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    Exploring GDP Deflator in the Top Ten Agriculture Producing States in the U.S. from 2000 to 2017 using Data Science

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    Author
    KATARIA, Radhika
    Keyword
    First Reader Irina R. Shablinsky
    Senior Project
    Semester Spring 2019
    Readers/Advisors
    Shablinsky, Irina
    Term and Year
    Spring 2019
    Date Published
    2019
    
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    URI
    http://hdl.handle.net/20.500.12648/14385
    Abstract
    As technology becomes more and more prevalent in everyday use, it is important to consider the benefits of it's uses to help solve problems. The field of agriculture requires technology to measure resources and its impacts on different sectors. By using applications of Data Science to study the GDP Deflator in American agriculture, we can measure the growth of the Deflator to study the economic effects of farming.  In this paper I studied the GDP Deflator in American agriculture using applications of data science, specifically focusing on 10 specific states that had the largest farming production in 2017. Data Science can analyze certain economic trends and can help identify the growth of GDP. This paper will examine the top ten states with the biggest agricultural production in the U.S., to study the economic impact of farming and growth of the GDP Deflator from 2000 to 2018 in the United States. I'm writing this paper because I believe that farming is an important source of income for a nation, and I believe that it deserves more emphasis on it's economic development.
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