Post by @jessramosdata

Follow for part 2 and check my bio for my full demo data cleaning in SQL youtube video! Let’s get DIRTY!! 😉 It’s gonna be 80% of your job! ↳ Clean strings: remove extra spaces, weird quotes, and fix casing ↳ Fix dates: standardize formats and remove stray characters ↳ Recode variables: turn “CA”, “California”, and “calif” into one consistent value ↳ Handle NULLs: don’t let missing data mess with your analysis Save these 4 tips to handle messy datasets w/ ease 😮‍💨 #data #datacleaning #sql🏷️ data, data cleaning, sql, data analytics, data science