OpenML
Mental-Health-in-Tech-Survey

Mental-Health-in-Tech-Survey

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Dataset Information This dataset is from a 2014 survey that measures attitudes towards mental health and frequency of mental health disorders in the tech workplace. You are also encouraged to analyze data from the ongoing 2016 survey found here. Content This dataset contains the following data: Timestamp Age Gender Country state: If you live in the United States, which state or territory do you live in? self_employed: Are you self-employed? family_history: Do you have a family history of mental illness? treatment: Have you sought treatment for a mental health condition? work_interfere: If you have a mental health condition, do you feel that it interferes with your work? no_employees: How many employees does your company or organization have? remote_work: Do you work remotely (outside of an office) at least 50 of the time? tech_company: Is your employer primarily a tech company/organization? benefits: Does your employer provide mental health benefits? care_options: Do you know the options for mental health care your employer provides? wellness_program: Has your employer ever discussed mental health as part of an employee wellness program? seek_help: Does your employer provide resources to learn more about mental health issues and how to seek help? anonymity: Is your anonymity protected if you choose to take advantage of mental health or substance abuse treatment resources? leave: How easy is it for you to take medical leave for a mental health condition? mentalhealthconsequence: Do you think that discussing a mental health issue with your employer would have negative consequences? physhealthconsequence: Do you think that discussing a physical health issue with your employer would have negative consequences? coworkers: Would you be willing to discuss a mental health issue with your coworkers? supervisor: Would you be willing to discuss a mental health issue with your direct supervisor(s)? mentalhealthinterview: Would you bring up a mental health issue with a potential employer in an interview? physhealthinterview: Would you bring up a physical health issue with a potential employer in an interview? mentalvsphysical: Do you feel that your employer takes mental health as seriously as physical health? obs_consequence: Have you heard of or observed negative consequences for coworkers with mental health conditions in your workplace? comments: Any additional notes or comments Inspiration Some questions worth exploring: How does the frequency of mental health illness and attitudes towards mental health vary by geographic location? What are the strongest predictors of mental health illness or certain attitudes towards mental health in the workplace? Acknowledgements The original dataset is from Open Sourcing Mental Illness and can be downloaded here.

27 features

Timestampstring1246 unique values
0 missing
Agenumeric53 unique values
0 missing
Genderstring49 unique values
0 missing
Countrystring48 unique values
0 missing
statestring45 unique values
515 missing
self_employedstring2 unique values
18 missing
family_historystring2 unique values
0 missing
treatmentstring2 unique values
0 missing
work_interferestring4 unique values
264 missing
no_employeesstring6 unique values
0 missing
remote_workstring2 unique values
0 missing
tech_companystring2 unique values
0 missing
benefitsstring3 unique values
0 missing
care_optionsstring3 unique values
0 missing
wellness_programstring3 unique values
0 missing
seek_helpstring3 unique values
0 missing
anonymitystring3 unique values
0 missing
leavestring5 unique values
0 missing
mental_health_consequencestring3 unique values
0 missing
phys_health_consequencestring3 unique values
0 missing
coworkersstring3 unique values
0 missing
supervisorstring3 unique values
0 missing
mental_health_interviewstring3 unique values
0 missing
phys_health_interviewstring3 unique values
0 missing
mental_vs_physicalstring3 unique values
0 missing
obs_consequencestring2 unique values
0 missing
commentsstring160 unique values
1095 missing

19 properties

1259
Number of instances (rows) of the dataset.
27
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
1892
Number of missing values in the dataset.
1173
Number of instances with at least one value missing.
1
Number of numeric attributes.
0
Number of nominal attributes.
0.02
Number of attributes divided by the number of instances.
3.7
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
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.
93.17
Percentage of instances having missing values.
Average class difference between consecutive instances.
5.57
Percentage of missing values.

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