Aleksander Rutkowski
The package is fully compatible with the new Eurostat’s API SDMX 2.1 and no longer relies on the old Eurostat’s Bulk Download Facility.
Use eurodata_codegen,
a point-and-click app for rapid and easy generation of richly-commented
R code, to import a Eurostat dataset or it’s subset (based on the
eurodata::importData() function).
The core API of the eurodata package contains just 6
functions – 4 for data or metadata imports and 2 for search:
Import functionality:
Search functionality:
Parameter filters in importData() allows to
download only the selected values of dimensions, instead of downloading
the full dataset. See the example close to the end below.
See the usage example at the very end below.
install.packages('eurodata') # from CRAN
# or
remotes::install_github('alekrutkowski/eurodata') # package 'remotes' needs to be installedlibrary(eurodata)##
## Attaching package: 'eurodata'
## The following object is masked from 'package:utils':
##
## findx <- importData('nama_10_a10') # actual dataset
str(x)## Classes 'EurostatDataset' and 'data.frame': 1164237 obs. of 8 variables:
## $ freq : Factor w/ 1 level "A": 1 1 1 1 1 1 1 1 1 1 ...
## $ unit : Factor w/ 28 levels "CLV_I05","CLV_I10",..: 5 5 5 5 5 5 5 5 5 5 ...
## $ nace_r2 : Factor w/ 12 levels "A","B-E","C",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ na_item : Factor w/ 4 levels "B1G","D1","D11",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ geo : Factor w/ 45 levels "AL","AT","BA",..: 2 3 4 5 6 7 8 9 10 11 ...
## $ TIME_PERIOD: Factor w/ 47 levels "1975","1976",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ value_ : num NA NA NA NA NA ...
## $ flags_ : chr ":" ":" ":" ":" ...
## - attr(*, "EurostatDatasetCode")= chr "nama_10_a10"
## - attr(*, "DownloadTime")= POSIXct[1:1], format: "2022-12-14 14:52:11"head(x,10)## freq unit nace_r2 na_item geo TIME_PERIOD value_ flags_
## 1 A CLV05_MEUR A B1G AT 1975 NA :
## 2 A CLV05_MEUR A B1G BA 1975 NA :
## 3 A CLV05_MEUR A B1G BE 1975 NA :
## 4 A CLV05_MEUR A B1G BG 1975 NA :
## 5 A CLV05_MEUR A B1G CH 1975 NA :
## 6 A CLV05_MEUR A B1G CY 1975 NA :
## 7 A CLV05_MEUR A B1G CZ 1975 NA :
## 8 A CLV05_MEUR A B1G DE 1975 NA :
## 9 A CLV05_MEUR A B1G DK 1975 1031.4
## 10 A CLV05_MEUR A B1G EA 1975 NA :y <- importDataList() # metadata
colnames(y)## [1] "Data subgroup, level 0" "Data subgroup, level 1" "Data subgroup, level 2"
## [4] "Data subgroup, level 3" "Data subgroup, level 4" "Data subgroup, level 5"
## [7] "Data subgroup, level 6" "Data subgroup, level 7" "Dataset name"
## [10] "Code" "Type" "Last update of data"
## [13] "Last table structure change" "Data start" "Data end"
## [16] "Link"str(y[y$Code=='nama_10_a10',]) # metadata on x## Classes 'EurostatDataList' and 'data.frame': 1 obs. of 16 variables:
## $ Data subgroup, level 0 : chr "Database by themes"
## $ Data subgroup, level 1 : chr "Economy and finance"
## $ Data subgroup, level 2 : chr "National accounts (ESA 2010)"
## $ Data subgroup, level 3 : chr "Annual national accounts"
## $ Data subgroup, level 4 : chr "Basic breakdowns of main GDP aggregates and employment (by industry and by assets)"
## $ Data subgroup, level 5 : chr ""
## $ Data subgroup, level 6 : chr ""
## $ Data subgroup, level 7 : chr ""
## $ Dataset name : chr "Gross value added and income by A*10 industry breakdowns"
## $ Code : chr "nama_10_a10"
## $ Type : chr "dataset"
## $ Last update of data : chr "2022-12-08"
## $ Last table structure change: chr "2022-03-22"
## $ Data start : chr "1975"
## $ Data end : chr "2021"
## $ Link : chr "https://ec.europa.eu/eurostat/databrowser/view/nama_10_a10/default/table?lang=en"z <- importLabels('geo')
