Which of the following attributes can also support the continuous axis type in Power BI?

The continuous axis type in Power BI is designed to handle numerical data that can take on an infinite number of values, allowing for smooth scaling and interpolation between data points. In this context, temperature is an ideal candidate because it is a quantitative measure that can vary along a range. It represents a continuous variable that could include values like 20°C, 20.5°C, or 21°C, making it suitable for visualization on a continuous axis.

The other attributes listed, such as product category, employee names, and project name, typically represent categorical data. Categorical data consists of distinct, separate categories or groups with no meaningful numeric relationship between them. These types of attributes do not translate well to a continuous axis because they do not support interpolation or smooth transitions from one value to another. Instead, they would typically be used on a discrete axis, where each category is represented as a separate point. Thus, temperature is the only attribute among the options that aligns with the requirements for supporting a continuous axis in Power BI.