Análisis exploratorio y ANOVA de una vía

Analysis of runners’ performance data from the 46. Warsaw Marathon (2024) shows application of unsupervised learning techniques, including PCA for dimension reduction and clustering methods such as K-Means, Hierarchical, PAM, CLARA, and DBSCAN.

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This analysis successfully applied multiple text mining techniques to examine mental health discussions on Reddit across different time periods. Key achievements: Exploratory Data Analysis - identified the most frequent terms and themes in ADHD subreddit Clustering - grouped similar terms and posts to reveal underlying patterns in mental health discourse Topic Modeling - discovered latent topics using LDA, revealing distinct discussion themes Sentiment Analysis - tracked emotional tone across periods using multiple lexicons (Bing, AFINN, NRC) Text Networks - visualized word co-occurrence patterns through bigram networks