1. dkstat::tables
    Cached list of all available tables
    csv| xlsx| json| ndjson| rda| rds
    data.frame|2339 x 8
  2. eurostat::ea_countries
    Countries and Country Codes
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|19 x 3
  3. eurostat::efta_countries
    Countries and Country Codes
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|4 x 3
  4. eurostat::eu_candidate_countries
    Countries and Country Codes
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|7 x 3
  5. eurostat::eu_countries
    Countries and Country Codes
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|27 x 3
  6. eurostat::eurostat_geodata_60_2016
    Geospatial data of Europe from GISCO in 1:60 million scale from year 2016
    json| ndjson| rda| rds
    sf|2016 x 12
  7. eurostat::tgs00026
    Auxiliary Data
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|2723 x 6
  8. finna::fennica_subset
    Fennica Subset Data
    csv| xlsx| json| ndjson| rda| rds
    spec_tbl_df|312 x 6
  9. geodk::municipalities
    Danish municipalities
    json| ndjson| rda| rds
    sf|99 x 9
  10. geodk::regions
    Danish regions
    json| ndjson| rda| rds
    sf|5 x 8
  11. geofi::grid_ahvenanmaa
    custom geofacet grid for Ahvenanmaa region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|16 x 4
  12. geofi::grid_etela_karjala
    custom geofacet grid for Etelä-Karjala region as in 2020
    csv| xlsx| json| ndjson| rda| rds
    data.frame|9 x 4
  13. geofi::grid_etela_pohjanmaa
    custom geofacet grid for Etelä-Pohjanmaa
    csv| xlsx| json| ndjson| rda| rds
    data.frame|18 x 4
  14. geofi::grid_etela_savo
    custom geofacet grid for Etelä-Savo
    csv| xlsx| json| ndjson| rda| rds
    data.frame|11 x 4
  15. geofi::grid_hyvinvointialue
    custom geofacet grid for Wellbeing services counties
    csv| xlsx| json| ndjson| rda| rds
    data.frame|23 x 4
  16. geofi::grid_kainuu
    custom geofacet grid for Kainuu region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|8 x 4
  17. geofi::grid_kanta_hame
    custom geofacet grid for Kanta-Häme region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|11 x 4
  18. geofi::grid_keski_pohjanmaa
    custom geofacet grid for Keski-Pohjanmaa region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|8 x 4
  19. geofi::grid_keski_suomi
    custom geofacet grid for Keski-Suomi region as in 2020
    csv| xlsx| json| ndjson| rda| rds
    data.frame|22 x 4
  20. geofi::grid_kymenlaakso
    custom geofacet grid for Kymenlaakso region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|6 x 4
  21. geofi::grid_lappi
    custom geofacet grid for Lappi region as in 2020
    csv| xlsx| json| ndjson| rda| rds
    data.frame|21 x 4
  22. geofi::grid_maakunta
    custom geofacet grid for regions
    csv| xlsx| json| ndjson| rda| rds
    data.frame|19 x 4
  23. geofi::grid_paijat_hame
    custom geofacet grid for Päijät-Häme region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|10 x 4
  24. geofi::grid_pirkanmaa
    custom geofacet grid for Pirkanmaa region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|23 x 4
  25. geofi::grid_pohjanmaa
    custom geofacet grid for Pohjanmaa region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|14 x 4
  26. geofi::grid_pohjois_karjala
    custom geofacet grid for Pohjois-Karjala region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|13 x 4
  27. geofi::grid_pohjois_pohjanmaa
    custom geofacet grid for Pohjois-Pohjanmaa region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|30 x 4
  28. geofi::grid_pohjois_savo
    custom geofacet grid for Pohjois-Savo region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|19 x 4
  29. geofi::grid_sairaanhoitop
    custom geofacet grid for health care districts
    csv| xlsx| json| ndjson| rda| rds
    data.frame|21 x 4
  30. geofi::grid_satakunta
    custom geofacet grid for Satakunta region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|16 x 4
  31. geofi::grid_uusimaa
    custom geofacet grid for Uusimaa region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|26 x 4
  32. geofi::grid_varsinais_suomi
    custom geofacet grid for Varsinais-Suomi region
    csv| xlsx| json| ndjson| rda| rds
    data.frame|27 x 4
  33. geofi::municipality_central_localities
