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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