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These data, originally organized by Suraj Das for a Kaggle dataset, have been cleaned and prepared for the TidyTuesday series.

The data contains three files:

  • historical_spending contains Valentine's spending from 2010 to 2022.

  • gifts_age contains information on gifts by age.

  • gifts_gender contains information on gifts by gender.

For a description of the variables of these table, see the link above.

Note that in these historical surveys, gender was collected as only 'Men' and 'Women', which does not accurately include all genders.

Usage

valentine()

Value

character(3) of urls to file names.

Author

Laurent Gatto

Examples


valentine()
#>                                                                                                 historical_spending 
#> "https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2024/2024-02-13/historical_spending.csv" 
#>                                                                                                           gifts_age 
#>           "https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2024/2024-02-13/gifts_age.csv" 
#>                                                                                                        gifts_gender 
#>        "https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2024/2024-02-13/gifts_gender.csv"