1710. Data Vis Dispatch: February 7, February 14, February 21, February 28
1711. To nye danske bøger om R
1712. The oldest R version one can still run today
1713. Attributes in R Functions: An Overview
1714. Diverging Lollipop Chart: A Visual Tool for Comparing Data with {healthyR}
1715. Tidier.jl: 100% Julia implementation of the R tidyverse mini-language
1716. From Zero to Research Scientist full resources guide
1717. Flexible Imputation of Missing Data
1718. GPT in 60 Lines of NumPy
1719. Estimating Treatment Effects After Weighting with Multiply Imputed Data
1720. Google Python Style Guide
1721. Let’s roll dice!
1722. Prediction Intervals for Linear Mixed Effects Models
1723. Should I learn Stan?
1724. List of tools and techniques for working with relational databases
1725. Building reproducible analytical pipelines with R
1726. Sensitivity Analyses for Unmeasured Confounders
1727. A Critical Field Guide for Working with Machine Learning Datasets
1728. Awesome-LLM: everything you need to know about Large Language Model
1729. How to do a Kruskal-Wallis Test in R
1730. Introduction to ICA: Independent Component Analysis
1731. An index of algorithms for learning causality with data
1732. 1 dataset 100 visualizations
1733. Introduction to Data-Centric AI
1734. The Unreasonable Effectiveness of Conditional Probabilities
1735. Tomorrow’s weather
1736. How to create a simple heatmap in R ggplot2
1737. Statistical Rethinking 2023
1738. Practical Guide to Honest Causal Forests for Identifying Heterogeneous Treatment Effects
1739. Creating interactive visualizations with {ggiraph} (with or without Shiny)
1740. forester: what makes the package special?
1741. Why should I use R: The Excel R Data Wrangling comparison: Part 1
1742. Save space in faceted plots
1743. P-value bowling
1744. Decision Tree Modelling for Cost Effectiveness Analysis in R
1745. Poisson Regressions: A Little Fishy
1746. Visualizing Climate Change: A Step-by-Step Guide to Reproduce Climate Stripes with Python
1747. Meaningless Means #3: The Truth About Lies
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