| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| pandas dataframe groupby aggregate | 1.12 | 0.9 | 7610 | 4 | 34 |
| pandas | 0.51 | 0.3 | 7521 | 84 | 6 |
| dataframe | 0.57 | 0.5 | 2400 | 63 | 9 |
| groupby | 1.68 | 0.8 | 9691 | 32 | 7 |
| aggregate | 0.38 | 0.7 | 6137 | 15 | 9 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| pandas dataframe groupby aggregate | 0.58 | 0.4 | 8074 | 44 |
| pandas dataframe groupby aggregate multiple | 0.29 | 0.2 | 2510 | 73 |
| pandas dataframe groupby aggregate function | 0.85 | 0.3 | 6427 | 54 |
| groupby aggregate in pandas | 0.64 | 0.6 | 1597 | 67 |
| pandas groupby and aggregate | 1.86 | 0.5 | 9506 | 52 |
| pandas groupby aggregate function | 1.63 | 0.3 | 815 | 16 |
| pandas groupby aggregate list | 1.31 | 0.4 | 6173 | 52 |
| python pandas groupby aggregate | 0.59 | 0.9 | 7443 | 78 |
| pandas groupby aggregate custom function | 0.25 | 0.3 | 9886 | 77 |
| pandas groupby as dataframe | 1.11 | 0.2 | 588 | 74 |
| pandas dataframe groupby agg | 1.23 | 0.7 | 9258 | 98 |
| pandas groupby large dataframe | 1.04 | 0.7 | 3204 | 82 |
| pandas groupby aggregate based on condition | 1.2 | 1 | 6825 | 9 |
| aggregate multiple columns pandas groupby | 0.19 | 0.5 | 3541 | 57 |
| pandas groupby named aggregation | 0.03 | 1 | 2937 | 34 |
