What is exploratory data analysis conceptually?

< 1 min read

Exploratory Data Analysis (EDA) is the process of examining data to understand patterns, trends, and anomalies.
It helps uncover insights before formal modeling or reporting.
In one project, I analyzed sales data to identify seasonal trends and outliers.
EDA included checking distributions, missing values, and correlations.
It guided decisions on data cleaning and dashboard design.
Visualization tools like charts and histograms were used to explore data.
As a BA, EDA helps validate assumptions and informs business decisions.
It ensures reports and models are built on accurate, meaningful data.

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