【中文版】

环比和同比是两种常用的数据分析方法，它们主要用于比较不同时间段的同类经济指标，以反映经济活动的变化趋势。

环比是指将本期的数据与上一期的数据相比较，以反映经济活动的连续变化情况。例如，如果某公司本月的销售额为100万元，而上月的销售额为80万元，那么该公司的销售额环比增长率就为(100-80)/80=25%。

同比则是指将本期的数据与去年同期相比较，以反映经济活动的年度变化情况。例如，如果某公司本月的销售额为100万元，而去年同期的销售额为80万元，那么该公司的销售额同比增长率就为(100-80)/80=25%。

通过环比和同比的分析，可以及时掌握经济活动的变化趋势，为决策提供参考。例如，如果一个行业的销售额同比增长迅速，那么说明该行业的市场前景较好，未来可能会有更多的投资机会。

需要注意的是，环比和同比分析方法也有其局限性，例如会受到季节性因素和数据波动的影响。因此，在进行数据分析时，还需要结合其他指标和方法，以更全面地了解经济活动的实际情况。

总之，环比和同比是两种常用的数据分析方法，它们可以帮助我们及时掌握经济活动的变化趋势，为决策提供参考。

【英文版】

What are the meaning of year-on-year growth and month-on-month growth?

Year-on-year growth and month-on-month growth are two commonly used data analysis methods, mainly used to compare similar economic indicators at different time periods to reflect the trend of economic activity changes.

Month-on-month growth refers to comparing the current period's data with the previous period's data to reflect the continuous change of economic activities. For example, if a company's sales in the current month are 1 million yuan, and the sales in the previous month are 800,000 yuan, then the company's sales growth rate month-on-month is (1 million - 800,000)/800,000=25%.

Year-on-year growth refers to comparing the current period's data with the same period of last year to reflect the annual change of economic activities. For example, if a company's sales in the current month are 1 million yuan, and the sales in the same month of last year are 800,000 yuan, then the company's sales growth rate year-on-year is (1 million - 800,000)/800,000=25%.

Through the analysis of month-on-month growth and year-on-year growth, we can grasp the change trend of economic activities in a timely manner and provide reference for decision making. For example, if the sales of an industry grow rapidly year-on-year, it means that the market prospects of this industry are good, and there may be more investment opportunities in the future.

It should be noted that there are also limitations in the analysis methods of month-on-month growth and year-on-year growth, such as being affected by seasonal factors and data fluctuations. Therefore, when conducting data analysis, it is also necessary to combine other indicators and methods to comprehensively understand the actual situation of economic activities.

In summary, month-on-month growth and year-on-year growth are two commonly used data analysis methods, which can help us grasp the change trend of economic activities in a timely manner and provide reference for decision making.