diff --git a/plot_metrics.py b/plot_metrics.py
index a8686bc..02d1327 100644
--- a/plot_metrics.py
+++ b/plot_metrics.py
@@ -15,7 +15,7 @@ def read_metrics(file_path):
 file_path = 'project/metrics.yaml'  # Replace with your file path
 runs = read_metrics(file_path)
 
-#Flatten data into a list of dictionaries
+# Flatten data into a list of dictionaries
 data = []
 for run in runs:
     if 'build' in run:
@@ -23,7 +23,7 @@ for run in runs:
 
     if 'code_gen' in run:
         data.append({'Task': run['n_task'], 'Type': 'Generation Time', 'Time': float(run['code_gen']['gen_time'])})
-    
+
     if 'deploy' in run:
         data.append({'Task': run['n_task'], 'Type': 'Deployment Time', 'Time': float(run['deploy']['components_deploy_time'])})
 
@@ -43,9 +43,9 @@ def plot_boxplot(metric, filename, color):
     medians = subset.groupby('Task')['Time'].median()
     for i, task in enumerate(medians.index):
         median_value = medians[task]
-        plt.text(i, median_value, f'{median_value:.3f}', ha='center', va='center', fontsize=10, color='white', 
+        plt.text(i, median_value, f'{median_value:.3f}', ha='center', va='center', fontsize=10, color='white',
                  bbox=dict(facecolor='black', alpha=0.6, boxstyle='round,pad=0.3'))
-    
+
     plt.ylabel('Time (seconds)')
     plt.grid(True, linestyle='--', alpha=0.7)
     plt.tight_layout()
@@ -58,13 +58,11 @@ def plot_lineplot(metric, filename, color):
     plt.figure(figsize=(10, 6))
     sns.lineplot(x='Task', y='Time', data=subset, errorbar=('ci', 95), color=color, linewidth=2, marker='o')
 
-    # Fill missing x-axis values
     min_task = subset['Task'].min()
     max_task = subset['Task'].max()
     all_tasks = np.arange(min_task, max_task + 1)
     plt.xticks(all_tasks)
 
-    # Label points
     for i, row in subset.groupby('Task')['Time'].median().reset_index().iterrows():
         plt.text(row['Task'], row['Time'], f'{row["Time"]:.3f}', ha='center', va='bottom', fontsize=10)
 
@@ -75,14 +73,34 @@ def plot_lineplot(metric, filename, color):
     plt.savefig(f'benchmark/{filename}')
     plt.close()
 
+# Function to plot bar plot with confidence intervals
+def plot_barplot(metric, filename, color):
+    subset = df[df['Type'] == metric]
+    plt.figure(figsize=(10, 6))
+    sns.barplot(x='Task', y='Time', data=subset, color=color, errorbar=('ci', 95))
+
+    means = subset.groupby('Task')['Time'].mean()
+    for i, task in enumerate(means.index):
+        mean_value = means[task]
+        plt.text(i, 0, f'{mean_value:.3f}', ha='center', va='bottom', fontsize=10, alpha=0.7)
+
+    plt.ylabel('Time (seconds)')
+    plt.grid(True, linestyle='--', alpha=0.7)
+    plt.tight_layout()
+    plt.savefig(f'benchmark/{filename}')
+    plt.close()
+
 # Plot each metric separately
 plot_boxplot('Build Time', 'build_time_boxplot.png', 'skyblue')
 plot_lineplot('Build Time', 'build_time_lineplot.png', 'skyblue')
+plot_barplot('Build Time', 'build_time_barplot.png', 'skyblue')
 
 plot_boxplot('Generation Time', 'gen_time_boxplot.png', 'lightgreen')
 plot_lineplot('Generation Time', 'gen_time_lineplot.png', 'lightgreen')
+plot_barplot('Generation Time', 'gen_time_barplot.png', 'lightgreen')
 
 plot_boxplot('Deployment Time', 'deploy_time_boxplot.png', 'salmon')
 plot_lineplot('Deployment Time', 'deploy_time_lineplot.png', 'salmon')
+plot_barplot('Deployment Time', 'deploy_time_barplot.png', 'salmon')
 
-print('Plots saved successfully in "benchmark" directory!')
\ No newline at end of file
+print('Plots saved successfully in "benchmark" directory!')