anhdanggit / fars

Functions to summarize fatal accidents datasets in 2013-15 (30,000+ obs./year) and plot the locations on state maps. Data Source: US National Highway Traffic Safety Administration's Data

fars

Functions of Analyze Fatality Accidents Data

Author: "Anh Dang (assignment from Coursera)"

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Package Info

This is the instruction for all related functions included in fars package to assess and analyze the data from the US National Highway Traffic Safety Administration's Data, including:

• fars_read: to take the table format data and create a data frame
• make_filename: to create a valid name of data by inputed year
• fars_read_years: to months having fatal accidents by months
• fars_summarize_years: to summarize the number of fatal accidents by months and years
• fars_map_state: to plots the locations of accidents of a state in a specific year by longtitude and latitude

Data Info

The functions applied to the data from using data from the US National Highway Traffic Safety Administration's Fatality Analysis Reporting System, which is a nationwide census providing the American public yearly data regarding fatal injuries suffered in motor vehicle traffic crashes.

The package includes the data in 2013, 2014, 2015, named accident_2013.csv.bz2, accident_2014.csv.bz2, accident_2015.csv.bz2 respectively

(1) fars_read

Functions fars_read reads a file with filename in table format to create the data frame.

fars::fars_read("accident_2013.csv.bz2")

(2) make_filename

Function make_filename takes an year and create a filename in the format of "accident_year.csv.bz2"

fars::make_filename(2014)

(3) fars_read_years

Function fars_read_years takes a list of years and return the data of specific years, which only remains the variables of MONTH and year. It returns NULL if inputing invalid years.

library(dplyr)
fars::fars_read_years(c(2012, 2013))

(4) fars_summarize_years

Function fars_summarize_years summarizes the number of fatal accidents in each year by MONTH.

(5) fars_map_state

The figure sizes have been customised so that you can easily put two images side-by-side.

library(graphics)
library(maps)
fars::fars_map_state(1,2014)