Index of /introstats

[ICO]NameLast modifiedSizeDescription

[PARENTDIR]Parent Directory   -  
[TXT]New_York_bridges_201..>2017-10-11 11:40 2.2M 
[TXT]OKCupid_CatsDogs.csv 2017-10-11 11:40 959K 
[TXT]PVA.csv 2017-10-11 11:40 820K 
[TXT]Movies_06-15.csv 2017-10-11 11:40 656K 
[TXT]Titanic.csv 2017-10-11 11:40 269K 
[TXT]abalone.txt 2010-04-28 15:17 192K 
[TXT]Fuel_economy_2016.csv 2017-10-11 11:40 122K 
[TXT]Diamonds.csv 2017-10-11 11:40 82K 
[TXT]Cost_of_living_2016.csv2017-10-11 11:40 72K 
[TXT]Fish_diet.csv 2019-11-19 20:24 70K 
[TXT]Earnings.csv 2017-10-11 11:40 65K 
[TXT]NHANES.csv 2017-10-11 11:40 62K 
[TXT]Graduate_Earnings.csv 2017-10-11 11:40 59K 
[TXT]Juul.csv 2017-10-11 11:40 58K 
[TXT]Hopkins_Forest.csv 2017-10-11 11:40 56K 
[TXT]Igf.csv 2017-10-11 11:40 55K 
[TXT]Wealth_Redistributio..>2017-10-11 11:40 54K 
[TXT]Dirt_bikes_2014.csv 2017-10-11 11:40 53K 
[TXT]Real_Estate.csv 2017-10-11 11:04 40K 
[TXT]Magnet_schools.csv 2017-10-11 11:40 40K 
[TXT]Tsunamis_2016.csv 2017-10-11 11:40 39K 
[TXT]Student_survey.csv 2017-10-11 11:40 39K 
[TXT]Framingham.csv 2017-10-11 11:40 34K 
[TXT]Fingers_and_Heights.csv2017-10-11 11:40 34K 
[TXT]Saratoga_house_price..>2017-10-11 11:40 31K 
[TXT]CEO_Salary_2012.csv 2017-10-11 11:40 31K 
[TXT]Wisconsin_ACT_2015.csv 2017-10-11 11:40 31K 
[TXT]Gas_Prices_2016.csv 2017-10-11 11:40 30K 
[TXT]Igf13.csv 2017-10-11 11:40 29K 
[TXT]CPI_Worldwide.csv 2017-10-11 11:40 28K 
[TXT]CEO_Compensation_201..>2017-10-11 11:40 28K 
[TXT]Wind_speed.csv 2017-10-11 11:40 28K 
[TXT]Receivers_2015.csv 2017-10-11 11:40 28K 
[TXT]Heart_attack_stays.csv 2017-10-11 11:40 26K 
[TXT]Movie_profits.csv 2017-10-11 11:40 26K 
[TXT]forestfiresUCI.txt 2013-09-05 21:10 25K 
[TXT]Education_by_age.csv 2017-10-11 11:40 24K 
[TXT]Housing_prices.csv 2017-10-11 11:40 23K 
[TXT]HDI_2015.csv 2017-10-11 11:40 22K 
[TXT]Tompkins_county_brid..>2017-10-11 11:40 21K 
[TXT]Bodyfat.csv 2017-10-11 11:40 21K 
[TXT]Fitness_data.csv 2017-10-11 11:40 21K 
[TXT]olive.txt 2009-10-26 14:53 20K 
[TXT]Wisconsin_ACT_math.csv 2017-10-11 11:40 18K 
[TXT]Watch_the_Super_bowl..>2017-10-11 11:40 18K 
[TXT]Flights_on_time_2016..>2017-10-11 11:40 18K 
[TXT]Coasters_2015.csv 2017-10-11 11:40 15K 
[TXT]Population_Commute_T..>2017-10-11 11:40 15K 
[TXT]Cigarettes.csv 2017-10-11 11:40 15K 
[TXT]Craters.csv 2017-10-11 11:40 14K 
