data

简明释义

英[ˈdeɪtə]美[ˈdeɪtə;ˈdætə]

n. 数据，资料；（储存在计算机中的）数据资料

【名】 （Data）（日）驮太，（印、葡）达塔（人名）

英英释义

单词用法

同义词

反义词

例句

1.Data mining is used to analyse individuals' buying habits.

数据挖掘技术被用于分析个人的购买习惯。

2.They had hacked secret data.

他们窃取了保密数据。

3.The program will prompt you to enter data where required.

这个程序在必要时将提醒你输入数据。

4.Computers can now output data much more quickly.

现在计算机能更快地输出数据。

5.Computer crimes include data theft and pirating software.

计算机犯罪包括数据窃取和盗版软件。

6.The data in the cells should be left-justified.

存储单元里的数据应该左对齐。

7.This data is shown graphically on the opposite page.

对页以图表显示这些数据。

8.10% of the data was discarded as unreliable.

10%的数据因不可靠而被废弃。

9.We need to store the data securely to prevent unauthorized access.

我们需要安全地存储数据以防止未经授权的访问。

10.This software can process large sets of data quickly and efficiently.

该软件可以快速高效地处理大量数据。

11.The scientist collected the data to analyze the effects of climate change.

科学家收集了数据以分析气候变化的影响。

12.The data from the survey revealed interesting trends.

调查中的数据揭示了有趣的趋势。

13.The marketing team presented the data showing customer preferences.

市场团队展示了显示客户偏好的数据。

作文

In today's digital age, the term data (数据) has become a cornerstone of our understanding of technology and information. From the moment we wake up to the time we go to bed, we are surrounded by data (数据) that shapes our decisions, influences our opinions, and enhances our daily lives. Whether it is through social media, online shopping, or even our smartphones, the constant flow of data (数据) has revolutionized how we interact with the world around us.At its core, data (数据) refers to facts, figures, and statistics collected for analysis. In the context of business, data (数据) can provide insights into consumer behavior, market trends, and operational efficiency. Companies today rely heavily on data (数据) analytics to make informed decisions that drive growth and profitability. For instance, e-commerce giants like Amazon utilize data (数据) to recommend products based on previous purchases, thereby enhancing customer experience and increasing sales.Moreover, in the field of healthcare, data (数据) plays a vital role in improving patient outcomes. By analyzing data (数据) from clinical trials and patient records, medical professionals can identify patterns and develop more effective treatment plans. The COVID-19 pandemic has further highlighted the importance of data (数据) in tracking virus spread, vaccine efficacy, and public health responses. Governments and organizations worldwide have relied on data (数据) to inform policies and allocate resources effectively.However, the proliferation of data (数据) also raises significant ethical concerns. With the vast amounts of data (数据) being collected, issues related to privacy and security have come to the forefront. Individuals often unknowingly share their personal information through various platforms, leading to potential misuse of their data (数据). It is crucial for organizations to implement robust measures to protect user data (数据) and ensure transparency in how it is used.Furthermore, the interpretation of data (数据) is not always straightforward. Misleading conclusions can be drawn if data (数据) is taken out of context or manipulated to support a specific agenda. Therefore, critical thinking and statistical literacy are essential skills in today's world. Understanding how to analyze and interpret data (数据) allows individuals to make better-informed decisions and engage in meaningful discussions about current events and societal issues.In conclusion, data (数据) is an integral part of our modern existence, influencing various aspects of life, from business to healthcare to personal decision-making. As we continue to navigate this data-driven world, it is imperative to recognize the power and responsibility that comes with handling data (数据). By prioritizing ethical practices and fostering a culture of data literacy, we can harness the potential of data (数据) to create a more informed and equitable society.

在当今的数字时代，术语data（数据）已成为我们理解技术和信息的基石。从我们醒来的那一刻到上床睡觉，我们周围都充斥着影响我们决策、影响我们观点并增强我们日常生活的data（数据）。无论是通过社交媒体、在线购物，还是我们的智能手机，持续流动的data（数据）彻底改变了我们与周围世界的互动方式。从本质上讲，data（数据）指的是为分析而收集的事实、数字和统计数据。在商业背景下，data（数据）可以提供有关消费者行为、市场趋势和运营效率的洞察。如今，公司在做出推动增长和盈利的明智决策时，极度依赖data（数据）分析。例如，电子商务巨头亚马逊利用data（数据）根据先前的购买推荐产品，从而增强客户体验并增加销售。此外，在医疗领域，data（数据）在改善患者结果方面发挥着至关重要的作用。通过分析来自临床试验和患者记录的data（数据），医疗专业人员可以识别模式并制定更有效的治疗计划。新冠疫情进一步突显了在追踪病毒传播、疫苗有效性和公共卫生响应方面，data（数据）的重要性。世界各地的政府和组织依赖于data（数据）来告知政策和有效分配资源。然而，data（数据）的激增也引发了重大伦理问题。随着大量data（数据）的收集，隐私和安全相关的问题浮出水面。个人通常在各种平台上不知不觉地分享他们的个人信息，导致其data（数据）可能被滥用。组织实施强有力的措施来保护用户data（数据）并确保其使用的透明性至关重要。此外，解读data（数据）并不总是简单明了的。如果data（数据）脱离上下文或被操纵以支持特定议程，可能会得出误导性的结论。因此，批判性思维和统计素养在当今世界中是必不可少的技能。理解如何分析和解读data（数据）使个人能够做出更明智的决策，并就当前事件和社会问题进行有意义的讨论。总之，data（数据）是我们现代生活中不可或缺的一部分，影响着商业、医疗和个人决策等各个方面。当我们继续在这个数据驱动的世界中航行时，认识到处理data（数据）所带来的力量和责任是至关重要的。通过优先考虑伦理实践和培养数据素养文化，我们可以利用data（数据）的潜力，创造一个更具信息性和公平的社会。