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This package provides the one data set for materials used at U.S. breweries as listed in the Beer Monthly Statistical Releases, and eight data sets for historical tax rates of distilled spirits, wine, beer, champagne, and tobacco.
The motivation behind this package was to provide analysis-ready data
sets as the original data for the beermaterials
is in PDF
format which can be difficult to read into R, given the small ecosystem
of PDF parsing R packages such as: tm
, and
tabulizer
. Other goals of this package are to provide more
data sets to the R ecosystem for beer analytics from open government
data portals.
To install the package type the following:
install.packages("ttbbeer")
library("ttbbeer")
Or you can install the development version from Github:
library(devtools)
install_github("jasdumas/ttbbeer")
library(ttbbeer)
The components of the package are a data set called
beermaterials
which includes the materials used by U.S.
breweries during beer production as reported on a monthly basis to the
U.S. Department of the Treasury, Alcohol and Tobacco Tax and Trade
Bureau (TTB) from 2006 to 2015. The other components of this package
include eight data sets depicting the historical tax
rate of distilled spirits, wine, beer, champagne, and tobacco.
Several different types of data analysis projects can be conducted by using this data such as: Exploratory Data Analysis, and Time Series Analysis. The intended audience of this data is everyone but especially for those interested in open government data or beer analytics.
data("beermaterials")
data("artificialcarbontax")
data("champagnetax")
data("spirittax")
data("winetax14")
data("winetax1421")
data("winetax2124")
data("beertax")
data("tobaccotax")
This project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
Package Author: Jasmine Dumas @jasdumas | jasdumas.github.io | Package Wiki
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.