How do you describe the distribution of the data in stem and leaf plot?

In a stem-and-leaf plot, the distribution of the data can be described by examining the stems (the leading digits) and the leaves (the trailing digits) to identify patterns such as central tendency, spread, and any potential outliers. The shape of the distribution can be inferred from the arrangement of the leaves, indicating whether the data is skewed, symmetric, or has multiple peaks. Additionally, the density of leaves on the stems can help visualize the concentration of data points in certain ranges. Overall, a stem-and-leaf plot provides a clear and concise representation of the data's distribution while retaining the original values.