https://github.com/rameswar-balaji/state_wise_cpi_analysis
Consumer Price Index (CPI) Analysis System 📌 Overview This project analyzes and visualizes Consumer Price Index (CPI) data for Indian states and Union Territories, providing insights into inflation trends and economic changes over time.
https://github.com/rameswar-balaji/state_wise_cpi_analysis
css dbms html5 javascript mysql php sql
Last synced: about 2 months ago
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Consumer Price Index (CPI) Analysis System 📌 Overview This project analyzes and visualizes Consumer Price Index (CPI) data for Indian states and Union Territories, providing insights into inflation trends and economic changes over time.
- Host: GitHub
- URL: https://github.com/rameswar-balaji/state_wise_cpi_analysis
- Owner: RAMESWAR-BALAJI
- Created: 2025-02-25T15:01:36.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-25T16:00:52.000Z (over 1 year ago)
- Last Synced: 2025-02-25T16:27:33.969Z (over 1 year ago)
- Topics: css, dbms, html5, javascript, mysql, php, sql
- Homepage:
- Size: 8.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Consumer Price Index (CPI) Analysis System
📌 Overview
This project analyzes and visualizes Consumer Price Index (CPI) data for Indian states and Union Territories, providing insights into inflation trends and economic changes over time. It helps economists, investors, and policymakers understand the cost of living and purchasing power variations across different regions.
🏗 Features
✅ User Authentication – Public users can view CPI data, while admins can modify records.
✅ State-wise & Year-wise Reports – View CPI trends by state, year, and category (food, energy, healthcare, etc.).
✅ Graphical Representation – Data visualization using line charts, bar graphs, and pie charts.
✅ Inflation Calculation – Computes inflation rates based on CPI changes over time.
✅ Database Management – Stores and organizes large datasets efficiently using MySQL & GraphQL.
⚙️ Tech Stack
Frontend: HTML, CSS, JavaScript
Backend: PHP/Python (if applicable)
Database: MySQL, GraphQL
📊 Database Schema
The system follows 3NF normalization and consists of key tables:
Household: Stores household expenditure data.
Inflation: Yearly and monthly CPI records.
State/UTs: CPI data categorized by state/region.
Education, Healthcare, Food, Energy: Individual contributors to CPI.