Finance_Behavior_Dataset.csv

This dataset captures demographic, behavioral, and psychological traits related to decision-making, impulsivity, and financial behavior. Each row represents an individual, detailing their <b>age</b> and <b>gender</b> alongside behavioral measures. The <b>Mood_Frequency</b> column reflects how often individuals experience moods that may influence their decision-making processes. The <b>Reward_Pursuit</b> column indicates how frequently they seek rewards, potentially on a numerical scale, with higher values representing a stronger tendency to pursue rewards. <b>Impulsivity</b> captures general impulsive behavior, while <b>Decision_Consistency</b> assesses how consistently individuals make decisions over time. The dataset also measures <b>Risk_Tolerance</b>, showing each person's comfort level with taking risks, and <b>Impulsive_Finance</b>, which reflects the frequency of impulsive financial decisions. <b>High_Risk_Decisions</b> might capture either a date or frequency of engaging in high-risk choices, potentially for tracking behavioral patterns over time.In addition, the dataset records the speed and duration of <b>Satisfaction</b> post-decision, indicating how quickly participants feel satisfied and how long the satisfaction lasts. <b>Pursuit_Next_Reward</b> measures the time it takes for individuals to seek the next reward after achieving satisfaction, reflecting reward-seeking behavior. <b>Review_Adjust_Finance</b> shows how often participants review and adjust their financial strategies, while <b>Decision_Preference</b> describes whether their financial decisions are impulsive or carefully considered. Finally, <b>Confidence_Financial_Decisions</b> captures their self-reported confidence in making financial choices, likely on a scale where higher values represent greater confidence. Overall, the dataset provides a comprehensive view of how personality traits, mood, and impulsivity interact with financial behaviors and decision-making processes.