Open map List

Explanatory Data Analysis (EDA)

Is an approach involving variety of techniques for summarizing data characteristics using statistical figures and visualizations.

Introduction

The end goal is to gain insights from the data
Basic steps involves cleaning of the data, preprocess, statistical analysis, and visualization.
Through these techniques data anomalies, trends and patterns in the data can be detected
Missing values and outliers can be detected during this process
During this process the relationship between data variables and hypothesis can be generated.

How to

https://builtin.com/data-science/exploratory-spatial-data-analysis-esda

https://geodacenter.github.io/workbook/3a_mapping/lab3a.html#extreme-value-maps

https://www.spatialanalysisonline.com/HTML/index.html?self_organizing_networks.htm

Outgoing relations

Explanatory Data Analysis (EDA) is a kind of Statistical Data analysis

Incoming relations

Exploratory Spatial Data Analysis is a kind of Explanatory Data Analysis (EDA)
Statistical Figures is part of Explanatory Data Analysis (EDA)
Statistical Visualizations is part of Explanatory Data Analysis (EDA)

Contributors

Calvin Samwel Swai