Aslam-o-Alaikum futuristic data scientists! ππ» Aaj hum desi tareeqay se EDA ke khoobsoorat duniya mein ghoomenge. Aaiye shuru karte hain! ππ
Exploratory Data Anlaysis aik important task hy jis per saray AI depend karti hy.
1. Data Collection π
Gathering Data:
Data collect karna jaise hum bazaar se sabziyan lete hain. Kuch data toh APIs aur CSV files se milta hai.
Desi Tarka: Jaise sabziyan taaza honi chahiye, waise hi data bhi fresh aur relevant hona chahiye!
Understanding the Data Source:
Data kahan se aya, yeh samajhna zaroori hai, jaise aap apni dadi se purani kahaniyan sunte hain.
Desi Tarka: Dadi ki kahaniyon mein hamesha ek seekh hoti hai, waise hi data source ko samajhne se insight milti hai!
2. Data Cleaning π§Ή
Handling Missing Data:
Data mein kabhi kabhi kuch values missing hoti hain, unko sahi se handle karna important hota hai.
Desi Tarka: Jaise pakode mein namak kam ho jaye toh swaad nahi aata, waise hi missing data ko fill karna padta hai!
Removing Duplicates:
Duplicate values ko hatana padta hai, warna problem hoti hai.
Desi Tarka: Jaise duplicate samaan ko alag karna padta hai, waise hi duplicate data ko bhi!
Data Type Conversion:
Columns ko suitable data types mein convert karna padta hai.
Desi Tarka: Jaise aaloo ko katakar fry karte hain, waise hi data types ko convert karte hain!
3. Data Wrangling π€Ή
Subsetting and Filtering:
Data ko chhan kar relevant parts ko select karna padta hai.
Desi Tarka: Jaise chaai mein se pattiyan chhan lete hain, waise hi data se unnecessary parts ko chhan lete hain!
Transforming Variables:
Maujooda variables ko transform karke naye variables banate hain.
Desi Tarka: Jaise aata goondh kar roti banate hain, waise hi variables ko transform karte hain!
Reshaping Data:
Data ko zaroorat ke mutaabiq reformat karna padta hai.
Desi Tarka: Jaise roti ko bel kar gol karte hain, waise hi data ko reshape karte hain!
4. Data Visualization π¨
Univariate to Multivariate Visualization:
Ek se zyada variables ko plot karna, taake unke distributions aur relationships ko samajh sakein.
Desi Tarka: Jaise mithaiyon ki variety dekh kar choose karte hain, waise hi variables ko dekh kar insights nikalte hain!
5. Descriptive Statistics π
Central Tendency & Spread of Data:
Data ki central values aur spread ko samajhna padta hai.
Desi Tarka: Jaise biryani mein masala evenly spread hota hai, waise hi data spread ko check karte hain!
Correlation Analysis:
Variables ke beech ke relationships ko analyze karna padta hai.
Desi Tarka: Jaise chai aur biscuit ek saath achha lagta hai, waise hi correlations check karte hain!
6. Dimensionality Reduction π
Feature Engineering & Selection:
Maujooda features se naye features create karte hain aur relevant ones ko select karte hain.
Desi Tarka: Jaise masalon se khana tasty banta hai, waise hi features se data analysis mein maza aata hai!
7. Hypothesis Testing π§ͺ
Formulating & Testing Hypothesis:
Clear aur testable hypothesis banate hain aur unko test karte hain.
Desi Tarka: Jaise pani puri mein paani test karte hain, waise hi hypothesis test karte hain!
8. Pattern and Anomaly Detection π
Identifying Patterns:
Data mein patterns aur trends dhundhna.
Desi Tarka: Jaise mehendi lagate waqt patterns bana lete hain, waise hi data patterns find karte hain!
9. Modeling ποΈ
Building Models & Validation:
Problem ke hisaab se suitable models build karte hain.
Desi Tarka: Jaise khud ko sheeshe mein dekh kar tayyar hote hain, waise hi models ko validate karte hain!
10. Report and Documentation π
Documentation & Reporting:
Findings aur methodologies ko properly document karte hain.
Desi Tarka: Jaise kahaniyan likh kar yaad rakhne mein asani hoti hai, waise hi documentation helps in remembering the process!
π Conclusion & Call to Action π
Ab jab aapko EDA ke steps aur desi tarkay pata chal gaye hain, toh kyun na aap bhi isko apne projects par implement karein? ππ Explore, discuss aur implement karein aur duniya ko dikhayein apni data science ki skills!
π¬ Letβs Discuss! π¬
Aapke thoughts aur experiences humein comments section mein share karein! Mil kar data science ke duniya ko aur bhi mazedaar banayein! π€
π Share & Connect! π
Agar aapko yeh guide pasand aaya toh share zaroor karein, aur connect karein! Khush raho, aur data ke saath masti karte raho! ππ»