This repository contains the materials developed for WA2 (Written Assignment 2) of the TCAD course.
The work focuses on data analysis, outlier detection, and scientific visualization, with an emphasis on reproducibility and clear communication of results.
The goal of this assignment is to explore a dataset using statistical analysis and visualization techniques, identify anomalous behavior (outliers), and present insights in a structured and interpretable manner.
The project follows a standard data analysis and scientific visualization pipeline:
- Data loading and preprocessing
- Exploratory data analysis
- Outlier detection
- Visualization of results
- Report generation
All steps are documented and reproducible.
Final grade: 17/20
WA2-TCAD/
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├── data/ # Raw and/or processed datasets
├── images/ # Figures and plots generated for the report
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├── WA2.Rmd # Main R Markdown source file
├── WA2.html # Rendered HTML report
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├── .RData # Saved R workspace (optional, for reproducibility)
├── .Rhistory # R session history
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├── backup.txt # Backup notes / auxiliary content
├── hello.txt # Auxiliary test file
├── .gitattributes # Git configuration
- Source file:
WA2.Rmd - Rendered output:
WA2.html
The HTML report includes:
- Methodology description
- Exploratory data analysis
- Outlier detection and discussion
- Scientific visualizations
- Interpretation of results
The report was generated using R Markdown, ensuring tight integration between code, results, and narrative.
- R
- R Markdown
- tidyverse
- ggplot2
- Statistical methods for outlier detection
- Diogo Silva
- Tomás Pereira
This repository is intended for academic use.
All content was developed in the context of a university assignment.