add area back (but good this time)

app.py

@@ -100,6 +100,7 @@ def full_report():
     total_jumps = int(df['jumps'].sum())
     print(f"Total jumps: {total_jumps}")
     df['iso'] = df['iso'].map(alpha_2_map)
+    df['jumps'] = df['jumps'].astype(int)
     
     country_df = df.groupby(['country', 'iso']).sum().reset_index()
     country_df = country_df.sort_values(by=['jumps'], ascending=False)
@@ -146,7 +147,15 @@ def full_report():
     df = df.groupby(['day', 'continent']).sum().reset_index()
     df = df.sort_values(by=['day'])
     df['total_jumps'] = df.groupby('continent')['jumps'].cumsum()
-    jumps_over_time = px.line(df, x='day', 
+    print(df)
+    # fill in any missing days with current max value
+    for day in range(1, df['day'].max() + 1):
+        for continent in df['continent'].unique():
+            if not df[(df['day'] == day) & (df['continent'] == continent)].any().any():
+                max_jumps = df[(df['day'] < day) & (df['continent'] == continent)]['total_jumps'].max()
+                df = df.append({'day': day, 'continent': continent, 'total_jumps': max_jumps}, ignore_index=True)
+    df = df.sort_values(by=['day']).reset_index(drop=True)
+    jumps_over_time = px.area(df, x='day', 
                               y='total_jumps', 
                               color='continent', 
                               template="plotly_dark")
@@ -154,7 +163,7 @@ def full_report():
     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_options=dict(window=14),
                               trendline_color_override="goldenrod",
                               trendline_scope='overall',
                               template="plotly_dark")