Search Available Datasets — rdsearch • Rdatasets

Search available datasets from the Rdatasets archive by regular expression.

Usage

rdsearch(
  pattern,
  field = NULL,
  fixed = FALSE,
  perl = FALSE,
  ignore.case = FALSE
)

Arguments

pattern: String. Search pattern. Can be a regular expression or literal string depending on the fixed argument.
field: String. Which field to search in. One of "package", "dataset", "title". If NULL (default), searches in all three fields.
fixed: logical. If TRUE, pattern is a string to be matched as is. Overrides all conflicting arguments.
perl: logical. Should Perl-compatible regexps be used?
ignore.case: logical. if FALSE, the pattern matching is case sensitive and if TRUE, case is ignored during matching.

Value

A data frame containing matching datasets with the following columns:

Package: Character. The name of the R package that contains the dataset
Dataset: Character. The name of the dataset
Title: Character. A descriptive title for the dataset
Rows: Integer. Number of rows in the dataset
Cols: Integer. Number of columns in the dataset
n_binary: Integer. Number of binary variables in the dataset
n_character: Integer. Number of character variables in the dataset
n_factor: Integer. Number of factor variables in the dataset
n_logical: Integer. Number of logical variables in the dataset
n_numeric: Integer. Number of numeric variables in the dataset
CSV: Character. URL to download the dataset in CSV format
Doc: Character. URL to the dataset's documentation

Global Options

The following global options control package behavior:

Rdatasets_cache: Logical
- Whether to cache downloaded data and index for faster subsequent access. Default: TRUE. Please keep this option TRUE as it makes repeated access faster and avoids overloading the Rdatasets server. Only set to FALSE if local memory is severely limited.
- Ex: `options(Rdatasets_cache = TRUE)“
Rdatasets_class: String
- Output class of the returned data. One of "data.frame" (default), "tibble", or "data.table". Default: "data.frame". Requires the respective packages to be installed for "tibble" or "data.table" formats.
- Ex: options(Rdatasets_class = "tibble")
Rdataset_path: String.
- Base URL for the Rdatasets archive. Default: "https://vincentarelbundock.github.io/Rdatasets/". Advanced users can set this to use a different mirror or local copy.
- Ex: options(Rdataset_path = "https://vincentarelbundock.github.io/Rdatasets/")

Examples

# Search all fields (default behavior)
rdsearch("iris")
#>       Package Dataset                      Title Rows Cols n_binary n_character
#> 1010 datasets    iris Edgar Anderson's Iris Data  150    5        0           0
#> 1011 datasets   iris3 Edgar Anderson's Iris Data   50   12        0           0
#>      n_factor n_logical n_numeric
#> 1010        1         0         4
#> 1011        0         0        12
#>                                                                        CSV
#> 1010  https://vincentarelbundock.github.io/Rdatasets/csv/datasets/iris.csv
#> 1011 https://vincentarelbundock.github.io/Rdatasets/csv/datasets/iris3.csv
#>                                                                         Doc
#> 1010  https://vincentarelbundock.github.io/Rdatasets/doc/datasets/iris.html
#> 1011 https://vincentarelbundock.github.io/Rdatasets/doc/datasets/iris3.html

# Case-insensitive search
rdsearch("(?i)titanic")
#>         Package         Dataset                                 Title Rows Cols
#> 698     carData TitanicSurvival Survival of Passengers on the Titanic 1309    4
#> 769  causaldata         titanic  Data from the sinking of the Titanic 2201    4
#> 803       COUNT         titanic                               titanic 1316    4
#> 804       COUNT      titanicgrp                            titanicgrp   12    5
#> 1057   datasets         Titanic Survival of passengers on the Titanic   32    5
#> 2918  Stat2Data         Titanic             Passengers on the Titanic 1313    6
#> 3274        vcd       Lifeboats              Lifeboats on the Titanic   18    8
#> 3330   vcdExtra        Titanicp             Passengers on the Titanic 1309    6
#>      n_binary n_character n_factor n_logical n_numeric
#> 698         2           0        3         0         1
#> 769         3           0        0         0         4
#> 803         3           0        4         0         0
#> 804         2           0        0         0         5
#> 1057        3           0        4         0         1
#> 2918        3           0        3         0         3
#> 3274        1           0        2         0         5
#> 3330        2           0        3         0         3
#>                                                                                 CSV
#> 698  https://vincentarelbundock.github.io/Rdatasets/csv/carData/TitanicSurvival.csv
#> 769       https://vincentarelbundock.github.io/Rdatasets/csv/causaldata/titanic.csv
#> 803            https://vincentarelbundock.github.io/Rdatasets/csv/COUNT/titanic.csv
#> 804         https://vincentarelbundock.github.io/Rdatasets/csv/COUNT/titanicgrp.csv
#> 1057        https://vincentarelbundock.github.io/Rdatasets/csv/datasets/Titanic.csv
#> 2918       https://vincentarelbundock.github.io/Rdatasets/csv/Stat2Data/Titanic.csv
#> 3274           https://vincentarelbundock.github.io/Rdatasets/csv/vcd/Lifeboats.csv
#> 3330       https://vincentarelbundock.github.io/Rdatasets/csv/vcdExtra/Titanicp.csv
#>                                                                                  Doc
#> 698  https://vincentarelbundock.github.io/Rdatasets/doc/carData/TitanicSurvival.html
#> 769       https://vincentarelbundock.github.io/Rdatasets/doc/causaldata/titanic.html
#> 803            https://vincentarelbundock.github.io/Rdatasets/doc/COUNT/titanic.html
#> 804         https://vincentarelbundock.github.io/Rdatasets/doc/COUNT/titanicgrp.html
#> 1057        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/Titanic.html
#> 2918       https://vincentarelbundock.github.io/Rdatasets/doc/Stat2Data/Titanic.html
#> 3274           https://vincentarelbundock.github.io/Rdatasets/doc/vcd/Lifeboats.html
#> 3330       https://vincentarelbundock.github.io/Rdatasets/doc/vcdExtra/Titanicp.html

