Analyzing and Predicting the Impact of Social Media on Daily Lives Using Machine Learning

This dataset was created as part of a study investigating the impact of social media on students, employees, and the unemployed. A total of 522 responses were collected, containing both numeric and string data. The majority of the data was gathered from students, with additional contributions from employees and the unemployed to ensure a diverse and representative sample. The data was collected through a Google Form, which was specifically designed to capture comprehensive and relevant information for the study. The questionnaire comprised 14 carefully selected questions sourced from reputable platforms such as SurveyMonkey, QuestionPro, and JotForm. These sources were utilized to ensure the use of well-established question formats, enhancing the reliability and validity of the dataset. This dataset provides valuable insights into how social media impacts individuals in different life roles and serves as a foundation for further analysis and research.