Significance of Graphical representation
Graphical representation is a method of visually depicting data collected during a study. It encompasses various formats, including tables, graphs, and charts, to illustrate correlations and trends among variables. Examples include showcasing FTIR spectra in herbal medicine analysis, illustrating beta-blocker usage among patients based on discharge status, and presenting corrosion rates. This visual representation serves to enhance understanding of the data, making it an essential tool in conveying experimental results and statistical outcomes in various research fields.
Synonyms: Visual representation, Pictorial representation, Graphical display, Chart, Diagram, Plot, Illustration, Figure, Map
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Graphical representation in scientific sources
Graphical representation visually depicts data collected in studies, illustrating correlations between variables. It serves as a vital tool in statistical analysis, effectively presenting outcomes and relationships for better understanding and interpretation.
From: World Journal of Pharmaceutical Research
(1) Visual display of data that helps in illustrating the stability and kinetics of quetiapine fumarate.[1] (2) Visual illustration of the Minimum Inhibitory Concentration findings for Cuscuta reflexa samples.[2] (3) Visual data depiction such as tables or graphs used to convey experimental results.[3] (4) Visual displays (such as charts or figures) illustrating data trends, particularly about age and gender distribution of patients.[4] (5) A visual depiction of the percentage of beta-blocker users among patients, differentiated based on their discharge status.[5]
From: AYU (Journal of Research in Ayurveda)
(1) Visual presentation of data used in statistical analysis to depict outcomes or correlations.[6]
From: International Ayurvedic Medical Journal
(1) A visual depiction of data collected during the study, illustrating correlations between variables.[7]