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Files | Size | Format | Created | Updated | License | Source |
---|---|---|---|---|---|---|
9 | 605kB | csv zip | 6 years ago | ODC-PDDL-1.0 | Daily Europe Brent Spot Price Weekly Europe Brent Spot Price Monthly Europe Brent Spot Price Annual Europe Brent Spot Price Daily Cushing, OK WTI Spot Price Weekly Cushing, OK WTI Spot Price Monthly Cushing, OK WTI Spot Price Annual Cushing, OK WTI Spot Price |
Download files in this dataset
File | Description | Size | Last changed | Download |
---|---|---|---|---|
brent-week | 26kB | csv (26kB) , json (73kB) | ||
brent-month | 6kB | csv (6kB) , json (17kB) | ||
brent-year | 547B | csv (547B) , json (1kB) | ||
wti-week | 28kB | csv (28kB) , json (74kB) | ||
wti-month | 6kB | csv (6kB) , json (17kB) | ||
wti-year | 559B | csv (559B) , json (1kB) | ||
brent-day | 128kB | csv (128kB) , json (356kB) | ||
wti-day | 133kB | csv (133kB) , json (356kB) | ||
datapackage_zip | Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. | 308kB | zip (308kB) |
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This is a preview version. There might be more data in the original version.
Field Name | Order | Type (Format) | Description |
---|---|---|---|
Date | 1 | date (%Y-%m-%d) | YYYY-MM-DD |
Brent Spot Price | 2 | number | Europe Brent Spot Price FOB (Dollars per Barrel) |
Signup to Premium Service for additional or customised data - Get Started
This is a preview version. There might be more data in the original version.
Field Name | Order | Type (Format) | Description |
---|---|---|---|
Date | 1 | date (%Y-%m-%d) | YYYY-MM |
Brent Spot Price | 2 | number | Europe Brent Spot Price FOB (Dollars per Barrel) |
Signup to Premium Service for additional or customised data - Get Started
This is a preview version. There might be more data in the original version.
Field Name | Order | Type (Format) | Description |
---|---|---|---|
Date | 1 | date (%Y-%m-%d) | YYYY |
Brent Spot Price | 2 | number | Europe Brent Spot Price FOB (Dollars per Barrel) |
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This is a preview version. There might be more data in the original version.
Field Name | Order | Type (Format) | Description |
---|---|---|---|
Date | 1 | date (%Y-%m-%d) | YYYY-MM-DD |
WTI Spot Price | 2 | number | Cushing, OK WTI Spot Price FOB (Dollars per Barrel) |
Signup to Premium Service for additional or customised data - Get Started
This is a preview version. There might be more data in the original version.
Field Name | Order | Type (Format) | Description |
---|---|---|---|
Date | 1 | date (%Y-%m-%d) | YYYY-MM |
WTI Spot Price | 2 | number | Cushing, OK WTI Spot Price FOB (Dollars per Barrel) |
Signup to Premium Service for additional or customised data - Get Started
This is a preview version. There might be more data in the original version.
Field Name | Order | Type (Format) | Description |
---|---|---|---|
Date | 1 | date (%Y-%m-%d) | YYYY |
WTI Spot Price | 2 | number | Cushing, OK WTI Spot Price FOB (Dollars per Barrel) |
Signup to Premium Service for additional or customised data - Get Started
This is a preview version. There might be more data in the original version.
Field Name | Order | Type (Format) | Description |
---|---|---|---|
Date | 1 | date (%Y-%m-%d) | YYYY-MM-DD |
Brent Spot Price | 2 | number | Europe Brent Spot Price FOB (Dollars per Barrel) |
Signup to Premium Service for additional or customised data - Get Started
This is a preview version. There might be more data in the original version.
