Index of /~vlew/datasets

[ICO]NameLast modifiedSizeDescription

[PARENTDIR]Parent Directory  -  
[   ]2003.por2015-10-04 00:38 62M 
[   ]2010.sav2015-10-04 00:38 2.2M 
[TXT]ARMD.txt2023-07-20 19:52 171  
[TXT]ARMD_pivoted.txt2023-07-20 22:09 335  
[   ]Area1.RData2015-10-04 00:38 14K 
[   ]Area2.RData2015-10-04 00:38 15K 
[   ]Area3.RData2015-10-04 00:38 15K 
[   ]Area4.RData2015-10-04 00:38 19K 
[DIR]BINARYEX/2015-10-04 00:38 -  
[DIR]BINARYEX2/2015-10-04 00:38 -  
[TXT]BMI_MALE.csv2015-10-04 00:38 52K 
[TXT]Business1000.csv2018-04-30 20:15 9.8K 
[TXT]CA_house_prices.csv2015-10-04 00:38 8.2K 
[   ]CHIHOU.RData2021-04-30 10:53 4.4K 
[TXT]Chicago_Public_Schools_-_Progress_Report_Cards__2011-2012_.csv2015-10-04 00:38 349K 
[TXT]Cholera.csv2015-10-04 00:38 11K 
[TXT]CollegeWest.txt2023-06-22 01:27 20K 
[   ]Crime.db2022-05-20 21:37 631M 
[TXT]DISNEY.csv2023-05-05 09:24 73K 
[   ]DataSift-49de7967b29ac130ab49248db140d634-1389311635.json2021-04-15 20:52 29K 
[   ]DataSift.json2015-10-04 00:38 29K 
[TXT]Deaths only.csv2015-10-04 00:38 10M 
[   ]DebTrivedi.rda2015-10-04 00:38 413K 
[   ]DroneWarsData.xlsx2022-02-26 13:12 2.3M 
[   ]EX2a.dat2015-10-04 00:38 434  
[   ]EmployeeCompensation.sas7bdat2017-07-01 13:07 33M 
[   ]ExecComp.zip2015-10-04 00:38 679K 
[TXT]FRB_H10.csv2015-10-04 00:38 13K 
[TXT]FatalitiesFY10.csv2015-10-04 00:38 221K 
[TXT]FatalitiesFY12.csv2015-10-04 00:38 174K 
[TXT]FieldGoals2003to2006.csv2015-10-04 00:38 3.7K 
[   ]GSS2012.sav2015-10-04 00:38 4.4M 
[   ]HW41.RData2015-10-04 00:38 2.0K 
[   ]HW42.RData2015-10-04 00:38 1.8K 
[   ]HoustonCrime.Rdata2015-10-04 00:38 4.4M 
[TXT]JANFLIGHTS.csv2015-10-12 20:15 27M 
[TXT]KOBEA1.txt2017-05-01 16:04 930K 
[TXT]LASDAUG.html2015-11-20 22:20 22M 
[TXT]LASDDEC.html2015-11-20 22:23 21M 
[TXT]LAinspect.html2015-11-20 22:18 9.3M 
[   ]Lesson2.RData2017-05-01 12:42 18K 
[   ]Los_Angeles_City_Zip_Codes.geojson2022-09-24 02:58 7.3M 
[   ]MROZ.dta2015-10-04 00:38 67K 
[   ]Makefile2015-10-04 00:38 8.9K 
[TXT]McDonaldsG.html2015-11-20 19:19 11M 
[   ]Murder2.kml2015-10-04 00:38 119K 
[TXT]NBA_TEAMS.tsv2022-04-18 23:44 2.5K 
[TXT]ND.csv2018-04-13 20:36 51K 
[TXT]NY.csv2020-04-21 23:51 240K 
[TXT]NYPD2016.csv2016-04-20 13:19 9.0M 
[TXT]OH_house_prices.csv2015-10-04 00:38 45K 
[   ]OscarData.xls2015-10-04 00:38 276K 
[   ]PAC.RData2015-10-04 00:38 293K 
[TXT]PAYPAL.csv2020-07-06 17:08 19K 
[   ]PROBLEMSET2R.R2015-10-04 00:38 1.0K 
[TXT]Prestige.txt2015-10-04 00:38 6.4K 
[   ]RDplotfor141.R2015-10-04 00:38 3.9K 
[   ]README-universityos2015-10-04 00:38 2.6K 
[   ]RPI - question value, weighting, and definition.xlsx2015-10-04 00:38 13K 
[TXT]Rossi.txt2015-10-04 00:38 104K 
[   ]SBUX.xlsx2022-04-09 17:17 3.8M 
[TXT]SD.csv2020-04-22 12:23 220K 
[TXT]SF.csv2018-04-13 20:40 71K 
