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Computer Science
Data Visualization
Data Visualization with Python
1. Introduction to Data Visualization
2. Setting Up the Python Environment
3. Foundational Plotting with Matplotlib
4. Statistical Visualization with Seaborn
5. Interactive Visualization with Plotly
6. Geospatial Data Visualization
7. Specialized Visualization Libraries
8. Data Storytelling and Design Principles
9. Performance Optimization and Best Practices
Specialized Visualization Libraries
Network Visualization with NetworkX
Graph Theory Basics
Nodes and Edges
Directed vs Undirected Graphs
Weighted Graphs
Graph Properties
Creating and Manipulating Graphs
Graph Construction
Adding and Removing Elements
Graph Algorithms
Network Visualization
Layout Algorithms
Spring Layout
Circular Layout
Hierarchical Layout
Random Layout
Node and Edge Styling
Interactive Network Plots
High-Performance Visualization
Datashader for Large Datasets
Data Aggregation Pipeline
Canvas and Glyphs
Color Mapping
Interactive Integration
Bokeh for Web-Based Visualization
Bokeh Server Applications
Widget Integration
Streaming Data
HoloViews for Declarative Visualization
Element Types
Dimension Mapping
Backend Integration
Specialized Plot Types
Financial Data Visualization
Candlestick Charts
OHLC Charts
Volume Plots
Scientific Visualization
Contour Plots
Vector Field Plots
Phase Diagrams
Text and Document Visualization
Word Clouds
Text Networks
Document Clustering Visualization
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6. Geospatial Data Visualization
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8. Data Storytelling and Design Principles