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Visualizing the History of Nobel Prize Winners

BasicSkill Level
4.8+
3,669 reviews
Updated 03/2024
Explore a dataset containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
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PythonData ManipulationData Visualization1 hr1 Task1,500 XP33,370

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Project Description

Visualizing the History of Nobel Prize Winners

The Nobel Prize is awarded yearly to scientists and scholars in chemistry, literature, physics, medicine, economics, and peace, with the first prize awarded in 1901. Are there any biases in the way the honors are awarded? Use your data manipulation and visualization skills to explore the history of this coveted prize.

Visualizing the History of Nobel Prize Winners

Explore a dataset containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
Start Project
  • 1

    Explore patterns and trends among Nobel Prize winners.

Don’t just take our word for it

*4.8
from 3,669 reviews
82%
18%
0%
0%
0%
  • Marco
    1 hour ago

  • Sebastian
    4 hours ago

  • Paul
    16 hours ago

    Why do you require the solution to be one value when theres multiple???

  • José Enrique
    20 hours ago

    INCREIBLE APLICACION DE TODO

  • Mohamed Khairallah
    22 hours ago

  • Happiness
    yesterday

Marco

Sebastian

"INCREIBLE APLICACION DE TODO"

José Enrique

FAQs

Is this project suitable for beginners?

Yes, this project is suitable for beginners.

What is the programming language of this project?

The programming language of this project is Python.

Can I add this project to my Data Portfolio?

Yes, you can add this project to your Data Portfolio.

Do I need to download any software to complete this project?

No, you do not need to download any additional software to complete this project.

What is the project description?

The project description is to explore a dataset containing a century's worth of Nobel Laureates. Who won? Who got snubbed?

What are the project tasks?

The project tasks are to explore patterns and trends among Nobel Prize winners.

What are the possible insights from this project?

Possible insights from this project include identifying the most common fields and countries of Nobel Prize winners and tracking changes and trends over time.

Are there any prerequisites for this project?

Some basic knowledge of Python and data analysis may be helpful, but this project is designed for all levels of data enthusiasts.

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