Add:Files and app.py changes

.gitignore

@@ -0,0 +1 @@
+.venv

app.py

@@ -1,73 +1,66 @@
-# INSTRUCTIONS:
-# 1. Open a "Terminal" by: View --> Terminal OR just the "Terminal" through the hamburger menu
-# 2. run in terminal with: streamlit run app.py
-# 3. click the "Open in Browser" link that pops up OR click on "Ports" and copy the URL
-# 4. Open a Simple Browswer with View --> Command Palette --> Simple Browser: Show
-# 5. use the URL from prior steps as intput into this simple browser
-
-
+import pandas as pd
 import streamlit as st
 import altair as alt
-from vega_datasets import data
- 
+
+# Main title for the app
 st.title("Streamlit App for IS445: ID29937")
 
+# Text description with URL
 st.text("The URL for this app is: https://huggingface.co/spaces/Shrek29/is445_demo")
 
-source = data.seattle_weather()
+# Divider to separate sections
+st.divider()
 
-scale = alt.Scale(
-    domain=["sun", "fog", "drizzle", "rain", "snow"],
-    range=["#e7ba52", "#a7a7a7", "#aec7e8", "#1f77b4", "#9467bd"],
-)
-color = alt.Color("weather:N", scale=scale)
+# Header for the scatter plot section
+st.header("Scatter Plot of Weather Data from the BFRO Dataset")
 
-# We create two selections:
-# - a brush that is active on the top panel
-# - a multi-click that is active on the bottom panel
-brush = alt.selection_interval(encodings=["x"])
-click = alt.selection_point(encodings=["color"])
+source = "https://raw.githubusercontent.com/UIUC-iSchool-DataViz/is445_data/main/bfro_reports_fall2022.csv"
+data = pd.read_csv(source).dropna()
 
-# Top panel is scatter plot of temperature vs time
-points = (
-    alt.Chart()
-    .mark_point()
-    .encode(
-        alt.X("monthdate(date):T", title="Date (Month Year)"),
-        alt.Y(
-            "temp_max:Q",
-            title="Maximum Daily Temperature (C)",
-            scale=alt.Scale(domain=[-5, 40]),
-        ),
-        color=alt.condition(brush, color, alt.value("lightgray")),
-        size=alt.Size("precipitation:Q", scale=alt.Scale(range=[5, 200])),
-    )
-    .properties(width=550, height=300)
-    .add_params(brush)
-    .transform_filter(click)
+# Scatter plot using Altair
+scatter = (
+    alt.Chart(data).mark_circle().encode(
+        alt.X('visibility:Q').title('Visibility'),
+        alt.Y('wind_speed:Q').title('Wind Speed'),
+        alt.Color('season:N').scale(scheme="set2"),  # Using 'set2' color scheme
+        alt.Size('temperature_high:Q'),
+        alt.Tooltip(['visibility', 'wind_speed', 'season', 'pressure'])
+    ).interactive()
 )
 
-# Bottom panel is a bar chart of weather type
-bars = (
-    alt.Chart()
-    .mark_bar()
-    .encode(
-        x="count()",
-        y="weather:N",
-        color=alt.condition(click, color, alt.value("lightgray")),
-    )
-    .transform_filter(brush)
-    .properties(
-        width=550,
-    )
-    .add_params(click)
+st.altair_chart(scatter, use_container_width=True)
+
+# Divider to separate sections
+st.divider()
+
+# Header for mixed chart section
+st.header("Mixed Chart of Weather Data from the BFRO Dataset")
+
+pts = alt.selection_point(encodings=['x'])
+rect = alt.Chart(data).mark_rect().encode(
+    alt.X('uv_index:Q').bin().title('UV Index'),
+    alt.Y('cloud_cover:Q').bin().title('Cloud Cover'),
+    alt.Color('count()').scale(scheme='greens').title('Count of UV Index'),
 )
 
-chart = alt.vconcat(points, bars, data=source, title="Seattle Weather - 2012 to 2013")
+circ = rect.mark_point().encode(
+    alt.ColorValue('darkred'),  # Change point color to dark red
+    alt.Size('count()').title('Count of Cloud Cover')
+).transform_filter(pts)
 
-tab1, tab2 = st.tabs(["Streamlit theme (default)", "Altair native theme"])
+bar = alt.Chart(data, width=550, height=200).mark_bar().encode(
+    x='season:N',
+    y='count()',
+    color=alt.condition(pts, alt.ColorValue("orange"), alt.ColorValue("grey"))
+).add_params(pts)
+    
+special = alt.vconcat(
+    rect + circ,
+    bar
+).resolve_legend(
+    color="independent",
+    size="independent"
+)
 
-with tab1:
-    st.altair_chart(chart, theme="streamlit", use_container_width=True)
-with tab2:
-    st.altair_chart(chart, theme=None, use_container_width=True)
+# Display mixed chart
+st.altair_chart(special)