– Introduktion til R – Improving Your Statistical Inferences – Dataviz Inspiration – A guide to modeling outcomes that have lots of zeros with Bayesian hurdle lognormal and hurdle Gaussian regression models – The Effects of Regularization and Data Augmentation are Class Dependent – latentcor: An R Package for estimating latent correlations from mixed data […]
Tag: Potpourri
Potpourri: Statistics #83
– A detailed guide to colors in data vis style guides – parlscot: An R package to download Scottish Parliamentary data – France 2022: How to predict an election – peacesciencer: Tools and Data for Quantitative Peace Science – Left-Right Placements of GB Westminster Constituencies in 2021 – Effects of Causes and Causes of Effects […]
Potpourri: Statistics #82
– Seven steps toward more transparency in statistical practice – Fooled by beautiful data: Visualization aesthetics bias trust in science, news, and social media – 10 ways to use fewer colors in your data visualizations – Why scatter plots suggest causality, and what we can do about it – LOCO: The 88-million-word language of conspiracy […]
Potpourri: Statistics #81
– The list of 2021 visualization lists – ML and NLP Research Highlights of 2021 – Regression and Other Stories – Causal Inference for The Brave and True – Quantifying causality in data science with quasi-experiments – An Introduction to Linear Mixed-Effects Modeling in R – The Science of Visual Data Communication: What Works – […]
Potpourri: Statistics #80
– Data Vis Dispatch: June 22, June 29, July 6, July 13, July 20, July 27, August 3, August 10, August 17, August 24, August 31, September 7, September 14, September 21, September 28, October 5, October 12, October 19, October 26, November 2, November 9, November 16, November 23, November 30, December 7, December […]
Potpourri: Statistics #79
– Bayes Rules! An Introduction to Bayesian Modeling with R – A friendly introduction to machine learning compilers and optimizers – A History of Polar Area / Coxcomb / Rose charts & how to make them in R’s ggplot2 – A Dataset of Cryptic Crossword Clues – Survival Analysis: Part I: Basic concepts and first […]
Potpourri: Statistics #78
– Investigation of Data Irregularities in Doing Business 2018 and Doing Business 2020 – Dyadic Clustering in International Relations – Forecasting: Principles and Practice – Data Disasters – A Quick How-to on Labelling Bar Graphs in ggplot2 – Data visualisation using R, for researchers who don’t use R – Easy access to high-resolution daily climate […]
Potpourri: Statistics #77 (Excel)
– XPlus – 333 Excel Shortcuts for Windows and Mac – Excel VBA Introduction – 101 Excel Functions you should know – How to Create a Dot Plot in Excel – How to Create a Fan Chart in Excel – How to Create a Non-Ribbon Sankey Diagram in Excel – How to Create a Horizontal […]
Potpourri: Statistics #76
– Introduction to Deep Learning — 170 Video Lectures from Adaptive Linear Neurons to Zero-shot Classification with Transformers – The Identification Zoo: Meanings of Identification in Econometrics – Why you sometimes need to break the rules in data viz – A Concrete Introduction to Probability (using Python) – R packages that make ggplot2 more beautiful […]
Potpourri: Statistics #75
– Introducing pewmethods: An R package for working with survey data – Exploring survey data with the pewmethods R package – Weighting survey data with the pewmethods R package – Analyzing international survey data with the pewmethods R package – autumn: Fast, Modern, and Tidy Raking – Data science for economists – Papers about Causal […]