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Data Science · Mini Project
Country Area & Population Analysis
Density, growth and rank across every country in the world
1-2 weeks build
Overview
Uses public World Bank population and land-area figures to compare countries on size, population, density and growth. The notebook ranks the largest and densest nations, tracks decades of growth for India and its neighbours, and plots area against population on log scales. An animated world map shows how population has shifted over time.
What makes it stand up
- 01Merged area and population data keyed on ISO codes
- 02Density and growth-rate calculations per country
- 03Log-scale scatter of area against population
- 04India and neighbours compared over several decades
- 05Animated choropleth of world population by year
Module breakdown
- 01
Data joining
Merges indicators and resolves country-name mismatches.
- 02
Metrics
Derives density, growth rate and share of world total.
- 03
Rankings
Top and bottom countries on each measure.
- 04
Regional study
South Asia trends compared with world averages.
- 05
Maps
Static and animated Plotly choropleths.
After this, you will be able to
- Explain why a log scale suits area and population data
- Defend how you handled countries missing from one source
- Present the animated map and interpret its changes
Technology stack
- Python
- Pandas
- NumPy
- Plotly
- Jupyter
- Level
- Mini Project
- Domain
- Data Science
- Build time
- 1-2 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support