Data
Land-Market-in-Saudi-Arabia

Land-Market-in-Saudi-Arabia

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Elif Ceren Gok
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  • Computer Systems Machine Learning
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This dataset has been scrapped off sa.aqar.fm to obtain land information such as price, size, street width, and locations. The uncleaned dataset scrapped 4347 rows, but seems like 1395 were duplicated and deleted. Leaving us with 2952 rows. The majority of the data is unfortunately lands based in Riyadh, but there are a good number of lands in Jeddah and Khobar. The dataset is set in Arabia, and decided to keep it that way to keep the integrity of the data. However, the street width, land size, and price have all been converted to numerical values, leaving some of those values as null if couldn't convert them. Here is the data description: mainlocation object The main location of the land sublocation object Indicates the subregion of the location. Note that only the big cities (ex. Riyadh and Jeddah) have subregions, NaN values are meant to be empty neighborhood object The neighborhood where the land resides frontage object The cardinal direction where the land faces the street purpose object The purpose for land use streetwidth int The length of the street facing the land in meters size int The size of the land in meters squared Pricepm int The price per meters squared

8 features

mainlocationstring2 unique values
2859 missing
sublocationstring1 unique values
675 missing
neighborhoodstring4 unique values
0 missing
frontagestring3 unique values
1867 missing
purposestring2 unique values
2681 missing
streetwidthnumeric43 unique values
3 missing
sizenumeric879 unique values
0 missing
Pricepmnumeric659 unique values
0 missing

19 properties

2951
Number of instances (rows) of the dataset.
8
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
8085
Number of missing values in the dataset.
2951
Number of instances with at least one value missing.
3
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
37.5
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.
100
Percentage of instances having missing values.
Average class difference between consecutive instances.
34.25
Percentage of missing values.

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