How to create Automated Data Cleaning Pipelines Using Python and Pandas
Standardize Your Data Import Process
Dealing with inconsistent file formats and import problems is one of the most annoying parts of working with data.
Implement Automated Data Validation
You discover that some of your data doesn't make sense halfway through your analysis—possibly impossible values, future dates, or strings where numbers should be
Create a Data Cleaning Pipeline
Let's now discuss organizing your cleaning procedure. If you've ever had to repeatedly perform the same cleaning procedures,
Create Automate String Cleaning and Standardization a Data Cleaning Pipeline
Text data can be particularly messy can make analysis challenging.
Monitor Data Quality Over Time
Tracking changes in data quality over time is one part of data cleaning that is frequently disregarded.