| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| pandas groupby | 0.92 | 0.1 | 2668 | 38 | 14 |
| pandas | 0.51 | 0.4 | 4447 | 27 | 6 |
| groupby | 0.58 | 0.5 | 5949 | 49 | 7 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| pandas groupby | 1.94 | 0.4 | 7578 | 5 |
| pandas groupby count | 1.87 | 0.9 | 2400 | 84 |
| pandas groupby agg | 0.77 | 0.7 | 8874 | 93 |
| pandas groupby sum | 0.33 | 0.8 | 2926 | 51 |
| pandas groupby apply | 1.75 | 0.5 | 2739 | 48 |
| pandas groupby index | 1.21 | 0.5 | 1734 | 56 |
| pandas groupby multiple columns | 0.31 | 1 | 2523 | 90 |
| pandas groupby transform | 0.32 | 1 | 7113 | 92 |
| pandas groupby aggregate | 0.91 | 0.1 | 5614 | 65 |
| pandas groupby max | 1.92 | 0.9 | 5751 | 47 |
| pandas groupby average | 1.15 | 0.5 | 8924 | 45 |
| pandas groupby plot | 0.46 | 0.8 | 4565 | 56 |
| pandas groupby object | 0.45 | 0.3 | 5863 | 97 |
| pandas groupby size | 1.26 | 1 | 4888 | 71 |
| pandas groupby function | 1.01 | 1 | 384 | 7 |
| pandas groupby date | 0.61 | 0.6 | 6156 | 73 |
| pandas groupby two columns | 0.2 | 1 | 6795 | 56 |
| pandas groupby filter | 0.49 | 0.6 | 9437 | 75 |
| pandas groupby to dataframe | 0.68 | 1 | 3145 | 98 |
| pandas groupby agg count | 1.88 | 0.1 | 9742 | 5 |
| pandas groupby count unique | 0.1 | 0.3 | 1461 | 80 |
| pandas groupby min | 1.96 | 1 | 6353 | 84 |
| pandas groupby count distinct | 0.65 | 0.9 | 7818 | 71 |
| pandas groupby to dict | 1.02 | 0.8 | 1755 | 63 |
| pandas groupby multiple aggregations | 1.96 | 0.9 | 9495 | 11 |
