Package: bagyo 0.2.0.9000

Ernest Guevarra

bagyo: Philippine Tropical Cyclones Data

The Philippines frequently experiences tropical cyclones (called 'bagyo' in the Filipino language) because of its geographical position. These cyclones typically bring heavy rainfall, leading to widespread flooding, as well as strong winds that cause significant damage to human life, crops, and property. Data on cyclones are collected and curated by the Philippine Atmospheric, Geophysical, and Astronomical Services Administration or 'PAGASA' and made available through its website <https://bagong.pagasa.dost.gov.ph/tropical-cyclone/publications/annual-report>. This package contains Philippine tropical cyclones data in a machine-readable format. It is hoped that this data package provides an interesting and unique dataset for data exploration and visualisation.

Authors:Ernest Guevarra [aut, cre, cph]

bagyo_0.2.0.9000.tar.gz
bagyo_0.2.0.9000.zip(r-4.7)bagyo_0.2.0.9000.zip(r-4.6)bagyo_0.2.0.9000.zip(r-4.5)
bagyo_0.2.0.9000.tgz(r-4.6-any)bagyo_0.2.0.9000.tgz(r-4.5-any)
bagyo_0.2.0.9000.tar.gz(r-4.7-any)bagyo_0.2.0.9000.tar.gz(r-4.6-any)
bagyo_0.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
bagyo/json (API)

# Install 'bagyo' in R:
install.packages('bagyo', repos = c('https://panukatan.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/panukatan/bagyo/issues

Pkgdown/docs site:https://panukatan.io

On CRAN:

Conda:

cyclonesdataphilippines

4.60 score 2 stars 6 scripts 204 downloads 2 exports 0 dependencies

Last updated from:0d21cd2a8e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK125
source / vignettesOK174
linux-release-x86_64OK122
macos-release-arm64OK74
macos-oldrel-arm64OK88
windows-develOK90
windows-releaseOK79
windows-oldrelOK64
wasm-releaseOK103

Exports:find_bagyoget_bagyo

Dependencies:

Data wrangling and visualisation
Data wrangling | Creating summaries | Working with date and time data | Data visualisation | Bar plots | Scatter plots | Time series | Distribution plots

Last update: 2026-01-18
Started: 2024-04-04

Why bagyo?
About the bagyo data

Last update: 2026-01-18
Started: 2024-04-02