xinzhuohkust/political-scientist

Collection of R and Python resources for political scientist

As a political scientist, you may find the following collection of R and Python resources to be useful for your research and data analysis.

Data Wrangling

• larger than memory data

Geographic data computation

• book: Geocomputation with R
• SpatialEcon
• weather data
• weather

Blog

• https://rweekly.org/#RintheRealWorld

Quarto

• quarto tips

publish

how to publish .qmd file to bookdown:

rsconnect::addConnectServer("https://bookdown.org", "bookdown.org")
rsconnect::connectApiUser(
  account = "", server = "bookdown.org",
  apiKey = Sys.getenv("CONNECT_API_KEY")
)
quarto::quarto_publish_site(
  name = "data-analysis-in-action", render = "none",
  server = "bookdown.org",
  account = "",
  title = "Data Analysis in Action"
)

shiny

shiny and quarto shiynlive

Tidy series

• tidyPython
• tidyJulia

Marginal Effects

• marginal effects
• marginal effects of mixed effect model

NLP

• wordembedding introduction
• Supervised Machine Learning for Text Analysis in R
• wordembedding explaination
• js

Causal Inference

• causal inference with R
• causal panel data

Blogger

• Andrew
• Kurz
• Isabella
• michael decrescenzo
• mockup
• Milz

Github action with R

• github action with R
• https://rfortherestofus.com/2023/05/github-actions/

Visualization

• hex map

table

• reactable
• table gallery

STAS

• Visualization

Spatial Analysis

• [https://nkaza.github.io/post/
• [https://lehner.xyz/]

Causal Inference Book

• https://bookdown.org/mike/data_analysis/regression-discontinuity.html
• https://tellingstorieswithdata.com/

IRT

• IRT in R
• book

mailR

• blastula

MAP

• tow variable map
• dynamic map

SQL

• sql in R