biblio.Rmd

---
title: "Biblio"
description: |
  Lecturas recomendadas y materiales de apoyo
site: distill::distill_website
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)
# Learn more about creating websites with Distill at:
# https://rstudio.github.io/distill/website.html
```


### PRINCIPAL

**Fundamentos**: [_An Intro to R_](https://colinfay.me/intro-to-r/statistical-models-in-r.html), Collin Fay.

**Programación**: [R para Ciencia de Datos](https://es.r4ds.hadley.nz/) (Traducción de [R for Data Science](https://r4ds.had.co.nz/)), Garrett Grolemund, Hadley Wickham.

**Visualización**: [ggplot2: Elegant Graphics for Data Analysis](https://ggplot2-book.org/), Hadley Wickham.


---


### CONSULTA 


#### GENERAL

* [AnalizaR Datos Políticos](https://arcruz0.github.io/libroadp/), Francisco Urdinez y Andrés Cruz Labrín (Editores).

* [Ciencia de Datos para Gente Sociable](https://bitsandbricks.github.io/ciencia_de_datos_gente_sociable/), Antonio Vazquez Brust.

* [Ciencia de datos para curiosos](https://bookdown.org/martinmontaneb/CienciaDeDatosParaCuriosos/), Martín Montané.


#### DATA VIZ

* [Data Visualizaction: A Practival Introduction](https://socviz.co/index.html#preface), Kieran Healey.

* [Fundamentals of Data Visualization](https://clauswilke.com/dataviz/), Claus Wilke.

#### SOFTWARE / PROGRAMACIÓN

* [What They Forgot to Teach You About R](https://rstats.wtf/), Jennifer Bryan & Jim Hester. 

* [Happy Git and GitHub for the useR](https://happygitwithr.com/), Jennifer Bryan, STAT 545 TAs & Jim Hester. 

* [A Handbook for Teaching and Learning with R and RStudio](https://rstudio4edu.github.io/rstudio4edu-book/), Desirée De Leon & Alison Hill. 

#### GEO 

* [Spatial Data Science (*with applications in R*)](https://www.r-spatial.org/book), Edzer Pebesma y Roger Bivand.

* [Herramientas de análisis espacial en R](https://martinmontane.github.io/AnalisisEspacialEnR/), Martín Montané. 



# COLECCION

* [Big Book of R: Your last-ever bookmark](https://www.bigbookofr.com/)