For this assignment, I plan to use the Nobel Prize organization’s
publicly available APIs to explore historical trends and patterns among
Nobel Prize laureates. I will retrieve the data in JSON format and use R
packages such as httr, jsonlite,
dplyr, tidyr, and ggplot2 to
extract, clean, transform, and visualize the information.
My analysis will focus on four questions:
- Which Nobel Prize categories have awarded the most
prizes? I will compare the number of prizes awarded across
categories to identify differences in their historical
distributions.
- How has the number of Nobel Prizes awarded changed over
time? I will examine annual trends and visualize how prize
distributions have evolved.
- What is the gender distribution of Nobel laureates across
different prize categories? I will compare the representation
of male and female laureates across categories using percentages rather
than only counts.
- Which countries have produced the most Nobel laureates, and
how do their birth countries compare with their affiliations at the time
of receiving the award? This question will involve combining
and comparing fields across the JSON data to explore geographic patterns
and potential differences between birthplace and institutional
affiliation.
I plan to transform the nested JSON structures into tidy data frames,
address missing or inconsistent values, and use appropriate tables and
visualizations to answer each question. My goal is to demonstrate how
JSON data can be retrieved and transformed in R while identifying
meaningful historical, demographic, and geographic trends in Nobel Prize
awards.