Index of /~vlew/datasets

	Name	Last modified	Size	Description
	Parent Directory		-
	BINARYEX/	2015-10-04 00:38	-
	BINARYEX2/	2015-10-04 00:38	-
	figure/	2015-10-04 00:38	-
	parks/	2015-10-04 00:38	-
	stat102a/	2015-10-04 00:38	-
	stat140SL/	2015-10-04 00:38	-
	bp.csv	2025-03-17 21:28	97
	augustmovies.csv	2015-10-04 00:38	166
	ARMD.txt	2023-07-20 19:52	171
	boxesofbooks.csv	2015-10-04 00:38	183
	lsat.dat	2015-10-04 00:38	197
	language.dat	2015-10-04 00:38	217
	oring.csv	2015-10-04 00:38	282
	julymovies.csv	2015-10-04 00:38	313
	ARMD_pivoted.txt	2023-07-20 22:09	335
	fixedcoll.txt	2015-10-04 00:38	381
	EX2a.dat	2015-10-04 00:38	434
	lunatics.csv	2015-10-04 00:38	449
	foreign.csv	2015-10-04 00:38	488
	whatif.csv	2015-10-04 00:38	518
	headless.txt	2015-10-04 00:38	577
	uctuition.RData	2015-10-04 00:38	612
	colleges.txt	2015-10-04 00:38	622
	puffin.txt	2015-10-04 00:38	626
	sthom.csv	2015-10-04 00:38	753
	cpi_cities	2022-04-18 22:57	831
	ex217.R	2015-10-04 00:38	929
	States.txt	2015-10-04 00:38	1.0K
	PROBLEMSET2R.R	2015-10-04 00:38	1.0K
	US.RData	2015-10-04 00:38	1.1K
	abort.dat	2015-10-04 00:38	1.2K
	chinaSTATS.csv	2016-01-30 16:30	1.3K
	sparrows.csv	2015-10-04 00:38	1.3K
	childcare.sav	2017-03-16 16:30	1.3K
	grades2.txt	2015-10-04 00:38	1.3K
	grades1.txt	2015-10-04 00:38	1.3K
	heights.csv	2015-10-04 00:38	1.3K
	china.csv	2015-10-04 00:38	1.3K
	job.csv	2015-10-04 00:38	1.4K
	gettysburg.txt	2015-10-04 00:38	1.4K
	pcaexample.rda	2015-10-04 00:38	1.5K
	x2.RData	2015-10-04 00:38	1.5K
	usair.dat	2015-10-04 00:38	1.7K
	HW42.RData	2015-10-04 00:38	1.8K
	dataread5.txt	2015-10-04 00:38	1.8K
	HW41.RData	2015-10-04 00:38	2.0K
	state_pop.csv	2023-05-11 18:39	2.0K
	die_for_you.txt	2023-05-16 16:07	2.1K
	homsui.csv	2015-10-04 00:38	2.1K
	duncan.dat	2015-10-04 00:38	2.1K
	dataread3.txt	2015-10-04 00:38	2.2K
	NBA_TEAMS.tsv	2022-04-18 23:44	2.5K
	example1.txt	2015-10-04 00:38	2.5K
	README-universityos	2015-10-04 00:38	2.6K
	cpi.RData	2015-10-04 00:38	2.6K
	schools.csv	2015-10-04 00:38	2.7K
	osteo.dat	2015-10-04 00:38	2.8K
	distributors_1995_2025.csv	2025-05-31 16:16	3.2K
	actors2.csv	2015-10-04 00:38	3.5K
	iris.csv	2024-05-24 15:45	3.6K
	FieldGoals2003to2006.csv	2015-10-04 00:38	3.7K
	ajssmall.dat	2015-10-04 00:38	3.7K
	junk.RData	2015-10-04 00:38	3.9K
	RDplotfor141.R	2015-10-04 00:38	3.9K
	gdp.RData	2015-10-04 00:38	4.1K
	florida2000.dat	2015-10-04 00:38	4.1K
	nes96cod.txt	2015-10-04 00:38	4.2K
	infant.RData	2015-10-04 00:38	4.3K
	asian.dta	2015-10-04 00:38	4.3K
	CHIHOU.RData	2021-04-30 10:53	4.4K
