📚 Day 42 of #100DaysOfCode in Python: Advanced Data Visualization with Plotly

Welcome to Day 42! Today, we elevate our data visualization skills by exploring Plotly, a powerful Python library used for creating interactive and aesthetically pleasing visualizations. Plotly excels in crafting intricate plots that can be interactively explored, making it a popular choice for data storytelling and analysis.

1. Introduction to Plotly

Plotly is an open-source graphing library that makes interactive, publication-quality graphs online. It offers a range of plot types, including line charts, scatter plots, histograms, 3D plots, and more, which are easily customizable and can be rendered in web browsers.

2. Why Choose Plotly for Data Visualization?

• Interactivity: Plotly graphs are interactive, offering tooltips, zooming, panning, and much more.
• Versatility: Supports a wide range of plots, including 3D plots and geographical maps.
• Integration: Works well with Pandas and other data manipulation libraries.
• Export Options: Allows exporting plots in various formats, making it easy to share or embed in web applications.

3. Getting Started with Plotly