Data Exploration with Data from GIT repo
#df <- read.csv("C:/CUNY/Assignments/Workshop/R/week3/Week3DataSet.csv", header = TRUE, stringsAsFactors = FALSE)
dataURL <- "https://raw.githubusercontent.com/san123i/CUNY/master/Assignments_workshop/R/week3/Week3DataSet.csv"
onlineDataSet <- read.csv(dataURL, header = TRUE, stringsAsFactors = FALSE)
df <- onlineDataSet
summary(df)## Package Item Title Rows
## Length:1243 Length:1243 Length:1243 Min. : 0
## Class :character Class :character Class :character 1st Qu.: 30
## Mode :character Mode :character Mode :character Median : 90
## Mean : 1576
## 3rd Qu.: 451
## Max. :372864
## Cols has_logical has_binary has_numeric
## Min. : 1.00 Mode :logical Mode :logical Mode :logical
## 1st Qu.: 3.00 FALSE:1233 FALSE:717 FALSE:329
## Median : 5.00 TRUE :10 TRUE :526 TRUE :914
## Mean : 14.96
## 3rd Qu.: 9.00
## Max. :6831.00
## has_character CSV Doc
## Mode :logical Length:1243 Length:1243
## FALSE:1190 Class :character Class :character
## TRUE :53 Mode :character Mode :character
##
##
## mean(df$Rows)## [1] 1575.697mean(df$Cols)## [1] 14.96541median(df$Rows)## [1] 90median(df$Cols)## [1] 5quantile(df$Rows)## 0% 25% 50% 75% 100%
## 0 30 90 451 372864quantile(df$Cols)## 0% 25% 50% 75% 100%
## 1 3 5 9 6831Data Wrangling
subset_frame <- df[c(1:500), c(1:9)]
subset_frame$totalData <- subset_frame$Rows * subset_frame$Cols
#Calculate a new column value from existing column data
titleLength <- nchar(subset_frame$Title, type="chars")
#Added a new Column TitleLength
subset_frame$TitleLength <- titleLength
colnames(subset_frame)[4] <- c("RowCount")
colnames(subset_frame)[5] <- c("ColCount")
