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

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

• A. Employee names
• B. Employee hire date
• C. Product category
• D. Product weight

Answer: (D)

Product weight is the attribute that effectively supports a continuous axis type in Power BI. Continuous axis types are used to represent data that can take on any value within a range and are typically associated with quantitative measures. In the case of product weight, this attribute represents a numerical value that falls within a range and allows for fine-grained analysis, such as calculating averages, totals, and trends. This is ideal for creating visualizations like line charts or scatter plots where you want to show progression or relationships in the data. The other attributes listed do not support a continuous axis in the same way. Employee names are categorical and are typically used for identifying individual records rather than representing a range of values. Employee hire date could be seen as time-based and thus might be used in a continuous context, but it is usually treated as a discrete category rather than a continuous measure. Product category is distinctly categorical, used for grouping items rather than representing values on a continuous scale. In summary, product weight is the only attribute among the options provided that naturally aligns with the characteristics of a continuous axis, allowing for meaningful numeric analysis and visualization in Power BI.

Product weight is the attribute that effectively supports a continuous axis type in Power BI. Continuous axis types are used to represent data that can take on any value within a range and are typically associated with quantitative measures.

In the case of product weight, this attribute represents a numerical value that falls within a range and allows for fine-grained analysis, such as calculating averages, totals, and trends. This is ideal for creating visualizations like line charts or scatter plots where you want to show progression or relationships in the data.

The other attributes listed do not support a continuous axis in the same way. Employee names are categorical and are typically used for identifying individual records rather than representing a range of values. Employee hire date could be seen as time-based and thus might be used in a continuous context, but it is usually treated as a discrete category rather than a continuous measure. Product category is distinctly categorical, used for grouping items rather than representing values on a continuous scale.

In summary, product weight is the only attribute among the options provided that naturally aligns with the characteristics of a continuous axis, allowing for meaningful numeric analysis and visualization in Power BI.