This presentation demonstrates how interactive graphics can be created in R using the Plotly package. It includes a dynamically generated Plotly chart and the creation date, and it is published as part of a hands-on exercise in building R Markdown presentations. The page showcases how R Markdown, HTML widgets, and Plotly work together to produce responsive, browser-friendly visualizations.

This is the reproducible pitch presentation for my BMI Calculator Shiny App created for the Course Project of Developing Data Products. It explains the motivation, features, server logic, and usage of the application.

This project conducts a computational text analysis of 4,000 tweets concerning the 2017 Catalonian independence movement. Using sentiment analysis and text mining techniques, we examine the emotional polarity, thematic framing, and dissemination patterns within this polarized online discourse. The primary objectives are to quantify the sentiment distribution, identify dominant narratives through hashtag analysis, and investigate whether message sentiment influenced its virality via retweets. This analysis aims to reveal how conflict-driven political debates manifest linguistically on social media, bridging lexical patterns with observable social behavior in digital public spheres.