# data[].attributes.body
1. The size of the portion represents the percentage

2. Everything is clearly labeled

3. It is easy to read and understand at a glance

# data[].attributes.body
1. The size of the portion doesn't represent the portion

2. The total does not add up to 100%

3. The percentages are most likely wrong, as it adds up to a total of 216%

# data[].attributes.body
1. The graph does not start at 0 and leads to data being seen as lower than it is.

2. The scale is off and makes the price changes seem more drastic than they are.

3. The graph is not labeled well and does not say that it is measuring gas’s prices or even say what year.

# data[].attributes.body
1. All of the vertical scales are consistent.

2. Easy to read which one is the biggest and smallest.

3. The titles are accurate to what the data is presenting.

# data[].attributes.body
1. The scale is consistent throughout the graph

2. Not only is it label well the legend is easy to read and to apply.

3. All data points are labeled so that the exact amount is known.

# data[].attributes.body
1. The graph is missing labels.

2. Vertical scale is inconstant.

3. The graph is missing context, making it hard to know what the graph is representing.