The fetch_data_from_url() function is designed to facilitate easy access to data by parsing a copied URL from websites of various datasources. It forms a query to the database and retrieves the data in R using the robonomistclient package.
Value
If get is TRUE, the function returns the queried data. If get is FALSE, it returns the query string.
Examples
# Example usage:
url <- "https://data-explorer.oecd.org/vis?tm=sna&pg=0&fs[0]=Measure%2C0%7CAquaculture%20production%23AQUA_PD%23&fc=Measure&snb=1&vw=tb&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_FISH_PROD%40DF_FISH_AQUA&df[ag]=OECD.TAD.ARP&df[vs]=1.0&pd=2010%2C&dq=.A.._T.T&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD&to[TIME_PERIOD]=false"
fetch_data_from_url(url)
#> data_get("oecd/DSD_FISH_PROD@DF_FISH_AQUA", dl_filter = ".A.._T.T")
#> ℹ Connecting to robonomistServer at wss://data.robonomist.app
#> ✔ Connecting to robonomistServer at wss://data.robonomist.app [823ms]
#>
#> ℹ Connected successfully to robonomistServer 2.9.24
#> ✔ Connected successfully to robonomistServer 2.9.24 [23ms]
#>
#> ⠙ Requesting get
#> ✔ Requesting get [232ms]
#>
#> # Robonomist id: oecd/DSD_FISH_PROD@DF_FISH_AQUA
#> # Title: Aquaculture production
#> # Vintage: 2024-07-25 09:39:34
#> # A tibble: 1,431 × 10
#> REF_AREA FREQ MEASURE SPECIES UNIT_MEASURE time value UNIT_MULT
#> * <chr> <chr> <chr> <chr> <chr> <date> <dbl> <chr>
#> 1 Argentina Annual Aquaculture… Total Tonnes 1995-01-01 1474 0
#> 2 Argentina Annual Aquaculture… Total Tonnes 1996-01-01 1322 0
#> 3 Argentina Annual Aquaculture… Total Tonnes 1997-01-01 1314 0
#> 4 Argentina Annual Aquaculture… Total Tonnes 1998-01-01 1040 0
#> 5 Argentina Annual Aquaculture… Total Tonnes 1999-01-01 1218 0
#> 6 Argentina Annual Aquaculture… Total Tonnes 2000-01-01 1784 0
#> 7 Argentina Annual Aquaculture… Total Tonnes 2001-01-01 1340 0
#> 8 Argentina Annual Aquaculture… Total Tonnes 2002-01-01 1457 0
#> 9 Argentina Annual Aquaculture… Total Tonnes 2003-01-01 1647 0
#> 10 Argentina Annual Aquaculture… Total Tonnes 2004-01-01 1848 0
#> # ℹ 1,421 more rows
#> # ℹ 2 more variables: DECIMALS <chr>, CONVENTION <chr>
fetch_data_from_url(url, get = FALSE)
#> data_get("oecd/DSD_FISH_PROD@DF_FISH_AQUA", dl_filter = ".A.._T.T")
# StatFin
fetch_data_from_url("https://statfin.stat.fi/PxWeb/pxweb/fi/StatFin/StatFin__aku/statfin_aku_pxt_12ea.px/")
#> data_get("StatFin/aku/statfin_aku_pxt_12ea.px")
#> ⠙ Requesting get
#> ✔ Requesting get [223ms]
#>
#> # Robonomist id: StatFin/aku/statfin_aku_pxt_12ea.px
#> # Title: Aikuiskoulutukseen osallistuminen (ml. työhön tai ammattiin
#> # liittyvä, henkilöstökoulutus sekä muu kuin työhön liittyvä aikuiskoulutus)
#> # sukupuolittain muuttujina Vuosi, Sukupuoli ja Tiedot
#> # Last updated: 2023-10-06 08:00:00
#> # A tibble: 168 × 4
#> Vuosi Sukupuoli Tiedot value
#> * <chr> <chr> <chr> <dbl>
#> 1 1990 Yhteensä Aikuiskoulutukseen osallistuneet, lkm 1.53e6
#> 2 1990 Yhteensä Aikuiskoulutukseen osallistuneet, % 4.7 e1
#> 3 1990 Yhteensä Työhön tai ammattiin liittyvään aikuiskoulutukseen os… 1.09e6
#> 4 1990 Yhteensä Työhön tai ammattiin liittyvään aikuiskoulutukseen os… 4.4 e1
#> 5 1990 Yhteensä Työnantajan tukemaan koulutukseen (henkilöstökoulutuk… 9.69e5
#> 6 1990 Yhteensä Työnantajan tukemaan koulutukseen (henkilöstökoulutuk… 4.7 e1
