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17. What is data privacy? Websites that you visit collect what type of information about you? Answer Data privacy is all about- proper handling of data controlled access of data protecting data from illegal use or activity taking backups of data Data can be any – Personal data Financial data Sensitive data Intellectual data stored
Question-17 | Ch-6 Societal Impact | NCERT Solution IP-12 Read More »
Everyone learning Computer Science can take the help of this post which containing latest and best Societal Impact MCQ questions and answers to prepare for their exams. Societal Impact MCQ covers all objective type questions for following topics Digital FootprintNet Etiquette Digital Communication Etiquette Data Protection Intellectual Property Rights Copyright Patent Trademark Plagiarism Licensing Free
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This post contains Multiple Choice Questions with answers for Data handling class 12 MCQ. This is based on syllabus designed by CBSE for Informatics Practices Class 12. Data handling majorly covers three topics:Python SeriesPython DataframePlotting with pyplot Python pandas is the library which is mainly used for data handling. Data handling class 12 mcq Set-4
Data handling class 12 mcq | Informatics Practices MCQ Read More »
DROP TABLE – Deletes entire schema DROP DATABASE – Delete entire databse schema DROP clause of ALTER TABLE – Can delete specific column or constraint of existing table.
Differentiate between DROP TABLE, DROP DATABASE and DROP Cluase of ALTER TABLE Read More »
Fruitful Function: Function that returns a value def power(x,y): for i in range(y): r=r*x print(r) a=intinput((“Enter Base”)) b=intinput((“Enter Exponent”)) power(a,b) Non-Fruitful Function: Function that does not return any value. def power(x,y=3): for i in range(y): r=r*x return r a=intinput((“Enter Base”)) b=intinput((“Enter Exponent”)) total = power(a,b) print(total)
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Ans 2:InformaticsPracticesAns 3:informatics practices class 11thAns 4:COMPUTER STUDIESAns 5:classXII
Ans:18. NA values such as NULL or NaN or None values which can not participate in any computation are called missing values.19. To calculate accurate result or predictions from given data, missing data should be handled or filled.20. fillna(<n>)21. dropna(), fillna(), isnull()
