tabulate statistics

简明释义

把统计数字制成表

英英释义

例句

1.The research team will tabulate statistics 整理统计数据 from the latest survey to analyze trends.

研究团队将会整理统计数据以分析最新调查的趋势。

2.Before publishing the results, we must tabulate statistics 整理统计数据 from all participants.

在发布结果之前，我们必须整理统计数据来自所有参与者。

3.In order to present the findings clearly, we need to tabulate statistics 整理统计数据 from our experiments.

为了清晰地呈现结果，我们需要整理统计数据来自我们的实验。

4.The accountant was asked to tabulate statistics 整理统计数据 for the quarterly financial report.

会计被要求为季度财务报告整理统计数据。

5.Our goal is to tabulate statistics 整理统计数据 on customer satisfaction to improve service quality.

我们的目标是整理统计数据关于客户满意度，以提高服务质量。

作文

In today's data-driven world, the ability to analyze and interpret information is crucial for making informed decisions. One of the key methods used in data analysis is to tabulate statistics, which means to organize data into a table format for easier comprehension and comparison. This process not only helps in visualizing the data but also aids in identifying trends and patterns that may not be immediately apparent when looking at raw data. For instance, businesses often tabulate statistics related to sales figures, customer demographics, and market trends to gain insights into their performance and strategize accordingly.When we tabulate statistics, we typically start by collecting relevant data from various sources. This could include surveys, experiments, or existing databases. Once the data is gathered, the next step is to categorize it into meaningful groups. For example, if a company wants to analyze customer satisfaction, they might categorize responses based on age groups, purchase history, or geographic location. This categorization allows for a more detailed analysis and can highlight specific areas where improvements are needed.After categorizing the data, we proceed to create the table. A well-structured table will have clearly labeled rows and columns, making it easy for readers to understand what each piece of data represents. For instance, in a table showing sales data, the columns might represent different products, while the rows could indicate sales figures over various months. By tabulating statistics in this manner, stakeholders can quickly assess which products are performing well and which are not.Moreover, tabulating statistics enables effective communication of findings. In a business meeting, presenting data in a table format can make it easier for team members to grasp complex information quickly. Visual aids such as graphs and charts can also be derived from these tables, further enhancing understanding. For example, a line graph representing monthly sales trends can be created from a table of sales data, providing a visual representation of performance over time.In addition to business applications, the ability to tabulate statistics is also valuable in academic research. Researchers often collect vast amounts of data that need to be analyzed and interpreted. By organizing this data into tables, they can present their findings in a clear and concise manner, making it easier for readers to follow their arguments and conclusions. This practice is essential for maintaining transparency and credibility in research, as it allows others to verify results and replicate studies if necessary.Furthermore, in public policy and government, tabulating statistics plays a significant role in decision-making processes. Policymakers rely on statistical data to understand social issues, economic conditions, and public health trends. By analyzing and tabulating statistics, they can identify areas that require intervention and allocate resources effectively. For instance, a government might tabulate statistics on unemployment rates across different regions to determine where job creation initiatives are most needed.In conclusion, the ability to tabulate statistics is an essential skill in today's information-rich environment. Whether in business, research, or public policy, organizing data into tables facilitates better understanding, communication, and decision-making. As we continue to generate and collect data at an unprecedented rate, mastering the art of tabulating statistics will only become more important for individuals and organizations alike. By honing this skill, we can unlock the potential of data to drive progress and innovation across various fields.

在当今以数据驱动的世界中，分析和解释信息的能力对于做出明智的决策至关重要。数据分析中使用的关键方法之一是制表统计，即将数据组织成表格格式，以便更容易理解和比较。这个过程不仅有助于可视化数据，还可以帮助识别趋势和模式，这些在查看原始数据时可能并不明显。例如，企业经常制表统计与销售数字、客户人口统计和市场趋势相关的数据，以深入了解其业绩并相应地制定战略。当我们制表统计时，通常首先从各种来源收集相关数据。这可能包括调查、实验或现有数据库。一旦数据收集完成，下一步是将其分类为有意义的组。例如，如果一家公司想分析客户满意度，他们可能会根据年龄组、购买历史或地理位置对响应进行分类。这种分类允许进行更详细的分析，并可以突出需要改进的特定领域。在对数据进行分类后，我们接下来创建表格。结构良好的表格将具有清晰标记的行和列，使读者能够轻松理解每个数据项所代表的内容。例如，在显示销售数据的表格中，列可能表示不同的产品，而行则可以表示各个月的销售数字。通过这种方式制表统计，利益相关者可以快速评估哪些产品表现良好，哪些则不然。此外，制表统计使有效的沟通结果成为可能。在商务会议上，以表格格式呈现数据可以使团队成员更快地掌握复杂的信息。图表和图形等视觉辅助工具也可以从这些表格中派生出来，进一步增强理解。例如，可以从销售数据表中创建一个表示每月销售趋势的折线图，从而提供对性能随时间变化的可视化表示。除了商业应用外，制表统计的能力在学术研究中也很有价值。研究人员通常会收集大量需要分析和解释的数据。通过将这些数据组织成表格，他们可以以清晰简洁的方式呈现其发现，使读者更容易跟随他们的论点和结论。这种做法对于保持研究的透明度和可信度至关重要，因为它允许他人验证结果并在必要时复制研究。此外，在公共政策和政府中，制表统计在决策过程中也发挥着重要作用。政策制定者依赖统计数据来了解社会问题、经济状况和公共健康趋势。通过分析和制表统计，他们可以确定需要干预的领域，并有效分配资源。例如，政府可能会制表统计不同地区的失业率，以确定最需要就业创造计划的地方。总之，在当今信息丰富的环境中，制表统计的能力是一项基本技能。无论是在商业、研究还是公共政策中，将数据组织成表格都有助于更好地理解、沟通和决策。随着我们继续以前所未有的速度生成和收集数据，掌握制表统计的艺术对于个人和组织而言只会变得更加重要。通过磨练这项技能，我们可以解锁数据的潜力，以推动各个领域的进步和创新。