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Summarise Data in R – How to know datatypes in R

In R, it is important to know the data types of variables in a dataset, as different data types require different types of analysis and processing. The most common data types in R are numeric, character, and factor.

To check the data types of variables in a dataset, you can use the str() function in R. This function takes a data frame or a vector as an argument and returns the structure of the dataset, including the names of the variables and their data types.

For example, if you have a dataset called “data”, you can check the data types of the variables in the dataset by using the command str(data)

You can also use the class() function in R to check the data type of a specific variable. This function takes a variable as an argument and returns its data type. For example, if you have a variable called “var1” in your dataset, you can check its data type by using the command class(var1)

In summary, In R, it is important to know the data types of variables in a dataset, as different data types require different types of analysis and processing. The most common data types in R are numeric, character, and factor. To check the data types of variables in a dataset, you can use the str() function, which takes a data frame or a vector as an argument and returns the structure of the dataset, including the names of the variables and their data types. You can also use the class() function to check the data type of a specific variable, it takes a variable as an argument and returns its data type.

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: How to know datatypes in R.

Summarise Data in R – How to know datatypes in R

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