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Visualizing the History of Nobel Prize Winners

BasicSkill Level
4.8+
4,030 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 Visualization
1 hr
1 Task
1,500 XP
34,542

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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 4,030 reviews
82%
18%
0%
0%
0%
  • GB
    2 hours ago

    This project will help consolidate all the concepts we've learned so far.

  • Edgar
    6 hours ago

  • Heather
    9 hours ago

  • Ahmed Raza
    10 hours ago

    practical

  • Maksym
    10 hours ago

  • Grace
    11 hours ago

"This project will help consolidate all the concepts we've learned so far."

GB

Heather

"practical"

Ahmed Raza

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.

    Join over 19 million learners and start Visualizing the History of Nobel Prize Winners today!

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