disaggregate 单词乎

disaggregate 单词乎
英文版
Disaggregate is a term used in data analysis to refer to the process of breaking down data into smaller, more specific components. This can be done in various ways, such as by breaking down data by time, location, or category. By disaggregating data, analysts can gain a more detailed understanding of trends and patterns that may not be apparent when looking at the data as a whole.
One common example of disaggregating data is in sales analysis. Instead of just looking at total sales for a particular period, a company may choose to disaggregate the data by product, region, or customer segment. This can help identify which products are performing well, which regions are driving sales growth, and which customer segments are most profitable.
Disaggregating data can also be useful in other areas, such as education, healthcare, and government policy. By breaking down data into smaller components, decision-makers can make more informed choices and tailor their strategies to better meet the needs of specific groups or populations.
In conclusion, disaggregating data is a valuable tool in data analysis that can provide deeper insights and drive more effective decision-making. By breaking down data into smaller components, analysts can uncover hidden trends and patterns that may not be visible when looking at the data as a whole.
中文翻译：
分解是数据分析中使用的一个术语，指的是将数据拆分成更小、更具体的组成部分的过程。

这可以通过各种方式实现，比如按时间、地点或类别来分解数据。

通过分解数据，分析师可以更详细地了解趋势和模式，这些在查看整体数据时可能并不明显。

数据分解的一个常见例子是销售分析。

一家公司可能会选择按产品、地区或客户细分数据，而不仅仅是查看某一时期的总销售额。

这有助于确定哪些产品表现良好，哪些地区推动了销售增长，哪些客户细分最有利可图。

数据分解在教育、医疗保健和政府政策等其他领域也很有用。

通过将数据分解成更小的组成部分，决策者可以做出更明智的选择，并调整策略以更好地满足特定群体或人群的需求。

总之，数据分解是数据分析中的一个有价值的工具，可以提供更深入的见解，并推动更有效的决策。

通过将数据分解成更小的组成部分，分析师可以发现隐藏的趋势和模式，这些在查看整体数据时可能并不明显。