Personality Traits Survey Analysis

🔍 Dataset Name

   Dataset.csv

📌 Objective

To analyze relationships between personality types and behavioral traits such as stage fear and social exhaustion, using statistical and visual exploration methods.

 

🧾 Dataset Description

Column Name

Description

Personality

Categorical value representing personality type (e.g., Introvert, Extrovert)

Stage_fear

Yes/No response indicating whether the respondent has stage fear

Drained_after_socializing

Yes/No response indicating if the respondent feels drained after socializing

(Optional additional fields)

Can include other numeric or categorical traits (e.g., age, gender, etc.)

 

🔄 Preprocessing Steps

Binary Encoding
The Yes/No responses were mapped to numeric values to enable correlation and aggregation:


df['Stage_fear'] = df['Stage_fear'].map({'Yes': 1, 'No': 0})

df['Drained_after_socializing'] = df['Drained_after_socializing'].map({'Yes': 1, 'No': 0})

  •  

 

📈 Analysis & Visualizations

1. Grouped Mean by Personality

 

grouped = df.groupby('Personality').mean()

 

  • This computes the average value of each numeric column per personality type.
     
  • It gives insights such as:
    ➤ What percentage of introverts have stage fear?
    ➤ Do extroverts report lower exhaustion after socializing?
     

 

2. Bar Plot of Averages by Personality

 

grouped.plot(kind='bar', figsize=(12, 6))

 

  • Visualizes how traits like Stage_fear or Drained_after_socializing vary across personality types.
     
  • Example Insight: "Introverts average 0.85 for stage fear, while extroverts average 0.2."
     

 

3. Count Plot of Personality Types

 

sns.countplot(x='Personality', data=df)

 

  • Displays the distribution of respondents by personality type.
     
  • Useful for understanding sample balance.
     

 

4. Heatmap of Correlations

sns.heatmap(df.corr(numeric_only=True), annot=True, cmap='coolwarm', fmt=".2f")

 

  • Shows pairwise correlations between numeric features.
     
  • Key insights:
     
    • Strong correlation between Stage_fear and Drained_after_socializing?
       
    • Are certain traits inversely correlated?
       

 

5. Pair Plot by Personality (Optional Deep Dive)

sns.pairplot(df, hue='Personality')

 

  • Visualizes pairwise relationships between multiple features.
     
  • Colored by personality type, useful for clustering behavior.


 

Google Collab: Personality Trait