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Sustainable Fashion Item Data
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About
This dataset offers valuable insight into Zara’s dedication to environmental sustainability. It contains information on the price, composition, and eco-tagging of Zara's clothing items, highlighting the company's efforts to reduce its production's carbon footprint. Utilising this data, one can learn about the items produced by Zara and how eco-friendly practices are being incorporated into their production processes. This knowledge fosters a greater understanding of how businesses are becoming more conscious of their environmental impact and taking steps towards a greener future. The dataset provides an overview of Zara clothing items, including item codes, names, descriptions, joint life titles, joint life descriptions, and item prices.
Columns
The dataset is split across at least two files,
fastFasionItemsDim.csv and fastFashionCompDim.csv, which contain the following columns:- item_code: Represents the unique code for each clothing item.
- names: The name of the clothing item.
- descriptions: A description of the clothing item.
- joint life titles: Titles related to the item's life cycle.
- joint life descriptions: Descriptions concerning the item's life cycle.
- item prices: The price of the clothing item.
- part_name: The name of a specific part of the item's composition.
- material: The material used for a particular part of the item.
- percent: The percentage of a given material in the item's composition.
Distribution
The data files are typically in CSV format. For instance,
fastFashionCompDim.csv is approximately 13.19 kB. Specific numbers for rows or records are not explicitly available in the provided information for all columns; for example, detailed value counts for item_code are not available.Usage
This dataset can be applied in various ways, including:
- Making informed decisions about clothing item costs and determining the sustainability of different products based on their compositions.
- Comparing and analysing prices, compositions, and eco-tagging of Zara clothing items to identify the most affordable, sustainable, and best value options for customers.
- Developing a platform to highlight more sustainable brands within fast fashion, encouraging consumers to choose those items.
- Building a predictive model to classify clothing into different categories based on price, composition, and eco-tagging data, thereby helping customers find specific types of clothing more quickly.
Coverage
The dataset focuses on Zara clothing items. However, explicit details regarding geographic coverage, time range, or demographic scope are not provided within the sources.
License
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication license
Who Can Use It
Intended users include:
- Researchers: To make informed decisions about clothing costs and product sustainability based on composition.
- Developers/Innovators: To create platforms that promote sustainable brands.
- Data Scientists/Analysts: To build predictive models for clothing classification.
- Consumers/Shoppers: Indirectly, by benefiting from tools and insights derived from the dataset that help them find sustainable products more easily.
Dataset Name Suggestions
- Zara Eco-Fashion Data
- Fast Fashion Sustainability Insights
- Zara Clothing Eco-Tagging Dataset
- Sustainable Fashion Item Data
- Eco-Friendly Apparel Data
Attributes
Original Data Source: Sustainable Fashion Item Data
QUALITY