The correct answer is: B. To transform raw data.
Data wrangling is the process of cleaning and transforming raw data into a format that can be used for analysis. This can involve a variety of tasks, such as removing duplicate data, correcting errors, and filling in missing values. The goal of data wrangling is to make the data more accurate and consistent, so that it can be used to generate meaningful insights.
A. To create complex models is not the purpose of data wrangling. Data wrangling is a preliminary step that is necessary before complex models can be created. However, it is not the goal of data wrangling itself to create complex models.
C. To visualize data is not the purpose of data wrangling. Data wrangling is a preliminary step that is necessary before data can be visualized. However, it is not the goal of data wrangling itself to visualize data.
D. To remove outliers is not the purpose of data wrangling. Data wrangling can involve removing outliers, but this is not the only purpose of data wrangling. Data wrangling can also involve a variety of other tasks, such as cleaning and transforming data.