# Search only in package names
rdsearch("datasets", field = "package")
#>            Package                      Dataset
#> 806  crimedatasets               Abilene_tbl_df
#> 807  crimedatasets              Attorney_tbl_df
#> 808  crimedatasets                    Boston_df
#> 809  crimedatasets             camden_crimes_df
#> 810  crimedatasets            corruption_tbl_df
#> 811  crimedatasets         crimeHSdegree_tbl_df
#> 812  crimedatasets        crimestatewide_tbl_df
#> 813  crimedatasets             crimOffenders_df
#> 814  crimedatasets                crimtab_table
#> 815  crimedatasets     CyberSecurityBreaches_df
#> 816  crimedatasets          DeathPenaltyRace_df
#> 817  crimedatasets              DrunkDST_tbl_df
#> 818  crimedatasets                  Fatality_df
#> 819  crimedatasets           FBICriminal_tbl_df
#> 820  crimedatasets                fraudulent_df
#> 821  crimedatasets                Gallup_tbl_df
#> 822  crimedatasets                   georgia_sf
#> 823  crimedatasets                 Hartnagel_df
#> 824  crimedatasets           hate_crimes_tbl_df
#> 825  crimedatasets           homicides15_tbl_df
#> 826  crimedatasets                Inmate_tbl_df
#> 827  crimedatasets               NCAdata_tbl_df
#> 828  crimedatasets              Ndrangheta_list
#> 829  crimedatasets          NigeriaTerrorism_df
#> 830  crimedatasets              NVCAdata_tbl_df
#> 831  crimedatasets                nz_murders_sf
#> 832  crimedatasets      police_shootings_tbl_df
#> 833  crimedatasets              rearrests_table
#> 834  crimedatasets              Sentence_tbl_df
#> 835  crimedatasets                sentencing_sf
#> 836  crimedatasets           Suicide_Germany_df
#> 837  crimedatasets        TerrorismGlobal_table
#> 838  crimedatasets                 uk_serial_df
#> 839  crimedatasets                 USArrests_df
#> 840  crimedatasets            USATerror_data_df
#> 841  crimedatasets                   UScrime_df
#> 842  crimedatasets          UScrimerates_tbl_df
#> 843  crimedatasets          USincarcerations_df
#> 844  crimedatasets            USJudgeRatings_df
#> 845  crimedatasets         vehiclethefts_tbl_df
#> 846  crimedatasets                  wmurders_ts
#> 972       datasets                  ability.cov
#> 973       datasets                     airmiles
#> 974       datasets                AirPassengers
#> 975       datasets                   airquality
#> 976       datasets                     anscombe
#> 977       datasets                       attenu
#> 978       datasets                     attitude
#> 979       datasets                      austres
#> 980       datasets            beaver1 (beavers)
#> 981       datasets            beaver2 (beavers)
#> 982       datasets                      BJsales
#> 983       datasets       BJsales.lead (BJsales)
#> 984       datasets                          BOD
#> 985       datasets                         cars
#> 986       datasets                  ChickWeight
#> 987       datasets                     chickwts
#> 988       datasets                          CO2
#> 989       datasets                          co2
#> 990       datasets                      crimtab
#> 991       datasets                  discoveries
#> 992       datasets                        DNase
#> 993       datasets                        esoph
#> 994       datasets                         euro
#> 995       datasets            euro.cross (euro)
#> 996       datasets                     eurodist
#> 997       datasets               EuStockMarkets
#> 998       datasets                     faithful
#> 999       datasets       fdeaths (UKLungDeaths)
#> 1000      datasets                 Formaldehyde
#> 1001      datasets                       freeny
#> 1002      datasets            freeny.x (freeny)
#> 1003      datasets            freeny.y (freeny)
#> 1004      datasets                 HairEyeColor
#> 1005      datasets                 Harman23.cor
#> 1006      datasets                 Harman74.cor
#> 1007      datasets                     Indometh
#> 1008      datasets                       infert
#> 1009      datasets                 InsectSprays
#> 1010      datasets                         iris
#> 1011      datasets                        iris3
#> 1012      datasets                      islands
#> 1013      datasets               JohnsonJohnson
#> 1014      datasets                    LakeHuron
#> 1015      datasets       ldeaths (UKLungDeaths)
#> 1016      datasets                           lh
#> 1017      datasets             LifeCycleSavings
#> 1018      datasets                     Loblolly
#> 1019      datasets                      longley
#> 1020      datasets                         lynx
#> 1021      datasets       mdeaths (UKLungDeaths)
#> 1022      datasets                       morley
#> 1023      datasets                       mtcars
#> 1024      datasets                       nhtemp
#> 1025      datasets                         Nile
#> 1026      datasets                       nottem
#> 1027      datasets                          npk
#> 1028      datasets           occupationalStatus
#> 1029      datasets                       Orange
#> 1030      datasets                OrchardSprays
#> 1031      datasets                  PlantGrowth
#> 1032      datasets                       precip
#> 1033      datasets                   presidents
#> 1034      datasets                     pressure
#> 1035      datasets                    Puromycin
#> 1036      datasets                       quakes
#> 1037      datasets                        randu
#> 1038      datasets                       rivers
#> 1039      datasets                         rock
#> 1040      datasets                    Seatbelts
#> 1041      datasets                        sleep
#> 1042      datasets       stack.loss (stackloss)
#> 1043      datasets          stack.x (stackloss)
#> 1044      datasets                    stackloss
#> 1045      datasets            state.abb (state)
#> 1046      datasets           state.area (state)
#> 1047      datasets         state.center (state)
#> 1048      datasets       state.division (state)
#> 1049      datasets           state.name (state)
#> 1050      datasets         state.region (state)
#> 1051      datasets            state.x77 (state)
#> 1052      datasets                sunspot.month
#> 1053      datasets                 sunspot.year
#> 1054      datasets                     sunspots
#> 1055      datasets                        swiss
#> 1056      datasets                       Theoph
#> 1057      datasets                      Titanic
#> 1058      datasets                  ToothGrowth
#> 1059      datasets                     treering
#> 1060      datasets                        trees
#> 1061      datasets                UCBAdmissions
#> 1062      datasets               UKDriverDeaths
#> 1063      datasets                        UKgas
#> 1064      datasets                  USAccDeaths
#> 1065      datasets                    USArrests
#> 1066      datasets                    UScitiesD
#> 1067      datasets               USJudgeRatings
#> 1068      datasets        USPersonalExpenditure
#> 1069      datasets                        uspop
#> 1070      datasets                     VADeaths
#> 1071      datasets                      volcano
#> 1072      datasets                   warpbreaks
#> 1073      datasets                        women
#> 1074      datasets                  WorldPhones
#> 1075      datasets                     WWWusage
#> 3192    usdatasets                 acs12_tbl_df
#> 3193    usdatasets            age_at_mar_tbl_df
#> 3194    usdatasets              airlines_tbl_df
#> 3195    usdatasets              airports_tbl_df
#> 3196    usdatasets                airquality_df
#> 3197    usdatasets                  ames_tbl_df
#> 3198    usdatasets                births_tbl_df
#> 3199    usdatasets              births14_tbl_df
#> 3200    usdatasets                    Boston_df
#> 3201    usdatasets                    Cars93_df
#> 3202    usdatasets                census_tbl_df
#> 3203    usdatasets          cia_factbook_tbl_df
#> 3204    usdatasets               cle_sac_tbl_df
#> 3205    usdatasets                county_tbl_df
#> 3206    usdatasets        env_regulation_tbl_df
#> 3207    usdatasets                  fcid_tbl_df
#> 3208    usdatasets                  goog_tbl_df
#> 3209    usdatasets             govrace10_tbl_df
#> 3210    usdatasets           homicides15_tbl_df
#> 3211    usdatasets                 house_tbl_df
#> 3212    usdatasets           houserace10_tbl_df
#> 3213    usdatasets           immigration_tbl_df
#> 3214    usdatasets              leg_mari_tbl_df
#> 3215    usdatasets              marathon_tbl_df
#> 3216    usdatasets              military_tbl_df
#> 3217    usdatasets                    minn38_df
#> 3218    usdatasets        mlb_players_18_tbl_df
#> 3219    usdatasets    mn_police_use_of_force_df
#> 3220    usdatasets        nba_players_19_tbl_df
#> 3221    usdatasets              ncbirths_tbl_df
#> 3222    usdatasets          nyc_marathon_tbl_df
#> 3223    usdatasets      nycvehiclethefts_tbl_df
#> 3224    usdatasets     offshore_drilling_tbl_df
#> 3225    usdatasets                orings_tbl_df
#> 3226    usdatasets                oscars_tbl_df
#> 3227    usdatasets                piracy_tbl_df
#> 3228    usdatasets               precip_numeric
#> 3229    usdatasets                presidents_ts
#> 3230    usdatasets              prrace08_tbl_df
#> 3231    usdatasets                      road_df
#> 3232    usdatasets          senaterace10_tbl_df
#> 3233    usdatasets       sp500_1950_2018_tbl_df
#> 3234    usdatasets                 sp500_tbl_df
#> 3235    usdatasets          state_abb_character
#> 3236    usdatasets           state_area_numeric
#> 3237    usdatasets            state_center_list
#> 3238    usdatasets        state_division_factor
#> 3239    usdatasets         state_name_character
#> 3240    usdatasets          state_region_factor
#> 3241    usdatasets             state_x77_matrix
#> 3242    usdatasets          UCBAdmissions_table
#> 3243    usdatasets   us_crime_rates_spec_tbl_df
#> 3244    usdatasets               us_temp_tbl_df
#> 3245    usdatasets        us_time_survey_tbl_df
#> 3246    usdatasets               USAccDeaths_ts
#> 3247    usdatasets                 USArrests_df
#> 3248    usdatasets               UScitiesD_dist
#> 3249    usdatasets            USJudgeRatings_df
#> 3250    usdatasets USPersonalExpenditure_matrix
#> 3251    usdatasets                     uspop_ts
#> 3252    usdatasets              VADeaths_matrix
#> 3253    usdatasets      voter_count_spec_tbl_df
#> 3254    usdatasets                     women_df
#>                                                                         Title
#> 806                                      Crime Records of Abilene, Texas, USA
#> 807                           Convictions Reported by U.S. Attorney's Offices
#> 808                                                       Boston Housing Data
#> 809                                       Crime Records of Camden Borough, UK
#> 810                                         China's Corruption Investigations
#> 811                                      US Crime Rates & High School Dropout
#> 812                                       Annual Crime Dataset of US Counties
#> 813                                    Criminal Offenders Screened in Florida
#> 814                                             Student's 3000 Criminals Data
#> 815                   Cybersecurity Breaches Reported to US Health Department
#> 816                                         Death Penalty and Race in Georgia
#> 817                          US Casualties: Drunk Driving, Suicide, Terrorism
#> 818                                     Drunk Driving Laws and Traffic Deaths
#> 819                                      FBI Criminal Background Check System
#> 820                                    Fraudulent Automobile Insurance Claims
#> 821                                   Gallup Marijuana Possession Poll (1980)
#> 822                                       Crime Records of Georgia State, USA
#> 823                              Canadian Crime Rates Time Series (1931–1968)
#> 824                                    US Hate Crimes & Socioeconomic Factors
#> 825                                        Homicides in Nine US Cities (2015)
#> 826                                              Type of Drug Offense by Race
#> 827                        Interim Dane Data with New Criminal Activity (NCA)
#> 828                                   Ndrangheta Mafia Covert Network Dataset
#> 829                                                    Nigeria Terrorism Data
