We aim to analyze the **gender distribution** across **all categories** of the awards, including Economic Sciences, Physics, Chemistry, Peace, Physiology or Medicine, and Literature, to identify which gender predominates in each field.

We will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes. EDA serves as a foundational step that enables data scientists and analysts to uncover patterns, anomalies, and insights from data through visual and statistical methods.

In this project, we will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes.

Conducting Exploratory Data Analysis of Nobel Prizes

Proportion of Females

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