Haramain Train Stations
Confidentiality Notice
All data shared in this case study is mimic / simulated data that replicates the statistical structure of the original dataset. We uphold the highest standards of client transparency and confidentiality — no real operational data is disclosed.
Project Overview
This project involved a comprehensive statistical analysis of climatic conditions across the Haramain high-speed railway stations in the Mecca region. The study aimed to provide actionable insights to support station operations, safety planning, and environmental compliance.
Key climatic variables — including temperature extremes, humidity levels, wind speed distributions, and UV exposure — were analyzed across multiple stations and time periods to identify patterns, seasonal trends, and anomalies.
Analytical Methods
- ▹Descriptive statistics (mean, median, SD, percentiles)
- ▹Seasonal trend decomposition
- ▹Correlation & regression analysis
- ▹Outlier detection & distribution fitting
- ▹Comparative analysis across stations
Tools Used
Download Mimic Dataset
A simulated dataset mirroring the structure and statistical properties of the original data is available for download. This allows researchers and students to explore the analysis methods used.
Download Dataset (CSV) — Coming Soon