Welcome to my Datascience pages¶
I am taking this Data Science course because I want to learn how to work with data and apply my programming skills to real-world problems. I have some experience with programming, but I am new to Python for data analysis and want to understand how to collect, analyze, and visualize data. While I may start with example projects like climate data from As Pontes, in the future I hope to apply these skills both within A Industriosa and in my professional work, using data to make better decisions and create meaningful insights.
Weekly Assignments¶
- Day 1 - Introduction (18/11/2025)
- Day 2 - Tools (20/11/2025)
- Day 3 - Fitting (25/11/2025)
- Day 4 - Machine Learning (28/11/2025)
- Day 5 - Probability (02/12/2025)
- Day 6 - Density Estimation (04/12/2025)
- Day 7 - Transforms (09/12/2025)
- Day 8 - Presentation (11/12/2025)
Final presentation - 11/12/2025
In this project I analyse local climate data from the weather station of As Pontes, in Galicia, to see how the environment may have changed in recent years.
The main context is the transformation of the area: the progressive shutdown of the coal-fired power plant and the creation of the As Pontes lake in the former mine.
The dataset comes from AEMET and includes daily records from 2009 to 2024, with mean temperature, minimum and maximum temperature, and precipitation.
In addition, using more precise hourly records from 2019 to 2024 that include humidity, I look for trends and anomalies: how temperatures evolve, how extreme values behave, and whether rainfall patterns or the ranges between minimum and maximum temperatures are changing, as well as the possible formation of fog.
The goal is not to provide a definitive causal answer, but to explore whether the data points to a change in the local microclimate.
