 0.04% 8858 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
56 2001 0.04% 2057 0.00% /ml/machine-learning-databases/00481/
57 1987 0.04% 2041 0.00% /ml/machine-learning-databases/00480/
58 1956 0.04% 2835 0.00% /ml/machine-learning-databases/poker/
59 1938 0.04% 1934 0.00% /ml/machine-learning-databases/00471/
60 1930 0.04% 20899 0.00% /ml/datasets/Student+Performance
61 1916 0.04% 2665 0.00% /ml/machine-learning-databases/cpu-performance/
62 1890 0.04% 1897 0.00% /ml/machine-learning-databases/00312/
63 1890 0.04% 1294704 0.02% /ml/machine-learning-databases/letter-recognition/letter-recognition.data
64 1887 0.04% 1880 0.00% /ml/machine-learning-databases/00472/
65 1833 0.04% 1829 0.00% /ml/machine-learning-databases/00464/
66 1828 0.04% 29085 0.00% /ml/datasets/Auto+MPG
67 1798 0.04% 18357 0.00% /ml/datasets/Bike+Sharing+Dataset
68 1788 0.04% 84759 0.00% /ml/machine-learning-databases/housing/housing.data
69 1787 0.04% 61105 0.00% /ml/machine-learning-databases/00312/dow_jones_index.zip
70 1736 0.03% 1711 0.00% /ml/machine-learning-databases/00473/
71 1729 0.03% 1695 0.00% /ml/machine-learning-databases/00474/
72 1724 0.03% 615403 0.01% /ml/machine-learning-databases/mushroom/agaricus-lepiota.data
73 1547 0.03% 42828984 0.78% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
74 1535 0.03% 2156 0.00% /ml/machine-learning-databases/covtype/
75 1531 0.03% 15056 0.00% /ml/datasets/Forest+Fires
76 1520 0.03% 1010805 0.02% /ml/machine-learning-databases/spambase/spambase.data
77 1504 0.03% 1831 0.00% /ml/machine-learning-databases/dermatology/
78 1490 0.03% 2082 0.00% /ml/machine-learning-databases/connect-4/
79 1489 0.03% 2071 0.00% /ml/machine-learning-databases/chorales/
80 1463 0.03% 1707 0.00% /ml/machine-learning-databases/cmc/
81 1460 0.03% 2328 0.00% /ml/machine-learning-databases/auto-mpg/
82 1454 0.03% 17900 0.00% /ml/datasets/Automobile
83 1446 0.03% 11885 0.00% /ml/datasets/Online+Retail
84 1425 0.03% 2229 0.00% /ml/machine-learning-databases/autos/
85 1409 0.03% 769334 0.01% /ml/machine-learning-databases/optdigits/optdigits.tra
86 1399 0.03% 26785765 0.49% /ml/machine-learning-databases/00352/Online Retail.xlsx
87 1370 0.03% 12647 0.00% /ml/datasets/Poker+Hand
88 1364 0.03% 1889 0.00% /ml/machine-learning-databases/cylinder-bands/
89 1351 0.03% 13860 0.00% /ml/datasets/Air+Quality
90 1340 0.03% 21590 0.00% /ml/datasets/Statlog+(German+Credit+Data)
91 1315 0.03% 71253 0.00% /ml/machine-learning-databases/00000/
92 1272 0.03% 97789 0.00% /ml/machine-learning-databases/statlog/german/german.data
93 1261 0.03% 66214 0.00% /ml/datasets/heart+Disease
94 1232 0.02% 14510 0.00% /ml/datasets/Absenteeism+at+work
95 1229 0.02% 10928 0.00% /ml/datasets/Parkinson's+Disease+Classification
96 1223 0.02% 1679 0.00% /ml/machine-learning-databases/housing/
97 1212 0.02% 10749 0.00% /ml/datasets/EMG+data+for+gestures
98 1192 0.02% 600323 0.01% /ml/machine-learning-databases/00222/bank.zip
99 1174 0.02% 41921 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
100 1159 0.02% 12732 0.00% /ml/datasets/bank+marketing

Top 100 of 128241 Total URLs By KBytes
# Hits KBytes URL
1 51 0.00% 1402839910 25.57% /ml/machine-learning-databases/00439/peak-detection-data.tar.xz
2 2297 0.05% 863244653 15.74% /ml/machine-learning-databases/00344/Activity recognition exp.zip
3 201 0.00% 464832479 8.47% /ml/machine-learning-databases/00340/data.zip
4 636 0.01% 365029333 6.65% /ml/machine-learning-databases/00280/HIGGS.csv.gz
5 105 0.00% 304859011 5.56% /ml/machine-learning-databases/00251/WTD_upload.zip
6 147 0.00% 255689343 4.66% /ml/machine-learning-databases/00269/dir_data.tar
7 50 0.00% 113746420 2.07% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
8 143 0.00% 104370502 1.90% /ml/machine-learning-databases/00455/Tests.rar
9 445 0.01% 98735878 1.80% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
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15 38 0.00% 49024144 0.89% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
16 272 0.01% 42941585 0.78% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
17 1547 0.03% 42828984 0.78% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
18 76 0.00% 38092192 0.69% /ml/machine-learning-databases/00347/1000_train.csv.gz
19 67 0.00% 37661296 0.69% /ml/machine-learning-databases/00347/all_train.csv.gz
20 93 0.00% 36717606 0.67% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
