fhoces Goto Github PK
Name: Fernando Hoces de la Guardia
Type: User
Company: UC Berkeley
Bio: Working to increase transparency of research and policy analysis
Twitter: fhoces
Location: Berkeley, CA
Name: Fernando Hoces de la Guardia
Type: User
Company: UC Berkeley
Bio: Working to increase transparency of research and policy analysis
Twitter: fhoces
Location: Berkeley, CA
quick description
Webscraping and analyzing book reviews on GoodReads
Standard Operating Procedures for Don Green's Lab at Columbia
Using Git and GitHub with R, Rstudio, and R Markdown
Following Jenny Bryan's tutorial
Data from Kaggle dataset created by Sean Lahman (c) 2015. Code to create visualization of the evolution of Major League Baseball.
This is the website for "Hands-On Programming with R," a book that teaches how to program in R, with hands-on examples.
Workshop Materials for March 2018 BITSS Workshop at IDB
Materials for May 2017 BITSS Reproducibility Workshop at INSP, Cuernavaca, Mexico
ITAM Workshop on Causal Inference
Class materials for "Economics, Causality, and Analytics"
talks on the knitr package
Visualization of the Ordinary Least Squares estimation of slope for a simple linear model
Lecture material for Big Data in Economics (EC 410/510)
Materials for the MOSAIC "Teaching Statistics with R and RStudio"
Source code for the Library of Statistical Techniques
Macroeconomics at Claremont Graduate University
Walks through the hands-on activity showing how to automate a data analytical pipeline with make
Mastering Shiny: a book
Integrated Assessment Modeling Framework
Looking at minimum wage data
Code for Causal Inference: The Mixtape by Scott Cunningham
An R data package containing datasets from the beloved econometrics textbook Mastering 'Metrics
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
Descriptive statistics for working papers on the NBER
initial tests that I did around 2014
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.