What visual should be used to display outliers? The line chart is best to display outliers.The scatter chart is best to display outliers.The clustered column chart is best to display outliers.

The best visual to display outliers is typically the box plot or scatter plot. These types of charts allow for individual data points to be plotted, making it easier to identify any values that fall significantly outside of the overall distribution of data.

Here's a step-by-step guide on how to use each:

1. Box Plot:

   • Step 1: Arrange your data in numerical order.
   • Step 2: Find the median of your data set.
   • Step 3: Find the first quartile (Q1), which is the median of the lower half of data.
   • Step 4: Find the third quartile (Q3), which is the median of the upper half of data.
   • Step 5: Find the interquartile range (IQR), which is Q3 minus Q1.
   • Step 6: Any data point that falls below Q1 - 1.5IQR or above Q3 + 1.5IQR is considered an outlier. Plot these on the box plot.

2. Scatter Plot:

   • Step 1: Determine the variables that will be plotted on the x and y axes.
   • Step 2: Plot each data point on the graph according to its values for the two variables.
   • Step 3: Look for any points that fall far from the main cluster of points. These are potential outliers.

While line charts and clustered column charts can be useful for showing trends and comparisons, they are not typically used for identifying outliers because they do not display individual data points.