Heartbeat s dataset is provided by leading employee engagement platform peakon.
Employee engagement dataset.
Education 1 below college 2 college 3 bachelor.
Dataset types dataset 1 format xlsx 1 csv 1 organizations bc public service a.
At least that s my understanding after 10 years in the hr field.
When it comes to measuring employee engagement the employee engagement survey template is a valuable tool.
Peakon s methodology combines decades of academic research with the latest data science to better understand employee experience in the workplace.
For employee performance evaluations.
That information is usually kept very private by companies.
This enormous hr data set focuses on employee absence.
Carla patalano provided the baseline idea for creating this synthetic data set which has been used now by over 100 human resource management students at the college.
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 dataset is taken from peakon employee survey data spanning 80 million survey responses across 160 countries as of january 2020.
Analyze and improve the experiences across your employee life cycle so your people and organization can thrive.
Bc public service work environment survey.
These figures represent the percentage of global employees that are engaged disengaged or actively disengaged at work.
There is a lot of risk legal reputation that sharing those would open them to.
It contains a staggering 8335 rows and 13 columns of data.
This is a fictional data set created by ibm data scientists.
Our survey asks employees questions from how motivated they are to how they feel about their employee benefits.
Students in the course learn data visualization techniques with tableau desktop and use this data set to complete a series of.
Leadership identify and enable future ready leaders who can inspire exceptional.
The data set contains employee numbers and names gender city job title department store location business unit division age length of service and the number of hour absent.