    A simple feature point data containing locations of municipalities central localities
    csv| xlsx| json| ndjson| rda| rds
    sf|311 x 22
  34. geofi::municipality_key
    Aggregated municipality key table for years 2013-2025
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|4057 x 81
  35. geofi::municipality_key_2013
    municipality_key_2013
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|320 x 35
  36. geofi::municipality_key_2014
    municipality_key_2014
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|320 x 39
  37. geofi::municipality_key_2015
    municipality_key_2015
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|317 x 39
  38. geofi::municipality_key_2016
    municipality_key_2016
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|313 x 39
  39. geofi::municipality_key_2017
    municipality_key_2017
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|311 x 55
  40. geofi::municipality_key_2018
    Municipality key table for 2018
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|311 x 59
  41. geofi::municipality_key_2019
    Municipality key table for 2019
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|311 x 63
  42. geofi::municipality_key_2020
    Municipality key table for 2020
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|310 x 63
  43. geofi::municipality_key_2021
    Municipality key table for 2021
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|309 x 63
  44. geofi::municipality_key_2022
    Municipality key table for 2022
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|309 x 65
  45. geofi::municipality_key_2023
    Municipality key table for 2023
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|309 x 65
  46. geofi::municipality_key_2024
    Municipality key table for 2024
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|309 x 61
  47. geofi::municipality_key_2025
    Municipality key table for 2025
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|308 x 69
  48. geofi::sotkadata_population
    Municipality level population data from Sotkanet
    csv| xlsx| json| ndjson| rda| rds
    data.frame|7107 x 3
  49. geofi::sotkadata_swedish_speaking_pop
    Municipality level Swedish speaking population numbers from Sotkanet
    csv| xlsx| json| ndjson| rda| rds
    data.frame|5761 x 3
  50. geofi::statfi_zipcode_population
    Zipcode level population data from Statistics Finland
    csv| xlsx| json| ndjson| rda| rds
    data.frame|3027 x 2
  51. giscoR::gisco_coastallines
    World coastal lines 'POLYGON' object
    json| ndjson| rda| rds
    sf|2129 x 3
  52. giscoR::gisco_countries
    World countries 'POLYGON' 'sf' object
    json| ndjson| rda| rds
    sf|257 x 6
  53. giscoR::gisco_countrycode
    Data frame with different country code schemes and world regions
    csv| xlsx| json| ndjson| rda| rds
    data.frame|249 x 13
  54. giscoR::gisco_db
    GISCO database
    csv| xlsx| json| ndjson| rda| rds
    data.frame|46 x 10
  55. giscoR::gisco_nuts
    All NUTS 'POLYGON' object
    json| ndjson| rda| rds
    sf|2016 x 11
  56. hansard::bill_publication_types
    A character vector of possible types of bill publications. For use with 'bill_publications()'
    json| rda| rds
    character
  57. iotables::croatia_2010_1700
    Input-output table for Croatia, 2010.
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|6724 x 13
  58. iotables::croatia_2010_1800
    Input-output table for Croatia, 2010.
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|6314 x 13
  59. iotables::croatia_2010_1900
    Input-output table for Croatia, 2010.
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|5412 x 13
  60. iotables::croatia_employment_2013
    Croatian employment data for the year 2013
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|66 x 3
  61. iotables::croatia_employment_aggregation
    Aggregation table for Croatian employment statistics
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|105 x 2
  62. iotables::employment_metadata
    Employment metadata
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|294 x 6
  63. iotables::germany_1995
    Simple input-output table for Germany, 1995.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|247 x 11
  64. iotables::germany_airpol
    Air Pollution Table for Germany, 1995.
