DVP - Data Visualization with Python

Welcome! This repository has been fully upgraded to interactive Jupyter Notebooks (.ipynb) to provide a hands-on, engaging, and premium learning experience for Data Visualization with Python (DVP).

Each topic is structured into individual notebooks featuring rich Markdown headers, step-by-step descriptions, and interactive code cells that let you run and visualize outcomes in real-time.

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Repository Structure

The repository is organized into structured chapters:

1. 01_Python_Basics:
   • 01.ipynb: Student Test Scores Average Calculator & Palindrome/Digit Frequency Checker.
2. 02_Functions_and_Conversions:
   • 02.ipynb: Fibonacci Sequence Generator & Number System Conversions.
3. 03_String_Manipulation:
   • 03.ipynb: Sentence Character & Word Analyzer & String Similarity Calculator.
4. 04_Matplotlib_Bar_Scatter:
   • 04.ipynb: Categories Bar Plot Visualization & Bubble Scatter Plot of Chocolate Sales.
5. 05_Matplotlib_Histogram_Pie:
   • 05.ipynb: Grade Distribution Histogram & Forest Cover Pie Chart.
6. 06_Matplotlib_Linear_Plotting:
   • 06.ipynb: Multi-Line Linear Equations Plotting & Advanced Formatting.
7. 07_Seaborn_Customization:
   • 07.ipynb: Multi-chart Statistical Dashboard (Joint plot, KDE, Heatmap, Pair plot, Box/Regression plots).
8. 08_Bokeh_Linegraph:
   • 08.ipynb: Interactive Line Graphs & Multi-plot Bokeh Dashboard.
9. 09_Plotly_3D:
   • 09.ipynb: Interactive 3D Surface Plots & 3D Scatter Plots using Plotly.
10. 10_Plotly_TimeSeries_Maps:
    • 10.ipynb: Financial Time-Series Visualizations & Global Earthquake Map.

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Installation & Setup

To run these interactive notebooks locally, we recommend using a Python virtual environment.

1. Setup Virtual Environment

• Create a virtual environment:

  python -m venv venv

• Activate the virtual environment:
  • Windows (Command Prompt / PowerShell):

    venv\Scripts\activate

  • Mac / Linux:

    source venv/bin/activate

2. Install Dependencies

Install all required visualization and Jupyter tools with:

pip install -r requirements.txt

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How to Run the Notebooks

There are two main ways to run these notebooks locally:

Option A: Using Visual Studio Code (Recommended)

1. Open Visual Studio Code and load the project repository folder.
2. Install the Python and Jupyter extensions from the VS Code Marketplace.
3. Open any .ipynb file.
4. Select the venv virtual environment as your active kernel in the top-right corner.
5. Click Run All or execute individual cells sequentially!

Option B: Using Jupyter Classic / JupyterLab

1. Start the Jupyter environment from your terminal:

   jupyter lab

   or

   jupyter notebook

2. Your browser will open the Jupyter File Tree. Navigate to any folder and select a notebook.
3. Run the cells step-by-step using Shift + Enter!