Data visualization is the graphical representation of data and information using visual elements such as charts, graphs, and maps. It involves converting complex datasets into easy-to-understand visual formats, making it easier for users to comprehend trends, patterns, and insights hidden within the data.

Data visualization is a crucial tool in various fields including business, science, healthcare, finance, and more, aiding in decision-making processes, communication of findings, and identification of actionable insights.

Data visualization transforms raw data into visual elements such as bars, lines, dots, bubbles, and shapes, allowing users to perceive information more effectively than raw numbers or text.

There are various types of data visualizations, each suited to different types of data and analytical tasks. Common types include bar charts, line graphs, pie charts, scatter plots, heatmaps, histograms, and geographical maps.

Data visualization facilitates the discovery of patterns, trends, correlations, and outliers within datasets that might not be immediately apparent from examining raw data. It helps users gain valuable insights and make informed decisions.