What is the biggest challenge in the 'wrangle' phase of the EDA process?
- Communicating the insights
- Dealing with missing values and other inconsistencies in the data
- Defining the right questions
- Drawing conclusions from the data
The wrangling phase of the EDA process can be challenging as it involves dealing with various data quality issues. These can include missing values, inconsistent data entries, outliers, and other anomalies. The analyst might need to make informed decisions about how to handle these issues without introducing bias or distorting the underlying information in the data.
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