OpenML
Adoptable-Dogs

Adoptable-Dogs

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
  • Computer Systems Machine Learning
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Context This dataset was created when I practiced webscraping. Content The data is a compilation of information on dogs who were available for adoption on December 12, 2019 in the Hungarian Database of Homeless Pets. In total, there were 2,937 dogs in the database. It contains information on dogs' names, breed, color, age, sex, the date they were found, and some characteristics of their personalities. Inspiration I thought it would be interesting to have a dataset that looks at adoptable dogs' characteristics. It is not really well-suited for prediction, but could be a good practice dataset for data visualization and working with categorical data.

19 features

IDnumeric1694 unique values
0 missing
namestring2009 unique values
92 missing
agenumeric233 unique values
0 missing
sexstring2 unique values
0 missing
breedstring277 unique values
0 missing
date_foundstring1583 unique values
0 missing
adoptable_fromstring1578 unique values
0 missing
postedstring1167 unique values
0 missing
colorstring23 unique values
0 missing
coatstring4 unique values
0 missing
sizestring3 unique values
0 missing
neuteredstring2 unique values
1085 missing
housebrokenstring2 unique values
2477 missing
likes_peoplestring2 unique values
938 missing
likes_childrenstring2 unique values
1718 missing
get_along_malesstring2 unique values
1304 missing
get_along_femalesstring2 unique values
1264 missing
get_along_catsstring2 unique values
2506 missing
keep_instring3 unique values
1021 missing

19 properties

2937
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).
12405
Number of missing values in the dataset.
2810
Number of instances with at least one value missing.
2
Number of numeric attributes.
0
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
10.53
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
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.
95.68
Percentage of instances having missing values.
Average class difference between consecutive instances.
22.23
Percentage of missing values.

0 tasks

Define a new task