bucketing

简明释义

英[ˈbʌkɪtɪŋ]美[ˈbʌkɪtɪŋ]

v. （非正式）下大雨；（车辆）快速颠簸行驶；用桶装（bucket 的现在分词）

英英释义

单词用法

同义词

反义词

例句

1.The girl was bucketing water from the well.

那姑娘在用桶从井里打水。

2.Bucketing over the unpaved lane.

在这条巷子右转。

3.It's bucketing down.

大雨倾盆。

4.Wash trading, bucketing, cross trading, or other schemes which give the appearance of trading. Actually, no bona fide, competitive trade has occurred.

用虚假、私下交易或内部对冲等伎俩做出交易的表面过程，但实际上并没有真实的、有竞争性的交易发生。

5.We got soaked - we were nearly home when it suddenly started bucketing down.

我们被淋湿了——我们快到家的时候突然下起了瓢泼大雨。

6.The car was bucketing down the steep road.

汽车正在陡峭的路上颠簸着前进。

7.Wash trading, bucketing, cross trading, or other schemes which give the appearance of trading. Actually, no bona fide, competitive trade has occurred.

用虚假、私下交易或内部对冲等伎俩做出交易的表面过程，但实际上并没有真实的、有竞争性的交易发生。

8.In project management, bucketing tasks helps prioritize work effectively.

在项目管理中，任务分组有助于有效优先处理工作。

9.The software uses bucketing algorithms to categorize similar items together.

该软件使用分组算法将相似物品归类在一起。

10.During the storm, we experienced bucketing rain that made it difficult to see the road.

在暴风雨期间，我们经历了倾盆大雨，使得很难看清道路。

11.We were caught in a bucketing downpour during our hike, soaking us completely.

在我们的远足过程中，遇到了倾盆大雨，把我们完全淋湿了。

12.The data analysis involved bucketing customers into different age groups for targeted marketing.

数据分析涉及将客户进行分组以便于针对性营销。

作文

In the world of data analysis and management, the term bucketing refers to the process of grouping data into categories or 'buckets' for easier analysis and interpretation. This method is widely used in various fields, including marketing, finance, and research, to simplify complex datasets and draw meaningful insights. For instance, when analyzing customer behavior, businesses often use bucketing to categorize customers based on their purchasing habits, demographics, or engagement levels. By segmenting customers into different buckets, companies can tailor their marketing strategies to meet the specific needs of each group, ultimately enhancing customer satisfaction and loyalty.Moreover, bucketing can also be applied in statistical analysis where researchers categorize data points to identify trends and patterns. For example, a researcher studying the effects of a new medication might use bucketing to divide participants into groups based on age, gender, or health status. This categorization allows for a clearer comparison of results across different segments, making it easier to evaluate the medication's effectiveness.In addition to its applications in data analysis, bucketing plays a significant role in project management. Teams often use bucketing to prioritize tasks by grouping them into categories based on urgency or importance. This approach helps teams focus on high-priority tasks first, ensuring that critical deadlines are met. For instance, a software development team may categorize their tasks into buckets such as 'urgent', 'important', and 'low priority'. By visualizing their workload in this manner, team members can allocate their time and resources more effectively.Furthermore, in the realm of personal finance, individuals can apply bucketing strategies to manage their savings and investments. By dividing their financial goals into different buckets, such as short-term savings, long-term investments, and emergency funds, people can create a structured plan to achieve their financial objectives. This method not only helps in tracking progress but also reduces the anxiety associated with managing finances. For example, someone saving for a vacation may create a separate bucket for travel expenses, allowing them to see how much they need to save each month to reach their goal.In conclusion, the concept of bucketing is a powerful tool in various domains, aiding in the organization and analysis of data, task management, and personal finance. By categorizing information into manageable buckets, individuals and organizations can streamline their processes, make informed decisions, and ultimately achieve their objectives more efficiently. As we continue to navigate an increasingly complex world, the ability to effectively utilize bucketing will remain a valuable skill for anyone seeking to enhance their analytical capabilities and improve their productivity.

在数据分析和管理的世界中，术语bucketing指的是将数据分组为类别或“桶”的过程，以便于分析和解释。这种方法广泛应用于市场营销、金融和研究等各个领域，以简化复杂的数据集并提取有意义的见解。例如，在分析客户行为时，企业通常使用bucketing来根据客户的购买习惯、人口统计或参与水平对客户进行分类。通过将客户划分为不同的桶，公司可以量身定制其营销策略，以满足每个群体的特定需求，从而最终提高客户满意度和忠诚度。此外，bucketing也可以应用于统计分析，研究人员通过对数据点进行分类来识别趋势和模式。例如，一位研究新药效果的研究人员可能会使用bucketing将参与者分为基于年龄、性别或健康状况的组别。这种分类使得在不同的细分市场之间进行结果比较变得更加清晰，从而更容易评估药物的有效性。除了在数据分析中的应用外，bucketing在项目管理中也发挥着重要作用。团队通常使用bucketing根据紧急性或重要性对任务进行优先级排序。这种方法帮助团队首先关注高优先级任务，确保关键截止日期的达成。例如，一个软件开发团队可能会将他们的任务分类为“紧急”、“重要”和“低优先级”的桶。通过这种方式可视化工作负载，团队成员可以更有效地分配时间和资源。此外，在个人理财领域，个人可以应用bucketing策略来管理储蓄和投资。通过将他们的财务目标分为不同的桶，例如短期储蓄、长期投资和应急基金，人们可以制定一个结构化的计划来实现他们的财务目标。这种方法不仅有助于跟踪进展，还减少了管理财务相关的焦虑。例如，某人为了度假而储蓄，可能会为旅行费用创建一个单独的桶，使他们能够看到每个月需要储蓄多少才能达到目标。总之，bucketing的概念在各个领域都是一种强大的工具，有助于组织和分析数据、任务管理和个人理财。通过将信息分类为可管理的桶，个人和组织可以简化流程、做出明智的决策，并最终更高效地实现目标。在我们继续迎接日益复杂的世界时，有效利用bucketing的能力将始终是任何希望增强其分析能力和提高生产力的人的一项宝贵技能。