|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Tech.ml.dataset||596||25 days ago||251||January 05, 2021||8||epl-1.0||Clojure|
|A Clojure high performance data processing system|
|Energy Data||190||5 months ago||Python|
|Data on energy by Our World in Data|
|Arraytoexcel||33||2||22 days ago||16||November 14, 2023||mit||C#|
|Create Excel from Array (List, DataTable, DataSet, ...)|
|Iexportengine||13||3||a year ago||3||March 26, 2019||1||mit||C#|
|iTin Export Engine (ITEE). Is a standalone engine for data export of XML, DataSets, typed ArrayList, DataRow array inputs by native/custom writers to MS Excel, Comma-Separated Values (csv), Tab-Separated Values (txt), SQL Script (sql), XML Spreadsheet 2003 (xml), Portable Document Format (pdf), MS Excel (xlsx), MS Word (docx), using an XML configuration file or by code|
|Diffino||11||5 years ago||10||May 22, 2019||7||mit||Python|
|Diffing tools for comparing datasets in CSV, XLSX and other formats|
|Historicalminwage||10||a year ago||1||Stata|
|This repository contains the raw data, code, and sources used to create state and sub-state historical minimum wage datasets originally described in Vaghul and Zipperer (2016).|
|Obj_tables||7||2 years ago||17||September 08, 2020||25||mit||Python|
|Tools for creating and reusing high-quality spreadsheets|
|Fdbwordsets||3||7 years ago||3||other||R|
|Word and nonword sets culled from literature on naming and lexical decision.|
|Rod_test||2||6 years ago||CSS|
|For ROD test|
|Rubaialter||2||3 years ago||mit||Python|
|A module for altering datasets formats made on top of Pandas|
Our complete Energy dataset is a collection of key metrics maintained by Our World in Data. It is updated regularly and includes data on energy consumption (primary energy, per capita, and growth rates), energy mix, electricity mix and other relevant metrics.
The CSV and XLSX files follow a format of 1 row per location and year. The JSON version is split by country, with an array of yearly records.
The variables represent all of our main data related to energy consumption, energy mix, electricity mix as well as other variables of potential interest.
We will continue to publish updated data on energy as it becomes available. Most metrics are published on an annual basis.
A full codebook is made available, with a description and source for each variable in the dataset.
The dataset is built upon a number of datasets and processing steps:
Additionally, to construct region aggregates and variables per capita and per GDP, we use the following datasets and processing steps:
electricity_share_energy(electricity as a share of primary energy) was added to the dataset.
Europe (BP)corresponds to Europe as defined by BP.
fossil_cons_per_capitahas been renamed
fossil_elec_per_capitafor consistency, since it corresponds to electricity generation.
carbon_intensity_eleccolumn was added back into the energy dataset.
carbon_intensity_eleccolumn was removed from the energy dataset (since no updated data was available).
Europe (EI)corresponds to Europe as defined by the Energy Institute.
populationmetric, which is included in the complete dataset.
gdpmetric used in the calculation as part of the dataset.
All visualizations, data, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.
The data produced by third parties and made available by Our World in Data is subject to the license terms from the original third-party authors. We will always indicate the original source of the data in our database, and you should always check the license of any such third-party data before use.
This data has been collected, aggregated, and documented by Hannah Ritchie, Pablo Rosado, Edouard Mathieu, Max Roser.
Our World in Data makes data and research on the world’s largest problems understandable and accessible. Read more about our mission.
If you are using this dataset, please cite both Our World in Data and the underlying data source(s).
Please follow the guidelines in our FAQ on how to cite our work.