# data[].attributes.body
1. The graph has even intervals on each of its axes, but the y axis is intentionally given small intervals (.5%) to make the data appear as if there has been an meaningful increase in unemployment.
2. Though unemployment stays around nine percent throughout all of 2011, the graph makes it appear as if there has been intense fluctuation.
3. The November data point reads 8.6, but it is placed at the same height as the value of 9.0% in October. This prevents the graph from showing a rather important dip in the trend, especially because that should be the lowest point.

# data[].attributes.body
1. The graph has a title and a subtitle, making it clear to the audience about what data the graph is going to present

2. The graph has clear x and y axes, the y being average percentage of posts expressing political opposition, and x being the years passed.

3. The intervals on each axis are equal, thus preventing any intentional skew. The y increases by ten percent and the x increases by one year.

4. The colors clearly demonstrate the two categories of data being studied (red for republican and blue for democrat), and each of the lines in the graph also have a label.

5. The two lines indicating the period of election and Inauguration of Donald Trump show the correlation between the jump in publicized political opposition. This gives valid reason to the sudden spike.

# data[].attributes.body
1. The graph is extremely hard to follow since all the lines are overlapping and the same size. So, it looks really messy and visually unappealing.
2. There is not enough contrast with the representations of the songs in the key because the lines are all close in size and similar in color. So, viewers are not able to understand what the graph is attempting to display.
3.The graph looks like it is upside down because the lines are starting as the top of the graph rather than emerging from the bottom. This does not make sense since the graph is attempting to reveal which songs are doing the best on the Billboard 100.

# data[].attributes.body
1. It does not have a title, so it is not known what it is about.
2. There are not lines across the whole vertical axis, so it is difficult to see the exact values of the bars.
3. The graph does not start at 0, so the bars seem disproportionately sized. For example, the Toyota bar seems to be less than half of the size of the Chevy bar, when it is actually only approximately 2% less.

# data[].attributes.body
1) Vertical axis begins at 690, rather than 0. The numbers on the vertical axis are confusing. (What do the numbers mean???)
2) There is no title for the graph, and it is unclear what the graph is measuring.
3) The legend doesn't make sense, and is unnecessary.

# data[].attributes.body
1. It has a clear title that states what the graph is showing.
2. There is a key with color coded genres, so it is easy to read.
3. There are percentage labels on the graph itself, so you can see exactly what percentage each section is.

# data[].attributes.body
1. The graph has a clear title and subtitle that explain exactly what the graph is portraying.
2. The graph is visually appealing as the colors complement each other. There is also a faint beach ball in the background which contributes to the visual appeal.
3. The axes are clearly labeled and the increments on the y-axis are evenly distributed, so viewers can clearly comprehend the data presented in the graph.

# data[].attributes.body
1) Horizontal graph starts at zero and goes up from there.
2) Graph has a title that makes sense and explains what is being depicted on the graph.
3) Bar graph is separated into two categories (male and female), and makes the graph easier to read and more visually appealing.