APPLICATION OF BIG DATA VISUALIZATION WITH AGRICULTURAL VALUE-ADDED OF ALL COUNTRIES
Abstract
In recent years, especially with the developing technology, the concept of "big data" has emerged and it has become very important to analyse big data in both academic and sectoral studies. "Big data visualization" is a valuable and useful method in order to make it easy to understand information, and even interpretation by decision-makers who are not experts in data analysis. The agricultural sector, which is important for all humanity and plays an important role in the world economy, is a sector that needs to be examined and developed. With this study, the visualization of the agricultural value-added percentages of the countries between 1960 and 2016 in the world has been carried out. With this visualization, the most influential and non-influential countries in agriculture and changes of their value added percentage over the years can be examined with an interactive map. In order to make this study, all the steps in visualization of big data have been applied and it is aimed to be a case study for the studies of big data visualization studies which are still very rare in the literature.
Keywords
Data Visualization,Big Data,Agricultural Value Added,Choropleth Map
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