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File 498 Doc 17 02dm Datapreprocessing 2

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ผู้ช่วยศาสตราจารย์จิรัฎฐา ภูบุญอบ ( jiratta . [email_address] . ac . th, 08-9275-9797 ) DATA PREPROCESSING 2
1. WHY DO WE NEED TO PREPROCESS THE DATA? ,[object Object],[object Object],[object Object],[object Object],[object Object]
2. DATA CLEANING ,[object Object],3000 D 30 99999 F 55101 1005 1000 S 0 50000 M 6269 1004 7000 S 45 10000000 90210 1003 4000 W 40 -40000 F J2S7K7 1002 5000 M C 75000 M 10048 1001 Transaction Amount Marital Status Age Income Gender Zip Cust ID
3. The three main types of problem data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
4. HANDLING MISSING DATA ,[object Object]
4. HANDLING MISSING DATA ( cont’d ) ,[object Object],[object Object],[object Object],[object Object]
4. HANDLING MISSING DATA ( cont’d ) ,[object Object]
4. HANDLING MISSING DATA ( cont’d ) ,[object Object]
4. HANDLING MISSING DATA ( cont’d ) ,[object Object]
5. GRAPHICAL METHODS FOR IDENTIFYING OUTLIERS ,[object Object]
5. GRAPHICAL METHODS FOR IDENTIFYING OUTLIERS ,[object Object]
6. DATA TRANSFORMATION ,[object Object]
6. DATA TRANSFORMATION ( ต่อ ) ,[object Object],[object Object],[object Object],[object Object],min–max normalization values will range from zero to one
6. DATA TRANSFORMATION ( ต่อ ) ,[object Object],[object Object],[object Object],[object Object],Z-score standardization values will usually range between –4 and 4
6. DATA TRANSFORMATION ( ต่อ ) ,[object Object]

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File 498 Doc 17 02dm Datapreprocessing 2