## tibble [2,224 x 21] (S3: tbl_df/tbl/data.frame)
## $ X1 : num [1:2224] 0 1 2 3 4 5 6 7 8 9 ...
## $ ref : num [1:2224] 2454 2458 2454 797 797 ...
## $ company : chr [1:2224] "5150" "5150" "5150" "A. Morin" ...
## $ company_location : chr [1:2224] "U.S.A" "U.S.A" "U.S.A" "France" ...
## $ review_date : num [1:2224] 2019 2019 2019 2012 2012 ...
## $ country_of_bean_origin : chr [1:2224] "Madagascar" "Dominican republic" "Tanzania" "Peru" ...
## $ specific_bean_origin_or_bar_name: chr [1:2224] "Bejofo Estate, batch 1" "Zorzal, batch 1" "Kokoa Kamili, batch 1" "Peru" ...
## $ cocoa_percent : num [1:2224] 76 76 76 63 70 70 63 70 70 70 ...
## $ rating : num [1:2224] 3.75 3.5 3.25 3.75 3.5 4 4 3.75 3.5 3.25 ...
## $ counts_of_ingredients : num [1:2224] 3 3 3 4 4 4 3 4 4 4 ...
## $ beans : chr [1:2224] "have_bean" "have_bean" "have_bean" "have_bean" ...
## $ cocoa_butter : chr [1:2224] "have_cocoa_butter" "have_cocoa_butter" "have_cocoa_butter" "have_cocoa_butter" ...
## $ vanilla : chr [1:2224] "have_not_vanila" "have_not_vanila" "have_not_vanila" "have_not_vanila" ...
## $ lecithin : chr [1:2224] "have_not_lecithin" "have_not_lecithin" "have_not_lecithin" "have_lecithin" ...
## $ salt : chr [1:2224] "have_not_salt" "have_not_salt" "have_not_salt" "have_not_salt" ...
## $ sugar : chr [1:2224] "have_sugar" "have_sugar" "have_sugar" "have_sugar" ...
## $ sweetener_without_sugar : chr [1:2224] "have_not_sweetener_without_sugar" "have_not_sweetener_without_sugar" "have_not_sweetener_without_sugar" "have_not_sweetener_without_sugar" ...
## $ first_taste : chr [1:2224] "cocoa" "cocoa" "rich cocoa" "fruity" ...
## $ second_taste : chr [1:2224] "blackberry" "vegetal" "fatty" "melon" ...
## $ third_taste : chr [1:2224] "full body" "savory" "bready" "roasty" ...
## $ fourth_taste : chr [1:2224] NA NA NA NA ...
## - attr(*, "spec")=
## .. cols(
## .. X1 = col_double(),
## .. ref = col_double(),
## .. company = col_character(),
## .. company_location = col_character(),
## .. review_date = col_double(),
## .. country_of_bean_origin = col_character(),
## .. specific_bean_origin_or_bar_name = col_character(),
## .. cocoa_percent = col_double(),
## .. rating = col_double(),
## .. counts_of_ingredients = col_double(),
## .. beans = col_character(),
## .. cocoa_butter = col_character(),
## .. vanilla = col_character(),
## .. lecithin = col_character(),
## .. salt = col_character(),
## .. sugar = col_character(),
## .. sweetener_without_sugar = col_character(),
## .. first_taste = col_character(),
## .. second_taste = col_character(),
## .. third_taste = col_character(),
## .. fourth_taste = col_character()
## .. )This delicious dataset compiles, compares, and rates the taste of over 1,700 chocolate bars from around the world. The set shows the company that made the bar, the company’s location, where the cocoa beans came from, when the bar was rated how many ingredients are in the bar, how much of the bar is cocoa, whether or not the bar contains beans, cocoa butter, vanilla, lecithin, salt, sugar, or sweeteners, and describes the different flavors of the bar.
Ratings range from 5.0 (outstanding) to 1.0 (terrible), with a ver wide rage in between.
The dataset also gives a detailed description of the different levels of flavor within the bar, and the order in which they were experienced.