US_wildfires

Records for each month of wildfires in the US.

datasets

"Lessons in Statistical Thinking" D.T. Kaplan (2014)
<https://dtkaplan.github.io/Lessons-in-statistical-thinking/>
is a textbook for a first or second course in statistics that embraces
data wrangling, causal reasoning, modeling, statistical adjustment,
and simulation. 'LSTbook' supports the student-centered, tidy,
pipeline-oriented computing style featured in the book.

Daniel Kaplan

LSTbook

Data and Software for "Lessons in Statistical Thinking"

Randall Pruim

US_wildfires function

275 rows, each of which is a month<ul>
<li><code>date</code> The year and month in a format that can be easily plotted</li>
<li><code>area</code>: total area burned by the wildfires in that month (acres)</li>
<li><code>number</code>: the number of wildfires in that month</li>
<li><code>month</code>: for convenience, the month (Jan, Feb, ..., Dec) as an ordered factor.</li>
</ul>

US_wildfires: Monthly tallies of wildfires in the US from 2000 to 2022

Description

Usage

Arguments

Format