Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,80 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+import pandas as pd
+import seaborn as sns
+import matplotlib.pyplot as plt
+
+st.title("Penguin Dataset Explorer with Seaborn")
+
+# Load the dataset
+
+df = sns.load_dataset("penguins")
+
+
+# Sidebar filters
+st.sidebar.header("Filters")
+
+species_filter = st.sidebar.multiselect(
+    "Select Species",
+    options=df["species"].unique(),
+    default=df["species"].unique()
+)
+
+sex_filter = st.sidebar.multiselect(
+    "Select Sex",
+    options=df["sex"].unique(),
+    default=df["sex"].unique()
+)
+
+# Data Filtering
+df_filtered = df[df["species"].isin(species_filter)]
+df_filtered = df_filtered[df_filtered["sex"].isin(sex_filter)]
+
+
+# Display data
+st.subheader("Filtered Penguin Data")
+st.dataframe(df_filtered.sample(10))
+
+
+# Plotting options
+st.subheader("Visualizations")
+
+if not df_filtered.empty:
+    st.write("---")
+
+    # Histogram of bill length
+    st.subheader("Bill Length Distribution")
+    fig_bill_length = plt.figure()
+    sns.histplot(df_filtered["bill_length_mm"], kde=True)
+    plt.xlabel("Bill Length (mm)")
+    plt.ylabel("Frequency")
+    plt.title("Bill Length Distribution of Penguins")
+    st.pyplot(fig_bill_length)
+
+    st.write("---")
+
+    # Scatter plot of bill length vs. flipper length
+    st.subheader("Bill Length vs. Flipper Length")
+    fig_bill_flipper = plt.figure()
+    sns.scatterplot(x="bill_length_mm", y="flipper_length_mm", data=df_filtered)
+    plt.xlabel("Bill Length (mm)")
+    plt.ylabel("Flipper Length (mm)")
+    plt.title("Bill Length vs Flipper Length")
+    st.pyplot(fig_bill_flipper)
+
+    st.write("---")
+
+    # Boxplot of bill length by species
+    st.subheader("Bill Length by Species")
+    fig_bill_species = plt.figure()
+    sns.boxplot(x="species", y="bill_length_mm", data=df_filtered)
+    plt.xlabel("Species")
+    plt.ylabel("Bill Length (mm)")
+    plt.title("Bill Length by Species")
+    st.pyplot(fig_bill_species)
+
+
+else:
+    st.warning("No data to display after applying filters. Adjust filters or the dataset.")
+
 
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+st.sidebar.markdown("Data Source: [Seaborn Penguin Dataset](https://seaborn.pydata.org/tutorial/penguins.html)")