Top Rated Data Interpretation Books for competitive exams
Accredited Guide to Data Interpretation and Data Sufficiency
Data Interpretation is the major factor of Quantitative Aptitude in any question paper which basically shows how data can be represented, analyzed & decoded. The Data Interpretation section can be divided into 2 key areas- i.e. Data Interpretation & Data Sufficiency. DI tests your decision-making ability and speed using limited input. It consists of a myriad of graphs, charts and tables from which you have to glean and analyze data. DS problems usually take the form of a logical puzzle, and in the form of question followed by two statements.
This book is the source to get the concepts related to various topics which will help in going through the examination. It also includes the basic concepts behind the questions, asked in different examinations and makes your better practice to solve the problems.
This book has been prepared after a comprehensive research on the teachers who are involved in teaching of DI/DS, problems generally faced by students and on the basis of question paper pattern of different examinations.
Total Pages: 303 pages
Publisher: Arihant; 2012 edition (2012)
How to Prepare for Data Interpretation for CAT
Data Interpretation (DI) forms a critical part of the CAT paper. It is essential for aspirants to develop skills in DI to the level where they can comfortably attempt questions based on this topic. Data Interpretation also forms an important part of other MBA entrance examinations of this nature. How to Prepare for Data Interpretation for the CAT by Arun Sharma is a comprehensive text on this subject by someone who is an authority on all subjects of the CAT. The author has ensured that all possible question types of the examination are covered in the book.
The Book is also useful for other MBA Entrance Examinations such as XAT, IIFT, SNAP, CMAT, NMAT etc. and other aptitude tests.
Total Pages: 792 pages
Publisher: McGraw Hill Education; 3 edition (27 July 2015)
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An Advanced Approach to Data Interpretation
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.
Total Pages: 153 pages
Publisher: S Chand (1986)
Data Interpretation & Data Sufficiency for CAT/ XAT/ IIFT/ CMAT/ MAT/ Bank PO/ SSC
The book covers all the aspects of Data Interpretation & Data Sufficiency. The book is divided into 5 chapters. Each chapter describes the concepts related to the chapter along with numerous Solved Examples. The theory portion is followed by 5 levels of exercises in each chapter: 1. Concept Applicator 2. Concept Builder 3. Concept Cracker 4. Concept Deviator 5. Concept Eliminator The past questions of major exams like CAT/ XAT/ IIFT/ SNAP are covered in the book. TABLE OF CONTENTS Ch 1- Line Graph Ch 2:- Data Table Ch 3:- Bar Graph Ch 4:- Pie Chart Ch 5:- Mix Chart Ch 6:- Data Sufficiency
Total Pages: 224 pages
Publisher: Disha Publication; 1 edition (26 April 2015)
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