Thier have been issues in understanding the data profession statistical survey, such as the type of programming language used, the ratio of men to women in the field and the average salary in data professsion in different location. With the help of this data set, we can get insight and idea, using visualization tools such as Power BI.
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Preferred language for programming: With 420 replies, Python is the most popular language, followed by R with 101 respondents.
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Data Scientist have the highest amont of employees followed by Data Engineers based on the survey takers.
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United states had the highest number of survey takers .
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Distribution of Gender: The top priority for job seekers are remote work (127 responses) and better salary (297 responses).
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Age Distribution: Men: 74.3%; Women: 25.7%
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The respondents' average age was 29.87 years.
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Range of ages: 18 to 92
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Pay attention to work/life balance and salary: Companies should think about enhancing work/life balance and remuneration given the lower employee satisfaction numbers in order to increase employee satisfaction.
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Provide Attention to Career Switchers: Since there are a lot of these people, training and onboarding initiatives should be customised to fit a range of backgrounds.
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Examine Remote Work Options: Given the growing inclination towards remote work, providing flexible work arrangements may attract prospective employees.
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Gender Diversity: It is important to work towards having more women in the data industry.
The data professional community exhibits a wide range of job satisfaction levels, with notable inclinations for increased pay, work/life balance, and educational possibilities. Companies should prioritise offering fair pay, flexible work schedules, and opportunity for ongoing learning in order to draw in and keep data professionals. A more inclusive and dynamic workforce can also be achieved by recognising the increasing number of people changing careers and by increasing gender diversity. #