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数据分析程序英文解释翻译、数据分析程序的近义词、反义词、例句

英语翻译:

【计】 DAP

分词翻译:

数据的英语翻译:

data
【计】 D; data
【化】 data
【经】 data; datum; figure; quantitative data

分析程序的英语翻译:

【计】 analysis program; parser program; parser table; parsing program
routine analyzer

网络扩展解释

数据分析程序

数据分析程序(shù jù fēn xī chéng xù)是一种用于处理数据和提取有用信息的计算机程序。

它可以对大量数据进行统计、分析和可视化,并根据数据的趋势和模式生成报告和预测。

数据分析程序在各个领域中被广泛应用,包括市场营销、航空航天、金融、医疗保健等。它们可以帮助企业和组织做出更明智的决策,优化业务流程,提升效率。

Data Analytics Program

A data analytics program is a computer program used to process data and extract useful information.

It can perform statistical analysis, data mining, and data visualization, and generate reports and predictions based on data trends and patterns.

Data analytics programs are widely used in various fields, including marketing, aerospace, finance, healthcare, etc. They help businesses and organizations make more informed decisions, optimize workflows, and increase efficiency.

Pronunciation

English: [deɪtə ænəˈlɪtɪks ˈproʊɡræm]

Usage

Data analytics programs are used to analyze large amounts of data and provide valuable insights.

These programs can process structured and unstructured data, and they employ various statistical models and algorithms to identify patterns, correlations, and anomalies in the data.

The insights gained from data analysis can be used to drive business decisions, improve strategies, and optimize processes.

Example Sentences

1. This data analytics program allows us to identify customer preferences and target our marketing efforts effectively. (这个数据分析程序可以帮助我们识别客户偏好,从而更有效地进行市场营销。)

2. By using a data analytics program, the company was able to reduce costs and increase its overall profitability. (通过使用数据分析程序,该公司成功降低了成本并提高了整体盈利能力。)

Synonyms

1. Data analysis software (数據分析软件)

2. Statistical analysis tool (统计分析工具)

Antonyms

No antonyms found.

Word Frequency

The term "data analytics program" is commonly used in the field of data science and is considered a popular and important concept in the analytics industry.

Its frequency of use may vary depending on the context and industry, but it is widely recognized and understood by professionals in the field.

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