Update app.py

app.py

@@ -107,6 +107,12 @@ correlation_plot = (
 )
 st.altair_chart(correlation_plot, use_container_width=True)
 
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+st.write('The correlation plot allows experts to explore relationships between different numeric variables in the dataset. For instance, examining the correlation between Contract Amount and Procurement Method Frequency can reveal patterns in procurement practices. A strong correlation might indicate certain procurement methods are associated with higher or lower contract values, providing insights into efficiency and strategy. Users can select specific attributes to analyze and dynamically visualize how they interact across regions and industries.')
+st.write('Contextual Dataset')
+st.write('World Bank Development Indicators by Industry
+Link: https://databank.worldbank.org/source/world-development-indicators
+Why Useful: This dataset includes industry-specific GDP contributions and growth metrics for different countries. Integrating it with contract award data can help analyze whether investments align with industry needs or economic potential, enabling an evaluation of their effectiveness.
+Additional Insight')
+st.write('he correlation analysis combined with the contextual dataset could provide narratives such as:
+How contract investments influence specific industries.')
+st.write('Patterns in procurement methods tied to economic growth in particular regions or industries.')