Testing differences between two columns, and which pairs of points are significantly different

I have performed paired t-test

data: compare2$$average_1kpa and compare2$$average_308kpa
t = 14.565, df = 21628, p-value < 2.2e-16
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
25.46339 33.38278
sample estimates:
mean of the differences
29.42308


Does it mean there is a significant difference between the two columns.Also,how to analyse or figure out which rows are actually having significant difference ?

• Yes the two samples are significantly different $p<2.2e-16$. The test does not tell you which pairs are different, since the t-test is a test of means. You could try plotting them. Aug 9, 2019 at 5:59
• I plotted the data and extracted the values which are on between 95 percent confidence interval range.Are those values the cases where there is significant difference ? Aug 9, 2019 at 23:07