AD-703 (A) RGPV B.Tech
Data Visualization (DV)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
1 paper, latest Dec 2024
Syllabus, notes and important questions for AD-703 (A)
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction to Data Visualization 7 topics
- Overview of data visualization
- Definition of data visualization
- Significance in AI and Data Science
- Principle of Data Visualization
- Methodology
- Applications
- Data pre‑processing for visualization: extraction, cleaning, transformation, aggregation, data integration, data reduction
Unit 2 Data Visualization Techniques 9 topics
- 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
- Color maps and contouring height plots
- Vector visualization techniques: vector properties, vector glyphs, vector colour coding, stream objects
- Exploratory Data Analysis (EDA) techniques
Unit 3 Data Visualization Tools 6 topics
- 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 4 Visualizing Multidimensional Data 4 topics
- 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 5 Advancements in Data Visualization 8 topics
- Time‑Series data visualization
- Big data visualization
- Text data visualization
- Multivariate data visualization
- Storytelling with data
- Dashboard creation
- Ethical considerations in data visualization
- Case studies for finance, marketing, and healthcare