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Matplotlib Data Visualization

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.


Visualizations Included

The notebook includes examples of the following plots:

  1. Line Plot
  2. Multi-Line Plot
  3. Histogram
  4. Bar Chart
  5. Pie Chart
  6. Box Plot
  7. Scatter Plot These plots help in understanding how data can be represented visually for better analysis.

Technologies Used

  • Python
  • Matplotlib
  • Jupyter Notebook

Project Structure

Matplotlib-data-visualization
│
└──plots.ipynb
The notebook contains multiple code cells demonstrating different plotting techniques.

How to Run the Project

1. Install Python
2. Install required library
   pip install matplotlib
3. Open Jupyter Notebook
   jupyter notebook
4. Run the file
   plots.ipynb

Purpose of the Project

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.


Author

Keerthana S

About

A collection of basic data visualization examples using Python and Matplotlib including line plots, bar charts, histograms, pie charts, box plots, and scatter plots.

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