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Readers interested in learning more about how the Pew Research Center collects and analyzes its data and creates its visualizations may want to check out Pew's blog Decoded, hosted on Medium. Launched in June 2018, Decoded describes itself as providing "the 'how' behind the numbers, facts and trends shaping your world." Many articles in Decoded include how-to explanations for using software like R or Python to perform a specific task, which could make this a helpful resource for readers who are developing their own data analysis skills. Other articles take a broader approach, discussing how Pew handles challenges inherent to their work, such as how researchers adapt their survey methods to account for shifts in the way people use (and talk about) the internet, or how researchers can future-proof their work to avoid "technical debt" by ensuring that their code is clean and well-documented. While the language used in Decoded is largely approachable for general audiences, its content will likely be of greater interest to those with some background in the social sciences, data science, or statistics.
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Scout Publication
Date of Scout Publication 2019-08-09
Archived Scout Publication URL https://scout.wisc.edu/report/2019/0809

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