# data[].attributes.body
- The data is clearly labeled and shown.
- The time intervals are even.
- The data and numbers are all evenly proportioned.

# data[].attributes.body
1.) It doesn't indicate the number of people who participated in the study.
2.) It doesn't indicate what the vertical axis is measuring.
3.) It doesn't indicate where this information came from.

# data[].attributes.body
- It doesn't have a labeled y axis.
- The numbers are close yet totally disproportioned on the graph.
- The graph is over all misleading.

# data[].attributes.body
1. The height of the bars, misrepresent the data; 13% is the lowest percentage, yet it has the highest bar.
2. The graph doesn't have a y-axis title.
3. The graph does not have units on the y-axis to display increasing units. This allowed the creator to misrepresent the data.

# data[].attributes.body
1. It contains a graph title and caption that relates to information.
2. It has axis titles and is color coded.
3.The bars' heights correspond to the numbers on the y-axis appropriately.

# data[].attributes.body
1.) The graph has a title that tells what it is about.
2.) The vertical axis is separated in equal increments and on the bar it has the actual number of weekly wages represented on it.
3.) The graph tells where this information is coming from.

# data[].attributes.body
-The pie chart is even, but the percentages do not match.
-The pie chart adds up to more than 100%.
-The pie chart is not exhaustive, and does not include all potential candidates.

# data[].attributes.body
-The pie chart is accurately proportioned.
-The pie chart percentages add up to 100%.
- The pie chart is exhaustive because all candidates are included by using "other", not just the big three.