Data Visualization Mastery Capstone Suite
The Data Visualization Mastery project is a dedicated capstone suite documenting practical data visualization techniques using Python, Matplotlib, and Pandas.
It provides runnable Python scripts, interactive Jupyter notebooks, custom figure layouts, statistical distributions, and comparative charts.
⚡ Core Highlights & Capabilities
- Categorical & Numerical Plotting: Multi-bar charts, histograms, kernel density estimation plots, and scatter plots.
- Object-Oriented Figure Layouts: Custom subplots utilizing
plt.subplots()for multi-panel dashboards. - Visual Styling & Customization: Clean gridlines, custom color palettes, annotated data callouts, and formatted axes.
- Exploratory Data Analysis (EDA): Correlation heatmaps, trendlines, and outlier identification.
🔗 Repository & Reference Links
- GitHub Repository: github.com/nischalneupanee/data-visualization-mastery
- Study Note: Read the accompanying technical note [Data Visualization with Matplotlib & Pandas: Fundamentals & Practice].