Application of exploratory data analysis in the mineral processing 探索性数据分析在选矿中的应用
Exploratory data analysis 探索性数据分析
Exploratory data analysis is a copious kind of method to investigate in detail a cluster of data 探索性数据分析提供了丰富多采的详细考究一组数据方法。
Exploratory data analysis separates pattern and characteristic from data and shows powerfully them to the analyst 探索性数据分析分离出数据的模式和特点,把它们有力地显示给分析者。
This paper discusses how to use exploratory data analysis , specialy stem - and - leaf diagram , to monitor economic statistical data quality 摘要本文就探索性数据分析方法特别是茎叶图法如何应用于统计汇总数据质量控制进行了探讨。
In statistics, exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics in easy-to-understand form, often with visual graphs, without using a statistical model or having formulated a hypothesis. Exploratory data analysis was promoted by John Tukey to encourage statisticians visually to examine their data sets, to formulate hypotheses that could be tested on new data-sets.