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|72 x 4
  65. iotables::metadata
    Metadata
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|771 x 8
  66. iotables::metadata_uk_2010
    Multipliers and effects (product) for testing from the United Kingdom Input-Output Analytical Tables, 2010
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|272 x 10
  67. iotables::netherlands_2006
    Simple input-output table for the Netherlands, 2006.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|13 x 14
  68. iotables::primary_inputs
    Primary input abbreviations
    csv| xlsx| json| ndjson| rda| rds
    data.frame|18 x 4
  69. iotables::uk_2010_data
    United Kingdom Input-Output Analytical Tables, 2010
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|123930 x 11
  70. iotables::uk_test_results
    Multipliers and effects (product) for testing from the United Kingdom Input-Output Analytical Tables, 2010
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|127 x 12
  71. psData::countrycode_data
    Country code translation data frame. This data set and the following documentation is take from Vincent Arel-Bundock 'countrycode' package version 0.17 with modifications.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|273 x 14
  72. regions::all_valid_nuts_codes
    European Union: All Valid NUTS Codes
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|12272 x 3
  73. regions::australia_states
    Australia: States And Territories
    csv| xlsx| json| ndjson| rda| rds
    data.frame|8 x 3
  74. regions::daily_internet_users
    Daily Internet Users
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|2973 x 3
  75. regions::google_nuts_matchtable
    Google Mobility Report European Correspondence Table
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|817 x 6
  76. regions::mixed_nuts_example
    Example Data Frame: Mixed EU Typologies.
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|22 x 3
  77. regions::nuts_changes
    European Union: Recoded NUTS units 1995-2021.
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|3097 x 22
  78. regions::nuts_exceptions
    NUTS Coding Exceptions
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|280 x 2
  79. regions::nuts_lau_2019
    European Union: NUTS And LAU Correspondence
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|99140 x 22
  80. regions::nuts_recoded
    European Union: Recoded NUTS units 1995-2021.
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|5859 x 5
  81. regions::regional_rd_personnel
    R&D Personnel by NUTS 2 Regions
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|956 x 7
  82. rqog::meta_basic_cs_2016
    Metadata for 2016 Quality of Government institute Basic Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|438 x 5
  83. rqog::meta_basic_cs_2017
    Metadata for 2017 Quality of Government institute Basic Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|477 x 5
  84. rqog::meta_basic_cs_2018
    Metadata for 2018 Quality of Government institute Basic Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|644 x 5
  85. rqog::meta_basic_cs_2019
    Metadata for 2019 Quality of Government institute Basic Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|652 x 5
  86. rqog::meta_basic_cs_2020
    Metadata for 2020 Quality of Government institute Basic Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|527 x 5
  87. rqog::meta_basic_cs_2021
    Metadata for 2021 Quality of Government institute Basic Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|498 x 5
  88. rqog::meta_basic_cs_2022
    Metadata for 2022 Quality of Government institute Basic Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|465 x 5
  89. rqog::meta_basic_cs_2023
    Metadata for 2023 Quality of Government institute Basic Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    data.frame|458 x 5
  90. rqog::meta_basic_ts_2016
    Metadata for 2016 Quality of Government institute Basic Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|335 x 5
  91. rqog::meta_basic_ts_2017
    Metadata for 2017 Quality of Government institute Basic Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|330 x 5
  92. rqog::meta_basic_ts_2018
    Metadata for 2018 Quality of Government institute Basic Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|558 x 5
  93. rqog::meta_basic_ts_2019
    Metadata for 2019 Quality of Government institute Basic Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|556 x 5
  94. rqog::meta_basic_ts_2020
    Metadata for 2020 Quality of Government institute Basic Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|484 x 5
  95. rqog::meta_basic_ts_2021
    Metadata for 2021 Quality of Government institute Basic Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|447 x 5
  96. rqog::meta_basic_ts_2022
    Metadata for 2022 Quality of Government institute Basic Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|458 x 5
  97. rqog::meta_basic_ts_2023
    Metadata for 2023 Quality of Government institute Basic Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    data.frame|432 x 5
  98. rqog::meta_oecd_cs_2016
    Metadata for 2016 Quality of Government institute OECD Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1608 x 5
