Your data set shows survey results of your website visitors. What information can you quickly view by using column profile?

The choice regarding the value distribution of visitors by age is the most relevant for using a column profile. A column profile is a powerful data analysis tool that provides a summary of the characteristics of a specific variable or column in a dataset. When applied to a survey result data set, it helps in visualizing and understanding how values are distributed within that column.

For instance, in the case of age, a column profile would display various statistics such as the frequency of different age groups, mean age, and possibly even the presence of any outliers. This visualization can contain histograms or bar charts showing the distribution, making it easier to identify trends and patterns regarding the age demographics of website visitors.

While the other answer choices provide useful information, they are not features typically obtained directly from a column profile. The total number of visitors is a basic statistic that can usually be derived from a different type of summary or metric. Average time spent on site often requires calculations across multiple rows, not just an examination of a single column. Geographic locations could be summarized, but again, a profile focuses on singular or categorical data distributions rather than aggregating data across multiple dimensions. Hence, option A is the most suitable regarding what a column profile can provide.