[Solved] Which of the following is the correct syntax to create a figure-level plot with Seaborn? — Ans: sns.relplot(data=df, x='age', y='height') | Matplotlib

Matplotlib - Seaborn Integration

Which of the following is the correct syntax to create a figure-level plot with Seaborn?

Asns.relplot(data=df, x='age', y='height')

Bsns.scatterplot(data=df, x='age', y='height')

Csns.lineplot(df['age'], df['height'])

Dsns.histplot(df['age'])

Step-by-Step Solution

Solution:

Step 1: Recognize figure-level function syntax
Figure-level functions like sns.relplot() accept data and variable names as keyword arguments.
Step 2: Compare other options
Axes-level functions like sns.scatterplot(), sns.lineplot(), and sns.histplot() have different syntax and do not create full figures automatically.
Final Answer:
sns.relplot(data=df, x='age', y='height') -> Option A
Quick Check:
Figure-level syntax = sns.relplot(data=...) [OK]

Quick Trick: Figure-level uses data= and x=, y= keywords [OK]

Common Mistakes:

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Which of the following is the correct syntax to create a figure-level plot with Seaborn?