Data
employee_salaries

employee_salaries

active ARFF Public Domain (CC0) Visibility: public Uploaded 12-09-2019 by Guillaume Lemaitre
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Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2016. This information will be published annually each year.

13 features

current_annual_salary (target)numeric3403 unique values
0 missing
full_namestring9222 unique values
0 missing
gendernominal2 unique values
17 missing
2016_gross_pay_receivednumeric8977 unique values
100 missing
2016_overtime_paynumeric6176 unique values
2917 missing
departmentnominal37 unique values
0 missing
department_namenominal37 unique values
0 missing
divisionstring694 unique values
0 missing
assignment_categorynominal2 unique values
0 missing
employee_position_titlestring385 unique values
0 missing
underfilled_job_titlestring84 unique values
8135 missing
date_first_hiredstring2264 unique values
0 missing
year_first_hirednumeric51 unique values
0 missing

62 properties

9228
Number of instances (rows) of the dataset.
13
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
11169
Number of missing values in the dataset.
8380
Number of instances with at least one value missing.
4
Number of numeric attributes.
4
Number of nominal attributes.
41862.24
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.89
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
19228.04
Mean standard deviation of attributes of the numeric type.
0.73
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
15.38
Percentage of binary attributes.
20898.81
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-0.14
Minimum kurtosis among attributes of the numeric type.
90.81
Percentage of instances having missing values.
Third quartile of entropy among attributes.
12.01
Maximum kurtosis among attributes of the numeric type.
2003.6
Minimum of means among attributes of the numeric type.
9.31
Percentage of missing values.
9.45
Third quartile of kurtosis among attributes of the numeric type.
79504.04
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
30.77
Percentage of numeric attributes.
77975.57
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
30.77
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
37
The maximum number of distinct values among attributes of the nominal type.
-0.67
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
2.28
Third quartile of skewness among attributes of the numeric type.
2.75
Maximum skewness among attributes of the numeric type.
9.33
Minimum standard deviation of attributes of the numeric type.
0.2
First quartile of kurtosis among attributes of the numeric type.
33608.71
Third quartile of standard deviation of attributes of the numeric type.
35105.24
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
4086.27
First quartile of means among attributes of the numeric type.
20.21
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
3.73
Mean kurtosis among attributes of the numeric type.
2
Number of binary attributes.
-0.36
First quartile of skewness among attributes of the numeric type.
41308.03
Mean of means among attributes of the numeric type.
3176.62
First quartile of standard deviation of attributes of the numeric type.
-31436.27
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
1.52
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
19.5
Average number of distinct values among the attributes of the nominal type.

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