Create app.py

app.py

@@ -1,71 +1,33 @@
 import streamlit as st
-import altair as alt
 import pandas as pd
-
-# Title
-st.title("Building Inventory Interactive Visualization")
-
-# Load Dataset
-@st.cache
-def load_data():
-    url = "https://raw.githubusercontent.com/UIUC-iSchool-DataViz/is445_data/main/building_inventory.csv"
-    return pd.read_csv(url)
-
-data = load_data()
-
-# Data Preview
-if st.sidebar.checkbox("Show Raw Data"):
-    st.subheader("Raw Dataset")
-    st.dataframe(data)
-
-# Add color scale for 'Bldg Status'
-building_status_scale = alt.Scale(
-    domain=["Active", "Inactive", "Unknown"],
-    range=["#1f77b4", "#ff7f0e", "#d62728"]
-)
-color = alt.Color("Bldg Status:N", scale=building_status_scale)
-
-# Selections
-brush = alt.selection_interval(encodings=["x"])
-click = alt.selection_point(encodings=["color"])
-
-# Top Panel: Scatter Plot (Year Constructed vs Square Footage)
-scatter = (
-    alt.Chart(data)
-    .mark_point()
-    .encode(
-        alt.X("Year Constructed:Q", title="Year Constructed"),
-        alt.Y("Square Footage:Q", title="Square Footage"),
-        color=alt.condition(brush, color, alt.value("lightgray")),
-        size=alt.Size("Total Floors:Q", scale=alt.Scale(range=[50, 300]), title="Total Floors"),
-        tooltip=["Agency Name", "Location Name", "Square Footage", "Year Constructed"]
-    )
-    .properties(width=550, height=300, title="Building Size by Construction Year")
-    .add_params(brush)
-    .transform_filter(click)
-)
-
-# Bottom Panel: Bar Chart (Count of Building Status)
-bar_chart = (
-    alt.Chart(data)
-    .mark_bar()
-    .encode(
-        x="count()",
-        y=alt.Y("Bldg Status:N", title="Building Status"),
-        color=alt.condition(click, color, alt.value("lightgray")),
-    )
-    .transform_filter(brush)
-    .properties(width=550, title="Building Status Distribution")
-    .add_params(click)
-)
-
-# Combined Chart
-chart = alt.vconcat(scatter, bar_chart, title="Building Inventory Insights")
-
-# Tabs for Themes
-tab1, tab2 = st.tabs(["Streamlit Theme", "Altair Native Theme"])
-
-with tab1:
-    st.altair_chart(chart, theme="streamlit", use_container_width=True)
-with tab2:
-    st.altair_chart(chart, theme=None, use_container_width=True)
+import matplotlib.pyplot as plt
+
+# Title of the app
+st.title("Dataset Visualizer")
+
+# File uploader for CSV files
+url = "https://raw.githubusercontent.com/UIUC-iSchool-DataViz/is445_data/main/building_inventory.csv"
+
+data = pd.read_csv(url)
+    
+    # Display the dataset
+st.subheader("Dataset Preview")
+st.write(data.head())
+    
+    # Display basic statistics
+st.subheader("Dataset Summary")
+st.write(data.describe())
+    
+    # Column selection for visualization
+st.subheader("Data Visualization")
+column = st.selectbox("Select a column for visualization", data.columns)
+    
+if column:
+    # Plot histogram for the selected column
+    st.write(f"Histogram for {column}")
+    fig, ax = plt.subplots()
+    data[column].hist(bins=20, ax=ax, color='skyblue', edgecolor='black')
+    ax.set_title(f"Histogram of {column}")
+    ax.set_xlabel(column)
+    ax.set_ylabel("Frequency")
+    st.pyplot(fig)