provisional figures

简明释义

暂定数字

英英释义

例句

1.The provisional figures for last quarter's sales were better than expected, boosting investor confidence.

上个季度销售的临时数据好于预期，增强了投资者信心。

2.The provisional figures released by the government indicate a rise in unemployment rates.

政府发布的临时数据显示失业率上升。

3.Analysts cautioned that the provisional figures for GDP growth might be revised later.

分析师警告称，GDP增长的临时数据可能会在之后修订。

4.The company reported its financial performance using provisional figures, which are subject to change after the audit.

公司使用临时数据报告其财务表现，这些数据在审计后可能会有所更改。

5.According to the provisional figures, the population of the city has increased significantly over the past year.

根据临时数据，该市的人口在过去一年中显著增加。

作文

In the world of data analysis and reporting, the term provisional figures refers to initial estimates or calculations that are subject to change as more accurate information becomes available. This concept is particularly important in various fields such as economics, finance, and public health, where timely data is crucial for decision-making but may not always be fully verified. For instance, when a government releases economic data, it often provides provisional figures to give stakeholders a glimpse of the current situation while indicating that these numbers could be revised later. The use of provisional figures allows organizations and governments to make informed decisions based on the best available data at the time. However, it also comes with risks. Decisions made on the basis of provisional figures might lead to unintended consequences if the final, verified data significantly differs from the provisional estimates. Therefore, it is essential for analysts and policymakers to communicate clearly about the nature of these figures and the potential for change. For example, during the COVID-19 pandemic, many countries reported infection and vaccination rates using provisional figures. These numbers were crucial for assessing the public health response and implementing necessary measures. Yet, as more comprehensive data became available, adjustments were made to these figures, which sometimes led to confusion among the public. This highlights the importance of transparency in reporting provisional figures, ensuring that the audience understands the context and limitations of the data presented. Moreover, the process of revising provisional figures can also serve as a learning opportunity for organizations. By analyzing why certain estimates were inaccurate, they can improve their data collection methods and analytical processes. This iterative approach can enhance the reliability of future reports and foster greater trust among stakeholders. In conclusion, while provisional figures play a vital role in providing timely insights, it is crucial to approach them with caution. Stakeholders must recognize the inherent uncertainty associated with these figures and remain adaptable as new information emerges. As we continue to navigate an increasingly data-driven world, understanding the implications of provisional figures will be essential for effective decision-making and communication. Only by acknowledging the provisional nature of these figures can we strive for accuracy and clarity in our analyses and reports.

在数据分析和报告的世界中，术语provisional figures指的是初步估计或计算，这些数据可能会随着更准确的信息的出现而发生变化。这个概念在经济学、金融和公共卫生等多个领域尤为重要，因为及时的数据对于决策至关重要，但这些数据并不总是经过充分验证的。例如，当一个政府发布经济数据时，通常会提供provisional figures以便让利益相关者了解当前的情况，同时表明这些数字可能会在之后被修正。使用provisional figures允许组织和政府根据当时可用的最佳数据做出明智的决策。然而，这也带来了风险。基于provisional figures做出的决策如果最终的、经过验证的数据与初步估计有显著不同，可能会导致意想不到的后果。因此，分析师和政策制定者必须清晰地沟通这些数字的性质以及可能的变化。例如，在新冠疫情期间，许多国家使用provisional figures报告感染和疫苗接种率。这些数字对于评估公共卫生反应和实施必要措施至关重要。然而，随着更全面的数据的出现，这些数字进行了调整，有时导致公众的困惑。这突显了在报告provisional figures时透明度的重要性，确保受众理解所呈现数据的背景和局限性。此外，修订provisional figures的过程也可以为组织提供学习机会。通过分析某些估计为何不准确，他们可以改善数据收集方法和分析过程。这种迭代的方法可以提高未来报告的可靠性，并在利益相关者之间培养更大的信任。总之，虽然provisional figures在提供及时见解方面发挥着重要作用，但谨慎对待它们至关重要。利益相关者必须认识到这些数字固有的不确定性，并在新信息出现时保持适应性。随着我们继续在一个日益数据驱动的世界中航行，理解provisional figures的含义将对有效的决策和沟通至关重要。只有承认这些数字的临时性质，我们才能在分析和报告中追求准确性和清晰性。