diff --git a/README.md b/README.md
index 90f0850..c4bd36c 100644
--- a/README.md
+++ b/README.md
@@ -266,7 +266,7 @@ Further analysis included the creation of a Euclidean distance matrix plot to vi
  Finally, a parallel axis plot was generated to examine the relationship between data features and the clusters. Notably, this plot highlighted the ventricular rate feature as a significant separator in the original labels, underscoring its importance as identified by our machine learning models in predicting the labels.
 
 
-![Alt-Text](readme_data/Cluster_analysis.png)
+![Alt-Text](readme_data/cluster_analysis.png)
 
 
 <br>The detailed procedures can be found in the following notebook:
@@ -318,6 +318,7 @@ Key future directions include:
 
 - Integration of additional data sources: Expanding the database to include more diverse datasets from different geographic and demographic contexts could help mitigate local and demographic biases. 
 
+- Visual Data comparsion: With the use of the given ECG data there could be calculated a "standardized" QRS-Complex for every Diagnosisgroup which were examined in this program to classify new unknown ECG data with no prior diagnosis.