Question
compare sepal length across species
How it decided
Finding the data85 ms
Iris: 150 rows, 5 columns. species and sepal_length_cm.
Shaping the data9 ms
150 rows in, 3 out across 2 columns. Three groups, one measurement: the comparison the question asks for is a ranking, so it is drawn as one.
Choosing the chart8 ms
bar. A measure across three named groups: bars.
Applying defaults1 ms
Palette, spacing, axis titles and legend placement applied. 0 issues found.
The transformation
This is the code, not a description of it — the chart above was drawn from what it returns, and the notebook download runs the same lines against the same file.
result = df.groupby("species", as_index=False)["sepal_length_cm"].mean()What it charted
3 rows out of 150, 2 columns. First 3 shown.
| species | sepal_length_cm |
|---|---|
| setosa | 5.006 |
| versicolor | 5.936 |
| virginica | 6.588 |