diff --git a/p2/quest/090225_biber_pca_plot.png b/p2/quest/090225_biber_pca_plot.png
index db77ca8..b0fac34 100644
Binary files a/p2/quest/090225_biber_pca_plot.png and b/p2/quest/090225_biber_pca_plot.png differ
diff --git a/p2/quest/neurobiber-pca.log b/p2/quest/neurobiber-pca.log
index 332705c..537ccbb 100644
--- a/p2/quest/neurobiber-pca.log
+++ b/p2/quest/neurobiber-pca.log
@@ -1,5 +1,5 @@
-starting the job at: Tue Sep  2 15:34:49 CDT 2025
+starting the job at: Tue Sep  2 15:49:08 CDT 2025
 setting up the environment
 running the neurobiber labeling script
 job finished, cleaning up
-job pau at: Tue Sep  2 15:35:35 CDT 2025
+job pau at: Tue Sep  2 15:49:52 CDT 2025
diff --git a/p2/quest/python_scripts/neurobiber_PCA.py b/p2/quest/python_scripts/neurobiber_PCA.py
index b0804ca..ce427fa 100644
--- a/p2/quest/python_scripts/neurobiber_PCA.py
+++ b/p2/quest/python_scripts/neurobiber_PCA.py
@@ -16,6 +16,7 @@ def format_df_data(df):
 
 if __name__ == "__main__":
     biber_vec_df = pd.read_csv("/home/nws8519/git/mw-lifecycle-analysis/p2/quest/072525_pp_biberplus_labels.csv", low_memory=False)
+    biber_vec_df = biber_vec_df[biber_vec_df['comment_type'] == 'task_description']
     biber_vecs = format_df_data(biber_vec_df)
     #handoff to PCA model
     pca = PCA(2)  
@@ -23,7 +24,7 @@ if __name__ == "__main__":
         
     #first looking at comment_type
     le = LabelEncoder()
-    colors = le.fit_transform(biber_vec_df['phase'])
+    colors = le.fit_transform(biber_vec_df['source'])
 
     plt.scatter(biber_vecs_pca[:, 0], biber_vecs_pca[:, 1],
             c=colors, edgecolor='none', alpha=0.5, cmap="viridis")