1. It transforms raw data into visual formats such as charts, graphs, maps, and diagrams.
2. This allows users to identify patterns, trends, and insights that might be difficult to discern from text-based data alone.

Two-Dimensional Visualization

Examples of 2D-Visualization

Scatter Plots

1. Scatter plots are used to visualize the relationship between two variables.
2. Each point on the plot represents a pair of values, with the x-axis representing one variable and the y-axis representing the other.

Heat Maps

1. Heat maps use color to represent the values of a matrix or grid of data.
2. Each cell in the grid is colored based on its value, with darker colors representing higher values and lighter colors representing lower values.

Bar Charts

1. Bar charts are used to compare the values of different categories.
2. Each bar represents a category, with the height of the bar corresponding to its value.

Pie Charts

1. Pie charts are used to show the proportion of different categories in a whole.
2. Each slice of the pie represents a category, with the size of the slice corresponding to its proportion.