ISSUE 328 · March 23, 2021In the NewsWhat Data Can't Do"Whenever you try to force the real world to do something that can be counted, unintended consequences abound..." Why the Pandemic Experts FailedEvery day for the past year, the COVID Tracking Project collected COVID-19 data for the United States. In this retrospective, two of the project's founders share what they discovered about U.S. healthcare data, along with key insights about data usage in general. This is a great article that shows how the system "largely worked as designed." And that's a problem. Your Face Is Not Your OwnWhen the U.S. Ninth Circuit Court of Appeals ruled in 2019 that it's legal to scrape data from public websites, it was hard to know what dangers might be enabled for emerging technologies. It's early days still but Clearview AI is an interesting — and scary — player to watch. Sponsored LinkA Modern Data Architecture, co-written with SisuIn this guide, we’ll cover why modern data stacks scale better and when you should update your stack. Tutorials, Projects & OpinionsToward Better Data Culture From First PrinciplesUber collects and processes petabytes of data everyday for things like route optimization, fraud detection, pricing, and experimentation. This post explores issues they encountered while scaling and how they successfully approached them using First Principles. Effective Data MonitoringIf you're using alerts to monitor data quality issues, this post is for you. Here are ten tactics for reducing noise and optimizing your data alerts. Experimentation at TubiTubi's experimentation culture has been instrumental to the company's success. Over the past 3 years, the rate of experimentation at Tubi has increased 18x and one in three machine learning experiments in the last quarter showed KPI impact. This post explores how they do it. How To Make Smarter Data-driven Decisions at ScaleJoin this webinar to learn how fellow data and analytics leaders leverage centralized data through modernization and democratization initiatives. You’ll hear first-hand experiences using data as a strategic asset to drive smarter decisions – like when to launch new product offerings, where to automate manual processes, and how to earn customer trust. ResourcesNew edition of Data Journalism HandbookThis just-released edition of the Data Journalism Handbook offers a diverse collection of perspectives on how data journalism is done around the world. In its 54 chapters, leading researchers and practitioners offer both practical insight and critical reflection. Follow the links to download an open-access version or to purchase it in print. Data VisualizationWhich color scale to use when visualizing dataWhen visualizing data, you’re almost always working with color. This first post in a new series offers a great overview of color scales, how they're important, and why they're not as clear-cut as you might think. This is an awesome series with lots of examples and references. ggplot Wizardry: Tricks and Secrets for Beautiful Plots in RThis popular talk from the recent Outlier Conference includes a hands-on tutorial, slides, code, and a recording of the 20 minute presentation. Sign up to get Data Elixir's data science newsletter in your Inbox >> Data Elixir is curated and maintained by Lon Riesberg. If you have questions or suggestions for the newsletter, just reply back to this email. To find specific content from prior issues or to research topics, check out the catalogued Archives on Data Elixir's Search Page >> |