exploration initiale + debut visualisation

frontend/main.py

@@ -1,10 +1,60 @@
 import pandas as pd
 import streamlit as st
+import matplotlib.pyplot as plt
+import seaborn as sns
 
-st.title("Hello world!")
+st.title("Project Miner")
 
-uploaded_file = st.file_uploader("Choose a file")
-if uploaded_file is not None:
-    df = pd.read_csv(uploaded_file)
-    st.write(df.head(10))
-    st.write(df.tail(10))
+# File uploader
+uploaded_file = st.file_uploader("Upload your CSV file", type=["csv"])
+
+if uploaded_file:
+    data = pd.read_csv(uploaded_file)
+    st.success("File loaded successfully!")
+
+    # Data Preview
+    st.header("Data Preview")
+    
+    st.subheader("First 5 Rows")
+    st.write(data.head())
+    
+    st.subheader("Last 5 Rows")
+    st.write(data.tail())
+    
+    # Data Summary
+    st.header("Data Summary")
+    
+    st.subheader("Basic Information")
+    st.write(f"Number of Rows: {data.shape[0]}")
+    st.write(f"Number of Columns: {data.shape[1]}")
+    st.write(f"Column Names: {list(data.columns)}")
+    
+    st.subheader("Missing Values by Column")
+    missing_values = data.isnull().sum()
+    st.write(missing_values)
+    
+    st.subheader("Statistical Summary")
+    st.write(data.describe())
+    
+    # Data Visualization
+    st.header("Data Visualization")
+
+    # Histogram
+    st.subheader("Histogram")
+    column_to_plot = st.selectbox("Select Column for Histogram", data.columns)
+    if column_to_plot:
+        fig, ax = plt.subplots()
+        ax.hist(data[column_to_plot].dropna(), bins=20, edgecolor='k')
+        ax.set_title(f'Histogram of {column_to_plot}')
+        ax.set_xlabel(column_to_plot)
+        ax.set_ylabel('Frequency')
+        st.pyplot(fig)
+    
+    # Boxplot
+    st.subheader("Boxplot")
+    column_to_plot_box = st.selectbox("Select Column for Boxplot", data.columns, key="boxplot")
+    if column_to_plot_box:
+        fig, ax = plt.subplots()
+        sns.boxplot(y=data[column_to_plot_box].dropna(), ax=ax)
+        ax.set_title(f'Boxplot of {column_to_plot_box}')
+        st.pyplot(fig)