Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
pandas groupby | 0.41 | 0.2 | 9990 | 91 | 14 |
pandas | 1.63 | 0.7 | 6369 | 67 | 6 |
groupby | 1.82 | 0.9 | 4939 | 72 | 7 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
pandas groupby | 1.6 | 0.2 | 5917 | 75 |
pandas groupby count | 0.13 | 0.5 | 1931 | 96 |
pandas groupby agg | 0.7 | 0.7 | 3211 | 84 |
pandas groupby sum | 1.54 | 0.3 | 8861 | 54 |
pandas groupby apply | 0.53 | 0.6 | 9363 | 65 |
pandas groupby index | 0.31 | 0.8 | 400 | 42 |
pandas groupby multiple columns | 0.64 | 0.3 | 1619 | 43 |
pandas groupby transform | 1.86 | 0.9 | 1655 | 16 |
pandas groupby aggregate | 1.27 | 0.9 | 9325 | 93 |
pandas groupby max | 1.34 | 0.9 | 9531 | 37 |
pandas groupby object | 0.85 | 0.4 | 5850 | 97 |
pandas groupby average | 0.07 | 1 | 5020 | 80 |
pandas groupby plot | 1.78 | 0.5 | 7113 | 7 |
pandas groupby agg count | 0.23 | 0.3 | 8844 | 39 |
pandas groupby date | 1.07 | 0.5 | 7788 | 27 |
pandas groupby filter | 0.9 | 0.5 | 1367 | 47 |
pandas groupby to dataframe | 1.95 | 0.5 | 4673 | 86 |
pandas groupby month | 0.74 | 0.4 | 8735 | 16 |
pandas groupby count unique | 0.37 | 0.3 | 8429 | 75 |
pandas groupby count distinct | 1.12 | 0.3 | 2085 | 37 |
pandas groupby min | 0.09 | 0.5 | 217 | 73 |
pandas groupby 2 columns | 0.15 | 0.8 | 5416 | 15 |
pandas groupby agg multiple columns | 1.99 | 0.6 | 600 | 30 |
pandas groupby level | 0.99 | 0.5 | 4475 | 10 |
pandas groupby multiple aggregations | 0.07 | 0.1 | 1413 | 86 |