[TXT]Farmed_salmon.csv 2017-10-11 11:40 13K 
[TXT]Indy_500_2016.csv 2017-10-11 11:40 13K 
[TXT]Wind_power.csv 2017-10-11 11:40 12K 
[TXT]Tattoos.csv 2017-10-11 11:40 11K 
[TXT]Shoot_to_Score_2016.csv2017-10-11 11:40 11K 
[TXT]Babysamp_98.csv 2017-10-11 11:40 10K 
[TXT]Burger_King_items.csv 2017-10-11 11:40 9.5K 
[TXT]Twin_Births.csv 2019-09-04 11:38 9.3K 
[TXT]Tour_de_France_2016.csv2017-10-11 11:40 8.9K 
[TXT]Belmont_stakes_2015.csv2017-10-11 11:40 8.9K 
[TXT]Streams.csv 2017-10-11 11:40 8.5K 
[TXT]Kentucky_Derby_2016.csv2017-10-11 11:40 8.4K 
[TXT]Blood_Pressure.csv 2017-10-11 11:40 8.4K 
[TXT]Rock_concert_deaths.csv2017-10-11 11:40 8.4K 
[TXT]Oakland_Passengers_2..>2017-10-11 11:40 7.8K 
[TXT]Pizza_prices.csv 2017-10-11 11:40 7.4K 
[TXT]Pima_indians.csv 2017-10-11 11:40 7.3K 
[TXT]Couples.csv 2017-10-11 11:40 7.3K 
[TXT]Prices_and_Earnings.csv2017-10-11 11:40 7.2K 
[TXT]Hand_dexterity.csv 2017-10-11 11:40 6.8K 
[TXT]Weather_forecasts.csv 2017-10-11 11:40 6.8K 
[TXT]Car_origins.csv 2017-10-11 11:40 6.8K 
[TXT]Load_factors_2016.csv 2017-10-11 11:40 6.7K 
[TXT]Hotel_maids.csv 2017-10-11 11:40 6.1K 
[TXT]Fertility_and_life_e..>2017-10-11 11:40 6.1K 
[TXT]Baseball_salaries_20..>2017-10-11 11:40 5.9K 
[TXT]Dexterity.csv 2017-10-11 11:40 5.9K 
[TXT]Car_speeds.csv 2017-10-11 11:40 5.8K 
[TXT]Golf_drives_2015.csv 2017-10-11 11:40 5.3K 
[TXT]Hurricanes_2015.csv 2017-10-11 11:40 5.2K 
[TXT]Scottish_Hill_Races.csv2017-10-11 11:40 4.9K 
[TXT]fish.txt 2009-11-14 14:18 4.8K 
[TXT]Companies.csv 2017-10-11 11:40 4.7K 
[TXT]Full_moon.csv 2017-10-11 11:40 4.6K 
[TXT]Illiad_Injuries.csv 2017-10-11 11:40 4.5K 
[TXT]Cereals.csv 2017-10-11 11:40 4.5K 
[TXT]Montana_revisited.csv 2017-10-11 11:40 4.3K 
[TXT]Baseball_2016.csv 2017-10-11 11:40 4.3K 
[TXT]Fisher_s_Irises.csv 2017-10-11 11:40 4.2K 
[TXT]Archery.csv 2017-10-11 11:40 4.2K 
[TXT]Fuel_efficiency.csv 2017-10-11 11:40 4.1K 
[TXT]Eye_and_Hair_color.csv 2017-10-11 11:40 4.0K 
[TXT]Life_Expectancy.csv 2017-10-11 11:40 3.8K 
[TXT]Montana.csv 2017-10-11 11:40 3.8K 
[TXT]Shoe_Sizes.csv 2017-10-11 11:40 3.7K 
[TXT]Penguins.csv 2017-10-11 11:40 3.6K 
[TXT]Candy_bars_per_servi..>2017-10-11 11:40 3.3K 
[TXT]Movie_lengths_2010.csv 2017-10-11 11:40 3.3K 
[TXT]Slalom_times_2014.csv 2017-10-11 11:40 3.2K 
[TXT]Boomtowns_2015.csv 2017-10-11 11:40 3.1K 
