DVP-Practical

M.Sc. Data Science and Analytics — Semester II

Course: Data Visualization and Presentation

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📖 About This Repository

This repository contains the practical code codebase and exercises for the Data Visualization and Presentation course. It serves as a comprehensive resource for data storytelling and visual analytics, featuring a collection of Jupyter Notebooks that demonstrate various plots and data manipulation techniques.

🛠 Technologies Used

• Language: Python
• Libraries:
  • pandas
  • seaborn
  • matplotlib
  • plotly

📂 Repository Contents

1. Fundamental Visualizations

• Implementation of Bar Charts, Pie Charts, and Line Graphs.
• Creation of Histograms for frequency distribution analysis.

2. Statistical & Distribution Analysis

• Boxplots for detecting outliers and understanding data spread.
• Heatmaps for correlation matrices and intensity visualization.
• Scatter Plots for analyzing relationships between variables.

3. Advanced & Hierarchical Plots

• Treemaps for displaying hierarchical data structures.

4. Data Preprocessing for Visualization

• Data Aggregation: Techniques to summarize data before plotting.
• Normalization: Scaling data for accurate comparative analysis.
• DataFrame Operations: General manipulation using Pandas to prepare datasets for presentation.

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📂 Repository Structure

├── 📁 01_Basic_Plots            # Intro to Line, Bar, and Scatter plots
├── 📁 02_Advanced_Visuals       # Heatmaps, Treemaps, and EDA
├── 📁 03_Statistical_Analysis   # Boxplots, Aggregation, and Normalization
├── 📁 practical                 # Core practical assignments                 
├── 📄 README.md                 # Project overview and instructions
└── 📄 requirements.txt          # Python dependencies

🚀 Getting Started

To ensure a smooth experience with these practicals, follow the steps below to set up your environment.

1. Prerequisites

Ensure you have Python 3.8+ installed on your system.

2. Clone the Repository

Open your terminal (Command Prompt, PowerShell, or Git Bash) and run the following command:

git clone [https://github.com/ramakanth0405/DVP-Practical.git](https://github.com/ramakanth0405/DVP-Practical.git)

cd DVP-Practical

pip install -r requirements.txt