📊 Data Visualization with Matplotlib
A beginner-friendly repository for learning Data Visualization using Matplotlib in Python through Google Colab notebooks. This project covers the fundamental visualization techniques used in Data Science, Machine Learning, and Data Analytics.
📚 Notebook Included
Matplotlib_Basics.ipynb
Topics Covered:
- Introduction to Data Visualization
- Introduction to Matplotlib
- Terms You Should Know
- Pyplot Functions
- Line Plot
- Bar Chart
- Pie Chart
- Histogram
- Scatter Plot (Vector Graph)
- Subplots
- Layout Adjustments
- Saving Figures
🎯 Learning Outcomes
After completing this notebook, you will be able to:
- Create professional data visualizations using Matplotlib
- Understand different chart types and their use cases
- Customize plots with titles, labels, legends, and grids
- Create multiple visualizations using subplots
- Save figures in different formats for reports and presentations
🛠 Technologies Used
- Python
- Matplotlib
- Google Colab
🚀 Run on Google Colab
- Open the notebook in Google Colab.
- Run each cell sequentially.
- Experiment with the examples and customize the plots.
No local installation is required.
📈 Visualizations Covered
- Line Plot
- Bar Chart
- Pie Chart
- Histogram
- Scatter Plot
- Subplots
- Layout Management
- Figure Exporting
📂 Repository Structure Data-Visualization-With-Matplotlib/ │ ├── Matplotlib_Basics.ipynb └── README.md 🌟 Perfect For
- Python Beginners
- Data Science Students
- Machine Learning Enthusiasts
- Data Analysts
- College Projects and Practice
📜 License
This project is open source and available under the MIT License.
⭐ If you found this repository helpful, don’t forget to star it!