head(z,10)## geo
## 1 EUR
## 2 EU
## 3 EU_V
## 4 EU27_2020_EFTA
## 5 EU27_2020_IS_K
## 6 EU27_2020
## 7 EU28_EFTA
## 8 EU28_IS_K
## 9 EU28
## 10 EU27_2007
## geo_labels
## 1 Europe
## 2 European Union (EU6-1958, EU9-1973, EU10-1981, EU12-1986, EU15-1995, EU25-2004, EU27-2007, EU28-2013, EU27-2020)
## 3 European Union (aggregate changing according to the context)
## 4 European Union - 27 countries (from 2020) and European Free Trade Association (EFTA) countries
## 5 European Union - 27 countries (from 2020) and Iceland under the Kyoto Protocol
## 6 European Union - 27 countries (from 2020)
## 7 European Union - 28 countries (2013-2020) and European Free Trade Association (EFTA) countries
## 8 European Union - 28 countries (2013-2020) and Iceland under the Kyoto Protocol
## 9 European Union - 28 countries (2013-2020)
## 10 European Union - 27 countries (2007-2013)# Free-style text search based on the parts of words in the dataset names
find(gdp,main,international,-quarterly)## 2022-12-14 14:52:22
## 2 dataset(s)/table(s) found.
## Keywords: gdp, main, international, -quarterly
##
## Database by themes >>
## Economy and finance >>
## National accounts (ESA 2010) >>
## National accounts - international data cooperation >>
## Annual national accounts- international data cooperation
##
## No : 1
## Dataset name : GDP and main aggregates- international data cooperation annual data
## Code : naida_10_gdp
## Type : dataset
## Last update of data : 2022-12-07
## Last table structure change : 2022-01-14
## Data start : 1975
## Data end : 2021
## Link : https://ec.europa.eu/eurostat/databrowser/view/naida_10_gdp/default/table?lang=en
##
## Database by themes >>
## Economy and finance >>
## Balance of payments - International transactions (BPM6) >>
## Balance of payments statistics and international investment positions (BPM6)
##
## No : 2
## Dataset name : Main Balance of Payments and International Investment Position items as share of GDP (BPM6)
## Code : bop_gdp6_q
## Type : dataset
## Last update of data : 2022-10-20
## Last table structure change : 2022-10-05
## Data start : 1991
## Data end : 2022Q2
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_gdp6_q/default/table?lang=en
##
## 2022-12-14 14:52:22
## 2 dataset(s)/table(s) found.
## Keywords: gdp, main, international, -quarterly
##
## End.# Search based on the parts of the dataset codes
find(bop, its)## 2022-12-14 14:52:23
## 7 dataset(s)/table(s) found.
## Keywords: bop, its
##
## Database by themes >>
## Economy and finance >>
## Balance of payments - International transactions >>
## International trade in services, geographical breakdown - Historical data
##
## No : 1
## Dataset name : International trade in services (2004-2013)
## Code : bop_its_det
## Type : dataset
## Last update of data : 2014-05-16
## Last table structure change : 2021-02-08
## Data start : 2004
## Data end : 2013
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its_det/default/table?lang=en
##
## No : 2
## Dataset name : International trade in services (1985-2003)
## Code : bop_its_deth
## Type : dataset
## Last update of data : 2014-05-16
## Last table structure change : 2021-02-08
## Data start : 1985
## Data end : 2003
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its_deth/default/table?lang=en
##
## No : 3
## Dataset name : International trade in services - market integration indicators (1992-2013)
## Code : bop_its_str
## Type : dataset
## Last update of data : 2014-05-28
## Last table structure change : 2021-02-08
## Data start : 1992
## Data end : 2013
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its_str/default/table?lang=en
##
## No : 4
## Dataset name : Total services, detailed geographical breakdown by EU Member States (2002-2012)
## Code : bop_its_tot
## Type : dataset
## Last update of data : 2014-05-27
## Last table structure change : 2021-02-08
## Data start : 2002
## Data end : 2012
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its_tot/default/table?lang=en
##
## Database by themes >>
## Economy and finance >>
## Balance of payments - International transactions (BPM6) >>
## International trade in services, geographical breakdown (BPM6)
##
## No : 5
## Dataset name : International trade in services (since 2010) (BPM6)
## Code : bop_its6_det
## Type : dataset
## Last update of data : 2022-05-10
## Last table structure change : 2022-05-10
## Data start : 2010
## Data end : 2021
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its6_det/default/table?lang=en
##
## No : 6
## Dataset name : Total services, detailed geographical breakdown by EU Member States (since 2010) (BPM6)
## Code : bop_its6_tot
## Type : dataset
## Last update of data : 2022-01-28
## Last table structure change : 2022-01-28
## Data start : 2010
## Data end : 2020
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its6_tot/default/table?lang=en
##
## Database by themes >>
## Population and social conditions >>
## Culture >>
## International trade in cultural services
##
## No : 7
## Dataset name : International trade in services (since 2010) (BPM6)
## Code : bop_its6_det
## Type : dataset
## Last update of data : 2022-05-10
## Last table structure change : 2022-05-10
## Data start : 2010
## Data end : 2021
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its6_det/default/table?lang=en
