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.
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.
- Analyze Revenue and Sales Performance.
- Evaluate Customer Demographics and Buying Behavior.
- Identify Shopping Trends and Best-Selling Products.
- Assess Search Behavior and Conversion Rates.
- Analyze Geographical Performance Meetup Points.
- Evaluate Customer Spending and Values.
- Clone the repository:
git clone https://github.com/your-username/Valentine_Analysis.git
- Import the dataset into a SQL database (e.g., MySQL Workbench).
- Run valentine_purchases.sql in the MySQL_Scripts/ folder for analysis.