This repository contains the analysis of "Suka Makmur," an e-commerce platform. The analysis focuses on understanding customer behavior, payment processing, order management, and seller relationships. The goal is to uncover insights that can guide business decisions and improvements.
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Introduction: Learn about the emergence of "Suka Makmur" and the role of data analysis in its journey.
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Challenges: Explore the challenges faced by "Suka Makmur" in areas like customer engagement, payment processing, order management, and seller relations.
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Data Analysis: Discover how data analysis, powered by the
DataAnalysis
class, played a crucial role in addressing these challenges. -
The Journey: Dive into the specifics of the analysis, including customer city analysis, payment type distribution, payment value trends, order status insights, and popular seller cities.
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Dataset Description: Understand the dataset used for analysis, which includes customer data, payment records, order details, and seller information.
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Analysis Methods: Get an overview of the methods used for data loading, cleansing, and analysis, including code snippets.
Explore the key findings and recommendations from the analysis:
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Customer City Analysis: Identify popular customer cities and gather insights for targeted strategies.
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Payment Type Analysis: Understand the distribution of payment types and improve the payment experience.
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Payment Value Median: Determine the median payment value to better understand payment patterns.
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Order Status Analysis: Gain insights into order statuses for different cities and improve order management.
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Seller City Analysis: Identify popular seller cities and explore opportunities for partnerships and growth.
Disclaimer: “Suka Makmur” is a fictional entity used solely for the purpose of illustrating the approach and analysis in this report. It does not represent any real organization or entity.