categorise

"categorise" 的音标为 [ˈkætɪzɪz]。

基本翻译为"分类"，即把事物按照一定的标准或规则进行分类。

速记技巧为：在发音中，字母"a"的发音类似于中文的“啊”声，因此可以尝试通过这个发音特点来快速记忆单词。同时，"cat" 和 "categorise" 在英文中都含有分类的意思，可以联想记忆。

Categorise这个词的词源可以追溯到拉丁语词根"categoria"，意为“类别”。它经过了几个世纪的演变，最终在英语中形成了现在的形式。

变化形式：

词形变化上，categorise主要在词尾加"-ise"构成动词形式，表示将事物归类或分类。

相关单词：

1. categorize：动词形式，意为“分类”，常用于科学或技术领域。

2. category：名词形式，意为“类别”，是分类的基础单位。

3. classification：名词形式，意为“分类”，常用于科学或技术领域。

4. categorization：名词形式，意为“分类过程”，用于描述对事物进行分类的过程。

5. categorically：副词形式，意为“明确地，断然地”，用于表示对某事的坚定态度或坚决主张。

6. categorically-based：形容词形式，意为“基于类别的”，用于描述基于类别的基础结构或系统。

7. categorization-driven：形容词形式，意为“分类驱动的”，用于描述某种方法或策略是受分类驱动的。

8. categorization-oriented：形容词形式，意为“以分类为导向的”，用于描述某种方法或策略是以分类为基础的。

9. category-specific：形容词形式，意为“特定类别的”，用于描述某个事物只适用于特定类别的情况。

10. category-independent：形容词形式，意为“不依赖于类别的”，用于描述某个事物不受特定类别限制的情况。

以上单词都与categorise这个词密切相关，它们在不同的语境中有着不同的含义和用法。

常用短语：

1. categorise by

2. categorise into

3. categorise according to

4. categorise as

5. categorise for

6. categorise into different groups

7. categorise according to different criteria

双语例句：

1. We need to categorise the data by department and project. （我们需要根据部门和项目对数据进行分类。）

2. The report was categorised into three main categories: successes, challenges and recommendations. （该报告被分为三个主要类别：成功案例、挑战和建议。）

3. We need to categorise the students according to their academic performance. （我们需要根据学生的学术表现对他们进行分类。）

4. The data was categorised as either personal or confidential information. （数据被分类为个人或机密信息。）

5. The products were categorised into different groups based on their usage and purpose. （产品根据其用途和目的被分类到不同的组别。）

6. We need to categorise the different types of customers based on their needs and preferences. （我们需要根据客户的需求和偏好对不同类型的客户进行分类。）

7. The data was categorised according to the age and gender of the participants. （数据根据参与者的年龄和性别进行了分类。）

英文小作文：

Categorising is an essential skill for effective data analysis and decision-making. By categorising data, we can better understand patterns and trends, identify key insights, and make informed decisions based on the information we have available.

In my opinion, categorising should be done carefully and thoughtfully, considering the purpose of the data, the context in which it was collected, and the specific needs of the audience for whom the data is being prepared.

For example, if we are studying customer satisfaction with a product or service, we might categorise customers based on their level of satisfaction, their reasons for satisfaction or dissatisfaction, or their demographic characteristics to gain a more comprehensive understanding of the data.

In another scenario, if we are conducting market research on a new product, we might categorise respondents based on their age, gender, income, or other factors to identify potential market segments and target specific groups with our marketing efforts.

In conclusion, categorising is an essential skill that can help us gain a deeper understanding of data and make better decisions based on the information we have available. It requires careful consideration of the purpose, context, and audience for whom the data is being prepared.