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AD-703 (A) Data Visualization Notes

5 notes for Data Visualization, unit by unit.

Unit 4 · Short notes Visualizing Multidimensional Data Multivariate visualization techniques: parallel coordinates, scatter plot matrices · Dimensionality reduction techniques: Principal Component Analysis (PCA), t‑Distributed Stochastic Neighbor Embedding (t‑SNE) · Clustering and classification visualizations: dendrograms, decision trees, confusion matrices · High‑dimensional data visualizations: glyph‑based visualization, dimension stacking
Unit 1 · Short notes Introduction to Data Visualization Overview of data visualization · Definition of data visualization · Significance in AI and Data Science · Principle of Data Visualization · Methodology · Applications
Unit 2 · Short notes Data Visualization Techniques Pixel‑oriented visualization techniques · Geometric projection visualization techniques · Icon‑based visualization techniques · Hierarchical visualization techniques · Visualization of complex data and relations · Scalar and point techniques
Unit 3 · Short notes Data Visualization Tools Basic and advanced charts and graphs: bar charts, line charts, scatter plots, histograms, heat maps · Geospatial visualization: maps, choropleth maps, geospatial heat maps · Network visualization: node‑link diagrams, force‑directed graphs · Interactive visualization: interactivity and user‑engagement techniques · Programming libraries for data visualization: Matplotlib, Seaborn, Plotly · Data visualization tools: Tableau, visualization using R
Unit 5 · Short notes Advancements in Data Visualization Time‑Series data visualization · Big data visualization · Text data visualization · Multivariate data visualization · Storytelling with data · Dashboard creation

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