Data Visualization Techniques
Data Visualization is essential for interpreting and communicating findings. Common visualization techniques include:
- Bar Charts and Line Graphs – Used to show trends and comparisons over time.
- Scatter Plots – Displays relationships between two numerical variables.
- Heatmaps – Helps identify patterns and correlations in large datasets.
- Pie Charts and Donut Charts – Represent categorical data distributions.
Popular tools for visualization include Tableau, Power BI, Matplotlib, and Seaborn.
