Yo! Data wrangling meaning is basically like being a data janitor but with extra steps lol.
You take messy, raw data—like a spreadsheet with missing values, duplicates, or weird formatting—and clean it up so it’s actually useful.
Example: Imagine you have sales data with dates like "Jan 5, 2023" and "05/01/23" mixed together. Wrangling fixes that mess so everything’s consistent.
Tools? Try OpenRefine or Python’s Pandas library. Super handy!
You take messy, raw data—like a spreadsheet with missing values, duplicates, or weird formatting—and clean it up so it’s actually useful.
Example: Imagine you have sales data with dates like "Jan 5, 2023" and "05/01/23" mixed together. Wrangling fixes that mess so everything’s consistent.
Tools? Try OpenRefine or Python’s Pandas library. Super handy!