21 399170 8.02% 33740121 0.62% /ml/datasets.html
22 43811 0.88% 33717211 0.61% /ml/machine-learning-databases/adult/adult.data
23 280 0.01% 33287765 0.61% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
24 293 0.01% 31154403 0.57% /ml/machine-learning-databases/00480/Measurements_Upload_Smaller.zip
25 91 0.00% 29531199 0.54% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
26 355 0.01% 27271749 0.50% /ml/machine-learning-databases/00256/data.zip
27 36 0.00% 26962363 0.49% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
28 1399 0.03% 26785765 0.49% /ml/machine-learning-databases/00352/Online Retail.xlsx
29 118 0.00% 24802890 0.45% /ml/machine-learning-databases/00347/1000_test.csv.gz
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31 220 0.00% 19867038 0.36% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
32 96 0.00% 17296302 0.32% /ml/machine-learning-databases/00322/data.zip
33 48 0.00% 16938011 0.31% /ml/databases/census1990/USCensus1990.data.txt
34 88 0.00% 16561699 0.30% /ml/machine-learning-databases/00339/train.csv.zip
35 124 0.00% 16376826 0.30% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
36 72 0.00% 15124936 0.28% /ml/machine-learning-databases/00318/NoisyOffice.zip
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39 284 0.01% 13617396 0.25% /ml/machine-learning-databases/00210/donation.zip
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48 190 0.00% 9804506 0.18% /ml/machine-learning-databases/00239/corpus.zip
49 479 0.01% 8961275 0.16% /ml/machine-learning-databases/poker/poker-hand-testing.data
50 267 0.01% 8196001 0.15% /ml/machine-learning-databases/00401/TCGA-PANCAN-HiSeq-801x20531.tar.gz
51 1 0.00% 8172472 0.15% /ml//machine-learning-databases/00251/WTD_upload.zip
52 39 0.00% 7577012 0.14% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
53 178 0.00% 7395205 0.13% /ml/machine-learning-databases/00447/data.zip
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55 247 0.00% 6994295 0.13% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
56 253 0.01% 6724821 0.12% /ml/machine-learning-databases/00205/OpinRankDataset.zip
57 112 0.00% 5886490 0.11% /ml/machine-learning-databases/gisette/GISETTE/gisette_train.data
58 145 0.00% 5873563 0.11% /ml/machine-learning-databases/00389/DevanagariHandwrittenCharacterDataset.zip
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60 112 0.00% 5661276 0.10% /ml/machine-learning-databases/00341/HAPT Data Set.zip
61 40 0.00% 5532228 0.10% /ml/machine-learning-databases/00347/not1000_test.csv.gz
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64 424 0.01% 4911376 0.09% /ml/machine-learning-databases/00481/EMG_data_for_gestures-master.zip
65 113 0.00% 4559665 0.08% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
66 271 0.01% 4135888 0.08% /ml/machine-learning-databases/00349/OULAD.zip
67 2107 0.04% 3910144 0.07% /ml/machine-learning-databases/adult/adult.test
68 269 0.01% 3866979 0.07% /ml/machine-learning-databases/00246/3D_spatial_network.txt
69 95 0.00% 3669715 0.07% /ml/machine-learning-databases/00204/PEMS-SF.zip
70 109 0.00% 3556859 0.06% /ml/machine-learning-databases/00326/TV_News_Channel_Commercial_Detection_Dataset.zip
71 451 0.01% 3524563 0.06% /ml/machine-learning-databases/00363/Dataset.zip
72 407 0.01% 3498269 0.06% /ml/machine-learning-databases/covtype/covtype.data.gz
73 67 0.00% 3379748 0.06% /ml/machine-learning-databases/00361/data1.zip
74 240 0.00% 3302289 0.06% /ml/machine-learning-databases/00359/NewsAggregatorDataset.zip
75 156 0.00% 3299861 0.06% /ml/machine-learning-databases/00328/ghg_data.zip
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80 45 0.00% 3225790 0.06% /ml/machine-learning-databases/00442/Danmini_Doorbell/mirai_attacks.rar
81 586 0.01% 2976177 0.05% /ml/machine-learning-databases/00350/default of credit card clients.xls
82 1 0.00% 2920920 0.05% /ml//machine-learning-databases/00269/dir_data.tar
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84 152 0.00% 2701216 0.05% /ml/machine-learning-databases/00325/Sensorless_drive_diagnosis.txt
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89 8700 0.17% 2213965 0.04% /ml/machine-learning-databases/wine-quality/winequality-white.csv
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Top 10 of 3434 Total Entry Pages
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Top 10 of 2427 Total Exit Pages