[TXT]STOCKS.csv2015-10-04 00:38 14K 
[TXT]SpotifyFeatures.csv2019-10-19 19:54 32M 
[TXT]States.txt2015-10-04 00:38 1.0K 
[TXT]Suriname.csv2015-10-04 00:38 495K 
[TXT]TSBURGERS.csv2015-10-04 00:38 20K 
[   ]UCLA2018.RData2022-04-09 19:42 1.0M 
[   ]UCLA2019.RData2022-04-09 19:43 963K 
[TXT]UCLAtweets1.csv2015-10-04 00:38 307K 
[TXT]UCLAtweets2.csv2015-10-04 00:38 315K 
[   ]US.RData2015-10-04 00:38 1.1K 
[TXT]UnitedNations.txt2015-10-04 00:38 22K 
[TXT]ablation.csv2015-10-04 00:38 116K 
[   ]abort.dat2015-10-04 00:38 1.2K 
[TXT]actors1.csv2015-10-04 00:38 30K 
[TXT]actors1B.csv2015-10-04 00:38 11K 
[TXT]actors2.csv2015-10-04 00:38 3.5K 
[TXT]actors3.csv2015-10-04 00:38 30K 
[TXT]admin10.csv2015-10-04 00:38 142K 
[TXT]admin11.csv2015-10-04 00:38 148K 
[   ]airport.dbf2015-10-04 00:38 1.8M 
[   ]ajssmall.dat2015-10-04 00:38 3.7K 
[   ]alltime.RData2015-10-04 00:38 245K 
[   ]alltuition.RData2015-10-04 00:38 105K 
[TXT]ames_small.csv2024-04-03 05:53 22K 
[   ]anes00cl.RData2015-10-04 00:38 18K 
[   ]aq.RData2015-10-04 00:38 9.3K 
[   ]asian.dta2015-10-04 00:38 4.3K 
[TXT]asianDeaths.csv2022-02-18 01:29 2.7M 
[TXT]augustmovies.csv2015-10-04 00:38 166  
[TXT]bom_imdb.csv2015-10-04 00:38 34K 
[TXT]boxesofbooks.csv2015-10-04 00:38 183  
[TXT]bpstudy.txt2015-10-04 00:38 11K 
[TXT]burgers.csv2015-10-05 12:32 147K 
[TXT]caHospital.csv2016-05-14 09:07 55K 
[   ]ca_jul.RData2015-10-04 00:38 17K 
[   ]candy.RData2015-10-04 00:38 5.5K 
[   ]cars.rda2015-10-04 00:38 6.9K 
[   ]ccgeocoded.RData2015-10-04 00:38 32K 
[TXT]ccgeocoded.csv2015-10-04 00:38 91K 
[   ]cde12.dta2015-10-04 00:38 1.2M 
[   ]cde13.dta2015-10-04 00:38 4.7M 
[   ]cde14.dta2015-10-04 00:38 1.0M 
[   ]cde142.dta2015-10-04 00:38 972K 
[   ]childcare.sav2017-03-16 16:30 1.3K 
[TXT]china.csv2015-10-04 00:38 1.3K 
[TXT]chinaSTATS.csv2016-01-30 16:30 1.3K 
[TXT]coll2013.csv2015-10-17 23:35 203K 
[TXT]college.txt2015-10-04 00:38 11K 
[TXT]college2008.csv2015-10-04 00:38 321K 
[TXT]collegebb.csv2015-10-04 00:38 4.5M 
[TXT]colleges.csv2015-10-04 00:38 5.0K 
[TXT]colleges.txt2015-10-04 00:38 622  
[TXT]contrib1.csv2015-10-04 00:38 352K 
[TXT]contrib2.csv2015-10-04 00:38 345K 
[TXT]countries.csv2015-10-04 00:38 7.3K 
[TXT]countrystats.csv2015-10-04 00:38 4.6K 
[   ]cpi.RData2015-10-04 00:38 2.6K 
[   ]cpi_cities2022-04-18 22:57 831  
[TXT]cust09.csv2015-10-04 00:38 149K 
[TXT]cust10.csv2015-10-04 00:38 140K 
[   ]database.sqlite2016-10-06 03:11 4.8M 
[TXT]dataread3.txt2015-10-04 00:38 2.2K 
[TXT]dataread5.txt2015-10-04 00:38 1.8K 
[   ]depressionbmi.sas7bdat2015-10-04 00:38 3.8M 
[TXT]diamonds.csv2023-05-11 18:28 2.3M 
[TXT]die_for_you.txt2023-05-16 16:07 2.1K 
[   ]divorce3.dta2015-10-04 00:38 786K 
[   ]dogs.RData2016-04-22 20:02 7.3K 
[   ]duncan.dat2015-10-04 00:38 2.1K 
