Comprehensive Analysis of Global Superstore Sales and TrendsComprehensive Analysis of Global Superstore Sales and Trends
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End to end analysis of the Global Superstore dataset, focusing on understanding sales performance, customer behavior, and shipping efficiency across multiple regions and markets.
The analysis follows a structured data analytics workflow:
1. Data Cleaning & Preparation
2. Exploratory Data Analysis (EDA)
3.Data Visualization
All analyses were performed using Python (Pandas,NumPY, Matplotlib, and Seaborn) with a focus on generating business-driven insights and supporting data-informed decision-making.
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