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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+bfro_reports_fall2022.csv filter=lfs diff=lfs merge=lfs -text

app.py

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+import streamlit as st
+import pandas as pd
+import altair as alt
+
+# Load dataset
+df = pd.read_csv('bfro_reports_fall2022.csv')
+
+# Preprocess for first chart
+df['year'] = pd.to_datetime(df['date'], errors='coerce').dt.year
+df_year = df.groupby('year').size().reset_index(name='count').dropna()
+
+# Preprocess for second chart
+df_state = df['state'].value_counts().reset_index()
+df_state.columns = ['state', 'count']
+
+# Title and Introduction
+st.title('Bigfoot Sightings Analysis')
+st.markdown("""
+This dataset from the BFRO contains reported Bigfoot sightings across the US.  
+Below are two visualizations to explore patterns in the data.
+""")
+
+# Chart 1
+st.subheader('Sightings Per Year')
+chart1 = alt.Chart(df_year).mark_line(point=True).encode(
+    x=alt.X('year:O', title='Year'),
+    y=alt.Y('count:Q', title='Number of Sightings'),
+    tooltip=['year', 'count']
+).properties(
+    width=600,
+    height=400
+)
+st.altair_chart(chart1, use_container_width=True)
+
+st.text("""
+This line chart shows the number of sightings reported each year.
+The point markers emphasize yearly changes. The trend could be smoothed with more time.
+""")
+
+# Chart 2
+st.subheader('Top 15 States by Sightings')
+chart2 = alt.Chart(df_state.head(15)).mark_bar().encode(
+    x=alt.X('count:Q', title='Number of Sightings'),
+    y=alt.Y('state:N', sort='-x', title='State'),
+    tooltip=['state', 'count']
+).properties(
+    width=600,
+    height=400
+)
+st.altair_chart(chart2, use_container_width=True)
+
+st.text("""
+This bar chart highlights the top states with the most Bigfoot sightings.
+A geographic map could provide more visual insight if time permits.
+""")

bfro_reports_fall2022.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:302c6b7cc392dfe52c9c4890bf96f2b3ccdf1911fef803a3e86d1a3540071c88
+size 10716765

requirements.txt

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+streamlit
+pandas
+altair