Exercise: Exploring and Cleaning the Data
Explore how to identify data quality issues and clean datasets using pandas in Python. Understand how to handle missing data, correct inconsistencies, and ensure correct data types to prepare data for building accurate machine learning models.
We'll cover the following...
We'll cover the following...
Thus far, we have identified a data quality issue related to the metadata: we had been told that every sample from our dataset corresponded to a unique account ID, but found that this was not the case. We were able to use logical indexing and pandas to correct this issue. This was a fundamental data quality issue, having to do simply with what samples were present, based on the metadata. Aside from this, we are not really interested in the metadata column of ...