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30_day_chart_challenge_2022

R code to the 2022 edition of the 30 Day Chart Challenge

30daychartchallenge

Repository containing code for the #30DayChartChallenge.

big-data-for-public-policy-2023

Repository for "Big Data for Public Policy" @ ETH Zurich, Spring 2023

chirps-stars

Exploration of CHIRPS data using R and the stars package for handling NetCDF files

codechella

Data, Code and other material for CodeChella concert

compare-did-estimators

computational-social-science-training-program

This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and causal inference. This course has a strong applied focus with emphasis placed on doing computational social science.

correlogram_stata

Using the built in Stata dataset (sysuse auto), I generate a weighted visualization of correlation (correlogram) that makes use of color friendly tones with a diverging color palette from blue to brown.

da-coding-rstats

Coding course to complete Data Analysis in R

da_case_studies

Codes for case studies for the Bekes-Kezdi Data Analysis textbook

data-class

Course materials for a series of lectures that give an introduction to working with data and computation.

did_imputation

Event studies: robust and efficient estimation, testing, and plotting

dime-data-handbook

Development Research in Practice: The DIME Analytics Data Handbook. By Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels, and Maria Jones

esoc-predoc-training

This 10-week training program is designed to prepare incoming pre-doctoral research fellows at the Princeton Empirical Studies of Conflict (ESOC) lab with the skills needed to support faculty research projects within ESOC, SPIA, and associated departments.

esquisse

RStudio add-in to make plots interactively with ggplot2

exactextractr

R package for fast and accurate raster zonal statistics

free_r_tips

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.

geoda

GeoDa: An introduction to spatial data analysis

geospatial-learning

Resources for learning geospatial analysis in R

hands-on-ggplot2-training

Material for the Pearson Live Training Session “Hands–On Data Visualization with ggplot2” for O’Reilly

ietoolkit

Stata commands designed for Impact Evaluations in particular, but also data work in general

intro-r-spatial-analysis

Material for 1 day Introductory Course on Using R (& RStudio) for Spatial Analysis

latex-paper

Minimalist LaTeX template for academic papers

latex-presentation

Minimalist LaTeX template for academic presentations

marginaleffects

An R package to compute marginal effects, adjusted predictions, contrasts, and marginal means for a wide variety of models

mastering-shiny

Mastering Shiny: a book

metaplots-metadata

Explore data on NBER working papers

metbrewer

Color palette package in R inspired by works at the Metropolitan Museum of Art in New York

mixtape_learnr-ff

otree_classroom_experiments_public

Experiments with live results for behavioural economics classes