| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| duplicate column name | 0.98 | 0.6 | 8824 | 66 | 21 |
| duplicate | 1.18 | 0.6 | 2410 | 33 | 9 |
| column | 1.58 | 0.2 | 7123 | 32 | 6 |
| name | 1.5 | 0.6 | 7944 | 92 | 4 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| duplicate column name | 1.48 | 0.3 | 9042 | 89 |
| duplicate column name id | 1.56 | 0.6 | 7538 | 65 |
| duplicate column name user_id | 0.83 | 0.1 | 9978 | 7 |
| duplicate column name mysql | 0.47 | 0.6 | 2482 | 75 |
| duplicate column name sno | 1.05 | 0.1 | 6366 | 30 |
| duplicate column name sid | 1.13 | 0.4 | 6710 | 29 |
| duplicate column name age | 0.82 | 0.7 | 4752 | 44 |
| duplicate column name status | 1.24 | 1 | 9473 | 96 |
| duplicate column names found | 1.47 | 0.9 | 4550 | 49 |
| duplicate column name s_id | 0.87 | 0.7 | 2247 | 70 |
| duplicate column name type | 0.47 | 0.4 | 2965 | 28 |
| duplicate column name score | 1.12 | 0.8 | 7678 | 96 |
| ora-00957 duplicate column name | 0.62 | 0.3 | 5391 | 2 |
| how to remove duplicate names in excel column | 1.02 | 0.5 | 2311 | 58 |
| sql duplicate column name | 0.82 | 0.6 | 5679 | 74 |
| pandas duplicate column names | 1.9 | 0.7 | 2602 | 54 |
| pandas rename duplicate column names | 0.81 | 0.5 | 5946 | 30 |
| pandas dataframe with duplicate column names | 1.32 | 0.1 | 582 | 96 |
