This project demonstrates different types of data visualization techniques using Python and the Matplotlib library. It contains simple examples for beginners to understand how different plots are created.
The notebook includes examples of the following plots:
- Line Plot
- Multi-Line Plot
- Histogram
- Bar Chart
- Pie Chart
- Box Plot
- Scatter Plot These plots help in understanding how data can be represented visually for better analysis.
- Python
- Matplotlib
- Jupyter Notebook
Matplotlib-data-visualization
│
└──plots.ipynb
The notebook contains multiple code cells demonstrating different plotting techniques.
1. Install Python
2. Install required library
pip install matplotlib
3. Open Jupyter Notebook
jupyter notebook
4. Run the file
plots.ipynb
The main objective of this project is to learn and demonstrate basic data visualization using Python. It is useful for beginners who want to understand how different graphs are created using Matplotlib.