In arthurgailes/RCapstone:

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-",
  echo = TRUE
)

The Coursera/Johns Hopkins Mastering Software Development in R Capstone Project

The Coursera/Johns Hopkins Mastering Software Development in R Capstone Project examines earthquake data from the U.S. National Oceanographic and Atmospheric Administation's (NOAA) dataset of significant earthquakes. For more info, visit: click here.

Installation

You can install RCapstone from github with:

# install.packages("devtools")
devtools::install_github("arthurgailes/RCapstone")

devtools::install_github("arthurgailes/RCapstone")
NOAA <- RCapstone::NOAA

Read and clean data

This function loads and formats the earthquake data used for the graphs

data <- RCapstone::eq_clean_data(RCapstone::NOAA)

Earthquakes in US and China after 2000

This graphs earthquakes in US and China after 2000; the radius of the circles charts the richter-scale magnitude of the earthquakes.

RCapstone::geom_timeline(RCapstone::NOAA)

Labeled earthquakes in US and China after 2000

This graphs earthquakes in US and China after 2000; the radius of the circles charts the richter-scale magnitude of the earthquakes. The largest earthquakes are labeled.

RCapstone::geom_timeline_label(RCapstone::NOAA)

Map of earthquakes in Mexico

Generates a Map of earthquakes in Mexico after 2000. The radius of the circles corresponds to the magnitude of the earthquakes.

RCapstone::eq_map(data = RCapstone::NOAA)
#the interactive version cannot be displayed on Github

knitr::include_graphics("README-mexico_map.PNG")

arthurgailes/RCapstone documentation built on May 18, 2019, 8:08 p.m.