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Create effective data visualizations with matplotlib, seaborn, and plotly. Use when building charts, dashboards, or communicating data insights visually.
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Basierend auf der SOC-Berufsklassifikation
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Template for creating new skills. Copy this directory and customize for your specific use case.
| name | data-visualization |
| description | Create effective data visualizations with matplotlib, seaborn, and plotly. Use when building charts, dashboards, or communicating data insights visually. |
Activate this skill when creating charts, plots, or visual data presentations.
import matplotlib.pyplot as plt
import seaborn as sns
fig, axes = plt.subplots(1, 2, figsize=(12, 5))
sns.histplot(data=df, x="value", hue="category", ax=axes[0])
sns.scatterplot(data=df, x="feature_1", y="target", ax=axes[1])
plt.tight_layout()
plt.savefig("analysis.png", dpi=150, bbox_inches="tight")