[   ]ex217.R2015-10-04 00:38 929  
[TXT]example1.txt2015-10-04 00:38 2.5K 
[   ]fat.dat2015-10-04 00:38 37K 
[TXT]fatal12.csv2015-10-04 00:38 376K 
[TXT]fifa100.csv2015-10-04 00:38 9.4K 
[DIR]figure/2015-10-04 00:38 -  
[TXT]fish.csv2015-10-04 00:38 524K 
[TXT]fixedcoll.txt2015-10-04 00:38 381  
[TXT]flights.csv2015-10-04 00:38 441K 
[   ]florida2000.dat2015-10-04 00:38 4.1K 
[TXT]foreign.csv2015-10-04 00:38 488  
[TXT]fortune1000.csv2015-10-04 00:38 135K 
[   ]gdp.RData2015-10-04 00:38 4.1K 
[TXT]gettysburg.txt2015-10-04 00:38 1.4K 
[   ]grad08.dbf2015-10-04 00:38 367K 
[TXT]grades.csv2015-10-04 00:38 4.7K 
[TXT]grades1.txt2015-10-04 00:38 1.3K 
[TXT]grades2.txt2015-10-04 00:38 1.3K 
[TXT]headless.txt2015-10-04 00:38 577  
[   ]health.dta2015-10-04 00:38 245K 
[TXT]heights.csv2015-10-04 00:38 1.3K 
[   ]hhs1.RData2015-10-04 00:38 182K 
[   ]hhs2.RData2015-10-04 00:38 372K 
[   ]hiucpay10.RData2015-10-04 00:38 126K 
[   ]hiucpay2014.RData2016-04-02 11:52 8.9K 
[TXT]holten.csv2023-12-19 18:24 25K 
[   ]homicide.Rdata2015-10-04 00:38 196K 
[TXT]homsui.csv2015-10-04 00:38 2.1K 
[TXT]imdb.txt2015-10-04 00:38 11K 
[   ]imdb250.RData2015-10-04 00:38 6.4K 
[   ]immonly.xpt2015-10-04 00:38 154K 
[TXT]in_n_out.csv2015-10-04 00:38 16K 
[TXT]individuals.csv2015-10-04 00:38 1.3M 
[   ]infant.RData2015-10-04 00:38 4.3K 
[TXT]innoutlocs.txt2015-10-04 00:38 19K 
[TXT]inst_char.csv2015-10-04 00:38 2.8M 
[   ]ipaddresses.RData2015-10-04 00:38 24K 
[   ]iraq.RData2015-10-04 00:38 272K 
[TXT]job.csv2015-10-04 00:38 1.4K 
[TXT]julymovies.csv2015-10-04 00:38 313  
[   ]junk.RData2015-10-04 00:38 3.9K 
[TXT]junk.html2015-10-04 00:38 30K 
[TXT]lacountyraingauges2.csv2015-10-04 00:38 15K 
[TXT]lahp.csv2015-10-04 00:38 37K 
[   ]language.dat2015-10-04 00:38 217  
[   ]lareal.RData2015-10-04 00:38 316K 
[TXT]leaflet.html2015-10-13 23:30 7.9M 
[TXT]lesson1.html2015-10-04 00:38 2.9M 
[TXT]lesson1forstudents.html2015-10-04 00:38 2.9M 
[   ]loans.RData2016-04-20 02:02 257K 
[   ]longChina.RData2016-01-30 23:36 97K 
[   ]lsat.dat2015-10-04 00:38 197  
[TXT]lunatics.csv2015-10-04 00:38 449  
[IMG]maxtemp3.gif2015-10-04 00:38 5.3K 
[TXT]medical_marijuana_collective.csv2017-05-13 21:19 50K 
[TXT]model_data.csv2017-11-20 12:42 3.5M 
[TXT]movie2010.csv2015-10-04 00:38 4.9K 
[TXT]movies.csv2018-04-16 22:50 5.7M 
[   ]movies1.RData2017-05-02 11:34 100K 
[   ]movies2010.RData2015-10-04 00:38 7.1K 
[   ]moviesg.RData2015-10-04 00:38 20K 
[TXT]moviesgraded3.csv2015-10-04 00:38 23K 
[   ]nadal_400_items[raw output].xls2015-10-04 00:38 190K 
[   ]nes96.dat2015-10-04 00:38 90K 
[TXT]nes96cod.txt2015-10-04 00:38 4.2K 
[   ]nes96r.dat2015-10-04 00:38 23K 
[TXT]offcampus.csv2016-04-16 15:39 1.3M 
[TXT]oring.csv2015-10-04 00:38 282  
[   ]osteo.dat2015-10-04 00:38 2.8K 
