📊💊 Pharmacy Sales Analysis and Prediction 💡📈

Welcome to the Pharmacy Sales Analysis and Prediction project! This repository contains the code and data used to analyze historical pharmacy sales data and predict future trends using machine learning. Get ready for a journey through data cleaning, exploratory data analysis, and predictive modeling, all while having a little fun! 😄

🗂️ Table of Contents

• Project Overview
• Data Cleaning
• Exploratory Data Analysis
• Descriptive Analysis
• Predictive Modeling
• Results
• Contributing
• License

🚀 Project Overview

In this project, we dive deep into the world of pharmacy sales to uncover trends, analyze customer behavior, and predict future sales. Here's what we've got in store:

1. Data Cleaning 🧹: Because messy data is nobody's friend!
2. Exploratory Data Analysis 🔍: Finding hidden gems in the data.
3. Descriptive Analysis 📊: Understanding the past to predict the future.
4. Predictive Modeling 🤖: Using Linear Regression to forecast sales.
5. Visualization 🎨: Bringing data to life with beautiful graphs.

🧼 Data Cleaning

Data cleaning is the first step to making sure our analysis is accurate. We handle missing values, remove duplicates, and ensure data consistency. It's like giving your data a nice, refreshing shower! 🚿✨

🔍 Exploratory Data Analysis

In this phase, we explore the data to uncover interesting patterns and insights. Think of it as a treasure hunt, but instead of gold, we're finding valuable data points! 🏴‍☠️💎

📊 Descriptive Analysis

We perform an advanced descriptive analysis to understand the sales trends over time, customer behavior, and much more. It's like getting a sneak peek into the past to prepare for the future! 🕵️‍♀️🔮

🤖 Predictive Modeling

Using the power of Linear Regression, we predict future sales based on historical data. This helps us forecast trends and make informed decisions. It's like having a crystal ball, but powered by math! 🔮📈

🎨 Results

Our results are visualized in stunning graphs that make the data come to life. Check out our Jupyter Notebook for all the details and beautiful visuals. It's data art! 🖼️📉

🌟 Contributing

Want to contribute? Awesome! 🎉 We welcome contributions from everyone. Feel free to fork the repository, make your changes, and submit a pull request. Let's make this project even better together! 🤝

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.