This is the accompanying repository for the Bloomberg Global Coal Countdown website.

Last update: Jun 01, 2022

Overview

This is the accompanying repository for the Bloomberg Global Coal Countdown (BGCC) website.

Data Sources
Dashboard Data
Schema and Validation
License

Data Sources

The data presented on the BGCC website comes from the following sources:

Global Energy Monitor's (GEM) Global Coal Plant Tracker (GCPT) and the accompanying GCPT status changes since 2015. GEM's GCPT dataset provides unit-level data and it is the basis for all calculations related to coal-plant capacity, status, technology and age.
Country-level coal phaseout strategies, country-level expected retirements and global emission pathways from University of Maryland's (UMD) Center for Global Sustainability (CGS). Datasets from UMD are outputs from published research, and are therefore mostly served as is with very few modifications for aesthetic purposes such as smooth interpolation.
Ember's Global Electricity Review 2021 data. Ember's dataset provides panel data over three dimensions, namely area (such as country and regions), year and variable (such as energy sources). It is used as the basis for all calculations related to energy mixes and trends.
In the Headlines content is scraped from CoalWire, published by GEM. A CoalWire issue consists of multiple articles, news and analysis pieces, which are individually presented on the BGCC site.
Research and analysis pieces as curated by Bloomberg Philanthropies.
Gapminder data, HYDE, and UN Population Division (2019) estimates as presented by Our World in Data's (OWD) world population data since 1800. This dataset is used for per-capita calculations with simple extrapolations for 2020.
Natural Earth Data's country vectors as presented by Graydon Hoare with our own manual modifications for aesthetic reasons in order to make the interactive map appear more presentable.
Country commitments to phasing out coal as well as no new coal are based on research from UMD CGS and the Powering Past Coal Alliance (PPCA).
Expected retirements by 2030 of each country are collected and maintained by PPCA.

The countries’ political affiliations such as EU27+1, G20, G7, OECD and PPCA are taken as of July 2021. We have decided to include the United Kingdom into the EU27+1 list in order to maintain comparability with other EU figures that have been reported in the past.

Dashboard Data

The resulting datasets are available for download as part of a release attached to the repository - see Releases.

The following JSONs correspond to a page on the BGCC website:

coal_capacity_landscape.json
coal_power_generation.json
country_main.json
homepage.json
newsfeed.json

The following JSONs are utility lookup datasets:

country_coal_status.json
country_iso_lookup.json
iso_country_lookup.json
website_texts.json

The mapbox.json data is uploaded one feature at a time to Mapbox using the Mapbox API. The country_bounding_boxes.json is used to center the map view on the selected country.

Schema and Validation

Each JSON file is accompanied by a Pydantic model, which is used as a schema documentation and runtime validation. The Pydantic models can be found in schema/models.py. The source code references two other files, namely schema/validation.py and schema/enum_key_value_pairs.py, which contain custom validators and valid country names and the corresponding ISO 3166-1 alpha-2 country codes.

In the docker directory, we make available a Dockerfile and a requirements.txt to build an ephemeral Docker container, which we used to generate the data at the time writing.

License

As the datasets are built upon the GEM's GCPT dataset, the BGCC datasets are also licensed under the CC BY-SA 4.0 license. Therefore, it is allowed to copy and redistribute, as well as to build upon the datasets for any purpose including for commercial purposes. If you do build upon the datasets, you must distribute it under the same license.

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Comments

Bump ipython from 7.26.0 to 7.31.1 in /docker
Bumps ipython from 7.26.0 to 7.31.1.

Commits

e321e76 release 7.31.1

67ca2b3 Merge pull request from GHSA-pq7m-3gw7-gq5x

2794330 back to dev

be343e7 release 7.31.0

0fcf2c4 Merge pull request #13428 from meeseeksmachine/auto-backport-of-pr-13427-on-7.x

b8db9b1 Backport PR #13427: wn 731

7f253dc Merge pull request #13412 from bnavigator/backport-inspect

4f26796 fix xxlimited_35 import name

77ca4a6 don't run nose-based iptest on py310, only pytest

533e509 back to decorator skip

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dependencies
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Bump lxml from 4.6.3 to 4.6.5 in /docker
Bumps lxml from 4.6.3 to 4.6.5.

Changelog

Sourced from lxml's changelog.

4.6.5 (2021-12-12)

Bugs fixed

A vulnerability (GHSL-2021-1038) in the HTML cleaner allowed sneaking script content through SVG images.

A vulnerability (GHSL-2021-1037) in the HTML cleaner allowed sneaking script content through CSS imports and other crafted constructs.

4.6.4 (2021-11-01)

Features added

GH#317: A new property system_url was added to DTD entities. Patch by Thirdegree.

GH#314: The STATIC_* variables in setup.py can now be passed via env vars. Patch by Isaac Jurado.

Commits

a9611ba Fix a test in Py2.

a3eacbc Prepare release of 4.6.5.

b7ea687 Update changelog.

69a7473 Cleaner: cover some more cases where scripts could sneak through in specially...

54d2985 Fix condition in test decorator.

4b220b5 Use the non-depcrecated TextTestResult instead of _TextTestResult (GH-333)

d85c6de Exclude a test when using the macOS system libraries because it fails with li...

cd4bec9 Add macOS-M1 as wheel build platform.

fd0d471 Install automake and libtool in macOS build to be able to install the latest ...

f233023 Cleaner: Remove SVG image data URLs since they can embed script content.

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Releases(v2.0.16)

Owner

GitHub Repository https://bloombergcoalcountdown.com/

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