This project is designed to analyze and visualize ice cream ratings using Python, leveraging Pandas for data manipulation and Matplotlib for data visualization. The dataset consists of daily ratings for different ice cream flavors, stored in a CSV file.
✅ Data Preprocessing Loading and structuring the dataset, setting appropriate indexes, and ensuring data consistency.
✅ Exploratory Data Analysis (EDA) Identifying trends, variations, and rating distributions over time.
✅ Advanced Data Visualization
- Line Charts To track daily rating trends.
- Stacked Bar Charts For comparing different categories of ratings.
- Customized Visuals Using
seaborn-v0_8-posterstyle for professional and aesthetically pleasing plots.
✅ Interactive & Future Enhancements Potential integration with Plotly or Power BI for interactive visualizations and machine learning models to predict rating trends.
This project is an excellent resource for data analysts, data visualization enthusiasts, and anyone looking to enhance their skills in time-series data analysis and insightful reporting.