💎 Diamonds Dataset Visualization

An exploratory data analysis (EDA) project on the popular diamonds dataset to uncover insights about diamond pricing and quality factors.

📊 Dataset

• Features: carat, cut, color, clarity, depth, table, price, dimensions (x, y, z)
• Rows: 50,000+ diamonds

📈 Visualizations

• Scatter plots (Carat vs Price, with Cut & Color as hue)
• Histograms & Boxplots (Price, Carat, grouped by Cut)
• Bar plots (Average Price by Cut)
• Pie chart (Distribution of Cut)
• Heatmaps (Correlation matrix of numeric features)
• Pairplots (relationships between features)

🛠 Tools

• Python, Pandas, Matplotlib, Seaborn

🚀 Key Takeaways

• Carat strongly correlates with price
• Diamond cut and color significantly impact pricing
• Advanced visualization styles (whitegrid, dark, talk) were used for better insights