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It's more work to verify all formulas that reference unnamed variables in a spreadsheet than to review the code inputs and outputs in a notebook.

"Teaching Pandas and Jupyter to Northwestern journalism students" [in DC] https://www.californiacivicdata.org/2017/06/07/dc-python-not...

> http://www.firstpythonnotebook.org/

You can also develop d3.js visualizations — just like NYT — with jupyter notebooks and whichever language(s).

"Data-Driven Journalism" ("ddj") https://en.wikipedia.org/wiki/Data-driven_journalism

http://datadrivenjournalism.net/

"The Data Journalism Handbook 1" https://datajournalism.com/read/handbook/one

"The Data Journalism Handbook 2" https://datajournalism.com/read/handbook/two

While there are a number of ScholarlyArticle journals that can publish notebooks, I'm not aware of any newspapers that are prepared to publish notebooks as NewsArticles. It's pretty easy to `jupyter convert --to html` and `--to markdown` or just 'Save as'

Regarding expressing facts as verifiable claims with structured data in HTML and/or blockchains: "Fact Checks" https://news.ycombinator.com/item?id=15529140

Does this course recommend linking to every source dataset and/or including full citations (with DOI) in the article? Does this course recommend getting a free DOI for the published revision of an e.g. GitHub project repository (containing data, and notebooks and/or the article text) with Zenodo?




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