This project is an exploratory data analysis (EDA) of COVID-19 in Mexico, developed in 2021. It was my first approach to data analysis using Python and Jupyter Notebook, and it holds special value for me, even though the data is not currently updated.
The analysis focuses on two main datasets:
-
Covid_19_Mexico_Clean_Complete.csv
Contains detailed information on COVID-19 deaths across the states of Mexico. State-level visualizations were generated to show the progression of fatalities. -
mexico_covid19.csv
Includes records of both positive and negative COVID-19 cases. It also describes whether each person had pre-existing conditions (e.g., diabetes, hypertension, obesity), helping to identify risk factors for severe cases.
Although this was a small project, it represented a fundamental step in my journey as an engineering student and data science enthusiast.
- Data loading and cleaning
- State-by-state analysis of COVID-19 deaths
- Visualization of trends and regional comparisons
- Exploration of comorbidities and associated risk factors
- Python 3
- Jupyter Notebook
- Pandas
- Matplotlib
- Seaborn
- NumPy