README.md

python_DataAnalysis_Project

This is the Python Project

Building Performance Analysis (Python)

Short: Exploratory Data Analysis and basic predictive modeling on a building assets dataset using Python (Pandas, NumPy, Matplotlib, Seaborn, scikit-learn).

Project Overview

• Objective: Clean dataset, explore key features, detect outliers, visualize relationships, and train a simple linear regression to understand drivers of the target variable.
• Dataset: Public/private Excel file containing building-related features (location, square footage, construction date, lat/long, etc.).

Key Steps

1. Data loading and inspection (df.info(), df.describe())
2. Missing value handling and justification for chosen strategy
3. Outlier detection using Z-score and rationale
4. Visualizations (heatmap, boxplots, pairplots, scatter plots)
5. Simple Linear Regression to study relationships between selected features and the target
6. Summary, key findings and recommendations

How to run

pip install -r requirements.txt
python analysis_notebook.ipynb  # or open in Jupyter / Colab