Update app.py

app.py

@@ -120,10 +120,8 @@ def analyze_data(csv_file, additional_notes=""):
         You are a helpful data analysis agent. Just return insight information and visualization.
         Load the data that is passed.do not create your own.
         Automatically detect numeric columns and names.
-        Compute basic statistics (count, mean, std, min, 25%, 50%, 75%, max) for each numeric column.
-        1. Basic statistics and data quality checks
-        2. Visualization of key patterns and correlations
-        3. Actionable real-world insights derived from findings.
+        2. 5 data visualizations
+        3. at least 5 insights from data
         5. Generate publication-quality visualizations and save to './figures/'.
         Do not use 'open()' or write to files. Just return variables and plots.
         The dictionary should have the following structure: