多数数值型数据不能用整数表示。
接下来我们看一下如何将数值型数据转化为图表。
从压缩的角度考虑，数据分为数值型数据与非数值型数据。
From the point of view of compression, data can be classified as non-numerical and numerical data.
提出一种关系数据库水印算法，适用于数值型数据的版权保护。
An algorithm for relational database watermarking is proposed in this paper, and it is applicable to protect the copyright of numeric data.
对于类似根因、类型、分类等非数值型数据的分析来说柏拉图是非常有用的工具。
A Pareto Chart is useful for non-numeric data, such as "cause", "type", or "classification".
如果两个源系统之间或源与目标之间存在不同级别的数据聚合，那么数值型数据尤其需要聚合。
When data between two source systems or the source and the target exist at different levels of aggregation, numeric data in particular may require aggregation.
字符串数据长度的变化或数值型数据精度和等级的变化也表明在数据的表示、验证和使用上存在潜在的问题。
Variations in length for string data or in precision and scale for numeric data also point to potential issues in data presentation, validation, and usage.
对数值型数据保持顺序加密方法进行了分析，在此基础上提出了一种在关系数据库中针对字符数据的保序加密方法。
In this paper the order preserving encryption for numeric data is analyzed. An order preserving encryption method for character data in relational databases is proposed.
该分析最常用于确保字段长度（对于数值型数据，则包括精度和等级）是一致的，但是也可以解决数据类型不匹配的问题。
Most commonly this looks to ensure that field lengths are consistent (or precision and scale for numerical data), but may also address issues in misaligned data types.
同时，设计出了FARM模糊动作关联规则算法，对企业关系价值真实数值型数据进行挖掘，并挖掘出提升企业关系价值的主要规则。
Meanwhile, FARM algorithm is designed to mine the real numerical data of enterprise relationship value. Then, the promotion rules of relationship value are put forward.
还包括有数值型、日期型和货币型数据。
但是最简单的数据库并不要求使用所有允许的类型，通常只需要保存数值型、字符型和日期(或时间)数据。
But most simple databases don't require the full range of allowed types, and often they need to store only numerical, character, and date or time data.
数据可以是不同类型的，例如数值型、字符型或日期型。
This data can be of different types, such as Numbers, characters, or dates.
炮兵指挥训练水平指标体系中，既有精确数值型表示的，又有语言值来描述的，给评估指标的数据处理带来了一定的困难。
The level index system of artillery command training has accurate number value type and language value which is difficulty for data processing of index.
数据密集型的科学与工程应用(如计算力学数值模拟、气象预测)需要在广域、分布式的计算环境中快速安全的传输海量的数据。
Data-intensive scientific and engineering applications often require the efficient transfer of terabytes or even petabytes of data in wide-area, distributed computing environments.
在归纳现有关联规则研究的基础上提出了事务间数值型关联规则的数据挖掘问题，并对该问题进行了定义。
Based on the summarization of data mining research, the problem of mining inter-transactional quantitative association rules are brought forward and defined in this paper.
在大部份的数值数据文件中，问项的答案较常被记录成数字而非文字，甚至数值型的回答也被记录成数字而非原始的答案。
In most numeric data files, answers to questions are recorded with Numbers rather than text and often even numeric answers are recorded with Numbers other than the actual response.
本文主要的研究内容如下：第一，基于数值型属性的关系数据库水印技术的研究。
In this paper, the study reads as follows: First, based on the numeric attributes of a relational database watermarking technology research.
本文主要的研究内容如下：第一，基于数值型属性的关系数据库水印技术的研究。
In this paper, the study reads as follows: First, based on the numeric attributes of a relational database watermarking technology research.
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