asic-Data-Visualization-in-Python

A simple Python project using Matplotlib and Seaborn to visualize the Seaborn tips dataset. Includes a line plot, scatter plot, histogram, and box plot. Inspired by Microsoft Fabric’s data science tutorial. Great for beginners exploring basic data visualization techniques. ✅ Project Summary: Basic Data Visualization in Python Objective:

📊 Basic Data Visualization with Matplotlib and Seaborn

This project demonstrates simple and effective data visualization techniques using Python's Matplotlib and Seaborn libraries. It explores the real-world tips dataset and showcases how to generate common plots for data analysis.

🧰 Tools Used

• Python 3.x
• Matplotlib
• Seaborn
• Pandas

📁 Dataset

The tips dataset is included in Seaborn and contains information about restaurant bills, tips, and customer demographics.

📌 Features

• Line Plot – Visualizes trends in total bills over time
• Scatter Plot – Shows the relationship between total bill and tip
• Histogram – Displays the frequency distribution of total bills
• Box Plot – Compares total bill distributions across different days

🖥️ How to Run

1. Clone the repository:

   git clone https://github.com/your-username/data-visualization-matplotlib-seaborn.git
   cd data-visualization-matplotlib-seaborn
   
   

Create basic line and scatter plots using Matplotlib

Visualize a real-world dataset with histograms and box plots using Seaborn

Dataset Used: tips dataset from the seaborn library.

Reference Guide: Microsoft Fabric Data Science Tutorial – Explore and Visualize Data 🎥 Screen Recording of Presentation You can create a screen recording using:

Windows: Xbox Game Bar (Win + G)

Mac: QuickTime Player

Cross-platform: OBS Studio or Loom

Demo Plan (Suggested Structure for Your Recording – 1–2 mins):

Brief intro (explain objective of project)

Show your code in VS Code / Jupyter

Run each cell and explain what’s happening

Conclude with insights from the charts

Upload your screen recording to:

Google Drive

YouTube (Unlisted)

Loom

OneDrive

Then, share the link as part of your project submission.

✅ Submission Checklist Task Status Line plot with Matplotlib ✅ Scatter plot with Matplotlib ✅ Histogram with Seaborn ✅ Box plot with Seaborn ✅ Reference guide used ✅