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    1. Hello, beer lovers!

      I am an undergraduate student in Statistics, and for a semester project in my Multivariate Analysis course, I decided to work with a dataset on beer reviews. I used R to code and used webscrapped data from [BeerAdvocate.com](http://BeerAdvocate.com) (a beer review website).

      Using correspondence analysis, I created a map that depicts the similarity between beers and their predominant sensory characteristics.

      The red triangles represent beer styles, and the blue circles represent taste perceptions. So, for example, if I want to drink a beer with a strong hop characteristic, I look for the blue circle labeled ‘hoppy’ on the map and find different styles around that point that contain this characteristic.

      Nearby points tend to have the same taste/feel. So, if you like one style and want to try another similar style, this map would help.

      This map contains 103 different beer styles and 11 taste perceptions, which are: Alcohol, Body, Malty, Sweet, Salty, Fruity, Sour, Astringent, Malty, Hoppy, and Spices.

      Of course, there may be styles that are not correctly ‘classified’. If you find any, please let me know.

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