您現(xiàn)在的位置: > 大學(xué)英語(yǔ)六級(jí) > DAT DAT的音標(biāo)是/d?t/,基本翻譯為“數(shù)據(jù)”、“資料”、“材料”,可以用諧音記憶法速記,可以聯(lián)想“大米(dai)”。
DAT這個(gè)詞的英文詞源可以追溯到拉丁語(yǔ)詞根"data",意為"被給予的"或"提供的"。它的變化形式主要有過(guò)去式"didact"和過(guò)去分詞"didacta"。
相關(guān)單詞:
"didactic":意為"教導(dǎo)的",這個(gè)詞源于"didact"形式,表示教育、教導(dǎo)的含義。
"didactics":意為"教育法",這個(gè)詞是由"didact"和"ics"組成的,表示教育理論和實(shí)踐的方法。
"datum":意為"數(shù)據(jù)",這個(gè)詞是由"data"演變而來(lái),表示作為推理或分析基礎(chǔ)的已知事實(shí)或數(shù)字。
"datability":意為"可提供的數(shù)據(jù)",這個(gè)詞是由"data"和"ability"組成的,表示可以提供的數(shù)據(jù)的可獲得性。
"data-driven":意為"數(shù)據(jù)驅(qū)動(dòng)的",這個(gè)詞是由"data"和"driven"組成的,表示基于數(shù)據(jù)的決策或分析方法。
"data-mining":意為"數(shù)據(jù)挖掘",這個(gè)詞是由"data"、"mining"和"ing"組成的,表示從大量數(shù)據(jù)中提取有價(jià)值信息的過(guò)程。
"data-rich":意為"數(shù)據(jù)豐富的",這個(gè)詞是由"data"、"rich"和"y"組成的,表示數(shù)據(jù)量大的狀態(tài)或情況。
"data-based": 意為基于數(shù)據(jù)的,這個(gè)詞是由“data”和“based”組成的,表示以數(shù)據(jù)為依據(jù)或基礎(chǔ)的行為或決策。
"data-intensive": 意為數(shù)據(jù)密集的,這個(gè)詞是由“data”、“intensive”和“y”組成的,表示數(shù)據(jù)在決策或分析中的重要性的狀態(tài)。
以上十個(gè)單詞都與DAT這個(gè)詞有著密切的聯(lián)系,它們?cè)谟⒄Z(yǔ)中廣泛使用,并被用于各種不同的語(yǔ)境中。
常用短語(yǔ):
1. data set
2. data collection
3. data analysis
4. data mining
5. data visualization
6. data processing
7. data storage
8. data sharing
例句:
1. We are collecting data sets for a research project.(我們正在收集數(shù)據(jù)集用于一項(xiàng)研究項(xiàng)目。)
2. The data analysis revealed some interesting trends.(數(shù)據(jù)分析揭示了一些有趣的趨勢(shì)。)
3. The data mining process identified several key patterns.(數(shù)據(jù)挖掘過(guò)程發(fā)現(xiàn)了幾個(gè)關(guān)鍵的模式。)
4. The data visualization tool makes it easy to interpret complex information.(數(shù)據(jù)可視化工具使解釋復(fù)雜信息變得容易。)
5. The data processing took several hours, but the results were worth it.(數(shù)據(jù)處理花費(fèi)了幾個(gè)小時(shí),但結(jié)果是值得的。)
6. The data is stored securely in a central location.(數(shù)據(jù)安全地存儲(chǔ)在一個(gè)中央位置。)
7. The dataset can be shared with other researchers for further analysis.(該數(shù)據(jù)集可以與其他研究人員分享以供進(jìn)一步分析。)
英文小作文:
Data is the lifeblood of modern research and analysis. From collecting data sets to analyzing trends and patterns, data plays a crucial role in many fields, including academia, business, and government. With the help of modern technology, data can be stored securely, shared easily, and visualized in a clear and understandable way. However, data is not always easy to collect, process, and analyze, which is why it is essential to have a team of skilled data analysts who can handle this task effectively. In the future, we can expect data to play an even greater role in decision-making processes, as it provides a more objective and accurate picture of the world around us.
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