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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馃憠Use:
- Requests to fetch the HTML.
- BeautifulSoup to find an id, classes, tags, tables, etc
- CSV to write a new file 馃帄
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鉁匩avigate the source code of a page to scrape the exact elements you need.
鉁匩arrow down cells of a table with for loops
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鉁嶏笍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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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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Our #data reporter @JefferiesDanica is diving deep into QGIS in today鈥檚 #NICAR22 session with @willdahlgreen and @England_Rob_. Stay tuned for insights!
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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鈥檚 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鈥檚 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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