Visual Analytics Toward Prediction of Employee Erosion Through Data Science Tools

Priyanka Nair, Jaya Krishna, Devesh Kumar Srivastava

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)


Effective data visualization in business intelligence is an indispensable unit. The exercise of visual analytics furnishes the interactive platform to facilitate sterling user experience. With a suitable predictive algorithm to predict the outcome and visual analytics, we can generate consequential reports coalescing and combining end users’ knowledge and reasoning capability. The primary tools that are used for analytics need to serve the purpose on two ends, i.e., efficient data analysis and effective data visualization. R has gained colossal popularity when it comes to its excellent data visualization potential. Moreover, with data visualization tools like Microsoft Power BI and Tableau, compelling visuals with dashboard and excellent report can be created by integration with R and incorporating R scripts and R plugins. The paper aims to scrutinize the power of visualization in predictive analytics employing rich R visuals assisted by powerful visualization tools.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Number of pages9
Publication statusPublished - 2020

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)


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