Data Analysis on Global Stratification

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Author(s): Kirti Raj Bhatele (Rustamji Institute of Technology, India & BSF Academy, Gwalior, India), Stuti Singhal (Rustamji Institute of Technology, India & BSF Academy, Tekanpur, India), Muktasha R. Mithora (Rustamji Institute of Technology, India & BSF Academy, Gwalior, India)and Sneha Sharma (Rustamji Institute of Technology, India & BSF Academy, Tekanpur, India)
Copyright: 2020
Pages: 24
Source title: Multi-Criteria Decision Analysis in Management
Source Author(s)/Editor(s): Abhishek Behl (Indian Institute of Technology, Bombay, India)
DOI: 10.4018/978-1-7998-2216-5.ch015

Keywords: Business & Management / Business Science Reference / Decision Support Systems / Management Science

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Abstract

This chapter will guide you through the modeling, uses, and trends in data analysis and data science. The authors focus on the importance of pictorial data in replacement of numeric data. In most situations, graphical representation of data can present the information more distinctly, informative, and in less space than the same information requires in sentence form. This chapter provides a brief knowledge about representing data to more understandable form such that any person whether layman or not can understand it without any difficulty. This chapter also deals with the software Tableau which we use to convert the table data into graphical data. This Chapter contains 11 heat maps related to the world economies and their detailed study on several different topics. It will also give light on the basics of Python Language and its various algorithm studies to compare all the world economies based on their development.

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