Mini Project
Data Science
Personal Finance Analytics
Statement parsing, auto-categorisation and spend forecasting
- Python
- Pandas
- Prophet
- Streamlit
- +2
₹2,299₹3,999
4.5/198 reviews
Data Science · Mini Project
Unemployment Analysis for India
State-wise unemployment trends and the effect of the COVID lockdown
1-2 weeks build
Overview
Uses the public Unemployment in India dataset on Kaggle, drawn from CMIE surveys, to study unemployment rate, labour participation and employment across states and between rural and urban areas. The analysis zooms in on the 2020 lockdown months, compares states before and after, and presents the findings as choropleth maps and sunburst charts.
What makes it stand up
- 01Rural versus urban unemployment comparison
- 02State-wise trends with a before and during lockdown split
- 03Labour participation rate alongside unemployment
- 04Choropleth map of India coloured by unemployment rate
- 05Sunburst chart by region, state and area
Module breakdown
- 01
Cleaning
Normalises column names, dates and state labels.
- 02
Exploration
Summary statistics and correlation heatmap.
- 03
Lockdown impact
Compares monthly rates before and during 2020.
- 04
Regional view
Region and state rankings with rural and urban splits.
- 05
Visualisation
Plotly maps, sunbursts and animated timelines.
After this, you will be able to
- Explain what the unemployment and participation rates measure
- Defend your before-and-after lockdown comparison
- Present the state map and explain its outliers
Technology stack
- Python
- Pandas
- Plotly
- Seaborn
- 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