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Data exploration and visualization

Data exploration is the first step in data analysis involving the use of data visualization tools and statistical techniques to uncover data set characteristics and initial patterns. During exploration, raw data is typically reviewed with a combination of manual workflows and automated data-exploration techniques to visually explore data sets, look for similarities, patterns, and outliers, and to identify the relationships between different variables. Data visualization is the practice of translating information into a visual context, such as a map or graph

Introduction

During data exploration, raw data is typically reviewed with a combination of manual workflows and automated data-exploration techniques to visually explore data sets, look for similarities, patterns, and outliers, and to identify the relationships between different variables.
Data visualization is the practice of translating information into a visual context, such as a map or graph.

source: https://www.techtarget.com/searchbusinessanalytics/definition/data-exploration

Outgoing relations

Incoming relations

  • EDA is a kind of Data exploration and visualization
  • ESDA is a kind of Data exploration and visualization