filterable
简明释义
adj. 滤过性的;可滤过的
英英释义
能够被过滤或从混合物中分离的。 | |
Referring to data or information that can be sorted or refined based on specific criteria. | 指可以根据特定标准进行排序或精炼的数据或信息。 |
单词用法
可过滤的数据 | |
可过滤的列表 | |
可过滤的选项 | |
可过滤的字段 | |
可过滤的结果 | |
可过滤的属性 |
同义词
可筛选的 | 该数据集可以根据特定标准进行筛选。 | ||
可筛分的 | 这种材料可以筛分以去除杂质。 | ||
可选择的 | You can make the items selectable based on user preferences. | 您可以根据用户偏好使项目可选择。 | |
可提炼的 | 该油可以提炼以达到更高的纯度。 |
反义词
不可过滤的 | 由于其复杂性,该数据集是不可过滤的。 | ||
未过滤的 | 未过滤的结果可能导致不准确的结论。 |
例句
1.This article has analysed the active filterable electric circuit in principle and shown you another one consisted of compound transistor with better effect of filtration.
本文对有源滤波电路作了原理性分析,给出了滤波效果更好的复合晶体管组成的有源滤波电路。
2.This article has analysed the active filterable electric circuit in principle and shown you another one consisted of compound transistor with better effect of filtration.
本文对有源滤波电路作了原理性分析,给出了滤波效果更好的复合晶体管组成的有源滤波电路。
3.Most providers of an XSLT processor added an extension function, usually called node-set , which allows the RTF to become a navigable and filterable tree.
多数XSLT处理程序的提供商都增加了一个扩展函数,通常称为node - set,它可以把RTF变成可导航、可筛选的树。
4.With water as urea solvent and an organic chlorine compound as activator, the adducts formed into small spheres which are easily filterable.
用尿素饱和水溶液,有机氯化物为活化剂,生成的尿素-正烷烃络合物成球状,易于过滤分离。
5.Under your filterable property, you need to add a ui property and set it equal to the function you wish to call.
你的过滤性能,你需要添加一个用户界面属性和设置它等于要调用的函数。
6.This Object History pane is highly filterable and sort-able, and there is a grid in which you view the report.
该ObjectHistory窗格具有高度的筛选性和分类性,而且有表格使您可以查看报告。
7.Using the node-set extension function to convert a Result Tree Fragment (RTF) to be navigable and filterable.
使用node - set扩展函数使结果树片段(rtf)能够导航和筛选。
8.An organic wetting agent or foam suppressant is quite helpful in the formation of filterable hemihydrate.
某种有机的润湿剂或消泡剂十分有助于形成可过滤的半水物。
9.As observed with the chickens, the filterable agent, a virus, could seldom be recovered from the malignant tumor which it had induced.
在鸡身上观察到,一种叫滤过性病原体的病毒,很少能从它诱发的恶性肿瘤中恢复过来。
10.The data set is filterable 可过滤的 by date, allowing users to view information from specific time periods.
这个数据集是可过滤的,允许用户查看特定时间段的信息。
11.In the online store, products are filterable 可过滤的 by categories such as price, brand, and rating.
在网上商店中,产品可以根据价格、品牌和评级等类别进行可过滤的筛选。
12.The application features a filterable 可过滤的 search function that helps users find relevant results quickly.
该应用程序具有一个可过滤的搜索功能,帮助用户快速找到相关结果。
13.Our database allows for filterable 可过滤的 queries, enabling more efficient data retrieval.
我们的数据库允许进行可过滤的查询,从而实现更高效的数据检索。
14.The website's user interface includes a filterable 可过滤的 list of articles based on topics.