[TXT]Credit_card_charges.csv2017-10-11 11:40 3.1K 
[TXT]Prisons_2014.csv 2017-10-11 11:40 3.0K 
[TXT]Swim_the_lake_2016.csv 2017-10-11 11:40 2.9K 
[TXT]Historical_Oil_Price..>2017-10-11 11:40 2.9K 
[TXT]Traffic_fatalities_2..>2017-10-11 11:40 2.9K 
[TXT]Super_Bowl_2016.csv 2017-10-11 11:40 2.8K 
[TXT]Illiad_weapons.csv 2017-10-11 11:40 2.8K 
[TXT]Cranberry_juice.csv 2017-10-11 11:40 2.7K 
[TXT]COL_2016.csv 2017-10-11 11:40 2.5K 
[TXT]Racial_steering.csv 2017-10-11 11:40 2.5K 
[TXT]Tablet_computers_201..>2017-10-11 11:40 2.5K 
[TXT]City_climate.csv 2017-10-11 11:40 2.5K 
[TXT]Neck_size.csv 2017-10-11 11:40 2.4K 
[TXT]Vineyards.csv 2017-10-11 11:40 2.4K 
[TXT]Global500_2014.csv 2017-10-11 11:40 2.3K 
[TXT]Wheelchair_Marathon_..>2017-10-11 11:40 2.3K 
[TXT]Seatbelts_2015.csv 2017-10-11 11:40 2.2K 
[TXT]Grades.csv 2017-10-11 11:40 2.1K 
[TXT]Passive_smoke.csv 2017-10-11 11:40 2.0K 
[TXT]Election_2000.csv 2017-10-11 11:40 1.9K 
[TXT]SAT_scores.csv 2017-10-11 11:40 1.9K 
[TXT]Adoptions.csv 2017-10-11 11:40 1.9K 
[TXT]Womens_Heptathlon_20..>2017-10-11 11:40 1.9K 
[TXT]Cars.csv 2017-10-11 11:04 1.9K 
[TXT]Attendance_2016.csv 2017-10-11 11:40 1.8K 
[TXT]Crowdedness.csv 2017-10-11 11:40 1.8K 
[TXT]Winter_Olympics_2014..>2017-10-11 11:40 1.7K 
[TXT]Used_Civics_2017.csv 2017-10-11 11:40 1.7K 
[TXT]Run_times.csv 2017-10-11 11:40 1.6K 
[TXT]MPG_2016.csv 2017-10-11 11:40 1.6K 
[TXT]Climate_change_2016.csv2017-10-11 11:40 1.5K 
[TXT]Doctors_and_life_exp..>2017-10-11 11:40 1.5K 
[TXT]Mouth_volume.csv 2017-10-11 11:40 1.5K 
[TXT]Old_Faithful.csv 2017-10-11 11:40 1.5K 
[TXT]Midterms.csv 2017-10-11 11:40 1.4K 
[TXT]Singers_by_parts.csv 2017-10-11 11:40 1.4K 
[TXT]Winter_Olympics_2010..>2017-10-11 11:40 1.3K 
[TXT]Sea_ice.csv 2017-10-11 11:40 1.2K 
[TXT]Nest_Egg_Index.csv 2017-10-11 11:40 1.2K 
[TXT]Income_and_housing.csv 2017-10-11 11:40 1.2K 
[TXT]Diet.csv 2017-10-11 11:40 1.2K 
[TXT]Population_growth_20..>2017-10-11 11:40 1.2K 
[TXT]Planets_more_data.csv 2017-10-11 11:40 1.1K 
[TXT]Fuel_economy_sample_..>2017-10-11 11:40 1.1K 
[TXT]Marriage_age_2015.csv 2017-10-11 11:40 1.1K 
[TXT]paintedturtle.txt 2016-09-18 12:24 1.1K 
[TXT]Nambe.csv 2017-10-11 11:40 1.1K 
[TXT]Minimum_Wage_Workers..>2017-10-11 11:40 1.0K 
[TXT]Wildfires_2015.csv 2017-10-11 11:40 1.0K 
[TXT]Tracking_hurricanes_..>2017-10-11 11:40 1.0K 