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Top 30 of 109349 Total Sites By KBytes
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Top 10 of 12414 Total Referrers
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Top 100 of 153 Total Search Strings
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44 2 0.59% https://archive.ics.uci.edu/ml/datasets/image segmentation
45 2 0.59% https://archive.ics.uci.edu/ml/datasets/iris
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52 2 0.59% iris flower data set
53 2 0.59% uci
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55 2 0.59% urine colour dataset download
56 2 0.59% what is aps mean on scania truck
57 1 0.29% 8 kalac datay shet pepar kab hain
58 1 0.29% abalone dataset
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65 1 0.29% breast cancer dataset
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73 1 0.29% dataset bag of words
74 1 0.29% dataset for sentiment analysis
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79 1 0.29% event classification data set
80 1 0.29% event site:archive.ics.uci.edu/ml
81 1 0.29% fire dataset
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83 1 0.29% household power consumption dataset
84 1 0.29% household site:archive.ics.uci.edu/ml
85 1 0.29% http://archive.ics.uci.edu/ml/
86 1 0.29% https://archive.ics.uci.edu/ml/datasets.htmlformat=mat
87 1 0.29% https://archive.ics.uci.edu/ml/datasets.htmlsort=nameup
88 1 0.29% https://archive.ics.uci.edu/ml/datasets/3d road network (north jutland denmark)
89 1 0.29% https://archive.ics.uci.edu/ml/datasets/annealing
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91 1 0.29% https://archive.ics.uci.edu/ml/datasets/arrhythmia
92 1 0.29% https://archive.ics.uci.edu/ml/datasets/balloons
93 1 0.29% https://archive.ics.uci.edu/ml/datasets/banknote authentication
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96 1 0.29% https://archive.ics.uci.edu/ml/datasets/concrete compressive strength
97 1 0.29% https://archive.ics.uci.edu/ml/datasets/congressional voting records
98 1 0.29% https://archive.ics.uci.edu/ml/datasets/credit approval
99 1 0.29% https://archive.ics.uci.edu/ml/datasets/daily and sports activities
100 1 0.29% https://archive.ics.uci.edu/ml/datasets/detect malacious executable%28antivirus%29

Top 2 of 2 Total Usernames
# Hits Files KBytes Visits Username
1 78 0.00% 78 0.00% 4 0.00% 15 0.01% None
2 8 0.00% 8 0.00% 0 0.00% 8 0.00% ads

Top 100 of 7680 Total User Agents
# Hits User Agent
1 993432 19.96% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
2 400670 8.05% MobileSafari/604.1 CFNetwork/976 Darwin/18.2.0
3 164266 3.30% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
4 161963 3.25% Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)
5 126230 2.54% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT)
6 116791 2.35% Safari/14606.3.4 CFNetwork/976 Darwin/18.2.0 (x86_64)
7 113739 2.29% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.81 Safari/537.36
8 101765 2.04% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
9 99929 2.01% 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
10 93569 1.88% Mozilla/5.0 (compatible; SemrushBot/3~bl; +http://www.semrush.com/bot.html)
11 86899 1.75% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:65.0) Gecko/20100101 Firefox/65.0
12 79549 1.60% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:64.0) Gecko/20100101 Firefox/64.0
13 74936 1.51% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
14 69330 1.39% Python-urllib/3.6
15 66821 1.34% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.2 Safari/605.1.15
16 62063 1.25% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:65.0) Gecko/20100101 Firefox/65.0
17 60671 1.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
18 51222 1.03% Mozilla/5.0 (iPhone; CPU iPhone OS 12_1_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148
19 49523 1.00% Apache-HttpClient/4.5.5 (Java/1.8.0_171)
20 48975 0.98% Python-urllib/3.7
21 44094 0.89% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
22 37438 0.75% MobileSafari/604.1 CFNetwork/975.0.3 Darwin/18.2.0
23 32781 0.66% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
24 30839 0.62% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
25 29331 0.59% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:64.0) Gecko/20100101 Firefox/64.0
26 27085 0.54% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 OPR/57.0.
