diff --git a/data/sales_visualizer_with_region.py b/data/sales_visualizer_with_region.py
new file mode 100644
index 0000000000..8e7ced665d
--- /dev/null
+++ b/data/sales_visualizer_with_region.py
@@ -0,0 +1,72 @@
+import dash
+from dash import dcc, html
+from dash.dependencies import Input, Output
+import pandas as pd
+
+# Assuming you have the sales data stored in a pandas DataFrame called sales_data
+# with columns 'Date', 'Region', and 'Sales'
+
+# Replace this with your actual data
+sales_data = pd.DataFrame({
+    'Date': pd.date_range(start='2021-01-01', end='2021-01-31'),
+    'Region': ['North', 'East', 'South', 'West'] * 8,
+    'Sales': [100, 110, 120, 115, 130, 125, 135, 140, 145, 150, 155, 160, 165, 170, 
+              180, 175, 185, 190, 195, 200, 205, 210, 215, 220, 225, 230, 235, 240, 
+              245, 250]
+})
+
+# Initialize the Dash app
+app = dash.Dash(__name__)
+
+# Define the layout
+app.layout = html.Div([
+    html.H1("Soul Foods Sales Visualizer", style={'textAlign': 'center', 'color': '#0074D9'}),
+    html.Div("Filter by Region:", style={'textAlign': 'center', 'color': '#7FDBFF'}),
+    dcc.RadioItems(
+        id='region-filter',
+        options=[
+            {'label': 'North', 'value': 'North'},
+            {'label': 'East', 'value': 'East'},
+            {'label': 'South', 'value': 'South'},
+            {'label': 'West', 'value': 'West'},
+            {'label': 'All', 'value': 'All'}
+        ],
+        value='All',
+        labelStyle={'display': 'block', 'margin': '10px'},
+        style={'textAlign': 'center', 'color': '#7FDBFF'}
+    ),
+    dcc.Graph(id='sales-chart'),
+])
+
+# Define callback to update the chart based on region selection
+@app.callback(
+    Output('sales-chart', 'figure'),
+    [Input('region-filter', 'value')]
+)
+def update_chart(selected_region):
+    if selected_region == 'All':
+        filtered_sales_data = sales_data
+    else:
+        filtered_sales_data = sales_data[sales_data['Region'] == selected_region]
+    
+    traces = []
+    for region, region_sales_data in filtered_sales_data.groupby('Region'):
+        traces.append({
+            'x': region_sales_data['Date'],
+            'y': region_sales_data['Sales'],
+            'type': 'scatter',
+            'name': region
+        })
+    
+    return {
+        'data': traces,
+        'layout': {
+            'title': 'Sales Data by Region',
+            'xaxis': {'title': 'Date'},
+            'yaxis': {'title': 'Sales'}
+        }
+    }
+
+# Run the app
+if __name__ == '__main__':
+    app.run_server(debug=True)