# Prepare additional metrics for Snapchat and Meta campaigns snapchat_additional_metrics = { "Metric": ["Clicks", "eCPM (SAR)", "eCPC (SAR)"], "Value": [ snapchat_data["Clicks"].sum(), snapchat_data["eCPM"].mean(), snapchat_data["eCPC"].mean(), ] }meta_additional_metrics = { "Metric": ["Reach", "Impressions", "Cost Per Result (SAR)"], "Value": [ meta_summary["Total_Reach"], meta_data["Impressions"].sum(), meta_summary["Average_Cost_Per_Result"], ] }# Create DataFrames for easy plotting snapchat_df = pd.DataFrame(snapchat_additional_metrics) meta_df = pd.DataFrame(meta_additional_metrics)# Plot additional metrics for Snapchat plt.figure(figsize=(8, 6)) plt.bar(snapchat_df["Metric"], snapchat_df["Value"], color='skyblue') plt.title('Snapchat Campaign Additional Metrics', fontsize=16) plt.ylabel('Values', fontsize=14) plt.xticks(fontsize=12) plt.grid(axis='y', linestyle='--', alpha=0.7) plt.show()# Plot additional metrics for Meta plt.figure(figsize=(8, 6)) plt.bar(meta_df["Metric"], meta_df["Value"], color='green') plt.title('Meta Campaign Additional Metrics', fontsize=16) plt.ylabel('Values', fontsize=14) plt.xticks(fontsize=12) plt.grid(axis='y', linestyle='--', alpha=0.7) plt.show()