Tag: Data + Journalism
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Data Scraping Exercise Tweak
By Mike Reilley If you are doing the data scraping exercise in Chapter 3, Page 52, exercise 1, here is a small tweak you need to make to the process. And you can thank the federal government. In order to scrape all 600-plus failed banks from the FDIC failed banks list, you must first select…
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Bonus Chapter: Diversity, Equity and Inclusion in Data Reporting
By Samantha Sunne As data collection, algorithms and social media become more and more influential in a reporter’s day-to-day life, journalists should grapple with a question: How can we incorporate data, and keep up with trends, while keeping diversity and inclusion in mind? How can we avoid leaving some groups behind, or emphasizing a status…
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Data + Journalism: A Story-Driven Approach to Learning Data Journalism
Reporting data-driven stories means following a process. Data + Journalism takes you from A to Z, from acquiring data to scraping, cleaning, analyzing, writing and visualizing data. The book also addresses how to share data and build public trust with data, as well as interviews with top data journalists, training videos and hands-on exercises to elevate your…
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Read More: Chapter 11 – Twitter Threads as Transparency
In chapter 11 of Data + Journalism, we explore ethics and transparency in data storytelling. One of the ways in which journalists can do this is to take their data diary — a live doc of steps they followed to produce the story and visualizations — and turn it into a Twitter thread. Twitter threads…
Data + Journalism 