Day 57 | Matplotlib Subplots, Figure & Axes in Python | Create Multiple Charts & Dashboards

Welcome to Day 57 of the Data Science with Python series! 🚀 In this session, we continue learning Matplotlib and explore how to create multiple charts inside a single figure using Subplots, Figure, and Axes. 📊 Topics Covered: • Introduction to Subplots • plt.subplot() • plt.subplots() • Understanding Rows & Columns • Figure (fig) and Axes (ax) • ax.plot() for Line Charts • ax.bar() for Bar Charts • Creating Multiple Charts in One Figure • Combining Different Chart Types • Building Dashboard-Style Layouts • 2 × 2 Matplotlib Dashboard • Practical Dashboard Assignment 💻 Practical Task: Create your own 2 × 2 Matplotlib dashboard using: • Line Chart – Monthly Sales • Bar Chart – Product Units • Scatter Plot – Study Hours vs Score • One additional visualization of your choice You will also practice: figsize=(12, 8) set_title() set_xlabel() set_ylabel() tight_layout() 🎯 Learning Outcome: By the end of this session, you will understand how Figure and Axes work together and how to organize multiple visualizations into a professional dashboard. 📌 Language: Hindi 📌 Level: Beginner Friendly 📌 Track: Data Science with Python 📌 Topic: Matplotlib Data Visualization If you are following the complete Data Science journey, make sure to practice the coding examples and complete the dashboard task. #DataScience #Python #Matplotlib #DataVisualization #PythonProgramming #Subplots #DataAnalytics #Dashboard #LearnPython