Update analyze-baseball-stats-with-pandas-and-matplotlib.mdx

Author: sonnynomnom

projects/analyze-baseball-stats-with-pandas-and-matplotlib/analyze-baseball-stats-with-pandas-and-matplotlib.mdx

@@ -224,7 +224,7 @@ It's interesting that you can see the abbreviated 2020 season in this graph! The
 
 Another fun visualization that you can create is a comparison of your favorite team's stats to the rest of the league. I grew up in Denver, so my team is the [Colorado Rockies](https://en.wikipedia.org/wiki/Colorado_Rockies), who have been laughably bad for the majority of my life. 😅
 
-That being said, there is an interesting phenomenon with the Rockies: **it is very easy to hit home runs in Denver because of the altitude**. As a result, even though the Rockies are generally a fairly weak team, they end up hitting more home runs than their competitors. 
+That being said, there is an interesting phenomenon with the Rockies: **it is very easy to hit home runs in Denver because of the high altitude**. The city sits 5,280 feet (1,609 meters) above sea level. The lower air pressure means fewer air molecules to slow the ball down. As a result, even though the Rockies are generally a fairly weak team, they end up hitting more home runs than their competitors. 
 
 Let's graph the Rockies' home runs every year against the league average!