2nd lab report

This project aims to predict whether a breast tumor is malignant (cancerous) or benign (non-cancerous) using clinical data. We analyze key tumor characteristics (such as size, shape, and texture) to build machine learning models that assist in early and accurate diagnosis.

Interactive Map of European Countries and Capitals using R This project demonstrates how to create a clean, detailed, and interactive map of Europe using R. The map highlights country boundaries and their respective capital cities using spatial data and web mapping libraries. Built using: {leaflet} – for interactive web mapping {sf} – for handling spatial vector data {rnaturalearth} & {rnaturalearthdata} – for retrieving geospatial datasets {dplyr} – for data wrangling Key Features: Country polygons styled with subtle colors and interactive popups Capital cities marked with red circular markers and tooltips Hover highlights for better interactivity Legend for clarity Fully compatible with RStudio Viewer and exportable as an HTML widget Why this matters: This project is a great starting point for anyone interested in GIS, data visualization, or web mapping using open-source tools in R. It’s ideal for students, researchers, and professionals in geography, urban planning, or environmental science.

This report presents an analysis of disturbances to sea turtle nests recorded. The data was collected through patrols and monitoring activities and includes identified disturbance categories by predator type (humans, animals, or unknown). The goal is to identify patterns and quantify threats to inform conservation strategies.