  99. rqog::meta_oecd_cs_2017
    Metadata for 2017 Quality of Government institute OECD Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1311 x 5
  100. rqog::meta_oecd_cs_2018
    Metadata for 2018 Quality of Government institute OECD Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1319 x 5
  101. rqog::meta_oecd_cs_2019
    Metadata for 2019 Quality of Government institute OECD Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1825 x 5
  102. rqog::meta_oecd_cs_2020
    Metadata for 2020 Quality of Government institute OECD Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1170 x 5
  103. rqog::meta_oecd_cs_2021
    Metadata for 2021 Quality of Government institute OECD Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1226 x 5
  104. rqog::meta_oecd_cs_2022
    Metadata for 2022 Quality of Government institute OECD Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1223 x 5
  105. rqog::meta_oecd_cs_2023
    Metadata for 2023 Quality of Government institute OECD Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    data.frame|1246 x 5
  106. rqog::meta_oecd_ts_2016
    Metadata for 2016 Quality of Government institute OECD Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1507 x 5
  107. rqog::meta_oecd_ts_2017
    Metadata for 2017 Quality of Government institute OECD Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1269 x 5
  108. rqog::meta_oecd_ts_2018
    Metadata for 2018 Quality of Government institute OECD Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1407 x 5
  109. rqog::meta_oecd_ts_2019
    Metadata for 2019 Quality of Government institute OECD Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1769 x 5
  110. rqog::meta_oecd_ts_2020
    Metadata for 2020 Quality of Government institute OECD Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1351 x 5
  111. rqog::meta_oecd_ts_2021
    Metadata for 2021 Quality of Government institute OECD Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1374 x 5
  112. rqog::meta_oecd_ts_2022
    Metadata for 2022 Quality of Government institute OECD Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1464 x 5
  113. rqog::meta_oecd_ts_2023
    Metadata for 2023 Quality of Government institute OECD Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    data.frame|1468 x 5
  114. rqog::meta_std_cs_2016
    Metadata for 2016 Quality of Government institute Standard Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|2825 x 5
  115. rqog::meta_std_cs_2017
    Metadata for 2017 Quality of Government institute Standard Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|2455 x 5
  116. rqog::meta_std_cs_2018
    Metadata for 2018 Quality of Government institute Standard Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|2393 x 5
  117. rqog::meta_std_cs_2019
    Metadata for 2019 Quality of Government institute Standard Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|2981 x 5
  118. rqog::meta_std_cs_2020
    Metadata for 2020 Quality of Government institute Standard Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|2063 x 5
  119. rqog::meta_std_cs_2021
    Metadata for 2021 Quality of Government institute Standard Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1997 x 5
  120. rqog::meta_std_cs_2022
    Metadata for 2022 Quality of Government institute Standard Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1937 x 5
  121. rqog::meta_std_cs_2023
    Metadata for 2023 Quality of Government institute Standard Data - cross-sectional
    csv| xlsx| json| ndjson| rda| rds
    data.frame|1920 x 5
  122. rqog::meta_std_ts_2016
    Metadata for 2016 Quality of Government institute Standard Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|2882 x 5
  123. rqog::meta_std_ts_2017
    Metadata for 2017 Quality of Government institute Standard Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|3075 x 5
  124. rqog::meta_std_ts_2018
    Metadata for 2018 Quality of Government institute Standard Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|3221 x 5
  125. rqog::meta_std_ts_2019
    Metadata for 2019 Quality of Government institute Standard Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|3254 x 5
  126. rqog::meta_std_ts_2020
    Metadata for 2020 Quality of Government institute Standard Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|2620 x 5
  127. rqog::meta_std_ts_2021
    Metadata for 2021 Quality of Government institute Standard Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|2347 x 5
  128. rqog::meta_std_ts_2022
    Metadata for 2022 Quality of Government institute Standard Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|2408 x 5
  129. rqog::meta_std_ts_2023
    Metadata for 2023 Quality of Government institute Standard Data - time-series
    csv| xlsx| json| ndjson| rda| rds
    data.frame|2427 x 5
  130. sorvi::kunnat1865_2021
    Municipality dataset
    csv| xlsx| json| ndjson| rda| rds
    data.frame|1337 x 10
  131. sorvi::polygons1909_2009
    Municipality geometries
    json| ndjson| rda| rds
    sf|861 x 3
  132. sweidnumbr::fake_pins
    Fake personal identity numbers and names
    csv| xlsx| json| ndjson| rda| rds
    data.frame|62 x 2