README.md
In krose/eia: An R wrapper for the EIA API.
Introduction
An R client for the EIA API. The API is currently in beta and can be subject to change.
Before you do anything head over to the EIA registration page and get an API key.
Installation
devtools::install_github("krose/eia")
Examples
Let's first load the library:
library(eia)
Category
The first function is the category function. If you don't supply any category_id you will simply get data on the top level category returned as a list:
eia_cat(api_key = api_key)
## $request
## $request$category_id
## [1] 371
##
## $request$command
## [1] "category"
##
##
## $category
## $category$category_id
## [1] "371"
##
## $category$parent_category_id
## NULL
##
## $category$name
## [1] "EIA Data Sets"
##
## $category$notes
## [1] ""
##
## $category$childcategories
## category_id name
## 1 40203 State Energy Data System (SEDS)
## 2 0 Electricity
## 3 714804 Natural Gas
## 4 714755 Petroleum
## 5 717234 Coal
## 6 829714 Short-Term Energy Outlook
## 7 964164 Annual Energy Outlook
## 8 1238399 Crude Oil Imports
##
## $category$childseries
## list()
These categories are deep, so you might find yourself searching through these until you get to the data series that you are interested.
Here's the first level of the natural gas category:
eia_cat(api_key = api_key, category_id = "714804")
## $request
## $request$category_id
## [1] 714804
##
## $request$command
## [1] "category"
##
##
## $category
## $category$category_id
## [1] "714804"
##
## $category$parent_category_id
## [1] "371"
##
## $category$name
## [1] "Natural Gas"
##
## $category$notes
## [1] ""
##
## $category$childcategories
## category_id name
## 1 714805 Summary
## 2 714806 Prices
## 3 714807 Exploration and Reserves
## 4 714814 Imports and Exports/Pipelines
## 5 714813 Production
## 6 714816 Consumption / End Use
## 7 714815 Storage
##
## $category$childseries
## list()
When you get to the final level the result is often a long list of "childseries" which ids the data series you can request.
eia_cat(api_key = api_key, category_id = 475136)
## $request
## $request$category_id
## [1] 475136
##
## $request$command
## [1] "category"
##
##
## $category
## $category$category_id
## [1] "475136"
##
## $category$parent_category_id
## [1] "714813"
##
## $category$name
## [1] "Shale Gas Production"
##
## $category$notes
## [1] ""
##
## $category$childcategories
## list()
##
## $category$childseries
## series_id
## 1 NG.RES_EPG0_R5302_SPA_BCF.A
## 2 NG.RES_EPG0_R5302_R1Z10_BCF.A
## 3 NG.RES_EPG0_R5302_RNMEAST_BCF.A
## 4 NG.RES_EPG0_R5302_RTX09_BCF.A
## 5 NG.RES_EPG0_R5302_RTX02_BCF.A
## 6 NG.RES_EPG0_R5302_RTX07B_BCF.A
## 7 NG.RES_EPG0_R5302_RTX03_BCF.A
## 8 NG.RES_EPG0_R5302_SAK_BCF.A
## 9 NG.RES_EPG0_R5302_RLAN_BCF.A
## 10 NG.RES_EPG0_R5302_R2X40_BCF.A
## 11 NG.RES_EPG0_R5302_RTX04_BCF.A
## 12 NG.RES_EPG0_R5302_SMT_BCF.A
## 13 NG.RES_EPG0_R5302_RNMWEST_BCF.A
## 14 NG.RES_EPG0_R5302_RTX07C_BCF.A
## 15 NG.RES_EPG0_R5302_SAL_BCF.A
## 16 NG.RES_EPG0_R5302_RTX08A_BCF.A
## 17 NG.RES_EPG0_R5302_RLASO_BCF.A
## 18 NG.RES_EPG0_R5302_SCA_BCF.A
## 19 NG.RES_EPG0_R5302_SMS_BCF.A
## 20 NG.RES_EPG0_R5302_SVA_BCF.A
## 21 NG.RES_EPG0_R5302_SKS_BCF.A
## 22 NG.RES_EPG0_R5302_NUS_BCF.A
## 23 NG.RES_EPG0_R5302_SWY_BCF.A
## 24 NG.RES_EPG0_R5302_SAR_BCF.A
## 25 NG.RES_EPG0_R5302_SCO_BCF.A
## 26 NG.RES_EPG0_R5302_SKY_BCF.A
## 27 NG.RES_EPG0_R5302_SND_BCF.A
## 28 NG.RES_EPG0_R5302_RTX10_BCF.A
## 29 NG.RES_EPG0_R5302_STX_BCF.A
## 30 NG.RES_EPG0_R5302_SOH_BCF.A
## 31 NG.RES_EPG0_R5302_SMI_BCF.A
## 32 NG.RES_EPG0_R5302_SOK_BCF.A
## 33 NG.RES_EPG0_R5302_RTX01_BCF.A
## 34 NG.RES_EPG0_R5302_SNM_BCF.A
## 35 NG.RES_EPG0_R5302_SWV_BCF.A
## 36 NG.RES_EPG0_R5302_RTX05_BCF.A
## 37 NG.RES_EPG0_R5302_RTX06_BCF.A
## 38 NG.RES_EPG0_R5302_RTX08_BCF.A
## 39 NG.RES_EPG0_R5302_SLA_BCF.A
## name f
## 1 Pennsylvania Shale Production, Annual A
## 2 Eastern States Shale Production, Annual A
## 3 New Mexico--East Shale Production, Annual A
## 4 Texas--RRC District 9 Shale Production, Annual A
## 5 Texas--RRC District 2 onsh Shale