How can graphics be misleading when the scales do not go all the way to zero? Why are such graphics sometimes useful?

How can the graphics sometimes be misleading?
A. The variation can seem to be larger than it really is.
B. The actual data values cannot be found on the graph.
C. The values do not line up with the axes in the normal way.
D. The variation can seem to be smaller than it really is.

Step 1 ：The question is asking about the potential misleading nature of graphics when the scales do not start from zero. This is a theoretical question and does not require a Python code to solve.

Step 2 ：When the scales on a graph do not start from zero, it can distort the perception of the data. This is because the difference between the data points can appear larger or smaller than they actually are. This can lead to misinterpretation of the data.

Step 3 ：For example, if we have a bar graph comparing the heights of two buildings, one 100 meters tall and the other 110 meters tall, if the y-axis starts from zero, the difference between the two buildings will appear small. However, if the y-axis starts from 90, the difference between the two buildings will appear much larger.

Step 4 ：So, the correct answer is A. The variation can seem to be larger than it really is.

Step 5 ：\(\boxed{\text{A. The variation can seem to be larger than it really is.}}\)