Computer Science · Data Analytics with Python
Why is exporting data important after completing an analysis?
Verified Solution4 OptionsUpdated: October 2026👁️1 View
Share:
- 1To increase computation speed of the local CPU
- 2To dynamically create automatic indexes
- 3To programmatically clean missing values
- 4To preserve analysis results for reporting or future reuse✓
Correct answer
To preserve analysis results for reporting or future reuse
Download Single Question PDF
Save this question and verified answer as a clean study sheet with live clickable link.
👥
Share with Friends & Study Groups
Challenge your peer aspirants on WhatsApp or Telegram to solve this question!
Online Test Series
Start Free Mock Test →Preparing for Computer Science?
Practice full-length mock tests with real exam timers, instant score analysis, and all-India ranking.
Chapter Practice
Practice Data Analytics with Python MCQs →Want more practice questions on Data Analytics with Python?
Solve complete topic-wise tests with detailed solutions on GkGet.
Related Practice Questions
Recommended practice questions in Computer Science · Data Analytics with Python