This repository contains a comprehensive dataset focusing on rice exports from various exporters worldwide. The dataset includes crucial information such as importer/exporter names, addresses, quantities, values, and other relevant details. The goal of this project is to conduct an extensive data analysis to extract meaningful insights and address key questions related to rice export transactions.
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Importer/Exporter Information:
- The dataset provides details about both importers and exporters, including their names and addresses.
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Quantities and Values:
- Essential attributes such as quantities and values are included, allowing for a detailed analysis of the volume and financial aspects of rice exports.
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Additional Attributes:
- The dataset may contain other pertinent details that could contribute to a more nuanced analysis of the rice export transactions.
- Python: Facilitates versatile programming capabilities.
- Pandas: Refines and prepares data for accurate analysis.
- Matplotlib: Crafts static visualizations to uncover trends.
- Plotly: Creates dynamic and interactive visual displays.
- Streamlit: Enables the development of a user-friendly web application for exploring Airbnb data.