Data Storytelling Description Model for Classification Analysis Results
[Purpose/significance]Classification analysis has been widely used in social life.Constructing a data storytelling descrip-tion model for classification analysis results is aiming at generating the data story and exerting the explanatory function of data sto-ries.[Method/process]In this study,literature research method and model construction method are comprehensively applied,and the research is carried out according to the path of"question raising-requirement identification-content extraction-model design".BPMN method is used to design the process of data story-based description.Then it explores the content modules and key activities of data story-based description model construction.Finally,the data story description model is formed.[Result/conclusion]In this study,the needs and contents of data storytelling description include:story context,descriptive statistics of data and interpretation of classification analysis results.The data story content module including the story context,the descriptive statistics and the explanation is extracted.And the descriptive model containing characters,events,and plots are constructed.Finally,the model was constructed on UCI Breast-Cancer data set to realize the practical application of this study.[Innovation/limitation]This study proposes a data story-telling description model for classification analysis results.In the future,the generalization of this description model will be enhanced by combining the characteristics of other types of analysis results,and the task of automatically generating data stories will be re-searched.
classification analysisclassification analysis resultsdata storytellingdata storytelling descriptionmodel construction
NETL
NSTL
万方数据
