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Table 1 Seasonal variations analysis for group of consumer products and Google Trends topic

From: Seasonal variation in lifestyle behavior in Poland: Google searches and market sales analysis

Topic

TBATS (seasonality present, period [months])

Month with the highest seasonal component [Index/RSV]

Month with the lowest seasonal component [Index/RSV]

Seasonal component amplitude [Index/RSV]

                        Group of food and drinks

 Bread

   YES, 12

   October (8.80)

  February (−11.53)

20.33

 Dairy

   YES, 12

   August (8.57)

  February (−13.57)

22.14

 Sweets

   YES, 12

   October (13.10)

  February (−11.31)

24.41

 Processed fish

   YES, 12

   December (19.22)

  April (−12.11)

31.32

 Ready-made meals

   YES, 12

   June (9.69)

  February (−13.04)

22.74

 Salty snacks

   YES, 12

   June (17.44)

  February (−17.49)

34.93

 Food fats

   YES, 12

   December (13.93)

  April (−18.89)

32.81

 Meats

   YES, 12

   August (17.99)

  February (−19.19)

37.18

 Beer

   YES, 12

   August (24.23)

  February (−24.00)

48.23

 Wine

   YES, 12

   December (37.15)

  February (−16.22)

53.37

 Alcohol 30%+

   YES, 12

   December (14.02)

  February (−7.52)

21.53

 Cigarettes

   YES, 12

   August (10.80)

  February (−15.36)

26.16

                         Google Trends topics

 Diet

   YES, 12

   February (14.47)

  December (−18.22)

32.69

 Dietetic

   YES, 12

   January (12.14)

  December (−20.31)

32.45

 Dietary supplements

   YES, 12

   February (13.98)

  December (−9.64)

23.63

 Weight loss

   YES, 12

   January (16.79)

  December (−20.57)

37.37

 Gym

   YES, 12

   January (21.99)

  June (−14.45)

36.44

 Running

   YES, 12

   May (32.17)

  January (−19.23)

51.40