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Seun-Data-Analyst/E-commerce-Sales-Analysis-

Domaine:

socioeconomic

Type de record:

dataset
Créateur:
Seu
Hôte:
E-commerce sales analysis of products across Nigeria (electronics, fashion, and home utensils). Includes customer behavior, regional trends, delivery performance, and sales insights, analyzed using Excel. # E-commerce-Sales-Analysis- # 📊 E-Commerce Data Analysis Report --- ## 1. INTRODUCTION This e-commerce dataset brings together information on products from **three main categories**: - Electronics - Fashion - Home Utensils Within these categories, subcategories include **accessories, clothing, appliances, audio, kitchen, and power**, each containing products that reflect everyday shopping trends. The dataset also covers customer activity across **four Nigerian locations**: Abuja, Oyo, Lagos, and Rivers — offering insights into regional e-commerce engagement. By combining product and customer details, this dataset serves as a **useful resource** for research, development, and consumer insights. It provides a solid foundation for understanding **shopping patterns, market trends, and customer behaviour**. > **Note**: This dataset was analyzed using **Excel**. --- ## 1.1 OBJECTIVES I. **Analyze Sales Performance** – Evaluate category and subcategory performance across regions. II. **Understand Customer Behaviour** – Study shopping patterns in Abuja, Oyo, Lagos, and Rivers. III. **Identify Regional Market Trends** – Highlight region-specific product demands. IV. **Measure Product Popularity** – Determine most frequently purchased products. V. **Support Business Decision-Making** – Provide insights for inventory planning, marketing, and customer engagement. --- ## 1.2 SCOPE I. **Product Coverage** – Electronics, fashion, and home utensils (subcategories: accessories, clothing, appliances, audio, kitchen, and power). II. **Geographic Coverage** – Abuja, Oyo, Lagos, and Rivers. III. **Customer Insights** – Shopping patterns, preferences, and demand differences. IV. **Business Applications** – Support for sales strategy, marketing, and inventory planning. V. **Research & Development** – Foundation for market studies and predictive modelling. --- ## 1.3 DATASET OVERVIEW - **Data Source**: Extracted from a reliable e-commerce database. - **Dataset Size**: 1112 …