Field Name | Order | Type (Format) | Description |
---|---|---|---|
Date | 1 | date (%Y-%m-%d) | YYYY-MM-DD |
WTI Spot Price | 2 | number | Cushing, OK WTI Spot Price FOB (Dollars per Barrel) |
Use our data-cli tool designed for data wranglers:
data get https://datahub.io/core/oil-prices
data info core/oil-prices
tree core/oil-prices
# Get a list of dataset's resources
curl -L -s https://datahub.io/core/oil-prices/datapackage.json | grep path
# Get resources
curl -L https://datahub.io/core/oil-prices/r/0.csv
curl -L https://datahub.io/core/oil-prices/r/1.csv
curl -L https://datahub.io/core/oil-prices/r/2.csv
curl -L https://datahub.io/core/oil-prices/r/3.csv
curl -L https://datahub.io/core/oil-prices/r/4.csv
curl -L https://datahub.io/core/oil-prices/r/5.csv
curl -L https://datahub.io/core/oil-prices/r/6.csv
curl -L https://datahub.io/core/oil-prices/r/7.csv
curl -L https://datahub.io/core/oil-prices/r/8.zip
If you are using R here's how to get the data you want quickly loaded:
install.packages("jsonlite", repos="https://cran.rstudio.com/")
library("jsonlite")
json_file <- 'https://datahub.io/core/oil-prices/datapackage.json'
json_data <- fromJSON(paste(readLines(json_file), collapse=""))
# get list of all resources:
print(json_data$resources$name)
# print all tabular data(if exists any)
for(i in 1:length(json_data$resources$datahub$type)){
if(json_data$resources$datahub$type[i]=='derived/csv'){
path_to_file = json_data$resources$path[i]
data <- read.csv(url(path_to_file))
print(data)
}
}
Note: You might need to run the script with root permissions if you are running on Linux machine
Install the Frictionless Data data package library and the pandas itself:
pip install datapackage
pip install pandas
Now you can use the datapackage in the Pandas:
import datapackage
import pandas as pd
data_url = 'https://datahub.io/core/oil-prices/datapackage.json'
# to load Data Package into storage
package = datapackage.Package(data_url)
# to load only tabular data
resources = package.resources
for resource in resources:
if resource.tabular:
data = pd.read_csv(resource.descriptor['path'])
print (data)
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('https://datahub.io/core/oil-prices/datapackage.json')
# print list of all resources:
print(package.resource_names)
# print processed tabular data (if exists any)
for resource in package.resources:
if resource.descriptor['datahub']['type'] == 'derived/csv':
print(resource.read())
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 = 'https://datahub.io/core/oil-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 list of all resources:
for (const id in dataset.resources) {
console.log(dataset.resources[id]._descriptor.name)
}
// get all tabular data(if exists any)
for (const id in dataset.resources) {
if (dataset.resources[id]._descriptor.format === "csv") {
const file = dataset.resources[id]
// Get a raw stream
const stream = await file.stream()
// entire file as a buffer (be careful with large files!)
const buffer = await file.buffer
// print data
stream.pipe(process.stdout)
}
}
})()
Europe Brent and WTI (Western Texas Intermediate) Spot Prices (Annual/ Monthly/ Weekly/ Daily) from EIA U.S. (Energy Information Administration).
20 May 1987 - Today
01 February 1986 - Today
A blended crude stream produced in the North Sea region which serves as a reference or “marker” for pricing a number of other crude streams. source
A crude stream produced in Texas and southern Oklahoma which serves as a reference or “marker” for pricing a number of other crude streams and which is traded in the domestic spot market at Cushing, Oklahoma. source
U.S. government publications are in the public domain and are not subject to copyright protection. You may use and/or distribute any of our data, files, databases, reports, graphs, charts, and other information products that are on our website or that you receive through our email distribution service. However, if you use or reproduce any of our information products, you should use an acknowledgment, which includes the publication date, such as: “Source: U.S. Energy Information Administration (Oct 2008).”
You may find further information here
All the additional work made to build this Data Package is made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://www.opendatacommons.org/licenses/pddl/1.0/
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