Data
Job_Profitability

Job_Profitability

active ARFF Publicly available Visibility: public Uploaded 03-11-2022 by Leon Gross
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Finding which features are most important to job profitability

30 features

Jobs_Gross_Margin_Percentage (target)numeric7275 unique values
0 missing
Job_Number (ignore)string14431 unique values
0 missing
Jobs_Gross_Marginnumeric13381 unique values
0 missing
Labor_Paynumeric5930 unique values
0 missing
Labor_Burdennumeric4204 unique values
0 missing
Material_Costsnumeric3566 unique values
0 missing
PO_Costsnumeric2119 unique values
0 missing
Labornumeric5437 unique values
0 missing
Equipment_Costsnumeric55 unique values
0 missing
Jobs_Totalnumeric5676 unique values
0 missing
Materials__Equip__POs_As_percent_of_Salesnumeric2326 unique values
0 missing
Labor_Burden_as_percent_of_Salesnumeric3260 unique values
0 missing
Labor_Pay_as_percent_of_Salesnumeric3791 unique values
0 missing
Sold_Hoursnumeric365 unique values
0 missing
Total_Hours_Workednumeric713 unique values
0 missing
Total_Technician_Paid_Timenumeric774 unique values
0 missing
NonBillable_Hoursnumeric1050 unique values
0 missing
Jobs_Total_Costsnumeric11973 unique values
0 missing
Is_Leadnumeric2 unique values
0 missing
Opportunitynumeric2 unique values
0 missing
Warrantynumeric2 unique values
0 missing
Recallnumeric2 unique values
0 missing
Convertednumeric2 unique values
0 missing
Jobs_Subtotalnumeric5673 unique values
0 missing
Pricebook_Pricenumeric3670 unique values
0 missing
Incomenumeric5536 unique values
0 missing
Estimatesnumeric12 unique values
0 missing
Jobs_Estimate_Sales_Subtotalnumeric5117 unique values
0 missing
Jobs_Estimate_Sales_Installednumeric4719 unique values
0 missing
Materials__Equipment__PO_Costsnumeric4757 unique values
0 missing
Lead Generated From Sourcestring4 unique values
0 missing

19 properties

14480
Number of instances (rows) of the dataset.
30
Number of attributes (columns) of the dataset.
0
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.
29
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of missing values.
-0.39
Average class difference between consecutive instances.
96.67
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
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.

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