Data Visualization Process
The process of data visualization involves transforming raw data into visual representations, such as charts, graphs, and maps, to make complex information more easily understandable and accessible. This process typically includes data collection, data cleaning and preparation, choosing appropriate visualization techniques, designing the visual elements, and interpreting the results to gain insights and make informed decisions. By effectively visualizing data, patterns, trends, and relationships can be identified, leading to improved communication, problem-solving, and decision-making.