#> 7 1990 Yhteensä Muuhun kuin työhön tai ammattiin liittyvään aikuiskou… 5.45e5
#> 8 1990 Yhteensä Muuhun kuin työhön tai ammattiin liittyvään aikuiskou… 1.8 e1
#> 9 1990 Miehet Aikuiskoulutukseen osallistuneet, lkm 6.98e5
#> 10 1990 Miehet Aikuiskoulutukseen osallistuneet, % 4.3 e1
#> # ℹ 158 more rows
# Eurostat fetch_data_from_url("https://ec.europa.eu/eurostat/databrowser/view/cens_hnmga/default/table?lang=en&category=cens.cens_hn.cens_hnstr")
# ECB
fetch_data_from_url("https://data.ecb.europa.eu/data/datasets/ICP/ICP.M.U2.N.000000.4.ANR")
#> data_get("ecb/ICP", dl_filter = "M.U2.N.000000.4.ANR")
#> ⠙ Requesting get
#> ✔ Requesting get [214ms]
#>
#> # Robonomist id: ecb/ICP
#> # Title: Indices of Consumer prices
#> # Vintage: 2024-11-22 08:00:00
#> # A tibble: 334 × 8
#> Frequency `Reference area` `Adjustment indicator` Classification - ICP…¹
#> * <chr> <chr> <chr> <chr>
#> 1 Monthly Euro area (changing … Neither seasonally no… HICP - Overall index
#> 2 Monthly Euro area (changing … Neither seasonally no… HICP - Overall index
#> 3 Monthly Euro area (changing … Neither seasonally no… HICP - Overall index
#> 4 Monthly Euro area (changing … Neither seasonally no… HICP - Overall index
#> 5 Monthly Euro area (changing … Neither seasonally no… HICP - Overall index
#> 6 Monthly Euro area (changing … Neither seasonally no… HICP - Overall index
#> 7 Monthly Euro area (changing … Neither seasonally no… HICP - Overall index
#> 8 Monthly Euro area (changing … Neither seasonally no… HICP - Overall index
#> 9 Monthly Euro area (changing … Neither seasonally no… HICP - Overall index
#> 10 Monthly Euro area (changing … Neither seasonally no… HICP - Overall index
#> # ℹ 324 more rows
#> # ℹ abbreviated name: ¹`Classification - ICP context`
#> # ℹ 4 more variables: `Institution originating the data flow` <chr>,
#> # `Series variation - ICP context` <chr>, time <date>, value <dbl>
# World bank
fetch_data_from_url("https://data.worldbank.org/indicator/SH.DYN.MORT?locations=1W&start=1990&view=chart")
#> data_get("wb/SH.DYN.MORT")
#> ⠙ Requesting get
#> ✔ Requesting get [285ms]
#>
#> # Robonomist id: wb/SH.DYN.MORT
#> # Title: Mortality rate, under-5 (per 1,000 live births)
#> # Vintage: 2024-11-22 08:19:15.405904
#> # A tibble: 18,304 × 6
#> indicator iso2c iso3c country time value
#> * <chr> <chr> <chr> <chr> <date> <dbl>
#> 1 Mortality rate, under-5 (per 1,000 live… ZH AFE Africa… 1960-01-01 NA
#> 2 Mortality rate, under-5 (per 1,000 live… ZH AFE Africa… 1961-01-01 NA
#> 3 Mortality rate, under-5 (per 1,000 live… ZH AFE Africa… 1962-01-01 NA
#> 4 Mortality rate, under-5 (per 1,000 live… ZH AFE Africa… 1963-01-01 NA
#> 5 Mortality rate, under-5 (per 1,000 live… ZH AFE Africa… 1964-01-01 NA
#> 6 Mortality rate, under-5 (per 1,000 live… ZH AFE Africa… 1965-01-01 NA
#> 7 Mortality rate, under-5 (per 1,000 live… ZH AFE Africa… 1966-01-01 NA
#> 8 Mortality rate, under-5 (per 1,000 live… ZH AFE Africa… 1967-01-01 NA
#> 9 Mortality rate, under-5 (per 1,000 live… ZH AFE Africa… 1968-01-01 NA
#> 10 Mortality rate, under-5 (per 1,000 live… ZH AFE Africa… 1969-01-01 NA
#> # ℹ 18,294 more rows
# Fred
fetch_data_from_url("https://fred.stlouisfed.org/series/FPCPITOTLZGUSA")
#> data_get("fred/FPCPITOTLZGUSA")
#> ⠙ Requesting get
#> ✔ Requesting get [986ms]
#>
#> # Robonomist id: fred/FPCPITOTLZGUSA
#> # Title: Inflation, consumer prices for the United States
