TY - CHAP
T1 - Visual Analytics Toward Prediction of Employee Erosion Through Data Science Tools
AU - Nair, Priyanka
AU - Krishna, Jaya
AU - Srivastava, Devesh Kumar
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2020.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85068131017&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068131017&partnerID=8YFLogxK
U2 - 10.1007/978-981-13-7166-0_71
DO - 10.1007/978-981-13-7166-0_71
M3 - Chapter
AN - SCOPUS:85068131017
T3 - Advances in Intelligent Systems and Computing
SP - 705
EP - 713
BT - Advances in Intelligent Systems and Computing
PB - Springer Verlag
ER -