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Beyond double bar charts: The value of dot charts with ordered category clustering for reporting change in evaluation research
Author(s) -
Sinacore James M.
Publication year - 1997
Publication title -
new directions for evaluation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.374
H-Index - 40
eISSN - 1534-875X
pISSN - 1097-6736
DOI - 10.1002/ev.1059
Subject(s) - cluster analysis , bar chart , computer science , bar (unit) , value (mathematics) , data mining , information retrieval , data science , statistics , artificial intelligence , mathematics , machine learning , physics , meteorology
Although double bar charts are commonly used to report a change in quantity, they can obscure information and make analysis difficult. Dot charts coupled with ordered category clustering offer a better alternative.