This video explains everything about the Post-hoc tests. Post-hoc tests are the tests which tells us where exactly the significant differences exist within means in multiple comparisons of means after testing the ANOVA (which only tells us the overall differences).
Tukey HSD, Bonferroni's Correction, Fisher's Least Significant Difference (LSD) test, Duncan's new multiple range test (MRT or DMRT) are explained in this video.
If you feel to learn more about which statistical method should be used please watch the videos in this playlist:
https://youtube.com/playlist?list=PL9XvIvvVL50EIIx3LSl0QRTOxyrlKjHNq

If you want to make publication ready figures, implementing these all (Tukey HSD, Bonferroni's Correction, Fisher's Least Significant Difference (LSD) test, Duncan's new multiple range test (MRT or DMRT)) tests, watch this playlist of publication ready figure in R:
https://youtube.com/playlist?list=PL9XvIvvVL50Hi2RGu-zlNEnk9WJMjPH-g

On top of that, here is the complete Data Science Couse in Urdu/Hindi using R:
https://youtube.com/playlist?list=PL9XvIvvVL50E8HimtAnVL8N70MqImYOLS