1. Data Objective: The primary objective of this dataset is to analyze the sales performance of various batik products, identify trends in customer purchasing behavior, and inform inventory management and marketing strategies for the business 2. Collection Methodology The data was collected automatically manually from the batik vendor. All transactions, including product details, quantities, prices, and dates. 3. Content Summary: The dataset typically contains transaction-level information. Key fields include: Transaction_ID: Unique identifier for each sale. Date: The date of the transaction. Product_Name: Specific name of the batik (e.g., Parang Rusak, Kawung). Product_Category: Type of batik product (e.g., Cloth, Shirt, Dress). Quantity: Number of items sold in the transaction. Unit_Price: Price per unit (IDR). Total_Revenue: The total sales amount for the item. 4. Data Format: The dataset is provided in CSV (Comma Separated Values) format, which is easily readable and compatible with most data analysis tools (Python, R, Excel, etc.). 5. Suggested Use :This dataset is ideal for: Time Series Analysis: Forecasting future demand and sales. Product Performance Analysis: Identifying best-selling and worst-selling batik patterns or categories. Geographical Analysis: If location data is included, determining high-performing sales regions.