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The USgas package provides an overview of demand for natural gas in the US in a time-series format. That includes the following dataset:
usgas - The monthly consumption of natural gas in
the US/state level by end-use since 1973 for US level and 1989 for state
level. It includes the following end-use categories:
The package also includes the following datasets, from previous release:
us_total - The US annual natural gas consumption by
state-level between 1997 and 2019, and aggregate level between 1949 and
2019us_monthly - The monthly demand for natural gas in the
US between 2001 and 2020us_residential - The US monthly natural gas residential
consumption by state and aggregate level between 1989 and 2020The us_total, us_monthly, and
us_residential can be derived out of the usgas
dataset. Therefore, those datasets in the process of deprication and
will be removed in the next release to CRAN.
Data source: The US Energy Information Administration API
More information about the package datasets available on this vignette.
You can install the released version of USgas from CRAN with:
install.packages("USgas")And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("RamiKrispin/USgas")Let’s load the data:
data("usgas")
head(usgas)
#> date process state state_abb y
#> 1 1973-01-01 Commercial Consumption U.S. U.S. 392315
#> 2 1973-01-01 Residential Consumption U.S. U.S. 843900
#> 3 1973-02-01 Commercial Consumption U.S. U.S. 394281
#> 4 1973-02-01 Residential Consumption U.S. U.S. 747331
#> 5 1973-03-01 Commercial Consumption U.S. U.S. 310799
#> 6 1973-03-01 Residential Consumption U.S. U.S. 648504
str(usgas)
#> 'data.frame': 92783 obs. of 5 variables:
#> $ date : Date, format: "1973-01-01" "1973-01-01" ...
#> $ process : chr "Commercial Consumption" "Residential Consumption" "Commercial Consumption" "Residential Consumption" ...
#> $ state : chr "U.S." "U.S." "U.S." "U.S." ...
#> $ state_abb: chr "U.S." "U.S." "U.S." "U.S." ...
#> $ y : int 392315 843900 394281 747331 310799 648504 231943 465867 174258 326313 ...
#> - attr(*, "units")= chr "MMCF"
#> - attr(*, "product_name")= chr "Natural Gas"
#> - attr(*, "source")= chr "EIA API: https://www.eia.gov/opendata/browser/natural-gas"Plotting the residential consumption of natural gas in the US:
library(plotly)
us_res <- usgas[which(usgas$state == "U.S." & usgas$process == "Residential Consumption"), ]
plot_ly(data = us_res,
x = ~ date,
y = ~ y,
type = "scatter",
mode = "line") |>
layout(title = "US Monthly Residential Consumption",
yaxis = list(title = "MMCF"),
xaxis = list(title = "Source: EIA API"))
Plotting the total monthly natural gas delivered in the New England states:
ne <- c("Connecticut", "Maine", "Massachusetts",
"New Hampshire", "Rhode Island", "Vermont")
ne_gas <- usgas[which(usgas$state %in% ne & usgas$process == "Delivered to Consumers"),]
plot_ly(data = ne_gas,
x = ~ date,
y = ~ y,
color = ~ state,
type = "scatter",
mode = "line") |>
layout(title = "Total Natrual Gas Delivered to Consumers in New England States",
yaxis = list(title = "MMCF"),
xaxis = list(title = "Source: EIA API"))
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.
Health stats visible at Monitor.