27 26611 0.53% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.81 Safari/537.36
28 25512 0.51% Safari/14606.1.36.1.9 CFNetwork/974.1 Darwin/18.0.0 (x86_64)
29 25312 0.51% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.96 Safari/537.36
30 25135 0.51% MobileSafari/604.1 CFNetwork/974.2.1 Darwin/18.0.0
31 24457 0.49% 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
32 24267 0.49% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
33 23563 0.47% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
34 22678 0.46% Safari/14606.4.5 CFNetwork/976 Darwin/18.2.0 (x86_64)
35 22451 0.45% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Safari/605.1.15
36 20631 0.41% MobileSafari/604.1 CFNetwork/902.2 Darwin/17.7.0
37 19947 0.40% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
38 18550 0.37% Safari/13606.4.5.3.1 CFNetwork/902.3.1 Darwin/17.7.0 (x86_64)
39 18399 0.37% Python-urllib/3.5
40 18136 0.36% Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:65.0) Gecko/20100101 Firefox/65.0
41 17247 0.35% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.81 Safari/537.36
42 17195 0.35% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36 Edge/18.1
43 17189 0.35% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
44 17157 0.34% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
45 17119 0.34% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
46 16463 0.33% PiplBot (+http://www.pipl.com/bot/)
47 14993 0.30% Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:64.0) Gecko/20100101 Firefox/64.0
48 14841 0.30% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
49 14491 0.29% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
50 14285 0.29% Mozilla/5.0 (iPhone; CPU iPhone OS 12_1_3 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148
51 13881 0.28% Chinmn
52 13657 0.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_3) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.3 Safari/605.1.15
53 13529 0.27% 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
54 13199 0.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/605.1.15 (KHTML, like Gecko)
55 12929 0.26% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:65.0) Gecko/20100101 Firefox/65.0
56 12860 0.26% Mozilla/5.0 (X11; Linux x86_64; rv:60.0) Gecko/20100101 Firefox/60.0
57 12500 0.25% Mozilla/5.0 (Linux; Android 6.0.1; Nexus 5X Build/MMB29P) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.96 Mobile S
58 12232 0.25% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.3 Safari/605.1.15
59 11918 0.24% Safari/14606.2.104.1.1 CFNetwork/975.0.3 Darwin/18.2.0 (x86_64)
60 11205 0.23% python-requests/2.20.0
61 11060 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
62 10925 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.1 Safari/605.1.15
63 10071 0.20% Safari%20%E6%B5%8F%E8%A7%88%E5%99%A8/14606.3.4 CFNetwork/976 Darwin/18.2.0 (x86_64)
64 9357 0.19% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36
65 9339 0.19% Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)
66 9042 0.18% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
67 8562 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.81 Safari/537.36
68 8549 0.17% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36
69 7838 0.16% Mozilla/5.0 (iPad; CPU OS 12_1_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148 Safari/60
70 7705 0.15% Safari/13605.3.8 CFNetwork/902.1 Darwin/17.7.0 (x86_64)
71 7686 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
72 7657 0.15% Safari/13606.3.4.1.4 CFNetwork/902.3.1 Darwin/17.7.0 (x86_64)
73 7483 0.15% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.81 Safari/537.36
74 7377 0.15% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/71.0.3578.98 Chrome/71.0.3578.98 Safar
75 7032 0.14% MobileSafari/604.1 CFNetwork/897.15 Darwin/17.5.0
