# Data Visualization using Matplotlib //////////////////////////////////////////////// This is a Python project that demonstrates how to create data visualizations using the Matplotlib library. --------------------------------------------------------------------------------------------------------- Matplotlib is a powerful library for creating a wide range of visualizations, including; 1. Line Plots, 2. Bar Plots, 3. Scatter Plots, 4. Histograms, and more. # REQUIREMENTS ////////////// To run this project, you will need to have the following installed: Python (version 3.6 or later) Matplotlib (version 3.4.2 or later) To install the required dependencies, run the following command: ###pip install matplotlib or Direct use JUPYTER NOTEBOOK IN YOUR BROWSER. ________________________________________________________________ # USAGE ------- To run the project, simply run the visualization.py file using the following command: ###python visualization.py This will generate a series of data visualizations based on the data provided in the data.csv file. Or you can create by your required data or create your own csv data file. ____________________________________________________________________________________________________ # FILES /////// The project contains the following files: visualization.py: This file contains the Python code for creating the data visualizations. data.csv: This file contains the data that is used for the visualizations. Or you can create your own csv files or do according to the given data sheet ----------------------------------------------------------------------------------------- # VISUALIZATIONS //////////////// This project generates the following data visualizations: Bar plot: This visualization shows the distribution of the data across 10 years of export revenew list. ______________________________________________________________________________________________________ ////////////////// # CONCLUSION ///////////////// This project demonstrates how to create a range of data visualizations using the Matplotlib library in Python. By analyzing these visualizations, we can gain insights into the data and use this information to make informed decisions. ___________________________________________________________________________________________________________________________ # T H A N K Y O U . ///////////////