[TXT]Hard_water.csv 2017-10-11 11:40 1.0K 
[TXT]Mens_Weights.csv 2017-10-11 11:40 1.0K 
[TXT]Thrills_2013.csv 2017-10-11 11:40 929  
[TXT]USGDP_2016.csv 2017-10-11 11:40 910  
[TXT]Twins_by_Year_2014.csv 2017-10-11 11:04 856  
[TXT]NY_Marathon.csv 2017-10-11 11:40 852  
[TXT]TBill_rates_2016.csv 2017-10-11 11:40 832  
[TXT]Sales_and_profits.csv 2017-10-11 11:40 817  
[TXT]Summer_Olympics_2016..>2017-10-11 11:40 811  
[TXT]Marijuana_2015.csv 2017-10-11 11:40 808  
[TXT]Dow_Jones_2015.csv 2017-10-11 11:04 808  
[TXT]Math_scores_2013.csv 2017-10-11 11:40 788  
[TXT]Freshman_15.csv 2017-10-11 11:40 782  
[TXT]Stereograms.csv 2017-10-11 11:40 767  
[TXT]Egyptians2.csv 2019-11-15 13:32 763  
[TXT]Music_library.csv 2017-10-11 11:40 748  
[TXT]Hearing.csv 2017-10-11 11:40 733  
[TXT]Interest_rates_and_m..>2017-10-11 11:40 716  
[TXT]All_the_efficiency.csv 2017-10-11 11:40 706  
[TXT]Education_and_mortal..>2017-10-11 11:40 705  
[TXT]Nissan.csv 2017-10-11 11:40 687  
[TXT]Being_successful.csv 2017-10-11 11:40 682  
[TXT]Drug_use_2013.csv 2017-10-11 11:40 651  
[TXT]Tuition_2016.csv 2017-10-11 11:40 638  
[TXT]Michelson.csv 2017-10-11 11:40 634  
[TXT]Crocodile_lengths.csv 2017-10-11 11:40 626  
[TXT]Mothers_and_fathers_..>2017-10-11 11:40 625  
[TXT]Car_speeds_100.csv 2017-10-11 11:40 601  
[TXT]Tableware.csv 2017-10-11 11:40 585  
[TXT]Heights_and_weights.csv2017-10-11 11:40 582  
[TXT]Nightmares.csv 2017-10-11 11:40 533  
[TXT]waterpowertemp.txt 2012-10-24 13:29 514  
[TXT]Swimming_heats_Londo..>2017-10-11 11:40 513  
[TXT]Antidepressants.csv 2017-10-11 11:40 513  
[TXT]Major_hurricanes_201..>2017-10-11 11:40 506  
[TXT]Running_heats_London..>2017-10-11 11:40 485  
[TXT]Memory.csv 2017-10-11 11:40 476  
[TXT]IQ_Brain.csv 2017-10-11 11:40 469  
[TXT]Manatees_2015.csv 2017-10-11 11:04 455  
[TXT]Lottery_numbers.csv 2017-10-11 11:40 455  
[TXT]Obesity_and_exercise..>2017-10-11 11:40 450  
[TXT]Fuel_economy.csv 2017-10-11 11:40 436  
[TXT]Olympic_jumps_2016.csv 2017-10-11 11:04 430  
[TXT]Barbershop_music.csv 2017-10-11 11:40 422  
[TXT]Tendon_transfers.csv 2017-10-11 11:40 419  
[TXT]Acid_rain.csv 2017-10-11 11:40 415  
[TXT]Cups.csv 2017-10-11 11:40 412  
[TXT]Assets.csv 2017-10-11 11:40 402  
[TXT]Drivers_Licenses_201..>2017-10-11 11:40 400  
[TXT]Mothers_and_fathers_..>2017-10-11 11:40 391  
[TXT]Nashville.csv 2017-10-11 11:40 369  