Production, Annual A
## 6 Texas--RRC District 7B Shale Production, Annual A
## 7 Texas--RRC District 3 onsh Shale Production, Annual A
## 8 Alaska (with Total Offshore) Shale Production, Annual A
## 9 Louisiana--North Shale Production, Annual A
## 10 Western States Shale Production, Annual A
## 11 Texas--RRC District 4 onsh Shale Production, Annual A
## 12 Montana Shale Production, Annual A
## 13 New Mexico--West Shale Production, Annual A
## 14 Texas--RRC District 7C Shale Production, Annual A
## 15 Alabama (with State Offshore) Shale Production, Annual A
## 16 Texas--RRC District 8A Shale Production, Annual A
## 17 Louisiana--South Onshore Shale Production, Annual A
## 18 California (with State off) Shale Production, Annual A
## 19 Mississippi (with State off) Shale Production, Annual A
## 20 Virginia Shale Production, Annual A
## 21 Kansas Shale Production, Annual A
## 22 U.S. Shale Production, Annual A
## 23 Wyoming Shale Production, Annual A
## 24 Arkansas Shale Production, Annual A
## 25 Colorado Shale Production, Annual A
## 26 Kentucky Shale Production, Annual A
## 27 North Dakota Shale Production, Annual A
## 28 Texas--RRC District 10 Shale Production, Annual A
## 29 Texas (with State Offshore) Shale Production, Annual A
## 30 Ohio Shale Production, Annual A
## 31 Michigan Shale Production, Annual A
## 32 Oklahoma Shale Production, Annual A
## 33 Texas--RRC District 1 Shale Production, Annual A
## 34 New Mexico Shale Production, Annual A
## 35 West Virginia Shale Production, Annual A
## 36 Texas--RRC District 5 Shale Production, Annual A
## 37 Texas--RRC District 6 Shale Production, Annual A
## 38 Texas--RRC District 8 Shale Production, Annual A
## 39 Louisiana (with State Offshore) Shale Production, Annual A
## units updated
## 1 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 2 Billion Cubic Feet 13-AUG-13 11.49.51 AM
## 3 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 4 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 5 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 6 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 7 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 8 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 9 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 10 Billion Cubic Feet 13-AUG-13 11.49.51 AM
## 11 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 12 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 13 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 14 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 15 Billion Cubic Feet 13-AUG-13 11.49.51 AM
## 16 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 17 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 18 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 19 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 20 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 21 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 22 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 23 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 24 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 25 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 26 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 27 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 28 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 29 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 30 Billion Cubic Feet 08-JAN-15 03.30.42 PM
## 31 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 32 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 33 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 34 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 35 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 36 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 37 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 38 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 39 Billion Cubic Feet 04-DEC-14 10.46.54 AM
Series
Let's take a look at the annual series from North Dakota and Montana where a part of the Bakken formation is.
