In data science, what does the term “categorical encoding” refer to?

Removing missing values
Visualizing data
Converting categorical data into numerical form
Applying statistical tests

The correct answer is C. Converting categorical data into numerical form.

Categorical encoding is the process of converting categorical data into numerical form. This is done by assigning a unique number to each category. For example, if you have a column of data that contains the colors red, green, and blue, you could assign the numbers 1, 2, and 3 to each color. This would allow you to use statistical methods on the data, such as calculating the mean or standard deviation.

A. Removing missing values is the process of identifying and removing data points that have missing values. This is important because missing values can bias the results of statistical analyses.

B. Visualizing data is the process of creating a visual representation of data. This can be done using a variety of methods, such as bar graphs, line graphs, and pie charts. Visualizing data can help you to understand the data and identify patterns.

D. Applying statistical tests is the process of using statistical methods to analyze data. This can be done to test hypotheses, make predictions, or compare groups.