Mobile usage and productivity impact dataset

obile Usage and Productivity Dataset is a survey-based dataset containing 10,000 responses collected to investigate the relationship between mobile phone usage habits and self-reported productivity levels. The dataset includes information on respondents' age group, daily mobile screen-time range, daily phone-check frequency, primary purpose of mobile phone use, perceived phone distraction, notification management habits, and productivity rating. The data was collected through a structured multiple-choice survey, allowing respondents to provide answers quickly without requiring access to personal records or device statistics. The dataset contains both categorical and ordinal/numerical features and can be used for exploratory data analysis, statistical analysis, data visualization, feature encoding, classification, and machine learning applications. The dataset is particularly suitable for studying whether mobile phone usage patterns and related behaviors can be used to predict self-reported productivity levels. It can be used for educational, academic, and research purposes involving data preprocessing, supervised machine learning, and predictive modeling.