##Introduction This data is beer data from all over the world. It includes the different review scores that individuals have given it including “Review Overall”, “Review_aroma”, “review_apperance” and much more. It also shows the ABV of each of the beers listed which can tell the reader how strong a certain beer is or not.

##How does the taste influence the review overall? As seen the taste drastically effects the overall review of the beer. It would not make sense if the overall review was better than the taste. We can see a direct correlation between the taste and the review overall.

##What are the first 20 reviews (Which happen to be all one beer)? As we can see the majority of the reviews are averaged at about a 2.5. Looks like i will not be getting that beer. This graph can be made for any beer or any slice within the data which could tell the reader the “Average overall Rating” for a singular beer.

##What is the frequency of the ABV within this beer list?

As seen the ABV with the most beers are 5.79 and 4.19. This tells us that the number of beers at this ABV range seems to be popular from the sample set we have gathered from the larger set.

##Show the Beer and the review apperance with a fill on the ABV The color means the severity of the Abv. The more blue indicates a stronger Abv. As we can see the English Pale Ale and the American Pale Ale (APA) have the strongest ABV’s in this list.

##Show a table of reviews over a 2.5 as a “High Review” and othewise “Low Review”

## Review1
## High Review  Low Review 
##         393          64

As seen from this table the majority of the reviews overall seemed to be a “High Review”. This means that the majority of the beers on this sample set happened to be mostly better than a 2.5