#> 830                    Interim Data with New Violent Criminal Activity (NVCA)
#> 831                                      Murders in New Zealand (2004 - 2019)
#> 832                                               Fatal Police Shootings data
#> 833                                              Rearrests of Juvenile Felons
#> 834                 Sentences of 41 Prisoners Convicted of a Homicide Offense
#> 835               Florida State Prison Sentencing Counts by County, 1905-1910
#> 836                                                  Suicide Rates in Germany
#> 837                          Global Terrorism Database (GTD) Yearly Summaries
#> 838                                    Serial Killers of the UK (1828 - 2015)
#> 839                                           Violent Crime Rates by US State
#> 840                                Terrorism Incidents in the USA (1968-1974)
#> 841                           The Effect of Punishment Regimes on Crime Rates
#> 842                                                US Crime Rates (1960–2019)
#> 843                                             US Incarcerations 1925 Onward
#> 844                 Lawyers' Ratings of State Judges in the US Superior Court
#> 845                                            NYC Vehicle Thefts (2014-2017)
#> 846                          Annual Female Murder Rate in the USA (1950-2004)
#> 972                                            Ability and Intelligence Tests
#> 973                      Passenger Miles on Commercial US Airlines, 1937-1960
#> 974                               Monthly Airline Passenger Numbers 1949-1960
#> 975                                         New York Air Quality Measurements
#> 976               Anscombe's Quartet of 'Identical' Simple Linear Regressions
#> 977                                         The Joyner-Boore Attenuation Data
#> 978                                        The Chatterjee-Price Attitude Data
#> 979               Quarterly Time Series of the Number of Australian Residents
#> 980                                    Body Temperature Series of Two Beavers
#> 981                                    Body Temperature Series of Two Beavers
#> 982                                         Sales Data with Leading Indicator
#> 983                                         Sales Data with Leading Indicator
#> 984                                                 Biochemical Oxygen Demand
#> 985                                      Speed and Stopping Distances of Cars
#> 986                            Weight versus age of chicks on different diets
#> 987                                              Chicken Weights by Feed Type
#> 988                                     Carbon Dioxide Uptake in Grass Plants
#> 989                                   Mauna Loa Atmospheric CO2 Concentration
#> 990                                             Student's 3000 Criminals Data
#> 991                                   Yearly Numbers of Important Discoveries
#> 992                                                      Elisa assay of DNase
#> 993                                 Smoking, Alcohol and (O)esophageal Cancer
#> 994                                       Conversion Rates of Euro Currencies
#> 995                                       Conversion Rates of Euro Currencies
#> 996                   Distances Between European Cities and Between US Cities
#> 997           Daily Closing Prices of Major European Stock Indices, 1991-1998
#> 998                                                  Old Faithful Geyser Data
#> 999                               Monthly Deaths from Lung Diseases in the UK
#> 1000                                            Determination of Formaldehyde
#> 1001                                                    Freeny's Revenue Data
#> 1002                                                    Freeny's Revenue Data
#> 1003                                                    Freeny's Revenue Data
#> 1004                                Hair and Eye Color of Statistics Students
#> 1005                                                       Harman Example 2.3
#> 1006                                                       Harman Example 7.4
#> 1007                                         Pharmacokinetics of Indomethacin
#> 1008                       Infertility after Spontaneous and Induced Abortion
#> 1009                                           Effectiveness of Insect Sprays
#> 1010                                               Edgar Anderson's Iris Data
#> 1011                                               Edgar Anderson's Iris Data
#> 1012                                    Areas of the World's Major Landmasses
#> 1013                           Quarterly Earnings per Johnson & Johnson Share
#> 1014                                            Level of Lake Huron 1875-1972
#> 1015                              Monthly Deaths from Lung Diseases in the UK
#> 1016                                     Luteinizing Hormone in Blood Samples
#> 1017                                     Intercountry Life-Cycle Savings Data
#> 1018                                            Growth of Loblolly Pine Trees
#> 1019                                       Longley's Economic Regression Data
#> 1020                                 Annual Canadian Lynx trappings 1821-1934
#> 1021                              Monthly Deaths from Lung Diseases in the UK
#> 1022                                            Michelson Speed of Light Data
#> 1023                                               Motor Trend Car Road Tests
#> 1024                                 Average Yearly Temperatures in New Haven
#> 1025                                                   Flow of the River Nile
#> 1026                    Average Monthly Temperatures at Nottingham, 1920-1939
#> 1027                                   Classical N, P, K Factorial Experiment
#> 1028                            Occupational Status of Fathers and their Sons
#> 1029                                                   Growth of Orange Trees
#> 1030                                                Potency of Orchard Sprays
#> 1031                               Results from an Experiment on Plant Growth
#> 1032                                        Annual Precipitation in US Cities
#> 1033                              Quarterly Approval Ratings of US Presidents
#> 1034                   Vapor Pressure of Mercury as a Function of Temperature
#> 1035                               Reaction Velocity of an Enzymatic Reaction
#> 1036                                        Locations of Earthquakes off Fiji
#> 1037                         Random Numbers from Congruential Generator RANDU
#> 1038                                   Lengths of Major North American Rivers
#> 1039                                   Measurements on Petroleum Rock Samples
#> 1040                                 Road Casualties in Great Britain 1969-84
#> 1041                                                     Student's Sleep Data
#> 1042                                         Brownlee's Stack Loss Plant Data
#> 1043                                         Brownlee's Stack Loss Plant Data
#> 1044                                         Brownlee's Stack Loss Plant Data
#> 1045                                               US State Facts and Figures
#> 1046                                               US State Facts and Figures
#> 1047                                               US State Facts and Figures
#> 1048                                               US State Facts and Figures
#> 1049                                               US State Facts and Figures
#> 1050                                               US State Facts and Figures
#> 1051                                               US State Facts and Figures
#> 1052                             Monthly Sunspot Data, from 1749 to "Present"
#> 1053                                           Yearly Sunspot Data, 1700-1988
#> 1054                                       Monthly Sunspot Numbers, 1749-1983
#> 1055                 Swiss Fertility and Socioeconomic Indicators (1888) Data
#> 1056                                         Pharmacokinetics of Theophylline
#> 1057                                    Survival of passengers on the Titanic
#> 1058                   The Effect of Vitamin C on Tooth Growth in Guinea Pigs
#> 1059                                        Yearly Tree-Ring Data, -6000-1979
#> 1060                       Diameter, Height and Volume for Black Cherry Trees
#> 1061                                        Student Admissions at UC Berkeley
#> 1062                                 Road Casualties in Great Britain 1969-84
#> 1063                                             UK Quarterly Gas Consumption
#> 1064                                    Accidental Deaths in the US 1973-1978
#> 1065                                          Violent Crime Rates by US State
#> 1066                  Distances Between European Cities and Between US Cities
#> 1067                Lawyers' Ratings of State Judges in the US Superior Court
#> 1068                                                Personal Expenditure Data
#> 1069                                    Populations Recorded by the US Census
#> 1070                                           Death Rates in Virginia (1940)
#> 1071                Topographic Information on Auckland's Maunga Whau Volcano
#> 1072                              The Number of Breaks in Yarn during Weaving
#> 1073                           Average Heights and Weights for American Women
#> 1074                                                   The World's Telephones
#> 1075                                                Internet Usage per Minute
#> 3192                                           American Community Survey 2012
#> 3193                                 Age at first marriage of 5,534 US women.
#> 3194                    Airline names - U.S. Airlines Carrier Codes and Names
#> 3195                             Airport metadata - U.S. Airports Information
#> 3196                                        New York Air Quality Measurements
#> 3197                                             Housing prices in Ames, Iowa
#> 3198                                         North Carolina births, 100 cases
#> 3199                                                           US Births 2014
#> 3200                                      Housing Values in Suburbs of Boston
#> 3201                             Data from 93 Cars on Sale in the USA in 1993
#> 3202                                   Random sample of 2000 U.S. Census Data
#> 3203                                        CIA Factbook Details on Countries
#> 3204              Cleveland and Sacramento Demographic and Income Data (2000)
#> 3205                                                   United States Counties
#> 3206                       American Adults on Regulation and Renewable Energy
#> 3207         Summary of male heights from USDA Food Commodity Intake Database
#> 3208                                                        Google stock data
#> 3209                     Election results for 2010 Governor races in the U.S.
#> 3210                                         Homicides in nine cities in 2015
#> 3211                United States House of Representatives historical make-up
#> 3212         Election results for the 2010 U.S. House of Represenatives races
#> 3213                                        Poll on illegal workers in the US
#> 3214              Legalization of Marijuana Support in 2010 California Survey
#> 3215                                  New York City Marathon Times (outdated)
#> 3216                                                 US Military Demographics
#> 3217                                  Minnesota High School Graduates of 1938
#> 3218            Batter Statistics for 2018 Major League Baseball (MLB) Season
#> 3219                                    Minneapolis police use of force data.
#> 3220                                     NBA Players for the 2018-2019 season
#> 3221                                        North Carolina births, 1000 cases
#> 3222                                             New York City Marathon Times
#> 3223                                    Thefts of motor vehicles 2014 to 2017
#> 3224                     California poll on drilling off the California coast
#> 3225                                     1986 Challenger disaster and O-rings
#> 3226                                              Oscar winners, 1929 to 2018
#> 3227                                                     Piracy and PIPA/SOPA
