How does 'questioning' in the EDA process differ from 'concluding'?
- Questioning involves data cleaning while concluding involves data visualization.
- Questioning involves defining variables, while concluding focuses on outlier detection.
- Questioning is about data transformation, while concluding is about hypothesis testing.
- Questioning sets the analysis goals, while concluding involves drawing insights from the explored data.
In the EDA process, questioning is the stage where the goals of the analysis are set. These are typically in the form of questions that the analysis aims to answer. On the other hand, concluding involves drawing meaningful insights from the data that have been analyzed in the explore phase. This could involve formal or informal hypothesis testing and aids in shaping subsequent data analysis steps, reporting, or decision-making.
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