Csv example sentences

"Csv" Example Sentences

1. The data was exported as a CSV file.
2. I need to import this CSV into my spreadsheet.
3. He quickly processed the large CSV file.
4. She converted the database to a CSV format.
5. The CSV contained millions of rows.
6. Working with CSV files is often easier than with XML.
7. Are you sure that CSV is the correct format?
8. This program can handle CSV imports seamlessly.
9. The report was generated directly as a CSV.
10. Download the CSV file here.
11. Please ensure the CSV is properly formatted.
12. Each line in the CSV represents a single record.
13. He meticulously cleaned the CSV data before analysis.
14. The CSV file size was unexpectedly large.
15. We'll need a tool to parse this CSV effectively.
16. The script automatically creates a CSV output file.
17. Unfortunately, the CSV contained errors.
18. A well-formatted CSV is essential for data integrity.
19. They used Python to manipulate the CSV data.
20. The CSV is a widely used data format.
21. Open the CSV in Excel to view the data.
22. The CSV parser failed due to malformed data.
23. Import the CSV and then start your analysis.
24. This CSV needs to be validated before use.
25. How can I sort this CSV by date?
26. The CSV's delimiter was a semicolon, not a comma.
27. He spent hours debugging the CSV import.
28. The CSV data was then visualized in a graph.
29. Processing this large CSV requires significant resources.
30. She created a script to automate CSV file generation.
31. We use CSV for interoperability with other systems.
32. The CSV format is surprisingly versatile.
33. Is it possible to directly query a CSV file?
34. The CSV file was corrupted during transfer.
35. This tutorial explains how to create a CSV from scratch.
36. After importing the CSV, the analysis began.
37. The team decided to use a CSV for its simplicity.
38. Managing CSV files is a key part of data processing.
39. Learning to work with CSV is beneficial for data scientists.
40. The CSV importer threw an exception.
41. A CSV is a simple yet effective data format.
42. He added a header row to the CSV file.
43. The CSV didn't contain the expected columns.
44. She quickly found the error in the CSV using a text editor.
45. Converting to CSV improved the data's portability.
46. The system automatically generates a CSV report daily.
47. We need to validate the CSV data before using it in our model.
48. Despite its simplicity, CSV remains a powerful tool.
49. The CSV file was too large for the memory.
50. He wrote a function to clean the CSV data efficiently.