[TXT]Nail_polish.csv 2017-10-11 11:40 360  
[TXT]Friday_the_13th_traf..>2017-10-11 11:40 355  
[TXT]Zodiac.csv 2017-10-11 11:40 351  
[TXT]Cholesterol_and_smok..>2017-10-11 11:40 337  
[TXT]Years_to_live_2016.csv 2017-10-11 11:40 333  
[TXT]E-mails.csv 2017-10-11 11:40 331  
[TXT]Weightlifting_2016.csv 2017-10-11 11:40 329  
[TXT]Smoking_2014.csv 2017-10-11 11:40 328  
[TXT]Industrial_experimen..>2017-10-11 11:40 324  
[TXT]Yogurt_flavors.csv 2017-10-11 11:40 323  
[TXT]Commuter_sample.csv 2017-10-11 11:40 312  
[TXT]Gestation.csv 2017-10-11 11:40 311  
[TXT]NYPD.csv 2017-10-11 11:40 310  
[TXT]Birth_order.csv 2017-10-11 11:40 302  
[TXT]Cloud_seeding.csv 2017-10-11 11:40 300  
[TXT]Sex_sells.csv 2017-10-11 11:40 298  
[TXT]Fuel_economy_and_cyl..>2017-10-11 11:40 294  
[TXT]Newspapers.csv 2017-10-11 11:40 285  
[TXT]Libertys_nose.csv 2017-10-11 11:40 280  
[TXT]Tobacco_and_alcohol.csv2017-10-11 11:04 278  
[TXT]Planets.csv 2017-10-11 11:40 274  
[   ]carbon.dat 2009-08-24 17:35 266  
[TXT]Crawling.csv 2017-10-11 11:40 264  
[TXT]Egyptians.csv 2017-10-11 11:40 261  
[TXT]Normal_temperature.csv 2017-10-11 11:40 256  
[TXT]Brain_size.csv 2017-10-11 11:40 255  
[TXT]Sugar_in_cereal.csv 2017-10-11 11:40 250  
[TXT]Wild_horses.csv 2017-10-11 11:40 248  
[TXT]Hurricane_frequencie..>2017-10-11 11:40 242  
[TXT]Flights_2016.csv 2017-10-11 11:40 239  
[TXT]Smoking_and_Pregnanc..>2017-10-11 11:04 236  
[TXT]Metals.txt 2009-11-30 13:50 235  
[TXT]Inflation_2016.csv 2017-10-11 11:40 233  
[TXT]Mazes_and_smells.csv 2017-10-11 11:40 228  
[TXT]Bike_safety_2015.csv 2017-10-11 11:40 226  
[TXT]Working_parents.csv 2017-10-11 11:40 224  
[TXT]How_old_is_that_Tree..>2017-10-11 11:04 223  
[TXT]Boyle.csv 2017-10-11 11:40 222  
[TXT]Property_assessment.csv2017-10-11 11:40 218  
[TXT]Drug_abuse.csv 2017-10-11 11:40 210  
[TXT]Hot_dogs.csv 2017-10-11 11:40 206  
[TXT]Lunchtime.csv 2017-10-11 11:04 196  
[TXT]A-Rod_2016.csv 2017-10-11 11:40 191  
[TXT]Gators.csv 2017-10-11 11:40 187  
[TXT]Dairy_sales.csv 2017-10-11 11:40 182  
[TXT]Birthrates_2015.csv 2017-10-11 11:40 175  
[TXT]Pulse_rates.csv 2017-10-11 11:40 164  
[TXT]Chips.csv 2017-10-11 11:04 163  
[TXT]Cramming.csv 2017-10-11 11:40 162  
[TXT]Oranges.csv 2017-10-11 11:40 159  
[TXT]Online_insurance.csv 2017-10-11 11:40 152  