eia_series(api_key = api_key,
series_id = c("NG.RES_EPG0_R5302_SND_BCF.A", "NG.RES_EPG0_R5302_SMT_BCF.A"))
## $request
## $request$command
## [1] "series"
##
## $request$series_id
## [1] "NG.RES_EPG0_R5302_SND_BCF.A;NG.RES_EPG0_R5302_SMT_BCF.A"
##
##
## $series
## series_id name
## 1 NG.RES_EPG0_R5302_SND_BCF.A North Dakota Shale Production, Annual
## 2 NG.RES_EPG0_R5302_SMT_BCF.A Montana Shale Production, Annual
## units f unitsshort description copyright
## 1 Billion Cubic Feet A Bcf North Dakota Shale Production None
## 2 Billion Cubic Feet A Bcf Montana Shale Production None
## source iso3166 geography start end
## 1 EIA, U.S. Energy Information Administration USA-ND USA-ND 2007 2013
## 2 EIA, U.S. Energy Information Administration USA-MT USA-MT 2007 2013
## updated
## 1 2014-12-04T10:46:54-0500
## 2 2014-12-04T10:46:54-0500
##
## $data
## $data$`list(date = c("2013", "2012", "2011", "2010", "2009", "2008", "2007"), value = c(268, 203, 95, 64, 25, 3, 3))`
## date value
## 1 2013-01-01 268
## 2 2012-01-01 203
## 3 2011-01-01 95
## 4 2010-01-01 64
## 5 2009-01-01 25
## 6 2008-01-01 3
## 7 2007-01-01 3
##
## $data$`list(date = c("2013", "2012", "2011", "2010", "2009", "2008", "2007"), value = c(19, 16, 13, 13, 7, 13, 12))`
## date value
## 1 2013-01-01 19
## 2 2012-01-01 16
## 3 2011-01-01 13
## 4 2010-01-01 13
## 5 2009-01-01 7
## 6 2008-01-01 13
## 7 2007-01-01 12
That's a lot of information and I would rather have it in a more tidy format. When you select "tidy_long" two additional columns are added, describing the series time frame and the series_id.
eia_series(api_key = api_key,
series_id = c("NG.RES_EPG0_R5302_SND_BCF.A", "NG.RES_EPG0_R5302_SMT_BCF.A"),
tidy_data = "tidy_long",
only_data = TRUE)
## date value series_time_frame series_name
## 1 2013-01-01 268 A NG.RES_EPG0_R5302_SND_BCF.A
## 2 2012-01-01 203 A NG.RES_EPG0_R5302_SND_BCF.A
## 3 2011-01-01 95 A NG.RES_EPG0_R5302_SND_BCF.A
## 4 2010-01-01 64 A NG.RES_EPG0_R5302_SND_BCF.A
## 5 2009-01-01 25 A NG.RES_EPG0_R5302_SND_BCF.A
## 6 2008-01-01 3 A NG.RES_EPG0_R5302_SND_BCF.A
## 7 2007-01-01 3 A NG.RES_EPG0_R5302_SND_BCF.A
## 8 2013-01-01 19 A NG.RES_EPG0_R5302_SMT_BCF.A
## 9 2012-01-01 16 A NG.RES_EPG0_R5302_SMT_BCF.A
## 10 2011-01-01 13 A NG.RES_EPG0_R5302_SMT_BCF.A
## 11 2010-01-01 13 A NG.RES_EPG0_R5302_SMT_BCF.A
## 12 2009-01-01 7 A NG.RES_EPG0_R5302_SMT_BCF.A
## 13 2008-01-01 13 A NG.RES_EPG0_R5302_SMT_BCF.A
## 14 2007-01-01 12 A NG.RES_EPG0_R5302_SMT_BCF.A
krose/eia documentation built on May 20, 2019, 6:45 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Introduction
An R client for the EIA API. The API is currently in beta and can be subject to change.
