Filterable: meaning, definitions and examples
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filterable
[ ˈfɪltərəbl ]
data management
The term 'filterable' refers to the capability of an item or dataset to be filtered based on specific criteria. In the context of data management, filterable data allows users to narrow down options or views by applying certain conditions or parameters. This feature is particularly useful in software applications, databases, and web interfaces. Filterable attributes can enhance user experience by making navigation easier and more efficient, especially when dealing with large volumes of information.
Synonyms
narrowable, refinable, selectable.
Examples of usage
- A filterable list makes it easier to find specific information.
- The search function is more effective when the results are filterable.
- In Excel, you can create filterable tables to analyze data.
- Our database contains filterable fields for user queries.
Translations
Translations of the word "filterable" in other languages:
🇵🇹 filtrável
🇮🇳 फिल्टर करने योग्य
🇩🇪 filterbar
🇮🇩 dapat difilter
🇺🇦 фільтруючий
🇵🇱 filtrowalny
🇯🇵 フィルタ可能な
🇫🇷 filtrable
🇪🇸 filtrable
🇹🇷 filtrelenebilir
🇰🇷 필터링 가능
🇸🇦 قابل للتصفية
🇨🇿 filtrovatelný
🇸🇰 filterovateľný
🇨🇳 可过滤的
🇸🇮 filterljiv
🇮🇸 síuvalanlegur
🇰🇿 фильтрлеуге болады
🇬🇪 ფილტრბადი
🇦🇿 filtrlenə bilən
🇲🇽 filtrable
Etymology
The word 'filterable' is derived from the verb 'filter', which originates from the Middle English term 'filteren', meaning 'to cause to pass through a filter'. The idea of filtering dates back to the 15th century, when it referred to the process of separating solid particles from liquids or gases. The suffix '-able' is added to indicate the potential or capacity for something to be done. In modern usage, particularly with the rise of digital technology and data analytics, 'filterable' has become increasingly relevant, as users expect to refine and sort information in a straightforward manner. As databases and software applications have evolved, the need for filterable options has grown, making the term common in discussions around user interface design and data retrieval systems.