Jekyll-based static site for The Programming Historian

The repository and website hosting the peer review process for new Programming Historian lessons

Learn R in simple and easy steps starting from basic to advanced concepts with examples. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.

🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.

This repo contains the code for my postgraduate thesis dealing with Short-term Load Forecasting, predicting the electric load demand per hour in Greece, developed in R, RStudio, R-markdown and R-Shiny using daily load datasets provided by the Greek Independent Power Transmission Operator (I.P.T.O.). A presentation of the thesis' results can be f…

🐈 A project for analyzing the distribution and variability of Pokémon Attack stats using R, with visualizations, summary statistics, and sampling-based normality checks. Includes a script to generate histograms, compute standard deviation ranges, and compare population vs. sample behavior.

🤑 A project for analyzing and visualizing stock performance using R, fetching data from Yahoo Finance for major tickers and generating 43 plots covering trends, volatility, returns, and normalized comparisons. Includes moving averages, rolling metrics, and summary statistics, all automated in a single script.

🐱 A project exploring relationships between Pokémon names and physical traits using R, with string-based pattern detection, group comparisons based on consonant “heaviness,” and regression models predicting weight from height and Attack. Includes hypothesis-driven name analyses and statistical summaries for both English and Japanese name sets.

🥇 A project for analyzing Olympic medal data with R, combining TidyTuesday records and World Bank indicators to assess raw medal counts, efficiency metrics, and economic context. It generates diverse visualizations, performs regression and clustering, and reveals patterns in national Olympic performance.

🇲🇼 A project analyzing how onset consonant type affects tone realization in Malawian CiTonga verb stems, using pitch (F₀) data from phonetic fieldwork. Includes two experiments comparing mean F₀ across tonal and consonantal contexts, with statistically significant findings and clear visualizations.

Option pricing and Delta hedging performance comparison between Black and Scholes vs Artificial Neural Network

🔍 A project for analyzing the Gapminder dataset (1952–2007) using R, producing 12 visualizations that explore trends in life expectancy, GDP per capita, and population across continents. Includes a regression analysis, RMarkdown reporting, and automation via scripts, Makefile, and Docker.

🇧🇷 A project for analyzing acceptability judgments of Brazilian Portuguese nonce words using R, focusing on syllable length and initial segment type. Includes mosaic plots and chi-square tests to assess structural effects on responses, with results suggesting no significant influence from either factor.

🍷 A project for analyzing red and white wine quality using R, combining exploratory visualizations, PCA, and a regression model to uncover chemical correlates of wine ratings. The script automates data fetching, cleaning, plotting, and modeling, offering a reproducible pipeline for statistical exploration.

R Package to create and manage ChatGPT Images

StrangeR things: Visualizing Soccer Data with R… on a Soccer Pitch? How to analyze, visualize and report soccer data and strategies on a soccer pitch with the "ggsoccer" package

What makes R Shiny so shiny? A step-by-step introduction to interactive dashboards in R

Data Science | Machine Learning | Data Analysis