HRdata: Human Resource dataset
In katokohaku/ggumap: ggplot interfases for Uniform Manifold Approximation and Projection (UMAP)
Description
Usage
Format
Source
Description
A dataset from Kaggle competition Human Resources Analytics: Why are our best and most experienced employees leaving prematurely? according to help(breakDown::HR_data).
Usage
1
Format
A data frame with 14999 rows of 10 variables:
- satisfaction_level
Level of satisfaction (0-1)
- last_evaluation
Time since last performance evaluation (in Years)
- number_project
Number of projects completed while at work
- average_montly_hours
Average monthly hours at workplace
- time_spend_company
Number of years spent in the company
- Work_accident
Whether the employee had a workplace accident
- left
Whether the employee left the workplace or not (1 or 0) Factor
- promotion_last_5years
Whether the employee was promoted in the last five years
- sales
Department in which they work for
- salary
Relative level of salary (high)
Source
katokohaku/ggumap documentation built on Nov. 4, 2019, 3:32 p.m.
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Description Usage Format Source
Description
A dataset from Kaggle competition Human Resources Analytics: Why are our best and most experienced employees leaving prematurely? according to help(breakDown::HR_data).
Usage
1 |
Format
A data frame with 14999 rows of 10 variables:
- satisfaction_level
Level of satisfaction (0-1)
- last_evaluation
Time since last performance evaluation (in Years)
- number_project
Number of projects completed while at work
- average_montly_hours
Average monthly hours at workplace
- time_spend_company
Number of years spent in the company
- Work_accident
Whether the employee had a workplace accident
- left
Whether the employee left the workplace or not (1 or 0) Factor
- promotion_last_5years
Whether the employee was promoted in the last five years
- sales
Department in which they work for
- salary
Relative level of salary (high)
Source
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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