## Example to visualize data from OECD better life index (2017)
## Download csv file from https://stats.oecd.org/index.aspx?DataSetCode=BLI
oecd_raw <- read.csv("../../../BLI_02042021153353422.csv")
oecd_proc <- oecd_raw |>
dplyr::filter(Inequality == "Total") |>
dplyr::select(Country, Indicator, Value) |>
dplyr::mutate(Indicator = make.names(Indicator)) |>
tidyr::pivot_wider(names_from = Indicator, values_from = Value)
bettr(df = oecd_proc, idCol = "Country",
initialTransforms = list(
Labour.market.insecurity = list(flip = TRUE, transform = '[0,1]'),
Stakeholder.engagement.for.developing.regulations = list(transform = '[0,1]'),
Dwellings.without.basic.facilities = list(flip = TRUE, transform = '[0,1]'),
Housing.expenditure = list(flip = TRUE, transform = '[0,1]'),
Feeling.safe.walking.alone.at.night = list(transform = '[0,1]'),
Rooms.per.person = list(transform = '[0,1]'),
Household.net.adjusted.disposable.income = list(transform = '[0,1]'),
Household.net.wealth = list(transform = '[0,1]'),
Employment.rate = list(transform = '[0,1]'),
Long.term.unemployment.rate = list(flip = TRUE, transform = '[0,1]'),
Personal.earnings = list(transform = '[0,1]'),
Quality.of.support.network = list(transform = '[0,1]'),
Educational.attainment = list(transform = '[0,1]'),
Student.skills = list(transform = '[0,1]'),
Years.in.education = list(transform = '[0,1]'),
Air.pollution = list(flip = TRUE, transform = '[0,1]'),
Water.quality = list(transform = '[0,1]'),
Voter.turnout = list(transform = '[0,1]'),
Life.expectancy = list(transform = '[0,1]'),
Self.reported.health = list(transform = '[0,1]'),
Life.satisfaction = list(transform = '[0,1]'),
Homicide.rate = list(flip = TRUE, transform = '[0,1]'),
Employees.working.very.long.hours = list(flip = TRUE, transform = '[0,1]'),
Time.devoted.to.leisure.and.personal.care = list(transform = '[0,1]')
))
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