Now we’re on to the conclusion of this 3 part series, where we deliver the network graph showing the linkages between beer types and glassware styles. As noted in the prior post, Gephi is our tool of choice for creating the network graph. The key elements required for most network graphs are nodes and edges….
Tag: RateBeer
Beer Styles and Glassware – Part 2
In the last post, we used the RateBeer API and Exploratory to gather and analyze data that matched beer styles to specific types of glassware. This gave us the ability to see some interesting patterns and to especially understand which glass styles are tied to the most popular (or obscure) beer types. In this follow-up,…
Beer Styles and Glassware
We’re back after a long break! In this post, the focus is on using RateBeer API data to analyze patterns in beer volumes by style, and look at the recommended glassware for each style. Our initial analysis will be of the basic statistical variety, using our old friend Exploratory, the powerful R-based software suite. As…
What are the Top 500 Beers?
Now it’s time for the fun part of this series – taking our data into Exploratory and finding out about the Top 500 beers according to RateBeer users. What patterns will we see? Which styles will dominate the ratings? Will high ABV styles rule the day? We’ll be able to answer these and other questions…
Top 500 Beers – Data Retrieval
In Part 1 of this series, I’m going to share how to retrieve the data that will allow us to analyze the Top 500 beers as rated by RateBeer users. As noted in the prior post, this article will focus on the steps where we retrieve and format the data for upcoming analysis. Here are…
Top 500 Beers Mapping Project
My latest idea is to attempt to map top rated beers, based on the average rating given by users at RateBeer.com. Using the GraphiQL interface, I can create a query that pulls these beers (100 at a time) into a .json format that can then be copied into any code editing software. The ultimate goal…
Analyzing Founders Beer Ratings With Exploratory
Hi, we’re back with some visual analysis of beer ratings gathered from the RateBeer API. This time around, we’re shifting our Michigan-centric focus from Bell’s to Founders to see what the user ratings tell us about Founders beers. Once again we’ll employ the powerful Exploratory platform to do our analysis. Let’s begin by using the…
Two Hearted Sentiment Analysis
Recent posts have used RateBeer API data to analyze ratings and reviews for Bell’s Two Hearted Ale, one of the benchmarks for the IPA (India Pale Ale) category. Our analyses have been done using Exploratory, a powerful front end tool based on R, an open source analysis framework. We’ll continue this series today, with an…
Bell’s Two Hearted Text Mining
In this entry in our informal series tracking data from the RateBeer API, we’ll take a look at using Exploratory for some simple text analysis. The goal here is to pair specific descriptive words from user reviews with their associated score. There are some nuances involved here, as reviewers will offer multiple terms to describe…
Beer Data and Exploratory, Part 2
My previous post looked at how to take data generated by the RateBeer API, and ingest, process, and visualize it using Exploratory, a powerful R-based analytics and data science framework. In this post, I’m going to take a look at data from Bell’s Brewery, one of the two largest in Michigan (Founders is the other),…