	countrystats.csv	2015-10-04 00:38	4.6K
	grades.csv	2015-10-04 00:38	4.7K
	movie2010.csv	2015-10-04 00:38	4.9K
	colleges.csv	2015-10-04 00:38	5.0K
	maxtemp3.gif	2015-10-04 00:38	5.3K
	candy.RData	2015-10-04 00:38	5.5K
	rice.csv	2015-10-04 00:38	6.1K
	Prestige.txt	2015-10-04 00:38	6.4K
	imdb250.RData	2015-10-04 00:38	6.4K
	cars.rda	2015-10-04 00:38	6.9K
	movies2010.RData	2015-10-04 00:38	7.1K
	dogs.RData	2016-04-22 20:02	7.3K
	countries.csv	2015-10-04 00:38	7.3K
	CA_house_prices.csv	2015-10-04 00:38	8.2K
	twohistograms.png	2015-10-04 00:38	8.3K
	roster.csv	2015-10-04 00:38	8.5K
	hiucpay2014.RData	2016-04-02 11:52	8.9K
	Makefile	2015-10-04 00:38	8.9K
	aq.RData	2015-10-04 00:38	9.3K
	fifa100.csv	2015-10-04 00:38	9.4K
	Business1000.csv	2018-04-30 20:15	9.8K
	wineries.csv	2015-10-04 00:38	10K
	bpstudy.txt	2015-10-04 00:38	11K
	actors1B.csv	2015-10-04 00:38	11K
	imdb.txt	2015-10-04 00:38	11K
	Cholera.csv	2015-10-04 00:38	11K
	twohistograms.jpg	2015-10-04 00:38	11K
	college.txt	2015-10-04 00:38	11K
	rs500.RData	2015-10-04 00:38	12K
	state_covid_2020.csv	2021-04-20 11:25	13K
	RPI - question value, weighting, and definition.xlsx	2015-10-04 00:38	13K
	FRB_H10.csv	2015-10-04 00:38	13K
	Area1.RData	2015-10-04 00:38	14K
	STOCKS.csv	2015-10-04 00:38	14K
	Area2.RData	2015-10-04 00:38	15K
	Area3.RData	2015-10-04 00:38	15K
	lacountyraingauges2.csv	2015-10-04 00:38	15K
	in_n_out.csv	2015-10-04 00:38	16K
	ca_jul.RData	2015-10-04 00:38	17K
	Lesson2.RData	2017-05-01 12:42	18K
	anes00cl.RData	2015-10-04 00:38	18K
	wage1000.txt	2015-10-04 00:38	19K
	innoutlocs.txt	2015-10-04 00:38	19K
	Area4.RData	2015-10-04 00:38	19K
	PAYPAL.csv	2020-07-06 17:08	19K
	TSBURGERS.csv	2015-10-04 00:38	20K
	moviesg.RData	2015-10-04 00:38	20K
	CollegeWest.txt	2023-06-22 01:27	20K
	ames_small.csv	2024-04-03 05:53	22K
	UnitedNations.txt	2015-10-04 00:38	22K
	playboy.csv	2015-10-19 19:00	22K
	moviesgraded3.csv	2015-10-04 00:38	23K
	nes96r.dat	2015-10-04 00:38	23K
	ipaddresses.RData	2015-10-04 00:38	24K
	holten.csv	2023-12-19 18:24	25K
	apples.csv	2025-05-07 01:20	26K
	DataSift-49de7967b29ac130ab49248db140d634-1389311635.json	2021-04-15 20:52	29K
	DataSift.json	2015-10-04 00:38	29K
	actors1.csv	2015-10-04 00:38	30K
	actors3.csv	2015-10-04 00:38	30K
	junk.html	2015-10-04 00:38	30K
	ccgeocoded.RData	2015-10-04 00:38	32K
	volcanoes.csv	2015-10-04 00:38	33K
	bom_imdb.csv	2015-10-04 00:38	34K
	fat.dat	2015-10-04 00:38	37K
	lahp.csv	2015-10-04 00:38	37K
	timestampex.csv	2015-10-04 00:38	42K
	OH_house_prices.csv	2015-10-04 00:38	45K
	raceprofiling.RData	2015-10-04 00:38	46K
