Encoding Methods in R

Encoding Categorical Data in R

The categorical variables are very often found in data while conducting data analysis and ML(machine learning). The Data which can be classified into categories or groups, such as colors or job titles is generally called as categorical data. The categorical variables must be encoded into numerical values in order to be used in statistical analysis or ML models....

What is Categorical Data?

The data that can be categorized or grouped together is known as categorical data. The Colors and job titles are a few examples of categorical variables that can have one of a small, finite number of values or levels. The Survey data, demographic data, and marketing data frequently use the categorical data....

Encoding Methods in R

The Categorical data can be encoded in R using a variety of techniques. We’ll go over three of the most popular approaches: label encoding, frequency encoding, and onehot encoding....

One-Hot Encoding

The One-Hot A method of encoding category information into a binary matrix is called encoding. A column in the matrix is given to each distinct value in the categorical variable. The corresponding column will be given a value of 1, and all other columns will be given a value of 0, if the value is present in that particular row....

Label Encoding

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Frequency Encoding

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Choosing an Encoding Method

The Label encoding method is for encoding categorical variables that assigns the number value to each distinct value. For the instance, the numerical values 1, 2, and 3 might be assigned to a categorical variable with the three unique values of “red,” “green,” and “blue,” respectively....

Difference between all of them

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Conclusion

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