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This repository dives into Valentine's trends and behaviors using SQL, focusing on exploratory data analysis to uncover patterns and insights. It features SQL queries, datasets, and documentation to guide readers through the process. Designed for collaboration and educational use.

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valentine's_analysis

Valentine's Analysis [Dummy Dataset]

This repository contains the Valentine's Analysis project, which uses SQL queries to explore and analyze data on Valentine-related trends and behaviors. The project focuses on deriving insights from the dataset and presenting findings in a structured manner.

Repository Contents

  • Dataset/: Contains the dataset used for the analysis.
    • valentine_purchases.csv: The dataset used for exploratory data analysis.
  • MySQL_Scripts/: Includes SQL scripts for analysis.
    • valentine_purchases.sql: SQL queries used for the exploratory data analysis.
  • Documentation/: Comprehensive PDF document explaining the process.
    • Valentine's Day Sales Analysis.pdf: Details the exploratory analysis with SQL queries.

Objectives

  1. Analyze Revenue and Sales Performance.
  2. Evaluate Customer Demographics and Buying Behavior.
  3. Identify Shopping Trends and Best-Selling Products.
  4. Assess Search Behavior and Conversion Rates.
  5. Analyze Geographical Performance Meetup Points.
  6. Evaluate Customer Spending and Values.

How to Use

  1. Clone the repository:
    git clone https://github.com/your-username/Valentine_Analysis.git
  2. Import the dataset into a SQL database (e.g., MySQL Workbench).
  3. Run valentine_purchases.sql in the MySQL_Scripts/ folder for analysis.

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This repository dives into Valentine's trends and behaviors using SQL, focusing on exploratory data analysis to uncover patterns and insights. It features SQL queries, datasets, and documentation to guide readers through the process. Designed for collaboration and educational use.

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