Summarize a dataframe with skim aka describe
Get a quick understanding of your dataframe’s basic properties
Tidyverse
df %>% skim()
Polars
df.describe()| Name | Piped data |
| Number of rows | 3 |
| Number of columns | 4 |
| _______________________ | |
| Column type frequency: | |
| character | 2 |
| numeric | 2 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| color | 0 | 1 | 3 | 5 | 0 | 3 | 0 |
| size | 0 | 1 | 5 | 5 | 0 | 2 | 0 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| value_weight | 0 | 1 | 6.67 | 3.21 | 3 | 5.5 | 8 | 8.5 | 9 | ▃▁▁▁▇ |
| value_height | 0 | 1 | 33.00 | 18.25 | 12 | 27.0 | 42 | 43.5 | 45 | ▃▁▁▁▇ |
shape: (7, 5)
| describe | color | size | value_weight | value_height |
|---|---|---|---|---|
| str | str | str | f64 | f64 |
| "count" | "3" | "3" | 3.0 | 3.0 |
| "null_count" | "0" | "0" | 0.0 | 0.0 |
| "mean" | null | null | 6.666667 | 33.0 |
| "std" | null | null | 3.21455 | 18.248288 |
| "min" | "blue" | "large" | 3.0 | 12.0 |
| "max" | "red" | "small" | 9.0 | 45.0 |
| "median" | null | null | 8.0 | 42.0 |