Data Analytics and Visualization in Libraries

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dc.contributor.authorPatnaik, Rachna
dc.date.accessioned2019-12-16T03:11:23Z
dc.date.available2019-12-16T03:11:23Z
dc.date.issued2019-11
dc.description.abstractLibraries play a vital role in supporting research and learning processes. They manage a large store of data about collections to meet the requirements of users. Data in a digital library is growing and data analytics, visualization techniques are trying to make sense of voluminous amount of unstructured data. Space Applications Centre library provides various digital, online services, which generates lot of data in the form of transaction data, metadata and usage data. A large amount of budget is spent in subscription, renewal of e-resources and for accountability; data analytic tools are effective in producing insights from the usage data to understand users and improving library services. This paper attempts toanalyze library transaction data retrieved from KOHA Integrated library management software and usage data of library website and e-resources at the Library of Space Applications Centre,to make decisions inproviding efficient services by understanding and predicting user needs. The operational data is exported into a warehouse, cleaned and analyzed using Python language and its libraries. Matplotlib a data visualization tool is used to visualize the analysis through scatter plot and bar graph and helped us in the renewal of e-resources.en_US
dc.identifier.isbn9789381232095
dc.identifier.urihttp://ir.inflibnet.ac.in/handle/1944/2331
dc.language.isoen_USen_US
dc.publisherINFLIBNET Centre, Gandhinagaren_US
dc.relation.ispartofseriesCALIBER-2019;3
dc.subjectDataen_US
dc.subjectData Analyticsen_US
dc.subjectData Warehouseen_US
dc.subjectInformationen_US
dc.subjectMatplotliben_US
dc.subjectPredictive Analyticsen_US
dc.subjectPythonen_US
dc.subjectVisualizationen_US
dc.titleData Analytics and Visualization in Librariesen_US
dc.typeBook chapteren_US

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