Data Interpretation (DI) refers to analyzing structured information presented in visual formats—such as tables, bar graphs, pie charts, or line diagrams—to derive meaningful insights. Data interpretation is a crucial aspect of data analysis and enables organizations to turn large amounts of data into actionable insights. The guide covered the definition, importance, types, methods, benefits, process, analysis , tools, use cases, and best practices of data interpretation . Data Interpretation questions and answers section on "Table Charts" for placement interviews and competitive exams: Fully solved Data Interpretation problems with detailed answer descriptions and explanations are given for the "Table Charts" section.
