simonress Goto Github PK

4.3.3_libs

academic-website

My personal website using Hugo, GitHub, and Netlify.

awesome-causal-inference-1

A curated list of causal inference libraries, resources, and applications.

generative_ai_python

helpers

Functions that solve a wide variety of problems and useful information

mermaid

Generation of diagram and flowchart from text in a similar manner as markdown

ml

Explanations, codes (R & Python) and exemplary use cases (e.g. Kaggle) of ML-algorithms

osmscraper

Open Street Map Scraper Data for capturing the environment (shops, squares, trash cans, etc.) around a location

pama

Python style package management tool for R. Use requirement.txt files to specify versions of packages to install (in your project folders lib) and load specific package versions in your scripts based on specified #lists in the requirement.txt

pama-testing

Introduction to and testing of the <pama> package

parliamentary-data-management-app

This app offers a comprehensive data management tool for the parliamentary legislative process and includes automatic and manual data collection, as well as revision, structuring, and presentation of the data

python-r-comparison

Presentation and comparison of solutions in R & Python for general specific problems

rdrop2

Dropbox Interface from R

research-and-statistics

shiny-electron

(2023.03) - Build a Standalone App with R-Shiny and Electron

shinytron

Automatic creation of standalone desktop applications with R-Shiny and Electron. Dead easy!

simonress

sress.github.io

Personal website of Simon Ress

w-data-visualization-in-r

w-data-wrangling-of-web-data-in-r

In this workshop, advanced skills in the areas of extraction, transformation, structuring & cleaning up of web-based data are imparted

w-data-wrangling-with-r

This workshop introduces advanced data wrangling techniques, particularly using the dplyr package.

w-introduction-to-python

w-introduction-to-r

This workshop introduces R, a free programming language for statistical computing, graphics, and data mining. The areas of data input and management as well as the basic statistics and graphics are explained.

w-modern-causal-analysis

Introduction to the Rubin‘s causal model (RCM) and the concept of Directed Acyclic Graphs (DAG) based on it. These two tools form the basis of modern causal analysis in the empirical social sciences and are increasingly gaining acceptance in applied research.

w-reporting-in-r

This workshop introduces techniques for the automated creation of reports. Both the basics of R-Markdown and R-Sweave are shown

w-reproducible-reporting

This workshop introduces techniques for the automated creation of reproducible, dynamic and production-ready documents (reports, slides, etc) with Python and R. The frameworks Quarto, R-Markdown and R-Sweave are presented:

w-speed-up-r

w-web-apps-with-r-shiny

This workshop introduces the basics of reactive programming with R Shiny. Basic concepts such as the client-server architecture, efficient programming of the server and the user interface are explained. The creation of (web) apps is practiced in exercises.

w-web-scraping-in-r

This workshop introduces in webscraping using R. Basic concepts like HTML, CSS, XML- & CSS paths will be explained. Practical exercise in scraping static and dynamic websites (using browser automation by Selenium).

w-working-with-missings