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数据是通过观察、实验或计算等得出的结果,或来自于生活常识。数据的表现形式有多种,最简单的就是数字,也可以是文字、图像等。小小数据,关系重大。图书中的数据若差之毫厘,或致结果谬以千里,或令读者啼笑皆非。笔者通过近几年的书稿审读与质检工作发现,数据差错已成为图书中重要的错误类型,数据差错率有日渐上升趋势。本文列举了工作实践中的30个数据差错实例,对图书中常见的非专业性数据差错进行归类、辨析,希望能引起出版同人的重视,并期待与同行交流探讨。
Data is the result of observation, experiment or calculation, or from the common sense of life. There are many forms of data representation, the most simple is the number, it can be text, images and so on. Small data, a significant relationship. If the data in the book is the worst, or the result is absurd, or make the reader ridiculous. The author through the manuscript review and quality inspection in recent years found that data errors have become an important type of error in the book, the data error rate is on the rise. This article lists 30 examples of data errors in work practice. It classifies and discriminates the common non-professional data errors in books, hoping to arouse the attention of people who are in the process of publishing and looking forward to discussing with peers.