Web Scraping of University Rankings and Data Analysis Using Python
Sang, Le (2023)
Lataukset:
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023060220855
https://urn.fi/URN:NBN:fi:amk-2023060220855
Tiivistelmä
The main object of this thesis is to develop a comprehensive approach to gather and analyze university ranking data from scraping data on the web and to understand the principles of web scraping. The thesis aims to utilize web scraping techniques and
Python programming to collect data from the QS universities ranking website, and then perform a detailed analysis of the collected data to gain insights into the trends and patterns of the top 200 university rankings around the world.
This thesis provides a valuable contribution to the field of higher education by demonstrating the usefulness of web scraping and data analysis techniques in exploring university ranking.
Python programming to collect data from the QS universities ranking website, and then perform a detailed analysis of the collected data to gain insights into the trends and patterns of the top 200 university rankings around the world.
This thesis provides a valuable contribution to the field of higher education by demonstrating the usefulness of web scraping and data analysis techniques in exploring university ranking.