#> # Vintage: 2024-09-19 19:08:02
#> # A tibble: 64 × 7
#> series_id Title Frequency Units `Seasonal adjustment` time value
#> * <chr> <chr> <chr> <chr> <chr> <date> <dbl>
#> 1 FPCPITOTLZGUSA Inflat… Annual Perc… Not Seasonally Adjus… 1960-01-01 1.46
#> 2 FPCPITOTLZGUSA Inflat… Annual Perc… Not Seasonally Adjus… 1961-01-01 1.07
#> 3 FPCPITOTLZGUSA Inflat… Annual Perc… Not Seasonally Adjus… 1962-01-01 1.20
#> 4 FPCPITOTLZGUSA Inflat… Annual Perc… Not Seasonally Adjus… 1963-01-01 1.24
#> 5 FPCPITOTLZGUSA Inflat… Annual Perc… Not Seasonally Adjus… 1964-01-01 1.28
#> 6 FPCPITOTLZGUSA Inflat… Annual Perc… Not Seasonally Adjus… 1965-01-01 1.59
#> 7 FPCPITOTLZGUSA Inflat… Annual Perc… Not Seasonally Adjus… 1966-01-01 3.02
#> 8 FPCPITOTLZGUSA Inflat… Annual Perc… Not Seasonally Adjus… 1967-01-01 2.77
#> 9 FPCPITOTLZGUSA Inflat… Annual Perc… Not Seasonally Adjus… 1968-01-01 4.27
#> 10 FPCPITOTLZGUSA Inflat… Annual Perc… Not Seasonally Adjus… 1969-01-01 5.46
#> # ℹ 54 more rows
# BIS
fetch_data_from_url("https://data.bis.org/topics/RPP/BIS,WS_SPP,1.0/Q.5R.N.628")
#> data_get("bis/WS_SPP", dl_filter = "Q.5R.N.628")
#> ⠙ Requesting get
#> ✔ Requesting get [500ms]
#>
#> # Robonomist id: bis/WS_SPP
#> # Title: Selected residential property prices
#> # Vintage: 2024-11-22 08:19:33.403457
#> # A tibble: 34,016 × 6
#> Frequency `Reference area` Value `Unit of measure` time value
#> * <chr> <chr> <chr> <chr> <date> <dbl>
#> 1 Quarterly Advanced economies Nominal Index, 2010 = 100 2007-10-01 110.
#> 2 Quarterly Advanced economies Nominal Index, 2010 = 100 2008-01-01 109.
#> 3 Quarterly Advanced economies Nominal Index, 2010 = 100 2008-04-01 107.
#> 4 Quarterly Advanced economies Nominal Index, 2010 = 100 2008-07-01 105.
#> 5 Quarterly Advanced economies Nominal Index, 2010 = 100 2008-10-01 101.
#> 6 Quarterly Advanced economies Nominal Index, 2010 = 100 2009-01-01 98.7
#> 7 Quarterly Advanced economies Nominal Index, 2010 = 100 2009-04-01 98.5
#> 8 Quarterly Advanced economies Nominal Index, 2010 = 100 2009-07-01 99.3
#> 9 Quarterly Advanced economies Nominal Index, 2010 = 100 2009-10-01 99.8
#> 10 Quarterly Advanced economies Nominal Index, 2010 = 100 2010-01-01 99.8
#> # ℹ 34,006 more rows
# SCB
fetch_data_from_url("https://www.statistikdatabasen.scb.se/pxweb/sv/ssd/START__EN__EN0302/SSDArGasavtal/")
#> data_get("se/EN/EN0302/SSDArGasavtal")
#> ⠙ Requesting get
#> ✔ Requesting get [476ms]
#>
#> # Robonomist id: se/EN/EN0302/SSDArGasavtal
#> # Title: Change of natural gas supplier. Year 2008 - 2023
#> # Last updated: 2024-03-25 11:18:00
#> # A tibble: 64 × 5
#> `consumer category` `customers or installations` observations year value
#> * <chr> <chr> <chr> <chr> <dbl>
#> 1 households number of customers Change of natur… 2008 NA
#> 2 households number of customers Change of natur… 2009 285
#> 3 households number of customers Change of natur… 2010 266
#> 4 households number of customers Change of natur… 2011 281
#> 5 households number of customers Change of natur… 2012 157
#> 6 households number of customers Change of natur… 2013 238
#> 7 households number of customers Change of natur… 2014 452
#> 8 households number of customers Change of natur… 2015 170
#> 9 households number of customers Change of natur… 2016 226
#> 10 households number of customers Change of natur… 2017 354
#> # ℹ 54 more rows