该网站的用户界面包含一个基于主题的可过滤的文章列表。
作文
In today's digital age, the ability to manage and analyze vast amounts of data is crucial for both individuals and organizations. One important concept that has emerged in this context is the idea of filterable data. Data that is filterable allows users to sift through information quickly and efficiently, enabling them to focus on what is most relevant to their needs. This essay will explore the significance of filterable data, its applications, and how it enhances decision-making processes. To begin with, let's define what we mean by filterable. In simple terms, filterable refers to the capability of a dataset to be sorted or narrowed down based on specific criteria. For instance, in a database of customers, one might want to view only those who made purchases within the last month or those who live in a particular region. By applying filters, users can create a more manageable subset of data that is easier to analyze and interpret. The importance of filterable data cannot be overstated. In a world where information overload is a common challenge, having the ability to filter out noise from valuable insights is essential. For example, businesses often collect massive amounts of data from various sources, including sales figures, customer feedback, and market trends. Without the ability to make this data filterable, decision-makers would struggle to identify patterns and make informed choices. Moreover, filterable data plays a vital role in enhancing user experience on digital platforms. Websites and applications that offer filterable search options allow users to customize their searches according to their preferences. For instance, an online shopping website may enable users to filter products by price, brand, or customer rating. This not only saves time but also increases customer satisfaction, as users can quickly find what they are looking for without having to wade through irrelevant options. In addition to improving efficiency, filterable data also supports better analytical practices. When data sets are filterable, analysts can easily isolate variables and conduct focused studies. For example, a researcher studying the effects of a new marketing strategy can filter the data to include only those customers who were exposed to the campaign. This targeted approach leads to more accurate conclusions and actionable insights. Furthermore, the rise of big data has made the need for filterable datasets even more pressing. Organizations now have access to terabytes of information, and the ability to filter this data effectively is essential for gaining a competitive edge. Companies that can harness filterable data can respond more swiftly to market changes, tailor their offerings to meet consumer demands, and ultimately drive growth. In conclusion, the concept of filterable data is central to effective data management in the modern world. It allows individuals and organizations to navigate the overwhelming amount of information available today, making it possible to extract meaningful insights that inform decision-making. As we continue to generate and rely on data, the importance of filterable datasets will only increase, highlighting the need for tools and strategies that facilitate efficient data analysis. Embracing the power of filterable data will undoubtedly lead to more informed choices and improved outcomes in various fields, from business to research and beyond.
在当今数字时代,管理和分析大量数据的能力对个人和组织至关重要。一个重要的概念是“filterable(可过滤的)”数据。可过滤的数据使用户能够快速高效地筛选信息,使他们能够专注于最相关的需求。本文将探讨可过滤数据的重要性、应用及其如何增强决策过程。 首先,让我们定义一下什么是filterable。简单来说,filterable指的是数据集根据特定标准进行排序或缩小的能力。例如,在客户数据库中,人们可能想查看最近一个月内购买过商品的客户,或者那些居住在特定地区的客户。通过应用过滤器,用户可以创建一个更易于分析和解释的数据子集。 可过滤数据的重要性不容小觑。在信息过载普遍存在的世界中,能够过滤噪音并提取有价值的见解至关重要。例如,企业通常从各种来源收集大量数据,包括销售数字、客户反馈和市场趋势。如果没有使这些数据可过滤的能力,决策者将难以识别模式和做出明智的选择。 此外,可过滤数据在提升数字平台用户体验方面也发挥着重要作用。提供可过滤搜索选项的网站和应用程序允许用户根据自己的偏好自定义搜索。例如,一个在线购物网站可能允许用户按价格、品牌或客户评分过滤产品。这不仅节省了时间,还提高了客户满意度,因为用户可以快速找到自己所需的产品,而无需浏览无关的选项。 除了提高效率外,可过滤数据还支持更好的分析实践。当数据集可过滤时,分析师可以轻松隔离变量并进行重点研究。例如,研究人员在研究新营销策略的效果时,可以过滤数据,只包括接触过该活动的客户。这种有针对性的方法导致更准确的结论和可操作的见解。 此外,大数据的兴起使得对可过滤数据集的需求更加迫切。组织现在可以访问数TB的信息,而有效过滤这些数据的能力对于获得竞争优势至关重要。能够利用可过滤数据的公司可以更迅速地应对市场变化,根据消费者需求量身定制产品,最终推动增长。 总之,filterable数据的概念是现代世界中有效数据管理的核心。它使个人和组织能够导航当今可用的海量信息,从而提取有意义的见解来指导决策。随着我们继续生成和依赖数据,可过滤数据集的重要性只会增加,这凸显了促进高效数据分析的工具和策略的必要性。拥抱可过滤数据的力量无疑将导致更明智的选择和各个领域的改善结果,从商业到研究及其他领域。
文章标题:filterable的意思是什么
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