Examples of using Exploratory data analysis in English and their translations into Chinese
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Teaches fundamentals of exploratory data analysis and real property valuation.
Exploratory data analysis(EDA) is the first step in the data analysis process.
探索性数据分析(EDA)是数据项目的第一步。How would you do an Exploratory Data Analysis(EDA)?
如何开展探索性数据分析（EDA）？?Exploratory data analysis: where new features in the data are discovered.
探索性数据分析，侧重于在数据中，发现新的特征。Why exploratory data analysis is a key preliminary step in data science.
为什么探索性数据分析是数据科学的关键步骤.Why exploratory data analysis is a key preliminary step in data science.
为什么探索性数据分析是数据科学关键的第一步.We start with the first step of data analysis- the exploratory data analysis.
先来看一看数据分析过程中的关键步骤-探索性数据分析。It is used mainly in exploratory data analysis and to build predictive models.
主要用于探索性数据分析，以及构建预测模型。There are tools for exploratory data analysis, statistical learning, machine learning and databases area.
有探索性数据分析，统计学习，机器学习和数据库领域的工具。Which is EDA or exploratory data analysis, is like the brainstorming stage of machine learning.
EDA或探索性数据分析是机器学习的头脑风暴阶段。It provides exploratory data analysis, link analysis, social network analysis, biological network analysis, etc.
可用作探索性数据分析、链接分析、社交网络分析、生物网络分析等。You can perform exploratory data analysis to spot trends, test assumptions and develop descriptive models.
您可以执行探索性数据分析，探明趋势，检验假设，并构建描述模型。Orange's graphical user interface enables users to focus on exploratory data analysis instead of coding.
Orange的图形用户界面让用户能够专注于探索性数据分析，而不是编写代码。Exploratory Data Analysis: This unit is organized into two sections- Examining Distributions and Examining Relationships.
探索性数据分析：这个单元分为两个部分--分布检查分布和关系检查。Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set.
探索性数据分析是一种总结和直观呈现数据集重要特性的方法。I have written this article to help you acknowledge various free tools available for exploratory data analysis.
我写这篇文章是为了帮助你们了解可用于探索性数据分析的各种免费工具。The data are then sanitized and transformations are applied to make them available to support exploratory data analysis.
然后对数据进行清理，并应用转换使其可用来支持探索性数据分析。Data mining is a field of study within machine learning, focuses on exploratory data analysis through unsupervised learning.
An example exploratory data analysis lifecycle(what you will do every time you encounter a new dataset).
一个探索性数据分析生命周期的例子（每次遇到新数据集时需要做什么）。Furthermore, if you want a framework for data visualization and exploratory data analysis, you will find STDLib worthwhile.
除此之外，如果你想要一个数据可视化和探索性数据分析的框架--STDLib，你，值得拥有。