[DIR]parks/2015-10-04 00:38 -  
[   ]pcaexample.rda2015-10-04 00:38 1.5K 
[   ]physedc2006.sav2015-10-04 00:38 449K 
[TXT]playboy.csv2015-10-19 19:00 22K 
[TXT]playbyplay20120510040.txt2015-10-04 00:38 29M 
[TXT]prof10.csv2015-10-04 00:38 200K 
[TXT]prof11.csv2015-10-04 00:38 188K 
[   ]provinces.RData2016-01-31 04:11 15M 
[   ]pubschls.dta2015-10-04 00:38 2.6M 
[TXT]puffin.txt2015-10-04 00:38 626  
[   ]raceprofiling.RData2015-10-04 00:38 46K 
[TXT]recalls.csv2016-04-21 23:41 196K 
[TXT]redfin.csv2015-10-04 00:38 49K 
[TXT]redfinex.csv2015-10-04 00:38 49K 
[TXT]reviews1000.csv2018-04-30 20:15 935K 
[TXT]rice.csv2015-10-04 00:38 6.1K 
[TXT]roster.csv2015-10-04 00:38 8.5K 
[   ]rs500.RData2015-10-04 00:38 12K 
[   ]sat1.dta2015-10-04 00:38 171K 
[TXT]schools.csv2015-10-04 00:38 2.7K 
[TXT]sexdiscriminationsubset.csv2015-10-04 00:38 526K 
[   ]sflocs.RData2015-10-04 00:38 75K 
[   ]sflocs.json2015-10-04 00:38 394K 
[TXT]sor.csv2015-10-04 00:38 6.3M 
[TXT]sparrows.csv2015-10-04 00:38 1.3K 
[   ]spending1218.RData2018-04-22 04:05 55K 
[   ]spssSTUFF.zip2015-11-14 23:04 1.8M 
[   ]star2010.RData2015-10-04 00:38 1.9M 
[TXT]star2010.csv2015-10-04 00:38 19M 
[DIR]stat102a/2015-10-04 00:38 -  
[DIR]stat140SL/2015-10-04 00:38 -  
[TXT]state_covid_2020.csv2021-04-20 11:25 13K 
[TXT]state_pop.csv2023-05-11 18:39 2.0K 
[TXT]statex.csv2015-10-04 00:38 3.1M 
[   ]statusc2006.sav2015-10-04 00:38 258K 
[TXT]sthom.csv2015-10-04 00:38 753  
[TXT]sub_3456.csv2017-11-20 12:42 35M 
[   ]suicide01.Rdata2015-10-04 00:38 278K 
[TXT]timestampex.csv2015-10-04 00:38 42K 
[TXT]timex.txt2015-10-04 00:38 1.2M 
[TXT]tsBURGERS2.csv2015-10-04 00:38 84K 
[TXT]tweets_01-08-2021.csv2022-05-03 08:40 11M 
[IMG]twohistograms.jpg2015-10-04 00:38 11K 
[IMG]twohistograms.png2015-10-04 00:38 8.3K 
[TXT]txso.csv2015-10-04 00:38 202K 
[   ]ucpay.zip2015-11-14 22:59 17M 
[TXT]ucpay1.csv2015-10-04 00:38 1.9M 
[TXT]ucpay2.csv2015-10-04 00:38 1.4M 
[   ]ucpay2016.RData2021-04-08 09:15 4.9M 
[   ]ucpay2017.RData2021-04-08 09:16 1.0M 
[   ]uctuition.RData2015-10-04 00:38 612  
[   ]usair.dat2015-10-04 00:38 1.7K 
[TXT]useq.csv2015-10-04 00:38 207K 
[TXT]volcanoes.csv2015-10-04 00:38 33K 
[TXT]wage1000.txt2015-10-04 00:38 19K 
[TXT]walmart.csv2015-10-04 00:38 602K 
[   ]walmart.xls2015-10-04 00:38 689K 
[   ]walmart_2018.xlsx2021-04-10 20:03 526K 
[   ]water2013.RData2017-04-18 21:56 46K 
[TXT]whatif.csv2015-10-04 00:38 518  
[TXT]wine.csv2015-10-04 00:38 48K 
[TXT]wineries.csv2015-10-04 00:38 10K 
[TXT]winery2015.csv2015-10-31 19:03 68K 
[TXT]writingreport.html2015-10-04 00:38 84K 
[   ]x2.RData2015-10-04 00:38 1.5K 
[TXT]yelp3.csv2018-04-13 21:18 61K 
[TXT]zipcodedata.csv2019-07-28 02:47 3.9M 

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