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.
Manage your research, notes and academic references all in one place with Notion Being an avid researcher with several scientific conference publications, a journal article and
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Scatter plots are a commonly used data visualisation tool within data science. They allow us to plot two numerical variables, as points, on a two