Plotly is a powerful data visualization library that allows you to create interactive charts and graphs. Whether you're new to data visualization or looking to enhance your skills, this tutorial will guide you through the fundamentals of using Plotly.

Getting Started with Plotly

  1. Installation
    Start by installing Plotly using pip: 

    pip install plotly

  2. Creating Your First Chart
    Here's a simple example to create a line chart: 

    import plotly.express as px
df = px.data.tips()
fig = px.line(df, x='total_bill', y='tip')
fig.show()

    📈 Example of a line chart using Plotly

  3. Supported Chart Types
    Plotly supports various chart types including:

    • Bar Chart 📊
    • Scatter Plot 📈
    • Histogram 📊
    • Pie Chart 🎂
    • 3D Surface Plot 🌄

    For more details, check out our Plotly Advanced Tutorial.

  4. Interactive Features
    Plotly charts are interactive by default. You can:

    • Zoom in/out with 🖱️
    • Hover over data points for tooltips
    • Animate data with sliders or buttons

    Try these features in your own plots!

Visual Examples

Bar_Chart
📊 *Bar Chart Example*
Scatter_Plot
📈 *Scatter Plot Example*
Pie_Chart
🍰 *Pie Chart Example*

Tips for Effective Visualization

  • Use fig.update_layout() to customize chart appearance
  • Add titles with fig.update_layout(title_text="Your Title")
  • Explore Plotly's documentation for advanced options

Let me know if you'd like to dive deeper into specific features! 🚀