Welcome to the Pizza Sales Analysis repository! This project aims to provide insights into pizza sales data, enabling businesses to understand key performance indicators, trends, and customer preferences. Whether you're a pizza restaurant owner or a delivery service, this analysis can help optimize operations and enhance customer satisfaction.
The objective of this project is to conduct a comprehensive analysis of pizza sales data to gain valuable insights into business performance. By calculating metrics such as total revenue, average order value, total pizzas sold, and more, we aim to understand sales dynamics and identify areas for improvement.
- Sales Trends: Identify peak order times, popular pizza categories, and sizes.
- Customer Preferences: Analyze sales by category and size to understand customer preferences.
- Top Sellers: Identify the best and worst-selling pizzas based on total pizzas sold.
- Operational Efficiency: Evaluate operational efficiency to streamline processes and enhance customer satisfaction.
Through thorough analysis, we have gained valuable insights into our pizza sales data. These insights can guide strategic decision-making processes, such as menu optimization, pricing strategies, and marketing campaigns, ultimately improving business performance and customer satisfaction.
- Data Analysis: Explore key metrics and conduct in-depth analysis of sales data.
- Visualization: Visualize sales trends and insights through charts and graphs.
- Recommendations: Provide actionable recommendations for optimizing business operations.
- Daily Trend for Total Orders: Bar chart displaying daily trends in total orders.
- Hourly Trend for Total Orders: Line chart illustrating hourly trends in total orders.
- Percentage of Sales by Pizza Category: Pie chart showing sales distribution across different pizza categories.
- Percentage of Sales by Pizza Size: Pie chart representing sales percentage attributed to different pizza sizes.
- Total Pizzas Sold by Pizza Category: Funnel chart presenting total pizzas sold for each pizza category.
- Top 5 Best Sellers: Bar chart highlighting the top 5 best-selling pizzas.
- Bottom 5 Worst Sellers: Bar chart showcasing the bottom 5 worst-selling pizzas.
data/: Folder containing the raw sales data.scripts/: Scripts for data analysis and visualization.charts/: Generated charts and visualizations.recommendations.md: Actionable recommendations based on analysis findings.README.md: Main README file providing an overview of the project.
- Clone this repository to your local machine.
- Install the necessary dependencies (e.g., Python libraries for data analysis and visualization).
- Run the scripts in the
scripts/folder to analyze the data and generate visualizations. - Explore the generated charts and insights to understand pizza sales trends and make data-driven decisions.
- Your Name
- Ganesh Karwa (Project Presenter)
Feel free to contribute to this project by providing feedback, suggesting improvements, or adding new features! Let's slice through the data and uncover delicious insights together. 🍕📊