##
## 2022-12-14 14:52:23
## 7 dataset(s)/table(s) found.
## Keywords: bop, its
##
## End.find(bop,-ybk,its)## 2022-12-14 14:52:24
## 7 dataset(s)/table(s) found.
## Keywords: bop, -ybk, its
##
## Database by themes >>
## Economy and finance >>
## Balance of payments - International transactions >>
## International trade in services, geographical breakdown - Historical data
##
## No : 1
## Dataset name : International trade in services (2004-2013)
## Code : bop_its_det
## Type : dataset
## Last update of data : 2014-05-16
## Last table structure change : 2021-02-08
## Data start : 2004
## Data end : 2013
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its_det/default/table?lang=en
##
## No : 2
## Dataset name : International trade in services (1985-2003)
## Code : bop_its_deth
## Type : dataset
## Last update of data : 2014-05-16
## Last table structure change : 2021-02-08
## Data start : 1985
## Data end : 2003
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its_deth/default/table?lang=en
##
## No : 3
## Dataset name : International trade in services - market integration indicators (1992-2013)
## Code : bop_its_str
## Type : dataset
## Last update of data : 2014-05-28
## Last table structure change : 2021-02-08
## Data start : 1992
## Data end : 2013
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its_str/default/table?lang=en
##
## No : 4
## Dataset name : Total services, detailed geographical breakdown by EU Member States (2002-2012)
## Code : bop_its_tot
## Type : dataset
## Last update of data : 2014-05-27
## Last table structure change : 2021-02-08
## Data start : 2002
## Data end : 2012
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its_tot/default/table?lang=en
##
## Database by themes >>
## Economy and finance >>
## Balance of payments - International transactions (BPM6) >>
## International trade in services, geographical breakdown (BPM6)
##
## No : 5
## Dataset name : International trade in services (since 2010) (BPM6)
## Code : bop_its6_det
## Type : dataset
## Last update of data : 2022-05-10
## Last table structure change : 2022-05-10
## Data start : 2010
## Data end : 2021
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its6_det/default/table?lang=en
##
## No : 6
## Dataset name : Total services, detailed geographical breakdown by EU Member States (since 2010) (BPM6)
## Code : bop_its6_tot
## Type : dataset
## Last update of data : 2022-01-28
## Last table structure change : 2022-01-28
## Data start : 2010
## Data end : 2020
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its6_tot/default/table?lang=en
