Update app.py

app.py

@@ -589,6 +589,7 @@ elif viz_type == "Complaints by Housing Block and Type (Incorporating Suggestion
     st.write("""
     **What this visualization shows:**  
     This bar chart displays the distribution of complaints by Housing Block and Complaint Type. The data is stacked to show the percentage distribution of complaints per block, categorized by type. This allows for a quick comparison of the most common complaint types across different housing blocks. While the percentages may be challenging to read when data for all blocks is displayed, they become more valuable and easier to interpret when a single block is selected. Selecting a specific block allows for clearer insights into the proportion of each complaint type within that block, providing more actionable information.
+    Given that the data from block 3400 onwards is very sparse, we decided to exclude these records. This adjustment helped focus the visualization on the more relevant data, providing clearer insights and improving its overall effectiveness for analysis.
     
     **Why it's interesting:**  
     By analyzing the distribution of complaints by both block and type, organizations can identify specific areas where certain complaint types are more prevalent. This insight helps target interventions and allocate resources more efficiently based on the most common issues in different housing blocks.