Data Analysis Tools and Approaches (DATA) in Agricultural Sciences
Sendhil R, Anuj Kumar, Satyavir Singh, Ajay Verma, Karnam Venkatesh and Vikas Gupta (2017). Data Analysis Tools and Approaches (DATA) in Agricultural Sciences. ICAR-Indian Institute of Wheat and Barley Research. pp 1-126. ISBN: 978-93-5300-510-8 . DOI: 10.13140/RG.2.2.28187.57125
133 Pages Posted: 2 Jun 2021
Date Written: March 4, 2017
Data analysis is an ever-evolving subject and is of utmost importance and priority for research as well as researcher. It encompasses inspection, coding, transformation, and modelling to draw scientific conclusions. In the recent past, data mining and use of quantitative techniques has been widely used across disciplines. Methodology is an essential part of the research and data analysis helps in structuring the meaningful insights from diverse sources of data viz., survey, experimental and observational. Hence for good results, proper data collection and analysis becomes significance and crucial in providing a meaningful base to critical decisions. In the context, the book contains the chapters of data analysis tools and approaches widely used in Agricultural Sciences. It will serve as a guide for students and early career researchers.
Keywords: Data Analysis, Big Data, Social Sciences, Data, Analytical Methods, Analytical Tools, Methodology
JEL Classification: C10, C13, C18, B41, C02, C43, C83
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