| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| groupby pandas multiple columns | 1.29 | 0.3 | 761 | 62 | 31 |
| groupby | 0.37 | 0.9 | 4199 | 95 | 7 |
| pandas | 1.29 | 0.8 | 8089 | 28 | 6 |
| multiple | 1.67 | 0.5 | 8325 | 86 | 8 |
| columns | 1.34 | 0.8 | 6387 | 4 | 7 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| groupby pandas multiple columns | 1.01 | 0.5 | 2646 | 66 |
| pandas groupby aggregate multiple columns | 0.61 | 0.8 | 7506 | 48 |
| pandas groupby sum multiple columns | 1.46 | 0.2 | 7464 | 86 |
| pandas groupby agg multiple columns | 0.74 | 0.4 | 5909 | 35 |
| pandas dataframe groupby multiple columns | 1.04 | 0.2 | 1149 | 40 |
| python pandas groupby multiple columns | 0.22 | 0.2 | 4940 | 9 |
| pandas groupby and aggregate multiple columns | 0.57 | 0.9 | 7812 | 17 |
| pandas aggregate multiple columns | 1.29 | 0.5 | 3409 | 48 |
| group by multiple aggregate pandas | 1.47 | 0.8 | 3271 | 54 |
| groupby multiple columns pandas | 0.13 | 0.3 | 9283 | 41 |
| pandas groupby multiple aggregations | 1.42 | 0.7 | 9275 | 20 |
| aggregate in pandas groupby | 0.04 | 0.9 | 483 | 50 |
| pandas groupby aggregate list | 0.38 | 0.9 | 4566 | 7 |
| aggregate function in pandas groupby | 1.75 | 0.4 | 8952 | 55 |
| python pandas groupby aggregate | 1.47 | 0.6 | 9548 | 82 |