	water2013.RData	2017-04-18 21:56	46K
	wine.csv	2015-10-04 00:38	48K
	redfinex.csv	2015-10-04 00:38	49K
	redfin.csv	2015-10-04 00:38	49K
	medical_marijuana_collective.csv	2017-05-13 21:19	50K
	ND.csv	2018-04-13 20:36	51K
	BMI_MALE.csv	2015-10-04 00:38	52K
	spending1218.RData	2018-04-22 04:05	55K
	caHospital.csv	2016-05-14 09:07	55K
	yelp3.csv	2018-04-13 21:18	61K
	SBUX10.csv	2025-05-08 02:06	63K
	AAPL10.csv	2025-05-07 19:34	67K
	MROZ.dta	2015-10-04 00:38	67K
	winery2015.csv	2015-10-31 19:03	68K
	SF.csv	2018-04-13 20:40	71K
	DISNEY.csv	2023-05-05 09:24	73K
	sflocs.RData	2015-10-04 00:38	75K
	writingreport.html	2015-10-04 00:38	84K
	tsBURGERS2.csv	2015-10-04 00:38	84K
	nes96.dat	2015-10-04 00:38	90K
	AAPL.csv	2024-12-05 22:40	91K
	ccgeocoded.csv	2015-10-04 00:38	91K
	longChina.RData	2016-01-30 23:36	97K
	movies1.RData	2017-05-02 11:34	100K
	Rossi.txt	2015-10-04 00:38	104K
	alltuition.RData	2015-10-04 00:38	105K
	ablation.csv	2015-10-04 00:38	116K
	Murder2.kml	2015-10-04 00:38	119K
	hiucpay10.RData	2015-10-04 00:38	126K
	AAPL10p.csv	2025-05-07 16:02	133K
	fortune1000.csv	2015-10-04 00:38	135K
	cust10.csv	2015-10-04 00:38	140K
	admin10.csv	2015-10-04 00:38	142K
	burgers.csv	2015-10-05 12:32	147K
	admin11.csv	2015-10-04 00:38	148K
	cust09.csv	2015-10-04 00:38	149K
	immonly.xpt	2015-10-04 00:38	154K
	sat1.dta	2015-10-04 00:38	171K
	FatalitiesFY12.csv	2015-10-04 00:38	174K
	hhs1.RData	2015-10-04 00:38	182K
	prof11.csv	2015-10-04 00:38	188K
	nadal_400_items[raw output].xls	2015-10-04 00:38	190K
	homicide.Rdata	2015-10-04 00:38	196K
	recalls.csv	2016-04-21 23:41	196K
	prof10.csv	2015-10-04 00:38	200K
	txso.csv	2015-10-04 00:38	202K
	coll2013.csv	2015-10-17 23:35	203K
	useq.csv	2015-10-04 00:38	207K
	SD.csv	2020-04-22 12:23	220K
	FatalitiesFY10.csv	2015-10-04 00:38	221K
	NY.csv	2020-04-21 23:51	240K
	health.dta	2015-10-04 00:38	245K
	alltime.RData	2015-10-04 00:38	245K
	loans.RData	2016-04-20 02:02	257K
	statusc2006.sav	2015-10-04 00:38	258K
	iraq.RData	2015-10-04 00:38	272K
	OscarData.xls	2015-10-04 00:38	276K
	suicide01.Rdata	2015-10-04 00:38	278K
	PAC.RData	2015-10-04 00:38	293K
	UCLAtweets1.csv	2015-10-04 00:38	307K
	UCLAtweets2.csv	2015-10-04 00:38	315K
	lareal.RData	2015-10-04 00:38	316K
	college2008.csv	2015-10-04 00:38	321K
	contrib2.csv	2015-10-04 00:38	345K
	Chicago_Public_Schools_-_Progress_Report_Cards__2011-2012_.csv	2015-10-04 00:38	349K
	contrib1.csv	2015-10-04 00:38	352K
	grad08.dbf	2015-10-04 00:38	367K
	hhs2.RData	2015-10-04 00:38	372K
	fatal12.csv	2015-10-04 00:38	376K
