Data
IBM-HR-Analytics-Employee-Attrition--Performance

IBM-HR-Analytics-Employee-Attrition--Performance

active ARFF Database: Open Database, Contents: Database Contents Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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Uncover the factors that lead to employee attrition and explore important questions such as show me a breakdown of distance from home by job role and attrition or compare average monthly income by education and attrition. This is a fictional data set created by IBM data scientists. Education 1 'Below College' 2 'College' 3 'Bachelor' 4 'Master' 5 'Doctor' EnvironmentSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High' JobInvolvement 1 'Low' 2 'Medium' 3 'High' 4 'Very High' JobSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High' PerformanceRating 1 'Low' 2 'Good' 3 'Excellent' 4 'Outstanding' RelationshipSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High' WorkLifeBalance 1 'Bad' 2 'Good' 3 'Better' 4 'Best'

35 features

Agenumeric43 unique values
0 missing
Attritionstring2 unique values
0 missing
BusinessTravelstring3 unique values
0 missing
DailyRatenumeric886 unique values
0 missing
Departmentstring3 unique values
0 missing
DistanceFromHomenumeric29 unique values
0 missing
Educationnumeric5 unique values
0 missing
EducationFieldstring6 unique values
0 missing
EmployeeCountnumeric1 unique values
0 missing
EmployeeNumbernumeric1470 unique values
0 missing
EnvironmentSatisfactionnumeric4 unique values
0 missing
Genderstring2 unique values
0 missing
HourlyRatenumeric71 unique values
0 missing
JobInvolvementnumeric4 unique values
0 missing
JobLevelnumeric5 unique values
0 missing
JobRolestring9 unique values
0 missing
JobSatisfactionnumeric4 unique values
0 missing
MaritalStatusstring3 unique values
0 missing
MonthlyIncomenumeric1349 unique values
0 missing
MonthlyRatenumeric1427 unique values
0 missing
NumCompaniesWorkednumeric10 unique values
0 missing
Over18string1 unique values
0 missing
OverTimestring2 unique values
0 missing
PercentSalaryHikenumeric15 unique values
0 missing
PerformanceRatingnumeric2 unique values
0 missing
RelationshipSatisfactionnumeric4 unique values
0 missing
StandardHoursnumeric1 unique values
0 missing
StockOptionLevelnumeric4 unique values
0 missing
TotalWorkingYearsnumeric40 unique values
0 missing
TrainingTimesLastYearnumeric7 unique values
0 missing
WorkLifeBalancenumeric4 unique values
0 missing
YearsAtCompanynumeric37 unique values
0 missing
YearsInCurrentRolenumeric19 unique values
0 missing
YearsSinceLastPromotionnumeric16 unique values
0 missing
YearsWithCurrManagernumeric18 unique values
0 missing
Show all 35 features

19 properties

NumberOfInstances
1470
Number of instances (rows) of the dataset.
NumberOfFeatures
35
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
26
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0.02
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
74.29
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties

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