subset_frame## Package Item
## 1 boot acme
## 2 boot aids
## 3 boot aircondit
## 4 boot aircondit7
## 5 boot amis
## 6 boot aml
## 7 boot beaver
## 8 boot bigcity
## 9 boot brambles
## 10 boot breslow
## 11 boot calcium
## 12 boot cane
## 13 boot capability
## 14 boot catsM
## 15 boot cav
## 16 boot cd4
## 17 boot cd4.nested
## 18 boot channing
## 19 boot city
## 20 boot claridge
## 21 boot cloth
## 22 boot co.transfer
## 23 boot coal
## 24 boot darwin
## 25 boot dogs
## 26 boot downs.bc
## 27 boot ducks
## 28 boot fir
## 29 boot frets
## 30 boot grav
## 31 boot gravity
## 32 boot hirose
## 33 boot islay
## 34 boot manaus
## 35 boot melanoma
## 36 boot motor
## 37 boot neuro
## 38 boot nitrofen
## 39 boot nodal
## 40 boot nuclear
## 41 boot paulsen
## 42 boot poisons
## 43 boot polar
## 44 boot remission
## 45 boot salinity
## 46 boot survival
## 47 boot tau
## 48 boot tuna
## 49 boot urine
## 50 boot wool
## 51 carData Adler
## 52 carData AMSsurvey
## 53 carData Angell
## 54 carData Anscombe
## 55 carData Arrests
## 56 carData Baumann
## 57 carData BEPS
## 58 carData Bfox
## 59 carData Blackmore
## 60 carData Burt
## 61 carData CanPop
## 62 carData Chile
## 63 carData Chirot
## 64 carData Cowles
## 65 carData Davis
## 66 carData DavisThin
## 67 carData Depredations
## 68 carData Duncan
## 69 carData Ericksen
## 70 carData Florida
## 71 carData Freedman
## 72 carData Friendly
## 73 carData Ginzberg
## 74 carData Greene
## 75 carData GSSvocab
## 76 carData Guyer
## 77 carData Hartnagel
## 78 carData Highway1
## 79 carData KosteckiDillon
## 80 carData Leinhardt
## 81 carData LoBD
## 82 carData Mandel
## 83 carData Migration
## 84 carData Moore
## 85 carData MplsDemo
## 86 carData MplsStops
## 87 carData Mroz
## 88 carData OBrienKaiser
## 89 carData Ornstein
## 90 carData Pottery
## 91 carData Prestige
## 92 carData Quartet
## 93 carData Robey
## 94 carData Sahlins
## 95 carData Salaries
## 96 carData SLID
## 97 carData Soils
## 98 carData States
## 99 carData TitanicSurvival
## 100 carData Transact
## 101 carData UN
## 102 carData USPop
## 103 carData Vocab
## 104 carData WeightLoss
## 105 carData Wells
## 106 carData Womenlf
## 107 carData Wong
## 108 carData Wool
## 109 carData WVS
## 110 cluster agriculture
## 111 cluster animals
## 112 cluster chorSub
## 113 cluster flower
## 114 cluster plantTraits
## 115 cluster pluton
## 116 cluster ruspini
## 117 cluster votes.repub
## 118 cluster xclara
## 119 COUNT affairs
## 120 COUNT azcabgptca
## 121 COUNT azdrg112
## 122 COUNT azpro
## 123 COUNT azprocedure
## 124 COUNT badhealth
## 125 COUNT fasttrakg
## 126 COUNT fishing
## 127 COUNT lbw
## 128 COUNT lbwgrp
## 129 COUNT loomis
## 130 COUNT mdvis
## 131 COUNT medpar
## 132 COUNT nuts
## 133 COUNT rwm
## 134 COUNT rwm1984
## 135 COUNT rwm5yr
## 136 COUNT ships
## 137 COUNT smoking
## 138 COUNT titanic
## 139 COUNT titanicgrp
## 140 DAAG ACF1
## 141 DAAG ais
## 142 DAAG allbacks
## 143 DAAG anesthetic
## 144 DAAG ant111b
## 145 DAAG antigua
## 146 DAAG appletaste
## 147 DAAG aulatlong
## 148 DAAG austpop
## 149 DAAG biomass
## 150 DAAG bomregions
## 151 DAAG bomregions2011
## 152 DAAG bomregions2012
## 153 DAAG bomsoi
## 154 DAAG bomsoi2001
## 155 DAAG bostonc
## 156 DAAG carprice
## 157 DAAG Cars93.summary
## 158 DAAG cerealsugar
## 159 DAAG cfseal
## 160 DAAG cities
## 161 DAAG codling
## 162 DAAG cottonworkers
## 163 DAAG cps1
## 164 DAAG cps2
## 165 DAAG cps3
## 166 DAAG cricketer
## 167 DAAG cuckoohosts
## 168 DAAG cuckoos
## 169 DAAG dengue
## 170 DAAG dewpoint
## 171 DAAG droughts
## 172 DAAG edcCO2
## 173 DAAG edcT
## 174 DAAG elastic1
## 175 DAAG elastic2
## 176 DAAG elasticband
## 177 DAAG fossilfuel
## 178 DAAG fossum
## 179 DAAG frogs
## 180 DAAG frostedflakes
## 181 DAAG fruitohms
## 182 DAAG gaba
## 183 DAAG geophones
## 184 DAAG greatLakes
## 185 DAAG grog
## 186 DAAG head.injury
## 187 DAAG headInjury
## 188 DAAG hills
## 189 DAAG hills2000
## 190 DAAG hotspots
## 191 DAAG hotspots2006
## 192 DAAG houseprices
## 193 DAAG humanpower1
## 194 DAAG humanpower2
## 195 DAAG hurricNamed
## 196 DAAG intersalt
## 197 DAAG ironslag
## 198 DAAG jobs
## 199 DAAG kiwishade
## 200 DAAG leafshape
## 201 DAAG leafshape17
## 202 DAAG leaftemp
## 203 DAAG leaftemp.all
## 204 DAAG litters
## 205 DAAG Lottario
## 206 DAAG lung
## 207 DAAG Manitoba.lakes
## 208 DAAG measles
## 209 DAAG medExpenses
## 210 DAAG mifem
## 211 DAAG mignonette
## 212 DAAG milk
## 213 DAAG modelcars
## 214 DAAG monica
## 215 DAAG moths
## 216 DAAG nassCDS
## 217 DAAG nasshead
## 218 DAAG nihills
## 219 DAAG nsw74demo
## 220 DAAG nsw74psid1
## 221 DAAG nsw74psid3
## 222 DAAG nsw74psidA
## 223 DAAG nswdemo
## 224 DAAG