USDA Nutrition Dataset for the Apps for Healthy Kids Competition|营养数据数据集|健康干预数据集

**Overview**
This data package shows the information on Condiments Required in Food, Food Group Display, Global Health Nutrition Data, Condiment Food for USDA Kids and USDA Nutrient Retention Factors

**Description**
This data package provides information on total calories, calories from “extras” and MyPyramid food groups for over 1,000 commonly eaten foods. It also contains retention factors for vitamins, minerals and alcohol food preparation. Nutrient retention factors are given for a range of cooking and preparation methods such as, but not limited to, baked, boiled, reheated, broiled, pared, and drained.

**Benefits**
- The data contained is useful to prepare and implement obesity focused preventive interventions.
- useful for traditional interventions based on awareness and information of people and for interventions based on software applications.
- the fields descriptions along with the dataset description are again useful for user to quick understand the data and the dataset.

**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

**Included Datasets**
- [Condiments Required in Food](https://www.johnsnowlabs.com/marketplace/condiments-required-in-food)
- The Apps for Healthy Kids competition is a part of First Lady Michelle Obama’s "Let’s Move!" campaign to end childhood obesity within a generation. Apps for Healthy Kids challenges software developers, game designers, students, and other innovators to develop fun and engaging software tools and games that drive children, especially “tweens” (ages 9-12) – directly or through their parents – to eat better and be more physically active.
- [Food Group Display](https://www.johnsnowlabs.com/marketplace/food-group-display)
- The dataset provides information on total calories, calories from “extras” (solid fats and added sugars), and MyPyramid food groups for over 1,000 commonly eaten foods. Innovative and creative tools and games are being sought that use the United States Department of Agriculture (USDA) dataset to deliver nutrition and health concepts in a fun and engaging way, which is part of the former First Lady Michelle Obama’s "Let’s Move!" campaign.
- [Global Health Nutrition Data](https://www.johnsnowlabs.com/marketplace/global-health-nutrition-data)
- This dataset includes 345 indicators, such as immunization rates, malnutrition prevalence, and vitamin A supplementation rates across 263 countries around the world. Data were collected on a yearly basis from 1960-2016.
- [LU Condiment Food for USDA Kids App](https://www.johnsnowlabs.com/marketplace/lu-condiment-food-for-usda-kids-app)
- The dataset provides information on total calories, calories from “extras” (solid fats and added sugars), and MyPyramid food groups for over 1,000 commonly eaten foods. Innovative and creative tools and games are being sought that use the United States Department of Agriculture (USDA) dataset to deliver nutrition and health concepts in a fun and engaging way, which is part of the former First Lady Michelle Obama’s "Let’s Move!" campaign.
- [USDA Nutrient Retention Factors](https://www.johnsnowlabs.com/marketplace/usda-nutrient-retention-factors)
- This dataset contains retention factors for vitamins, minerals and alcohol food preparation. Nutrient retention factors are given for a range of cooking and preparation methods such as, but not limited to, baked, boiled, reheated, broiled, pared, and drained.

**Data Engineering Overview**
**We deliver high-quality data**
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted

**Our data is curated and enriched by domain experts**

Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.

**Need Help?**
If you have questions about our products, contact us at [[e-mail]](mailto:[e-mail]).