Beer Review Analysis
Beer Review Analysis launched on January 22, 2018 with 15 votes, #983 of 3,021 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 8 years on.
In plain words
Beer Review Analysis is a data visualization project that analyzes millions of short beer reviews to identify patterns and trends. Using Python tools like matplotlib and the wordcloud library, it generates graphs showing the most reviewed beer styles, word clouds highlighting frequently used terms in reviews, and analysis of review language. The project is designed for beer enthusiasts and data analysts interested in understanding what styles dominate the market and which descriptors reviewers most commonly use.
written from the facts on this page · September 2026
From the sources
I obtained a database of millions of short beer reviews, which I have generated graphs and word clouds from and performed a small amount of analysis. I made use of matplotlib along with the python wordcloud library, to generate graphs and word clouds respectively. The following graph depicts the number of beers for the top 20 beer styles. The top style of beer by a far distance is the IPA, followed by the American Pale Ale. The following graph depicts the most popular words used in reviews (ignoring stop words). The following image depicts a word cloud of the most popular words. For this and the next word cloud, I removed words such as “bottle,flavour,flavor,really”, to try to…from anfractuosity.com
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