nswpsid1
## 225 DAAG oddbooks
## 226 DAAG orings
## 227 DAAG ozone
## 228 DAAG pair65
## 229 DAAG possum
## 230 DAAG possumsites
## 231 DAAG poxetc
## 232 DAAG primates
## 233 DAAG progression
## 234 DAAG psid1
## 235 DAAG psid2
## 236 DAAG psid3
## 237 DAAG races2000
## 238 DAAG rainforest
## 239 DAAG rareplants
## 240 DAAG rice
## 241 DAAG rockArt
## 242 DAAG roller
## 243 DAAG science
## 244 DAAG seedrates
## 245 DAAG socsupport
## 246 DAAG softbacks
## 247 DAAG sorption
## 248 DAAG SP500close
## 249 DAAG SP500W90
## 250 DAAG spam7
## 251 DAAG stVincent
## 252 DAAG sugar
## 253 DAAG tinting
## 254 DAAG tomato
## 255 DAAG toycars
## 256 DAAG vince111b
## 257 DAAG vlt
## 258 DAAG wages1833
## 259 DAAG whoops
## 260 DAAG worldRecords
## 261 datasets ability.cov
## 262 datasets airmiles
## 263 datasets AirPassengers
## 264 datasets airquality
## 265 datasets anscombe
## 266 datasets attenu
## 267 datasets attitude
## 268 datasets austres
## 269 datasets BJsales
## 270 datasets BOD
## 271 datasets cars
## 272 datasets ChickWeight
## 273 datasets chickwts
## 274 datasets co2
## 275 datasets CO2
## 276 datasets crimtab
## 277 datasets discoveries
## 278 datasets DNase
## 279 datasets esoph
## 280 datasets euro
## 281 datasets EuStockMarkets
## 282 datasets faithful
## 283 datasets Formaldehyde
## 284 datasets freeny
## 285 datasets HairEyeColor
## 286 datasets Harman23.cor
## 287 datasets Harman74.cor
## 288 datasets Indometh
## 289 datasets infert
## 290 datasets InsectSprays
## 291 datasets iris
## 292 datasets iris3
## 293 datasets islands
## 294 datasets JohnsonJohnson
## 295 datasets LakeHuron
## 296 datasets lh
## 297 datasets LifeCycleSavings
## 298 datasets Loblolly
## 299 datasets longley
## 300 datasets lynx
## 301 datasets morley
## 302 datasets mtcars
## 303 datasets nhtemp
## 304 datasets Nile
## 305 datasets nottem
## 306 datasets npk
## 307 datasets occupationalStatus
## 308 datasets Orange
## 309 datasets OrchardSprays
## 310 datasets PlantGrowth
## 311 datasets precip
## 312 datasets presidents
## 313 datasets pressure
## 314 datasets Puromycin
## 315 datasets quakes
## 316 datasets randu
## 317 datasets rivers
## 318 datasets rock
## 319 datasets Seatbelts
## 320 datasets sleep
## 321 datasets stackloss
## 322 datasets sunspot.month
## 323 datasets sunspot.year
## 324 datasets sunspots
## 325 datasets swiss
## 326 datasets Theoph
## 327 datasets Titanic
## 328 datasets ToothGrowth
## 329 datasets treering
## 330 datasets trees
## 331 datasets UCBAdmissions
## 332 datasets UKDriverDeaths
## 333 datasets UKgas
## 334 datasets USAccDeaths
## 335 datasets USArrests
## 336 datasets USJudgeRatings
## 337 datasets USPersonalExpenditure
## 338 datasets uspop
## 339 datasets VADeaths
## 340 datasets volcano
## 341 datasets warpbreaks
## 342 datasets women
## 343 datasets WorldPhones
## 344 datasets WWWusage
## 345 drc acidiq
## 346 drc algae
## 347 drc auxins
## 348 drc chickweed
## 349 drc chickweed0
## 350 drc daphnids
## 351 drc decontaminants
## 352 drc deguelin
## 353 drc earthworms
## 354 drc etmotc
## 355 drc finney71
## 356 drc G.aparine
## 357 drc germination
## 358 drc glymet
## 359 drc H.virescens
## 360 drc heartrate
## 361 drc leaflength
## 362 drc lepidium
## 363 drc lettuce
## 364 drc M.bahia
## 365 drc mecter
## 366 drc metals
## 367 drc methionine
## 368 drc nasturtium
## 369 drc O.mykiss
## 370 drc P.promelas
## 371 drc RScompetition
## 372 drc ryegrass
## 373 drc S.alba
## 374 drc S.capricornutum
## 375 drc secalonic
## 376 drc selenium
## 377 drc spinach
## 378 drc terbuthylazin
## 379 drc vinclozolin
## 380 Ecdat Accident
## 381 Ecdat Airline
## 382 Ecdat Airq
## 383 Ecdat bankingCrises
## 384 Ecdat Benefits
## 385 Ecdat Bids
## 386 Ecdat breaches
## 387 Ecdat BudgetFood
## 388 Ecdat BudgetItaly
## 389 Ecdat BudgetUK
## 390 Ecdat Bwages
## 391 Ecdat Capm
## 392 Ecdat Car
## 393 Ecdat Caschool
## 394 Ecdat Catsup
## 395 Ecdat Cigar
## 396 Ecdat Cigarette
## 397 Ecdat Clothing
## 398 Ecdat Computers
## 399 Ecdat Consumption
## 400 Ecdat CPSch3
## 401 Ecdat Cracker
## 402 Ecdat CRANpackages
## 403 Ecdat Crime
## 404 Ecdat CRSPday
## 405 Ecdat CRSPmon
## 406 Ecdat Diamond
## 407 Ecdat DM
## 408 Ecdat Doctor
## 409 Ecdat DoctorAUS
## 410 Ecdat DoctorContacts
## 411 Ecdat Earnings
## 412 Ecdat Electricity
## 413 Ecdat Fair
## 414 Ecdat Fatality
## 415 Ecdat Fishing
## 416 Ecdat Forward
## 417 Ecdat FriendFoe
## 418 Ecdat Garch
## 419 Ecdat Gasoline
## 420 Ecdat Griliches
## 421 Ecdat Grunfeld
## 422 Ecdat HC
## 423 Ecdat Hdma
## 424 Ecdat Heating
## 425 Ecdat Hedonic
## 426 Ecdat HHSCyberSecurityBreaches
## 427 Ecdat HI
## 428 Ecdat Hmda
## 429 Ecdat Housing
## 