This is where NZZ Visuals describes methods and code used for our articles. Each project has its own sub-repository with scripts and a README.md containing the following information:
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A concise summary of what the scripts do, and what for.
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Which articles present results generated with those scripts ?
- Title+Link
- Publication date
- Concise summary
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Which data was used, where does it come from and how was it collected? We do aim at publishing datasets, unless there are important reasons not to. These may typically include legal constraints or privacy protection. Datasets available online will be linked to, scraped datasets will be left for the user to scrape using our scripts. We may further postpone the publication of particularly valuable datasets in cases where we plan follow-up stories based on them.
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If applicable: Which additional, non-trivial methods were used, and why?
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If needed: Concise summary of what script 1 does and what its output is. And why. The "why"-part may be considerably shortened if methods are laid out in 4.
- If applicable: Concise summary of what script 2 does and what the output looks like. And why.
- If applicable: ...
- If applicable: Concise summary of what script n-1 does and what the output looks like. And why.
- If applicable: Concise summary of what script n does and what the output looks like. And why.
- References
- To data sources
- To methods used
- To software used
We exclude liability for any damages or losses that may arise from using the materials made available by NZZ Visuals. We do not guarantee that the information therein is adequate, complete or up to date.