#> 3228                                        Annual Precipitation in US Cities
#> 3229                              Quarterly Approval Ratings of US Presidents
#> 3230                     Election results for the 2008 U.S. Presidential race
#> 3231                                        Road Accident Deaths in US States
#> 3232                          Election results for the 2010 U.S. Senate races
#> 3233         Daily observations for the S&P 500 - Historical Data (1950-2018)
#> 3234                           Financial information for 50 S&P 500 companies
#> 3235                    US State Facts and Figures - U.S. State Abbreviations
#> 3236                              US State Facts and Figures - US State Areas
#> 3237                            US State Facts and Figures - US State Centers
#> 3238                          US State Facts and Figures - US State Divisions
#> 3239                              US State Facts and Figures - US State Names
#> 3240                            US State Facts and Figures - US State Regions
#> 3241 US State Facts and Figures - US State Demographics and Statistics (1977)
#> 3242                                        Student Admissions at UC Berkeley
#> 3243                                                           US Crime Rates
#> 3244                                                      US Temperature Data
#> 3245                                         American Time Survey 2009 - 2019
#> 3246                                    Accidental Deaths in the US 1973-1978
#> 3247                                          Violent Crime Rates by US State
#> 3248                  Distances Between European Cities and Between US Cities
#> 3249                Lawyers' Ratings of State Judges in the US Superior Court
#> 3250                                                Personal Expenditure Data
#> 3251                                    Populations Recorded by the US Census
#> 3252                                           Death Rates in Virginia (1940)
#> 3253                                                   US Voter Turnout Data.
#> 3254                           Average Heights and Weights for American Women
#>         Rows Cols n_binary n_character n_factor n_logical n_numeric
#> 806       16    3        1           1        1         0         1
#> 807       88    3        0           1        0         0         2
#> 808      506   14        1           0        0         0        14
#> 809     4578    4        1           1        0         0         2
#> 810       10    6        0           2        0         0         4
#> 811       51    3        0           1        0         0         2
#> 812       51    9        0           1        0         0         8
#> 813     5855   16        2           0        3         0        13
#> 814      924    3        0           0        2         0         1
#> 815     1151    9        1           2        4         1         1
#> 816       12    4        1           0        1         0         3
#> 817       49    5        0           0        0         0         5
#> 818      336   10        2           0        2         0         8
#> 819    11648   35        1           3        0         0        32
#> 820       42   12       11           0       10         0         2
#> 821     1200    2        0           0        2         0         0
#> 822      159   26        0           2        0         0        23
#> 823       38    8        0           0        0         0         8
#> 824       51   13        0           2        0         0        11
#> 825     1922   15        2           8        0         0         6
#> 826    28047    2        0           0        2         0         0
#> 827     1891   19       14           0        0         0        19
#> 828      146  149      146           2        0         0       147
#> 829      312    6        0           0        0         0         6
#> 830     1891   19       14           0        0         0        19
#> 831      967   12        1           7        1         0         2
#> 832     6421   12        4           8        0         2         1
#> 833        4    3        2           0        2         0         1
#> 834       41    1        0           0        0         0         1
#> 835       47    9        1           1        0         0         7
#> 836      306    6        1           0        4         0         2
#> 837    10200    3        0           0        2         0         1
#> 838       62    8        0           2        2         0         4
#> 839       50    4        0           0        0         0         4
#> 840        6    2        0           0        0         0         2
#> 841       47   16        1           0        0         0        16
#> 842       60   12        0           0        0         0        12
#> 843       95    7        0           0        0         0         7
#> 844       43   12        0           0        0         0        12
#> 845    35746    9        0           6        0         0         3
#> 846       55    2        0           0        0         0         2
#> 972        6    8        0           0        0         0         8
#> 973       24    2        0           0        0         0         2
#> 974      144    2        0           0        0         0         2
#> 975      153    6        0           0        0         0         6
#> 976       11    8        1           0        0         0         8
#> 977      182    5        0           0        1         0         4
#> 978       30    7        0           0        0         0         7
#> 979       89    2        0           0        0         0         2
#> 980      114    4        2           0        0         0         4
#> 981      100    4        2           0        0         0         4
#> 982      150    2        0           0        0         0         2
#> 983      150    2        0           0        0         0         2
#> 984        6    2        0           0        0         0         2
#> 985       50    2        0           0        0         0         2
#> 986      578    4        0           0        2         0         2
#> 987       71    2        0           0        1         0         1
#> 988       84    5        2           0        3         0         2
#> 989      468    2        0           0        0         0         2
#> 990      924    3        0           0        2         0         1
#> 991      100    2        0           0        0         0         2
#> 992      176    3        0           0        1         0         2
#> 993       88    5        0           0        3         0         2
#> 994       11    1        0           0        0         0         1
#> 995       11   11        0           0        0         0        11
#> 996      210    1        0           0        0         0         1
#> 997     1860    4        0           0        0         0         4
#> 998      272    2        0           0        0         0         2
#> 999       72    2        0           0        0         0         2
#> 1000       6    2        0           0        0         0         2
#> 1001      39    5        0           0        0         0         5
#> 1002      39    4        0           0        0         0         4
#> 1003      39    2        0           0        0         0         2
#> 1004      32    4        1           0        3         0         1
#> 1005       8   10        0           0        0         0        10
#> 1006      24   26        0           0        0         0        26
#> 1007      66    3        0           0        1         0         2
#> 1008     248    8        1           0        1         0         7
#> 1009      72    2        0           0        1         0         1
#> 1010     150    5        0           0        1         0         4
#> 1011      50   12        0           0        0         0        12
#> 1012      48    1        0           0        0         0         1
#> 1013      84    2        0           0        0         0         2
#> 1014      98    2        0           0        0         0         2
#> 1015      72    2        0           0        0         0         2
#> 1016      48    2        0           0        0         0         2
#> 1017      50    5        0           0        0         0         5
#> 1018      84    3        0           0        1         0         2
#> 1019      16    7        0           0        0         0         7
#> 1020     114    2        0           0        0         0         2
#> 1021      72    2        0           0        0         0         2
#> 1022     100    3        0           0        0         0         3
#> 1023      32   11        2           0        0         0        11
#> 1024      60    2        0           0        0         0         2
#> 1025     100    2        0           0        0         0         2
#> 1026     240    2        0           0        0         0         2
#> 1027      24    5        3           0        4         0         1
#> 1028      64    3        0           0        2         0         1
#> 1029      35    3        0           0        1         0         2
#> 1030      64    4        0           0        1         0         3
#> 1031      30    2        0           0        1         0         1
#> 1032      70    1        0           0        0         0         1
#> 1033     120    2        0           0        0         0         2
#> 1034      19    2        0           0        0         0         2
#> 1035      23    3        1           0        1         0         2
#> 1036    1000    5        0           0        0         0         5
#> 1037     400    3        0           0        0         0         3
#> 1038     141    1        0           0        0         0         1
#> 1039      48    4        0           0        0         0         4
#> 1040     192    8        1           0        0         0         8
#> 1041      20    3        1           0        2         0         1
#> 1042      21    1        0           0        0         0         1
#> 1043      21    3        0           0        0         0         3
#> 1044      21    4        0           0        0         0         4
#> 1045      50    1        0           1        0         0         0
#> 1046      50    1        0           0        0         0         1
#> 1047      50    2        0           0        0         0         2
#> 1048      50    1        0           0        1         0         0
#> 1049      50    1        0           1        0         0         0
#> 1050      50    1        0           0        1         0         0
#> 1051      50    8        0           0        0         0         8
#> 1052    3177    2        0           0        0         0         2
#> 1053     289    2        0           0        0         0         2
#> 1054    2820    2        0           0        0         0         2
#> 1055      47    6        0           0        0         0         6
#> 1056     132    5        0           0        1         0         4
#> 1057      32    5        3           0        4         0         1
#> 1058      60    3        1           0        1         0         2
#> 1059    7980    2        0           0        0         0         2
#> 1060      31    3        0           0        0         0         3
#> 1061      24    4        2           0        3         0         1
#> 1062     192    2        0           0        0         0         2
#> 1063     108    2        0           0        0         0         2
#> 1064      72    2        0           0        0         0         2
#> 1065      50    4        0           0        0         0         4
#> 1066      45    1        0           0        0         0         1
#> 1067      43   12        0           0        0         0        12
#> 1068       5    5        0           0        0         0         5
#> 1069      19    2        0           0        0         0         2
#> 1070       5    4        0           0        0         0         4
#> 1071      87   61        0           0        0         0        61
#> 1072      54    3        1           0        2         0         1
#> 1073      15    2        0           0        0         0         2
#> 1074       7    7        0           0        0         0         7
#> 1075     100    2        0           0        0         0         2
#> 3192    2000   13        5           0        9         0         4
#> 3193    5534    1        0           0        0         0         1
#> 3194      16    2        0           2        0         0         0
