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.

Phân tích dữ liệu Pima2 sử dụng phương pháp hồi qui Ridge và Lasso kết hợp Multiple Imputation (xử lý dữ liệu thiếu)

Question 1: Data Cleaning and Manipulation with air quality Question 2: Data Visualization with Tooth Growth Question 3: Function Writing with iris Question 4: Loops and Conditional Statements with mtcars

Task for my student year 1

This webpage demonstrates an interactive map created using R Markdown and the Leaflet library. The map is rendered directly in the browser and highlights a sample geographic location. This page was generated as part of an assignment on reproducible research and interactive data visualization.

Question 4: Loops and Conditional Statements with mtcars

Andrew Miller, Collin Wallace

Question 3: Function Writing with iris Petal Summary