Create app.py

app.py

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+import streamlit as st
+import numpy as np
+import pandas as pd
+import plotly.express as px
+
+st.title('Random Dice Games for STEM Math and Data Science')
+
+# Get user input for the number of dice rolls
+num_rolls = st.slider('How many times do you want to roll the dice?', 1, 1000000, 1000)
+
+# Generate dice rolls
+rolls = np.random.randint(1, 7, num_rolls)
+
+# Count the number of occurrences of each roll
+roll_counts = pd.Series(rolls).value_counts().sort_index()
+
+# Create a sunburst chart of the roll counts
+fig = px.sunburst(
+    names=[f'Roll {i}' for i in roll_counts.index],
+    parents=['Dice Rolls'] * 6,
+    values=roll_counts.values,
+    color=[f'Roll {i}' for i in roll_counts.index],
+    color_discrete_sequence=px.colors.qualitative.Dark24,
+    maxdepth=2
+)
+
+# Customize the chart layout
+fig.update_layout(
+    title='Dice Roll Distribution',
+    margin=dict(l=20, r=20, t=40, b=20),
+    width=800,
+    height=600
+)
+
+# Add UI controls to modify the chart
+show_labels = st.checkbox('Show Labels', value=True)
+if not show_labels:
+    fig.update_traces(textinfo='none')
+fig.show()
+
+# Allow user to download roll data as CSV file
+if st.button('Download Roll Data as CSV'):
+    roll_data = pd.DataFrame({
+        'Roll': rolls,
+        'Count': np.ones(num_rolls)
+    })
+    st.download_button(
+        label='Download CSV',
+        data=roll_data.to_csv(index=False),
+        file_name='roll_data.csv',
+        mime='text/csv'
+    )