/Visualizing-the-History-of-Nobel-Prize-Winners

Explore the history of Nobel Prize winners through data visualization and analysis. Analyze trends, gender distribution, and top-performing countries using pandas, seaborn, and numpy.

Primary LanguageJupyter Notebook

Visualizing the History of Nobel Prize Winners

This repository contains files used in the "Visualizing the History of Nobel Prize Winners" project completed as part of the Datacamp Certified Data Analyst Track.

Project Overview

The project explores the history of Nobel Prize winners through data visualization and analysis. It involves loading and preprocessing Nobel Prize dataset, performing exploratory data analysis, and creating insightful visualizations to understand trends over time, gender distribution, top-performing countries, and more.

Files Included

  • nobel.csv: Dataset containing information about Nobel Prize winners.
  • analysis.ipynb: Jupyter Notebook containing the Python code for data preprocessing, analysis, and visualization.
  • Nobel_Prize.png
  • README.md (this file): Overview of the project and repository contents.

Dependencies

The analysis and vizualization are performed using the following libraries:

  • pandas
  • seaborn
  • numpy

Usage

  1. Clone the repository to your local machine.
  2. Open and run the analysis.ipynb notebook using Jupyter Notebook or JupyterLab.
  3. Explore the code, visualizations, and insights derived from the Nobel Prize dataset.

Feel free to fork, modify, or extend the analysis based on your interests or research questions! Maybe try your hands at some vizualizations!