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Nutritional Food Breakdown Inventory
Food & Beverage Consumption
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About
A highly detailed CSV dataset focused on the nutritional composition of over 3,500 individual food items. This product provides essential information on caloric values, macronutrients, and selected micronutrients, making it a valuable resource for analysis in health analytics, dietary studies, and machine learning projects concerning food, nutrition, and wellness. All figures are presented as the calculated content per 100 grams of the food item.
Columns
The dataset contains 13 columns detailing the food item and its nutritional profile:
- food and food_normalized: Provide the original name of the food item and a cleaned, normalised version for data consistency.
- Calories (kcal per 100g): The energy value provided per 100 grams (e.g., mean value is approximately 228 kcal).
- Macronutrients (g per 100g): Includes Carbohydrates (mean approximately 18.7 g), Sugars, Dietary Fiber (mean approximately 2.16 g), Fat (mean approximately 12 g), and Protein (mean approximately 10.8 g).
- Micronutrients (mg per 100g): Includes Calcium, Iron (mean approximately 1.63 mg), Sodium (mean approximately 141 mg), Vitamin C, and Vitamin B11 (Folic acid).
Distribution
The information is delivered in a single, cleaned CSV file titled
cleaned_nutrition_dataset_per100g.csv, with a file size of approximately 329.04 kB. The structure consists of 13 columns and 3454 validated records. This is a fixed collection of data, as the expected update frequency is 'Never'.Usage
Ideal applications include developing analytical tools for health assessments, creating software for dietary planning, performing exploratory data analysis on global food composition, and feeding machine learning models focused on predicting nutritional outcomes or optimising recipes. It is also suitable for data cleaning and data visualization exercises.
Coverage
The dataset focuses exclusively on the measured nutrient metrics of the listed food items. It covers over 3,500 food items. No specific geographical location or time frame is defined for the data collection, as it is a static inventory of food composition facts.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For training and testing algorithms related to food science and health outcomes.
- Health Analysts: To study nutrient density and standard dietary intake patterns.
- Developers: Creating dietary tracking tools and wellness applications.
- Researchers: Requiring validated and clean data on food composition for academic projects.
Dataset Name Suggestions
- Nutritional Food Breakdown Inventory
- Detailed Food Composition Metrics
- Caloric and Nutrient Data per 100g
- Global Food Item Analysis
Attributes
Original Data Source: Nutritional Food Breakdown Inventory
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