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Data Analysis on Global Stratification

Data Analysis on Global Stratification

Kirti Raj Bhatele, Stuti Singhal, Muktasha R. Mithora, Sneha Sharma
Copyright: © 2020 |Pages: 24
ISBN13: 9781799822165|ISBN10: 1799822168|ISBN13 Softcover: 9781799822172|EISBN13: 9781799822189
DOI: 10.4018/978-1-7998-2216-5.ch015
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MLA

Bhatele, Kirti Raj, et al. "Data Analysis on Global Stratification." Multi-Criteria Decision Analysis in Management, edited by Abhishek Behl, IGI Global, 2020, pp. 355-378. https://doi.org/10.4018/978-1-7998-2216-5.ch015

APA

Bhatele, K. R., Singhal, S., Mithora, M. R., & Sharma, S. (2020). Data Analysis on Global Stratification. In A. Behl (Ed.), Multi-Criteria Decision Analysis in Management (pp. 355-378). IGI Global. https://doi.org/10.4018/978-1-7998-2216-5.ch015

Chicago

Bhatele, Kirti Raj, et al. "Data Analysis on Global Stratification." In Multi-Criteria Decision Analysis in Management, edited by Abhishek Behl, 355-378. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2216-5.ch015

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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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