基于R的时间序列数据可视化研究

Eunmi Jung, A. Kim, Hyenki Kim
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引用次数: 0

摘要

随着最近数据量的增加,人们对大数据技术的兴趣越来越大,对大数据处理结果可视化的技术也越来越感兴趣。绝大多数人接受视觉信息比接受文字信息要快。因此,可视化是大数据分析的重点。因此,该研究使用开源统计分析软件R程序检查了各种可视化方法。本研究探索了一种配置数据集的方法和一种使用R根据可视化方法实现各种图形的方法,通过数据的可视化来确定数据中的模式,并一目了然地了解数据的特征。通过这种方法,可以确定数据的特征,而这些特征仅通过简单的回归分析是不知道的,并且可以通过数据集的转换来显示数据,而不是按原样解释数据,可以通过各种方法将数据可视化,期望可以帮助用户做出各种决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on the Visualizing Time Series Data Using R
With the recent increase in data volume, there is a growing interest in Big Data technology and there is also a growing interest in techniques to visualize result of big data processing. The vast majority of people accept visual information more quickly than text. Therefore, visualization is the important thing to focus on regarding big data analysis. Therefore, the study examined various visualization methods using an open source statistical analysis software R program. The study explored a method to configure data sets and a method to implement various graphs according to visualization method using R to determine patterns in data and understand the characteristics of data at a glance through visualization of data. Through this, it was possible to determine characteristics of data that were not known only through simple regression analysis and through showing that rather than interpreting data as it is, it could be visualized in various methods through conversion of data sets, it is expected that it will help users to make various decisions.
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