Diwali Sales Analysis is a project that involves data cleaning and exploratory data analysis (EDA) using Python libraries such as pandas, matplotlib, and seaborn. The goal is to extract valuable insights from sales data, uncover underlying patterns and trends, and make informed decisions to enhance customer experience and optimize inventory planning.
- Data Cleaning: The project involves thorough data cleaning processes to ensure the quality and accuracy of the dataset.
- Exploratory Data Analysis (EDA): Utilizing pandas, matplotlib, and seaborn, the analysis explores the sales data, identifying key trends, patterns, and insights.
- Customer Segmentation: Identification of potential customers based on different factors such as states, occupations, gender, and age groups. This segmentation helps in tailoring marketing strategies for specific customer groups, enhancing overall customer experience.
- Top-Selling Products: The analysis identifies the top-selling product categories and individual products. This information is crucial for optimizing inventory planning, meeting customer demands, and ultimately increasing sales.