Plotly is a powerful library for creating interactive visualizations in Python. Whether you're new to data analysis or looking to enhance your skills, this tutorial will guide you through the essentials of Plotly.

📦 Installation

To get started, install Plotly using pip:

pip install plotly

📈 Basic Chart Types

Here are some common Plotly chart types you can create:

  • Line Chart 📈
    Ideal for showing trends over time.

    Line_Chart

  • Bar Chart 📊
    Great for comparing categorical data.

    Bar_Chart

  • Scatter Plot 📉
    Perfect for visualizing relationships between variables.

    Scatter_Chart

🧠 Example Code

import plotly.express as px
df = px.data.iris()
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species")
fig.show()

🌐 Expand Your Knowledge

For advanced Plotly features, check out our Plotly Advanced Tutorial.

Let me know if you need help with anything else! 🚀