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Apr 30, 2023 - Jupyter Notebook
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Predicting Nobel Physics Prize winners. Final project for Harvard CS109a 2017 edition https://github.com/covuworie/a-2017.
An API that gives Nobel laureate's data when requested through few simple routes.
This notebook analyzes Nobel Prize data from 1901 to 2016, exploring factors such as gender, nationality, age, and repeat laureates. It examines trends and patterns, revealing insights about the Nobel Prize's evolution over time, including the dominance of the United States and the representation of women in different prize categories.
Data Analysis
This is an implementation for a DataCamp project: A Visual History of Nobel Prize Laureates. We try to answer the proposed questions and visualize the results.
Data Visualization using a interactive dashboard create in Tableau. Data set has been obtained in Kaggle
nobelPrize is a dynamic web application designed to retrieve data about Nobel laureates from the years 1901-1905.
Analyze Nobel Prize Laureates
Nobel Laureates Search Engine Using Semantic Web
A Visual History of Nobel Prize Winners. The Nobel Prizes are widely regarded as the most prestigious awards given for intellectual achievement in the world. - britannica.com
The Nobel Prize is perhaps the world's most well known scientific award. The first Nobel Prize was handed out in 1901, and at that time the Prize was very Eurocentric and male-focused, but nowadays it's not biased in any way whatsoever. Surely. Right?
Java Final Project for CMPT305 - Pulls a CSV from api.nobelprize.org and parses it into a Threaded JavaFX application for searching
This is an Exploratory Data Analysis Project to analyze and explore the patterns or trends over 100 years worth of Nobel Prize Winners from 1901 to 2016.
PhysicsNobel is the website about people who won the nobel prize in Physics.
Learning Modern Physics via Nobel Prizes
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