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dc.contributor.authorGomathi, S-
dc.contributor.authorRagavi, R P-
dc.contributor.authorMonika, S-
dc.date.accessioned2023-11-10T10:14:50Z-
dc.date.available2023-11-10T10:14:50Z-
dc.date.issued2021-11-18-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-981-15-3284-9_33-
dc.description.abstractThe paper focussed on showing how the data science life cycle can be implemented with the real time data. Rain fall data is used in this research to show how to apply data science life cycle. The dataset consists of multivariate data were visualization has become easier and effective. The data description is shown in the table for better understanding. The various visualization like bar graph, tree map, line graph are shown by using tableau softwareen_US
dc.language.isoen_USen_US
dc.publisherSpringer Linken_US
dc.subjectStatisticsen_US
dc.subjectData analyticsen_US
dc.subjectTableauen_US
dc.subjectDataen_US
dc.subjectRainfallen_US
dc.subjectPredictive analyticsen_US
dc.subjectDiagnostic analyticsen_US
dc.titleIMPLEMENTATION OF STATISTICAL DATA ANALYTICS IN DATA SCIENCE LIFE CYCLEen_US
dc.typeBook chapteren_US
Appears in Collections:3.Book Chapter (4)

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