Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,90 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+# Sayfa Genişlik Ayarı
+st.set_page_config(layout="wide", page_title="Gold Analysis Dashboard")
+plt.style.use('dark_background')
+
+# 1. VERİ YÜKLEME
+@st.cache_data
+def load_data():
+    df = pd.read_csv("gld_price_data.csv")
+    df['Date'] = pd.to_datetime(df['Date'])
+    df['YEAR'] = df['Date'].dt.year
+    return df
+
+df = load_data()
+
+# 2. SOL PANEL (SIDEBAR) - TIKLAYARAK SEÇME
+st.sidebar.markdown("# 📅 Filtreler / Filters")
+years_list = sorted([y for y in df['YEAR'].unique() if y >= 2008])
+
+year = st.sidebar.selectbox(
+    "Yıl Seçin / Select Year",
+    options=years_list,
+    index=0
+)
+
+filtered_df = df[df['YEAR'] == year]
+
+# 3. ANA BAŞLIK (BÜYÜK BOYUT)
+st.markdown("<h1 style='text-align: center;'>Gold Price Analysis / Altın Fiyat Analizi</h1>", unsafe_allow_html=True)
+st.divider()
+
+# 4. YÖNETİCİ BİLGİ NOTU (İSTEĞİN ÜZERİNE EN ÜSTTE)
+st.markdown("## 💼 Yönetici Bilgi Notu / Executive Summary") # ## ile başlık büyütüldü
+info_col1, info_col2 = st.columns(2)
+
+if year == 2008:
+    with info_col1:
+        st.warning("### 🇹🇷 2008'de altın güvenli limandır, alım faydalıdır.") # Yazı boyutu büyütüldü
+    with info_col2:
+        st.warning("### 🇺🇸 Gold is a safe haven in 2008; buying is beneficial.")
+else:
+    with info_col1:
+        st.success(f"### 🇹🇷 {year} yılı verileri istikrarlı görünüyor.")
+    with info_col2:
+        st.success(f"### 🇺🇸 Data for {year} appears stable.")
+
+st.divider()
+
+# 5. ANA GRAFİK: ZAMAN SERİSİ (KÜÇÜLTÜLMÜŞ)
+st.markdown(f"## 📈 {year} Analizi / Analysis")
+
+fig1, ax1 = plt.subplots(figsize=(8, 2.5)) 
+ax1.plot(filtered_df['Date'], filtered_df['GLD'], color='gold', linewidth=1.5)
+ax1.fill_between(filtered_df['Date'], filtered_df['GLD'], color='gold', alpha=0.1)
+
+# Eksen ayarı
+y_min, y_max = filtered_df['GLD'].min(), filtered_df['GLD'].max()
+ax1.set_ylim(y_min * 0.98, y_max * 1.02)
+
+st.pyplot(fig1)
+
+# GRAFİK NOTU (DAHA BÜYÜK VE OKUNAKLI)
+st.markdown(f"#### 📝 Not: Bu grafik {year} yılındaki günlük fiyat hareketlerini gösterir. / Note: This chart shows daily price movements in {year}.")
+
+st.divider()
+
+# 6. DİĞER GRAFİKLER (YAN YANA)
+col_left, col_right = st.columns(2)
+
+with col_left:
+    st.markdown("### 🎯 Dağılım / Distribution")
+    fig2, ax2 = plt.subplots(figsize=(5, 3))
+    sns.kdeplot(x=filtered_df['GLD'], fill=True, color="orange", ax=ax2)
+    st.pyplot(fig2)
+
+with col_right:
+    st.markdown("### 🌡️ Korelasyon / Correlation")
+    fig3, ax3 = plt.subplots(figsize=(5, 3))
+    sns.heatmap(filtered_df.corr(numeric_only=True), annot=True, cmap='YlOrBr', ax=ax3, annot_kws={"size": 7})
+    st.pyplot(fig3)
 
-"""
-# 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])),
-    ))
+# 7. VERİ TABLOSU
+with st.expander("Verileri Gör / View Data"):
+    st.dataframe(filtered_df.head(), use_container_width=True)
+    csv = filtered_df.to_csv(index=False).encode('utf-8')
+    st.download_button("📥 İndir / Download", data=csv, file_name=f'gold_{year}.csv')