Uncovering Hidden Insights: Analyzing Recession with Data Science

Autor: null G. Thippanna, null T. Aditya Sai Srinivas, null A. David Donald, null K. Rekha, null I. Dwaraka Srihith
Rok vydání: 2023
Předmět:
Zdroj: International Journal of Advanced Research in Science, Communication and Technology. :76-82
ISSN: 2581-9429
DOI: 10.48175/ijarsct-9010
Popis: The global economy is no stranger to recessions, which can have severe impacts on businesses, individuals, and entire nations. As a result, it is essential to analyze economic data to identify and understand recession patterns, allowing for effective policy-making and planning. In this paper, we explore the use of Python as a tool for recession analysis. We discuss various techniques for data collection, processing, and analysis using popular Python libraries such as Pandas, NumPy, and Matplotlib
Databáze: OpenAIRE