Potpourri: Statistics #96

1831. Data Vis Dispatch: May 2, May 9, May 23, May 301832. Visually Accessible Data Visualization1833. How to create a clickable world cloud with wordcloud2 and Shiny1834. Making Middle Earth maps with R1835. Identifying partisan ‘leaners’ in cross-national surveys1836. The credibility of corruption statistics: A critical review of ten global estimates1837. Directed Acyclic Graphs: A simple introduction with simulations in R1838. Introducing {ggflowchart}1839. Creating a cracked egg plot using {ggplot2} in R1840. Deploy a model on AWS SageMaker with vetiver1841. Model Misspecification and Linear Sandwiches1842. Group-equivariant neural networks with escnn1843. A guide to Bayesian proportion tests with R and {brms}1844. Optical Illusions and Data Viz1845. Creative axes: Let your Y-axis follow the data1846. Coloring in R's Blind Spot1847. Awesome Spatial Data1848. supercells: universal superpixels algorithm for applications to geospatial data1849. Spatial regionalization using universal superpixels algorithm1850. Nine tips for ecologists using machine learning1851. Assessing the effects of generation using age-period-cohort analysis1852. r2mlm: An R package calculating R-squared measures for multilevel models1853. Correcting selection effects of noisy polygenic scores: an idiot’s guide1854. Demystifying Item Response Theory: Playing God through Simulations, IRT as Generalized Linear Models, Improving Estimation through Partial Pooling, Rating Scale Models and Ordered Logit Distributions1855. purrr::walk() this way1856. Applied Data Skills: Processing & Presenting Data1857. How to Use GitHub Actions with R to Run Code Automatically1858. Using ChatGPT for Creating Multiple- and Single-Choice R/exams Questions1859. Showing women proportion of Parliamentarians on a map1860. Curried functions in R1861. A First Course in Causal Inference

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