categorical variable的意思|示意
类别变量,类别变项;[数] 分类变数
categorical variable的用法详解
Categorical variables, also known as nominal variables, are variables that contain only descriptive values that cannot be logically ordered. Categorical variables also might have a limited number of values. They are mainly used when the data being collected has defined values and when the data is being used to classify information.
Categorical variables can take either a numerical or a non-numerical form. For example, a survey may ask the respondent to define their gender as either male or female. Here, gender is a categorical variable with two values (male or female). Alternatively, a survey may ask a respondent to rate how satisfied they are with a product on a scale of 1 to 5. Here, the satisfaction is a categorical variable using numerical values.
In many data analysis scenarios, categorical variables are often used to generate frequency distributions. A frequency distribution is a listing or a table of the number of times each value for a variable occurs. For example, a survey may ask the respondent to define their education level as either high school, college, or post graduate. Here, education level is a categorical variable. We can then create a frequency distribution table to show the number of respondents that have each level of education.
Categorical variables are also often used in regression analysis. This type of analysis allows us to examine the relationship between a dependent variable and one or more independent variables. In this example, we could look at how a dependent variable, such as income level, is affected by education level which is a categorical variable.
Categorical variables are a powerful tool for data analysis. They are frequently used in survey research, marketing research, public opinion polls, and regression analysis. They are also a key component in machine learning algorithms that involve natural language processing and classification tasks.
总结:
Categorical variable,又称为nominal variable,是指仅包含描述性的值,无法以逻辑顺序排列的变量,也可能有有限的值。它们主要用于收集有定义值的数据并用于分类信息。Categorical variable 可以采用数字或非数字形式,并可用于生成频率分布表,也可用于回归分析,是数据分析中功能强大的工具,在调查研究、市场调查、公众意见调查和回归分析中都有广泛应用,也是自然语言处理和分类任务中的关键部分。
categorical variable相关短语
1、 unordered categorical variable 无序分类变量
2、 ordinal categorical variable 有序分类变量
3、 ordered categorical variable 有序分类变量
4、 categorical variable data 分类变量资料
5、 multiple categorical variable 多分类变量
6、 Histogram for Categorical Variable 类型变量的直方图
7、 create a new categorical variable 创建一个新的分类变量
8、 Categorical random variable 类别的随机变量
9、 Categorical Pseudo Variable 虚拟特征变量
categorical variable相关例句
Conclusion It is preferable to analyse after transforming categorical variable into dummy variables.
结论将分类变量转化为哑变量分析是比较合理的方法.
互联网