FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

Detailed explanation-2: -A: The visualization techniques include Pie and Donut Charts, Histogram Plot, Scatter Plot, Kernel Density Estimation for Non-Parametric Data, Box and Whisker Plot for Large Data, Word Clouds and Network Diagrams for Unstructured Data, and Correlation Matrices.

Detailed explanation-3: -A scatter plot displays data for two variables as represented by points plotted against the horizontal and vertical axis. This type of data visualization is useful in illustrating the relationships that exist between variables and can be used to identify trends or correlations in data.

Detailed explanation-4: -The relationship diagram arranges items in your data based on the relationships between them in a freeform graph. Use it to discover unexpected links, group data into clusters according to their relationships, or add additional details or quantitative data (measures) on top of the structure it displays.