What problem does it solve?
This Skill addresses the need for creating interactive and publication-quality visualizations, enabling users to visualize complex data sets in a user-friendly manner.
Core Features & Use Cases
- Interactive Visualization: Generate interactive charts, plots, and dashboards.
- Chart Types: Offers a wide range of chart types including scatter plots, line charts, bar charts, heatmaps, and more.
- Customization: Fine-grained control over the appearance and interactivity of visualizations.
- Use Case: Visualize sales data over time, track customer demographics, or create a complex financial dashboard.
Quick Start
Install Plotly and create a scatter plot with Plotly Express:
uv pip install plotly
import plotly.express as px
import pandas as pd
df = pd.DataFrame({'x': [1, 2, 3, 4], 'y': [10, 11, 12, 13]})
fig = px.scatter(df, x='x', y='y', title='My First Plot')
fig.show()