title: Visualising nursing data using correspondence analysis.
abstract: Digitally stored, large healthcare datasets enable nurses to use 'big data' techniques and tools in nursing research. Big data is complex and multi-dimensional, so visualisation may be a preferable approach to analyse and understand it.
  
  
  
  To demonstrate the use of visualisation of big data in a technique called correspondence analysis.
  
  
  
  In the authors' study, relations among data in a nursing dataset were shown visually in graphs using correspondence analysis. The case presented demonstrates that correspondence analysis is easy to use, shows relations between data visually in a form that is simple to interpret, and can reveal hidden associations between data.
  
  
  
  Correspondence analysis supports the discovery of new knowledge. Implications for practice Knowledge obtained using correspondence analysis can be transferred immediately into practice or used to foster further research.
authors.affiliation: Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia.
authors.forename: Peter
authors.initials: P
authors.lastname: Kokol
authors.affiliation: Faculty of Health Sciences, Center for International Cooperation, University of Maribor.
authors.forename: Helena
authors.initials: H
authors.lastname: Blažun Vošner
authors.affiliation: University College of Health Sciences, Slovenj Gradec, Slovenia.
authors.forename: Danica
authors.initials: D
authors.lastname: Železnik
mesh_terms: D003196:Computer Graphics; D003625:Data Collection / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D066264:Datasets as Topic; D001330:Electronic Data Processing; D000069550:Machine Learning; D009730:Nursing Assessment / Q000706:statistics & numerical data; D015399:Nursing Research / Q000706:statistics & numerical data*; D010351:Patient Discharge; D011182:Postoperative Care / Q000451:nursing
keywords: big data; correspondence analysis; data analysis; datasets; nurse researcher; nursing research; visualisation