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

@@ -350,7 +350,7 @@ batting_with_salary = batting.merge(
 batting_with_salary.head()
 ```
 
-As expected, after performing this join, we're missing salary data about some of the more old-school players.
+As expected, after performing this join, we're missing salary data about some of the more OG players.
 
 ![salary](https://raw.githubusercontent.com/codedex-io/projects/refs/heads/main/projects/analyze-baseball-stats-with-pandas-and-matplotlib/salary.png)
 
@@ -425,7 +425,7 @@ To recap, in this project tutorial, we practiced the following skills in Pandas:
 - Using Matplotlib to graph the results of Pandas operations.
 - Using `.merge()` to join two tables together.
 
-Do you have any favorite players or teams? Shohei Ohtani? Aaron Judge? The Chicago Cubs? We hope that you come up with your own questions about baseball and use your Python and Pandas skills to answer those questions!
+Do you have any favorite players or teams? Shohei Ohtani? Aaron Judge? The Chicago Cubs? We hope that you come up with your own questions about baseball and use your Python and Pandas skills to answer those questions! Let me know what else you find on Twitter/X [@alexbkuntz](https://x.com/AlexBKuntz) or in the comments below.
 
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