Assignment 15
Charlotte Crowell
6/26/2020
Finding a Dataset 1
View of the Dataset
Structure of the Dataset
## 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()
## .. )Finding a Dataset 2
Description of the Dataset
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.
Reading and Writing
Structure and Attributes
Data Manipulation
## # A tibble: 242 x 22
## X1 ref company company_location review_date country_of_bean~
## <dbl> <dbl> <chr> <chr> <dbl> <chr>
## 1 5 1015 A. Mor~ France 2013 Venezuela
## 2 7 1011 A. Mor~ France 2013 Ecuador
## 3 26 2206 A. Mor~ France 2018 Peru
## 4 29 1470 Acalli U.S.A 2015 Peru
## 5 36 2438 Aelan Vanuatu 2019 Vanuatu
## 6 37 2438 Aelan Vanuatu 2019 Vanuatu
## 7 58 1125 Altus ~ U.S.A 2013 Dominican repub~
## 8 59 1133 Altus ~ U.S.A 2013 Bolivia
## 9 63 1732 Altus ~ U.S.A 2016 Ecuador
## 10 65 1732 Altus ~ U.S.A 2016 Peru
## # ... with 232 more rows, and 16 more variables:
## # specific_bean_origin_or_bar_name <chr>, cocoa_percent <dbl>, rating <dbl>,
## # counts_of_ingredients <dbl>, beans <chr>, cocoa_butter <chr>,
## # vanilla <chr>, lecithin <chr>, salt <chr>, sugar <chr>,
## # sweetener_without_sugar <chr>, first_taste <chr>, second_taste <chr>,
## # third_taste <chr>, fourth_taste <chr>, quality <chr>## [1] 3## [1] 3.17562## # A tibble: 105 x 22
## X1 ref company company_location review_date country_of_bean~
## <dbl> <dbl> <chr> <chr> <dbl> <chr>
## 1 7 1011 A. Mor~ France 2013 Ecuador
## 2 26 2206 A. Mor~ France 2018 Peru
## 3 29 1470 Acalli U.S.A 2015 Peru
## 4 68 129 Amano U.S.A 2007 Madagascar
## 5 80 1145 Amazona Peru 2013 Peru
## 6 81 1145 Amazona Peru 2013 Peru
## 7 92 170 Amedei Italy 2007 Blend
## 8 103 572 AMMA Brazil 2010 Brazil
## 9 115 1534 Arete U.S.A 2015 Brazil
## 10 171 2056 Auro Philippines 2018 Philippines
## # ... with 95 more rows, and 16 more variables:
## # specific_bean_origin_or_bar_name <chr>, cocoa_percent <dbl>, rating <dbl>,
## # counts_of_ingredients <dbl>, beans <chr>, cocoa_butter <chr>,
## # vanilla <chr>, lecithin <chr>, salt <chr>, sugar <chr>,
## # sweetener_without_sugar <chr>, first_taste <chr>, second_taste <chr>,
## # third_taste <chr>, fourth_taste <chr>, quality <chr>Numerical Summaries
## rateSum
## 1st Qu.: 657 1st Qu.: 70 1st Qu.: 781 1st Qu.:2.0
## 1 1 1 1
## 1st Qu.:2.8 1st Qu.:2011 3rd Qu.: 75 3rd Qu.:1691
## 1 1 1 1
## 3rd Qu.:2018 3rd Qu.:2059 3rd Qu.:3.5 3rd Qu.:4.0
## 1 1 1 1
## Class :character Length:242 Max. :100 Max. :2020
## 16 16 1 1
## Max. :2215 Max. :2490 Max. :4.0 Max. :5.0
## 1 1 1 1
## Mean : 71 Mean :1162 Mean :1396 Mean :2014
## 1 1 1 1
## Mean :3.1 Mean :3.2 Median : 70 Median :1188
## 1 1 1 1
## Median :1448 Median :2015 Median :3.0 Min. : 5
## 1 1 2 1
## Min. : 15 Min. : 58 Min. :2.0 Min. :2006
## 1 1 2 1
## Mode :character
## 16## cocoaSum
## 1st Qu.: 657 1st Qu.: 70 1st Qu.: 781 1st Qu.:2.0
## 1 1 1 1
## 1st Qu.:2.8 1st Qu.:2011 3rd Qu.: 75 3rd Qu.:1691
## 1 1 1 1
## 3rd Qu.:2018 3rd Qu.:2059 3rd Qu.:3.5 3rd Qu.:4.0
## 1 1 1 1
## Class :character Length:242 Max. :100 Max. :2020
## 16 16 1 1
## Max. :2215 Max. :2490 Max. :4.0 Max. :5.0
## 1 1 1 1
## Mean : 71 Mean :1162 Mean :1396 Mean :2014
## 1 1 1 1
## Mean :3.1 Mean :3.2 Median : 70 Median :1188
## 1 1 1 1
## Median :1448 Median :2015 Median :3.0 Min. : 5
## 1 1 2 1
## Min. : 15 Min. : 58 Min. :2.0 Min. :2006
## 1 1 2 1
## Mode :character
## 16| 2 | 3 | 4 | 5 | |
|---|---|---|---|---|
| 58 | 0 | 0 | 0 | 1 |
| 60 | 0 | 4 | 6 | 1 |
| 61 | 0 | 0 | 0 | 1 |
| 62 | 0 | 1 | 3 | 0 |
| 63 | 0 | 2 | 2 | 0 |
| 64 | 1 | 2 | 1 | 1 |
| 65 | 2 | 2 | 1 | 3 |
| 66 | 0 | 0 | 1 | 0 |
| 67 | 1 | 2 | 0 | 0 |
| 68 | 2 | 3 | 2 | 1 |
| 69 | 1 | 0 | 1 | 0 |
| 70 | 26 | 28 | 22 | 6 |
| 71 | 3 | 0 | 3 | 2 |
| 71.5 | 0 | 1 | 0 | 0 |
| 72 | 5 | 13 | 4 | 5 |
| 73 | 4 | 2 | 0 | 0 |
| 74 | 3 | 4 | 1 | 0 |
| 75 | 11 | 8 | 12 | 0 |
| 76 | 2 | 4 | 0 | 0 |
| 77 | 2 | 3 | 0 | 0 |
| 78 | 0 | 1 | 1 | 0 |
| 80 | 3 | 1 | 1 | 0 |
| 82 | 2 | 0 | 0 | 0 |
| 85 | 1 | 4 | 1 | 1 |
| 88 | 1 | 0 | 0 | 0 |
| 90 | 1 | 1 | 0 | 0 |
| 100 | 1 | 0 | 0 | 0 |
Graphical Summaries
