Abdulrasheed Isah's Projects
R code to the 2022 edition of the 30 Day Chart Challenge
Repository containing code for the #30DayChartChallenge.
Repository for "Big Data for Public Policy" @ ETH Zurich, Spring 2023
Exploration of CHIRPS data using R and the stars package for handling NetCDF files
Data, Code and other material for CodeChella concert
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.
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.
Coding course to complete Data Analysis in R
Codes for case studies for the Bekes-Kezdi Data Analysis textbook
Course materials for a series of lectures that give an introduction to working with data and computation.
Event studies: robust and efficient estimation, testing, and plotting
Development Research in Practice: The DIME Analytics Data Handbook. By Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels, and Maria Jones
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.
RStudio add-in to make plots interactively with ggplot2
R package for fast and accurate raster zonal statistics
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.
GeoDa: An introduction to spatial data analysis
Resources for learning geospatial analysis in R
Material for the Pearson Live Training Session “Hands–On Data Visualization with ggplot2” for O’Reilly
Stata commands designed for Impact Evaluations in particular, but also data work in general
Material for 1 day Introductory Course on Using R (& RStudio) for Spatial Analysis
Minimalist LaTeX template for academic papers
Minimalist LaTeX template for academic presentations
An R package to compute marginal effects, adjusted predictions, contrasts, and marginal means for a wide variety of models
Mastering Shiny: a book
Explore data on NBER working papers
Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
Experiments with live results for behavioural economics classes