knitr::opts_chunk$set( message = FALSE, warning = FALSE, collapse = TRUE, fig.width = 6, fig.height = 4 )
The BOJ
package provides an R
interface to Bank of Japan statistics, specifically the flat files available on the BOJ Time-Series Data portal.
To import data, first load the package:
library("BOJ")
Next, run the get_boj_datasets()
function to obtain a list of available data sets:
datasets <- get_boj_datasets() datasets
The function returns a tibble data frame listing the available data sets. The column url
can be used as input for the function get_boj()
which downloads, parses and imports the corresponding data.
To import monthly-frequency data on Japan's Services Producer Price Index, run:
sppi <- get_boj(datasets$url[(datasets$name == "sppi_m_en")]) sppi
To plot the data using ggplot2, run the following:
library("dplyr") library("ggplot2") library("zoo") sppi_plot <- subset(sppi, code %in% c("PRCS15_5200000000", "PRCS15_5200010001", "PRCS15_5200010002", "PRCS15_5200010003", "PRCS15_5200010004", "PRCS15_5200010005", "PRCS15_5200010006", "PRCS15_5200010007")) sppi_plot <- mutate(sppi_plot, date = as.Date(as.yearmon(date, format = "%Y%m"))) sppi_plot <- mutate(sppi_plot, struc = gsub("^Major group/ ", "", struc)) sppi_plot <- subset(sppi_plot, !is.na(obs_value)) ggplot(sppi_plot, aes(x = date, y = obs_value)) + geom_line(aes(colour = struc)) + labs(x = "Date", y = "Services Producer Price Index (2015 base)") + theme(legend.title = element_blank())
Note that BOJ data sets come with a number of different time formats. The zoo package (e.g. as.yearmon()
) should be able to parse most formats.
This package is in no way officially related to or endorsed by the Bank of Japan. It was inspired by the BIS R package. Please don't abuse the BOJ's servers with unnecessary calls.
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