Yes — two different data analysis platforms (e.g., R and OriginPro) can indeed show different-looking graphs for the same dataset, even though the underlying inference remains the same.

Sonali Priyadarshini , Yes, two data analysis platforms can show different graphs for the same dataset. The difference is often generated from varying in visualization styles used by default settings, plotting library, or each platform. For example, a platform can display a chart once, while the other shows a line graph for the same values. Despite the visual difference, both the gradations can still express the same underlying conclusion or trend from the data. The key is that the interpretation remains consistent, even if the representation is different. Thus, the visualisation style may change, but the conclusion drawn from the dataset may remain the same.

Indeed, two analysis platforms can generate graphs that differ in appearance even when derived from the same dataset, owing to variations in default parameters, plotting algorithms, or preprocessing procedures. Nevertheless, when these settings are standardized across platforms, the resulting visualizations should converge.

Yes — different platforms can produce visually different graphs for the same dataset, but as long as they are based on the same statistical summaries, they will lead to the same inference. What matters is not the style of the graph but the underlying evidence it conveys.