How does the 'explore' step in the EDA process aid in hypothesis generation?
- It aids in cleaning and transforming data.
- It helps in communicating the findings to stakeholders.
- It helps in defining the questions for analysis.
- It uncovers patterns, trends, relationships, and anomalies in the data.
The explore phase in the EDA process involves analyzing and investigating the data using statistical techniques and visualization methods. This step uncovers patterns, trends, relationships, and anomalies in the data, which can help in forming or refining hypotheses that could be formally tested in subsequent analysis steps.
Loading...
Related Quiz
- What is the importance of understanding data distributions in Exploratory Data Analysis?
- What is the impact on training time if missing data is incorrectly handled in a large dataset?
- The removal of outliers can lead to a reduction in the ________ of the data set.
- In what scenarios would it be more appropriate to use Kendall's Tau over Spearman's correlation coefficient?
- In a situation where the initial 'questioning' phase did not yield actionable insights, what might be the next step in the EDA process?