430 Ecdat Hstarts
## 431 Ecdat Icecream
## 432 Ecdat incidents.byCountryYr
## 433 Ecdat incomeInequality
## 434 Ecdat IncomeUK
## 435 Ecdat Irates
## 436 Ecdat Journals
## 437 Ecdat Kakadu
## 438 Ecdat Ketchup
## 439 Ecdat Klein
## 440 Ecdat LaborSupply
## 441 Ecdat Labour
## 442 Ecdat Longley
## 443 Ecdat LT
## 444 Ecdat Macrodat
## 445 Ecdat Males
## 446 Ecdat ManufCost
## 447 Ecdat Mathlevel
## 448 Ecdat MCAS
## 449 Ecdat MedExp
## 450 Ecdat Metal
## 451 Ecdat Mishkin
## 452 Ecdat Mode
## 453 Ecdat ModeChoice
## 454 Ecdat Mofa
## 455 Ecdat Money
## 456 Ecdat MoneyUS
## 457 Ecdat Mpyr
## 458 Ecdat Mroz
## 459 Ecdat MunExp
## 460 Ecdat MW
## 461 Ecdat NaturalPark
## 462 Ecdat Nerlove
## 463 Ecdat nkill.byCountryYr
## 464 Ecdat nonEnglishNames
## 465 Ecdat OFP
## 466 Ecdat Oil
## 467 Ecdat Orange
## 468 Ecdat Participation
## 469 Ecdat PatentsHGH
## 470 Ecdat PatentsRD
## 471 Ecdat PE
## 472 Ecdat politicalKnowledge
## 473 Ecdat Pound
## 474 Ecdat PPP
## 475 Ecdat Pricing
## 476 Ecdat Produc
## 477 Ecdat PSID
## 478 Ecdat RetSchool
## 479 Ecdat Schooling
## 480 Ecdat Solow
## 481 Ecdat Somerville
## 482 Ecdat SP500
## 483 Ecdat Star
## 484 Ecdat Strike
## 485 Ecdat StrikeDur
## 486 Ecdat StrikeNb
## 487 Ecdat SumHes
## 488 Ecdat Tbrate
## 489 Ecdat terrorism
## 490 Ecdat Tobacco
## 491 Ecdat Train
## 492 Ecdat TranspEq
## 493 Ecdat Treatment
## 494 Ecdat Tuna
## 495 Ecdat UnempDur
## 496 Ecdat Unemployment
## 497 Ecdat University
## 498 Ecdat USclassifiedDocuments
## 499 Ecdat USFinanceIndustry
## 500 Ecdat USGDPpresidents
## Title
## 1 Monthly Excess Returns
## 2 Delay in AIDS Reporting in England and Wales
## 3 Failures of Air-conditioning Equipment
## 4 Failures of Air-conditioning Equipment
## 5 Car Speeding and Warning Signs
## 6 Remission Times for Acute Myelogenous Leukaemia
## 7 Beaver Body Temperature Data
## 8 Population of U.S. Cities
## 9 Spatial Location of Bramble Canes
## 10 Smoking Deaths Among Doctors
## 11 Calcium Uptake Data
## 12 Sugar-cane Disease Data
## 13 Simulated Manufacturing Process Data
## 14 Weight Data for Domestic Cats
## 15 Position of Muscle Caveolae
## 16 CD4 Counts for HIV-Positive Patients
## 17 Nested Bootstrap of cd4 data
## 18 Channing House Data
## 19 Population of U.S. Cities
## 20 Genetic Links to Left-handedness
## 21 Number of Flaws in Cloth
## 22 Carbon Monoxide Transfer
## 23 Dates of Coal Mining Disasters
## 24 Darwin's Plant Height Differences
## 25 Cardiac Data for Domestic Dogs
## 26 Incidence of Down's Syndrome in British Columbia
## 27 Behavioral and Plumage Characteristics of Hybrid Ducks
## 28 Counts of Balsam-fir Seedlings
## 29 Head Dimensions in Brothers
## 30 Acceleration Due to Gravity
## 31 Acceleration Due to Gravity
## 32 Failure Time of PET Film
## 33 Jura Quartzite Azimuths on Islay
## 34 Average Heights of the Rio Negro river at Manaus
## 35 Survival from Malignant Melanoma
## 36 Data from a Simulated Motorcycle Accident
## 37 Neurophysiological Point Process Data
## 38 Toxicity of Nitrofen in Aquatic Systems
## 39 Nodal Involvement in Prostate Cancer
## 40 Nuclear Power Station Construction Data
## 41 Neurotransmission in Guinea Pig Brains
## 42 Animal Survival Times
## 43 Pole Positions of New Caledonian Laterites
## 44 Cancer Remission and Cell Activity
## 45 Water Salinity and River Discharge
## 46 Survival of Rats after Radiation Doses
## 47 Tau Particle Decay Modes
## 48 Tuna Sighting Data
## 49 Urine Analysis Data
## 50 Australian Relative Wool Prices
## 51 Experimenter Expectations
## 52 American Math Society Survey Data
## 53 Moral Integration of American Cities
## 54 U. S. State Public-School Expenditures
## 55 Arrests for Marijuana Possession
## 56 Methods of Teaching Reading Comprehension
## 57 British Election Panel Study
## 58 Canadian Women's Labour-Force Participation
## 59 Exercise Histories of Eating-Disordered and Control Subjects
## 60 Fraudulent Data on IQs of Twins Raised Apart
## 61 Canadian Population Data
## 62 Voting Intentions in the 1988 Chilean Plebiscite
## 63 The 1907 Romanian Peasant Rebellion
## 64 Cowles and Davis's Data on Volunteering
## 65 Self-Reports of Height and Weight
## 66 Davis's Data on Drive for Thinness
## 67 Minnesota Wolf Depredation Data
## 68 Duncan's Occupational Prestige Data
## 69 The 1980 U.S. Census Undercount
## 70 Florida County Voting
## 71 Crowding and Crime in U. S. Metropolitan Areas
## 72 Format Effects on Recall
## 73 Data on Depression
## 74 Refugee Appeals
## 75 Data from the General Social Survey (GSS) from the National Opinion Research Center of the University of Chicago.