Before you do anything head over to the EIA registration page and get an API key.
Installation
devtools::install_github("krose/eia")
Examples
Let's first load the library:
library(eia)
Category
The first function is the category function. If you don't supply any category_id you will simply get data on the top level category returned as a list:
eia_cat(api_key = api_key)
## $request
## $request$category_id
## [1] 371
##
## $request$command
## [1] "category"
##
##
## $category
## $category$category_id
## [1] "371"
##
## $category$parent_category_id
## NULL
##
## $category$name
## [1] "EIA Data Sets"
##
## $category$notes
## [1] ""
##
## $category$childcategories
## category_id name
## 1 40203 State Energy Data System (SEDS)
## 2 0 Electricity
## 3 714804 Natural Gas
## 4 714755 Petroleum
## 5 717234 Coal
## 6 829714 Short-Term Energy Outlook
## 7 964164 Annual Energy Outlook
## 8 1238399 Crude Oil Imports
##
## $category$childseries
## list()
These categories are deep, so you might find yourself searching through these until you get to the data series that you are interested.
Here's the first level of the natural gas category:
eia_cat(api_key = api_key, category_id = "714804")
## $request
## $request$category_id
## [1] 714804
##
## $request$command
## [1] "category"
##
##
## $category
## $category$category_id
## [1] "714804"
##
## $category$parent_category_id
## [1] "371"
##
## $category$name
## [1] "Natural Gas"
##
## $category$notes
## [1] ""
##
## $category$childcategories
## category_id name
## 1 714805 Summary
## 2 714806 Prices
## 3 714807 Exploration and Reserves
## 4 714814 Imports and Exports/Pipelines
## 5 714813 Production
## 6 714816 Consumption / End Use
## 7 714815 Storage
##
## $category$childseries
## list()
When you get to the final level the result is often a long list of "childseries" which ids the data series you can request.
eia_cat(api_key = api_key, category_id = 475136)
## $request
## $request$category_id
## [1] 475136
##
## $request$command
## [1] "category"
##
##
## $category
## $category$category_id
## [1] "475136"
##
## $category$parent_category_id
## [1] "714813"
##
## $category$name
## [1] "Shale Gas Production"
##
## $category$notes
## [1] ""
##
## $category$childcategories
## list()
##
## $category$childseries
## series_id
## 1 NG.RES_EPG0_R5302_SPA_BCF.A
## 2 NG.RES_EPG0_R5302_R1Z10_BCF.A
## 3 NG.RES_EPG0_R5302_RNMEAST_BCF.A
## 4 NG.RES_EPG0_R5302_RTX09_BCF.A
## 5 NG.RES_EPG0_R5302_RTX02_BCF.A
## 6 NG.RES_EPG0_R5302_RTX07B_BCF.A
## 7 NG.RES_EPG0_R5302_RTX03_BCF.A
## 8 NG.RES_EPG0_R5302_SAK_BCF.A
## 9 NG.RES_EPG0_R5302_RLAN_BCF.A
## 10 NG.RES_EPG0_R5302_R2X40_BCF.A
## 11 NG.RES_EPG0_R5302_RTX04_BCF.A
## 12 NG.RES_EPG0_R5302_SMT_BCF.A
## 13 NG.RES_EPG0_R5302_RNMWEST_BCF.A
## 14 NG.RES_EPG0_R5302_RTX07C_BCF.A
## 15 NG.RES_EPG0_R5302_SAL_BCF.A
## 16 NG.RES_EPG0_R5302_RTX08A_BCF.A
## 17 NG.RES_EPG0_R5302_RLASO_BCF.A
## 18 NG.RES_EPG0_R5302_SCA_BCF.A
## 19 NG.RES_EPG0_R5302_SMS_BCF.A
## 20 NG.RES_EPG0_R5302_SVA_BCF.A
## 21 NG.RES_EPG0_R5302_SKS_BCF.A
## 22 NG.RES_EPG0_R5302_NUS_BCF.A
## 23 NG.RES_EPG0_R5302_SWY_BCF.A
## 24 NG.RES_EPG0_R5302_SAR_BCF.A
## 25 NG.RES_EPG0_R5302_SCO_BCF.A
## 26 NG.RES_EPG0_R5302_SKY_BCF.A
## 27 NG.RES_EPG0_R5302_SND_BCF.A
## 28 NG.RES_EPG0_R5302_RTX10_BCF.A
## 29 NG.RES_EPG0_R5302_STX_BCF.A
## 30 NG.RES_EPG0_R5302_SOH_BCF.A
## 31 NG.RES_EPG0_R5302_SMI_BCF.A
## 32 NG.RES_EPG0_R5302_SOK_BCF.A
## 33 NG.RES_EPG0_R5302_RTX01_BCF.A
## 34 NG.RES_EPG0_R5302_SNM_BCF.A
## 35 NG.RES_EPG0_R5302_SWV_BCF.A
## 36 NG.RES_EPG0_R5302_RTX05_BCF.A
## 37 NG.RES_EPG0_R5302_RTX06_BCF.A
## 38 NG.RES_EPG0_R5302_RTX08_BCF.A
## 39 NG.RES_EPG0_R5302_SLA_BCF.A
## name f
## 1 Pennsylvania Shale Production, Annual A
## 2 Eastern States Shale Production, Annual A
## 3 New Mexico--East Shale Production, Annual A
## 4 Texas--RRC District 9 Shale Production, Annual A
## 5 Texas--RRC District 2 onsh Shale Production, Annual A
## 6 Texas--RRC District 7B Shale Production, Annual