International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Big data Analysis using Python in Agriculture Forestry and Fisheries

  • Kim, So hee (Department of Medical IT Marketing, Eulji University) ;
  • Kang, Min Soo (Department of Medical IT Marketing, Eulji University) ;
  • Jung, Yong Gyu (Department of Medical IT Marketing, Eulji University)
  • Received : 2015.12.22
  • Accepted : 2016.02.03
  • Published : 2016.03.31
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Abstract

Big Data is coming rapidly in recent times and keep the vast amount of data was utilized them. These data are utilized in many fields in particular, based on the patient data in the medical field to increase the therapeutic effect, as well as re-incidence to better treatment, lowering the readmission rates increased the quality of life. In this paper it is practiced to report basis of the analysis and verification of data using python. And it can be analyzed the data through a simple formula, from Select reason of Python to how it used; by Press analysis of Agriculture, Forestry and Fisheries research. In this process, a simple formula can be used that expression for analyzing the actual data so it taking advantage of the use of functions in real life.

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