## 76 Anonymity and Cooperation
## 77 Canadian Crime-Rates Time Series
## 78 Highway Accidents
## 79 Treatment of Migraine Headaches
## 80 Data on Infant-Mortality
## 81 Cancer drug data use to provide an example of the use of the skew power distributions.
## 82 Contrived Collinear Data
## 83 Canadian Interprovincial Migration Data
## 84 Status, Authoritarianism, and Conformity
## 85 Minneapolis Demographic Data 2015, by Neighborhood
## 86 Minneapolis Police Department 2017 Stop Data
## 87 U.S. Women's Labor-Force Participation
## 88 O'Brien and Kaiser's Repeated-Measures Data
## 89 Interlocking Directorates Among Major Canadian Firms
## 90 Chemical Composition of Pottery
## 91 Prestige of Canadian Occupations
## 92 Four Regression Datasets
## 93 Fertility and Contraception
## 94 Agricultural Production in Mazulu Village
## 95 Salaries for Professors
## 96 Survey of Labour and Income Dynamics
## 97 Soil Compositions of Physical and Chemical Characteristics
## 98 Education and Related Statistics for the U.S. States
## 99 Survival of Passengers on the Titanic
## 100 Transaction data
## 101 National Statistics from the United Nations, Mostly From 2009-2011
## 102 Population of the United States
## 103 Vocabulary and Education
## 104 Weight Loss Data
## 105 Well Switching in Bangladesh
## 106 Canadian Women's Labour-Force Participation
## 107 Post-Coma Recovery of IQ
## 108 Wool data
## 109 World Values Surveys
## 110 European Union Agricultural Workforces
## 111 Attributes of Animals
## 112 Subset of C-horizon of Kola Data
## 113 Flower Characteristics
## 114 Plant Species Traits Data
## 115 Isotopic Composition Plutonium Batches
## 116 Ruspini Data
## 117 Votes for Republican Candidate in Presidential Elections
## 118 Bivariate Data Set with 3 Clusters
## 119 affairs
## 120 azcabgptca
## 121 azdrg112
## 122 azpro
## 123 azprocedure
## 124 badhealth
## 125 fasttrakg
## 126 fishing
## 127 lbw
## 128 lbwgrp
## 129 loomis
## 130 mdvis
## 131 medpar
## 132 nuts
## 133 rwm
## 134 rwm1984
## 135 rwm5yr
## 136 ships
## 137 smoking
## 138 titanic
## 139 titanicgrp
## 140 Aberrant Crypt Foci in Rat Colons
## 141 Australian athletes data set
## 142 Measurements on a Selection of Books
## 143 Anesthetic Effectiveness
## 144 Averages by block of corn yields, for treatment 111 only
## 145 Averages by block of yields for the Antigua Corn data
## 146 Tasting experiment that compared four apple varieties
## 147 Latitudes and longitudes for ten Australian cities
## 148 Population figures for Australian States and Territories
## 149 Biomass Data
## 150 Australian and Related Historical Annual Climate Data, by region
## 151 Australian and Related Historical Annual Climate Data, by region
## 152 Australian and Related Historical Annual Climate Data, by region
## 153 Southern Oscillation Index Data
## 154 Southern Oscillation Index Data
## 155 Boston Housing Data - Corrected
## 156 US Car Price Data
## 157 A Summary of the Cars93 Data set
## 158 Percentage of Sugar in Breakfast Cereal
## 159 Cape Fur Seal Data
## 160 Populations of Major Canadian Cities (1992-96)
## 161 Dose-mortality data, for fumigation of codling moth with methyl bromide
## 162 Occupation and wage profiles of British cotton workers
## 163 Labour Training Evaluation Data
## 164 Labour Training Evaluation Data
## 165 Labour Training Evaluation Data
## 166 Lifespans of UK 1st class cricketers born 1840-1960
## 167 Comparison of cuckoo eggs with host eggs
## 168 Cuckoo Eggs Data
## 169 Dengue prevalence, by administrative region
## 170 Dewpoint Data
## 171 Periods Between Rain Events
## 172 EPICA Dome C Ice Core 800KYr Carbon Dioxide Data
## 173 EPICA Dome C Ice Core 800KYr Temperature Estimates
## 174 Elastic Band Data Replicated
## 175 Elastic Band Data Replicated Again
## 176 Elastic Band Data
## 177 Fossil Fuel Data
## 178 Female Possum Measurements
## 179 Frogs Data
## 180 Frosted Flakes data
## 181 Electrical Resistance of Kiwi Fruit
## 182 Effect of pentazocine on post-operative pain (average VAS scores)
## 183 Seismic Timing Data
## 184 Yearly averages of Great Lake heights: 1918 - 2009
## 185 Alcohol consumption in Australia and New Zealand
## 186 Minor Head Injury (Simulated) Data
## 187 Minor Head Injury (Simulated) Data
## 188 Scottish Hill Races Data
## 189 Scottish Hill Races Data - 2000
## 190 Hawaian island chain hotspot Potassium-Argon ages
## 191 Hawaian island chain hotspot Argon-Argon ages
## 192 Aranda House Prices
## 193 Oxygen uptake versus mechanical power, for humans
## 194 Oxygen uptake versus mechanical power, for humans
## 195 Named US Atlantic Hurricanes
## 196 Blood pressure versus Salt; inter-population data
## 197 Iron Content Measurements
## 198 Canadian Labour Force Summary Data (1995-96)
## 199 Kiwi Shading Data
## 200 Full Leaf Shape Data Set
## 201 Subset of Leaf Shape Data Set
## 202 Leaf and Air Temperature Data
## 203 Full Leaf and Air Temperature Data Set
## 204 Mouse Litters
## 205 Ontario Lottery Data
## 206 Cape Fur Seal Lung Measurements
## 207 The Nine Largest Lakes in Manitoba
## 208 Deaths in London from measles
## 209 Family Medical Expenses
## 210 Mortality Outcomes for Females Suffering Myocardial Infarction
## 211 Darwin's Wild Mignonette Data
## 212 Milk Sweetness Study
## 213 Model Car Data
## 214 WHO Monica Data
## 215 Moths Data
## 216 Airbag and other influences on accident fatalities
## 217 Documentation of names of columns in nass9702cor
## 218 Record times for Northern Ireland mountain running events
## 219 Labour Training Evaluation Data
## 220 Labour Training Evaluation Data
## 221 Labour Training Evaluation Data
## 222 A Subset of the nsw74psid1 Data Set
## 223 Labour Training Evaluation Data
## 224 Labour Training Evaluation Data
## 225 Measurements on 12 books
## 226 Challenger O-rings Data
## 227 Ozone Data
## 228 Heated Elastic Bands
## 229 Possum Measurements
## 230 Possum Sites
## 231 Deaths from various causes, in London from 1629 till 1881, with gaps
## 232 Primate Body and Brain Weights
## 233 Progression of Record times for track races, 1912 - 2008
## 234 Labour Training Evaluation Data
## 235 Labour Training Evaluation Data
## 236 Labour Training Evaluation Data
## 237 Scottish Hill Races Data - 2000
## 238 Rainforest Data
## 239 Rare and Endangered Plant Species
## 240 Genetically Modified and Wild Type Rice Data
## 241 Pacific Rock Art features
## 242 Lawn Roller Data
## 243 School Science Survey Data
## 244 Barley Seeding Rate Data
## 245 Social Support Data
## 246 Measurements on a Selection of Paperback Books
## 247 sorption data set
## 248 Closing Numbers for S and P 500 Index
## 249 Closing Numbers for S and P 500 Index - First 100 Days of 1990
## 250 Spam E-mail Data
## 251 Averages by block of yields for the St. Vincent Corn data
## 252 Sugar Data
## 253 Car Window Tinting Experiment Data
## 254 Root weights of tomato plants exposed to 4 different treatments
## 255 Toy Cars Data
## 256 Averages by block of corn yields, for treatment 111 only
## 257 Video Lottery Terminal Data
## 258 Wages of Lancashire Cotton Factory Workers in 1833
## 259 Deaths from whooping cough, in London
## 260 Record times for track and road races, at August 9th 2006
## 261 Ability and Intelligence Tests
## 262 Passenger Miles on Commercial US Airlines, 1937-1960
## 263 Monthly Airline Passenger Numbers 1949-1960
## 264 New York Air Quality Measurements
## 265 Anscombe's Quartet of 'Identical' Simple Linear Regressions
## 266 The Joyner-Boore Attenuation Data
## 267 The Chatterjee-Price Attitude Data
## 268 Quarterly Time Series of the Number of Australian Residents
## 269 Sales Data with Leading Indicator
## 270 Biochemical Oxygen Demand
## 271 Speed and Stopping Distances of Cars
## 272 Weight versus age of chicks on different diets
## 273 Chicken Weights by Feed Type
## 274 Mauna Loa Atmospheric CO2 Concentration
## 275 Carbon Dioxide Uptake in Grass Plants
## 276 Student's 3000 Criminals Data
## 277 Yearly Numbers of Important Discoveries
## 278 Elisa assay of DNase
## 279 Smoking, Alcohol and (O)esophageal Cancer
## 280 Conversion Rates of Euro Currencies
## 281 Daily Closing Prices of Major European Stock Indices, 1991-1998
## 282 Old Faithful Geyser Data
## 283 Determination of Formaldehyde
## 284 Freeny's Revenue Data
## 285 Hair and Eye Color of Statistics Students
## 286 Harman Example 2.3
## 287 Harman Example 7.4
## 288 Pharmacokinetics of Indomethacin
## 289 Infertility after Spontaneous and Induced Abortion
## 290 Effectiveness of Insect Sprays
## 291 Edgar Anderson's Iris Data
## 292 Edgar Anderson's Iris Data
## 293 Areas of the World's Major Landmasses
## 294 Quarterly Earnings per Johnson & Johnson Share
## 295 Level of Lake Huron 1875-1972
## 296 Luteinizing Hormone in Blood Samples
## 297 Intercountry Life-Cycle Savings Data
## 298 Growth of Loblolly pine trees
## 299 Longley's Economic Regression Data
## 300 Annual Canadian Lynx trappings 1821-1934
## 301 Michelson Speed of Light Data
## 302 Motor Trend Car Road Tests
## 303 Average Yearly Temperatures in New Haven
## 304 Flow of the River Nile
## 305 Average Monthly Temperatures at Nottingham, 1920-1939
## 306 Classical N, P, K Factorial Experiment
## 307 Occupational Status of Fathers and their Sons
## 308 Growth of Orange Trees
## 309 Potency of Orchard Sprays
## 310 Results from an Experiment on Plant Growth
## 311 Annual Precipitation in US Cities
## 312 Quarterly