An end-to-end data analytics project exploring public investment patterns, sector distribution, and development perspectives across Egyptian governorates using Python, SQL, Power BI, and DAX.
# Egypt Public Investment & Development Needs Analysis
## Turning Public Investment Data into Development Insights
Python • SQL • Power BI • DAX • Data Analytics
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## Project Overview
This project represents my first end-to-end Data Analytics project,
applying Python, SQL, Power BI, and DAX to explore real-world
development data.
As a **Public Policy and Information Systems (PPIS) student** building
my path in **AI & Data Science**, I wanted to connect technical analysis
with real-world decision-making.
The project explores public investment patterns across Egyptian
governorates and sectors, focusing on investment distribution,
geographic patterns, and development perspectives.
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## Main Question
**How is public investment distributed across Egyptian governorates and
sectors, and how can analytical perspectives help understand development
patterns?**
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## Objectives
- Analyze public investment distribution.
- Explore sector investment patterns.
- Understand geographic concentration.
- Compare investment with population perspectives.
- Evaluate sector coverage and investment intensity.
- Build an interactive Power BI dashboard.
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## Tools & Technologies
Tool Usage
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Python Data preparation, exploration, and analysis
SQL Analytical queries and KPI extraction
Power BI Dashboard development and visualization
DAX Analytical measures and KPIs
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## Workflow
Data Understanding
↓
Data Preparation & Exploration (Python)
↓
SQL Analysis
↓
Power BI Dashboard Development
↓
Insights & Interpretation
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