1831. Data Vis Dispatch: May 2, May 9, May 23, May 30
1832. Visually Accessible Data Visualization
1833. How to create a clickable world cloud with wordcloud2 and Shiny
1834. Making Middle Earth maps with R
1835. Identifying partisan ‘leaners’ in cross-national surveys
1836. The credibility of corruption statistics: A critical review of ten global estimates
1837. Directed Acyclic Graphs: A simple introduction with simulations in R
1838. Introducing {ggflowchart}
1839. Creating a cracked egg plot using {ggplot2} in R
1840. Deploy a model on AWS SageMaker with vetiver
1841. Model Misspecification and Linear Sandwiches
1842. Group-equivariant neural networks with escnn
1843. A guide to Bayesian proportion tests with R and {brms}
1844. Optical Illusions and Data Viz
1845. Creative axes: Let your Y-axis follow the data
1846. Coloring in R’s Blind Spot
1847. Awesome Spatial Data
1848. supercells: universal superpixels algorithm for applications to geospatial data
1849. Spatial regionalization using universal superpixels algorithm
1850. Nine tips for ecologists using machine learning
1851. Assessing the effects of generation using age-period-cohort analysis
1852. r2mlm: An R package calculating R-squared measures for multilevel models
1853. Correcting selection effects of noisy polygenic scores: an idiot’s guide
1854. Demystifying Item Response Theory: Playing God through Simulations, IRT as Generalized Linear Models, Improving Estimation through Partial Pooling, Rating Scale Models and Ordered Logit Distributions
1855. purrr::walk() this way
1856. Applied Data Skills: Processing & Presenting Data
1857. How to Use GitHub Actions with R to Run Code Automatically
1858. Using ChatGPT for Creating Multiple- and Single-Choice R/exams Questions
1859. Showing women proportion of Parliamentarians on a map
1860. Curried functions in R
1861. A First Course in Causal Inference
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