Imputing example sentences

"Imputing" Example Sentences

1. Imputing false information can lead to serious consequences.
2. I'm imputing all of my savings into this new investment.
3. The team is imputing the data into the system.
4. Imputing blame for the accident is counterproductive.
5. She's imputing a negative motive to my actions.
6. This software is imputing the wrong information.
7. Imputing malicious intent to someone's actions is unfair.
8. The app is imputing my location incorrectly.
9. Imputing values to missing data can be tricky.
10. I'm imputing your feedback into my report.
11. Imputing a cost to every item will help with budgeting.
12. The professor is imputing the grades into the system.
13. Imputing too much power to one person can be dangerous.
14. We're imputing the survey results into our analysis.
15. Imputing emotions to an animal can be anthropomorphic.
16. They're imputing the error to a specific department.
17. Imputing a particular style to an artist can be limiting.
18. I'm imputing your request into the system right now.
19. Imputing a label to someone without their input is wrong.
20. The software is imputing the correct formula into the cells.
21. Imputing a false sense of security can be dangerous.
22. She's imputing a sense of urgency to the situation.
23. Imputing a profit margin to each product is necessary for pricing.
24. They're imputing the incorrect data to the profile.
25. Imputing your personal beliefs onto others can cause conflict.
26. The team is imputing the inventory levels into the system.
27. Imputing a particular motive to someone's actions without evidence is unfair.
28. The software is imputing the data quickly and accurately.
29. Imputing a particular sound to a musical instrument can be subjective.
30. They're imputing the correct tax rate into the invoice.

Common Phrases

1. Imputing missing values;
2. Imputing data using statistical techniques;
3. Imputing values based on a preset formula;
4. Imputing values based on similar observations;
5. Imputing values based on expert knowledge;
6. Imputing data for prediction models.