What is the translation of " 探索性数据分析 " in English?

• exploratory data analysis

Examples of using 探索性数据分析 in Chinese and their translations into English

探索性数据分析，侧重于在数据中，发现新的特征。
Exploratory data analysis focuses on discovering new features of the data..

这是一项探索性数据分析，没有可用的标记数据。
This is an exploratory data analysis with no labelled data available.

探索性数据分析（EDA）是数据项目的第一步。
Exploratory data analysis(EDA) the very first step in a data project.

注意到，数据探索也称为探索性数据分析，.
Note that data exploration is also called exploratory data analysis.

主要用于探索性数据分析，以及构建预测模型。
It is used mainly in exploratory data analysis and to build predictive models.

如何开展探索性数据分析(EDA)?
What is exploratory data analysis(EDA)?

如何开展探索性数据分析（EDA）？?
How would you do an Exploratory Data Analysis(EDA)?

教探索性数据分析和不动产估价的基本原则。
Teaches fundamentals of exploratory data analysis and real property valuation.

探索性数据分析（EDA）是分析数据集以总结其主要特征的方法，通常使用可视化的方法。
Exploratory data analysis(EDA) is a technique that analyze data to recapitulate their major features, frequently with visual approaches.

探索性数据分析（EDA）是数据分析过程的第一部分。
Exploratory data analysis(EDA) is the first part of your data analysis process.

这称为探索性数据分析，通常关注变量之间的相关性。
This is called exploratory data analysis, and typically focuses on correlations among variables.

您可以使用不同的探索性数据分析和可视化技术来更好地理解您的数据集。
What you can do is to use different exploratory data analysis and visualization techniques to have a better understanding of your data set.

在统计应用中，数据分析可分为描述性统计，探索性数据分析（EDA）和验证性数据分析（CDA）。
In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis(EDA), and confirmatory data analysis(CDA).

在统计应用中，数据分析可分为描述性统计，探索性数据分析（EDA）和验证性数据分析（CDA）。
In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis(EDA), and confirmatory data analysis(CDA).

探索性数据分析（EDA）是数据分析过程的第一步。
Exploratory data analysis(EDA) is the first step in the data analysis process.

探索性数据分析（EDA）帮助我们认识底层的数据基结构及其动力学，以此来最大限度发掘出数据的可能性。
Introduction Exploratory Data Analysis(EDA) helps us to uncover the underlying structure of data and its dynamics through which we can maximize the insights.

在项目的早期阶段，你通常会进行探索性数据分析(EDA)以获取对数据的一些洞察。
In the early stages of a project, you will often be doing an Exploratory Data Analysis(EDA) to gain some insights into your data..

在项目的早期阶段，你通常会进行探索性数据分析（EDA），以获得对数据的一些见解。
In the early stages of a project, you will often be doing an Exploratory Data Analysis(EDA) to gain some insights into your data..

探索性数据分析（EDA）是数据项目的第一步。
Exploratory data analysis(EDA) is the first step of any data science project.

探索性数据分析（EDA）是分析数据集以总结其主要特征的方法，通常使用可视化的方法。
Exploratory data analysis(EDA) is an approach analyzing data sets to summarize their main characteristics, often with visual methods.

IoGAS是专为资源行业开发的领先的探索性数据分析软件应用程序。
IoGAS is a leading exploratory data analysis software application developed specifically for the resources industry.

最后一节涵盖了数据分析，numpy的和熊猫两种流行的Python包，以及包括探索性数据分析。
The last section covers two popular Python packages for data analysis, Numpy and Pandas, and includes an exploratory data analysis.

通过该二维图形库，用户可以生成各种清晰明了的图形，这对于探索性数据分析(EDA)是至关重要的。
It is a 2 Dimensional graphical library that produces clear and concise graphs that are essential for Exploratory Data Analysis(EDA).

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。
There are tools for exploratory data analysis, statistical learning, machine learning and databases area.

分析人员可以应用各种技术（称为探索性数据分析）来开始理解数据中包含的消息。
They may apply a variety of techniques referred to as exploratory data analysis to begin understanding the messages contained in the data.

Clusteranalysis(聚类分析):一种用于探索性数据分析的无监督学习，用于发现数据中的隐藏模式或分组;
Cluster analysis: A type of unsupervised learning used for exploratory data analysis to find hidden patterns or grouping in data;.

Shogun旨在面向广泛的特定类型和学习配置环境进行统一的大规模学习，如分类，回归或探索性数据分析。
Shogun is designed for unified large-scale learning for a broad range of feature types and learning settings, like classification, regression, or explorative data analysis.

机器学习有时与数据挖掘混为一谈，后者更侧重于探索性数据分析，被称为无监督学习。
Machine learning is sometimes conflated with data mining, where the latter subfield focuses more on exploratory data analysis and is known as unsupervised learning.

机器学习有时与数据挖掘相混淆，后者子领域更侧重于探索性数据分析，被称为无监督学习。
Machine learning is sometimes conflated with data mining, where the latter sub field focuses more on exploratory data analysis and is known as unsupervised learning.