Create app.py

app.py

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+import streamlit as st
+import graphviz as gv
+from graphviz import Graph
+import folium
+from streamlit_folium import folium_static
+import pandas as pd
+import matplotlib.pyplot as plt
+import altair as alt
+
+# Define the top 10 mental health facilities by bed size in the US
+hospitals = [('McLean Hospital', 'Belmont, MA', 182),
+             ('Menninger Clinic', 'Houston, TX', 164),
+             ('Johns Hopkins Hospital', 'Baltimore, MD', 119),
+             ('Sheppard Pratt Hospital', 'Towson, MD', 118),
+             ('New York-Presbyterian Hospital', 'New York, NY', 117),
+             ('Austen Riggs Center', 'Stockbridge, MA', 70),
+             ('Butler Hospital', 'Providence, RI', 68),
+             ('Rogers Memorial Hospital', 'Oconomowoc, WI', 67),
+             ('Silver Hill Hospital', 'New Canaan, CT', 54),
+             ('Spectrum Health Hospitals Butterworth Hospital', 'Grand Rapids, MI', 53)]
+
+# Create a Graphviz chart of the hospitals
+g = Graph(format='svg')
+g.graph_attr['bgcolor'] = '#FFFFFF'
+g.graph_attr['outputorder'] = 'edgesfirst'
+g.graph_attr['size'] = '10,10'
+g.node_attr['style'] = 'filled'
+g.node_attr['shape'] = 'box'
+g.node_attr['fillcolor'] = '#FFDAB9'
+
+with g.subgraph(name='cluster_US') as c:
+    c.graph_attr['bgcolor'] = '#ADD8E6'
+    c.node_attr['color'] = '#000000'
+    c.node_attr['fontcolor'] = '#000000'
+    c.attr(label='Top 10 Mental Health Facilities by Bed Size in the US', fontsize='24')
+    for hospital in hospitals:
+        c.node(f"{hospital[0]}\n{hospital[1]}\n{hospital[2]} beds")
+
+# Render the Graphviz chart in Streamlit
+st.graphviz_chart(g)
+
+# Create a Folium map of the hospitals
+m = folium.Map(location=[39.5, -98.35], zoom_start=4)
+
+for hospital in hospitals:
+    folium.Marker(
+        location=[hospital[1].split(', ')[0], hospital[1].split(', ')[1]],
+        popup=f"{hospital[0]}\n{hospital[1]}\n{hospital[2]} beds",
+        icon=folium.Icon(color='red', icon='info-sign')
+    ).add_to(m)
+
+# Display the Folium map in Streamlit
+folium_static(m)
+
+# Create a dataframe of the hospital data
+df = pd.DataFrame(hospitals, columns=['Hospital', 'Location', 'Bed Size'])
+
+# Create a Matplotlib chart of the hospital bed sizes
+fig, ax = plt.subplots()
+ax.bar(df['Hospital'], df['Bed Size'])
+ax.set_xticklabels(df['Hospital'], rotation=45)
+ax.set_xlabel('Hospital')
+ax.set_ylabel('Bed Size')
+ax.set_title('Top 10 Mental Health Facilities by Bed Size in the US')
+st.pyplot(fig)
+
+# Create an Altair chart of the hospital bed sizes
+alt_chart = alt.Chart(df).mark_bar().encode(
+    x='Hospital',
+    y='Bed Size'
+).properties(
+    title='Top 10 Mental Health Facilities by Bed Size in the US'
+)
+
+# Display the Altair chart in Streamlit
+st.altair_chart(alt_chart)
+
+# Top 20 Mental Health Facilities by Bed Size in the US
+top_hospitals = [
+    (1, 'McLean Hospital', 'Belmont, MA', 182, 'Known for its treatment of borderline personality disorder.'),
+    (2, 'Menninger Clinic', 'Houston, TX', 164, 'Uses an integrative approach that combines therapy, medication, and other treatments.'),
+    (3, 'Johns Hopkins Hospital', 'Baltimore, MD', 119, 'Specializes in the treatment of mood disorders and addiction.'),
+    (4, 'Sheppard Pratt Hospital', 'Towson, MD', 118, 'Offers a range of specialty programs, including ones for eating disorders and addiction.'),
+    (5, 'New York-Presbyterian Hospital', 'New York, NY', 117, 'One of the largest mental health facilities in the country, with a wide range of treatment options.'),
+    (6, 'Austen Riggs Center', 'Stockbridge, MA', 70, 'Known for its focus on long-term treatment and the importance of relationships.'),
+    (7, 'Butler Hospital', 'Providence, RI', 68, 'Offers a range of specialized programs, including ones for bipolar disorder and addiction.'),
+    (8, 'Rogers Memorial Hospital', 'Oconomowoc, WI', 67, 'Offers a range of specialty programs, including ones for OCD and eating disorders.'),
+    (9, 'Silver Hill Hospital', 'New Canaan, CT', 54, 'Known for its focus on treating co-occurring mental health and addiction issues.'),
+    (10, 'Spectrum Health Hospitals Butterworth Hospital', 'Grand Rapids, MI', 53, 'Offers a range of specialized programs, including ones for PTSD and addiction.'),
+    (11, 'University of Michigan Hospitals-Michigan Medicine', 'Ann Arbor, MI', 49, 'Offers a range of specialized programs, including ones for depression and anxiety.'),
+    (12, 'Vanderbilt University Medical Center', 'Nashville, TN', 48, 'Offers a range of specialized programs, including ones for schizophrenia and bipolar disorder.'),
+    (13, 'Mayo Clinic', 'Rochester, MN', 47, 'Known for its focus on integrated care and a patient-centered approach.'),
+    (14, 'UPMC Western Psychiatric Hospital', 'Pittsburgh, PA', 46, 'Offers a range of specialized programs, including ones for autism and bipolar disorder.'),
+    (15, 'Cleveland Clinic', 'Cleveland, OH', 45, 'Offers a range of specialized programs, including ones for geriatric mental health and addiction.'),
+    (16, 'McLean SouthEast', 'Middleborough, MA', 44, 'Offers a range of specialized programs, including ones for trauma and addiction.'),
+    (17, 'Laurel Ridge Treatment Center', 'San Antonio, TX', 44, 'Offers a range of specialized programs, including ones for PTSD and addiction.'),
+    (18, 'Mercy Hospital', 'Chicago, IL', 42, 'Offers a range of specialized programs, including ones for geriatric mental health and addiction.'),
+    (19, 'University of Iowa Hospitals and Clinics', 'Iowa City, IA', 42, 'Offers a range of specialized programs, including ones for eating disorders and addiction.'),
+    (20, 'Rogers Behavioral Health', 'Oconomowoc, WI', 41, 'Offers a range of specialized programs, including ones for OCD and addiction.')
+]
+
+table = "| Rank | Hospital | Location | Bed Size | Unique Care |\n"
+table += "| --- | --- | --- | --- | --- |\n"
+for hospital in top_hospitals:
+    table += f"| {hospital[0]} | {hospital[1]} | {hospital[2]} | {hospital[3]} beds | {hospital[4]} |\n"
+st.markdown("## Top 20 Mental Health Facilities by Bed Size in the US")
+st.markdown(table)
+
+