Storybench

An under the hood guide to the future of storytelling from Northeastern University's Media Innovation program.

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Read how NBC Bay Area Investigative Reporter @Chris_Chmura is breaking grounds in traditional video-storytelling methods in the TV News industry #graphics #Animations @MaaishaO and Gabriel Cohen https://t.co/Oo0xXaRF4F

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👉Use: - Requests to fetch the HTML. - BeautifulSoup to find an id, classes, tags, tables, etc - CSV to write a new file 🎊

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✅Navigate the source code of a page to scrape the exact elements you need. ✅Narrow down cells of a table with for loops

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✍️The strategy of basic scraping revolves around identifying individual elements in HTML before processing.

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Journalists can perform web scrapes to download data from a website, reformat for analysis, and include its findings in a story.

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.@NU_journalism student @ZhaozhouDai takes on QGIS at #NICAR22! https://t.co/vcHoFQm41V

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Explore data in QGIS before sending off to a visualization team using SQL to filter both polygons and labels. In this example, @willdahlgreen and @England_Rob_ from the BBC to locate solar power plants in Georgia's most populated counties. https://t.co/wjQheihzCC

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Our #data reporter @JefferiesDanica is diving deep into QGIS in today’s #NICAR22 session with @willdahlgreen and @England_Rob_. Stay tuned for insights!

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Stay tuned for #NICAR22 insights from @rob_barry, @sarahcnyt, @AndrewFordNews, @jeffykao, @mayatmiller and @luluramadan on how they gathered, cleaned, analyzed and visualized the data behind some of the year's biggest stories. Live coverage by @sharmilakg

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Learn some of the most dangerous mistakes and assumptions that come up in using data in the newsroom in this #NICAR22 panel by @LindstromNews, @crit and @shawnmcintosh. Live coverage by @sharmilakg

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Stay tuned for insights by @JefferiesDanica from @allanjvestal’s session on using #Python to scrape #data from websites.

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#Pandas makes text scraping easy with string extracts. In this example, extract the BAC values from a text descriptions to calculate a mean, says @JefferiesDanica https://t.co/4U1cOuevOI

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Python and R, rather than Excel, allow reporters to share a trail of their work to editors and others on their teams.

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Our #data reporter @JefferiesDanica will be covering Jonathan Soma’s session on #Python: Intro to #data analysis using #Pandas. Stay tuned for tips on how to slice, dice, load, filter and do more with Pandas. #NICAR22 #StorybenchNICAR22

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In journalism, #Python is best used for automation, scraping and analyzing #data, and sometimes for visualizations.

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