countplot got multiple values

Yes, you can use the `hue` parameter in `sns.countplot()` to plot multiple values. The `hue` parameter allows you to specify a categorical variable to group the data by and plot each group separately in a different color.

Here's an example:

import seaborn as sns
import pandas as pd

# Create a sample dataset
data = {'gender': ['Male', 'Female', 'Male', 'Male', 'Female', 'Female', 'Male', 'Female', 'Female'],
        'age_group': ['18-24', '25-34', '35-44', '18-24', '25-34', '35-44', '25-34', '18-24', '35-44']}
df = pd.DataFrame(data)

# Plot a countplot with hue
sns.countplot(data=df, x='gender', hue='age_group')

This will create a countplot with two bars for each gender (Male and Female), and each bar will be divided into three sections based on the age group (18-24, 25-34, and 35-44). You can customize the colors of each section using the `palette` parameter.