Data
Car-sales

Car-sales

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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This is the Car sales data set which include information about different cars . This data set is being taken from the Analytixlabs for the purpose of prediction In this we have to see two things First we have see which feature has more impact on car sales and carry out result of this Secondly we have to train the classifier and to predict car sales and check the accuracy of the prediction.

16 features

Manufacturerstring30 unique values
0 missing
Modelstring156 unique values
0 missing
Sales_in_thousandsnumeric157 unique values
0 missing
__year_resale_valuenumeric117 unique values
36 missing
Vehicle_typestring2 unique values
0 missing
Price_in_thousandsnumeric152 unique values
2 missing
Engine_sizenumeric31 unique values
1 missing
Horsepowernumeric66 unique values
1 missing
Wheelbasenumeric88 unique values
1 missing
Widthnumeric78 unique values
1 missing
Lengthnumeric127 unique values
1 missing
Curb_weightnumeric147 unique values
2 missing
Fuel_capacitynumeric55 unique values
1 missing
Fuel_efficiencynumeric20 unique values
3 missing
Latest_Launchstring130 unique values
0 missing
Power_perf_factornumeric154 unique values
2 missing

19 properties

157
Number of instances (rows) of the dataset.
16
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
51
Number of missing values in the dataset.
40
Number of instances with at least one value missing.
12
Number of numeric attributes.
0
Number of nominal attributes.
0.1
Number of attributes divided by the number of instances.
75
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.
25.48
Percentage of instances having missing values.
Average class difference between consecutive instances.
2.03
Percentage of missing values.

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