Online Food Delivery Preferences

Online Food Delivery Preferences/Dataset/README.md

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+**<h2>Dataset</h2>**
+
+Link : https://www.kaggle.com/datasets/benroshan/online-food-delivery-preferencesbangalore-region/data
+
+`The dataset consists of 388 entries with 55 columns, providing detailed insights into customer preferences and experiences in online food delivery. Key variables include:
+
+1. **Demographics**: Age, gender, marital status, occupation, income, and education levels.
+2. **Geographical Data**: Latitude, longitude, pin codes.
+3. **Service Preferences**: Meal and medium preferences (e.g., "Medium (P1)", "Meal (P1)"), ease, convenience, and time-saving benefits.
+4. **Delivery Experience**: Factors like restaurant choices, payment options, food quality, tracking systems, and road conditions.
+5. **Challenges**: Common issues such as late deliveries, hygiene concerns, wrong orders, missing items, and delivery delays.
+6. **User Feedback**: Reviews, Google Maps accuracy, politeness of delivery personnel, and the influence of ratings.
+7. **Outcome**: Whether this consumer will buy again or not (e.g., "Output").