https://github.com/hadley/dplyr
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Tip revision: 2708de6009e29bfa8e93d69b92e0da05a0c3c484 authored by Romain Francois on 20 November 2020, 09:52:32 UTC
rethrow shiny errors as is, instead of promoting them like other errors.
Tip revision: 2708de6
storms.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data-storms.R
\docType{data}
\name{storms}
\alias{storms}
\title{Storm tracks data}
\format{
A tibble with 10,010 observations and 13 variables:
\describe{
\item{name}{Storm Name}
\item{year,month,day}{Date of report}
\item{hour}{Hour of report (in UTC)}
\item{lat,long}{Location of storm center}
\item{status}{Storm classification (Tropical Depression, Tropical Storm,
or Hurricane)}
\item{category}{Saffir-Simpson storm category (estimated from wind speed.
-1 = Tropical Depression, 0 = Tropical Storm)}
\item{wind}{storm's maximum sustained wind speed (in knots)}
\item{pressure}{Air pressure at the storm's center (in millibars)}
\item{ts_diameter}{Diameter of the area experiencing tropical storm strength winds (34 knots or above)}
\item{hu_diameter}{Diameter of the area experiencing hurricane strength winds (64 knots or above)}
}
}
\usage{
storms
}
\description{
This data is a subset of the NOAA Atlantic hurricane database best track
data, \url{https://www.nhc.noaa.gov/data/#hurdat}. The data includes the
positions and attributes of 198 tropical storms, measured every six hours
during the lifetime of a storm.
}
\examples{
storms
}
\seealso{
The script to create the storms data set: \url{https://github.com/tidyverse/dplyr/blob/master/data-raw/storms.R}
}
\keyword{datasets}
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