Data Cleaning, Preprocessing, and Visualization

Dataset Overview

Step 1: Initial Data Exploration

• 🔹 Shape of the Dataset
• 🔹 Summary Statistics
• 🔹 Data Types
• 🔹 Missing Value Detection

Step 2: Categorical Feature Encoding

• 🔹 Label Encoding
• 🔹 One-Hot Encoding

Step 3: Correlation Analysis

• 🔹 Correlation Matrix
• 🔹 Heatmap Visualization
• 🔹 Interpret Strong Positive, Negative, and Zero Correlations

Step 4: Feature Scaling

• 🔹 StandardScaler
• 🔹 MinMaxScaler
• 🔹 Comparison of Scaled vs Original Features

Step 5: Data Visualization

• 🔹 Count Plots (Gender, Department)
• 🔹 Boxplot (e.g., Salary by Department)
• 🔹 Histograms (Age, Salary, Experience)
• 🔹 Pairplot
• 🔹 Line Plot (Scaled vs Original Features)
• 🔹 Timeline Bar Chart (Joining Date)