Better description of the graph

app.py

@@ -9,7 +9,7 @@ from tabs.tokens_dist import (
 )
 from tabs.dist_gap import (
     get_distribution_plot,
-    get_avg_gap_time_evolution,
+    get_avg_gap_time_evolution_grouped_markets,
     get_correlation_map,
     get_kde_with_trades,
     get_kde_with_total_bet_amount,
@@ -96,11 +96,11 @@ with demo:
                 )
             with gr.Row():
                 gr.Markdown(
-                    "Time evolution of the average distribution gap percentage of all markets"
+                    "Time evolution of the average distribution gap percentage of markets created the same day"
                 )
 
             with gr.Row():
-                mean_plot = get_avg_gap_time_evolution(markets_data)
+                mean_plot = get_avg_gap_time_evolution_grouped_markets(markets_data)
 
         with gr.TabItem("📏 Distribution gap metric for all markets"):
             # remove samples with no trades

tabs/dist_gap.py

@@ -48,7 +48,7 @@ def get_dist_gap_timeline_plotly(market_id: str, all_markets: pd.DataFrame) -> g
     return gr.Plot(value=fig)
 
 
-def get_avg_gap_time_evolution(all_markets: pd.DataFrame) -> gr.Plot:
+def get_avg_gap_time_evolution_grouped_markets(all_markets: pd.DataFrame) -> gr.Plot:
     # filter by the opening datetime
     current = pd.Timestamp("today")