Sales and Customer Data Analysis

Sales and Customer Data Analysis  Introduction In the modern business environment, organizations generate large volumes of transactional and customer-related data every day. Converting this raw data into meaningful information is essential for making effective business decisions. The **Sales and Customer Data Analysis** project focuses on analyzing structured business data and presenting it through an interactive dashboard developed using **Streamlit**, an open-source Python framework for data visualization. Project Objective The primary objective of this project is to analyze sales and customer data in a structured manner and extract useful business insights. The project helps in identifying trends, customer behavior, profit distribution, and region-wise performance, which are important for improving strategic decision-making. Data Collection and Preprocessing The dataset used in this project contains business-related attributes such as **Order ID, Customer Name, Product Category,...