TGViewer
Python for Data Analysts Python for Data Analysts @pythonanalyst · 51.7K subscribers
Post #271 8.47K
Creating Beautiful Box Plots with Seaborn in Python

A box plot is a simple way to visualise the distribution of a dataset and identify potential outliers. It displays the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum of the data, as well as any outliers. For more details on box plots you can watch my latest video on Insta

🔹 Step 1: Import Seaborn and load your dataset

🔹 Step 2: Create a basic box plot
  • 👏 9
  • 👍 4
  • ❤ 2
More from @pythonanalyst
  1. Oct 2, 2026Skills for data analyst
  2. Sep 24, 2026GigaChat 3.5 Reasoning is a new open-source LLM designed to reason before generating respo…
  3. Sep 23, 2026Understanding Popular ML Algorithms: 1️⃣ Linear Regression: Think of it as drawing a strai…
  4. Aug 22, 2026How to Become a Data Analyst from Scratch! 🚀 Whether you're starting fresh or upskilling,…
  5. Aug 20, 2026🚀 Top Python Careers You Should Know 🐍 Python Developer 🤖 AI / Machine Learning Enginee…
  6. Aug 13, 2026📊 Python for Data Science – Complete Beginner Roadmap 🐍🚀 🔹 What is Data Science? Data…
Threads Profile ViewerView any public Threads profile without an account.Open ThreadLook →Writing with AI? Make it sound human.Metric37 rewrites AI drafts so they read naturally. Free AI detector, 1,500 words free.Try Metric37 →