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awoke800/Ethiopia-Coffee-Market-Analytics-Dashboard

Domain:

agriculture

Record type:

software
Creator:
awo
Host:
An interactive data analytics dashboard exploring Ethiopian coffee market trends, prices, trading volume, market insights, and forecasting using Python and Streamlit. # ☕ Ethiopia Coffee Market Analytics Dashboard and Dynamic upload and anlaytics dashboard ## 📌 Project Overview The Ethiopia Coffee Market Analytics Dashboard is an interactive data visualization and analytics application developed using Python, Streamlit, Pandas, and Plotly. The dashboard enables users to explore Ethiopian coffee market data through dynamic filters, key performance indicators (KPIs), trend analysis, forecasting, and automated market insights. This project was developed as a Data Science portfolio project to demonstrate skills in data cleaning, exploratory data analysis, dashboard development, and business intelligence ## 🚀 Features * Interactive dashboard built with Streamlit * Dynamic filtering by year, warehouse, and coffee type * Real-time KPI cards * Coffee price trend analysis * Monthly trading volume analysis * High vs. Low price comparison * Production year performance analysis * Automated market insights * Forecasting of future coffee prices * Download filtered datasets ## 📊 Dashboard Analytics The dashboard provides insights into: * Average Closing Price * Highest Market Price * Trading Volume (Ton) * Coffee Symbol Performance * Warehouse Performance * Monthly Market Trends * Price Forecasting * Market Summary Insights ## 🛠️ Technologies Used * Python * Streamlit * Pandas * NumPy * Plotly * Scikit-learn ## 📂 Dataset The dataset contains Ethiopian coffee market trading records including: * Trade Date * Coffee Symbol * Warehouse * Production Year * Opening Price * Closing Price * High Price * Low Price * Volume (Ton) * Percentage Change ## 📈 Key Objectives * Analyze Ethiopian coffee market performance. * Identify market trends and price movements. * Compare warehouse trading activities. * Generate actionable business insights. * Visualize coffee market data interactively. ## 🎯 Project Outcomes This dashboard helps users: * Monitor coffee market performance. * Track price fluctuations over time. * Identify high-performing coffee categories. …

Visit

github.com

Languages

Amharic

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