The best way to ensure that your data is as clean as possible is to develop a rigid workflow. Most data scientists rely on the following eight steps:
- Start by gathering and storing your data.
- Verify the integrity of the data.
- Clean and format the data.
- Analyze it for any apparent strengths or weaknesses.
- Run your analysis.
- Verify the data’s integrity *again*.
- Confirm the statistical relevance.
- Finish up by building any relevant end products (ex. visualizations or reports)