diff --git a/dumb-inverter.py b/dumb-inverter.py
index a26d200..5ccc47d 100644
--- a/dumb-inverter.py
+++ b/dumb-inverter.py
@@ -4,11 +4,13 @@ import panel
 from datetime import datetime
 from typing import Any
 
+import pandas as pd
+
 from pydantic import BaseModel
 
 from watt42_viewlib import attach_w42_state
 
-panel.extension('echarts', 'ace', 'jsoneditor')
+panel.extension('echarts', 'ace', 'jsoneditor', 'perspective')
 
 SYSTEM_ID = os.environ.get("WATT42_SYSTEM_ID", "invalid-system-id")
 API_TOKEN = os.environ.get("WATT42_API_TOKEN", "invalid-api-token")
@@ -28,6 +30,7 @@ class LoadForecast(BaseModel):
 
 class InverterForecast(BaseModel):
     levels: list[float] = []
+    grid_import_power: list[float] = []
     
 class SystemState(BaseModel):
     pv_forecast: PvForecast = PvForecast()
@@ -52,7 +55,7 @@ def chart1(state: SystemState) -> dict:
     option = {
         "title": {"text": f"PV and Load Forecast at {now.strftime('%Y-%m-%d %H:%M')}"},
         "tooltip": {"trigger": "axis"},
-        "legend": {"data": ["PV Forecast", "Load Forecast", "Inverter Level"]},
+        "legend": {"data": ["PV Forecast", "Load Forecast", "Inverter Level", "Grid import"]},
         "xAxis": {"type": "category", "data": hours, "name": "Hours"},
         "yAxis": {"type": "value", "name": "Power (kW)"},
         "series": [
@@ -70,6 +73,11 @@ def chart1(state: SystemState) -> dict:
                 "name": "Inverter Level",
                 "type": "line",
                 "data": state.inverter.levels,
+            },
+            {
+                "name": "Grid import",
+                "type": "line",
+                "data": state.inverter.grid_import_power,
             }
         ],
     }
@@ -77,6 +85,32 @@ def chart1(state: SystemState) -> dict:
 
 chart1_rx = panel.rx(chart1)(panel.rx(lambda s: SystemState.model_validate(s) if s else SystemState())(w42_state))
 
+def series_as_df(state: SystemState) -> pd.DataFrame:
+    """ Return a pandas DataFrame representation of the series data."""
+    data = {
+        "Time": [state.load_forecast.at + pd.Timedelta(minutes=15 * i) for i in range(len(state.load_forecast.slots))],
+        "PV Forecast": state.pv_forecast.slots,
+        "Load Forecast": state.load_forecast.slots,
+        "Inverter Level": state.inverter.levels,
+    }
+    df = pd.DataFrame(data)
+    return df
+
+series_df_rx = panel.rx(series_as_df)(panel.rx(lambda s: SystemState.model_validate(s) if s else SystemState())(w42_state))
+
+def summary_as_markdown(state: SystemState) -> str:
+    """ Return a markdown summary of the system state."""
+    md = f"""
+### Summary
+
+- Total PV Forecast: {sum(state.pv_forecast.slots) / 4000.0:.2f} kWh
+- Total Load Forecast: {sum(state.load_forecast.slots) / 4000.0:.2f} kWh
+- Total grid import: {sum(state.inverter.grid_import_power) / 4000.0:.2f} kWh
+"""
+
+    return md
+
+state_summary_rx = panel.rx(summary_as_markdown)(panel.rx(lambda s: SystemState.model_validate(s) if s else SystemState())(w42_state))
 
 sidebar_content = """
 Demonstrates how to visualize the Watt42 "dumb inverter simulation" system state.
@@ -86,11 +120,24 @@ here](https://source.c3.uber5.com/watt42-public/watt42_viewlib/src/branch/main/R
 
 """
 
+grid_config = json.loads('{"version":"3.8.0","plugin":"Datagrid","plugin_config":{"columns":{},"edit_mode":"READ_ONLY","scroll_lock":false},"columns_config":{},"settings":true,"theme":"Pro Light","title":null,"group_by":["level rounded"],"split_by":[],"sort":[["level rounded","desc"]],"filter":[],"expressions":{"level rounded":"round(\\"Inverter Level\\" / 100) * 100\\t","one":"1"},"columns":["index","one","Time","PV Forecast","Load Forecast","Inverter Level","level rounded"],"aggregates":{}}')
+
 _ = panel.template.FastListTemplate(
     title="Watt42: Dumb Inverter Visualization Example",
-    sidebar=[panel.pane.Markdown(sidebar_content, sizing_mode='stretch_width')],
+    sidebar=[panel.pane.Markdown(sidebar_content, sizing_mode='stretch_width'), panel.pane.Markdown(state_summary_rx, sizing_mode='stretch_width')],
     main=[
         panel.pane.ECharts(chart1_rx, sizing_mode='stretch_width', height=400, theme='light'),
+        panel.pane.Perspective(series_df_rx, sizing_mode='stretch_width',
+                               height=400, columns=grid_config['columns'],
+                               title="Group by rounded battery level (experimental)",
+                               expressions=grid_config['expressions'],
+                               aggregates=grid_config['aggregates'],
+                               group_by=grid_config['group_by'],
+                               sort=grid_config['sort'],
+                               filters=grid_config['filter'],
+                               ),
+        # warn that above pane may not work on all browsers
+        panel.pane.Markdown("**Note:** The above data grid uses the Perspective library which may not work on all browsers.", sizing_mode='stretch_width'),
         state_pane,
         w42_state,
     ],
diff --git a/sample2.py b/sample2.py
index d6dfbf0..da2fe46 100644
--- a/sample2.py
+++ b/sample2.py
@@ -188,7 +188,7 @@ def summary(state: SystemState) -> str:
     return f"## Summary\n\nGrid {'cost' if total_cost > 0 else 'income'} total: {abs(state.stats.grid_cost_total):.2f} ZAR"
 
 _ = panel.template.FastListTemplate(
-    title="Sample W42 App",
+    title="Watt42: PV, batteries, dynamic tariffs",
     sidebar=[panel.pane.Markdown("This is a sample sidebar.")],
     main=[
         # panel.pane.Markdown(state_as_text, sizing_mode='stretch_width'),