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Nutritional Analysis of Indian Dishes
Patient Health Records & Digital Health
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About
The nutritional landscape of Indian cuisine with this dataset, which details the dietary components of various Indian dishes. It offers a breakdown of macronutrients, vitamins, and minerals for different food items, categorised by meal type and dietary preference (vegetarian or non-vegetarian). This information is valuable for developing diet recommendation systems, nutritional analysis applications, and food science research.
Columns
- Food_items: The name of the Indian food item.
- Breakfast: A binary indicator; 1 if the item is suitable for breakfast, 0 otherwise.
- Lunch: A binary indicator; 1 if the item is suitable for lunch, 0 otherwise.
- Dinner: A binary indicator; 1 if the item is suitable for dinner, 0 otherwise.
- VegNovVeg: A binary indicator for dietary preference; 1 for non-vegetarian, 0 for vegetarian.
- Calories: The total caloric content of the food item.
- Fats: The total fat content.
- Proteins: The total protein content.
- Iron: The total iron content.
- Calcium: The total calcium content.
- Sodium: The total sodium content.
- Potassium: The total potassium content.
- Carbohydrates: The total carbohydrate content.
- Fibre: The total fibre content.
- VitaminD: The total Vitamin D content.
- Sugars: The total sugar content.
Distribution
The data is provided in a single CSV file named
indian_rda_based_diet_recommendation_system.csv with a size of 5.17 kB. It contains 89 records across 16 columns.Usage
Ideal applications for this dataset include building dietary recommendation systems tailored to Indian cuisine, creating tools for meal planning and nutritional tracking, and conducting data visualization projects on the nutritional profiles of various dishes. It can also be used for classification tasks in machine learning, such as predicting whether a dish is vegetarian or suitable for a specific meal.
Coverage
The dataset focuses on food items from Indian cuisine. It does not have an explicit geographic or demographic scope beyond the origin of the dishes. There is no specified time range for the data collection.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For building classification models and recommendation engines.
- Nutritionists and Dietitians: To analyse the nutritional content of Indian meals and create customised diet plans.
- App Developers: To create food and health applications focused on Indian recipes.
- Researchers: To study the dietary patterns and nutritional components of Indian food.
- Students: For projects in computer science, data visualization, and nutrition.
Dataset Name Suggestions
- Nutritional Analysis of Indian Dishes
- Indian Cuisine Dietary and Calorie Data
- Indian Food Macronutrient Database
- RDA-Based Indian Diet Recommendation Data
Attributes
Original Data Source: Nutritional Analysis of Indian Dishes
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