What is Exploratory Data Analysis? Steps & Examples

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Nicolas Azevedo
Data Scientist and Machine Learning Engineer
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Originally published on Jun 10, 2021Last updated on Jul 21, 2023

Key Takeaways

What is exploratory data analysis explain with an example?

Exploratory Data Analysis (EDA) in Data Science is a step in the analysis process that uses several techniques to visualize, analyze, and find patterns in the data. John Turkey, who developed the EDA method, likened it to detective work because you have to dig for clues and evidence before making any assumptions about the outcome. 

How do I start analyzing data?

Univariate Analysis is the simplest form of data analysis. 'Uni' refers to analyzing one individual attribute to understand the position of the data in the dataset by the central tendency measures and the sparseness of that data by the dispersion measures. This includes analyzing, mode, median, mean, and quantile and dispersion measures like variance, standard deviation, amplitude, Interquartile range, and coefficient of variation.

Is exploratory data analysis Qualitative or quantitative?

It can be both depending upon your dataset or the research you're using.