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 (

Visualization of a TensorFlow graph

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

attacker P

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

longest path tipsy

Data Source:

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: / Scraping Template: CS109 / Share Beer Dimensions

Still Razor Thin

Three part breakdown to a tight fight:

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: / Scraping Template: CS109 / Vis Code: Force-Directed Graph & Extra Features / Share Hairball

Bokeh co-occurrence matrix of beer style recommendations

Data Source: / 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:

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

Top Words
Code | Data Set

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

US Breweries Data Source: Beer Institute