Data
Used-Cars-In-Saudi-Arabia

Used-Cars-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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Context Yallamotor is website in ksa have a collection of used vehicles for sale. I used the Yallamotor website to create dataset of used vehicles in KSA. Content Dataset includes ( 2287 ) vehicles information like price ,car model ,etc .. Acknowledgements The data in this dataset has been scraped using BeautifulSoup from the Yallamotor website. Inspiration Data will be handy to study and practice different models and approaches. As a further step you can use regression model to predict the car price based on the different features.

6 features

car_brandstring48 unique values
0 missing
car_modelstring219 unique values
0 missing
car_drivennumeric553 unique values
0 missing
car_transmissionstring3 unique values
0 missing
car_model_yearnumeric31 unique values
0 missing
car_pricenumeric262 unique values
0 missing

19 properties

2287
Number of instances (rows) of the dataset.
6
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.
3
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
50
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.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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