Update app.py

app.py

@@ -80,22 +80,34 @@ With more development time, analyzing seasonal or monthly trends within each yea
 
 # Write-up explaining the thought process for both visualisations 
 st.write("""
-**Licenses by Status:**
+**Write-up explaining the thought process for both visualisations:**
+
+** 1. Licenses by Status:**
 
 Purpose: This bar chart compares the frequency of different license statuses, giving insight into how licenses are categorized. For example, it might show the relative proportion of active versus inactive licenses.
+
 Design Choices:
-Sorting: Sorting bars in descending order brings the most common categories to the top, allowing for quick comparison.
-Color: Colors are used for clear category distinction, making the chart visually engaging.
-Y-Axis Scale: A fixed maximum of 100 on the Y-axis balances the focus on both high and low-count categories, helping smaller counts stand out.
+
+Sorting bars in descending order brings the most common categories to the top, allowing for quick comparison.
+
+Colors are used for clear category distinction, making the chart visually engaging.
+
+A fixed maximum of 100 on the Y-axis balances the focus on both high and low-count categories, helping smaller counts stand out.
+
 Future Enhancements: Interactivity, such as the ability to filter by additional fields like specialty or location, could enhance insights further.
 
 
-**Licenses Over Time:**
+** 2. Licenses Over Time:**
 
 Purpose: This line chart provides a time-based view, revealing trends in license issuance across years. It is especially useful for identifying growth or decline patterns in licensing.
+
 Design Choices:
-Line Chart: The line chart captures year-over-year changes smoothly, helping viewers spot peaks and troughs.
-Color Consistency: Using a single color (blue) maintains simplicity and avoids distractions from the primary focus on the trend.
-Y-Axis Scale: Setting the Y-axis to 100 highlights variations even when counts are low, helping identify periods of slow growth or decline.
+
+The line chart captures year-over-year changes smoothly, helping viewers spot peaks and troughs.
+
+Using a single color (blue) maintains simplicity and avoids distractions from the primary focus on the trend.
+
+Setting the Y-axis to 100 highlights variations even when counts are low, helping identify periods of slow growth or decline.
+
 Future Enhancements: Examining more granular patterns, such as seasonal trends, could add another dimension, revealing factors that might influence licensing activity annually.
 """)