Summary Of The Book:
Data forms the basis of all information, and all work depends on information. Information is interpreted data. For information to be useful, the data has to be accurate, and this accurate data has to be understood and interpreted correctly. Although all forms of work revolve around data, certain jobs like clerical, accounting and managerial tasks depend heavily on data and its interpretation. So any test that examines the candidate’s aptitude for these positions should take into account the candidate’s ability to understand data. An Advanced Approach To Data Interpretation helps candidates acquire these very skills. Data can be presented in various forms. It can be presented in tabular form. It can be plotted into charts. The charts may be of various types - bar graphs, line graphs, and pie charts. All these formats can help in presenting the same data in many different ways. Each data set might provide a lot of information on the subject that it represents, if interpreted carefully.
Anyone who has to deal with a lot of data has to be able to understand all these representations and translate them into meaningful information. An Advanced Approach To Data Interpretation helps readers do that by explaining and exploring various data representations like data tables, pie charts, line graphs, and bar graphs.
About R.S. Aggarwal:
R.S. Aggarwal is a reputed Indian author, well-known in the guidebook niche.
Some of his books are Quantitative Aptitude For Competitive Examinations, A Modern Approach To Logical Reasoning, A Modern Approach To Verbal & Non-Verbal Reasoning, Objective General English, and Advanced Objective General Knowledge.He has written many books pertaining to common entrance exams, both academic and job related exams. These include books on data interpretation, quantitative aptitude, reasoning abilities, and language skills. R.S. Aggarwal has a post-graduate degree in mathematics and has worked as a teacher. He has had a lot of experience explaining various concepts and theories to students.
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