| A complete step-by-step exploratory data analysis with simple explanation.

A monitor showing patient’s ECG
Photo by Jair Lázaro on Unsplash

Motivation

  • Exploratory Data Analysis (EDA) is a pre-processing step to understand the data. There are numerous methods and steps in performing EDA, however, most of them are specific, focusing on either visualization or distribution, and are incomplete. Therefore, here, I will walk-through step-by-step to understand, explore, and extract the information from…

Automated exploratory data analysis using Pandas Profiling in Jupyter on Google Colab.

Image combined by Author, taken from GitHub and Reconstrue Brightfield on Colab

However, pandas_profiling cannot be straightforwardly used on Colab. The code will result in an error, as below;

Aishah Ismail

Data Scientist | Statistics | Machine learning | STEM | https://www.linkedin.com/in/aishah-ismail/

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