— In the News —
For anyone interested in understanding the nuances of the upcoming U.S. election, this detailed walk-through of FiveThirtyEight's forecast model is a must-read. Includes a summary of prior forecasts, 2020 considerations, polls, uncertainty and variables.
There's a lot to be said for charts that are transparent and easy to understand. But have you ever been pulled in and delighted by a puzzling visualization that you just had to unravel? Great essay!
— Tools and Techniques —
If the prevalence of COVID is 0.3% in your neighborhood, how risky is it to go to the grocery store today? The answer depends on a variety of factors and for most people, it's a wild guess. The microCOVID Project aims to change that. Their calculator helps build your intuition with a numerical risk estimate for specific, everyday activities.
Great set of lectures, slides and Jupyter notebook tutorials covering the fundamentals of data wrangling and visualization. Includes things like visual perception, interactivity, dimensionality, temporal analysis, text processing, evaluation and more.
Nice tutorial that shows to do tidyverse-style EDA in Python.
Awesome 15 minute video that uses animation to show how neural networks work. This is the first part of a series that's been getting a lot of praise around the web this week.
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— Resources —
This curated collection contains links to more than 100 data science books around the web. Covers a wide variety of topics in things like R programming, career development, data wrangling, machine learning, text analysis, statistics, R Markdown, Shiny, etc. Most are free.