##
## Database by themes >>
## Population and social conditions >>
## Culture >>
## International trade in cultural services
##
## No : 7
## Dataset name : International trade in services (since 2010) (BPM6)
## Code : bop_its6_det
## Type : dataset
## Last update of data : 2022-05-10
## Last table structure change : 2022-05-10
## Data start : 2010
## Data end : 2021
## Link : https://ec.europa.eu/eurostat/databrowser/view/bop_its6_det/default/table?lang=en
##
## 2022-12-14 14:52:24
## 7 dataset(s)/table(s) found.
## Keywords: bop, -ybk, its
##
## End.browseDataList(grepl('GDP',`Dataset name`) &
grepl('main',`Dataset name`) &
grepl('international',`Dataset name`) &
!grepl('quarterly',`Dataset name`))
■ Generated on: 2022-12-14 14:52:25 ■ Number of datasets/tables
found: 1 ■ Search criteria: grepl(“GDP”, Dataset name)
& grepl(“main”, Dataset name)
&grepl(“international”, Dataset name) &
!grepl(“quarterly”,Dataset name)
| Row | Data subgroup, level 0 | Data subgroup, level 1 | Data subgroup, level 2 | Data subgroup, level 3 | Data subgroup, level 4 | Dataset name | Code | Type | Last update of data | Last table structure change | Data start | Data end | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Database by themes | Economy and finance | National accounts (ESA 2010) | National accounts - international data cooperation | Annual national accounts- international data cooperation | GDP and main aggregates- international data cooperation annual data | naida_10_gdp | dataset | 2022-12-07 | 2022-01-14 | 1975 | 2021 | click here |
browseDataList(grepl('bop',Code) & grepl('its',Code))■ Generated on: 2022-12-14 14:52:26 ■ Number of datasets/tables found: 7 ■ Search criteria: grepl(“bop”, Code) & grepl(“its”, Code)
| Row | Data subgroup, level 0 | Data subgroup, level 1 | Data subgroup, level 2 | Data subgroup, level 3 | Dataset name | Code | Type | Last update of data | Last table structure change | Data start | Data end | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Database by themes | Economy and finance | Balance of payments - International transactions | International trade in services, geographical breakdown - Historical data | International trade in services (2004-2013) | bop_its_det | dataset | 2014-05-16 | 2021-02-08 | 2004 | 2013 | click here |
| 2 | Database by themes | Economy and finance | Balance of payments - International transactions | International trade in services, geographical breakdown - Historical data | International trade in services (1985-2003) | bop_its_deth | dataset | 2014-05-16 | 2021-02-08 | 1985 | 2003 | click here |
| 3 | Database by themes | Economy and finance | Balance of payments - International transactions | International trade in services, geographical breakdown - Historical data | International trade in services - market integration indicators (1992-2013) | bop_its_str | dataset | 2014-05-28 | 2021-02-08 | 1992 | 2013 | click here |
| 4 | Database by themes | Economy and finance | Balance of payments - International transactions | International trade in services, geographical breakdown - Historical data | Total services, detailed geographical breakdown by EU Member States (2002-2012) | bop_its_tot | dataset | 2014-05-27 | 2021-02-08 | 2002 | 2012 | click here |
| 5 | Database by themes | Economy and finance | Balance of payments - International transactions (BPM6) | International trade in services, geographical breakdown (BPM6) | International trade in services (since 2010) (BPM6) | bop_its6_det | dataset | 2022-05-10 | 2022-05-10 | 2010 | 2021 | click here |
| 6 | Database by themes | Economy and finance | Balance of payments - International transactions (BPM6) | International trade in services, geographical breakdown (BPM6) | Total services, detailed geographical breakdown by EU Member States (since 2010) (BPM6) | bop_its6_tot | dataset | 2022-01-28 | 2022-01-28 | 2010 | 2020 | click here |
| 7 | Database by themes | Population and social conditions | Culture | International trade in cultural services | International trade in services (since 2010) (BPM6) | bop_its6_det | dataset | 2022-05-10 | 2022-05-10 | 2010 | 2021 | click here |
