Data clean aur validate karo
Missing values, duplicates, types aur inconsistent categories handle karo.
Idea, words aur real-world use pehle padho.
Example run karo, phir code task solve karo.
Quick check aur apne notes se concept explain karo.
- Clean and Validate Data ko apne words mein explain kar paana.
- Working example ko run aur modify kar paana.
Kisi question ka answer dene se pehle hum samjhenge ki Clean and Validate Data ka matlab kya hai, ye kahan useful hai aur example kaise behave karta hai. Naye words aate hi explain kiye gaye hain.
Idea ko samjho
Cleaning explicit decisions ki sequence hai: inspect, standardize, validate, deduplicate, missing values handle aur changes record karo.
Laundry labels matter: different stains ko different treatment chahiye aur missing items silently invent nahi karne.
Example ko step-by-step padho
- 1Program mein banaye gaye names aur values pehchaano.
- 2Har line ko top-to-bottom trace karo aur dekho wo kya change karti hai.
- 3Run Python dabane se pehle output predict karo, phir ek value change karo.
Kya yaad rakhna hai
- Missing values, duplicates, types aur inconsistent categories handle karo.
- Mistake useful feedback hai: error ki last line padho, ek cheez change karo aur dobara run karo.
Concept ko step-by-step dekho
Arrows use karke data ka safar samjho.
CSV rowsCollect
Sawaal aur relevant data se shuru karo.
Clean and Validate Data: working example
Example run karo, phir ek value change karke apni understanding test karo.
Cleaning ko kya preserve karna chahiye?
Code ko complete karo
Names normalize aur deduplicate karo.
Key takeaways
- Cleaning explicit decisions ki sequence hai: inspect, standardize, validate, deduplicate, missing values handle aur changes record karo.
- Is idea ko seekhne ka fastest way example ko change karke rerun karna hai.
Pass the quick check and coding task to complete this lesson.