https://github.com/njdehoog/awesome-data-journalism
A curated list of resources for (aspiring) data journalists
https://github.com/njdehoog/awesome-data-journalism
List: awesome-data-journalism
data-driven-journalism data-journalism data-journalists journalism open-data open-datasets visualization
Last synced: 4 months ago
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A curated list of resources for (aspiring) data journalists
- Host: GitHub
- URL: https://github.com/njdehoog/awesome-data-journalism
- Owner: njdehoog
- License: cc-by-4.0
- Created: 2020-09-10T16:29:41.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-09-30T15:18:13.000Z (over 5 years ago)
- Last Synced: 2024-05-21T05:01:51.685Z (about 2 years ago)
- Topics: data-driven-journalism, data-journalism, data-journalists, journalism, open-data, open-datasets, visualization
- Homepage:
- Size: 23.4 KB
- Stars: 21
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# Awesome Data Journalism [](https://awesome.re)
_A curated list of resources for (aspiring) data journalists_
## Contents
* [Books](#books)
* [Online courses and tutorials](#online-courses-and-tutorials)
* [Tools](#tools)
* [Data sources](#data-sources)
## Books
* [Data Journalism Handbook 1](https://datajournalism.com/read/handbook/one) - An introduction to data journalism with contributions from many leaders in the field.
* [Data Journalism Handbook 2](https://datajournalism.com/read/handbook/two) - Released as a complement to the first book. It provides a critical look at the practice of data journalism.
* [The Art and Science of Data-driven Journalism](https://academiccommons.columbia.edu/doi/10.7916/D8Q531V1) - An introduction to the use of data in journalism published by Columbia University.
* [The Curious Journalist's Guide to Data](https://www.cjr.org/tow_center_reports/the_curious_journalists_guide_to_data.php) ([PDF](https://assets.documentcloud.org/documents/2790871/Curious-Journalist-S-Guide-to-Data.pdf)) - On the difficulties of quantifying the world around us, and conveying this information in a meaningful way.
* [Data Journalism Heist](https://leanpub.com/DataJournalismHeist) - A practical guide to getting started with data journalism.
## Articles
* [Continue, Pivot, or Put it Down](https://pudding.cool/process/pivot-continue-down/) - The pudding, which does quirky, data-driven stories, explains their process to go from idea to publishing.
* [7 common angles for data stories](https://onlinejournalismblog.com/2020/08/11/here-are-the-7-types-of-stories-most-often-found-in-data/) - A list of common angles for data-driven stories.
* [Communicating with Interactive Articles](https://distill.pub/2020/communicating-with-interactive-articles/) - Comprehensive and accessible analysis of different techniques for interactive storytelling.
* [Applying Racial Equity Awareness in Data Visualization](https://medium.com/@urban_institute/applying-racial-equity-awareness-in-data-visualization-bd359bf7a7ff) - A guide to inclusivity in data visualization.
## Online courses and tutorials
* [Doing Journalism with Data: First Steps, Skills and Tools](https://datajournalism.com/watch/doing-journalism-with-data-first-steps-skills-and-tools) - Covers everything from finding the right data to telling stories with visualisation.
* [Data Journalism and Visualization with Free Tools](https://journalismcourses.org/course/data-journalism-and-visualization-with-free-tools/) - Self-directed course led by Alberto Cairo and Simon Rogers.
* [Python for Journalists](https://datajournalism.com/watch/python-for-journalists) - Dutch data journalist Winny de Jong explains the most common uses of Python for journalists.
* [R for Journalists](https://learn.r-journalism.com/en/) - Learn how to use R for data analysis.
## Tools
### Visualisation
* [Tableau](https://www.tableau.com) - Create interactive visualisations without needing to code.
* [Datawrapper](https://www.datawrapper.de) - Free tool for creating embeddable charts and maps.
* [Flourish](https://flourish.studio) - Create charts, maps and interactive stories.
* [Gephi](https://gephi.org) - Open source visual analysis tool.
* [QGIS](https://qgis.org/en/site/) - Open source tool for working with geospatial data.
### Data wrangling
* [OpenRefine](https://openrefine.org) - An open source tool for cleaning messy data.
### Miscellaneous
* [Klaxon](https://github.com/themarshallproject/klaxon) - Get an email when a website changes.
* [Sherlock](https://github.com/sherlock-project/sherlock) - Track down social media accounts for a username.
## Data sources
* [Bellingcat's Online Investigation Toolkit](https://docs.google.com/document/d/1BfLPJpRtyq4RFtHJoNpvWQjmGnyVkfE2HYoICKOGguA/edit) - An extensive list of resources for finding the information you need.
* [OpenCorporates](https://opencorporates.com) - An open database of companies from around the world.
* [Awesome Public Datasets](https://github.com/awesomedata/awesome-public-datasets) - An awesome list specifically for public datasets.
* [EU Open Data Portal](https://data.europa.eu/euodp/en/home) - Provides access to open data published by EU institutions and bodies.
* [European Data Portal](https://www.europeandataportal.eu/en) - Aggregator for public data from across Europe.
* [Our World in Data](https://ourworldindata.org/#entries) - More than 3000 charts across 297 topics.
* [Google Dataset Search](https://datasetsearch.research.google.com) - Google's search engine for publicly available datasets.
* [World Bank Open Data](https://data.worldbank.org) - Provides access to global development data.