697. How To Read 2020 Polls Like A Pro 698. Visualizing Complex Science 699. What is machine learning, and how does it work? 700. Choosing Fonts for Your Data Visualization 701. Why linear mixed-effects models are probably not the solution to your missing data problems 702. Outstanding User Interfaces with Shiny 703. How I Taught […]
Year: 2020
How not to measure conspiracy beliefs #2
This is a brief update to a previous post on how to measure conspiracy beliefs. My point in the previous post was that a study published in Psychological Medicine used weird measures to capture conspiracy beliefs. In a letter to the editor, Sally McManus, Joanna D’Ardenne and Simon Wessely note that the response options provided […]
Observationer relateret til COVID-19
Her følger et par personlige observationer, primært skrevet til mig selv, så jeg på et tidspunkt i fremtiden kan minde mig selv om, hvad der blandt andet optog min opmærksomhed i (hvad der føles som) en historisk tid. Politik. Jeg kan se det ironiske i, at politikerne for år tilbage talte om 2020-planer. Reformer blev […]
De fire gamle partier i meningsmålingerne
Socialdemokratiet oplevede i forbindelse med COVID-19 en stor fremgang i meningsmålingerne. Men hvor stor er denne fremgang i et historisk perspektiv? Jeg har kigget nærmere på 773 meningsmålinger fra Gallup fra 1957 til 2020 for de fire gamle partier. De fire gamle partier omfatter som bekendt Socialdemokraterne, Venstre, Det Konservative Folkeparti og Radikale Venstre. Den […]
Data visualization: a reading list
Here is a collection of books and peer-reviewed articles on data visualization. There is a lot of good material on the philosophy, principles and practices of data visualization. I plan to update the list with additional material in the future (see the current version as a draft). Do reach out if you have any recommendations. […]