# Producing a table of datasets which (1) include a dimension `sizeclas`
# (i.e. firm size class) and (2) some data for firms with fewer than 10 employees
# (`sizeclas` code "LT10") and (3) have sectorial data (i.e. include a
# dimension `nace_r2`).
library(magrittr)
metab <- importMetabase()## Downloading Eurostat Metabase
## Uncompressing (extracting)
## Importing (reading into memory)codes_with_nace <- metab %>%
subset(Dim_name=='nace_r2') %>%
extract2('Code') %>%
unique
final_codes <- metab %>%
subset(Dim_name=='sizeclas' & Dim_val=='LT10' &
Code %in% codes_with_nace) %>%
extract2('Code') %>%
uniqueimportDataList() %>%
subset(Code %in% final_codes) %>%
as.EurostatDataList %>%
# the `SearchCriteria` argument below is optional
print(SearchCriteria =
'those including data on firms with fewer than 10 employees and NACE Rev.2 disaggregation') ■ Generated on: 2022-12-14 14:52:31 ■ Number of datasets/tables found: 7 ■ Search criteria: those including data on firms with fewer than 10 employees and NACE Rev.2 disaggregation
| Row | Data subgroup, level 0 | Data subgroup, level 1 | Data subgroup, level 2 | Data subgroup, level 3 | Data subgroup, level 4 | Data subgroup, level 5 | Dataset name | Code | Type | Last update of data | Last table structure change | Data start | Data end | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Database by themes | Population and social conditions | Labour market | Labour costs | Labour cost surveys | Labour costs survey - NACE Rev. 2 activity | Labour cost, wages and salaries, direct remuneration (excluding apprentices) by NACE Rev. 2 activity | lc_ncost_r2 | dataset | 2022-12-08 | 2022-09-15 | 2008 | 2020 | click here |
| 2 | Database by themes | Population and social conditions | Labour market | Labour costs | Labour cost surveys | Labour costs survey - NACE Rev. 2 activity | Structure of labour cost by NACE Rev. 2 activity - % of total cost | lc_nstruc_r2 | dataset | 2022-12-08 | 2022-09-15 | 2008 | 2020 | click here |
| 3 | Database by themes | Population and social conditions | Labour market | Labour costs | Labour cost surveys | Labour costs survey - NACE Rev. 2 activity | Number of employees, hours worked and paid, by working time and NACE Rev. 2 activity | lc_nnum1_r2 | dataset | 2022-12-08 | 2022-09-15 | 2008 | 2020 | click here |
| 4 | Database by themes | Population and social conditions | Labour market | Labour costs | Labour cost surveys | Labour costs survey - NACE Rev. 2 activity | Average hours worked and paid per employee, by working time and NACE Rev. 2 activity | lc_nnum2_r2 | dataset | 2022-12-08 | 2022-09-15 | 2008 | 2020 | click here |
| 5 | Database by themes | Population and social conditions | Labour market | Labour costs | Labour cost surveys | Labour costs survey - NACE Rev. 2 activity | Number of statistical units selected for the survey, by NACE Rev. 2 activity | lc_nstu_r2 | dataset | 2022-12-08 | 2022-09-15 | 2008 | 2020 | click here |
| 6 | Database by themes | International trade | International trade in goods - trade by enterprise characteristics (TEC) | Trade by NACE Rev. 2 activity and enterprise size class | ext_tec01 | dataset | 2022-11-11 | 2022-11-07 | 2012 | 2020 | click here | |||
| 7 | Database by themes | International trade | International trade in services | Services trade by enterprise characteristics (STEC) by NACE Rev.2 activities and enterprise size class | ext_stec01 | dataset | 2022-08-15 | 2013 | 2019 | click here |
filtersTo reduce the download size and time if full dataset not needed, e.g.:
subset_of__bop_its6_det <-
importData('bop_its6_det',
# New -- download only subset of available data
filters = list(geo=c('AT','BG'), # these two countries
TIME_PERIOD=2014:2020, # only that period
bop_item='SC')) # only "Services: Transport"## Downloading Eurostat dataset bop_its6_det
## Importing (reading into memory)str(subset_of__bop_its6_det)## Classes 'EurostatDataset' and 'data.frame': 4368 obs. of 9 variables:
## $ freq : Factor w/ 1 level "A": 1 1 1 1 1 1 1 1 1 1 ...
## $ currency : Factor w/ 1 level "MIO_EUR": 1 1 1 1 1 1 1 1 1 1 ...
## $ bop_item : Factor w/ 1 level "SC": 1 1 1 1 1 1 1 1 1 1 ...
## $ stk_flow : Factor w/ 3 levels "BAL","CRE","DEB": 1 1 1 1 1 1 1 1 1 1 ...
## $ partner : Factor w/ 117 levels "ACP","ACP_AFR",..: 1 2 3 4 5 5 6 6 7 7 ...
## $ geo : Factor w/ 2 levels "AT","BG": 2 2 2 2 1 2 1 2 1 2 ...
## $ TIME_PERIOD: Factor w/ 7 levels "2014","2015",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ value_ : num -220.7 -110.7 -62.7 -47.3 -241 ...
