R package to access and manipulate data from the Sotkanet demographics indicator database. The Sotkanet data portal provides over 2000 demographic indicators across Finland and Europe, and is maintained by the National Institute for Health and Welfare (THL). For more information, see data description.
You can install the stable release version from CRAN:
install.packages("sotkanet")Alternatively, you can install the development version of sotkanet package from GitHub with:
# install.packages("remotes")
remotes::install_github("rOpenGov/sotkanet")Load the package in R:
library(sotkanet)List available indicators in the Sotkanet data portal:
# Pre-defined list of indicators to save bandwidth
sotkanet.indicators <- SotkanetIndicators(c(4,5,6,7,46,74))
head(sotkanet.indicators$indicator.title.fi)
#> [1] "Mielenterveyden häiriöihin sairaalahoitoa saaneet 0 - 17-vuotiaat / 1 000 vastaavanikäistä"
#> [2] "Toimeentulotukea saaneet 25 - 64-vuotiaat, % vastaavanikäisestä väestöstä"
#> [3] "Somaattisen erikoissairaanhoidon vuodeosastohoitopäivät 75 vuotta täyttäneillä / 1 000 vastaavanikäistä"
#> [4] "0 - 6-vuotiaat, % väestöstä"
#> [5] "0 - 6-vuotiaat, % väestöstä, väestöennuste 2060"
#> [6] "Yhden vanhemman perheet, % lapsiperheistä"Here is an example of data retrieval and visualization, using indicator describing private dental care use among 0-17 years old in 2015-2020.
library(ggplot2)
library(ggrepel)
hammashoito <- GetDataSotkanet(indicators = 1075, years = 2015:2020, genders = "total", region.category = "MAAKUNTA")
# Indicator title tells what this indicator is about
unique(hammashoito$indicator.title.fi)
#> [1] "Yksityisen hammashuollon käynnit 0 - 17-vuotiailla / 1 000 vastaavanikäistä"
# Some data has to be retrieved separately
hammashoito_metadata <- SotkanetIndicatorMetadata(id = 1075)
plot_caption <- paste0("Lähde: https://sotkanet.fi / ", hammashoito_metadata$organization$title$fi, "\n",
"Datan päiväys ", hammashoito_metadata$`data-updated`)
plot <- ggplot(hammashoito, aes(x=year, y=primary.value, group=region.title.fi))+
geom_line(aes(color=region.title.fi)) +
geom_point(aes(color=region.title.fi))
plot + labs(title = "Yksityisen hammashuollon käynnit 2015-2020",
subtitle = "0 - 17-vuotiailla / 1 000 vastaavanikäistä",
x = "Vuosi",
y = "Käyntien lkm",
caption = plot_caption,
color = "Maakunta") +
geom_text_repel(
aes(color = region.title.fi, label = ifelse(year == 2020, region.title.fi, NA_character_)),
xlim = c(2021, 2023),
direction = "both",
hjust = 0,
segment.size = .7,
segment.alpha = .5,
segment.linetype = "dotted",
box.padding = .4,
segment.curvature = -0.1,
segment.ncp = 3,
segment.angle = 20) +
theme(legend.position = "none",
panel.background = element_rect(fill = "linen")) +
scale_x_continuous(
expand = c(0, 0),
limits = c(2015, 2022),
breaks = seq(2015, 2020))
#> Warning: Removed 95 rows containing missing values (geom_text_repel).
#> Warning: ggrepel: 2 unlabeled data points (too many overlaps). Consider
#> increasing max.overlaps
#> Warning in grid.Call.graphics(C_xspline, x$x, x$y, x$shape, x$open, x$arrow, :
#> semi-transparency is not supported on this device: reported only once per page
For more in-depth examples, see the package vignette or online tutorial page.
sessionInfo() and packageVersion("sotkanet") and preferably provide a reproducible example)Kindly cite this work as follows: Leo Lahti, Einari Happonen, Juuso Parkkinen, Joona Lehtomaki, Vesa Saaristo and Pyry Kantanen (rOpenGov 2022). sotkanet: Sotkanet Open Data Access and Analysis. R package version 0.9.77. URL: https://github.com/rOpenGov/sotkanet
We are grateful to all contributors, and for the Sotkanet Statistics and Indicator Bank! This project is part of rOpenGov.
This package is in no way officially related to or endorsed by The Finnish Institute for Health and Welfare (Terveyden ja hyvinvoinnin laitos, THL).
For information about THL’s open data license and limitation of liability, please see their website: