It is recommended to show the region of uncertainty (confidence interval, prediction interval, etc.) around the point estimate in the plots.

If you put side by side on a bar chart diagram, the interval of confidence (either 90, 95 or 99%) then if any overlapping of the confidence interval would mean non-siginficant.

Say group 1 has a mean X and  confdence interval  X plus or minus 95%CI and a group 2 has mean of Y plus or minus 95%CI. Any overlapping of confidence interval of the two group  would indicate no statistical difference  between the two groups at level 95%. Same with 90 or 99% vele of confidence. A bar chart with confidence interval or boxplot can add up on the graph confidence interval

see

https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#boxplot_toc.htm

or proc gchart option vbar with clm=your level of confidence

https://www.sas.com/content/dam/SAS/en_ca/User%20Group%20Presentations/Saskatoon-User-Group/Tagore-Proc-GCHART.pdf

Also this is useful

https://blogs.sas.com/content/iml/2011/10/07/creating-bar-charts-with-confidence-intervals.html

A. Robichaud, it is worth stressing what you mean by giving the different confidence intervals levels and how these map onto the alpha levels of the significance test. I know teaching intro stats some students think that at least in the simple case (with multiple comparisons, for example) that 95% -> 5%. Of course they learn otherwise, but it is worth making this explicit for the RG audience.  You would not want readers to think that if the 95% confidence intervals overlap that it implies the test is non-significant at alpha=.05. Attached is an example with p=.01 (I show both the equal variance t-test and Welch's test) and the 95% intervals overlap. 

Thanks Daniel and Robichaud.

kindly clarify me

is non-significant data of particular parameter represent in chart ? (Yes/ No)

If yes, How to represent ?