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Overview:

The Nobel Prize Analysis explores the cities and institutions responsible for the most discoveries related to Nobel Prizes. It aims to identify geographical and institutional trends in the distribution of Nobel Prizes across various categories.

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Key Features:

1. Data Processing with Pandas:

The analysis begins by loading the Nobel Prize dataset using pandas to handle large amounts of data efficiently, including the cities and institutions associated with discoveries.

2. Data Cleaning:

The dataset is cleaned to remove incomplete or irrelevant data, ensuring accuracy in the analysis of Nobel Prize distributions.

3. Summarization by Group:

Key metrics, such as the number of Nobel Prizes awarded, are summarized by cities and institutions to identify which regions and organizations contribute the most.

4. Visualization with Matplotlib:

Graphs are generated using matplotlib to visually present trends, such as which cities and institutions have made the most Nobel-winning discoveries across various categories.

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Links:

• GitHub