Approval Ratings of US Presidents
## 313 Vapor Pressure of Mercury as a Function of Temperature
## 314 Reaction Velocity of an Enzymatic Reaction
## 315 Locations of Earthquakes off Fiji
## 316 Random Numbers from Congruential Generator RANDU
## 317 Lengths of Major North American Rivers
## 318 Measurements on Petroleum Rock Samples
## 319 Road Casualties in Great Britain 1969-84
## 320 Student's Sleep Data
## 321 Brownlee's Stack Loss Plant Data
## 322 Monthly Sunspot Data, from 1749 to "Present"
## 323 Yearly Sunspot Data, 1700-1988
## 324 Monthly Sunspot Numbers, 1749-1983
## 325 Swiss Fertility and Socioeconomic Indicators (1888) Data
## 326 Pharmacokinetics of Theophylline
## 327 Survival of passengers on the Titanic
## 328 The Effect of Vitamin C on Tooth Growth in Guinea Pigs
## 329 Yearly Treering Data, -6000-1979
## 330 Girth, Height and Volume for Black Cherry Trees
## 331 Student Admissions at UC Berkeley
## 332 Road Casualties in Great Britain 1969-84
## 333 UK Quarterly Gas Consumption
## 334 Accidental Deaths in the US 1973-1978
## 335 Violent Crime Rates by US State
## 336 Lawyers' Ratings of State Judges in the US Superior Court
## 337 Personal Expenditure Data
## 338 Populations Recorded by the US Census
## 339 Death Rates in Virginia (1940)
## 340 Topographic Information on Auckland's Maunga Whau Volcano
## 341 The Number of Breaks in Yarn during Weaving
## 342 Average Heights and Weights for American Women
## 343 The World's Telephones
## 344 Internet Usage per Minute
## 345 Acifluorfen and diquat tested on Lemna minor.
## 346 Volume of algae as function of increasing concentrations of a herbicide
## 347 Effect of technical grade and commercially formulated auxin herbicides
## 348 Germination of common chickweed (_Stellaria media_)
## 349 Germination of common chickweed (_Stellaria media_)
## 350 Daphnia test
## 351 Performance of decontaminants used in the culturing of a micro-organism
## 352 Deguelin applied to chrysanthemum aphis
## 353 Earthworm toxicity test
## 354 Effect of erythromycin on mixed sewage microorganisms
## 355 Example from Finney (1971)
## 356 Herbicide applied to Galium aparine
## 357 Germination of three crops
## 358 Glyphosate and metsulfuron-methyl tested on algae.
## 359 Mortality of tobacco budworms
## 360 Heart rate baroreflexes for rabbits
## 361 Leaf length of barley
## 362 Dose-response profile of degradation of agrochemical using lepidium
## 363 Hormesis in lettuce plants
## 364 Effect of an effluent on the growth of mysid shrimp
## 365 Mechlorprop and terbythylazine tested on Lemna minor
## 366 Data from heavy metal mixture experiments
## 367 Weight gain for different methionine sources
## 368 Dose-response profile of degradation of agrochemical using nasturtium
## 369 Test data from a 21 day fish test
## 370 Effect of sodium pentachlorophenate on growth of fathead minnow
## 371 Competition between two biotypes
## 372 Effect of ferulic acid on growth of ryegrass
## 373 Potency of two herbicides
## 374 Effect of cadmium on growth of green alga
## 375 Root length measurements
## 376 Data from toxicology experiments with selenium
## 377 Inhibition of photosynthesis
## 378 The effect of terbuthylazin on growth rate
## 379 Vinclozolin from AR in vitro assay
## 380 Ship Accidents
## 381 Cost for U.S. Airlines
## 382 Air Quality for Californian Metropolitan Areas
## 383 Countries in Banking Crises
## 384 Unemployment of Blue Collar Workers
## 385 Bids Received By U.S. Firms
## 386 Cyber Security Breaches
## 387 Budget Share of Food for Spanish Households
## 388 Budget Shares for Italian Households
## 389 Budget Shares of British Households
## 390 Wages in Belgium
## 391 Stock Market Data
## 392 Stated Preferences for Car Choice
## 393 The California Test Score Data Set
## 394 Choice of Brand for Catsup
## 395 Cigarette Consumption
## 396 The Cigarette Consumption Panel Data Set
## 397 Sales Data of Men's Fashion Stores
## 398 Prices of Personal Computers
## 399 Quarterly Data on Consumption and Expenditure
## 400 Earnings from the Current Population Survey
## 401 Choice of Brand for Crakers
## 402 Growth of CRAN
## 403 Crime in North Carolina
## 404 Daily Returns from the CRSP Database
## 405 Monthly Returns from the CRSP Database
## 406 Pricing the C's of Diamond Stones
## 407 DM Dollar Exchange Rate
## 408 Number of Doctor Visits
## 409 Doctor Visits in Australia
## 410 Contacts With Medical Doctor
## 411 Earnings for Three Age Groups
## 412 Cost Function for Electricity Producers
## 413 Extramarital Affairs Data
## 414 Drunk Driving Laws and Traffic Deaths
## 415 Choice of Fishing Mode
## 416 Exchange Rates of US Dollar Against Other Currencies
## 417 Data from the Television Game Show Friend Or Foe ?
