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.
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.
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.
The analysis and vizualization are performed using the following libraries:
- pandas
- seaborn
- numpy
- Clone the repository to your local machine.
- Open and run the
analysis.ipynb
notebook using Jupyter Notebook or JupyterLab. - 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!