Synthetic Gold Investor Behavior Dataset

Dataset Description The Synthetic Gold Investor Behavior Dataset contains 500 anonymized records generated to simulate investor demographics and behavioral patterns in gold markets. Each record includes: Investor_ID: Unique identifier Age: Age of investor (20–65) Access_Mode_Code: Encoded as 100 (Web), 101 (App), 102 (Branch) Confidence_Score_Value: Trust score in digital platforms (150–210) Preferred_Asset_Code: Encoded as 301 (Jewellery), 302 (Digital Gold), 304 (ETF), 305 (Gold Bonds) Investment_Frequency: Monthly investment frequency (1–10 times) Investment_Amount: Monthly investment in INR (₹1,000–₹50,000) The dataset is suitable for SPSS statistical analysis and machine learning models in scikit-learn.