ilarischeinin

# snow.R: Plot snow depths for Helsinki winters

# Ilari Scheinin
# firstname.lastname@gmail.com
# MIT License

library(dplyr)
library(fmi)
library(ggplot2)
library(lubridate)

ilarischeinin

# Ranking NHL’s best shooters with Bayesian multilevel modeling
# https://ilari.scheinin.fi/ranking-nhls-best-shooters/
# Ilari Scheinin
# firstname.lastname@gmail.com
# Code: MIT Licence
# Figures and tables: CC-BY

# For inclusion in the blog post, the main code is split into snippets in
# separate files named like *-chunk.R.
# This file exists purely for the boilerplate above, and for running the entire

ilarischeinin

# plot_dist.R: convenience function for plotting distribution shapes.

# Ilari Scheinin
# firstname.lastname@gmail.com
# 2016-11-17
# MIT License

# distribution: a density or distribution function, such as dnorm, pbeta, ...
# parameters:   a (possibly named) vector of parameters for the
#               density/distribution function

ilarischeinin

library(pxweb)
library(dplyr)
library(stringr)
library(tidyr)
library(ggplot2)
library(animation)

api <- "http://pxnet2.stat.fi/PXWeb/api/v1/"

past_original <- get_pxweb_data(

ilarischeinin

library(pxweb)
library(dplyr)
library(ggplot2)

api <- "http://pxnet2.stat.fi/PXWeb/api/v1/"

pension_fees <- get_pxweb_data(
  url=paste0(api, "en/StatFin/jul/vermak/102_vermak_tau_120.px"),
  dims=list(Verolaji = c("D61111_TYO", "D61121_TYO"), Sektori = c("S13141"),
    Tieto = c("Suhde1"), Vuosi = c("*")),

ilarischeinin

library(pxweb)
library(dplyr)
library(stringr)
library(ggplot2)
library(animation)

api <- "http://pxnet2.stat.fi/PXWeb/api/v1/"

past_original <- get_pxweb_data(
  url=paste0(api, "en/StatFin/vrm/vaerak/125_vaerak_tau_106.px"),