readme.md

In arichardsmith/ramedas: Read Historical AMEDAS CSV Files

ramedas

Historical AMEDAS data files downloaded from the Japan Meteorological Association website have multiple header rows, which stops read_csv from loading them properly. This package reads the files and coerces them into a format that plays nicely with tidy data principles. The package also provides convenience functions for working with the data.

Installation

Install the package directly from github using devtools

# install.packages("devtools")
devtools::install_github("tidyverse/readxl")

Usage

library(ramedas)

Calling read_amedas_csv with the path of your file will give you a long data frame with various metadata attached.

data <- read_amedas_csv("amedas_file.csv")

You can use pivot_measurements to pivot each measurement to a column. This requires you to decide the minimum acceptable level for 品質情報 (quality).

pivot_measurements(data, min_quality = 8)

The package also includes some helper functions to inspect 品質情報, summarise_quality and visualize_quality_over_time. For a more detailed introduction check out the vignette.

Contributing

I only use AMEDAS data to satisfy my own personal interest in Japan's weather. Feedback and contributions from any others users would be greatly appreciated. Specifically, I will eventually have a go at writing Japanese documentation for this package. But, as Japanese isn't my native language, any input from a native speaker would be good. I also plan to add translation functions to make the data easier to work with for non-Japanese speakers (or people who hate typing Japanese in RStudio...)

arichardsmith/ramedas documentation built on Dec. 19, 2021, 4:38 a.m.