Cosmetic PEH Groupings Analysis
Product Reviews & Feedback
Tags and Keywords
Trusted By




"No reviews yet"
Free
About
Hair cosmetics require a delicate balance of proteins, emollients, and humectants (PEH) to ensure hair remains smooth and shiny. This dataset provides a classification matrix essential for analysing hair care products, containing a detailed list of cosmetic ingredients and their corresponding classification within the PEH spectrum. It identifies whether a product is primarily composed of Proteins (P), Emollients (E), Humectants (H), or a mixture thereof, facilitating the development of balanced hair care solutions and chemical analysis algorithms.
Columns
- ingredients: Contains the full text list of chemical components and compounds found in the specific cosmetic product (e.g., Aqua, Cetearyl Alcohol, Hydrolyzed Milk Protein).
- PEH group: Indicates the classification of the cosmetic based on its primary components, categorised as 'P' (Protein), 'E' (Emollients), 'H' (Humectants), or a mixture.
Distribution
- Format: CSV (.csv)
- File Name: PEH cosmetics.csv
- Size: 72.32 kB
- Structure: 2 columns
- Records: 154 valid rows
- Update Frequency: Never
Usage
- Deep Learning & Classification: Training models to automatically categorise hair care products based on their ingredient lists.
- Cosmetic Application Development: Building apps that assist users in maintaining the PEH balance for hair health.
- Chemical Analysis: Analysing the frequency and combination of specific ingredients like Hydrolyzed Keratin or Glycerin in commercial products.
- Market Research: Identifying trends in ingredient usage across different PEH categories.
Coverage
The dataset covers a chemical inventory of hair care product ingredients. It focuses on the functional classification of these ingredients into proteins, emollients, and humectants. No specific geographic limitation is noted, as ingredient nomenclature (INCI) is generally standardised globally.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For creating classification algorithms and deep learning models.
- Cosmetic Chemists: For analysing ingredient distributions and formulation patterns.
- App Developers: For creating hair care recommendation engines.
- Hair Care Enthusiasts: For personal analysis of product effectiveness and balance.
Dataset Name Suggestions
- PEH Ingredient Classification Matrix
- Hair Care Composition & Balance Dataset
- Cosmetic PEH Groupings Analysis
- Protein Emollient Humectant Ingredients Data
Attributes
Original Data Source: Cosmetic PEH Groupings Analysis
Loading...
