https://github.com/blinksta1ker/analysis-of-imports-2022-23

https://github.com/blinksta1ker/analysis-of-imports-2022-23

jupyter-notebook matplotlib pandas python

Last synced: 17 days ago
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• Host: GitHub
• URL: https://github.com/blinksta1ker/analysis-of-imports-2022-23
• Owner: BLinKSta1Ker
• Created: 2024-10-24T12:23:56.000Z (25 days ago)
• Default Branch: main
• Last Pushed: 2024-10-24T12:34:46.000Z (25 days ago)
• Last Synced: 2024-10-25T12:55:31.456Z (24 days ago)
• Topics: jupyter-notebook, matplotlib, pandas, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.44 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Principal Commodity-wise Import Analysis (2022-23)

This project provides a comprehensive analysis of principal commodity imports for the year 2022-23. The dataset includes details about commodities imported, quantities, values in USD, and countries of origin. Through various visualizations and statistical analysis, this project helps to uncover trends, insights, and patterns in the global import data.

## Table of Contents

- [Project Overview](#project-overview)

- [Dataset](#dataset)

- [Visualizations](#visualizations)

## Project Overview

The goal of this project is to analyze import data based on:

- Import quantities and values across commodities.

- Contributions of different countries to the overall imports.

- Insights into commodity import trends, major contributing countries, and correlations between quantity and value.

## Dataset

The dataset used in this project has benn downloaded from Open Government Data (OGD) Platform India. It contains:

- **PRINCIPLE COMMODITY**: The name of the imported commodity.

- **COUNTRY**: The country of origin.

- **UNIT**: The unit of measure (e.g., TON).

- **QUANTITY**: The quantity of imports.

- **Value (US$ million)**: The monetary value of the imports in millions of USD.

You can find the dataset in the file `Principal_Commodity_wise_import_for_the_year_202223.csv`.

## Visualizations

The following visualizations are provided:

- **Country-wise Contribution to Total Imports**: Bar chart.

- **Top 10 Commodities by Quantity Imported**: Bar chart.ue.

- **Treemap of Top Commodities by Value**: Treemap to show the relative contribution of each commodity.