#> 3195    1458    8        0           4        0         0         4
#> 3196     153    6        0           0        0         0         6
#> 3197    2930   82        3           0       43         0        39
#> 3198     150    9        3           0        3         0         6
#> 3199    1000   13        7           7        0         0         6
#> 3200     506   14        1           0        0         0        14
#> 3201      54    6        0           0        2         0         4
#> 3202     500    8        1           0        4         0         4
#> 3203     259   11        0           0        1         0        10
#> 3204     500    8        3           3        2         0         3
#> 3205    3142   15        2           1        4         0        10
#> 3206     705    1        0           1        0         0         0
#> 3207     100    2        0           0        0         0         2
#> 3208      98    7        0           0        1         0         6
#> 3209      37   23        0          12        0         0        11
#> 3210    1922   15        2           8        0         0         6
#> 3211     116   12        0           2        0         0        10
#> 3212     435   24        1          12        0         0        12
#> 3213     910    2        0           0        2         0         0
#> 3214     119    1        1           0        1         0         0
#> 3215      59    3        1           0        1         0         2
#> 3216 1414593    6        2           0        4         1         1
#> 3217     168    5        1           0        4         0         1
#> 3218    1270   19        0           3        0         0        16
#> 3219   12925   13        2          12        0         0         1
#> 3220     494    7        0           6        0         0         1
#> 3221    1000   13        7           0        7         0         6
#> 3222     102    7        1           4        0         0         2
#> 3223   35746    9        0           6        0         0         3
#> 3224     828    2        0           0        2         0         0
#> 3225      23    4        0           0        0         0         4
#> 3226     184   11        1           4        0         0         6
#> 3227     534    8        1           1        4         0         3
#> 3228      70    1        0           0        0         0         1
#> 3229     120    2        0           0        0         0         2
#> 3230      51    7        0           0        2         0         5
#> 3231      26    6        0           0        0         0         6
#> 3232      38   23        4          12        0         0        11
#> 3233   17346    7        0           0        1         0         6
#> 3234      50   12        0           0        1         0        11
#> 3235      50    1        0           1        0         0         0
#> 3236      50    1        0           0        0         0         1
#> 3237      50    2        0           0        0         0         2
#> 3238      50    1        0           0        1         0         0
#> 3239      50    1        0           1        0         0         0
#> 3240      50    1        0           0        1         0         0
#> 3241      50    8        0           0        0         0         8
#> 3242      24    4        2           0        3         0         1
#> 3243      60   12        0           0        0         0        12
#> 3244   10118    9        1           2        1         0         5
#> 3245      11    8        0           0        0         0         8
#> 3246      72    2        0           0        0         0         2
#> 3247      50    4        0           0        0         0         4
#> 3248      45    1        0           0        0         0         1
#> 3249      43   12        0           0        0         0        12
#> 3250       5    5        0           0        0         0         5
#> 3251      19    2        0           0        0         0         2
#> 3252       5    4        0           0        0         0         4
#> 3253     936    7        0           1        0         0         6
#> 3254      15    2        0           0        0         0         2
#>                                                                                                 CSV
#> 806             https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/Abilene_tbl_df.csv
#> 807            https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/Attorney_tbl_df.csv
#> 808                  https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/Boston_df.csv
#> 809           https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/camden_crimes_df.csv
#> 810          https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/corruption_tbl_df.csv
#> 811       https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/crimeHSdegree_tbl_df.csv
#> 812      https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/crimestatewide_tbl_df.csv
#> 813           https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/crimOffenders_df.csv
#> 814              https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/crimtab_table.csv
#> 815   https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/CyberSecurityBreaches_df.csv
#> 816        https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/DeathPenaltyRace_df.csv
#> 817            https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/DrunkDST_tbl_df.csv
#> 818                https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/Fatality_df.csv
#> 819         https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/FBICriminal_tbl_df.csv
#> 820              https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/fraudulent_df.csv
#> 821              https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/Gallup_tbl_df.csv
#> 822                 https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/georgia_sf.csv
#> 823               https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/Hartnagel_df.csv
#> 824         https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/hate_crimes_tbl_df.csv
#> 825         https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/homicides15_tbl_df.csv
#> 826              https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/Inmate_tbl_df.csv
#> 827             https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/NCAdata_tbl_df.csv
#> 828            https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/Ndrangheta_list.csv
#> 829        https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/NigeriaTerrorism_df.csv
#> 830            https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/NVCAdata_tbl_df.csv
#> 831              https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/nz_murders_sf.csv
#> 832    https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/police_shootings_tbl_df.csv
#> 833            https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/rearrests_table.csv
#> 834            https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/Sentence_tbl_df.csv
#> 835              https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/sentencing_sf.csv
#> 836         https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/Suicide_Germany_df.csv
#> 837      https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/TerrorismGlobal_table.csv
#> 838               https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/uk_serial_df.csv
#> 839               https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/USArrests_df.csv
#> 840          https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/USATerror_data_df.csv
#> 841                 https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/UScrime_df.csv
#> 842        https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/UScrimerates_tbl_df.csv
#> 843        https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/USincarcerations_df.csv
#> 844          https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/USJudgeRatings_df.csv
#> 845       https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/vehiclethefts_tbl_df.csv
#> 846                https://vincentarelbundock.github.io/Rdatasets/csv/crimedatasets/wmurders_ts.csv
#> 972                     https://vincentarelbundock.github.io/Rdatasets/csv/datasets/ability.cov.csv
#> 973                        https://vincentarelbundock.github.io/Rdatasets/csv/datasets/airmiles.csv
#> 974                   https://vincentarelbundock.github.io/Rdatasets/csv/datasets/AirPassengers.csv
#> 975                      https://vincentarelbundock.github.io/Rdatasets/csv/datasets/airquality.csv
#> 976                        https://vincentarelbundock.github.io/Rdatasets/csv/datasets/anscombe.csv
#> 977                          https://vincentarelbundock.github.io/Rdatasets/csv/datasets/attenu.csv
#> 978                        https://vincentarelbundock.github.io/Rdatasets/csv/datasets/attitude.csv
#> 979                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/austres.csv
#> 980                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/beaver1.csv
#> 981                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/beaver2.csv
#> 982                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/BJsales.csv
#> 983                    https://vincentarelbundock.github.io/Rdatasets/csv/datasets/BJsales.lead.csv
#> 984                             https://vincentarelbundock.github.io/Rdatasets/csv/datasets/BOD.csv
#> 985                            https://vincentarelbundock.github.io/Rdatasets/csv/datasets/cars.csv
#> 986                     https://vincentarelbundock.github.io/Rdatasets/csv/datasets/ChickWeight.csv
#> 987                        https://vincentarelbundock.github.io/Rdatasets/csv/datasets/chickwts.csv
#> 988                             https://vincentarelbundock.github.io/Rdatasets/csv/datasets/CO2.csv
#> 989                             https://vincentarelbundock.github.io/Rdatasets/csv/datasets/co2.csv
#> 990                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/crimtab.csv
#> 991                     https://vincentarelbundock.github.io/Rdatasets/csv/datasets/discoveries.csv
#> 992                           https://vincentarelbundock.github.io/Rdatasets/csv/datasets/DNase.csv
#> 993                           https://vincentarelbundock.github.io/Rdatasets/csv/datasets/esoph.csv
#> 994                            https://vincentarelbundock.github.io/Rdatasets/csv/datasets/euro.csv
#> 995                      https://vincentarelbundock.github.io/Rdatasets/csv/datasets/euro.cross.csv
#> 996                        https://vincentarelbundock.github.io/Rdatasets/csv/datasets/eurodist.csv
#> 997                  https://vincentarelbundock.github.io/Rdatasets/csv/datasets/EuStockMarkets.csv
#> 998                        https://vincentarelbundock.github.io/Rdatasets/csv/datasets/faithful.csv
#> 999                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/fdeaths.csv
#> 1000                   https://vincentarelbundock.github.io/Rdatasets/csv/datasets/Formaldehyde.csv
#> 1001                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/freeny.csv
#> 1002                       https://vincentarelbundock.github.io/Rdatasets/csv/datasets/freeny.x.csv
#> 1003                       https://vincentarelbundock.github.io/Rdatasets/csv/datasets/freeny.y.csv
#> 1004                   https://vincentarelbundock.github.io/Rdatasets/csv/datasets/HairEyeColor.csv
#> 1005                   https://vincentarelbundock.github.io/Rdatasets/csv/datasets/Harman23.cor.csv
#> 1006                   https://vincentarelbundock.github.io/Rdatasets/csv/datasets/Harman74.cor.csv
#> 1007                       https://vincentarelbundock.github.io/Rdatasets/csv/datasets/Indometh.csv
#> 1008                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/infert.csv
#> 1009                   https://vincentarelbundock.github.io/Rdatasets/csv/datasets/InsectSprays.csv
#> 1010                           https://vincentarelbundock.github.io/Rdatasets/csv/datasets/iris.csv
#> 1011                          https://vincentarelbundock.github.io/Rdatasets/csv/datasets/iris3.csv
#> 1012                        https://vincentarelbundock.github.io/Rdatasets/csv/datasets/islands.csv
#> 1013                 https://vincentarelbundock.github.io/Rdatasets/csv/datasets/JohnsonJohnson.csv
#> 1014                      https://vincentarelbundock.github.io/Rdatasets/csv/datasets/LakeHuron.csv
