Exploratory analysis of South African coastal monitoring data from SAEON — temperature patterns, anomalies and seasonal trends
# SA Coastal Data Analysis
Exploratory analysis of South African coastal monitoring data
from SAEON (South African Environmental Observation Network).
## Objectives
- Identify temperature patterns and seasonal trends
- Detect anomalies in coastal monitoring data
- Visualise findings for environmental reporting
## Tools & Technologies
- Python, Pandas, NumPy
- Matplotlib, Seaborn
- Jupyter Notebooks
## Data Source
SAEON — saeon.ac.za
## Status
🚧 In Progress
## Author
Xola Mtintweni | xolamtintweni@gmail.com | xola1917.github.io