In this short Python EDA tutorial, we will cover the use of an excellent Python library called Pandas Profiling. This library helps us carry fast and automatic EDA on our dataset with minimal lines of code.
Exploratory Data Analysis (EDA) is an important and essential part of the data science and machine learning workflow. It allows us to become familiar with our data by exploring it, from multiple angles, through statistics, data visualisations, and data summaries. This helps discover patterns in the data, spot outliers, and gain a solid understanding of the data we are working with.
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