Which two data types can be used to display a continuous axis in a visual?

The correct options for displaying a continuous axis in a visual are date and decimal number data types.

When using a date data type, Power BI can plot points along a timeline, allowing for effective analysis of trends over time. Dates are inherently continuous, as they progress linearly and can be used to represent intervals such as days, months, or years. This enables users to see patterns and fluctuations in data across different time frames, making it a powerful tool for temporal analysis.

Decimal numbers represent continuous numeric data that can be plotted on a scale without discrete jumps. This allows a visual to convey a range of values, giving insights into variations and distributions. Continuous numerical data enables more dynamic visualizations, such as scatter plots or line graphs, where precise values matter and trends can be easily interpreted.

Binary and text data types do not lend themselves well to continuous axes. Binary data consists of two discrete values (typically 0 and 1), making it categorical rather than continuous. Text data is also categorical, representing distinct labels or categories without inherently measurable intervals, hindering the ability to depict such information on a continuous axis effectively.