Data Visualisation Questions
Data visualization in data science refers to the representation of data in a visual or graphical format. It involves the use of charts, graphs, maps, and other visual elements to present complex data sets in a more understandable and meaningful way. The main purpose of data visualization is to communicate insights, patterns, and trends that may be hidden within the data, making it easier for data scientists and decision-makers to analyze and interpret the information. By visually representing data, it becomes easier to identify correlations, outliers, and patterns, enabling better decision-making and data-driven insights.