resultsfigures

Resultsfigures are graphical representations of the outcomes of experiments, simulations, or analyses as presented in research projects. They are designed to convey key findings clearly and succinctly, complementing the narrative and statistical results described in the text. In standard scholarly practice, resultsfigures appear in the Results section and are referenced in the discussion of findings.

Typical forms of resultsfigures include bar charts and line graphs that show trends or group differences, scatter plots that reveal correlations, box or violin plots that summarize distributions, heatmaps that display matrix-like data, and specialized plots such as ROC curves, confusion matrices, survival curves, or forest plots. Composite figures that combine multiple panels are also common to compare several outcomes or conditions side by side.

Design and interpretation considerations matter. Figures should have readable captions that summarize the main takeaway, clearly labeled axes with units, and appropriate scales. Color palettes should be accessible to colorblind readers, and uncertainty should be depicted with error bars, confidence intervals, or shading.

Figures should be self-contained: they should make sense with minimal reliance on the main text and should be reproducible when data and code are available.

Best practices include avoiding overcrowding, maintaining consistent styling across figures, and ensuring that each figure is explicitly tied to a result described in the text. Properly labeled figures support transparency and facilitate critique and replication.