Who uses libraries? Even in the stacks, there’s a political divide.; The Washington Post, October 4, 2024

 Andrew Van Dam, The Washington Post; Who uses libraries? Even in the stacks, there’s a political divide.

"When we took a look at the nation’s declining reading habits, our struggling bookstores and the prodigious number of books consumed by America’s top 1 percent of readers, scores of you wrote in with a singular question: What about the libraries?!

You people sure do love libraries! You wanted to know everything. Who are the biggest library users? How many of our books do we get from libraries? What else do we use libraries for?

We scoured all the government sources we could think of before turning to the cabal of polling prodigies over at YouGov to see what they could gin up.

As usual, YouGov exceeded our expectations, asking at least 50 library-related questions of 2,429 U.S. adults in April. They touched on just about everything: librarian approval ratings, restrictions on drag queen story times, number of books read. They also asked about the library services we actually use, up to and including how many of us avail ourselves of the library restrooms."

How to Start Thinking Like a Data Scientist; Harvard Business Review, 11/29/13

Thomas C. Redman, Harvard Business Review; How to Start Thinking Like a Data Scientist: "Slowly but steadily, data are forcing their way into every nook and cranny of every industry, company, and job. Managers who aren’t data savvy, who can’t conduct basic analyses, interpret more complex ones, and interact with data scientists are already at a disadvantage. Companies without a large and growing cadre of data-savvy managers are similarly disadvantaged. Fortunately, you don’t have to be a data scientist or a Bayesian statistician to tease useful insights from data. This post explores an exercise I’ve used for 20 years to help those with an open mind (and a pencil, paper, and calculator) get started. One post won’t make you data savvy, but it will help you become data literate, open your eyes to the millions of small data opportunities, and enable you work a bit more effectively with data scientists, analytics, and all things quantitative."