Data
Dubai-Properties---Apartments

Dubai-Properties---Apartments

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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This dataset is part of my personal project Apartment Pricing: Advance Regression Techniques. You can check the details on the below URL: Apartment Pricing: Advanced Regression Techniques The data is scraped from the real estate portal and it is anonymized. It consists of more than 1800+ properties containing 38 features.

37 features

id (ignore)numeric1905 unique values
0 missing
neighborhoodstring54 unique values
0 missing
latitudenumeric723 unique values
0 missing
longitudenumeric722 unique values
0 missing
pricenumeric821 unique values
0 missing
size_in_sqftnumeric1121 unique values
0 missing
price_per_sqftnumeric1784 unique values
0 missing
no_of_bedroomsnumeric6 unique values
0 missing
no_of_bathroomsnumeric6 unique values
0 missing
qualitystring4 unique values
0 missing
maid_roomnominal2 unique values
0 missing
unfurnishednominal2 unique values
0 missing
balconynominal2 unique values
0 missing
barbecue_areanominal2 unique values
0 missing
built_in_wardrobesnominal2 unique values
0 missing
central_acnominal2 unique values
0 missing
childrens_play_areanominal2 unique values
0 missing
childrens_poolnominal2 unique values
0 missing
conciergenominal2 unique values
0 missing
covered_parkingnominal2 unique values
0 missing
kitchen_appliancesnominal2 unique values
0 missing
lobby_in_buildingnominal2 unique values
0 missing
maid_servicenominal2 unique values
0 missing
networkednominal2 unique values
0 missing
pets_allowednominal2 unique values
0 missing
private_gardennominal2 unique values
0 missing
private_gymnominal2 unique values
0 missing
private_jacuzzinominal2 unique values
0 missing
private_poolnominal2 unique values
0 missing
securitynominal2 unique values
0 missing
shared_gymnominal2 unique values
0 missing
shared_poolnominal2 unique values
0 missing
shared_spanominal2 unique values
0 missing
studynominal2 unique values
0 missing
vastu_compliantnominal2 unique values
0 missing
view_of_landmarknominal2 unique values
0 missing
view_of_waternominal2 unique values
0 missing
walk_in_closetnominal2 unique values
0 missing

19 properties

1905
Number of instances (rows) of the dataset.
37
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.
7
Number of numeric attributes.
28
Number of nominal attributes.
0.02
Number of attributes divided by the number of instances.
18.92
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
75.68
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.
28
Number of binary attributes.
75.68
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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