Which phase of data analysis does EDA typically precede?
- Data Cleaning
- Data Gathering
- Data Modelling
- Data Visualization
In the data analysis pipeline, EDA typically precedes Data Modelling. EDA offers a critical foundation before moving on to the modeling phase. It allows for in-depth understanding of data, recognition of key trends, identification of outliers and anomalies, and discovery of underlying patterns and relationships. This knowledge informs the choice of the most appropriate data models and validates their assumptions.
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