Nobel Prize Laureate Data Analysis

Author

Pascal Hermann Kouogang Tafo

INTRODUCTION

The Nobel Prize dataset constitutes a uniquely comprehensive register of high-impact scientific and humanistic contribution spanning more than a century. This assignment outlines a data-driven investigation into the Nobel Prize dataset using a systematic API-to-Tidyverse workflow.

APPROACH

To resolve this Nobel Prize organization task, we will do as followed:

Data Acquisition: we will use GET requests to pull the laureate and nobel Prize endpoints.
Utilize jsonlite with flatten = TRUE and handle list-columns created by laureates who have won multiple prizes.
We will transform the Data by joining laureate biographical data with prize data to create a master data frame.
We will perform analysis, where we will Execute four targeted queries, including at least one multi-variate join against the master data frame.