These often-rigid working conditions combined with other problems can take their toll on employees leading to deteriorating levels of mental health. According to the 2021 OSMI Mental Health in Tech Survey, more than 90% of employees in the tech industry have been diagnosed with a mental health disorder. This data analysis and visualization track the prevalence of mental health illness in the tech industry as well as attitudes towards mental health.
METHODOLOGY
The dataset is a survey gotten from Kaggle. It was exported to Microsoft Excel where I cleaned the data by getting rid of blank rows. The dataset was then exported to Power BI, where further data cleaning was carried out. In Power BI, using Power Query, I removed irrelevant columns, replaced misspelled words and also filtered out countries that had a low number of respondents. I also created a new column for a number index using DAX.
ANALYSIS AND VISUALIZATION
The main objective of this analysis was to focus on relationships or correlations between mental illness, the tech environment, colleagues, employers, etc. One of the first visualization done was to ascertain the total number of respondents in the survey and their countries.
Further analysis and visualization were carried out and I was able to deduce the following:
The average age of tech employees in the 'Big Five' is approximately 30 years.
Male tech employees generally have a higher history of family mental illness than females.
Majority of tech employees are willing to discuss their mental issues with a direct supervisor, however very few of them would be willing to discuss such with a potential employer or during an interview
Many employees who have been treated for mental illness do not know the type or kind of medical leave their company offers for those in their conditions.
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