Decoding Beer Preferences in North America and Europe
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Data sources |
Naive analysis |
Beer styles |
Time evolution |
Seasonality |
Conclusion |
We will try to answer this question by first decomposing the time series for each region into seasonality and trend.
From the graph above, we can conclude the following points:
We suspect that the difference in the seasonality pattern of American and European ratings might be due to significant beer events that take place in Europe, such as Oktoberfest, which is, in fact, the world’s largest beer festival and takes place in late September and the first weekend of October.
Have you ever relaxed at a beach in summer, with your sun glasses on, sipping gently on your 12% Russian Imperial stout? Yes… Me neither. We suspect that people tend to drink lighter beers overall during hot summer days and rather prefer stronger kinds of beer during the colder parts of the year. This does not seem too unlikely, given that the seasonality pattern in both continents show higher ABV during winter periods on average than during summer!
To be sure, we will take a closer look at the trend and the seasonality (including residuals):
When keeping the residuals, the second peak in Europe looks more like a plateau, where North America seems to drop more quickly.
Since Guinness, and Stouts in general, are rather on the strong side of beer spectrum, an increase in consumption could easily spark a peak in the ABV pattern.
In a simple approach to investigate this, we decided to decompose the seasonality of each beer style into Fourier modes by running a simple discrete Fourier transform over it. Naturally converting from frequency space to periodicity space allows to easily filter beer styles that show a significant mode corresponding to a 12-month period.
Comparing the amplitudes and accounting for the popularity of the beer style, in addition to extracting the phase shift of the peaks, allows us to gain deeper insight on what the seasonality is composed of.
After some filtering for months that contribute to seasonality, a normalised Fourier transform would look like this:
We can summarise all the information, including the phase shift, which equals the peak ABV of the oscillation here in a fancy graph:
Approx. 80% of the seasonal contribution in North America peaks in the winter months (Dec.-Feb.), compared to around 65% in Europe.
We even can confirm our first suspect! Oktoberfest shows its face (or peak) on both continents each October in the form of a contribution from Dark Lagers, which contains among others Märzen as well as Oktoberfestbeer! Although the overall contribution to the total is only $\sim 5$%
We also observe styles such as Indian Pale Ale, which showed marginal seasonality overall to have a larger contribution in America and pretty much none in Europe. We can recall here that due to the huge popularity in North America, even a slight seasonal change in ABV can have a strong overall effect if enough people drink (and rate) it.
To our disappointment, St. Patricksday could not be confirmed. We observe the second peak in May, which is too late, and in the form of Strong Ales and Porters which peak only in Europe each year, a group of rather strong beers seems to gain popularity each May of every year.
Let us recall our initial trends, highlighting the months of May and October: