most popular christmas food in europe · most popular christmas food switzerland is the only...
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Most popular Christmas food in EuropeAutomated online detection of popular Christmas food items within Bisnode countries using data science.
Most popular Christmas food
Switzerland is the only country where the most popular keyword, fondue, is a dairy
50% of Austrias top ten keywords are sweets related, with “vanillekipferl” being most popular
Norway’s top keyword is “ribbe” – a roasted pork dish
Croatia’s top keyword is “bakalar”
In Hungary “mézeskalács” is the most popular keyword
“Perunalaatikko”, a sweetened potato dish is the most searched for in Finland
36% of Christmas food web search are associated to sweets
20% of Christmas food web search are associated to meat
20% of Christmas food web search are associated to veggie
Most popular keywords
Sweetsvanillekipferl Austriachocolat BelgiumPlätzchen Germanymézeskalács HungarySernik Poland
Meatflæskesteg Denmarkribbe Norwaykapustnica Slovakiakranjska klobasa Sloveniajulskinka Sweden
Fishbakalar Croatiakapr Czech Republicriba Macedonia
Veggietoit Estoniaperunalaatikko Finlandsalata Serbia
Dairyfondue Switzerland
29%Sweets
18%Veggie
29%Meat
6%Dairy
18%Fish
side dish
dairy
drink
Sweets are the most popular category for half the countries
Austria Belgium Switzerland Czech Republic Germany Denmark
Estonia Finland Croatia Macedonia Norway Poland
Sweden Slovakia Serbia Slovenia Hungary
sweets
fish
soup
meat
veggie
The percentage of the categories per country is computed by considering the weight of the top 10 keywords.
Sweets – top 10
1. Hungary2. Poland3. Sweden4. Denmark5. Germany6. Austria7. Belgium8. Slovenia9. Croatia10. Norway
Meat – top 10
1. Norway2. Slovenia3. Belgium4. Estonia5. Sweden6. Slovakia7. Croatia8. Denmark9. Switzerland10. Serbia
Fish – top 10
1. Czech Republic2. Croatia3. Macedonia4. Austria5. Poland6. Slovakia7. Hungary8. Sweden9. Finland10. Belgium
Veggie – top 10
1. Finland2. Serbia3. Estonia4. Macedonia5. Slovakia6. Czech Republic7. Denmark8. Hungary9. Poland10. Croatia
Methodology1. Step: acquisition of online contentBy leveraging search engines, Bisnode Group Analytics gathered in an automated way thousands of christmas food websites for each of the Bisnode Countries. Website structure and content were then auto matically explored and analysed.
2. Step: extraction of most relevant keywords per countryUsing text mining algorithms, food-related keywords per country where detected. Relying on statistical analysis, most relevant and country specific items have been identified, among millions of key-words extracted from websites. Christmas specificity of keywords is then further identified by ana-lysing their web-search popularity over time during the last 5 years (see side picture). Keywords that show a yearly spike at christmas are kept, while the ambiguous ones are dropped.
3. Step: assessing popularityWeb-search popularity associated to each keyword is then used to normalise popularity of keywords per country and to rank them. This normalised popularity is the score we use for all subsequent analyses.
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2014
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