#> 1015                        https://vincentarelbundock.github.io/Rdatasets/csv/datasets/ldeaths.csv
#> 1016                             https://vincentarelbundock.github.io/Rdatasets/csv/datasets/lh.csv
#> 1017               https://vincentarelbundock.github.io/Rdatasets/csv/datasets/LifeCycleSavings.csv
#> 1018                       https://vincentarelbundock.github.io/Rdatasets/csv/datasets/Loblolly.csv
#> 1019                        https://vincentarelbundock.github.io/Rdatasets/csv/datasets/longley.csv
#> 1020                           https://vincentarelbundock.github.io/Rdatasets/csv/datasets/lynx.csv
#> 1021                        https://vincentarelbundock.github.io/Rdatasets/csv/datasets/mdeaths.csv
#> 1022                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/morley.csv
#> 1023                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/mtcars.csv
#> 1024                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/nhtemp.csv
#> 1025                           https://vincentarelbundock.github.io/Rdatasets/csv/datasets/Nile.csv
#> 1026                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/nottem.csv
#> 1027                            https://vincentarelbundock.github.io/Rdatasets/csv/datasets/npk.csv
#> 1028             https://vincentarelbundock.github.io/Rdatasets/csv/datasets/occupationalStatus.csv
#> 1029                         https://vincentarelbundock.github.io/Rdatasets/csv/datasets/Orange.csv
#> 1030                  https://vincentarelbundock.github.io/Rdatasets/csv/datasets/OrchardSprays.csv
#> 1031                    https://vincentarelbundock.github.io/Rdatasets/csv/datasets/PlantGrowth.csv
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#> 3223      https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/nycvehiclethefts_tbl_df.csv
#> 3224     https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/offshore_drilling_tbl_df.csv
#> 3225                https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/orings_tbl_df.csv
#> 3226                https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/oscars_tbl_df.csv
#> 3227                https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/piracy_tbl_df.csv
#> 3228               https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/precip_numeric.csv
#> 3229                https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/presidents_ts.csv
#> 3230              https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/prrace08_tbl_df.csv
#> 3231                      https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/road_df.csv
#> 3232          https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/senaterace10_tbl_df.csv
#> 3233       https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/sp500_1950_2018_tbl_df.csv
#> 3234                 https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/sp500_tbl_df.csv
#> 3235          https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/state_abb_character.csv
#> 3236           https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/state_area_numeric.csv
#> 3237            https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/state_center_list.csv
#> 3238        https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/state_division_factor.csv
#> 3239         https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/state_name_character.csv
#> 3240          https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/state_region_factor.csv
#> 3241             https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/state_x77_matrix.csv
#> 3242          https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/UCBAdmissions_table.csv
#> 3243   https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/us_crime_rates_spec_tbl_df.csv
#> 3244               https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/us_temp_tbl_df.csv
#> 3245        https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/us_time_survey_tbl_df.csv
#> 3246               https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/USAccDeaths_ts.csv
#> 3247                 https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/USArrests_df.csv
#> 3248               https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/UScitiesD_dist.csv
#> 3249            https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/USJudgeRatings_df.csv
#> 3250 https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/USPersonalExpenditure_matrix.csv
#> 3251                     https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/uspop_ts.csv
#> 3252              https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/VADeaths_matrix.csv
#> 3253      https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/voter_count_spec_tbl_df.csv
#> 3254                     https://vincentarelbundock.github.io/Rdatasets/csv/usdatasets/women_df.csv
#>                                                                                                  Doc
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#> 807            https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/Attorney_tbl_df.html
#> 808                  https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/Boston_df.html
#> 809           https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/camden_crimes_df.html
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#> 811       https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/crimeHSdegree_tbl_df.html
#> 812      https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/crimestatewide_tbl_df.html
#> 813           https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/crimOffenders_df.html
#> 814              https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/crimtab_table.html
#> 815   https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/CyberSecurityBreaches_df.html
#> 816        https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/DeathPenaltyRace_df.html
#> 817            https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/DrunkDST_tbl_df.html
#> 818                https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/Fatality_df.html
#> 819         https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/FBICriminal_tbl_df.html
#> 820              https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/fraudulent_df.html
#> 821              https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/Gallup_tbl_df.html
#> 822                 https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/georgia_sf.html
#> 823               https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/Hartnagel_df.html
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#> 826              https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/Inmate_tbl_df.html
#> 827             https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/NCAdata_tbl_df.html
#> 828            https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/Ndrangheta_list.html
#> 829        https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/NigeriaTerrorism_df.html
#> 830            https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/NVCAdata_tbl_df.html
#> 831              https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/nz_murders_sf.html
#> 832    https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/police_shootings_tbl_df.html
#> 833            https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/rearrests_table.html
#> 834            https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/Sentence_tbl_df.html
#> 835              https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/sentencing_sf.html
#> 836         https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/Suicide_Germany_df.html
#> 837      https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/TerrorismGlobal_table.html
#> 838               https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/uk_serial_df.html
#> 839               https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/USArrests_df.html
#> 840          https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/USATerror_data_df.html
#> 841                 https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/UScrime_df.html
#> 842        https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/UScrimerates_tbl_df.html
#> 843        https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/USincarcerations_df.html
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#> 845       https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/vehiclethefts_tbl_df.html
#> 846                https://vincentarelbundock.github.io/Rdatasets/doc/crimedatasets/wmurders_ts.html
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#> 973                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/airmiles.html
#> 974                   https://vincentarelbundock.github.io/Rdatasets/doc/datasets/AirPassengers.html
#> 975                      https://vincentarelbundock.github.io/Rdatasets/doc/datasets/airquality.html
#> 976                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/anscombe.html
#> 977                          https://vincentarelbundock.github.io/Rdatasets/doc/datasets/attenu.html
#> 978                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/attitude.html
#> 979                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/austres.html
#> 980                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/beaver1.html
#> 981                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/beaver2.html
#> 982                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/BJsales.html
#> 983                    https://vincentarelbundock.github.io/Rdatasets/doc/datasets/BJsales.lead.html
#> 984                             https://vincentarelbundock.github.io/Rdatasets/doc/datasets/BOD.html
#> 985                            https://vincentarelbundock.github.io/Rdatasets/doc/datasets/cars.html
#> 986                     https://vincentarelbundock.github.io/Rdatasets/doc/datasets/ChickWeight.html
#> 987                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/chickwts.html
#> 988                             https://vincentarelbundock.github.io/Rdatasets/doc/datasets/CO2.html
#> 989                             https://vincentarelbundock.github.io/Rdatasets/doc/datasets/co2.html
#> 990                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/crimtab.html
#> 991                     https://vincentarelbundock.github.io/Rdatasets/doc/datasets/discoveries.html
#> 992                           https://vincentarelbundock.github.io/Rdatasets/doc/datasets/DNase.html
#> 993                           https://vincentarelbundock.github.io/Rdatasets/doc/datasets/esoph.html
#> 994                            https://vincentarelbundock.github.io/Rdatasets/doc/datasets/euro.html
#> 995                      https://vincentarelbundock.github.io/Rdatasets/doc/datasets/euro.cross.html
#> 996                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/eurodist.html
#> 997                  https://vincentarelbundock.github.io/Rdatasets/doc/datasets/EuStockMarkets.html
#> 998                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/faithful.html
#> 999                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/fdeaths.html
#> 1000                   https://vincentarelbundock.github.io/Rdatasets/doc/datasets/Formaldehyde.html
#> 1001                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/freeny.html
#> 1002                       https://vincentarelbundock.github.io/Rdatasets/doc/datasets/freeny.x.html
#> 1003                       https://vincentarelbundock.github.io/Rdatasets/doc/datasets/freeny.y.html
#> 1004                   https://vincentarelbundock.github.io/Rdatasets/doc/datasets/HairEyeColor.html
#> 1005                   https://vincentarelbundock.github.io/Rdatasets/doc/datasets/Harman23.cor.html
#> 1006                   https://vincentarelbundock.github.io/Rdatasets/doc/datasets/Harman74.cor.html
#> 1007                       https://vincentarelbundock.github.io/Rdatasets/doc/datasets/Indometh.html
#> 1008                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/infert.html
#> 1009                   https://vincentarelbundock.github.io/Rdatasets/doc/datasets/InsectSprays.html
#> 1010                           https://vincentarelbundock.github.io/Rdatasets/doc/datasets/iris.html
#> 1011                          https://vincentarelbundock.github.io/Rdatasets/doc/datasets/iris3.html
#> 1012                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/islands.html
#> 1013                 https://vincentarelbundock.github.io/Rdatasets/doc/datasets/JohnsonJohnson.html
#> 1014                      https://vincentarelbundock.github.io/Rdatasets/doc/datasets/LakeHuron.html
#> 1015                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/ldeaths.html
#> 1016                             https://vincentarelbundock.github.io/Rdatasets/doc/datasets/lh.html
#> 1017               https://vincentarelbundock.github.io/Rdatasets/doc/datasets/LifeCycleSavings.html
#> 1018                       https://vincentarelbundock.github.io/Rdatasets/doc/datasets/Loblolly.html
#> 1019                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/longley.html
#> 1020                           https://vincentarelbundock.github.io/Rdatasets/doc/datasets/lynx.html
#> 1021                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/mdeaths.html
#> 1022                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/morley.html
#> 1023                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/mtcars.html
#> 1024                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/nhtemp.html
#> 1025                           https://vincentarelbundock.github.io/Rdatasets/doc/datasets/Nile.html
#> 1026                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/nottem.html
#> 1027                            https://vincentarelbundock.github.io/Rdatasets/doc/datasets/npk.html
#> 1028             https://vincentarelbundock.github.io/Rdatasets/doc/datasets/occupationalStatus.html
#> 1029                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/Orange.html
#> 1030                  https://vincentarelbundock.github.io/Rdatasets/doc/datasets/OrchardSprays.html
#> 1031                    https://vincentarelbundock.github.io/Rdatasets/doc/datasets/PlantGrowth.html
#> 1032                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/precip.html
#> 1033                     https://vincentarelbundock.github.io/Rdatasets/doc/datasets/presidents.html
#> 1034                       https://vincentarelbundock.github.io/Rdatasets/doc/datasets/pressure.html
#> 1035                      https://vincentarelbundock.github.io/Rdatasets/doc/datasets/Puromycin.html
#> 1036                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/quakes.html
#> 1037                          https://vincentarelbundock.github.io/Rdatasets/doc/datasets/randu.html
#> 1038                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/rivers.html
#> 1039                           https://vincentarelbundock.github.io/Rdatasets/doc/datasets/rock.html
#> 1040                      https://vincentarelbundock.github.io/Rdatasets/doc/datasets/Seatbelts.html
#> 1041                          https://vincentarelbundock.github.io/Rdatasets/doc/datasets/sleep.html
#> 1042                     https://vincentarelbundock.github.io/Rdatasets/doc/datasets/stack.loss.html
#> 1043                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/stack.x.html
#> 1044                      https://vincentarelbundock.github.io/Rdatasets/doc/datasets/stackloss.html
#> 1045                      https://vincentarelbundock.github.io/Rdatasets/doc/datasets/state.abb.html
#> 1046                     https://vincentarelbundock.github.io/Rdatasets/doc/datasets/state.area.html
#> 1047                   https://vincentarelbundock.github.io/Rdatasets/doc/datasets/state.center.html
#> 1048                 https://vincentarelbundock.github.io/Rdatasets/doc/datasets/state.division.html
#> 1049                     https://vincentarelbundock.github.io/Rdatasets/doc/datasets/state.name.html
#> 1050                   https://vincentarelbundock.github.io/Rdatasets/doc/datasets/state.region.html
#> 1051                      https://vincentarelbundock.github.io/Rdatasets/doc/datasets/state.x77.html
#> 1052                  https://vincentarelbundock.github.io/Rdatasets/doc/datasets/sunspot.month.html
#> 1053                   https://vincentarelbundock.github.io/Rdatasets/doc/datasets/sunspot.year.html
#> 1054                       https://vincentarelbundock.github.io/Rdatasets/doc/datasets/sunspots.html
#> 1055                          https://vincentarelbundock.github.io/Rdatasets/doc/datasets/swiss.html
#> 1056                         https://vincentarelbundock.github.io/Rdatasets/doc/datasets/Theoph.html
#> 1057                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/Titanic.html
#> 1058                    https://vincentarelbundock.github.io/Rdatasets/doc/datasets/ToothGrowth.html
#> 1059                       https://vincentarelbundock.github.io/Rdatasets/doc/datasets/treering.html
#> 1060                          https://vincentarelbundock.github.io/Rdatasets/doc/datasets/trees.html
#> 1061                  https://vincentarelbundock.github.io/Rdatasets/doc/datasets/UCBAdmissions.html
#> 1062                 https://vincentarelbundock.github.io/Rdatasets/doc/datasets/UKDriverDeaths.html
#> 1063                          https://vincentarelbundock.github.io/Rdatasets/doc/datasets/UKgas.html
#> 1064                    https://vincentarelbundock.github.io/Rdatasets/doc/datasets/USAccDeaths.html
#> 1065                      https://vincentarelbundock.github.io/Rdatasets/doc/datasets/USArrests.html
#> 1066                      https://vincentarelbundock.github.io/Rdatasets/doc/datasets/UScitiesD.html
#> 1067                 https://vincentarelbundock.github.io/Rdatasets/doc/datasets/USJudgeRatings.html
#> 1068          https://vincentarelbundock.github.io/Rdatasets/doc/datasets/USPersonalExpenditure.html
#> 1069                          https://vincentarelbundock.github.io/Rdatasets/doc/datasets/uspop.html
#> 1070                       https://vincentarelbundock.github.io/Rdatasets/doc/datasets/VADeaths.html
#> 1071                        https://vincentarelbundock.github.io/Rdatasets/doc/datasets/volcano.html
#> 1072                     https://vincentarelbundock.github.io/Rdatasets/doc/datasets/warpbreaks.html
#> 1073                          https://vincentarelbundock.github.io/Rdatasets/doc/datasets/women.html
#> 1074                    https://vincentarelbundock.github.io/Rdatasets/doc/datasets/WorldPhones.html
#> 1075                       https://vincentarelbundock.github.io/Rdatasets/doc/datasets/WWWusage.html
#> 3192                 https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/acs12_tbl_df.html
#> 3193            https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/age_at_mar_tbl_df.html
#> 3194              https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/airlines_tbl_df.html
#> 3195              https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/airports_tbl_df.html
#> 3196                https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/airquality_df.html
#> 3197                  https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/ames_tbl_df.html
#> 3198                https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/births_tbl_df.html
#> 3199              https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/births14_tbl_df.html
#> 3200                    https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/Boston_df.html
#> 3201                    https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/Cars93_df.html
#> 3202                https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/census_tbl_df.html
#> 3203          https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/cia_factbook_tbl_df.html
#> 3204               https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/cle_sac_tbl_df.html
#> 3205                https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/county_tbl_df.html
#> 3206        https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/env_regulation_tbl_df.html
#> 3207                  https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/fcid_tbl_df.html
#> 3208                  https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/goog_tbl_df.html
#> 3209             https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/govrace10_tbl_df.html
#> 3210           https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/homicides15_tbl_df.html
#> 3211                 https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/house_tbl_df.html
#> 3212           https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/houserace10_tbl_df.html
#> 3213           https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/immigration_tbl_df.html
#> 3214              https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/leg_mari_tbl_df.html
#> 3215              https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/marathon_tbl_df.html
#> 3216              https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/military_tbl_df.html
#> 3217                    https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/minn38_df.html
#> 3218        https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/mlb_players_18_tbl_df.html
#> 3219    https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/mn_police_use_of_force_df.html
#> 3220        https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/nba_players_19_tbl_df.html
#> 3221              https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/ncbirths_tbl_df.html
#> 3222          https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/nyc_marathon_tbl_df.html
#> 3223      https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/nycvehiclethefts_tbl_df.html
#> 3224     https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/offshore_drilling_tbl_df.html
#> 3225                https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/orings_tbl_df.html
#> 3226                https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/oscars_tbl_df.html
#> 3227                https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/piracy_tbl_df.html
#> 3228               https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/precip_numeric.html
#> 3229                https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/presidents_ts.html
#> 3230              https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/prrace08_tbl_df.html
#> 3231                      https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/road_df.html
#> 3232          https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/senaterace10_tbl_df.html
#> 3233       https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/sp500_1950_2018_tbl_df.html
#> 3234                 https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/sp500_tbl_df.html
#> 3235          https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/state_abb_character.html
#> 3236           https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/state_area_numeric.html
#> 3237            https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/state_center_list.html
#> 3238        https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/state_division_factor.html
#> 3239         https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/state_name_character.html
#> 3240          https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/state_region_factor.html
#> 3241             https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/state_x77_matrix.html
#> 3242          https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/UCBAdmissions_table.html
#> 3243   https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/us_crime_rates_spec_tbl_df.html
#> 3244               https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/us_temp_tbl_df.html
#> 3245        https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/us_time_survey_tbl_df.html
#> 3246               https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/USAccDeaths_ts.html
#> 3247                 https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/USArrests_df.html
#> 3248               https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/UScitiesD_dist.html
#> 3249            https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/USJudgeRatings_df.html
#> 3250 https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/USPersonalExpenditure_matrix.html
#> 3251                     https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/uspop_ts.html
#> 3252              https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/VADeaths_matrix.html
#> 3253      https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/voter_count_spec_tbl_df.html
#> 3254                     https://vincentarelbundock.github.io/Rdatasets/doc/usdatasets/women_df.html

