Data
Dog_Breeds_Ranked

Dog_Breeds_Ranked

active ARFF Public Domain (CC0) Visibility: public Uploaded 31-05-2024 by Iwo Godzwon
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### Description: The Dogs Ranking Dataset is an informative compilation aimed at providing a comprehensive overview of various dog breeds and their characteristics. This dataset encompasses a wide array of attributes spanning from physical traits to cost-related aspects, making it an indispensable resource for potential dog owners, veterinarians, and dog enthusiasts. It delves into breed-specific information including type, size, intelligence, congenital ailments, and more, coupled with quantitative metrics suchasility for cohabitation with children, and financial commitments involved over a dog's lifespan. ### Attribute Description: - Breed: Includes breeds like English Springer Spaniel, Akita, amongst others. - Type: Classifies breeds into categories like hound, non-sporting, and terrier. - Score: A numerical value indicating the breed's overall rating. - Popularity Ranking: Numeric rank based on the breed's popularity. - Size & Size.1: Represents the dog's physical stature, with values like medium and large. 'Size.1' offers a descriptive size categorization. - Intelligence: Descriptive ranking of the breed's intelligence level. - Congenital Ailments: Lists potential hereditary health issues. - Score for Kids: Numerical rating reflecting suitability for families with children. - $LIFETIME COST: Estimated financial cost covering the dog's lifespan. - INTELLIGENCE RANK & INTELLIGENCE %: Provides a rank and percentage estimating the breed's intelligence. - LONGEVITY(YEARS): Average lifespan in years. - NUMBER OF GENETIC AILMENTS: Indicates the count of known hereditary conditions. - GENETIC AILMENTS: Detailing specific hereditary health issues. - PURCHASE PRICE: Initial cost of acquiring the breed. - FOOD COSTS PER YEAR: Annual estimated expenditure on food. - GROOMING FREQUENCY: Required frequency of grooming. - SUITABILITY FOR CHILDS: Numeric score indicating compatibility with children. ### Use Case: This dataset is particularly valuable for individuals looking to adopt or purchase a dog by offering a data-driven approach to understanding breed-specific expectations and responsibilities. It assists in matching a breed to a potential owner's lifestyle, financial readiness, and compatibility with household members, including children. Additionally, it serves as a research tool for veterinary studies focusing on congenital ailments and their prevalence across breeds, thus contributing to targeted healthcare and breeding practices.

19 features

Breednominal87 unique values
0 missing
typenominal7 unique values
0 missing
scorenumeric71 unique values
0 missing
popularity rankingnumeric87 unique values
0 missing
sizenominal3 unique values
0 missing
intelligencenominal6 unique values
0 missing
congential ailmentsnominal47 unique values
0 missing
score for kidsnumeric71 unique values
0 missing
size.1nominal3 unique values
0 missing
$LIFETIME COSTstring87 unique values
0 missing
INTELLIGENCE RANKnumeric67 unique values
0 missing
INTELLIGENCE %string67 unique values
0 missing
LONGEVITY(YEARS)numeric83 unique values
0 missing
NUMBER OF GENETIC AILMENTSnumeric8 unique values
0 missing
GENETIC AILMENTSnominal50 unique values
0 missing
PURCHASE PRICEstring77 unique values
0 missing
FOOD COSTS PER YEARnominal10 unique values
0 missing
GROOMING FREQUNCYnominal3 unique values
0 missing
SUITABILITY FOR CHILDRENnominal3 unique values
0 missing

19 properties

87
Number of instances (rows) of the dataset.
19
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
6
Number of numeric attributes.
10
Number of nominal attributes.
0.22
Number of attributes divided by the number of instances.
31.58
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
52.63
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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