## $ flags_ : chr "" "" "" "" ...
## - attr(*, "EurostatDatasetCode")= chr "bop_its6_det"
## - attr(*, "DownloadTime")= POSIXct[1:1], format: "2022-12-14 14:52:33"describe('nama_10_gdp')## Downloading Eurostat Metabase
## Uncompressing (extracting)
## Importing (reading into memory)
## Downloading Eurostat labels for geo
## Downloading Eurostat labels for na_item
## Downloading Eurostat labels for time
## Downloading Eurostat labels for unit
## Dim_name Dim_name_label Dim_val
## 1: geo Geopolitical entity (reporting) AL
## 2: geo Geopolitical entity (reporting) AT
## 3: geo Geopolitical entity (reporting) BA
## 4: geo Geopolitical entity (reporting) BE
## 5: geo Geopolitical entity (reporting) BG
## ---
## 154: unit Unit of measure PD15_NAC
## 155: unit Unit of measure PD_PCH_PRE_EUR
## 156: unit Unit of measure PD_PCH_PRE_NAC
## 157: unit Unit of measure PYP_MEUR
## 158: unit Unit of measure PYP_MNAC
## Dim_val_label nama_10_gdp
## 1: Albania TRUE
## 2: Austria TRUE
## 3: Bosnia and Herzegovina TRUE
## 4: Belgium TRUE
## 5: Bulgaria TRUE
## ---
## 154: Price index (implicit deflator), 2015=100, national currency TRUE
## 155: Price index (implicit deflator), percentage change on previous period, euro TRUE
## 156: Price index (implicit deflator), percentage change on previous period, national currency TRUE
## 157: Previous year prices, million euro TRUE
## 158: Previous year prices, million units of national currency TRUEdescribe('nama_10_gdp', wide=TRUE)## Dim_name Dim_name_label nama_10_gdp
## 1: geo Geopolitical entity (reporting) TRUE
## 2: na_item National accounts indicator (ESA 2010) TRUE
## 3: time Period of time TRUE
## 4: unit Unit of measure TRUE
## Dim_values
## 1: EU27_2020, EU28, EU15, EA, EA19, EA12, BE, BG, CZ, DK, DE, EE, IE, EL, ES, FR, HR, IT, CY, LV, LT, LU, HU, MT, NL, AT, PL, PT, RO, SI, SK, FI, SE, IS, LI, NO, CH, UK, ME, MK, AL, RS, TR, BA, XK
## 2: B1GQ, B1G, P3, P3_S13, P31_S13, P32_S13, P31_S14_S15, P31_S14, P31_S15, P41, P5G, P51G, P52_P53, P52, P53, P6, P61, P62, P7, P71, P72, B11, B111, B112, D1, D11, D12, B2A3G, D2X3, D2, D3, D21X31, D21, D31, YA1, YA0, YA2, P3_P5, P3_P6
## 3: 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990, 1989, 1988, 1987, 1986, 1985, 1984, 1983, 1982, 1981, 1980, 1979, 1978, 1977, 1976, 1975
## 4: CLV_I15, CLV_I10, CLV_I05, PC_GDP, PC_EU27_2020_MEUR_CP, PC_EU27_2020_MPPS_CP, CP_MEUR, CP_MNAC, CP_MPPS_EU27_2020, CLV15_MEUR, CLV10_MEUR, CLV05_MEUR, CLV15_MNAC, CLV10_MNAC, CLV05_MNAC, CLV_PCH_PRE, PYP_MEUR, PYP_MNAC, CON_PPCH_PRE, PD15_EUR, PD10_EUR, PD05_EUR, PD15_NAC, PD10_NAC, PD05_NAC, PD_PCH_PRE_EUR, PD_PCH_PRE_NACcompare('nama_10_gdp', 'nama_10_a64')## Downloading Eurostat labels for nace_r2
## Dim_name Dim_name_label Dim_val
## 1: geo Geopolitical entity (reporting) AL
## 2: geo Geopolitical entity (reporting) AT
## 3: geo Geopolitical entity (reporting) BA
## 4: geo Geopolitical entity (reporting) BE
## 5: geo Geopolitical entity (reporting) BG
## ---
## 251: unit Unit of measure PD15_NAC
## 252: unit Unit of measure PD_PCH_PRE_EUR
## 253: unit Unit of measure PD_PCH_PRE_NAC
## 254: unit Unit of measure PYP_MEUR
## 255: unit Unit of measure PYP_MNAC
## Dim_val_label nama_10_gdp nama_10_a64
## 1: Albania TRUE TRUE
## 2: Austria TRUE TRUE
## 3: Bosnia and Herzegovina TRUE TRUE
## 4: Belgium TRUE TRUE
## 5: Bulgaria TRUE TRUE
## ---
## 251: Price index (implicit deflator), 2015=100, national currency TRUE TRUE
## 252: Price index (implicit deflator), percentage change on previous period, euro TRUE TRUE
## 253: Price index (implicit deflator), percentage change on previous period, national currency TRUE TRUE
## 254: Previous year prices, million euro TRUE TRUE
## 255: Previous year prices, million units of national currency TRUE TRUE