## 418 Daily Observations on Exchange Rates of the US Dollar Against Other Currencies
## 419 Gasoline Consumption
## 420 Wage Datas
## 421 Grunfeld Investment Data
## 422 Heating and Cooling System Choice in Newly Built Houses in California
## 423 The Boston HMDA Data Set
## 424 Heating System Choice in California Houses
## 425 Hedonic Prices of Census Tracts in Boston
## 426 Cybersecurity breaches reported to the US Department of Health and Human Services
## 427 Health Insurance and Hours Worked By Wives
## 428 The Boston HMDA Data Set
## 429 Sales Prices of Houses in the City of Windsor
## 430 Housing Starts
## 431 Ice Cream Consumption
## 432 Global Terrorism Database yearly summaries
## 433 Income Inequality in the US
## 434 Seasonally Unadjusted Quarterly Data on Disposable Income and Expenditure
## 435 Monthly Interest Rates
## 436 Economic Journals Dat Set
## 437 Willingness to Pay for the Preservation of the Kakadu National Park
## 438 Choice of Brand for Ketchup
## 439 Klein's Model I
## 440 Wages and Hours Worked
## 441 Belgian Firms
## 442 The Longley Data
## 443 Dollar Sterling Exchange Rate
## 444 Macroeconomic Time Series for the United States
## 445 Wages and Education of Young Males
## 446 Manufacturing Costs
## 447 Level of Calculus Attained for Students Taking Advanced Micro-economics
## 448 The Massachusetts Test Score Data Set
## 449 Structure of Demand for Medical Care
## 450 Production for SIC 33
## 451 Inflation and Interest Rates
## 452 Mode Choice
## 453 Data to Study Travel Mode Choice
## 454 International Expansion of U.S. Mofa's (majority-owned Foreign Affiliates in Fire (finance, Insurance and Real Estate)
## 455 Money, GDP and Interest Rate in Canada
## 456 Macroeconomic Series for the United States
## 457 Money, National Product and Interest Rate
## 458 Labor Supply Data
## 459 Municipal Expenditure Data
## 460 Growth of Disposable Income and Treasury Bill Rate
## 461 Willingness to Pay for the Preservation of the Alentejo Natural Park
## 462 Cost Function for Electricity Producers, 1955
## 463 Global Terrorism Database yearly summaries
## 464 Names with Character Set Problems
## 465 Visits to Physician Office
## 466 Oil Investment
## 467 The Orange Juice Data Set
## 468 Labor Force Participation
## 469 Dynamic Relation Between Patents and R&D
## 470 Patents, R&D and Technological Spillovers for a Panel of Firms
## 471 Price and Earnings Index
## 472 Political knowledge in the US and Europe
## 473 Pound-dollar Exchange Rate
## 474 Exchange Rates and Price Indices for France and Italy
## 475 Returns of Size-based Portfolios
## 476 Us States Production
## 477 Panel Survey of Income Dynamics
## 478 Return to Schooling
## 479 Wages and Schooling
## 480 Solow's Technological Change Data
## 481 Visits to Lake Somerville
## 482 Returns on Standard & Poor's 500 Index
## 483 Effects on Learning of Small Class Sizes
## 484 Strike Duration Data
## 485 Strikes Duration
## 486 Number of Strikes in Us Manufacturing
## 487 The Penn Table
## 488 Interest Rate, GDP and Inflation
## 489 Global Terrorism Database yearly summaries
## 490 Households Tobacco Budget Share
## 491 Stated Preferences for Train Traveling
## 492 Statewide Data on Transportation Equipment Manufacturing
## 493 Evaluating Treatment Effect of Training on Earnings
## 494 Choice of Brand for Tuna
## 495 Unemployment Duration
## 496 Unemployment Duration
## 497 Provision of University Teaching and Research
## 498 Official Secrecy of the United States Government
## 499 US Finance Industry Profits
## 500 US GDP per capita with presidents and wars
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boxplot(subset_frame$RowCount, subset_frame$ColCount)
plot(x=subset_frame$RowCount, y=subset_frame$ColCount, xlab="Total Rows", ylab="Total Cols", main = "Correlation b/w Rows and Columns")
hist(subset_frame$TitleLength, xlab = "TitleLength", main="Histogram on length of title")
4. Meaningful question for analysis: Please state at the beginning a meaningful question for analysis. Use the first three steps and anything else that would be helpful to answer the question you are posing from the data set you chose. Please write a brief conclusion paragraph in R markdown at the end.
Is there any correlation b/w row and col count, and what is the maximum length usually titles are applied for the data sets??
As per the box and plot charts, the maximum column is within 70 and rowCount extends till 50000. And most of the datasets are very small data sets less than 10000 records. Most of the titles applied for the datasets are b/w 30 - 40 characters.