A
## 7 Texas--RRC District 3 onsh Shale Production, Annual A
## 8 Alaska (with Total Offshore) Shale Production, Annual A
## 9 Louisiana--North Shale Production, Annual A
## 10 Western States Shale Production, Annual A
## 11 Texas--RRC District 4 onsh Shale Production, Annual A
## 12 Montana Shale Production, Annual A
## 13 New Mexico--West Shale Production, Annual A
## 14 Texas--RRC District 7C Shale Production, Annual A
## 15 Alabama (with State Offshore) Shale Production, Annual A
## 16 Texas--RRC District 8A Shale Production, Annual A
## 17 Louisiana--South Onshore Shale Production, Annual A
## 18 California (with State off) Shale Production, Annual A
## 19 Mississippi (with State off) Shale Production, Annual A
## 20 Virginia Shale Production, Annual A
## 21 Kansas Shale Production, Annual A
## 22 U.S. Shale Production, Annual A
## 23 Wyoming Shale Production, Annual A
## 24 Arkansas Shale Production, Annual A
## 25 Colorado Shale Production, Annual A
## 26 Kentucky Shale Production, Annual A
## 27 North Dakota Shale Production, Annual A
## 28 Texas--RRC District 10 Shale Production, Annual A
## 29 Texas (with State Offshore) Shale Production, Annual A
## 30 Ohio Shale Production, Annual A
## 31 Michigan Shale Production, Annual A
## 32 Oklahoma Shale Production, Annual A
## 33 Texas--RRC District 1 Shale Production, Annual A
## 34 New Mexico Shale Production, Annual A
## 35 West Virginia Shale Production, Annual A
## 36 Texas--RRC District 5 Shale Production, Annual A
## 37 Texas--RRC District 6 Shale Production, Annual A
## 38 Texas--RRC District 8 Shale Production, Annual A
## 39 Louisiana (with State Offshore) Shale Production, Annual A
## units updated
## 1 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 2 Billion Cubic Feet 13-AUG-13 11.49.51 AM
## 3 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 4 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 5 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 6 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 7 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 8 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 9 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 10 Billion Cubic Feet 13-AUG-13 11.49.51 AM
## 11 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 12 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 13 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 14 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 15 Billion Cubic Feet 13-AUG-13 11.49.51 AM
## 16 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 17 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 18 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 19 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 20 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 21 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 22 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 23 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 24 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 25 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 26 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 27 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 28 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 29 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 30 Billion Cubic Feet 08-JAN-15 03.30.42 PM
## 31 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 32 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 33 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 34 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 35 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 36 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 37 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 38 Billion Cubic Feet 04-DEC-14 10.46.54 AM
## 39 Billion Cubic Feet 04-DEC-14 10.46.54 AM
Series
Let's take a look at the annual series from North Dakota and Montana where a part of the Bakken formation is.
