Journée cartostats - "Pourquoi et comment inscrire la production de cartes statistiques dans un processus de recherche reproductible"
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Updated
Jun 19, 2017 - HTML
Journée cartostats - "Pourquoi et comment inscrire la production de cartes statistiques dans un processus de recherche reproductible"
Repository that hosts the course materials for the 2017 edition of Programming Practices for Research in Economics at the University of Zurich
Introduction to Data Wrangling, Analysis, & Communication
Introduction to Statistical Learning
This repository contains very messy data on the Billboard Top 100 from 2000. I am using this data set to improve at data cleaning / wrangling. The aim was to create a Cleveland Dot Plot which shows the progression of number 1 songs over time from that year.
Quick Guide for Modelling Count Data in A Multilevel Framework
Paez, A (2022) Reproducibility of Research During COVID-19: Examining the Case of Population Density and the Basic Reproductive Rate from the Perspective of Spatial Analysis. Geographical Analysis. 54 (4) 860-880.
📊 Ronan's #TidyTuesday blog. Reproducible examples of data wrangling, visualisation, and analysis in R. Written using distill for R Markdown.
A companion package for the book Discrete Choice Analysis with R doi:10.1007/978-3-031-20719-8
Curso de "R para el Análisis de Datos", iniciado en Abril del 2023.
Teaching material for Summer Institute in Statistics for Big Data Module 1.
UW Summer Institute in Statistics: Data Wrangling in R
Notes and resources for graduate course GEOG 712 Reproducible Research Workflow with GitHub and R offered by the School of Earth, Environment and Society at McMaster University
Public Health Surveillance
Sample Size for Medical Research with R: A Quick Guide Cookbook
Supplementary material for "Reproducible Cartography"
My site, built with Hugo and Blogdown, and hosted on Github pages. Built and deployed with GitHub Actions from https://github.com/oliviergimenez/my_website repo.
General-purpose repository for illustrative examples on coding and data analysis
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