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Business Intelligence Career Master Plan
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Data exploration is a process in data analysis that involves investigating and summarizing the main characteristics of a dataset. The goal of data exploration is to gain a better understanding of the data, identify patterns and trends, and generate insights that can be used to inform further analysis or decision-making.
Traditionally, data exploration has some prerequisites: data cleaning, identifying and correcting any errors or inconsistencies in the data—such as missing values, duplicates, or outliers—data transformation, and sampling. This involves converting the data into a more suitable format for analysis, such as normalizing or standardizing the data, and reducing the computational complexity of the analysis or focusing on a specific subset of the data.
You may approach data exploration as an art, one that can take you on many paths and may have different purposes. If you want to know more about your data or you are presented with a completely...