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Extrovert and Introvert Personality Traits Dataset
Mental Health & Wellness
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About
Brief Description
Extrovert vs Introvert Personality Traits Dataset, a rich collection of behavioural and social data designed to explore the spectrum of human personality. This dataset captures key indicators of extroversion and introversion, making it a valuable resource for psychologists, data scientists, and researchers studying social behaviour, personality prediction, or data preprocessing techniques. Personality traits like extroversion and introversion shape how individuals interact with their social environments. This dataset provides insights into behaviours such as time spent alone, social event attendance, and social media engagement, enabling applications in psychology, sociology, marketing, and machine learning.
Columns
- Time_spent_Alone: Represents hours spent alone daily
- Stage_fear: Indicates the presence of stage fright, a binary variable (Yes/No).
- Social_event_attendance: Measures the frequency of attending social events
- Going_outside: Denotes the frequency of going outside
- Drained_after_socializing: Captures whether an individual feels drained after socialising, a binary variable (Yes/No).
- Friends_circle_size: Indicates the number of close friends
- Post_frequency: Reflects social media post frequency
- Personality: This is the target variable, classifying individuals as either "Extrovert" or "Introvert".
Distribution
The dataset contains 2,900 rows and 8 columns. It is provided as a single CSV file, compatible with various data analysis tools like Python and R. The data quality notes indicate that the dataset includes some missing values in columns such as 'Time_spent_Alone' and 'Going_outside', offering opportunities for data cleaning practices like imputation and preprocessing. It also features balanced classes for the 'Personality' target variable, ensuring robust model training, and binary categorical variables that simplify encoding tasks.
Usage
This dataset is ideal for a variety of applications and use cases:
- Building machine learning models to predict personality types.
- Analysing correlations between social behaviours and personality traits.
- Exploring social media engagement patterns.
- Practising data preprocessing techniques such as imputation and encoding.
- Creating visualisations to uncover behavioural trends.
Coverage
This dataset focuses on human personality, specifically the spectrum of extroversion and introversion, through behavioural and social data. It provides insights into how individuals interact with their social environments. Specific geographic or time range coverage is not detailed in the provided information.
License
CC BY-SA 4.0
Who Can Use It
This dataset is a valuable resource for:
- Psychologists: For studying social behaviour and personality theories.
- Data Scientists: For personality prediction, data preprocessing, and building machine learning models.
- Researchers: Engaged in social behaviour, personality analysis, sociology, and marketing studies.
- Students and Educators: For learning and practising data analysis, machine learning, and statistical methods in the context of behavioural data.
Dataset Name Suggestions
- Extrovert vs. Introvert Personality Traits Dataset
- Human Personality Behaviour Data
- Social Behaviour and Personality Dataset
- Introversion Extroversion Analysis Data
- Behavioural Personality Indicators
Original Data Source: Extrovert vs. Introvert Behavior Data
QUALITY