This project analyzes Zomato sales data to extract insights and answer specific business queries. The analysis was performed using Python with key data manipulation and visualization libraries. The project highlights include cleaning and preprocessing data, and generating visualizations to support conclusions.
The following Python libraries were utilized in this project: Pandas: For data cleaning, transformation, and analysis. NumPy: For numerical computations. Matplotlib: For creating basic plots and visualizations. Seaborn: For advanced visualizations and aesthetically pleasing plots.