feat: update readme and demo data

app/tool/chart_visualization/python_execute.py

@@ -7,15 +7,7 @@ class NormalPythonExecute(PythonExecute):
 
     name: str = "python_execute"
     description: str = (
-        """Execute Python code for in-depth data analysis / data report(task conclusion) / other normal task without direct visualization.
-# Note
-1. The code should generate a comprehensive text-based report containing dataset overview, column details, basic statistics, derived metrics, timeseries comparisons, outliers, and key insights.
-2. Use print() for all outputs so the analysis (including sections like 'Dataset Overview' or 'Preprocessing Results') is clearly visible and save it also
-3. Save any report / processed files / each analysis result in worksapce directory: {directory}
-4. Data reports need to be content-rich, including your overall analysis process and corresponding data visualization.
-4. You can invode this tool step-by-step to do data analysis from summary to in-depth""".format(
-            directory=config.workspace_root
-        )
+        """Execute Python code for in-depth data analysis / data report(task conclusion) / other normal task without direct visualization."""
     )
     parameters: dict = {
         "type": "object",
@@ -28,6 +20,15 @@ class NormalPythonExecute(PythonExecute):
             },
             "code": {
                 "type": "string",
+                "description": """Python code to execute.
+# Note
+1. The code should generate a comprehensive text-based report containing dataset overview, column details, basic statistics, derived metrics, timeseries comparisons, outliers, and key insights.
+2. Use print() for all outputs so the analysis (including sections like 'Dataset Overview' or 'Preprocessing Results') is clearly visible and save it also
+3. Save any report / processed files / each analysis result in worksapce directory: {directory}
+4. Data reports need to be content-rich, including your overall analysis process and corresponding data visualization.
+5. You can invode this tool step-by-step to do data analysis from summary to in-depth with data report saved also""".format(
+                    directory=config.workspace_root
+                ),
             },
         },
         "required": ["code"],