# Exploratory Data Analysis

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/exploratory-data-analysis

Exploratory Data Analysis (EDA) is the process of summarizing, visualizing, and probing a dataset's main characteristics—distributions, outliers, correlations, and missing values—before formal modeling or hypothesis testing. Data scientists and analysts use tools like pandas, matplotlib, or R to perform EDA as a first step in understanding data quality and generating hypotheses.

Related skills: [R](https://career.thegoodapps.co/skills/r), [Pandas](https://career.thegoodapps.co/skills/pandas), [Data Wrangling](https://career.thegoodapps.co/skills/data-wrangling), [Statistical Analysis](https://career.thegoodapps.co/skills/statistical-analysis), [Jupyter Notebook](https://career.thegoodapps.co/skills/jupyter-notebook), [Feature Engineering](https://career.thegoodapps.co/skills/feature-engineering), [Data Preprocessing](https://career.thegoodapps.co/skills/data-preprocessing), [Scatter Plots](https://career.thegoodapps.co/skills/scatter-plots), [Statistical Visualization](https://career.thegoodapps.co/skills/statistical-visualization)

## Open roles requiring Exploratory Data Analysis (0)

None of the roles we have read name this skill yet. A large share of the visible corpus has not been parsed for skills, so this is at least as likely to be our backlog as the market's verdict.