Project

Nobel Laureates

Hard

143 completions

~ 21 hours

4.5

This project will introduce you to the JSON file format and give you a chance to recall data preprocessing techniques. Finally, you will learn about pie plots, histograms, and box plots and visualize your data with Matplotlib.

Provided by

JetBrains Academy

About

Medical researchers have found that if the medicine label contains only text, a person learns only 70% of the information on it. But if a piece of instructions has pictures, a person will learn 95%. In this project, you will explore data about Nobel laureates and apply Python tools for visualization. Start with data cleaning that includes handling missing values and dealing with duplicates. Then proceed to the data visualization. By the end of the project, you will get the graphs showing the main insights for the dataset.

Training project

This project allows you to practice and strengthen your coding skills, helping you get ready for more advanced tasks ahead.

What you'll learn

Once you choose a project, we'll provide you with a study plan that includes all the necessary topics from your course to get it built. Here’s what awaits you:

Explore JSON file format and load the data into a DataFrame. Modify the DataFrame to suit further needs.

There are several columns that contain the information on birthplace. In this stage, you need to reduce that information into one comprehensive column.

Get the age of obtaining the Nobel Prize for each Nobel laureate by using the information from various columns.

Plot a pie chart representing the fraction of the Nobel laureates by country.

Plot a grouped bar chart representing the number of male and female Nobel laureates in each category.

Plot a box plot to illustrate the distribution of ages of winning the Nobel Prize in each category.

Reviews

Tomas Kanuch

4 weeks ago

5.0

I have learned working with pandas: importing JSON data, cleaning dataframe,modifying dataframe. Extracting basic statistics from dataframe to create pie, bar and box plots

Andrew Close

1 year ago

4.3

I have learned how to read data from various sources, how to interpret said data, how to modify the data, and how to write the data to various sources, all with the pandas library.

User 619502234

1 year ago

5.0

I've learned how to deal with dataframe and explore them in detail.

4.5

Learners who completed this project within the Introduction to Data Science course rated it as follows:

Usefulness

4.6

Fun

4.4

Clarity

4.5