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

@@ -48,6 +48,8 @@ We'll primarily use the files **Batting.csv**, **People.csv**, and **Teams.csv**
 
 As a brief example, this is what the top of the **Batting.csv** file looks like:
 
+![Batting table](https://raw.githubusercontent.com/codedex-io/projects/refs/heads/main/projects/analyze-baseball-stats-with-pandas-and-matplotlib/batting-table.png)
+
 Each row represents the batting information for a player for a given year. For example, the first row shows that the player with the ID of `aardsda01` only played in `11` games in `2004` and had no hits or runs!
 
 When looking at new data, it can also be helpful to look for the official data dictionary for the dataset. It can often be hard to interpret column names - for example, if you're not a baseball fan, you might not know what the column `AB` represents. Looking at the documentation file can help clear up any questions. In this case, we can look at **readme2025.txt** to learn that `AB` is "At Bats" (the number of times the player was up to the plate).