What is a Data Desk?
summary
Shows concrete claims and repeatable tools: how Python + pandas in Jupyter notebooks and requests + BeautifulSoup scrape county sites, how GeoPandas spatial join and a Django admin turn parcel and assessor files into analyses, and how that work finds a ~50% property tax break worth roughly $2M a year for one enclave. Demonstrations include scrapers, election parsers, Observable/D3 shot charts, and an open Cal-Access pipeline — code, data, dashboards and published stories that actually work.
AI-written summary · about
chapters (12)
- 0:00Data Desk at LA Times
- 2:13Programmers in newsrooms
- 16:43Data to investigative stories
- 20:09News into databases
- 26:12Software and data pipelines
- 30:44Open-source projects
- 39:36Press and fake news
- 41:22Team roles and collaboration
- 45:38Open-source vs advantage
- 47:21Future of LA Times
- 49:27Statistical journalism
- 50:31Q&A
