lsnstat_macrodata {lsnstat} | R Documentation |
R companion of 'La Societe Nouvelle' stats API services
Description
R companion of 'La Societe Nouvelle' stats API services
Usage
lsnstat_macrodata(dataset, filter_list, filters, sort, verbose = T)
Arguments
dataset |
dataset requested : list available at https://docs.lasocietenouvelle.org/series-donnees (required) |
filter_list |
filters to apply : R list of dataset 'params' available through function lsnstat_metadata or get_lsn_dataset_list (optional) |
filters |
filters to apply : formatted list of dataset 'params' available through function lsnstat_metadata or get_lsn_dataset_list (optional) |
sort |
Sort the dataset by one or more 'params' available(s) through function lsnstat_metadata or get_lsn_dataset_list (optional). |
verbose |
display or hide supplementary informations. |
Value
A data.frame()
.
Examples
#GET macro footprint : Greenhouse gases emissions intensities
# for sector "C19" between 2015 and 2021
lsnstat_macrodata(dataset = "macro_fpt",
filter_list = list(indic = 'GHG',year = 2015:2021,industry = 'C19'))
#GET macro footprint trend : Energy uses intensities
# for sector "C28" between 2025 and 2030
lsnstat_macrodata(dataset = "macro_fpt_trd",
filters = "indic=NRG&year=2025+2026+2027+2028+2029+2030&industry=C28")
# GET sectoral value-added, production and intermediate consumption from FIGARO
# for sector 'O84' in 2010 and 2030
lsnstat_macrodata("figaro_main_aggregates",list(aggregate = c('X','VA','P2'),
industry = 'O84',
year = c("2010","2030")),
sort = c('country','value'))
[Package lsnstat version 1.0.1 Index]