US Natural Gas Prices

JohnSnowLabs

Files Size Format Created Updated License Source
2 386kB csv zip 2 weeks ago John Snow Labs Standard License John Snow Labs U.S. Energy Information Administration
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Data Files

File Description Size Last changed Download Other formats
us-natural-gas-prices-csv [csv] 32kB us-natural-gas-prices-csv [csv] us-natural-gas-prices-csv [json] (268kB)
us-natural-gas-prices_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 41kB us-natural-gas-prices_zip [zip]

us-natural-gas-prices-csv  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
Date 1 date (%Y-%m-%d) Month and year of data compilation
Wellhead_Price 2 number Price of natural gas calculated by dividing the total reported value at the wellhead by the total quantity produced as reported by the appropriate agencies of individual producing States and the U.S. Bureau of Ocean Energy Management, Regulation and Enforcement. The price includes all costs prior to shipment from the lease, including gathering and compression costs, in addition to State production, severance, and similar charges. The Wellhead Price estimate has been discontinued as of January 2013. Prices are calculated in "Dollars per Thousand Cubic Feet".
Natural_Gas_Imports_Price 3 number Natural Gas received in the Continental United States (including Alaska) from a foreign country. Prices are calculated in "Dollars per Thousand Cubic Feet".
Pipeline_Imports_Price 4 number Price of natural gas imported by pipeline. Prices are calculated in "Dollars per Thousand Cubic Feet".
LNG_Imports_Price 5 number Price of imported LNG (Liquified Natural Gas). Prices are calculated in "Dollars per Thousand Cubic Feet".
Natural_Gas_Exports_Price 6 number Natural Gas deliveries out of the Continental United States and Alaska to foreign countries. Prices are calculated in "Dollars per Thousand Cubic Feet".
Pipeline_Exports_Price 7 number Price of natural gas exported by pipeline. Prices are calculated in "Dollars per Thousand Cubic Feet".
Liquefied_Gas_Exports_Price 8 number Price of exported LNG (Liquified Natural Gas). Prices are calculated in "Dollars per Thousand Cubic Feet".
Citygate_Price 9 number City gate price of natural gas in U.S. Citygate is a point or measuring station at which a distributing gas utility receives gas from a natural gas pipeline company or transmission system. Prices are calculated in "Dollars per Thousand Cubic Feet".
Price_of_Gas_Delivered_to_Residential_Consumers 10 number The price of gas used in private dwellings, including apartments, for heating, cooking, water heating, and other household uses. Prices are calculated in "Dollars per Thousand Cubic Feet".
Percent_Total_Residential_Sales 11 number U.S. Natural Gas percentage of Total Residential Sales
Price_of_Gas_Sold_to_Commercial_Consumers 12 number The price of gas used by nonmanufacturing establishments or agencies primarily engaged in the sale of goods or services such as hotels, restaurants, wholesale and retail stores and other service enterprises; and gas used by local, State and Federal agencies engaged in nonmanufacturing activities. Prices are calculated in "Dollars per Thousand Cubic Feet".
Percent_Commercial_Deliveries 13 number Percent of Commercial Natural Gas Deliveries in U.S. Total Represented by the Price (%).
Industrial_Price 14 number The price of natural gas used for heat, power, or chemical feedstock by manufacturing establishments or those engaged in mining or other mineral extraction as well as consumers in agriculture, forestry, fisheries and construction. Prices are calculated in "Dollars per Thousand Cubic Feet".
Percent_Industrial_Deliveries 15 number Percent of Industrial Natural Gas Deliveries in U.S. Total Represented by the Price (%)
Electric_Power_Price 16 number The price of gas used by electricity generators (regulated utilities and non-regulated power producers) whose line of business is the generation of power. Prices are calculated in "Dollars per Thousand Cubic Feet".

us-natural-gas-prices_zip  

This is a preview version. There might be more data in the original version.

Read me

Import into your tool

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite")
library("jsonlite")

json_file <- "http://datahub.io/JohnSnowLabs/us-natural-gas-prices/datapackage.json"
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# access csv file by the index starting from 1
path_to_file = json_data$resources$path[1][1]
data <- read.csv(url(path_to_file))
print(data)

In order to work with Data Packages in Pandas you need to install the Frictionless Data data package library and the pandas extension:

pip install datapackage
pip install jsontableschema-pandas

To get the data run following code:

import datapackage

data_url = "http://datahub.io/JohnSnowLabs/us-natural-gas-prices/datapackage.json"

# to load Data Package into storage
storage = datapackage.push_datapackage(data_url, 'pandas')

# data frames available (corresponding to data files in original dataset)
storage.buckets

# you can access datasets inside storage, e.g. the first one:
storage[storage.buckets[0]]

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('http://datahub.io/JohnSnowLabs/us-natural-gas-prices/datapackage.json')

# get list of resources:
resources = package.descriptor['resources']
resourceList = [resources[x]['name'] for x in range(0, len(resources))]
print(resourceList)

data = package.resources[0].read()
print(data)

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'http://datahub.io/JohnSnowLabs/us-natural-gas-prices/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
(async () => {
  const dataset = await Dataset.load(path)

  // Get the first data file in this dataset
  const file = dataset.resources[0]
  // Get a raw stream
  const stream = await file.stream()
  // entire file as a buffer (be careful with large files!)
  const buffer = await file.buffer
})()

Install the datapackage library created specially for Ruby language using gem:

gem install datapackage

Now get the dataset and read the data:

require 'datapackage'

path = 'http://datahub.io/JohnSnowLabs/us-natural-gas-prices/datapackage.json'

package = DataPackage::Package.new(path)
# So package variable contains metadata. You can see it:
puts package

# Read data itself:
resource = package.resources[0]
data = resource.read
puts data
Datapackage.json