Data Visualization (AD-703 (A)) - Important Questions

Explain aggregation and data integration in visualization with an example.

Explain how to find missing values in heterogeneous data using k-nearest neighbors.

Explain different techniques for visualizing complex data with help of example.

Briefly explain pixel-oriented visualization techniques and discuss its benefits.

Discuss exploratory data analysis (EDA) techniques with the help of suitable examples.

Explain the need for geospatial visualization. List five applications where geospatial visualization is required.

Write code to plot a line chart to depict the run rate of a cricket match from given data using Matplotlib.

Explain node-link diagram and force-directed graphs for network visualization.

Explain t-Distributed Stochastic Neighbor Embedding (t-SNE) technique with suitable example.

What do you mean by confusion matrix? Explain step by step how you will calculate confusion matrix with the given data set?

For a given data = {2, 3, 4, 5, 6, 7 ; 1, 5, 3, 6, 7, 8}, compute the principal component using PCA algorithm.

What is big data analysis? Explain how it will help in data visualization.

How can we effectively visualize the text data? Explain with help of the example.

Explain step by step process of a dashboard creation in Tableau.

Write a short note on any two of the following.