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Health and Economy Analytics on World Bank Data

Author(s):

Aarya Vardhan Reddy Paakaala , MVSR Engineering College; Chandrakanth Reddy Nomula, MVSR Engineering College

Keywords:

Multiple Linear Regression, WDI

Abstract

World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available and includes national, regional and global estimates. This statistical reference includes over 800 indicators covering more than 150 economies. This paper aims at preprocessing and grouping the WDI of India and USA into health and economy datasets respectively and conducting data analytics on them. Multiple linear regression is performed on the health-based and economy-based indicators of India and USA respectively, to generate predictions and compare them with actual values to understand the concept behind the multiple linear regression model. Additionally, data visualization tool is used to provide a graphical understanding of the data over the years. These results can be useful for businesses, NGOs to find new opportunities and also helps normal people to better understand various data indicators for India and USA.

Other Details

Paper ID: IJSRDV6I40772
Published in: Volume : 6, Issue : 4
Publication Date: 01/07/2018
Page(s): 863-864

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