msa17 commited on
Commit
313238f
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1 Parent(s): d1af9ee

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -47,7 +47,7 @@ This bar chart illustrates the number of buildings in each county, highlighting
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  - Counties are sorted in descending order based on building count to emphasize those with the most buildings.
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  - The teal color provides a calm and professional appearance.
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  - **Potential Improvements**:
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- - Incorporate filters to allow users to focus on specific regions or agencies.
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  - Add a map visualization to provide spatial context to the data.
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  """)
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@@ -80,7 +80,7 @@ This line chart displays the number of buildings constructed each year, revealin
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  - Data points are marked to emphasize individual years.
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  - The orange color draws attention to the trend line.
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  - **Potential Improvements**:
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- - Implement a rolling average to smooth out year-to-year fluctuations.
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  - Allow users to filter the data by building type or agency to explore specific trends.
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  """)
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  - Counties are sorted in descending order based on building count to emphasize those with the most buildings.
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  - The teal color provides a calm and professional appearance.
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  - **Potential Improvements**:
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+ - Create grouped bar charts to compare building counts by county across different years.
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  - Add a map visualization to provide spatial context to the data.
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  """)
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  - Data points are marked to emphasize individual years.
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  - The orange color draws attention to the trend line.
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  - **Potential Improvements**:
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+ - Overlay a trendline to highlight long-term construction patterns while reducing the effect of year-to-year fluctuations.
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  - Allow users to filter the data by building type or agency to explore specific trends.
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  """)
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