What’s the best way to clean and prepare a dataset or data set for analysis? or How do you handle mis

Honestly, cleaning a dataset or data set is like 80% of the work.

I always start with:
- Summary stats (pandas’ `describe()`) to spot weird outliers.
- Visual checks (histograms, scatter plots) to catch nonsense values.

Tools? Python’s great, but if you’re not coding, Tableau Prep is super visual and intuitive.

Also, always document your steps. Future you will thank past you.