# Search only in dataset names
rdsearch("iris", field = "dataset")
#>       Package Dataset                      Title Rows Cols n_binary n_character
#> 1010 datasets    iris Edgar Anderson's Iris Data  150    5        0           0
#> 1011 datasets   iris3 Edgar Anderson's Iris Data   50   12        0           0
#>      n_factor n_logical n_numeric
#> 1010        1         0         4
#> 1011        0         0        12
#>                                                                        CSV
#> 1010  https://vincentarelbundock.github.io/Rdatasets/csv/datasets/iris.csv
#> 1011 https://vincentarelbundock.github.io/Rdatasets/csv/datasets/iris3.csv
#>                                                                         Doc
#> 1010  https://vincentarelbundock.github.io/Rdatasets/doc/datasets/iris.html
#> 1011 https://vincentarelbundock.github.io/Rdatasets/doc/datasets/iris3.html

# Search only in titles
rdsearch("Edgar Anderson", field = "title")
#>       Package Dataset                      Title Rows Cols n_binary n_character
#> 1010 datasets    iris Edgar Anderson's Iris Data  150    5        0           0
#> 1011 datasets   iris3 Edgar Anderson's Iris Data   50   12        0           0
#>      n_factor n_logical n_numeric
#> 1010        1         0         4
#> 1011        0         0        12
#>                                                                        CSV
#> 1010  https://vincentarelbundock.github.io/Rdatasets/csv/datasets/iris.csv
#> 1011 https://vincentarelbundock.github.io/Rdatasets/csv/datasets/iris3.csv
#>                                                                         Doc
#> 1010  https://vincentarelbundock.github.io/Rdatasets/doc/datasets/iris.html
#> 1011 https://vincentarelbundock.github.io/Rdatasets/doc/datasets/iris3.html