[TXT]Reading.csv 2017-10-11 11:40 149  
[TXT]noxemissions.txt 2010-03-31 14:21 148  
[TXT]Friday_the_13th_Acci..>2017-10-11 11:40 147  
[TXT]Mail.csv 2017-10-11 11:40 142  
[   ]peasunburn.dat 2009-08-24 17:16 138  
[TXT]Strikes.csv 2017-10-11 11:40 137  
[TXT]Stopping_distance.csv 2017-10-11 11:40 137  
[TXT]Williams_football.csv 2017-10-11 11:04 136  
[TXT]Brakes.csv 2017-10-11 11:40 135  
[TXT]Legionnaires_disease..>2017-10-11 11:40 132  
[TXT]lichen.txt 2009-11-17 13:41 131  
[TXT]Vehicle_weights.csv 2017-10-11 11:40 127  
[TXT]rainrun.txt 2009-11-17 13:41 121  
[TXT]SWaterTempJuly.txt 2009-11-10 14:38 120  
[TXT]Used_cars_2014.csv 2017-10-11 11:40 116  
[TXT]Accidents.csv 2017-10-11 11:40 116  
[TXT]Brain_waves.csv 2017-10-11 11:40 115  
[TXT]Pregnancies.csv 2017-10-11 11:40 113  
[TXT]Maze.csv 2017-10-11 11:40 108  
[TXT]Disk_drives_2016.csv 2017-10-11 11:40 108  
[TXT]Bookstore_sales.csv 2017-10-11 11:40 108  
[TXT]Job_satisfaction.csv 2017-10-11 11:40 107  
[TXT]Gasoline.csv 2017-10-11 11:40 107  
[TXT]Burgers.csv 2017-10-11 11:40 107  
[TXT]FFx2.txt 2009-11-30 13:48 104  
[TXT]Ballplayer_births.csv 2017-10-11 11:40 102  
[TXT]Pi.csv 2017-10-11 11:40 101  
[TXT]Speed_and_density.csv 2017-10-11 11:04 99  
[TXT]F-stops.csv 2017-10-11 11:40 99  
[TXT]Tree_growth.csv 2017-10-11 11:40 94  
[TXT]Storks.csv 2017-10-11 11:40 92  
[TXT]Stopping_distance_60..>2017-10-11 11:40 92  
[TXT]Rip_currents_2013.csv 2017-10-11 11:40 92  
[TXT]Slower_is_cheaper.csv 2017-10-11 11:40 91  
[TXT]Pendulum.csv 2017-10-11 11:40 88  
[TXT]Chips_Ahoy!.csv 2017-10-11 11:40 88  
[TXT]Push_ups.csv 2017-10-11 11:40 84  
[TXT]Buy_from_a_friend.csv 2017-10-11 11:40 81  
[TXT]Floods_2015.csv 2017-10-11 11:40 78  
[TXT]Tornadoes_2015.csv 2017-10-11 11:40 76  
[TXT]Popcorn.csv 2017-10-11 11:40 75  
[TXT]Williams_vs_Texas.csv 2017-10-11 11:04 70  
[TXT]Down_the_Drain.csv 2017-10-11 11:04 69  
[TXT]Bird_Species_2013.csv 2017-10-11 11:40 69  
[TXT]Ski_wax.csv 2017-10-11 11:40 63  
[TXT]Age_and_party.csv 2017-10-11 11:40 61  
[TXT]Sleep.csv 2017-10-11 11:40 58  
[TXT]Yogurt.csv 2017-10-11 11:40 54  
[TXT]Summer_school.csv 2017-10-11 11:40 49  
[TXT]Computer_lab_fees.csv 2017-10-11 11:40 46  
[TXT]Ruffles.csv 2017-10-11 11:40 40  
[TXT]Fritos.csv 2017-10-11 11:40 40  
[TXT]Doritos.csv 2017-10-11 11:40 40  
[DIR]projects/ 2021-03-30 10:44 -