Update app.py

app.py

@@ -100,8 +100,8 @@ tab1, tab2 = st.tabs(["Raw Data", "Efficiency Modeling"])
 with tab1:
   with st.expander("See person data"):
       st.dataframe(normalized_data[['name','role','manager','modules completed','completion rate','efficiency score','module']])
-  fig1 = px.bar(data, x='name', y='modules completed', color='manager')
-  fig2 = px.scatter(data, x='modules completed', y='completion rate',  color='manager',custom_data=['name', 'role', 'manager'])
+  fig1 = px.bar(data, x='name', y='modules completed', color='manager',title="Modules Completed")
+  fig2 = px.scatter(data, x='modules completed', y='completion rate',  color='manager',custom_data=['name', 'role', 'manager'],title="Modules Completed vs Completion Rate")
   fig2.update_traces(
       hovertemplate="<br>".join([
           "modules: %{x}",
@@ -119,12 +119,12 @@ with tab2:
   with st.expander("See person data"):
       st.dataframe(normalized_data[['name','role','manager','modules completed','completion rate','efficiency score','module']])
   
-  fig3 = px.box(normalized_data, x="manager", y="efficiency score")
+  fig3 = px.box(normalized_data, x="manager", y="efficiency score",title="Manager Efficiency Distribution")
   st.plotly_chart(fig3, use_container_width=True)
-  fig4 = px.bar(manager_data, x="manager", y="efficiency score")
+  fig4 = px.bar(manager_data, x="manager", y="efficiency score",title="Manager Efficiency Distribution")
   # fig4.update_layout(xaxis={'categoryorder':'total descending'})
   st.plotly_chart(fig4, use_container_width=True)
-  fig5 = px.bar(manager_data, x="name", y="efficiency score",color="manager",title="Efficiency Score by Person")
+  fig5 = px.bar(normalized_data, x="name", y="efficiency score",color="manager",title="Efficiency Score by Person")
   # fig4.update_layout(xaxis={'categoryorder':'total descending'})
   st.plotly_chart(fig5, use_container_width=True)