Develop a Rigid Workflow

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:

1. Start by gathering and storing your data.
2. Verify the integrity of the data.
3. Clean and format the data.
4. Analyze it for any apparent strengths or weaknesses.
5. Run your analysis.
6. Verify the data’s integrity *again*.
7. Confirm the statistical relevance.
8. Finish up by building any relevant end products (ex. visualizations or reports)