76 7023 0.14% Mozilla/5.0 (Windows NT 6.3; Win64; x64; rv:64.0) Gecko/20100101 Firefox/64.0
77 7022 0.14% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.2 Safari/605.1.15
78 7008 0.14% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:64.0) Gecko/20100101 Firefox/64.0
79 6707 0.13% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36
80 6629 0.13% Mozilla/5.0 (X11; Linux x86_64; rv:65.0) Gecko/20100101 Firefox/65.0
81 6583 0.13% Mozilla/5.0 (iPhone; CPU iPhone OS 12_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148 Sa
82 6560 0.13% Python-urllib/2.7
83 6522 0.13% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:60.0) Gecko/20100101 Firefox/60.0
84 6363 0.13% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.3 Safari/605.1.15
85 6247 0.13% Mozilla/5.0 (Windows NT 6.3; Win64; x64; rv:65.0) Gecko/20100101 Firefox/65.0
86 6165 0.12% Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
87 6105 0.12% Safari/13606.4.5.3.1 CFNetwork/902.1 Darwin/17.7.0 (x86_64)
88 6101 0.12% rclone/v1.43.1
89 6074 0.12% Safari/12606.4.5.3.1 CFNetwork/811.11 Darwin/16.7.0 (x86_64)
90 5915 0.12% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:63.0) Gecko/20100101 Firefox/63.0
91 5914 0.12% MobileSafari/604.1 CFNetwork/901.1 Darwin/17.6.0
92 5746 0.12% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:64.0) Gecko/20100101 Firefox/64.0
93 5742 0.12% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.81 Safari/537.36
94 5712 0.11% Mozilla/5.0 (Windows NT 6.2; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36
95 5692 0.11% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:65.0) Gecko/20100101 Firefox/65.0
96 5545 0.11% Mozilla/5.0 (Windows NT 6.1; rv:64.0) Gecko/20100101 Firefox/64.0
97 5526 0.11% Mozilla/5.0 (Windows NT 6.1; rv:65.0) Gecko/20100101 Firefox/65.0
98 5250 0.11% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
99 5174 0.10% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:60.0) Gecko/20100101 Firefox/60.0
100 5161 0.10% 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

Usage by Country for February 2019

Top 30 of 204 Total Countries
# Hits Files KBytes Country
1 745558 14.98% 636092 16.38% 628752258 11.46% Commercial (com)
2 707023 14.21% 486487 12.52% 1149206403 20.95% Network (net)
3 648347 13.03% 585402 15.07% 904369595 16.49% India
4 449612 9.03% 326919 8.42% 250503899 4.57% United States
5 295368 5.93% 210931 5.43% 424851366 7.74% China
6 247577 4.97% 210484 5.42% 108488623 1.98% Educational (edu)
7 102260 2.05% 78717 2.03% 29467011 0.54% Canada
8 94992 1.91% 70037 1.80% 41696989 0.76% Germany
9 90198 1.81% 80570 2.07% 98914923 1.80% Indonesia
10 87329 1.75% 50417 1.30% 60036055 1.09% Japan
11 80445 1.62% 60559 1.56% 99753087 1.82% Italy
12 73354 1.47% 56894 1.46% 47386332 0.86% France
13 69909 1.40% 60673 1.56% 240528877 4.38% Unresolved/Unknown
14 68916 1.38% 54092 1.39% 70929614 1.29% Brazil
15 65753 1.32% 43114 1.11% 27551900 0.50% Turkey
16 52918 1.06% 38789 1.00% 32055536 0.58% Russian Federation
17 52324 1.05% 39478 1.02% 13699516 0.25% Great Britain (UK)
18 50339 1.01% 26634 0.69% 17807198 0.32% Korea, Republic of
19 50103 1.01% 43135 1.11% 24878673 0.45% Poland
20 48286 0.97% 38614 0.99% 50628197 0.92% Thailand
21 48036 0.97% 39322 1.01% 29423459 0.54% United Kingdom
22 47060 0.95% 39610 1.02% 72962302 1.33% Iran
23 41486 0.83% 39247 1.01% 23554923 0.43% Denmark
24 38704 0.78% 27647 0.71% 40775865 0.74% Singapore
25 38582 0.78% 28354 0.73% 98696271 1.80% Mexico
26 35130 0.71% 28578 0.74% 20839214 0.38% Spain
27 34028 0.68% 27387 0.71% 55505225 1.01% Netherlands
28 29917 0.60% 25181 0.65% 20588061 0.38% Colombia
29 27495 0.55% 22799 0.59% 6236907 0.11% Ireland
30 27004 0.54% 18789 0.48% 13522917 0.25% Australia

Generated by Webalizer Version 2.23