Update app.py

Center chart title

app.py

@@ -26,12 +26,12 @@ fig = px.choropleth(df,  # Input Pandas DataFrame
                     locationmode = 'USA-states') # Set to plot as US States
 fig.update_layout(
     title_text = '2019 Energy Consumption in kWh', # Create a Title
-    geo_scope='usa'  # Plot only the USA instead of globe
-)
+    geo_scope='usa',  # Plot only the USA instead of globe
+    title_x=0.5)
 
 # Create header to display information about the data
 st.title("2019 US Energy Consumption By State")
-st.subheader("The table displays some data pulled from the EIA.gov website for 2019 US energy consumption by state in BTU, which was then converted to kWh. The heatmap is interactive and you can hover over each state to view it's 2019 energy consumption in kWh.")
+st.subheader("The table displays data scraped from the EIA.gov website for 2019 US energy consumption by state in BTU, which was then converted to kWh. The heatmap is interactive and you can hover over each state to view it's 2019 energy consumption in kWh.")
 
 # Display the dataframe, and the heatmap visualization of the dataframe data
 df