By having each side affect represented as parts of a whole, the viewer can easily compare the size of each “slice” and therefore conclude which side effect was most frequent. Evidently, the largest “slice” is the other side effects and depression. The smallest slices” or least frequent side effect is a lack of energy.

the min in the data is 167 and the max is 210 the range between the lights is very great and yet they compete against each other. the mediant height is 191 meaning the most players are around 190 cm but most players are above. the min is a lot further away from the median than the max again showing that most players are more closely together in height above 190 than not.

When comparing graphs, viewers are able to see which swimming events are the fastest on average based on how frequent values closest to zero occur. For example, viewers can infer that freestyle is the fastest stroke because the general pattern the histogram shows is that the highest frequencies occur in values closer to zero than they do for the other three swimming events. How close together or how evenly or unevenly distributed the bars on the histogram are can tell us how strong the patterns between the two variables are. 

R-value:  -0.0155949751 → -0.0156

Description & Interpretation: In looking at the r-value, it is clear that hours spent participating in theater per week and daily stress levels have a very weak, negative, non-linear relationship. This means that as the hours spent participating in theater per week increases, the stress levels of individuals vary. There is almost no correlation between the variables, which is likely because there are many factors that influence one's mental wellbeing and stress threshold. This supports the idea that correlation does not always imply causation, as theater can be a source of stress for many (or a source of stress relief), but there are many other factors in life that play into one’s ability to handle stress. 

This is seen as when looking at the mean of home games won this season per each NBA team it comes out to 22.3. When looking at away wins it comes out to an average of 18.7 wins. It doesn’t seem like a huge difference in general and when looking at the scatter plots but when looking at the wider NBA context, a difference of 3.6 games is extremely substantial when it comes to standings and potential playoff placement. 

Based on the graph above, I would say that the majority of the wind in the English Channel is blowing towards the southwest because the visual concentration of lines in the southwestern quadrant (Quadrant III) is very obvious. There is also very little southeastern wind, as there are only 3 vectors in Quadrant IV of the graph, which demonstrates that it would not usually be easy to swim across the English Channel, because that would be the most beneficial wind direction for someone swimming across the English Channel and it does not occur often.