To bar, or not to bar - what is the intention?
Going out just got a litttle more complex
Keras Toe Dip
Notebooks for Building Deep Learning Applications with Keras 2.0 (Lynda.com)
Image Source: TensorFlow
Data Guide for the Beer Perplexed V
PageRank and more networkx graphs
Bitcoin White Paper Review
A look at section “11. Calculations“
Causal Impact, Not so Much
A look at impact of GABF medals on search engagement
Data Guide for the Beer Perplexed IV
List graph of longest path
Data Source: CraftBeer.com
Data Guide for the Beer Perplexed III
D3 sunburst flavor wheel
Data: BreweryDB / Vis Source: Mike Bostock
Did you tap that?
Mapping NYE Weekend Kegs (2017)
Data source: Twitter
Data Guide for the Beer Perplexed II
R Shiny boxplot and scatter plot dashboard visualizations
Data Source: CraftBeer.com /
Scraping Template: CS109 / Share Beer Dimensions
Still Razor Thin
Three part breakdown to a tight fight:
- round scoring simulation based on Twitter user scores;
- round features & judges’ scores analysis;
- ELO ratings, before and after
Data Source: Twitter
Data Source: BoxRec
Suds in the City
Mapping with QGis and Carto
Share Whole Foods v. Trader Joe’s Voronoi
Data Guide for the Beer Perplexed
D3 link-node of beer style recommendations
Data Source: CraftBeer.com /
Scraping Template: CS109 /
Vis Code: Force-Directed Graph & Extra Features / Share Hairball
Bokeh co-occurrence matrix of beer style recommendations
Data Source: CraftBeer.com /
Vis Inspiration: D3 Les Misérables /
Vis Code: Bokeh Les Mis Occurrences / Share Grid
It was all GGGood just a week ago
Fight Hour Tweets
Data Source: Twitter
Six-Pack Project: The Netherlands
Three sklearn python data models:
- kNN analysis to determine likely beer style;
- text analysis of beer reviews; &
- MLE grid of IPA’s
Data source: Untappd
Data source: Untappd
Parallel Coordinates for De Molen’s Rook & Vuur Characteristics
(grouped by IQR overall scores)
Data source: BeerAdvocate
Data source: RateBeer
Going Dutch
Using PySpark technology and techniques to “learn” a language by identifying stop words and other terms via
World Beer Cup (I, II, & III)
Barley, Hops, and Bayes: Predicting The World Beer Cup
Data Source: World Beer Cup Data Model: Probabilistic Programming and Bayesian Methods for Hackers, Chapter 1
Exploring US Brewery Historical Data
An Rmd file showing some EDA and plots related to United States brewery counts, 1887 - 2012.
And a couple of not overly sophisticated/impressive D3 plots for Brewery Totals Over Time and Brewery Count Percentage Change Year-Over-Year
Data Source: Beer Institute