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A histogram is a data representation that looks like a bar graph that buckets a variety of outcomes into columns along the $x-$axis.

The advantage of a stem leaf diagram:

• Data presented in a clear and concise manner
• Range, minimum and maximum values, gaps and clusters, and outliers are all plainly visible.

The advantages of frequency hostogram:

• Visually appealing
• The vertical axis is usually a tally of how many items fall into each category.
• In big data sets, histograms are frequently preferred over stem and leaf diagrams.

The disadvantages of stem leaf diagram

• It doesn't look good.
• For huge data sets, it is difficult to determine measurements of centrality.
• Not useful with large data sets and awkward with data containing many digits.

The disadvantages of frequency diagram

• Because the data is organised into groups, it is impossible to read exact values.
• Comparing two data sets is more challenging.
• Only use this method with continuous data.