Visualization

Information Visualization

Information visualization is the practice of providing a computer program with a set of instructions for abstracting and perceiving large amounts of inherently non-spatial, unstructured, complex data, with the goal of converting raw information into visual form and actionable insights.

Data Visualization

Data visualization and familiarity with visualization tools is a very important part of dataset analysis.

The Goal of Data Visualization

The goal of data visualization in quantitative and qualitative data analysis is not simply to summarize it in the form of a few charts and images, but rather to analyze this data based on visualization in order to:

• Present data-driven results that lead to a better understanding of the problem
• Ultimately lead to decision-making based on analysis of raw data after clarification

Benefits of Visualization

• Better understanding of hidden patterns and trends in data
• Identification of outliers and anomalies
• Effective presentation of analysis results to audiences
• Support for data-driven decision making