cassiebuhler commited on
Commit
4310e6b
·
1 Parent(s): ed4efdf

adding more instructions

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Files changed (1) hide show
  1. app.py +9 -3
app.py CHANGED
@@ -21,10 +21,11 @@ st.set_page_config(layout="wide",
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  An experimental platform for visualizing data on ballot measures for conservation, based on data from <https://landvote.org/> curated by the Trust for Public Land.
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  '''
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- st.caption("We visualize each voting jurisdiction with green if a conservation measure passed and orange if it failed. The intensity of green or orange reflects the level of support or opposition, with darker green representing stronger support for passed measures and darker orange representing lower support for failed measures. The height of county and city jurisdictions represents the amount of funding proposed by the measure.")
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@@ -371,6 +372,13 @@ st.altair_chart(create_chart(df_funding, "cumulative_funding", "Billions of Doll
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  st.divider()
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  footer = st.container()
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  '''
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  # Credits
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  Authors: Cassie Buhler & Carl Boettiger, UC Berkeley License: BSD-2-clause
@@ -390,5 +398,3 @@ Authors: Cassie Buhler & Carl Boettiger, UC Berkeley License: BSD-2-clause
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  '''
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-
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- st.caption("***Political affiliation is determined by the party that received the majority vote in the most recent presidential election for each jurisdiction. For counties and states, this reflects the majority vote in that area. For cities, affiliation is based on the party of the county in which the city is located.")
 
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  An experimental platform for visualizing data on ballot measures for conservation, based on data from <https://landvote.org/> curated by the Trust for Public Land.
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  '''
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+ st.caption("We visualize each voting jurisdiction with green if a conservation measure passed and orange if it failed. The intensity of green or orange reflects the level of support or opposition, with darker green representing stronger support for passed measures and darker orange representing lower support for failed measures. ")
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+ "ℹ️ Tip: Use the slider to change the year and hover over shaded areas for measure details."
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  st.divider()
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  footer = st.container()
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+
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+ st.caption("***The height of county and city jurisdictions represents the amount of funding proposed by the measure.")
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+
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+
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+ st.caption("***Political affiliation is determined by the party that received the majority vote in the most recent presidential election for each jurisdiction. For counties and states, this reflects the majority vote in that area. For cities, affiliation is based on the party of the county in which the city is located.")
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+
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  '''
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  # Credits
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  Authors: Cassie Buhler & Carl Boettiger, UC Berkeley License: BSD-2-clause
 
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  '''