Box Plot with Plotly in Python | Data Visualization Tutorial #14

#Python #Plotly #DataVisualization #BoxPlot #DataScience #Tutorial
In this episode (#14) of our Data Visualization series, you’ll learn how to create beautiful, interactive box plots using Plotly in Python. Whether you’re exploring outliers, comparing distributions, or summarizing large datasets, box plots are an essential tool—and Plotly makes them both powerful and easy to customize.

What you’ll learn in this tutorial:
✅ Introduction to Box Plots: Understand the components (median, quartiles, whiskers, and outliers) and when to use them
✅ Loading & Preparing Data: Clean and structure your dataset for effective visualization
✅ Building a Basic Box Plot: Use plotly.express.box() to generate your first plot
✅ Customizing Appearance: Adjust colors, labels, and layout to match your branding or report style
✅ Adding Interactivity: Enable hover tooltips, group comparisons, and dynamic filtering
✅ Advanced Tips: Show multiple categories side by side and combine with other chart types
📲Follow us on our Social Media Handles :
=================================
🔗 Main Website: www.codersarts.com/
📚 Codersarts Training: www.training.codersarts.com/
🤖 Codersarts AI: www.ai.codersarts.com/
📷 Instagram: www.instagram.com/codersarts/?hl=en
📘 Facebook: www.facebook.com/codersarts2017
💼 LinkedIn: in.linkedin.com/company/codersarts

#Codersarts #AI #ML #Upskilling #POCs #MVPs