eia_series(api_key = api_key,
series_id = c("NG.RES_EPG0_R5302_SND_BCF.A", "NG.RES_EPG0_R5302_SMT_BCF.A"))
## $request
## $request$command
## [1] "series"
##
## $request$series_id
## [1] "NG.RES_EPG0_R5302_SND_BCF.A;NG.RES_EPG0_R5302_SMT_BCF.A"
##
##
## $series
## series_id name
## 1 NG.RES_EPG0_R5302_SND_BCF.A North Dakota Shale Production, Annual
## 2 NG.RES_EPG0_R5302_SMT_BCF.A Montana Shale Production, Annual
## units f unitsshort description copyright
## 1 Billion Cubic Feet A Bcf North Dakota Shale Production None
## 2 Billion Cubic Feet A Bcf Montana Shale Production None
## source iso3166 geography start end
## 1 EIA, U.S. Energy Information Administration USA-ND USA-ND 2007 2013
## 2 EIA, U.S. Energy Information Administration USA-MT USA-MT 2007 2013
## updated
## 1 2014-12-04T10:46:54-0500
## 2 2014-12-04T10:46:54-0500
##
## $data
## $data$`list(date = c("2013", "2012", "2011", "2010", "2009", "2008", "2007"), value = c(268, 203, 95, 64, 25, 3, 3))`
## date value
## 1 2013-01-01 268
## 2 2012-01-01 203
## 3 2011-01-01 95
## 4 2010-01-01 64
## 5 2009-01-01 25
## 6 2008-01-01 3
## 7 2007-01-01 3
##
## $data$`list(date = c("2013", "2012", "2011", "2010", "2009", "2008", "2007"), value = c(19, 16, 13, 13, 7, 13, 12))`
## date value
## 1 2013-01-01 19
## 2 2012-01-01 16
## 3 2011-01-01 13
## 4 2010-01-01 13
## 5 2009-01-01 7
## 6 2008-01-01 13
## 7 2007-01-01 12
That's a lot of information and I would rather have it in a more tidy format. When you select "tidy_long" two additional columns are added, describing the series time frame and the series_id.
eia_series(api_key = api_key,
series_id = c("NG.RES_EPG0_R5302_SND_BCF.A", "NG.RES_EPG0_R5302_SMT_BCF.A"),
tidy_data = "tidy_long",
only_data = TRUE)
## date value series_time_frame series_name
## 1 2013-01-01 268 A NG.RES_EPG0_R5302_SND_BCF.A
## 2 2012-01-01 203 A NG.RES_EPG0_R5302_SND_BCF.A
## 3 2011-01-01 95 A NG.RES_EPG0_R5302_SND_BCF.A
## 4 2010-01-01 64 A NG.RES_EPG0_R5302_SND_BCF.A
## 5 2009-01-01 25 A NG.RES_EPG0_R5302_SND_BCF.A
## 6 2008-01-01 3 A NG.RES_EPG0_R5302_SND_BCF.A
## 7 2007-01-01 3 A NG.RES_EPG0_R5302_SND_BCF.A
## 8 2013-01-01 19 A NG.RES_EPG0_R5302_SMT_BCF.A
## 9 2012-01-01 16 A NG.RES_EPG0_R5302_SMT_BCF.A
## 10 2011-01-01 13 A NG.RES_EPG0_R5302_SMT_BCF.A
## 11 2010-01-01 13 A NG.RES_EPG0_R5302_SMT_BCF.A
## 12 2009-01-01 7 A NG.RES_EPG0_R5302_SMT_BCF.A
## 13 2008-01-01 13 A NG.RES_EPG0_R5302_SMT_BCF.A
## 14 2007-01-01 12 A NG.RES_EPG0_R5302_SMT_BCF.A
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.