	sflocs.json	2015-10-04 00:38	394K
	DebTrivedi.rda	2015-10-04 00:38	413K
	flights.csv	2015-10-04 00:38	441K
	physedc2006.sav	2015-10-04 00:38	449K
	Suriname.csv	2015-10-04 00:38	495K
	fish.csv	2015-10-04 00:38	524K
	sexdiscriminationsubset.csv	2015-10-04 00:38	526K
	walmart_2018.xlsx	2021-04-10 20:03	526K
	walmart.csv	2015-10-04 00:38	602K
	ExecComp.zip	2015-10-04 00:38	679K
	walmart.xls	2015-10-04 00:38	689K
	divorce3.dta	2015-10-04 00:38	786K
	KOBEA1.txt	2017-05-01 16:04	930K
	reviews1000.csv	2018-04-30 20:15	935K
	UCLA2019.RData	2022-04-09 19:43	963K
	cde142.dta	2015-10-04 00:38	972K
	UCLA2018.RData	2022-04-09 19:42	1.0M
	cde14.dta	2015-10-04 00:38	1.0M
	ucpay2017.RData	2021-04-08 09:16	1.0M
	cde12.dta	2015-10-04 00:38	1.2M
	timex.txt	2015-10-04 00:38	1.2M
	offcampus.csv	2016-04-16 15:39	1.3M
	individuals.csv	2015-10-04 00:38	1.3M
	ucpay2.csv	2015-10-04 00:38	1.4M
	airport.dbf	2015-10-04 00:38	1.8M
	spssSTUFF.zip	2015-11-14 23:04	1.8M
	star2010.RData	2015-10-04 00:38	1.9M
	ucpay1.csv	2015-10-04 00:38	1.9M
	2010.sav	2015-10-04 00:38	2.2M
	DroneWarsData.xlsx	2022-02-26 13:12	2.3M
	diamonds.csv	2023-05-11 18:28	2.3M
	pubschls.dta	2015-10-04 00:38	2.6M
	asianDeaths.csv	2022-02-18 01:29	2.7M
	inst_char.csv	2015-10-04 00:38	2.8M
	lesson1.html	2015-10-04 00:38	2.9M
	lesson1forstudents.html	2015-10-04 00:38	2.9M
	statex.csv	2015-10-04 00:38	3.1M
	model_data.csv	2017-11-20 12:42	3.5M
	depressionbmi.sas7bdat	2015-10-04 00:38	3.8M
	SBUX.xlsx	2022-04-09 17:17	3.8M
	zipcodedata.csv	2019-07-28 02:47	3.9M
	HoustonCrime.Rdata	2015-10-04 00:38	4.4M
	GSS2012.sav	2015-10-04 00:38	4.4M
	collegebb.csv	2015-10-04 00:38	4.5M
	cde13.dta	2015-10-04 00:38	4.7M
	database.sqlite	2016-10-06 03:11	4.8M
	ucpay2016.RData	2021-04-08 09:15	4.9M
	movies.csv	2018-04-16 22:50	5.7M
	sor.csv	2015-10-04 00:38	6.3M
	Los_Angeles_City_Zip_Codes.geojson	2022-09-24 02:58	7.3M
	leaflet.html	2015-10-13 23:30	7.9M
	NYPD2016.csv	2016-04-20 13:19	9.0M
	LAinspect.html	2015-11-20 22:18	9.3M
	Deaths only.csv	2015-10-04 00:38	10M
	tweets_01-08-2021.csv	2022-05-03 08:40	11M
	McDonaldsG.html	2015-11-20 19:19	11M
	provinces.RData	2016-01-31 04:11	15M
	ucpay.zip	2015-11-14 22:59	17M
	star2010.csv	2015-10-04 00:38	19M
	LASDDEC.html	2015-11-20 22:23	21M
	LASDAUG.html	2015-11-20 22:20	22M
	JANFLIGHTS.csv	2015-10-12 20:15	27M
	playbyplay20120510040.txt	2015-10-04 00:38	29M
	SpotifyFeatures.csv	2019-10-19 19:54	32M
	EmployeeCompensation.sas7bdat	2017-07-01 13:07	33M
	sub_3456.csv	2017-11-20 12:42	35M
	2003.por	2015-10-04 00:38	62M
	Crime.db	2022-05-20 21:37	631M