AI Prompts for Data Analysis of files

Sure! Here are 50 examples of prompts related to data analysis of files:

1. Analyze the file size distribution across different directories.
2. Identify the top 10 largest files in a specific directory.
3. Compare the file types and their frequencies in a given folder.
4. Determine the average file size in a directory.
5. Analyze the modification dates of files to identify the most recently updated files.
6. Identify duplicate files based on content or file name.
7. Analyze the access patterns of files over the past month.
8. Determine the most common file extensions in a directory.
9. Compare the file sizes before and after compression.
10. Analyze the growth rate of a directory over the past year.
11. Identify files that have not been accessed in the last six months.
12. Analyze the distribution of file permissions in a directory.
13. Determine the average number of files per subdirectory.
14. Identify the top 5 directories consuming the most disk space.
15. Analyze the correlation between file size and access frequency.
16. Determine the average age of files in a directory.
17. Identify the most common file owners in a directory.
18. Analyze the file creation dates to identify trends.
19. Compare the file sizes across different file types.
20. Determine the impact of file fragmentation on access times.
21. Identify the top 5 most frequently accessed files.
22. Analyze the distribution of file sizes within a specific file type.
23. Determine the average time between file modifications.
24. Identify files that are likely to be redundant based on content similarity.
25. Analyze the file access logs to identify unusual patterns.
26. Compare the file sizes before and after encryption.
27. Determine the average number of file accesses per day.
28. Identify the top 5 most modified files.
29. Analyze the distribution of file types by directory.
30. Determine the impact of file system changes on access times.
31. Identify the most common file extensions by directory.
32. Analyze the file access patterns to identify peak usage times.
33. Determine the average file size by file type.
34. Identify the top 5 directories with the most file modifications.
35. Analyze the correlation between file size and modification frequency.
36. Determine the average time between file accesses.
37. Identify files that have not been modified in the last year.
38. Analyze the distribution of file sizes by owner.
39. Compare the file sizes before and after deduplication.
40. Determine the average number of file modifications per day.
41. Identify the top 5 most accessed directories.
42. Analyze the file creation patterns to identify peak creation times.
43. Determine the average file size by directory.
44. Identify the most common file types by owner.
45. Analyze the file modification logs to identify unusual patterns.
46. Determine the impact of file system changes on modification times.
47. Identify the top 5 most frequently modified directories.
48. Analyze the distribution of file sizes by modification date.
49. Compare the file sizes before and after archiving.
50. Determine the average number of file accesses by directory.