add jumps per day

app.py

@@ -146,8 +146,16 @@ def full_report():
                               y='total_jumps', 
                               color='continent', 
                               template="plotly_dark")
+    
+    daily_df = df.groupby(['day']).sum().reset_index()
+    per_day_plot = px.scatter(daily_df, x='day', y='jumps', 
+                              trendline='rolling',
+                              trendline_options=dict(window=7),
+                              trendline_color_override="goldenrod",
+                              trendline_scope='overall',
+                              template="plotly_dark")
 
-    return f"## Total Jumps: {total_jumps:,}", total, avg, total_map, jumps_over_time, county_map
+    return f"## Total Jumps: {total_jumps:,}", total, avg, total_map, jumps_over_time, county_map, per_day_plot
 
 
 with gr.Blocks(theme='WeixuanYuan/Soft_dark') as demo:
@@ -157,6 +165,8 @@ with gr.Blocks(theme='WeixuanYuan/Soft_dark') as demo:
         map_fig = gr.Plot(label="Map")
     with gr.Row():
         county_map = gr.Plot(label="US Map")
+    with gr.Row():
+        per_day_plot = gr.Plot(label="Jumps per Day")
     with gr.Row():
         jumps_over_time = gr.Plot(label="Jumps Over Time")
     with gr.Row():
@@ -164,7 +174,7 @@ with gr.Blocks(theme='WeixuanYuan/Soft_dark') as demo:
     with gr.Row():
         avg_plot = gr.Plot(label="Average Jumps per Day")
 
-    outputs = [total_jumps_label, total_plot, avg_plot, map_fig, jumps_over_time, county_map]
+    outputs = [total_jumps_label, total_plot, avg_plot, map_fig, jumps_over_time, county_map, per_day_plot]
     dep = demo.load(full_report, None, outputs)
 
 if __name__ == "__main__":