It's very simple, actually. A normalized histogram is one in which the sum of the frequencies is exactly 1. Therefore, if you express each frequency as a percentage of the total, you get a normalized histogram.
What is the use of a normalized histogram? Well, if you studied probability and/or statistics, you might know that one property required for a function to be a probability distribution for a random variable is that the total area under the curve is 1. That's for continuous-variable functions. For discrete functions, the requirements is that the sum of all values of the function is 1. So a normalized histogram can be thought of a probability distribution function which shows how probable each of the values of your random variable is.
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实际上，这很简单。归一化直方图是频率总和恰好为 1 的直方图。因此，如果将每个频率表示为总数的百分比，则会得到归一化直方图。
标准化直方图有什么用？好吧，如果您研究过概率和/或统计学，您可能知道函数作为随机变量的概率分布所需的一个属性是曲线下的总面积为 1。这适用于连续变量函数。对于离散函数，要求函数所有值的总和为 1。因此，归一化直方图可以被认为是概率分布函数，它显示随机变量的每个值的概率有多大。
It's very simple, actually. A normalized histogram is one in which the sum of the frequencies is exactly 1. Therefore, if you express each frequency as a percentage of the total, you get a normalized histogram.
What is the use of a normalized histogram? Well, if you studied probability and/or statistics, you might know that one property required for a function to be a probability distribution for a random variable is that the total area under the curve is 1. That's for continuous-variable functions. For discrete functions, the requirements is that the sum of all values of the function is 1. So a normalized histogram can be thought of a probability distribution function which shows how probable each of the values of your random variable is.