Potpourri: Statistics #75

905. Introducing pewmethods: An R package for working with survey data906. Exploring survey data with the pewmethods R package907. Weighting survey data with the pewmethods R package908. Analyzing international survey data with the pewmethods R package909. autumn: Fast, Modern, and Tidy Raking910. Data science for economists911. Papers about Causal Inference and Language912. Yale Applied Empirical Methods PHD Course913. Spreadsheet Munging Strategies914. Visual Vocabulary: Designing with data915. What can we learn from a country's diplomatic gifts?916. Map, Walk, Pivot917. The Epidemiologist R Handbook918. Machine learning with {tidymodels}919. Choose your own tidymodels adventure920. Applied Spatial Statistics with R921. ggplot: the placing and order of aesthetics matters922. Introduction to Functional Data Analysis with R923. Visualizing Distributions with Raincloud Plots with ggplot2924. A Chat with Andrew on MLOps: From Model-centric to Data-centric AI925. ISLR tidymodels Labs926. ~~Plotting maps with ggplot2~~927. R instructions for our research projects928. A gentle introduction to deep learning in R using Keras929. Everything You Always Wanted to Know About ANOVA930. Replication Materials for "The Flying Bomb and the Actuary" (Shaw and Shaw, 2019)931. Colors and emotions in data visualization932. Rookie R mistakes933. 10 Tips to Customize Text Color, Font, Size in ggplot2 with element_text()934. Writing unit tests in R935. The Good, the Bad and the Ugly: how to visualize Machine Learning data936. A curated list of APIs, open data and ML/AI projects on climate change937. R for SEO938. Using Geospatial Data in R939. Good Data Scientist, Bad Data Scientist940. The Evolution of a ggplot (Ep. 1)941. Do Wide and Deep Networks Learn the Same Things?

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